The Azotobacter vinelandii FeSII protein forms an oxygen-resistant complex with the nitrogenase MoFe and Fe proteins. FeSII is an adrenodoxin-type ferredoxin that forms a dimer in solution. Previously, the crystal structure was solved [Schlesier et al. (2016), J. Am. Chem. Soc. 138, 239–247] with five copies in the asymmetric unit. One copy is a normal adrenodoxin domain that forms a dimer with its crystallographic symmetry mate. The other four copies are in an `open' conformation with a loop flipped out exposing the 2Fe–2S cluster. The open and closed conformations were interpreted as oxidized and reduced, respectively, and the large conformational change in the open configuration allowed binding to nitrogenase. Here, the structure of FeSII was independently solved in the same crystal form. The positioning of the atoms in the unit cell is similar to the earlier report. However, the interpretation of the structure is different. The `open' conformation is interpreted as the product of a crystallization-induced domain swap. The 2Fe–2S cluster is not exposed to solvent, but in the crystal its interacting helix is replaced by the same helix residues from a crystal symmetry mate. The domain swap is complicated, as it is unusual in being in the middle of the protein rather than at a terminus, and it creates arrangements of molecules that can be interpreted in multiple ways. It is also cautioned that crystal structures should be interpreted in terms of the contents of the entire crystal rather than of one asymmetric unit.

The Mycobacterium tuberculosis trifunctional enzyme (MtTFE) is an α2β2 tetrameric enzyme in which the α-chain harbors the 2E-enoyl-CoA hydratase (ECH) and 3S-hydroxyacyl-CoA dehydrogenase (HAD) active sites, and the β-chain provides the 3-ketoacyl-CoA thiolase (KAT) active site. Linear, medium-chain and long-chain 2E-enoyl-CoA molecules are the preferred substrates of MtTFE. Previous crystallographic binding and modeling studies identified binding sites for the acyl-CoA substrates at the three active sites, as well as the NAD binding pocket at the HAD active site. These studies also identified three additional CoA binding sites on the surface of MtTFE that are different from the active sites. It has been proposed that one of these additional sites could be of functional relevance for the substrate channeling (by surface crawling) of reaction intermediates between the three active sites. Here, 226 fragments were screened in a crystallographic fragment-binding study of MtTFE crystals, resulting in the structures of 16 MtTFE–fragment complexes. Analysis of the 121 fragment-binding events shows that the ECH active site is the `binding hotspot' for the tested fragments, with 41 binding events. The mode of binding of the fragments bound at the active sites provides additional insight into how the long-chain acyl moiety of the substrates can be accommodated at their proposed binding pockets. In addition, the 20 fragment-binding events between the active sites identify potential transient binding sites of reaction intermediates relevant to the possible channeling of substrates between these active sites. These results provide a basis for further studies to understand the functional relevance of the latter binding sites and to identify substrates for which channeling is crucial.

Eukaryotic TIR (Toll/interleukin-1 receptor protein) domains signal via TIR–TIR interactions, either by self-association or by interaction with other TIR domains. In mammals, TIR domains are found in Toll-like receptors (TLRs) and cytoplasmic adaptor proteins involved in pro-inflammatory signaling. Previous work revealed that the MAL TIR domain (MALTIR) nucleates the assembly of MyD88TIR into crystalline arrays in vitro. A microcrystal electron diffraction (MicroED) structure of the MyD88TIR assembly has previously been solved, revealing a two-stranded higher-order assembly of TIR domains. In this work, it is demonstrated that the TIR domain of TLR2, which is reported to signal as a heterodimer with either TLR1 or TLR6, induces the formation of crystalline higher-order assemblies of MyD88TIR in vitro, whereas TLR1TIR and TLR6TIR do not. Using an improved data-collection protocol, the MicroED structure of TLR2TIR-induced MyD88TIR microcrystals was determined at a higher resolution (2.85 Å) and with higher completeness (89%) compared with the previous structure of the MALTIR-induced MyD88TIR assembly. Both assemblies exhibit conformational differences in several areas that are important for signaling (for example the BB loop and CD loop) compared with their monomeric structures. These data suggest that TLR2TIR and MALTIR interact with MyD88 in an analogous manner during signaling, nucleating MyD88TIR assemblies uni­directionally.

A group of three deep-learning tools, referred to collectively as CHiMP (Crystal Hits in My Plate), were created for analysis of micrographs of protein crystallization experiments at the Diamond Light Source (DLS) synchrotron, UK. The first tool, a classification network, assigns images into categories relating to experimental outcomes. The other two tools are networks that perform both object detection and instance segmentation, resulting in masks of individual crystals in the first case and masks of crystallization droplets in addition to crystals in the second case, allowing the positions and sizes of these entities to be recorded. The creation of these tools used transfer learning, where weights from a pre-trained deep-learning network were used as a starting point and repurposed by further training on a relatively small set of data. Two of the tools are now integrated at the VMXi macromolecular crystallography beamline at DLS, where they have the potential to absolve the need for any user input, both for monitoring crystallization experiments and for triggering in situ data collections. The third is being integrated into the XChem fragment-based drug-discovery screening platform, also at DLS, to allow the automatic targeting of acoustic compound dispensing into crystallization droplets.

Fatty acid-derivative prodrugs have been utilized extensively to improve the physicochemical, biopharmaceutical and pharmacokinetic properties of active pharmaceutical ingredients. However, to our knowledge, the crystallization behavior of prodrugs modified with different fatty acids has not been explored. In the present work, a series of paliperidone aliphatic prodrugs with alkyl chain lengths ranging from C4 to C16 was investigated with respect to crystal structure, crystal morphology and crystallization kinetics. The paliperidone derivatives exhibited isostructural crystal packing, despite the different alkyl chain lengths, and crystallized with the dominant (100) face in both melt and solution. The rate of crystallization for paliperidone derivatives in the melt increases with alkyl chain length owing to greater molecular mobility. In contrast, the longer chains prolong the nucleation induction time and reduce the crystal growth kinetics in solution. The results show a correlation between difficulty of nucleation in solution and the interfacial energy. This work provides insight into the crystallization behavior of paliperidone aliphatic prodrugs and reveals that the role of alkyl chain length in the crystallization behavior has a strong dependence on the crystallization method.

Highly accurate protein structure prediction can generate accurate models of protein and protein–protein complexes in X-ray crystallography. However, the question of how to make more effective use of predicted models for completing structure analysis, and which strategies should be employed for the more challenging cases such as multi-helical structures, multimeric structures and extremely large structures, both in the model preparation and in the completion steps, remains open for discussion. In this paper, a new strategy is proposed based on the framework of direct methods and dual-space iteration, which can greatly simplify the pre-processing steps of predicted models both in normal and in challenging cases. Following this strategy, full-length models or the conservative structural domains could be used directly as the starting model, and the phase error and the model bias between the starting model and the real structure would be modified in the direct-methods-based dual-space iteration. Many challenging cases (from CASP14) have been tested for the general applicability of this constructive strategy, and almost complete models have been generated with reasonable statistics. The hybrid strategy therefore provides a meaningful scheme for X-ray structure determination using a predicted model as the starting point.

The application of grazing-incidence total X-ray scattering (GITXS) for pair distribution function (PDF) analysis using >50 keV X-rays from synchrotron light sources has created new opportunities for structural characterization of supported thin films with high resolution. Compared with grazing-incidence wide-angle X-ray scattering, which is only useful for highly ordered materials, GITXS/PDFs expand such analysis to largely disordered or nanostructured materials by examining the atomic pair correlations dependent on the direction relative to the surface of the supporting substrate. A characterization of nanocrystalline In2O3-derived thin films is presented here with in-plane-isotropic and out-of-plane-anisotropic orientational ordering of the atomic structure, each synthesized using different techniques. The atomic orientations of such films are known to vary based on the synthetic conditions. Here, an azimuthal orientational analysis of these films using GITXS with a single incident angle is shown to resolve the markedly different orientations of the atomic structures with respect to the planar support and the different degrees of long-range order, and hence, the terminal surface chemistries. It is anticipated that orientational analysis of GITXS/PDF data will offer opportunities to extend structural analyses of thin films by providing a means to qualitatively determine the major atomic orientation within nanocrystalline and, eventually, non-crystalline films.

As an important characterization method, pair distribution function (PDF) has been extensively used in structural analysis of nanomaterials, providing key insights into the degree of crystallinity, atomic structure, local disorder etc. The collection of scattering signals with good statistics is necessary for a reliable structural analysis. However, current conventional electron diffraction experiments using PDF (ePDF) are limited in their ability to acquire continuous diffraction rings for large nanoparticles. Herein, a new method – tilt-ePDF – is proposed to improve the data quality and compatibility of ePDF by a combination of electron diffraction and specimen tilting. In the present work, a tilt-series of electron diffraction patterns was collected from gold nanoparticles with three different sizes and a standard sample polycrystalline aluminium film for ePDF analysis. The results show that tilt-ePDF can not only enhance the continuity of diffraction rings, but can also improve the signal-to-noise ratio in the high scattering angle range. As a result, compared with conventional ePDF data, tilt-ePDF data provide structure parameters with a better accuracy and lower residual factors in the refinement against the crystal structure. This method provides a new way of utilizing ePDF to obtain accurate local structure information from nanoparticles.

Leishmaniasis is a neglected parasitic tropical disease with numerous clinical manifestations. One of the causative agents of cutaneous leishmaniasis (CL) is Leishmania tropica (L. tropica) known for causing ulcerative lesions on the skin. The adverse effects of the recommended available drugs, such as amphotericin B and pentavalent antimonial, and the emergence of drug resistance in parasites, mean the search for new safe and effective anti-leishmanial agents is crucial. Miltefosine (MIL) was the first recommended oral medication, but its use is now limited because of the rapid emergence of resistance. Pharmaceutical cocrystallization is an effective method to improve the physicochemical and biological properties of active pharmaceutical ingredients (APIs). Herein, we describe the cocrystallization of coumarin-3-carb­oxy­lic acid (CU, 1a; 2-oxobenzo­pyrane-3-carb­oxy­lic acid, C10H6O4) with five coformers [2-amino-3-bromo­pyridine (1b), 2-amino-5-(tri­fluoro­methyl)-pyridine (1c), 2-amino-6-methyl­pyridine (1d), p-amino­benzoic acid (1e) and amitrole (1f)] in a 1:1 stoichiometric ratio via the neat grinding method. The cocrystals 2–6 obtained were characterized via single-crystal X-ray diffraction, powder X-ray diffraction, differential scanning calorimetry and thermogravimetric analysis, as well as Fourier transform infrared spectroscopy. Non-covalent interactions, such as van der Waals, hydrogen bonding, C—H⋯π and π⋯π interactions contribute significantly towards the packing of a crystal structure and alter the physicochemical and biological activity of CU. In this research, newly synthesized cocrystals were evaluated for their anti-leishmanial activity against the MIL-resistant L. tropica and cytotoxicity against the 3T3 (normal fibroblast) cell line. Among the non-cytotoxic cocrystals synthesized (2–6), CU:1b (2, IC50 = 61.83 ± 0.59 µM), CU:1c (3, 125.7 ± 1.15 µM) and CU:1d (4, 48.71 ± 0.75 µM) appeared to be potent anti-leishmanial agents and showed several-fold more anti-leishmanial potential than the tested standard drug (MIL, IC50 = 169.55 ± 0.078 µM). The results indicate that cocrystals 2–4 are promising anti-leishmanial agents which require further exploration.

