X-ray ptychography is a coherent diffraction imaging technique based on acquiring multiple diffraction patterns obtained through the illumination of the sample at different partially overlapping probe positions. The diffraction patterns collected are used to retrieve the complex transmittivity function of the sample and the probe using a phase retrieval algorithm. Absorption or phase contrast images of the sample as well as the real and imaginary parts of the probe function can be obtained. Furthermore, X-ray ptychography can also provide spectral information of the sample from absorption or phase shift images by capturing multiple ptychographic projections at varying energies around the resonant energy of the element of interest. However, post-processing of the images is required to extract the spectra. To facilitate this, ProSPyX, a Python package that offers the analysis tools and a graphical user interface required to process spectral ptychography datasets, is presented. Using the PyQt5 Python open-source module for development and design, the software facilitates extraction of absorption and phase spectral information from spectral ptychographic datasets. It also saves the spectra in file formats compatible with other X-ray absorption spectroscopy data analysis software tools, streamlining integration into existing spectroscopic data analysis pipelines. To illustrate its capabilities, ProSPyX was applied to process the spectral ptychography dataset recently acquired on a nickel wire at the SWING beamline of the SOLEIL synchrotron.

A new experimental setup combining X-ray photon correlation spectroscopy (XPCS) in the hard X-ray regime and a high-pressure sample environment has been developed to monitor the pressure dependence of the internal motion of complex systems down to the atomic scale in the multi-gigapascal range, from room temperature to 600 K. The high flux of coherent high-energy X-rays at fourth-generation synchrotron sources solves the problems caused by the absorption of diamond anvil cells used to generate high pressure, enabling the measurement of the intermediate scattering function over six orders of magnitude in time, from 10−3 s to 103 s. The constraints posed by the high-pressure generation such as the preservation of X-ray coherence, as well as the sample, pressure and temperature stability, are discussed, and the feasibility of high-pressure XPCS is demonstrated through results obtained on metallic glasses.

With the development of synchrotron radiation sources and high-frame-rate detectors, the amount of experimental data collected at synchrotron radiation beamlines has increased exponentially. As a result, data processing for synchrotron radiation experiments has entered the era of big data. It is becoming increasingly important for beamlines to have the capability to process large-scale data in parallel to keep up with the rapid growth of data. Currently, there is no set of data processing solutions based on the big data technology framework for beamlines. Apache Hadoop is a widely used distributed system architecture for solving the problem of massive data storage and computation. This paper presents a set of distributed data processing schemes for beamlines with experimental data using Hadoop. The Hadoop Distributed File System is utilized as the distributed file storage system, and Hadoop YARN serves as the resource scheduler for the distributed computing cluster. A distributed data processing pipeline that can carry out massively parallel computation is designed and developed using Hadoop Spark. The entire data processing platform adopts a distributed microservice architecture, which makes the system easy to expand, reduces module coupling and improves reliability.

StreamSAXS is a Python-based small- and wide-angle X-ray scattering (SAXS/WAXS) data analysis workflow platform with graphical user interface (GUI). It aims to provide an interactive and user-friendly tool for analysis of both batch data files and real-time data streams. Users can easily create customizable workflows through the GUI to meet their specific needs. One characteristic of StreamSAXS is its plug-in framework, which enables developers to extend the built-in workflow tasks. Another feature is the support for both already acquired and real-time data sources, allowing StreamSAXS to function as an offline analysis platform or be integrated into large-scale acquisition systems for end-to-end data management. This paper presents the core design of StreamSAXS and provides user cases demonstrating its utilization for SAXS/WAXS data analysis in offline and online scenarios.

Full-field transmission X-ray microscopy has been recently implemented at the hard X-ray ROCK–SOLEIL quick-EXAFS beamline, adding micrometre spatial resolution to the second time resolution characterizing the beamline. Benefiting from a beam size versatility due to the beamline focusing optics, full-field hyperspectral XANES imaging has been successfully used at the Fe K-edge for monitoring the pressure-induced spin transition of a 150 µm × 150 µm Fe(o-phen)2(NCS)2 single crystal and the charge of millimetre-sized LiFePO4 battery electrodes. Hyperspectral imaging over 2000 eV has been reported for the simultaneous monitoring of Fe and Cu speciation changes during activation of a FeCu bimetallic catalyst along a millimetre-sized catalyst bed. Strategies of data acquisition and post-data analysis using Jupyter notebooks and multivariate data analysis are presented, and the gain obtained using full-field hyperspectral quick-EXAFS imaging for studies of functional materials under process conditions in comparison with macroscopic information obtained by non-spatially resolved quick-EXAFS techniques is discussed.