The functionality and efficiency of proteins within a biological membrane are highly dependent on both the membrane lipid composition and the physiochemical properties of the solution. Lipid mesophases are directly influenced by changes in temperature, pH, water content or due to individual properties of single lipids such as photoswitchability. In this work, we were able to induce light- and temperature-driven mesophase transitions in a model membrane system containing a mixture of 1,2-dipalmitoyl-phosphatidylcholine phospho­lipids and azo­benzene amphiphiles. We observed reversible and reproducible transitions between the lamellar and Pn3m cubic phase after illuminating the sample for 5 min with light of 365 and 455 nm wavelengths, respectively, to switch between the cis and trans states of the azo­benzene N=N double bond. These light-controlled mesophase transitions were found for mixed complexes with up to 20% content of the photosensitive molecule and at temperatures below the gel-to-liquid crystalline phase transition temperature of 33°C. Our results demonstrate the potential to design bespoke model systems to study the response of membrane lipids and proteins upon changes in mesophase without altering the environment and thus provide a possible basis for drug delivery systems.

Ultra-intense, ultra-fast X-ray free-electron lasers (XFELs) enable the imaging of single protein molecules under ambient temperature and pressure. A crucial aspect of structure reconstruction involves determining the relative orientations of each diffraction pattern and recovering the missing phase information. In this paper, we introduce a predicted model-aided algorithm for orientation determination and phase retrieval, which has been tested on various simulated datasets and has shown significant improvements in the success rate, accuracy and efficiency of XFEL data reconstruction.

Light–oxygen–voltage (LOV) domains are small photosensory flavoprotein modules that allow the conversion of external stimuli (sunlight) into intra­cellular signals responsible for various cell behaviors (e.g. phototropism and chloro­plast relocation). This ability relies on the light-induced formation of a covalent thio­ether adduct between a flavin chromophore and a reactive cysteine from the protein environment, which triggers a cascade of structural changes that result in the activation of a serine/threonine (Ser/Thr) kinase. Recent developments in time-resolved crystallography may allow the activation cascade of the LOV domain to be observed in real time, which has been elusive. In this study, we report a robust protocol for the production and stable delivery of microcrystals of the LOV domain of phototropin Phot-1 from Chlamydomonas reinhardtii (CrPhotLOV1) with a high-viscosity injector for time-resolved serial synchrotron crystallography (TR-SSX). The detailed process covers all aspects, from sample optimization to data collection, which may serve as a guide for soluble protein preparation for TR-SSX. In addition, we show that the crystals obtained preserve the photoreactivity using infrared spectroscopy. Furthermore, the results of the TR-SSX experiment provide high-resolution insights into structural alterations of CrPhotLOV1 from Δt = 2.5 ms up to Δt = 95 ms post-photoactivation, including resolving the geometry of the thio­ether adduct and the C-terminal region implicated in the signal transduction process.

This study examines various methods for modelling the electron density and, thus, the electrostatic potential of an organometallic complex for use in crystal structure refinement against 3D electron diffraction (ED) data. It focuses on modelling the scattering factors of iron(III), considering the electron density distribution specific for coordination with organic linkers. We refined the structural model of the metal–organic complex, iron(III) acetyl­acetonate (FeAcAc), using both the independent atom model (IAM) and the transferable aspherical atom model (TAAM). TAAM refinement initially employed multipolar parameters from the MATTS databank for acetyl­acetonate, while iron was modelled with a spherical and neutral approach (TAAM ligand). Later, custom-made TAAM scattering factors for Fe—O coordination were derived from DFT calculations [TAAM-ligand-Fe(III)]. Our findings show that, in this compound, the TAAM scattering factor corresponding to Fe3+ has a lower scattering amplitude than the Fe3+ charged scattering factor described by IAM. When using scattering factors corresponding to the oxidation state of iron, IAM inaccurately represents electrostatic potential maps and overestimates the scattering potential of the iron. In addition, TAAM significantly improved the fitting of the model to the data, shown by improved R1 values, goodness-of-fit (GooF) and reduced noise in the Fourier difference map (based on the residual distribution analysis). For 3D ED, R1 values improved from 19.36% (IAM) to 17.44% (TAAM-ligand) and 17.49% (TAAM-ligand-Fe3+), and for single-crystal X-ray diffraction (SCXRD) from 3.82 to 2.03% and 1.98%, respectively. For 3D ED, the most significant R1 reductions occurred in the low-resolution region (8.65–2.00 Å), dropping from 20.19% (IAM) to 14.67% and 14.89% for TAAM-ligand and TAAM-ligand-Fe(III), respectively, with less improvement in high-resolution ranges (2.00–0.85 Å). This indicates that the major enhancements are due to better scattering modelling in low-resolution zones. Furthermore, when using TAAM instead of IAM, there was a noticeable improvement in the shape of the thermal ellipsoids, which more closely resembled those of an SCXRD-refined model. This study demonstrates the applicability of more sophisticated scattering factors to improve the refinement of metal–organic complexes against 3D ED data, suggesting the need for more accurate modelling methods and highlighting the potential of TAAM in examining the charge distribution of large molecular structures using 3D ED.

The TIR (Toll/interleukin-1 receptor) domain represents a vital structural element shared by proteins with roles in immunity signalling pathways across phyla (from humans and plants to bacteria). Decades of research have finally led to identifying the key features of the molecular basis of signalling by these domains, including the formation of open-ended (filamentous) assemblies (responsible for the signalling by cooperative assembly formation mechanism, SCAF) and enzymatic activities involving the cleavage of nucleotides. We present a historical perspective of the research that led to this understanding, highlighting the roles that different structural methods played in this process: X-ray crystallography (including serial crystallography), microED (micro-crystal electron diffraction), NMR (nuclear magnetic resonance) spectroscopy and cryo-EM (cryogenic electron microscopy) involving helical reconstruction and single-particle analysis. This perspective emphasizes the complementarity of different structural approaches.

Ultrafast, high-intensity X-ray free-electron lasers can perform diffraction imaging of single protein molecules. Various algorithms have been developed to determine the orientation of each single-particle diffraction pattern and reconstruct the 3D diffraction intensity. Most of these algorithms rely on the premise that all diffraction patterns originate from identical protein molecules. However, in actual experiments, diffraction patterns from multiple different molecules may be collected simultaneously. Here, we propose a predicted model-aided one-step classification–multireconstruction algorithm that can handle mixed diffraction patterns from various molecules. The algorithm uses predicted structures of different protein molecules as templates to classify diffraction patterns based on correlation coefficients and determines orientations using a correlation maximization method. Tests on simulated data demonstrated high accuracy and efficiency in classification and reconstruction.

MltG, a membrane-bound lytic transglycosyl­ase, has roles in terminating glycan polymerization in peptidoglycan and incorporating glycan chains into the cell wall, making it significant in bacterial cell-wall biosynthesis and remodeling. This study provides the first reported MltG structure from Mycobacterium abscessus (maMltG), a superbug that has high antibiotic resistance. Our structural and biochemical analyses revealed that MltG has a flexible peptidoglycan-binding domain and exists as a monomer in solution. Further, the putative active site of maMltG was disclosed using structural analysis and sequence comparison. Overall, this study contributes to our understanding of the transglycosyl­ation reaction of the MltG family, aiding the design of next-generation antibiotics targeting M. abscessus.

A significant part of the present and future of optoelectronic devices lies on thin multilayer heterostructures. Their optical properties depend strongly on strain, being essential to the knowledge of the stress level to optimize the growth process. Here the structural and microstructural characteristics of sub-micron a-ZnO epilayers (12 to 770 nm) grown on r-sapphire by metal–organic chemical vapour deposition are studied. Morphological and structural studies have been made using scanning electron microscopy and high-resolution X-ray diffraction. Plastic unit-cell distortion and corresponding strain have been determined as a function of film thickness. A critical thickness has been observed as separating the non-elastic/elastic states with an experimental value of 150–200 nm. This behaviour has been confirmed from ultraviolet photoelectron spectroscopy, X-ray photoelectron spectroscopy and high-resolution transmission electron microscopy measurements. An equation that gives the balance of strains is proposed as an interesting method to experimentally determine this critical thickness. It is concluded that in the thinnest films an elongation of the Zn—O bond takes place and that the plastic strained ZnO films relax through nucleation of misfit dislocations, which is a consequence of three-dimensional surface morphology.

In recent decades, sustained theoretical and software developments have clearly established that representation analysis and magnetic symmetry groups are complementary concepts that should be used together in the investigation and description of magnetic structures. Historically, they were considered alternative approaches, but currently, magnetic space groups and magnetic superspace groups can be routinely used together with representation analysis, aided by state-of-the-art software tools. After exploring the historical antagonism between these two approaches, we emphasize the significant advancements made in understanding and formally describing magnetic structures by embracing their combined use.

A CuII coordination polymer, catena-poly[[[aqua­copper(II)]-bis­(μ-4-amino­benz­o­ato)-κ2N:O;κ2O:N] monohydrate], {[Cu(pABA)2(H2O)]·H2O}n (pABA = p-amino­benzoate, C7H4NO2−), was synthesized and characterized. It exhibits a one-dimensional chain structure extended into a three-dimensional supra­molecular assembly through hydrogen bonds and π–π inter­actions. While the twinned crystal shows a metrically ortho­rhom­bic lattice and an apparent space group Pbcm, the true symmetry is monoclinic (space group P2/c), with disordered Cu atoms and mixed roles of water mol­ecules (aqua ligand/crystallization water). The luminescence spectrum of the complex shows an emission at 345 nm, cf. 349 nm for pABAH.

The synthesis, crystallization and characterization of a tri­fluoro­methane­sulfonate salt of 5,10,15,20-tetra­kis­(1-benzyl­pyridin-1-ium-4-yl)-21H,23H-por­phy­rin, C68H54N84+·4CF3SO3−·4H2O, 1·OTf, are reported in this work. The reaction between 5,10,15,20-tetra­kis­(pyridin-4-yl)-21H,23H-porphyrin and benzyl bromide in the presence of 0.1 equiv. of Ca(OH)2 in CH3CN under reflux with an N2 atmosphere and subsequent treatment with silver tri­fluoro­methane­sulfonate (AgOTf) salt produced a red–brown solution. This reaction mixture was filtered and the solvent was allowed to evaporate at room temperature for 3 d to give 1·OTf. Crystal structure determination by single-crystal X-ray diffraction (SCXD) revealed that 1·OTf crystallizes in the space group P21/c. The asymmetric unit contains half a porphyrin mol­ecule, two tri­fluoro­methane­sulfonate anions and two water mol­ecules of crystallization. The macrocycle of tetra­pyrrole moieties is planar and unexpectedly it has coordinated CaII ions in occupational disorder. This CaII ion has only 10% occupancy (C72H61.80Ca0.10F12N8O16S4). The pyridinium rings bonded to methyl­ene groups from porphyrin are located in two different arrangements in almost orthogonal positions between the plane formed by the porphyrin and the pyridinium rings. The crystal structure features cation⋯π inter­actions between the CaII atom and the π-system of the phenyl ring of neighboring mol­ecules. Both tri­fluoro­methane­sulfonate anions are found at the periphery of 1, forming hydrogen bonds with water mol­ecules.

Characterization of a material structure with pair distribution function (PDF) analysis typically involves refining a structure model against an experimental data set, but finding or constructing a suitable atomic model for PDF modelling can be an extremely labour-intensive task, requiring carefully browsing through large numbers of possible models. Presented here is POMFinder, a machine learning (ML) classifier that rapidly screens a database of structures, here polyoxometallate (POM) clusters, to identify candidate structures for PDF data modelling. The approach is shown to identify suitable POMs from experimental data, including in situ data collected with fast acquisition times. This automated approach has significant potential for identifying suitable models for structure refinement to extract quantitative structural parameters in materials chemistry research. POMFinder is open source and user friendly, making it accessible to those without prior ML knowledge. It is also demonstrated that POMFinder offers a promising modelling framework for combined modelling of multiple scattering techniques.

Developing semiconductor devices requires a fast and reliable source of strain information with high spatial resolution and strain sensitivity. This work investigates the strain in an axially heterostructured 180 nm-diameter GaInP nanowire with InP segments of varying lengths down to 9 nm, simultaneously probing both materials. Scanning X-ray diffraction (XRD) is compared with Bragg projection ptychography (BPP), a fast single-projection method. BPP offers a sufficient spatial resolution to reveal fine details within the largest segments, unlike scanning XRD. The spatial resolution affects the quantitative accuracy of the strain maps, where BPP shows much-improved agreement with an elastic 3D finite element model compared with scanning XRD. The sensitivity of BPP to small deviations from the Bragg condition is systematically investigated. The experimental confirmation of the model suggests that the large lattice mismatch of 1.52% is accommodated without defects.

BL19U1, an energy-tunable protein complex crystallography beamline at the Shanghai Synchrotron Radiation Facility, has emerged as one of the most productive MX beamlines since opening to the public in July 2015. As of October 2023, it has contributed to over 2000 protein structures deposited in the Protein Data Bank (PDB), resulting in the publication of more than 1000 scientific papers. In response to increasing interest in structure-based drug design utilizing X-ray crystallography for fragment library screening, enhancements have been implemented in both hardware and data collection systems on the beamline to optimize efficiency. Hardware upgrades include the transition from MD2 to MD2S for the diffractometer, alongside the installation of a humidity controller featuring a rapid nozzle exchanger. This allows users to opt for either low-temperature or room-temperature data collection modes. The control system has been upgraded from Blu-Ice to MXCuBE3, which supports website-mode data collection, providing enhanced compatibility and easy expansion with new features. An automated data processing pipeline has also been developed to offer users real-time feedback on data quality.

Macromolecular crystallography contributes significantly to understanding diseases and, more importantly, how to treat them by providing atomic resolution 3D structures of proteins. This is achieved by collecting X-ray diffraction images of protein crystals from important biological pathways. Spotfinders are used to detect the presence of crystals with usable data, and the spots from such crystals are the primary data used to solve the relevant structures. Having fast and accurate spot finding is essential, but recent advances in synchrotron beamlines used to generate X-ray diffraction images have brought us to the limits of what the best existing spotfinders can do. This bottleneck must be removed so spotfinder software can keep pace with the X-ray beamline hardware improvements and be able to see the weak or diffuse spots required to solve the most challenging problems encountered when working with diffraction images. In this paper, we first present Bragg Spot Detection (BSD), a large benchmark Bragg spot image dataset that contains 304 images with more than 66 000 spots. We then discuss the open source extensible U-Net-based spotfinder Bragg Spot Finder (BSF), with image pre-processing, a U-Net segmentation backbone, and post-processing that includes artifact removal and watershed segmentation. Finally, we perform experiments on the BSD benchmark and obtain results that are (in terms of accuracy) comparable to or better than those obtained with two popular spotfinder software packages (Dozor and DIALS), demonstrating that this is an appropriate framework to support future extensions and improvements.

The pair angle distribution function (PADF) is a three- and four-atom correlation function that characterizes the local angular structure of disordered materials, particles or nanocrystalline materials. The PADF can be measured using X-ray or electron fluctuation diffraction data, which can be collected by scanning or flowing a structurally disordered sample through a focused beam. It is a natural generalization of established pair distribution methods, which do not provide angular information. The software package pypadf provides tools to calculate the PADF from fluctuation diffraction data. The package includes tools for calculating the intensity correlation function, which is a necessary step in the PADF calculation and also the basis for other fluctuation scattering analysis techniques.

The influence of various combinations of residual stress, composition and grain interaction gradients in polycrystalline materials with cubic symmetry on energy-dispersive X-ray stress analysis is theoretically investigated. For the evaluation of the simulated sin2ψ distributions, two different strategies are compared with regard to their suitability for separating the individual gradients. It is shown that the separation of depth gradients of the strain-free lattice parameter a0(z) from residual stress gradients σ(z) is only possible if the data analysis is carried out in section planes parallel to the surface. The impact of a surface layer z* that is characterized by a direction-dependent grain interaction model in contrast to the volume of the material is quantified by comparing a ferritic and an austenitic steel, which feature different elastic anisotropy. It is shown to be of minor influence on the resulting residual stress depth profiles if the data evaluation is restricted to reflections hkl with orientation factors Γhkl close to the model-independent orientation Γ*. Finally, a method is proposed that allows the thickness of the anisotropic surface layer z* to be estimated on the basis of an optimization procedure.

A deep-learning algorithm is proposed for the inpainting of Bragg coherent diffraction imaging (BCDI) patterns affected by detector gaps. These regions of missing intensity can compromise the accuracy of reconstruction algorithms, inducing artefacts in the final result. It is thus desirable to restore the intensity in these regions in order to ensure more reliable reconstructions. The key aspect of the method lies in the choice of training the neural network with cropped sections of diffraction data and subsequently patching the predictions generated by the model along the gap, thus completing the full diffraction peak. This approach enables access to a greater amount of experimental data for training and offers the ability to average overlapping sections during patching. As a result, it produces robust and dependable predictions for experimental data arrays of any size. It is shown that the method is able to remove gap-induced artefacts on the reconstructed objects for both simulated and experimental data, which becomes essential in the case of high-resolution BCDI experiments.

Small-angle X-ray tensor tomography and the related wide-angle X-ray tensor tomography are X-ray imaging techniques that tomographically reconstruct the anisotropic scattering density of extended samples. In previous studies, these methods have been used to image samples where the scattering density depends slowly on the direction of scattering, typically modeling the directionality, i.e. the texture, with a spherical harmonics expansion up until order ℓ = 8 or lower. This study investigates the performance of several established algorithms from small-angle X-ray tensor tomography on samples with a faster variation as a function of scattering direction and compares their expected and achieved performance. The various algorithms are tested using wide-angle scattering data from an as-drawn steel wire with known texture to establish the viability of the tensor tomography approach for such samples and to compare the performance of existing algorithms.

Structural modelling of operando pair distribution function (PDF) data of complex functional materials can be highly challenging. To aid the understanding of complex operando PDF data, this article demonstrates a toolbox for PDF analysis. The tools include denoising using principal component analysis together with the structureMining, similarityMapping and nmfMapping apps available through the online service `PDF in the cloud' (PDFitc, https://pdfitc.org/). The toolbox is used for both ex situ and operando PDF data for 3 nm TiO2-bronze nanocrystals, which function as the active electrode material in a Li-ion battery. The tools enable structural modelling of the ex situ and operando PDF data, revealing two pristine TiO2 phases (bronze and anatase) and two lithiated LixTiO2 phases (lithiated versions of bronze and anatase), and the phase evolution during galvanostatic cycling is characterized.

This article demonstrates the feasibility of obtaining accurate pair distribution functions of thin amorphous films down to 80 nm, using modern laboratory-based X-ray sources. The pair distribution functions are obtained using a single diffraction scan without the requirement of additional scans of the substrate or of the air. By using a crystalline substrate combined with an oblique scattering geometry, most of the Bragg scattering of the substrate is avoided, rendering the substrate Compton scattering the primary contribution. By utilizing a discriminating energy filter, available in the latest generation of modern detectors, it is demonstrated that the Compton intensity can further be reduced to negligible levels at higher wavevector values. Scattering from the sample holder and the air is minimized by the systematic selection of pixels in the detector image based on the projected detection footprint of the sample and the use of a 3D-printed sample holder. Finally, X-ray optical effects in the absorption factors and the ratios between the Compton intensity of the substrate and film are taken into account by using a theoretical tool that simulates the electric field inside the film and the substrate, which aids in planning both the sample design and the measurement protocol.