Under DAPHNE4NFDI, the X-ray absorption spectroscopy (XAS) reference database, RefXAS, has been set up. For this purpose, we developed a method to enable users to submit a raw dataset, with its associated metadata, via a dedicated website for inclusion in the database. Implementation of the database includes an upload of metadata to the scientific catalogue and an upload of files via object storage, with automated query capabilities through a web server and visualization of the data and files. Based on the mode of measurements, quality criteria have been formulated for the automated check of any uploaded data. In the present work, the significant metadata fields for reusability, as well as reproducibility of results (FAIR data principles), are discussed. Quality criteria for the data uploaded to the database have been formulated and assessed. Moreover, the usability and interoperability of available XAS data/file formats have been explored. The first version of the RefXAS database prototype is presented, which features a human verification procedure, currently being tested with a new user interface designed specifically for curators; a user-friendly landing page; a full list of datasets; advanced search capabilities; a streamlined upload process; and, finally, a server-side automatic authentication and (meta-) data storage via MongoDB, PostgreSQL and (data-) files via relevant APIs.

Chalcopyrite, the world's primary copper ore mineral, is abundant in Latin America. Copper extraction offers significant economic and social benefits due to its strategic importance across various industries. However, the hydro­metallurgical route, considered more environmentally friendly for processing low-grade chal­co­py­rite ores, remains challenging, as does its concentration by froth flotation. This limited understanding stems from the poorly understood structure and reactivity of chal­co­py­rite surfaces. This study reviews recent contributions using density functional theory (DFT) calculations with periodic boundary conditions and slab models to elucidate chal­co­py­rite surface properties. Our analysis reveals that reconstructed surfaces preferentially expose S atoms at the topmost layer. Furthermore, some studies report the formation of di­sulfide groups (S22−) on pristine sulfur-terminated surfaces, accom­panied by the reduction of Fe3+ to Fe2+, likely due to surface oxidation. Additionally, Fe sites are consistently identified as favourable adsorption locations for both oxygen (O2) and water (H2O) mol­ecules. Finally, the potential of com­puter modelling for investigating collector–chal­co­py­rite surface inter­actions in the context of selective froth flotation is discussed, highlighting the need for further research in this area.

It is well known that Hirshfeld surfaces provide an easy and straightforward way of analysing inter­molecular inter­actions in the crystal environment. The use of atomic Hirshfeld surfaces has also demonstrated that such surfaces carry information related to chemical bonds which allow a deeper evaluation of the structures. Here we briefly summarize the approach of atomic Hirshfeld surfaces while further evaluating the kind of information that can be retrieved from them. We show that the analysis of the metal-centre Hirshfeld surfaces from structures refined via Hirshfeld Atom Refinement (HAR) allow accurate evaluation of contacts of type M⋯H, and that such contacts can be related to the overall shape of the surfaces. The com­pounds analysed were tetra­aqua­bis­(3-carb­oxy­propionato)metal(II), [M(C4H3O4)2(H2O)4], for metal(II)/M = manganese/Mn, cobalt/Co, nickel/Ni and zinc/Zn. We also evaluate the sensitivity of the surfaces by an investigation of seemingly flat surfaces through analysis of the curvature functions in the direction of C—C bonds. The obtained values not only demonstrate variations in curvature but also show a correlation with the hybridization of the C atoms involved in the bond.

Electron cryo-microscopy image-processing workflows are typically composed of elements that may, broadly speaking, be categorized as high-throughput workloads which transition to high-performance workloads as preprocessed data are aggregated. The high-throughput elements are of particular importance in the context of live processing, where an optimal response is highly coupled to the temporal profile of the data collection. In other words, each movie should be processed as quickly as possible at the earliest opportunity. The high level of disconnected parallelization in the high-throughput problem directly allows a completely scalable solution across a distributed computer system, with the only technical obstacle being an efficient and reliable implementation. The cloud computing frameworks primarily developed for the deployment of high-availability web applications provide an environment with a number of appealing features for such high-throughput processing tasks. Here, an implementation of an early-stage processing pipeline for electron cryotomography experiments using a service-based architecture deployed on a Kubernetes cluster is discussed in order to demonstrate the benefits of this approach and how it may be extended to scenarios of considerably increased complexity.

The validation of structural models obtained by macromolecular X-ray crystallography against experimental diffraction data, whether before deposition into the PDB or after, is typically carried out exclusively against the merged data that are eventually archived along with the atomic coordinates. It is shown here that the availability of unmerged reflection data enables valuable additional analyses to be performed that yield improvements in the final models, and tools are presented to implement them, together with examples of the results to which they give access. The first example is the automatic identification and removal of image ranges affected by loss of crystal centering or by excessive decay of the diffraction pattern as a result of radiation damage. The second example is the `reflection-auditing' process, whereby individual merged data items showing especially poor agreement with model predictions during refinement are investigated thanks to the specific metadata (such as image number and detector position) that are available for the corresponding unmerged data, potentially revealing previously undiagnosed instrumental, experimental or processing problems. The third example is the calculation of so-called F(early) − F(late) maps from carefully selected subsets of unmerged amplitude data, which can not only highlight the location and extent of radiation damage but can also provide guidance towards suitable fine-grained parametrizations to model the localized effects of such damage.

Metalloproteins are ubiquitous in all living organisms and take part in a very wide range of biological processes. For this reason, their experimental characterization is crucial to obtain improved knowledge of their structure and biological functions. The three-dimensional structure represents highly relevant information since it provides insight into the interaction between the metal ion(s) and the protein fold. Such interactions determine the chemical reactivity of the bound metal. The available PDB structures can contain errors due to experimental factors such as poor resolution and radiation damage. A lack of use of distance restraints during the refinement and validation process also impacts the structure quality. Here, the aim was to obtain a thorough overview of the distribution of the distances between metal ions and their donor atoms through the statistical analysis of a data set based on more than 115 000 metal-binding sites in proteins. This analysis not only produced reference data that can be used by experimentalists to support the structure-determination process, for example as refinement restraints, but also resulted in an improved insight into how protein coordination occurs for different metals and the nature of their binding interactions. In particular, the features of carboxylate coordination were inspected, which is the only type of interaction that is commonly present for nearly all metals.

The availability of highly accurate protein structure predictions from AlphaFold2 (AF2) and similar tools has hugely expanded the applicability of molecular replacement (MR) for crystal structure solution. Many structures can be solved routinely using raw models, structures processed to remove unreliable parts or models split into distinct structural units. There is therefore an open question around how many and which cases still require experimental phasing methods such as single-wavelength anomalous diffraction (SAD). Here, this question is addressed using a large set of PDB depositions that were solved by SAD. A large majority (87%) could be solved using unedited or minimally edited AF2 predictions. A further 18 (4%) yield straightforwardly to MR after splitting of the AF2 prediction using Slice'N'Dice, although different splitting methods succeeded on slightly different sets of cases. It is also found that further unique targets can be solved by alternative modelling approaches such as ESMFold (four cases), alternative MR approaches such as ARCIMBOLDO and AMPLE (two cases each), and multimeric model building with AlphaFold-Multimer or UniFold (three cases). Ultimately, only 12 cases, or 3% of the SAD-phased set, did not yield to any form of MR tested here, offering valuable hints as to the number and the characteristics of cases where experimental phasing remains essential for macromolecular structure solution.

Most scientific facilities produce large amounts of heterogeneous data at a rapid pace. Managing users, instruments, reports and invoices presents additional challenges. To address these challenges, EMhub, a web platform designed to support the daily operations and record-keeping of a scientific facility, has been introduced. EMhub enables the easy management of user information, instruments, bookings and projects. The application was initially developed to meet the needs of a cryoEM facility, but its functionality and adaptability have proven to be broad enough to be extended to other data-generating centers. The expansion of EMHub is enabled by the modular nature of its core functionalities. The application allows external processes to be connected via a REST API, automating tasks such as folder creation, user and password generation, and the execution of real-time data-processing pipelines. EMhub has been used for several years at the Swedish National CryoEM Facility and has been installed in the CryoEM center at the Structural Biology Department at St. Jude Children's Research Hospital. A fully automated single-particle pipeline has been implemented for on-the-fly data processing and analysis. At St. Jude, the X-Ray Crystallography Center and the Single-Molecule Imaging Center have already expanded the platform to support their operational and data-management workflows.

Categorization underlies understanding. Conceptualizing solid-state structures of organic molecules with `archetype crystal structures' bridges established categories of disorder, polymorphism and solid solutions and is herein extended to special position and high-Z' structures. The concept was developed in the context of disorder modelling [Dittrich, B. (2021). IUCrJ, 8, 305–318] and relies on adding quantum chemical energy differences between disorder components to other criteria as an explanation as to why disorder – and disappearing disorder – occurs in an average structure. Part of the concept is that disorder, as probed by diffraction, affects entire molecules, rather than just the parts of a molecule with differing conformations, and the finding that an R·T energy difference between disorder archetypes is usually not exceeded. An illustrative example combining disorder and special positions is the crystal structure of oestradiol hemihydrate analysed here, where its space-group/subgroup relationship is required to explain its disorder of hydrogen-bonded hydrogen atoms. In addition, we show how high-Z' structures can also be analysed energetically and understood via archetypes: high-Z' structures occur when an energy gain from combining different rather than overall alike conformations in a crystal significantly exceeds R·T, and this finding is discussed in the context of earlier explanations in the literature. Twinning is not related to archetype structures since it involves macroscopic domains of the same crystal structure. Archetype crystal structures are distinguished from crystal structure prediction trial structures in that an experimental reference structure is required for them. Categorization into archetype structures also has practical relevance, leading to a new practice of disorder modelling in experimental least-squares refinement alluded to in the above-mentioned publication.