X-ray scattering has become a major tool in the structural characterization of nanoscale materials. Thanks to the widely available experimental and computational atomic models, coordinate-based X-ray scattering simulation has played a crucial role in data interpretation in the past two decades. However, simulation of real-space pair distance distribution functions (PDDFs) from small- and wide-angle X-ray scattering, SAXS/WAXS, has been relatively less exploited. This study presents a comparison of PDDF simulation methods, which are applied to molecular structures that range in size from β-cyclo­dextrin [1 kDa molecular weight (MW), 66 non-hydrogen atoms] to the satellite tobacco mosaic virus capsid (1.1 MDa MW, 81 960 non-hydrogen atoms). The results demonstrate the power of interpretation of experimental SAXS/WAXS from the real-space view, particularly by providing a more intuitive method for understanding of partial structure contributions. Furthermore, the computational efficiency of PDDF simulation algorithms makes them attractive as approaches for the analysis of large nanoscale materials and biological assemblies. The simulation methods demonstrated in this article have been implemented in stand-alone software, SolX 3.0, which is available to download from https://12idb.xray.aps.anl.gov/solx.html.

Here, it is investigated how optical properties of single scatterers in interacting multi-particle systems influence measurable structure factors. Both particles with linear gradients of their scattering length density and core–shell structures evoke characteristic deviations between the weighted sum 〈S(Q)〉 of partial structure factors in a multi-component system and experimentally accessible measurable structure factors SM(Q). While 〈S(Q)〉 contains only the structural information of self-organizing systems, SM(Q) is additionally influenced by the optical properties of their constituents, resulting in features such as changing amplitudes, additional peaks in the low-wavevector region or splitting of higher-order maxima, which are not related to structural reasons. It is shown that these effects can be systematically categorized according to the qualitative behaviour of the form factor in the Guinier region, which enables assessing the suitability of experimentally obtained structure factors to genuinely represent the microstructure of complex systems free from any particular model assumption. Hence, a careful data analysis regarding size distribution and optical properties of single scatterers is mandatory to avoid a misinterpretation of measurable structure factors.

Slow-cooled CF8M duplex stainless steel is used for critical parts of the primary coolant pipes of nuclear reactors. This steel can endure severe service conditions, but it tends to become more brittle upon very long-term aging (tens of years). Therefore, it is essential to understand its specific microstructure and temporal evolution. As revealed by electron backscatter diffraction (EBSD) analyses, the microstructure consists of millimetre-scale ferritic grains within which austenite lath packets have grown with preferred crystallographic orientations concerning the parent ferritic phase far from the ferrite grain boundaries. In these lath packets where the austenite phase is nucleated, the lath morphology and crystal orientation accommodate the two ferrite orientations. Globally, the Pitsch orientation relationship appears to display the best agreement with the experimental data compared with other classical relationships. The austenite lath packets are parallel plate-shaped laths, characterized by their normal n. A novel methodology is introduced to elucidate the expected relationship between n and the crystallographic orientation given the coarse interfaces, even though n is only partly known from the observation surface, in contrast to the 3D crystal orientations measured by EBSD. The distribution of retrieved normals n is shown to be concentrated over a set of discrete orientations. Assuming that the ferrite and austenite obey the Pitsch orientation relationship, the determined lath normals are close to an invariant direction of the parent phase given by the same orientation relationship.

Using a 5 µm-diameter X-ray beam, we collected scanning X-ray microdiffraction in both the small-angle (SAXS) and the wide-angle (WAXS) regimes from thin sections of fixed human brain tissue from Alzheimer's subjects. The intensity of scattering in the SAXS regime of these patterns exhibits essentially no correlation with the observed intensity in the WAXS regime, indicating that the structures responsible for these two portions of the diffraction patterns, which reflect different length scales, are distinct. SAXS scattering exhibits a power-law behavior in which the log of intensity decreases linearly with the log of the scattering angle. The slope of the log–log curve is roughly proportional to the intensity in the SAXS regime and, surprisingly, inversely proportional to the intensity in the WAXS regime. We interpret these observations as being due to the presence of sub-micrometre-sized voids formed during dehydration of the fixed tissue. The SAXS intensity is due largely to scattering from these voids, while the WAXS intensity derives from the secondary structures of macromolecular material surrounding the voids. The ability to detect and map the presence of voids within thin sections of fixed tissue has the potential to provide novel information on the degradation of human brain tissue in neurodegenerative diseases.

Abu Dhabi Islamic Bank (ADIB) has announced that...

Tranglo, a global cross-border payments company, has expanded...

Italy-based unicorn Satispay has announced...

Japan-based AEON has announced the launch of a...

PayComplete has unveiled a report that...

Archival still from the documentary "Street Gang: How We Got to Sesame Street"; Credit: HBO

This content is from Southern California Public Radio. View the original story at SCPR.org.

Germany-based fintech MODIFI has announced...

BuzzAR has launched BuzzPay,...

Source: Streetwise Reports 11/06/2024

Terawulf Inc. (WULF:NASDAQ) has reported its October 2024 production and operations. The report included significant advancements in self-mining with an operational capacity reaching 8.1 exahash per second (EH/s). This marks a 62% increase from the prior year. The company mined a total of 150 bitcoins during the month, averaging approximately 4.8 bitcoins per day, at a power cost of US$36,789 per bitcoin mined or about US$0.048 per kWh (kilowatt-hour). To improve efficiency, TeraWulf continued its miner refresh program at its Lake Mariner facility, replacing older models with upgraded S19 XP miners following its sale of interest in the Nautilus Cryptomine facility, which enabled additional hardware acquisitions.

Focusing on high-performance computing (HPC) infrastructure, TeraWulf's aim is to establish 72.5 MW HPC hosting capacity at Lake Mariner by Q2 2025. October's operational hash rate averaged 6.8 EH/s, with adjustments made for demand response events and performance optimization measures to enhance profitability. Construction on the company's 20 MW HPC hosting facility, CB-1, remains on schedule for Q1 2025, and a larger 50 MW HPC facility, CB-2, is expected by Q2 2025. The recent sale of TeraWulf's equity interest in Nautilus and new financing through convertible notes are anticipated to support these growth initiatives.

Sean Farrell, Senior Vice President of Operations at TeraWulf, explained in the press release, "October marked another productive month, with TeraWulf mining 150 bitcoin and sustaining an average daily production of around 5 bitcoin . . . In line with our previously outlined plans, we are accelerating the transition to more efficient mining hardware by replacing older miners at Lake Mariner with S19 XP models. We are also working closely with Bitmain's warranty department on a recovery plan to repair and replace 1.5 EH of mining equipment with a target completion by the end of the year. Furthermore, we have established a dedicated Business Development and Performance Optimization team focused on integrating advanced IT and software solutions to improve our operational hash rate and overall efficiency. Building 5, which has been designed to handle higher heat exhaust of the latest generation miners, remains on track to be operational in Q1 2025."

Why Crypto Mining?

The cryptocurrency mining sector has seen recent momentum, bolstered by the U.S. election results and the evolving landscape for Bitcoin. As Benzinga reported on November 6, bitcoin mining stocks experienced notable gains following the U.S. presidential election, which led to Bitcoin reaching record highs. The outcome was anticipated to benefit U.S.-focused mining companies as pro-crypto policies, including a preference for domestic bitcoin production, gained prominence. Benzinga noted that Trump had previously expressed support for more bitcoin mining within the U.S., a stance that influenced broader market optimism in the days following his election.

On November 4, Yahoo! Finance highlighted the growing trend among Bitcoin miners to integrate artificial intelligence (AI) to power a "new industrial revolution." As described by Rob Nelson, who emphasized the impact of cryptocurrency mining as a vehicle for both economic and technological change. This trend has driven miners to secure deals within the AI sector, given the synergies in computational power required for both cryptocurrency and AI initiatives. Nelson projected that this cross-industry expansion could have far-reaching effects, creating value for both miners and AI-focused enterprises.

Additionally, a November 6 report from Time explored the significance of the recent Presidential election outcome for the crypto industry's future regulatory environment. According to Time, Trump's support for the industry included ambitions to boost the country's bitcoin mining footprint, which aligned with crypto PACs' efforts to secure pro-crypto candidates. The article reported that these advocacy groups saw the election as an opportunity to reshape crypto regulation and encourage growth in U.S.-based bitcoin mining.

TeraWulf's Catalysts

TeraWulf's recent initiatives set a foundation for further growth and operational efficiency. According to the company's investor presentation, the sale of its 25% equity interest in the Nautilus facility enhances liquidity. This enables TeraWulf to reinvest in its flagship Lake Mariner site for both HPC and AI expansion.

The transaction also reduces exposure to the expiring Nautilus 2¢ power contract by 2027, positioning the company to benefit from projected power price increases at Lake Mariner. This strategic realignment is anticipated to improve fleet efficiency, with an upgraded mining fleet targeting 13 EH/s by Q1 2025, supported by the deployment of next-gen S21 Pro miners.

What Experts Are Saying...

On November 5, 2024, Roth MKM analyst Darren Aftahi assigned TeraWulf a "Buy" rating and set a price target of US$7.50. Roth highlighted optimism around the company's expansion and potential in high-performance computing (HPC) and bitcoin mining. Roth noted that TeraWulf's planned 72.5 MW of HPC capacity by Q2 2025 could generate annualized revenue of approximately US$90 million, with over US$60 million in profit. [OWNERSHIP_CHART-11184]

The report highlighted the completion of TeraWulf's initial 2.5 MW HPC project and its upcoming 20 MW facility, which remains on track for Q1 2025. Roth analysts pointed to the operational progress at TeraWulf's Lake Mariner facility, emphasizing the company's improvements in mining efficiency with new S19 XP models, which brought its machine efficiency to 22 J/TH.

Ownership and Share Structure

According to Refinitiv, management and insiders hold 6.67% of TeraWulf. Of them, Co-founder, COO, and CTO Nazar M. Khan holds the most, with 4.43%.

Strategic investors hold 21.37%. Of them, Riesling Power LLC holds the most at 5.23%, Baryshore Capital LLC holds 4.77%, Revolve Capital LLC has 4.67%, Opportunity Four of Parabolic Ventures owns 2.46%, and Lake Harriet Holdings LLC has 1.90%.