Although COF-300 is often used as an example to study the synthesis and structure of (3D) covalent organic frameworks (COFs), knowledge of the underlying synthetic processes is still fragmented. Here, an optimized synthetic procedure based on a combination of linker protection and modulation was applied. Using this approach, the influence of time and temperature on the synthesis of COF-300 was studied. Synthesis times that were too short produced materials with limited crystallinity and porosity, lacking the typical pore flexibility associated with COF-300. On the other hand, synthesis times that were too long could be characterized by loss of crystallinity and pore order by degradation of the tetrakis(4-aminophenyl)methane (TAM) linker used. The presence of the degradation product was confirmed by visual inspection, Raman spectroscopy and X-ray photoelectron spectroscopy (XPS). As TAM is by far the most popular linker for the synthesis of 3D COFs, this degradation process might be one of the reasons why the development of 3D COFs is still lagging compared with 2D COFs. However, COF crystals obtained via an optimized procedure could be structurally probed using 3D electron diffraction (3DED). The 3DED analysis resulted in a full structure determination of COF-300 at atomic resolution with satisfying data parameters. Comparison of our 3DED-derived structural model with previously reported single-crystal X-ray diffraction data for this material, as well as parameters derived from the Cambridge Structural Database, demonstrates the high accuracy of the 3DED method for structure determination. This validation might accelerate the exploitation of 3DED as a structure determination technique for COFs and other porous materials.

Mineral identification and quantification are key to the understanding and, hence, the capacity to predict material properties. The method of choice for mineral quantification is powder X-ray diffraction (XRD), generally using a Rietveld refinement approach. However, a successful Rietveld refinement requires preliminary identification of the phases that make up the sample. This is generally carried out manually, and this task becomes extremely long or virtually impossible in the case of very large datasets such as those from synchrotron X-ray diffraction computed tomography. To circumvent this issue, this article proposes a novel neural network (NN) method for automating phase identification and quantification. An XRD pattern calculation code was used to generate large datasets of synthetic data that are used to train the NN. This approach offers significant advantages, including the ability to construct databases with a substantial number of XRD patterns and the introduction of extensive variability into these patterns. To enhance the performance of the NN, a specifically designed loss function for proportion inference was employed during the training process, offering improved efficiency and stability compared with traditional functions. The NN, trained exclusively with synthetic data, proved its ability to identify and quantify mineral phases on synthetic and real XRD patterns. Trained NN errors were equal to 0.5% for phase quantification on the synthetic test set, and 6% on the experimental data, in a system containing four phases of contrasting crystal structures (calcite, gibbsite, dolomite and hematite). The proposed method is freely available on GitHub and allows for major advances since it can be applied to any dataset, regardless of the mineral phases present.

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.

The compression behavior of [Rb(18-crown-6)][SbCl6] crystal under pressure up to 2.16 (3) GPa was investigated in a diamond anvil cell (DAC) using a mixture of pentane–iso­pentane (1:4) as the pressure-transmitting fluid. The compound crystallizes in trigonal space group R3 and no phase transition was observed in the indicated pressure range. The low value of pressure bulk modulus [9.1 (5) GPa] found in this crystal is a characteristic of soft materials with predominant dispersive and electrostatic interaction forces. The nonlinear relationship between unit-cell parameters under high pressure is attributed to the influence of reduced intermolecular H⋯Cl contacts under pressure over 0.73 GPa. It also explains the high compression efficiency of [Rb(18-crown-6)][SbCl6] crystals at relatively low pressures, resulting in a significant shift of the Rb atom to the center of the crown ether cavity. At pressures above 0.9 GPa, steric repulsion forces begin to play a remarkable role, since an increasing number of interatomic H⋯Cl and H⋯H contacts become shorter than the sum of their van der Waals (vdW) radii. Below 0.9 GPa, both unit-cell parameter dependences (P–a and P–c) exhibit hysteresis upon pressure release, demonstrating their influence on the disordered model of Rb atoms. The void reduction under pressure also demonstrates two linear sections with the inflection point at 0.9 GPa. Compression of the crystal is accompanied by a significant decrease in the volume of the voids, leading to the rapid approach of Rb atoms to the center of the crown ether cavity. For the Rb atom to penetrate into the center of the crown ether cavity in [Rb(18-crown-6)][SbCl6], it is necessary to apply a pressure of about 2.5 GPa to disrupt the balance of atomic forces in the crystal. This sample serves as a compression model demonstrating the influence of both attractive and repulsive forces on the change in unit-cell parameters under pressure.