Institutions have 45.11%. The largest holders there are The Vanguard Group at 6.12%, BlackRock Instituional Trust with 4.22%, Two Sigma Investments LP at 2.28%, Beryl Capital Management LLC holds 1.74%, and Geode Capital Management LLC has 1.66%. The rest is retail.

TeraWulf has a market cap of US$2,375.93 million and 275.29 million free float shares. Their 52-week range is US$ 0.8911 - 7.28.
Sign up for our FREE newsletter at: www.streetwisereports.com/get-news

Important Disclosures:

1) James Guttman wrote this article for Streetwise Reports LLC and provides services to Streetwise Reports as an employee.

2) This article does not constitute investment advice and is not a solicitation for any investment. Streetwise Reports does not render general or specific investment advice and the information on Streetwise Reports should not be considered a recommendation to buy or sell any security. Each reader is encouraged to consult with his or her personal financial adviser and perform their own comprehensive investment research. By opening this page, each reader accepts and agrees to Streetwise Reports' terms of use and full legal disclaimer. Streetwise Reports does not endorse or recommend the business, products, services or securities of any company.

For additional disclosures, please click here.

( Companies Mentioned: WULF:NASDAQ, )

Source: Streetwise Reports 11/07/2024

Sanu Gold Corp. (SANU:CSE; SNGCF:OTCQB; L73:FRA) commenced inaugural phase one drilling, to comprise about 19 holes for up to 2,000 meters (2,000m), at its Diguifara project in Guinea, as announced in a news release. Diguifara is one of this Canadian mineral explorer's three claim blocks totaling 280 square kilometers in the country's Siguiri Basin, a prolific gold district in West Africa. The other two assets are Daina and Bantabaye.

The company plans to drill test three priority targets, Dig 1, Dig 2, and Dig 3, which cover a cumulative strike length of 3.2 kilometers (3.2 km). Auger-in-saprolite samples from these targets showed gold grades up to 4.8 grams per ton (4.8 g/t). Along with auger sampling of bedrock, Sanu previously completed extensive and systematic surface geochemistry and ground geophysical surveys at Diguifara.

Capital Ltd. will complete the drilling, using a large multipurpose rig to drill air core and reverse circulation holes. This company is experienced in drilling large deposits in Guinea, and its investment arm, Capital DI, is a Sanu shareholder. Capital will collect samples on-site and submit them to MSALABS in Bamako, Mali, for analysis.

Sanu Gold is excited to drill at Diguifara because it contains kilometer-scale geochemical and geophysical gold trends and strong gold mineralization in the weathered bedrock and is located within trucking distance to a large operating gold mine, President and Chief Executive Officer (CEO) Martin Pawlitschek told Streetwise Reports in an interview. He said the company could potentially monetize even a modest discovery of about 200,000–300,000 ounces (200–300 Koz) on the block due to this proximity to a major mine. Although it is important to point out that our target here is to make multi-million-ounce discoveries, our targets are large enough to potentially deliver this.

Diguifara is close to AngloGold Ashanti Plc.'s (AU:NYSE; ANG:JSE; AGG:ASX; AGD:LSE) Siguiri mine and mill, which produced gold since the mid-1990s, specifically 214 Koz last year. This South African gold miner owns 14% of Sanu.

"[AngloGold Ashanti has] a very hungry mill that will welcome additional ore feed from satellite deposits, and we're right in the range," said Pawlitschek.

In other news, Sanu announced separately that it added a new prospective gold target, Salat East, at its Daina claim block in the southeastern corner. There, artisanal miners started extracting mineralized material along a 500m-long, northeast-trending line of workings from a 5–8m wide structure dipping to the west. Daina already has an impressive pipeline of large footprint targets that will see drilling once the rig finishes at Diguifara.

"Salat East represents a new target with possible significant gold ounce potential," Pawlitschek said in the release.

Sanu intends to evaluate this target, with rock chip sampling, geological mapping and geophysics, prior to deciding whether or not to drill it.

Working to Discover Deposits

At Diguifara, Daina and Bantabaye, Sanu Gold is looking to discover multimillion-ounce gold deposits. The trio, in the Siguiri Basin, is surrounded by world-class operating mines and major new discoveries. Société Minière de Dinguiraye SA's Lefa, Hummingbird Resources Plc's (HUM:AIM) Kouroussa and Robex Resources Inc.'s (RBX:TSX.V) Kiniero and Predictive Discovery (PDI:ASX) with its 5.4million ounce Bankan project are some.

"We believe there is definitely that big potential on all three blocks," Pawlitschek told Streetwise.

Guinea and West Africa are pro-mining and looking to expand the industry, noted Sanu's CEO. Since the mid-1990s gold has been mined in Guinea. Last year, gold output there was 10% higher than in 2022, making Guinea the world's 23rd largest producer of the metal, according to GlobalData.

With contributions from operations in Guinea, and Ghana, Burkina Faso and Mali, West Africa has become a key gold mining region, reports the data analytics firm. It forecasts total gold production in West Africa this year will be 11,830,000 ounces.

Gold Continues Historic Climb

The gold price broke through the US$2,800 per ounce (US$2,800/oz) Wednesday, marking its fourth consecutive monthly gain, Reuters reported on Oct. 31. After, gold retreated, to end today at US$2756/oz.

"You're going to see a bit more consolidation," David Meger, director of metals trading at High Ridge Futures, told Reuters. "We have a lot of major impactful news next week, the U.S. election on Tuesday, Fed meeting on Wednesday. So it's really not surprising to see some traders take profits."

As for gold equities, the S&P/TSX Venture Composite Index (SPCDNX) confirmed a multidecade bull run for junior, intermediate, and senior mining stocks when it closed above 1,000 recently, Stewart Thomson with 321Gold wrote. The index is a key indicator of the health of the general gold, silver, and mining stocks market.

A reversal of outflows from gold exchange-traded funds occurred during Q3/24, and inflows during the quarter amounted to 95 tons, as reported by the World Gold Council, reported Ron Struthers of Struthers Resource Stock Report on Oct. 30. Positive inflows during the quarter came from all geographical regions, for holdings of 3,200 tons.

"All regions saw positive inflows during the quarter, which ended with collective holdings of 3,200 tons," the newsletter writer added. "Next year, we should be back to levels of 2020 and 2021. This will be fuel for a continued bull market."

Experts predict the gold price will continue its historic climb. Recently polled London Bullion Market Association members indicated they believe the gold price could reach US$2,940/oz during 2025, reported Stockhead.

Also, for 2025, InvestingHaven predicts US$3,100/oz gold. This is based on leading gold price indicators, including heightened inflation and increasing central bank demand, and from patterns on long-term gold charts, it noted.

The Catalysts: Drill Results

With drilling underway at Diguifara, results from the program could catalyze Sanu's stock, said Pawlitschek. They will be released when ready in about six to eight weeks.

Meanwhile, the gold company will tackle preparations for drilling untested targets at Daina, which will start soon. The scope of the campaign planned for Daina matches that is being carried out at Diguifara. [OWNERSHIP_CHART-10892]

"We have multiple targets that are going for 3, 4, up to 9 km strike lengths, some of them," the CEO said, referring to Diguifara and Daina.

When the initial phase at Daina is complete and results from Diguifara are back, we will likely go back to Difuifara for follow up drilling.

Ownership and Share Structure

According to the company's latest presentation, the largest share holders include strategic investors Anglo Gold Ashanti at 14 % and Capital at 10%.

Institutional investors include Scotia Global Asset Management, US Global Investors, Lowell Resources Funds Management, and Palos Management, which collectively make up 17% of the shareholders.

Management, founders and insider own around 22% with another 22% being held by high net worth individuals. 15% is held by retail investors.

The market cap for Sanu Gold is CA$17-18million with 238.5 million common shares. The 52-week range for the stock is CA$0.03 and CA$0.15.

Sign up for our FREE newsletter at: www.streetwisereports.com/get-news

Important Disclosures:

1. Sanu Gold Corp. is a billboard sponsor of Streetwise Reports and pays SWR a monthly sponsorship fee between US$4,000 and US$5,000.
2. As of the date of this article, officers and/or employees of Streetwise Reports LLC (including members of their household) own securities of Sanu Gold Corp.
3. Doresa Banning wrote this article for Streetwise Reports LLC and provides services to Streetwise Reports as an independent contractor.
4. This article does not constitute investment advice and is not a solicitation for any investment. Streetwise Reports does not render general or specific investment advice and the information on Streetwise Reports should not be considered a recommendation to buy or sell any security. Each reader is encouraged to consult with his or her personal financial adviser and perform their own comprehensive investment research. By opening this page, each reader accepts and agrees to Streetwise Reports' terms of use and full legal disclaimer. Streetwise Reports does not endorse or recommend the business, products, services or securities of any company.

For additional disclosures, please click here.

( Companies Mentioned: SANU:CSE;SNGCF:OTCQB;L73:FRA, )

Source: Rob Goff 11/11/2024

Volatus Aerospace Inc. (TSXV:FLT; OTCQX:TAKOF:ABBA.F) secured CA$2.8 million (CA$2.8M) through a private placement after having recently completed a financing package for CA$15M, reported Ventum Capital Markets analyst Rob Goff in a Nov. 6 research note. Volatus provides aerial intelligence solutions using drones and other aircraft systems, including inspections, surveillance, design, and sales.

"We believe the two financing rounds should be positively rewarded by investors for the financial flexibility they bring to Volatus, while the commitment of the two debt partners represents a strong validation," Goff wrote.

192% Return Implied

Goff reiterated Ventum's target price on the Canadian aircraft solutions provider of CA$0.38 per share. In comparison, it was trading at the time of the report at CA$0.13 per share. From this price, the return to target is 192%.

Volatus is a Buy.

Plans for Using the Funds

Goff discussed the private placement and Volatus' intended uses of it. For the offering, a total of 19,766,000 units was sold at CA$0.14 apiece. Each unit consists of one common Volatus voting share and one common Volatus voting share purchase warrant. With each warrant, the holder may purchase one Volatus common share for CA$0.20 per warrant share during the 24 months after the close of the raise.

"We believe the equity and debt financing will allow Volatus to invest in working capital to support higher equipment sales," an advantage its smaller peers do not have, Goff wrote.

The company expects to fund about CA$9–12M in unmet equipment sales demand, so Goff forecasts it will designate CA$3–4M to this purpose, to purchase working capital. Other uses of the proceeds are for research and development, capital expenditures and inventory.