The maximum range of perpendicular momentum transfer (qz) has been tripled for X-ray scattering from liquid surfaces when using a double-crystal deflector setup to tilt the incident X-ray beam. This is achieved by employing a higher-energy X-ray beam to access Miller indices of reflecting crystal atomic planes that are three times higher than usual. The deviation from the exact Bragg angle condition induced by misalignment between the X-ray beam axis and the main rotation axis of the double-crystal deflector is calculated, and a fast and straightforward procedure to align them is deduced. An experimental method of measuring scattering intensity along the qz direction on liquid surfaces up to qz = 7 Å−1 is presented, with liquid copper serving as a reference system for benchmarking purposes.

X-ray reflectometry (XRR) is a powerful tool for probing the structural characteristics of nanoscale films and layered structures, which is an important field of nanotechnology and is often used in semiconductor and optics manufacturing. This study introduces a novel approach for conducting quantitative high-resolution millisecond monochromatic XRR measurements. This is an order of magnitude faster than in previously published work. Quick XRR (qXRR) enables real time and in situ monitoring of nanoscale processes such as thin film formation during spin coating. A record qXRR acquisition time of 1.4 ms is demonstrated for a static gold thin film on a silicon sample. As a second example of this novel approach, dynamic in situ measurements are performed during PMMA spin coating onto silicon wafers and fast fitting of XRR curves using machine learning is demonstrated. This investigation primarily focuses on the evolution of film structure and surface morphology, resolving for the first time with qXRR the initial film thinning via mass transport and also shedding light on later thinning via solvent evaporation. This innovative millisecond qXRR technique is of significance for in situ studies of thin film deposition. It addresses the challenge of following intrinsically fast processes, such as thin film growth of high deposition rate or spin coating. Beyond thin film growth processes, millisecond XRR has implications for resolving fast structural changes such as photostriction or diffusion processes.

A systematic procedure is introduced for modeling charge-neutral non-polar surfaces of ionic minerals containing polyatomic anions. By integrating distance- and charge-based clustering to identify chemical species within the mineral bulk, our pipeline, PolyCleaver, renders a variety of theoretically viable surface terminations. As a demonstrative example, this approach was applied to forsterite (Mg2SiO4), unveiling a rich interface landscape based on interactions with formaldehyde, a relevant multifaceted molecule, and more particularly in prebiotic chemistry. This high-throughput method, going beyond techniques traditionally applied in the modeling of minerals, offers new insights into the potential catalytic properties of diverse surfaces, enabling a broader exploration of synthetic pathways in complex mineral systems.

In antiquity, Pb was a common element added in the production of large bronze artifacts, especially large statues, to impart fluidity to the casting process. As Pb does not form a solid solution with pure Cu or with the Sn–Cu alloy phases, it is normally observed in the metal matrix as globular droplets embedded within or in interstitial positions among the crystals of Sn-bronze (normally the α phase) as the last crystallizing phase during the cooling process of the Cu–Sn–Pb ternary melt. The disequilibrium Sn content of the Pb droplets has recently been suggested as a viable parameter to detect modern materials [Shilstein, Berner, Feldman, Shalev & Rosenberg (2019). STAR Sci. Tech. Archaeol. Res. 5, 29–35]. The application assumes a time-dependent process, with a timescale of hundreds of years, estimated on the basis of the diffusion coefficient of Sn in Pb over a length of a few micrometres [Oberschmidt, Kim & Gupta (1982). J. Appl. Phys. 53, 5672–5677]. Therefore, Pb inclusions in recent Sn-bronze artifacts are actually a metastable solid solution of Pb–Sn containing ∼3% atomic Sn. In contrast, in ancient artifacts, unmixing processes and diffusion of Sn from the micro- and nano-inclusions of Pb to the matrix occur, resulting in the Pb inclusions containing a substantially lower or negligible amount of Sn. The Sn content in the Pb inclusions relies on accurate measurement of the lattice parameter of the phase in the Pb–Sn solid solution, since for low Sn values it closely follows Vegard's law. Here, several new measurements on modern and ancient samples are presented and discussed in order to verify the applicability of the method to the detection of modern artwork pretending to be ancient.

The capillary wave model of a liquid surface predicts both the X-ray specular reflection and the diffuse scattering around it. A quantitative method is presented to obtain the X-ray reflectivity (XRR) from a liquid surface through the diffuse scattering data around the specular reflection measured using a grazing incidence X-ray off-specular scattering (GIXOS) geometry at a fixed horizontal offset angle with respect to the plane of incidence. With this approach the entire Qz-dependent reflectivity profile can be obtained at a single, fixed incident angle. This permits a much faster acquisition of the profile than with conventional reflectometry, where the incident angle must be scanned point by point to obtain a Qz-dependent profile. The XRR derived from the GIXOS-measured diffuse scattering, referred to in this paper as pseudo-reflectivity, provides a larger Qz range compared with the reflectivity measured by conventional reflectometry. Transforming the GIXOS-measured diffuse scattering profile to pseudo-XRR opens up the GIXOS method to widely available specular XRR analysis software tools. Here the GIXOS-derived pseudo-XRR is compared with the XRR measured by specular reflectometry from two simple vapor–liquid interfaces at different surface tension, and from a hexadecyltri­methyl­ammonium bromide monolayer on a water surface. For the simple liquids, excellent agreement (beyond 11 orders of magnitude in signal) is found between the two methods, supporting the approach of using GIXOS-measured diffuse scattering to derive reflectivities. Pseudo-XRR obtained at different horizontal offset angles with respect to the plane of incidence yields indistinguishable results, and this supports the robustness of the GIXOS-XRR approach. The pseudo-XRR method can be extended to soft thin films on a liquid surface, and criteria are established for the applicability of the approach.

Polymer-derived ceramics (PDCs) remain at the forefront of research for a variety of applications including ultra-high-temperature ceramics, energy storage and functional coatings. Despite their wide use, questions remain about the complex structural transition from polymer to ceramic and how local structure influences the final microstructure and resulting properties. This is further complicated when nanofillers are introduced to tailor structural and functional properties, as nanoparticle surfaces can interact with the matrix and influence the resulting structure. The inclusion of crystalline nanofiller produces a mixed crystalline–amorphous composite, which poses characterization challenges. With this study, we aim to address these challenges with a local-scale structural study that probes changes in a polysiloxane matrix with incorporated copper nanofiller. Composites were processed at three unique temperatures to capture mixing, pyrolysis and initial crystallization stages for the pre-ceramic polymer. We observed the evolution of the nanofiller with electron microscopy and applied synchrotron X-ray diffraction with differential pair distribution function (d-PDF) analysis to monitor changes in the matrix's local structure and interactions with the nanofiller. The application of the d-PDF to PDC materials is novel and informs future studies to understand interfacial interactions between nanofiller and matrix throughout PDC processing.

It is demonstrated that high-resolution energy-dispersive X-ray fluorescence mapping devices based on a micro-focused beam are not restricted to high-speed analyses of element distributions or to the detection of different grains, twins and subgrains in crystalline materials but can also be used for the detection of dislocations in high-quality single crystals. Si single crystals with low dislocation densities were selected as model materials to visualize the position of dis­locations by the spatially resolved measurement of Bragg-peak intensity fluctuations. These originate from the most distorted planes caused by the stress fields of dislocations. The results obtained by this approach are compared with laboratory-based Lang X-ray topographs. The presented methodology yields comparable results and it is of particular interest in the field of crystal growth, where fast chemical and microstructural characterization feedback loops are indispensable for short and efficient development times. The beam divergence was reduced via an aperture management system to facilitate the visualization of dislocations for virtually as-grown, non-polished and non-planar samples with a very pronounced surface profile.

Neutron spectroscopy uniquely and non-destructively accesses diffusive dynamics in soft and biological matter, including for instance proteins in hydrated powders or in solution, and more generally dynamic properties of condensed matter on the molecular level. Given the limited neutron flux resulting in long counting times, it is important to optimize data acquisition for the specific question, in particular for time-resolved (kinetic) studies. The required acquisition time was recently significantly reduced by measurements of discrete energy transfers rather than quasi-continuous neutron scattering spectra on neutron backscattering spectrometers. Besides this reduction in acquisition times, smaller amounts of samples can be measured with better statistics, and most importantly, kinetically changing samples, such as aggregating or crystallizing samples, can be followed. However, given the small number of discrete energy transfers probed in this mode, established analysis frameworks for full spectra can break down. Presented here are new approaches to analyze measurements of diffusive dynamics recorded within fixed windows in energy transfer, and these are compared with the analysis of full spectra. The new approaches are tested by both modeled scattering functions and a comparative analysis of fixed energy window data and full spectra on well understood reference samples. This new approach can be employed successfully for kinetic studies of the dynamics focusing on the short-time apparent center-of-mass diffusion.

Presented and discussed here is the implementation of a software solution that provides prompt X-ray diffraction data analysis during fast dynamic compression experiments conducted within the dynamic diamond anvil cell technique. It includes efficient data collection, streaming of data and metadata to a high-performance cluster (HPC), fast azimuthal data integration on the cluster, and tools for controlling the data processing steps and visualizing the data using the DIOPTAS software package. This data processing pipeline is invaluable for a great number of studies. The potential of the pipeline is illustrated with two examples of data collected on ammonia–water mixtures and multiphase mineral assemblies under high pressure. The pipeline is designed to be generic in nature and could be readily adapted to provide rapid feedback for many other X-ray diffraction techniques, e.g. large-volume press studies, in situ stress/strain studies, phase transformation studies, chemical reactions studied with high-resolution diffraction etc.