Goff reported that Volatus wants to leverage every incremental CA$1M of invested working capital into about CA$3–4M of incremental equipment sales annually, aiming for gross profit margins of about 25% and modest incremental operating costs.

Volatus plans to use proceeds from the debt raise to back pay the outstanding CA$6M senior loan it has with a major Canadian bank. The company also intends to open a new secured line of credit to support anticipated growth. Current debt related to its fleet financing is about CA$5M.

Opportunities for Growth

With more balance sheet flexibility, Goff wrote, Volatus may pursue longer-term contracts with utilities and pipelines for inspection services using unmanned and manned fleets. This would position the company to become a leader in this specific market.

Volatus can monetize its portfolio of drones and landing stations. The U.S.' initiatives and intention to reduce use of Chinese-manufactured products could help drive this expansion. The company has third-party manufacturing capabilities to significantly boost its equipment sales.

"We anticipate that Volatus will leverage its unique software, network, and equipment capabilities, stewarded by an experienced and commercially focused leadership team," Goff wrote.

Future Financial Expectations

Goff discussed forecasts for merger synergies, EBITDA, and revenue. As for initial efficiencies achieved from Volatus' merger with Drone Delivery Canada, they should be seen in Volatus' Q4/24 and Q1/25 financial results, Goff wrote. Already, the company has exceeded CA$2.6M in cost synergies and expects to surpass CA$3M in the near term. By 2026, the company estimates revenue synergies will be about CA$5M-plus and will include initial traction gained from business-to-business cargo delivery.

Looking to 2025, Ventum expects Volatus to turn EBITDA break even in Q2/25 and produce CA$5.7M in positive EBITDA in 2025 versus Volatus' estimate of CA$10M-plus, Goff reported. Ventum estimates that Volatus will generate CA$60.3M in revenue in full-year 2025, less than Volatus' guidance of CA$70M+.

"We anticipate that Volatus will leverage its unique software, network, and equipment capabilities, stewarded by an experienced and commercially focused leadership team," wrote Goff.

Sign up for our FREE newsletter at: www.streetwisereports.com/get-news

Important Disclosures:

1. Doresa Banning wrote this article for Streetwise Reports LLC and provides services to Streetwise Reports as an independent contractor.
2. This article does not constitute investment advice and is not a solicitation for any investment. Streetwise Reports does not render general or specific investment advice and the information on Streetwise Reports should not be considered a recommendation to buy or sell any security. Each reader is encouraged to consult with his or her personal financial adviser and perform their own comprehensive investment research. By opening this page, each reader accepts and agrees to Streetwise Reports' terms of use and full legal disclaimer. Streetwise Reports does not endorse or recommend the business, products, services or securities of any company.

For additional disclosures, please click here.

Disclosures for Ventum Capital Markets, Volatus Aerospace Inc., November 6, 2024

Analyst Certification I, Rob Goff, hereby certify that all of the views expressed in this report accurately reflect my personal views about the subject securities or issuers. I also certify that no part of my compensation was, is, or will be, directly or indirectly related to the specific recommendations or views expressed in this report. I am the research analyst primarily responsible for preparing this report.

Research Disclosures

1. Ventum Financial Corp. and its affiliates’ holdings in the subject company’s securities, in aggregate exceeds 1% of each company’s issued and outstanding securities.
2. Ventum Financial Corp. and/or its affiliates have received compensation for investment banking services for the subject company over the preceding 12- month period.
3. Ventum Financial Corp. and/or its affiliates expect to receive or intend to seek compensation for investment banking services from the subject company.
4. Ventum Financial Corp. and/or its affiliates have managed or co-managed a public offering of securities for the subject company in the past 12 months.

General Disclosure The affiliates of Ventum Financial Corp. are Ventum Financial (US) Corp., Ventum Financial Services Corp., and Ventum Capital Corp. Analysts are compensated through a combined base salary and bonus payout system. The bonus payout is amongst other factors determined by revenue generated directly or indirectly from various departments including Investment Banking. Evaluation is largely on an activity-based system that includes some of the following criteria: reports generated, timeliness, performance of recommendations, knowledge of industry, quality of research and investment guidance, and client feedback. Analysts and all other Research staff are not directly compensated for specific Investment Banking transactions. None of the material, nor its content, nor any copy of it, may be altered in any way, transmitted to, copied or distributed to any other party, without the prior express written permission of Ventum Financial Corp. Ventum Financial Corp.’s policies and procedures regarding dissemination of research, stock rating and target price changes can be reviewed on our corporate website at www.ventumfinancial.com (Research: Research and Conflict Disclosure).

Participants of all Canadian Marketplaces. Members: Canadian Investment Regulatory Organization, Canadian Investor Protection Fund and AdvantageBC International Business Centre - Vancouver. Estimates and projections contained herein are our own and are based on assumptions which we believe to be reasonable. Information presented herein, while obtained from sources we believe to be reliable, is not guaranteed either as to accuracy or completeness, nor in providing it does Ventum Financial Corp. assume any responsibility or liability. This information is given as of the date appearing on this report, and Ventum Financial Corp. assumes no obligation to update the information or advise on further developments relating to securities. Ventum Financial Corp. and its aೀiliates, as well as their respective partners, directors, shareholders, and employees may have a position in the securities mentioned herein and may make purchases and/or sales from time to time. Ventum Financial Corp. may act, or may have acted in the past, as a ೃnancial advisor, ೃscal agent or underwriter for certain of the companies mentioned herein and may receive, or may have received, a remuneration for their services from those companies. This report is not to be construed as an oೀer to sell, or the solicitation of an oೀer to buy, securities and is intended for distribution only in those jurisdictions where Ventum Financial Corp. is registered as an advisor or a dealer in securities. Any distribution or dissemination of this report in any other jurisdiction is strictly prohibited. Ventum Financial Corp. is a Canadian broker-dealer and is not subject to the standards or requirements of MiFID II. Readers of Ventum Financial Corp. research in the applicable jurisdictions should make their own eೀorts to ensure MiFID II compliance. For further disclosure information, reader is referred to the disclosure section of our website

( Companies Mentioned: TSXV:FLT;OTCQX:TAKOF:ABBA.F), )

"Red Band Society," premieres on Fox September 17th, starring Octavia Spencer, Charlie Rowe and Nolan Sotillo.; Credit: Fox Television Studios

The Los Angeles County Metropolitan Transportation Authority is pulling ads for the Fox television show "Red Band Society" from nearly 200 buses amid complaints they are racist and offensive to women.

The ads show the ensemble cast's members in front of a wall with graffiti describing their characters.

A denigrating word for a woman is used to describe the show's star, Octavia Spencer's character.

The Los Angeles Times reports transit officials began pulling the ads on Wednesday. They had been up for five weeks.

The Red Band Society also shared the ad on its Facebook page in August. 

Facebook: #RedBandSociety ad

But it's since edited it to look like this.

Photo: New ad via Facebook

Protesters who attended Thursday's transit agency board meeting complained the depiction of Spencer's character is racist and offensive to women.

The actress, who plays a nurse in the hospital drama, is black.

She won a supporting actress Oscar for her role in "The Help."

We enumerate the 55083357 iso-edge subdivisions of six-dimensional translational lattices. We report on the use of the method of canonical forms that allows us to apply hashing techniques used in modern databases.

Source: Streetwise Reports 10/22/2024

The growth of artificial intelligence, the need for more computer data centers, the eventual adoption of electric vehicles (EVs), and the need for more net-zero power means a renaissance in nuclear power is underway.

Just last month, Microsoft Corp. (MSFT:NASDAQ) announced a deal with Constellation Energy Group (CEG:NYSE) to restart and buy all of the power from one of the shut-down reactors at its infamous Three Mile Island plant in Pennsylvania and the Biden administration also announced a plan to restart the Palisades plant in Michigan.

"Biden has called for a tripling of U.S. nuclear power capacity to fuel energy demand that is accelerating in part due to expansion of power-hungry technologies like artificial intelligence and cloud computing," Valerie Volcovici wrote for Reuters on Oct. 8.

The administration also wants to develop small nuclear reactors (SMRs) for certain applications.

All of this is putting the metal needed to power nuclear energy, uranium, front and center. Prices for the element have started rising, with nuclear fuel trading at US$83.30 per pound last Thursday, a level not seen since 2007, according to a report by Daily Finland on Friday.

Uranium prices are expected to move higher by the end of this quarter, when Trading Economics' global macro models and analyses forecast uranium to trade at US$84.15 per pound, Nuclear Newswire reported on Oct. 3. In another year, the site estimates that the metal will trade at US$91.80 per pound.

The Catalyst: Surging Demand

The engine driving the prices is a "fundamental global shortage" of uranium driven by surging demand, said Andre Leibenberg, chief executive officer of Yellow Cake, which is focused on providing exposure to uranium's spot price.

The demand is stemming not only from a growing recognition of nuclear power's role in the future energy mix, but also from its critical importance in supporting the AI boom and the development of data centers, he wrote in a company update last week, according to Mining Weekly.

According to the report, Liebenberg noted that the primary mine supply of 140 million pounds was significantly trailing behind global demand of more than 180 million pounds a year.

In the European Union, a "lack of clarity" about Russian uranium imports is holding back investment in new enrichment plants, according to Reuters.

Russia supplied more than 25% of European and American enriched uranium before the start of the Ukraine war in February 2022, the report said.

Since then, "the U.S. implemented a ban on imports of enriched uranium from Russia in August, with some exemptions, but in Europe, different countries have taken different approaches," muddying the waters.

Complicating matters is a hint in September that Russian President Vladimir Putin might embargo exports of the vital element to the west.

Citi, in a note to clients, said utilities have been stockpiling Russian uranium, but an embargo would make it "hard to replace" supplies of the metal in the next two years.

"Russia supplies close to 12% of U3O8 (known as yellow cake), 25% of UF6 (uranium hexafluoride) and 35% of EUP (enriched uranium product) to international markets," the bank said, according to Forbes. "While the largest share of these supplies goes to China and in supplying nuclear reactors that were built by Russia's Rosatom, we believe that at-risk supplies are exports to the U.S. or Western Europe."

The consequences of what could happen without more nuclear power can be seen in the U.K., where the number of reactors is shrinking. Four of five of them are expected to close in the next couple of years, which could "stretch the grid to the limit."