With the emergence of ultrafast X-ray sources, interest in following fast processes in small molecules and macromolecules has increased. Most of the current research into ultrafast structural dynamics of macromolecules uses X-ray free-electron lasers. In parallel, small-scale laboratory-based laser-driven ultrafast X-ray sources are emerging. Continuous development of these sources is underway, and as a result many exciting applications are being reported. However, because of their low flux, such sources are not commonly used to study the structural dynamics of macromolecules. This article examines the feasibility of time-resolved powder diffraction of macromolecular microcrystals using a laboratory-scale laser-driven ultrafast X-ray source.

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.

Small-angle neutron scattering is a widely used technique to study large-scale structures in bulk samples. The largest accessible length scale in conventional Bragg scattering is determined by the combination of the longest available neutron wavelength and smallest resolvable scattering angle. A method is presented that circumvents this limitation and is able to extract larger length scales from the low-q power-law scattering using a modification of the well known Porod law connecting the scattered intensity of randomly distributed objects to their specific surface area. It is shown that in the special case of a highly aligned domain structure the specific surface area extracted from the modified Porod law can be used to determine specific length scales of the domain structure. The analysis method is applied to study the micrometre-sized domain structure found in the intermediate mixed state of the superconductor niobium. The analysis approach allows the range of accessible length scales to be extended from 1 µm to up to 40 µm using a conventional small-angle neutron scattering setup.

X-ray multi-projection imaging (XMPI) is an emerging experimental technique for the acquisition of rotation-free, time-resolved, volumetric information on stochastic processes. The technique is developed for high-brilliance light-source facilities, aiming to address known limitations of state-of-the-art imaging methods in the acquisition of 4D sample information, linked to their need for sample rotation. XMPI relies on a beam-splitting scheme, that illuminates a sample from multiple, angularly spaced viewpoints, and employs fast, indirect, X-ray imaging detectors for the collection of the data. This approach enables studies of previously inaccessible phenomena of industrial and societal relevance such as fractures in solids, propagation of shock waves, laser-based 3D printing, or even fast processes in the biological domain. In this work, we discuss in detail the beam-splitting scheme of XMPI. More specifically, we explore the relevant properties of X-ray splitter optics for their use in XMPI schemes, both at synchrotron insertion devices and XFEL facilities. Furthermore, we describe two distinct XMPI schemes, designed to faciliate large samples and complex sample environments. Finally, we present experimental proof of the feasibility of MHz-rate XMPI at the European XFEL. This detailed overview aims to state the challenges and the potential of XMPI and act as a stepping stone for future development of the technique.

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Source: Scott Searle 11/08/2024

Gogo Inc. (GOGO:NASDAQ) reported its Q3/24 financial results, and they slightly exceeded expectations, reported Scott Searle, managing director at Roth MKM, in a Nov. 5 research note.

The company provides in-flight connectivity services to business aviation markets through its North American terrestrial air-to-ground network.

137% Potential Return

Roth maintained its target price of US$15.50 per share on Gogo, noted Searle.

"We believe this provides a reasonable 12-plus-month target given the expected impact from two major new product cycles as we enter 2025," he wrote, referring to Galileo, the company's global inflight broadband service, and its 5G product line.

In comparison, the company's share price at the time of the report was about US$6.55 per share. From this price, the return to target reflects 137% upside.

Gogo remains a Buy.

Quarter's Highlights

Searle reported that Gogo's Q3/24 service revenue was a beat. At US$81.9 million (US$81.9M), it was slightly higher than that in Q2/24 and driven by modestly better-than-expected aircraft online, Searle reported. This revenue exceeded Roth's estimate by about US$300,000.

Also of note, Galileo is on track to launch in Q4/24, and Gogo continues to grow its portfolio of supplemental type certificates and partners around the world.

A Look Ahead

Gogo's outlook for 2024 of US$400-410M encompasses consensus' estimate, noted Searle. The company, though, has "pulled long-term guidance ahead of the Satcom Direct [acquisition] closing."

Roth expects Galileo and 5G will lead recovery, expected in late 2025.

In other news, noted Searle, Gogo Chairman and Chief Executive Officer Oakleigh Thorne will present at Roth's NYC Tech Event on Nov. 20.

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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 Roth MKM, Gogo Inc., November 5, 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: ROTH makes a market in shares of Gogo, Inc. and as such, buys and sells from customers on a principal basis.

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: GOGO:NASDAQ, )

US-based fintech Felix Pago has announced a partnership...

The National Bank of Cambodia (NBC) has announced the launch of the Bakong Tourists App with Mastercard, with the institution aiming to optimise digital payments for tourists visiting Cambodia. 

Singapore-based TransferTo has partnered with the Pan-African Ecobank Group in order to expand financial access and cross-border payments across the region of Africa.

Source: Streetwise Reports 11/07/2024

Dakota Gold Corp. (DC:NYSE American) announced drill results from the first 17 holes of its ongoing infill drilling program to expand the maiden resource at its Richmond Hill Gold Project in the historic Homestake District of South Dakota.