"As Britain's reactor fleet shrivels, the amount of nuclear capacity will fall from six gigawatts (GW) today to just 1.2 GW by 2028 or soon after," Jonathan Leake and Matt Oliver wrote for The Telegraph last week. "Along with rising demand from power-hungry data centers and technologies of the future, it will make it even harder to keep the lights on when wind and solar generation is low."

Small Nuclear Reactors (SMRs)

SMRs are another possible solution for some medium-sized energy needs. They have been operational for dozens of years in submarines and other long-distance ocean-going craft.

"They can be manufactured in factories and then rapidly erected on-site," Dominic Frisby wrote for his newsletter, The Flying Frisby, on Oct. 13. They are scalable, and that flexibility "aids manufacture, transportation, and installation while reducing construction time and costs."

A 440-megawatt (MW) SMR would produce about 3.5 terawatt hours (TWh) of electricity per year, enough for 1.2 million homes, Frisby noted.

SMRs produce electricity that can easily be adjusted to meet the constant, everyday needs of the grid (baseload), and they can also ramp up or down to follow changes in demand throughout the day, the author wrote. They spin in sync with the grid, so they help keep everything stable.

"When they're running, they act like a steady hand, providing momentum that makes it easier to manage sudden changes in electricity supply or demand," he wrote.

'Bucket Loads of Power' Needed

All of this equates for a bright future for the metal, he said.

"Guess what? AI requires bucket loads of power," Frisby wrote. "That's why Microsoft recently agreed to pay Constellation Energy, the new owner of America's infamous nuclear power station, Three Mile Island, a sizeable premium for its energy. There is cheaper wind and solar power to be had in Pennsylvania, but it isn't as reliable as nuclear 24 hours a day. It's not just AI. The widespread political desire to rid ourselves of fossil fuels means the world needs electricity, and fast."

Chris Temple, publisher of The National Investor, recently noted that with the Three Mile Island deal, "uranium/nuclear power is BACK!"

"I've watched as the news has continued to point to uranium being in the early innings of this new bull market," Temple wrote. "Yet the markets have been yawning . . . until now."

What follows are several uranium explorers and producers that could benefit from this upswing for investors looking to take advantage.

Baselode Energy Corp.

Baselode Energy Corp. (FIND:TSX.V; BSENF:OTCQB) controls 100% of about 273,000 hectares for exploration in the Athabasca Basin area in northern Saskatchewan, Canada.[OWNERSHIP_CHART-10321]

The company said it discovered the ACKIO near-surface, high-grade uranium deposit in September 2021. ACKIO measures greater than 375 meters along strike, greater than 150 meters wide, and is comprised of at least 11 separate zones. Mineralization starts as shallow as 28 meters beneath the surface and continues down to about 300 meters depth beneath the surface, with the bulk of mineralization occurring in the upper 120 meters, Baselode said. ACKIO remains open to the west and south and along the Athabasca sandstone unconformity to the east and south.

Earlier this month, the company reported positive uranium assay results from three drill holes of its 2024 drill program at ACKIO.

Notably, drill hole AK24-119 intersected 0.28% U3O8 over 21.0 meters, including a high-grade section of 1.55% U3O8 over 1.5 meters at a depth of 141 meters. While drill hole AK24-118 returned 0.59% U3O8 over 8.5 meters, including 1.25% U3O8 over 1.5 meters at a depth of 153 meters.

"These results strengthen our confidence in ACKIO," Chief Executive Officer James Sykes said in a release. "It's remarkable that, just over three years after discovering ACKIO, we're still achieving better-than-expected grades and widths."

Baselode expects further assay results from the remaining 40 drill holes to be released after quality review and approval.

David Talbot, Managing Director at Red Cloud Securities, noted in a September 17 report that drilling at ACKIO "continued to expand the mineralized footprint at Pods 1, 6, and 7," highlighting that "thirteen holes reported composite intervals of anomalous radioactivity between 11m and 42m in thickness."

In his report, Talbot rated the stock as a Buy and further projected the potential for "8-10-12 million pounds of U3O8 at a grade of ~0.3% U3O8," which aligns with typical grades found in the southeastern part of the Athabasca Basin.

According to Refinitiv, Baselode has institutions holding 23.26% with Alps Advisors holding the bulk of it with 17.94%, followed by Vident Investment Advisory LLC at 2.97%. Management and Insiders hold 1.59%. The rest is retail.

The company has a market cap of CA$20.05 million, with 131.51 free float shares. It trades in the 52-week range between CA$0.10 and CA$0.61.

Uranium Energy Corp.

According to its website, Uranium Energy Corp. (UEC:NYSE AMERICAN) is America's "largest and fastest growing supplier of uranium."[OWNERSHIP_CHART-402]

The company said it is advancing the next generation of low-cost, environmentally friendly in-situ recovery (ISR) mining uranium projects in the United States and high-grade conventional projects in Canada. It has two production-ready ISR hub and spoke platforms in South Texas and Wyoming.

Additionally, Uranium Energy Corp. said it has diversified uranium holdings with one of the largest physical uranium portfolios of U.S. warehoused U3O8; a major equity stake in Uranium Royalty Corp., the only royalty company in the sector; and a Western Hemisphere pipeline of resource stage uranium projects.

Most recently, the company announced it was expanding its U.S. uranium production capacity by acquiring Rio Tinto Plc.'s Sweetwater Plant and a portfolio of Wyoming uranium assets.

On September 25, Temple of The National Investor noted that UEC was "upgraded back to Buy" following recent uranium market news. He pointed to UEC's acquisition of the Wyoming uranium assets as a catalyst, emphasizing that uranium is "in the early innings of this new bull market."

Jeff Clark of The Gold Advisor, in his September 26 update, called the acquisition a "significant move," noting that it consolidated a large portfolio of uranium assets under UEC's control, positioning the company for rapid growth. He also highlighted the company's strategic advantage with "53,000 additional acres for exploration," reinforcing UEC's potential to ramp up production.

According to Reuters, Uranium Energy has a market cap of US$3.48 billion and 411.41 million shares outstanding. It trades in a 52-week range of US$4.06 and US$8.66.

About 2% of UE is help by management and insiders, Reuters noted. The largest portion, 77.58%, is held by institutional investors. The rest is in retail.

Terra Clean Energy Corp.

Formerly Tisdale Clean Energy Corp., Terra Clean Energy Corp. (TCEC:CSE; TCEFF:OTC; T1KC:FSE), a Canadian-based uranium exploration and development company, is currently developing the South Falcon East uranium project, which holds a 6.96-million-pound inferred uranium resource within the Fraser Lakes Zone B uranium/thorium deposit, located in the Athabasca Basin region of Saskatchewan.[OWNERSHIP_CHART-10935]

Representing a portion of Skyharbour Resources Ltd.'s existing South Falcon Project, Terra Clean Energy's project covers approximately 12,464 hectares and lies 18 kilometers outside the Athabasca Basin, approximately 50 kilometers east of the Key Lake Mine.

Recently, the company announced a comprehensive exploration program set for Winter 2025 at its South Falcon East Uranium Project. The work will focus on extending the mineralized footprint at the Fraser Lakes B Uranium Deposit and includes about 2,000 meters of infill and step-out drilling designed to verify existing mineralized zones and identify additional targets.

In a release, Chief Executive Officer Alex Klenman described the initiative as "a unique setup for a Canadian microcap, offering multiple paths to significant value creation." This US$1.5 million project will involve TerraLogic Exploration Inc., operating out of SkyHarbour's McGowan Lake Camp with helicopter support.

According to Reuters, management and insiders hold 4.62% of Terra Clean Energy. Of those, Alex Klenman holds the most, with 4.37%.

Strategic Investors hold 12.03%, with Planet Ventures Inc holding the most at 7.40%. The rest is retail.

Terra Clean Energy has a market cap of CA$2.98 million and a 52-week range of CA$0.05 to CA$0.22.

North Shore Uranium Ltd.

North Shore Uranium Ltd. (NSU:TSX) said it is working to become a major force in exploration for economic uranium deposits at the eastern margin of the Athabasca Basin.[OWNERSHIP_CHART-10945]

The company said it is running exploration programs at its Falcon and West Bear properties and evaluating opportunities to complement its portfolio of uranium properties.

Falcon consists of 15 mineral claims, the company said. Four of them comprise 12,791 hectares and are 100%-owned by the company. The remaining 11 claims totaling 2,908 hectares are subject to an option agreement with Skyharbour Resources Ltd. Under the terms of the option agreement, North Shore has the option to earn up to 100% interest in the 11 claims by completing certain payments.

Earlier this month, the company announced details of its target generation efforts at its Falcon uranium project at the eastern margin of Saskatchewan's Athabasca Basin. The company said it has identified 36 uranium targets across three zones.

"We have a great pipeline of targets to choose from for our next drill program at Falcon," said President and Chief Executive Officer Brooke Clements. "Our Zone 2 has attracted the interest of uranium explorers in the past, and we believe there is potential to make a significant uranium discovery using new data and interpretation."

Earlier this month, North Shore announced it had received a Crown Land Work permit for the full 55,700-hectare Falcon project. Issued by the Saskatchewan Ministry of Environment, it authorizes the company to conduct mineral exploration activities, including prospecting and ground geophysics, trail and drill site clearing, line cutting, the drilling of up to 75 exploration drill holes, and the storage of drill core. The permit expires in July 2027.

Insiders and founding investors own approximately 45% of the issued and outstanding shares. Clements himself owns 3.6% or 1.33M shares, Director Doris Meyer has 2.11% or 0.78M shares, and Director James Arthur holds 1.58% or 0.58M shares. According to North Shore, 14.92M shares (40.5%) held by six founding investors are subject to a voluntary pooling agreement that restricts the disposition of these shares before October 19, 2026.

Most of the rest is with retail, as the institutional holdings are minor.

North Shore has 36.84M outstanding shares and currently has a market cap of CA$1.47 million. It has traded in the past 52 weeks between CA$0.04 and CA$0.30 per share.

Skyharbour Resources Ltd.

Skyharbour Resources Ltd. (SYH:TSX.V; SYHBF:OTCQX; SC1P:FSE) has an extensive portfolio of uranium exploration projects in Canada's Athabasca Basin, with 29 projects, 10 of which are drill-ready, covering over 1.4 million acres of mineral claims. In addition to being a high-grade uranium exploration company, Skyharbour utilizes a prospect generator strategy by bringing in partner companies to advance its secondary assets.[OWNERSHIP_CHART-6026]

In an updated research note on July 24, Analyst Sid Rajeev of Fundamental Research Corp. wrote that Skyharbour "owns one of the largest portfolios among uranium juniors in the Athabasca Basin."

"Given the highly vulnerable uranium supply chain, we anticipate continued consolidation within the sector," wrote Rajeev, who reiterated the firm's Buy rating and adjusted its fair value estimate from CA$1.16 to CA$1.21 per share. "Additionally, the rapidly growing demand for energy from the AI industry is likely to accelerate the adoption of nuclear power, which should, in turn, spotlight uranium juniors in the coming months."

Skyharbour acquired from Denison Mines, a large strategic shareholder of the company, a 100% interest in the Moore Uranium Project, which is located 15 kilometers east of Denison's Wheeler River project and 39 kilometers south of Cameco's McArthur River uranium mine. Moore is an advanced-stage uranium exploration property with high-grade uranium mineralization at the Maverick Zone, including highlight drill results of 6.0% U3O8 over 5.9 meters, including 20.8% U3O8 over 1.5 meters at a vertical depth of 265 meters.

Adjacent to the Moore Uranium Project is Skyharbour's Russell Lake Uranium Project optioned from Rio Tinto, which hosts historical high-grade drill intercepts over a large property area with robust exploration upside potential. The 73,294-ha Russell Lake Uranium Property is strategically located in the central core of the Eastern Athabasca Basin of northern Saskatchewan. Skyharbour has recently discovered high-grade uranium mineralization in a new zone at Russell and is carrying out an additional 7-8,000-meter drill campaign across both Russell and Moore.

Management, insiders, and close business associates own approximately 5% of Skyharbour.

According to Reuters, President and CEO Trimble owns 1.6%, and Director David Cates owns 0.70%.

Institutional, corporate, and strategic investors own approximately 55% of the company. Denison Mines owns 6.3%, Rio Tinto owns 2.0%, Extract Advisors LLC owns 9%, Alps Advisors Inc. owns 9.91%, Mirae Asset Global Investments (U.S.A) L.L.C. owns 6.29%, Sprott Asset Management L.P. owns 1.5%, and Incrementum AG owns 1.18%, Reuters reported.

There are 182.53 million shares outstanding with 178 million free float traded shares, while the company has a market cap of CA$89.44 million and trades in a 52-week range of CA$0.31 and CA$0.64.

ATHA Energy Corp.

Atha Energy Corp. (SASK:TSX.V; SASKF:OTCMKTS) is a Canadian mineral company engaged in the acquisition, exploration, and development of uranium assets with a portfolio including three 100%-owned post-discovery uranium projects (the Angilak Project located in Nunavut, and CMB Discoveries in Labrador hosting historical resource estimates of 43.3 million pounds and 14.5 million pounds U3O8 respectively, and the newly discovered basement-hosted GMZ high-grade uranium discovery located in the Athabasca Basin).[OWNERSHIP_CHART-11007]

In addition, the company said it holds the largest cumulative prospective exploration land package (more than 8.5 million acres) in two of the world's most prominent basins for uranium discoveries. ATHA also holds a 10% carried interest in key Athabasca Basin exploration projects operated by NexGen Energy Ltd. and IsoEnergy Ltd.

Technical Analyst Maund considers Atha Energy to be "THE top play in the uranium sector" and has an Immediate Strong Buy rating on it, he wrote in the previously mentioned Oct. 17 report.

The company's 3-, 13- and 26-month charts indicate its stock price had been in a bear market since trading began until September, when it had an upwave or preliminary breakout. This, along with other indicators, including positive accumulation-distribution convergence and high volume, suggest another upleg is expected soon, he said.

"Given the outlook for the uranium price and what Atha Energy has going for it, its stock is astoundingly cheap after its persistent downtrend this year," Maund wrote.

According to Refinitiv, 10 management and insiders own 16.44% of Atha Energy. The Top 5 are Timothy Young with 6.32%, Matthew Mason with 5.8%, Atha Chairman Michael Castanho with 1.16%, and Atha Director Sean Kallir with 0.9%.

Seven institutional investors together hold 9.38%. The Top 3 are Alps Advisors Inc. with 6.26%, Sprott Asset Management LP with 1.3%, and Vident Investment Advisory LLC with 0.8%.

The remaining 74.18% of Atha is in retail.

According to the company, it has 277.9M shares outstanding, 14M options, 4M restricted stock units/performance rights, and 10.2M warrants.

Reuters reports Atha's market cap is CA$208.42 million, and its 52-week range is CA$0.46−$1.42 per share.

Sign up for our FREE newsletter at: www.streetwisereports.com/get-news

Important Disclosures:

1. Skyharbour Resources Ltd. and Terra Clean Energy Corp. are billboard sponsors of Streetwise Reports and pay SWR a monthly sponsorship fee between US$4,000 and US$5,000. In addition, Terra Clean Energy has a consulting relationship with Street Smart an affiliate of Streetwise Reports. Street Smart Clients pay a monthly consulting fee between US$8,000 and US$20,000.
2. As of the date of this article, officers and/or employees of Streetwise Reports LLC (including members of their household) own securities of North Shore Uranium Ltd., Uranium Energy Corp., and Terra Clean Energy.
3. Steve Sobek wrote this article for Streetwise Reports LLC and provides services to Streetwise Reports as an employee.
4. This article does not constitute investment advice and is not a solicitation for any investment. Streetwise Reports does not render general or specific investment advice and the information on Streetwise Reports should not be considered a recommendation to buy or sell any security. Each reader is encouraged to consult with his or her personal financial adviser and perform their own comprehensive investment research. By opening this page, each reader accepts and agrees to Streetwise Reports' terms of use and full legal disclaimer. Streetwise Reports does not endorse or recommend the business, products, services or securities of any company.

For additional disclosures, please click here.

( Companies Mentioned: SASK:TSX.V; SASKF:OTCMKTS, FIND:TSX.V; BSENF:OTCQB, NSU:TSX, SYH:TSX.V; SYHBF:OTCQX; SC1P:FSE, TCEC:CSE; TCEFF:OTC; T1KC:FSE, UEC:NYSE AMERICAN, )

Source: Leo Mariani 11/01/2024

Roth MKM analyst Leo Mariani, in a research report published on November 1, 2024, maintained a Buy rating on Matador Resources Co. (MTDR:NYSE) with a price target of US$68.00. The report follows the announcement that MTDR's EVP of Production Glenn Stetson purchased company shares in the open market.

Mariani highlighted the insider purchase, stating, "MTDR reported that EVP of Production Glenn Stetson bought 1,000 MTDR shares in the open market on October 30 for total proceeds of US$51,330 at an average price of US$51.33, which was 1.5% below yesterday's closing price of US$52.11."

The analyst explained his positive view on the company, noting, "We rate Matador Resources Co. (MTDR) a Buy based on the company's best-in-class production growth, strong inventory of wells, growing base dividend, and reasonable balance sheet."

Regarding Matador's operations, Mariani noted that the company has "192,000 net Permian acres, and most of its position is in the heart of the Delaware Basin. Its production mix is roughly 59% oil and 41% natural gas/NGLs." He also highlighted the company's midstream presence through its "51% ownership in San Mateo Midstream, which owns oil, gas, and water-gathering assets that are tied into MTDR's producing assets."

Roth MKM's valuation methodology is based on a multiple of Debt-Adjusted Cash Flow (DACF). Mariani explained, "Our US$68 price target for MTDR is based on a 4.2x multiple of our 2025 DACF estimate, which is based on US$70 WTI oil and US$3.10 HH gas."

The analyst also outlined several risk factors, including "slightly higher leverage than peers, completely unhedged in 2024; and acquisition risk given the company's propensity to do bolt-on M&A."

In conclusion, Roth MKM's maintenance of a Buy rating and US$68 price target reflects confidence in Matador Resources' operational excellence and growth potential in the Permian Basin. The share price at the time of the report of US$52.11 represents a potential return of approximately 30.5% to the analyst's target price, suggesting significant upside potential as the company continues to execute its development strategy.

Sign up for our FREE newsletter at: www.streetwisereports.com/get-news

Important Disclosures:

1. This article does not constitute investment advice and is not a solicitation for any investment. Streetwise Reports does not render general or specific investment advice and the information on Streetwise Reports should not be considered a recommendation to buy or sell any security. Each reader is encouraged to consult with his or her personal financial adviser and perform their own comprehensive investment research. By opening this page, each reader accepts and agrees to Streetwise Reports' terms of use and full legal disclaimer. Streetwise Reports does not endorse or recommend the business, products, services or securities of any company.

For additional disclosures, please click here.

Disclosures for Roth MKM, Matador Resources Co., November 1, 2024

Regulation Analyst Certification ("Reg AC"): The research analyst primarily responsible for the content of this report certifies the following under Reg AC: I hereby certify that all views expressed in this report accurately reflect my personal views about the subject company or companies and its or their securities. I also certify that no part of my compensation was, is or will be, directly or indirectly, related to the specific recommendations or views expressed in this report.

Disclosures: The price target and rating history for Matador Resources Co. prior to February 1, 2023 reflect MKM’s published opinion prior to the acquisition of MKM Partners, LLC by Roth Capital Partners, LLC. Within the last twelve months, ROTH Capital Partners, or an affiliate to ROTH Capital Partners, has received compensation for investment banking services from Matador Resources Co.. Within the last twelve months, ROTH Capital Partners, or an affiliate to ROTH Capital Partners, has managed or co-managed a public offering for Matador Resources Co.

Not Covered [NC]: ROTH Capital does not publish research or have an opinion about this security. ROTH Capital Partners, LLC expects to receive or intends to seek compensation for investment banking or other business relationships with the covered companies mentioned in this report in the next three months. The material, information and facts discussed in this report other than the information regarding ROTH Capital Partners, LLC and its affiliates, are from sources believed to be reliable, but are in no way guaranteed to be complete or accurate. This report should not be used as a complete analysis of the company, industry or security discussed in the report. Additional information is available upon request. This is not, however, an offer or solicitation of the securities discussed. Any opinions or estimates in this report are subject to change without notice. An investment in the stock may involve risks and uncertainties that could cause actual results to differ materially from the forward-looking statements. Additionally, an investment in the stock may involve a high degree of risk and may not be suitable for all investors. No part of this report may be reproduced in any form without the express written permission of ROTH. Copyright 2024. Member: FINRA/SIPC.

( Companies Mentioned: MTDR:NYSE, )