An updated S-K 1300 resource estimate is planned for Q1 2025 and a S-K 1300 Initial Assessment with cashflow analysis is planned for Q2 2025, the company said in a release. The expanded resource is expected to include an additional 88 new drill holes totaling 17,000 meters.

"The highlight of this morning's release was (hole) RH24C-099, which was drilled in the Twin Tunnels Zone and returned 1.15 g/t Au (grams per tonne gold) over 51.7 meters from 132.9 meters," wrote Canaccord Genuity Capital Markets Analyst Peter Bell in an updated research note on Monday. "The results this morning were consistent with the current resource at Richmond Hill, with many cases reporting higher-than-average grades."

Bell said the firm was encouraged by the results, "which we believe provide support for expansion in future resource estimates. With infill and step out drilling at Richmond Hill being just one of three ongoing drill programs currently underway at Dakota, underscoring the company's emphasis on exploration and expansion."

Drilling Is 'Adding Ounces'

The maiden S-K 1300 resource, announced in April, outlined an Indicated Resource of 51.83 million tonnes (Mt) at 0.80 g/t Au for 1.33 million ounces (Moz) and Inferred Resource of 58.06 Mt at 0.61 g/t Au for 1.13 Moz., the company said.

The initial infill drill results release released Monday encountered further gold mineralization from the central portion of the Richmond Hill resource area consistent with results reported in the maiden resource, Dakota said. The drilling was conducted in areas where the original resource block model contained gaps to support the company's belief that the initial resource could be significantly expanded with additional infill drilling.

Highlights of the results include:

• Hole RH24C-077: 0.76 g/t Au over 24.4 meters
• Hole RH24C-083: 0.70 g/t Au over 13.8 meters
• Hole RH24C-085: 1.10 g/t Au over 17.9 meters
• Hole RH24C-088A: 0.96 g/t Au over 41.5 meters
• Hole RH24C-099: 1.15 g/t Au over 51.7 meters

Dakota said the resource remained open in all directions and could be improved with more drilling, metallurgical work, and incorporation of silver into the resource.

"We are very pleased to see that initial results from our infill drill program are adding ounces to our current S-K 1300 resource," said Dakota Vice President of Exploration James Berry. "The results to date show grades and widths consistent with drill holes in the original block model and support an expansion of gold mineralization, including shallow oxide mineralization. We look forward to continuing our infill program on the other zones identified in our Initial assessment for follow-up drilling."

'Vastly Unexplored' District

The historic Homestake Mine produced 41 Moz Au and 9 Moz silver (Ag) over 126 years. The company has 48,000 acres of holdings surrounding the original mine, which was first discovered in 1876 and consolidated by George Hearst.

Areas surrounding "super-giant deposits" like Homestake are believed to contain significant additional gold resources, wrote John Newell wrote.

Areas surrounding "super-giant deposits" like Homestake are believed to contain significant additional gold resources, wrote John Newell of John Newell & Associates this week for a Streetwise Reports piece on the legacy of the famous mine.

"Super-giant deposits are characterized by clusters of geologically similar deposits within several hundred square kilometers, defining profoundly mineralized regions," Newell wrote. "It is believed that at least twice that amount of gold exists in the neighborhood of these super giants. If that is true, then there are at least 100 Moz of gold left to be found in this vastly underexplored precious metal district of South Dakota."

This proximity to a super-giant "suggests a high potential for similar deposits," Newell wrote. "Being in the shadow of many old mines increases the probability of finding significant mineral resources."

The Catalyst: Gold Continues Bull Market

After hitting a record high of US$2,790.15 per ounce on Thursday, spot gold was up 0.1% to US$2,737.35 on Monday afternoon, according to Reuters.

Investors were keeping a close on Tuesday's presidential election in the U.S. and the Federal Reserve's meeting later this week, Anjana Anil reported.

"A Reuters/Ipsos poll conducted last month found worries that the U.S. could see a repeat of the unrest that followed Trump's 2020 election defeat, when his false claim that his loss was the result of fraud prompted hundreds to storm the U.S. Capitol," Anil wrote.

Gold's rise has "resulted in big returns for the investors who bought in earlier this year," Angelica Leicht reported for CBS News last month. "For example, the investors who purchased gold in March when it hit US$2,160 per ounce have seen their gold values increase by nearly 27% in the time since. That's a huge uptick in value in a matter of months, especially on an asset that's known more for long-term growth."

Recently polled London Bullion Market Association members indicated they believe the gold price could reach US$2,940/oz during 2025, reported Stockhead on Oct. 28.

"Combined with expectations of lower global interest rates, this further enhances gold's attractiveness as an investment," the article noted.[OWNERSHIP_CHART-7442]

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.

Ownership and Share Structure

According to the company, approximately 25% of its shares are with management and insiders.

Out of management, Co-chairman, Director, President and Chief Executive Officer Robert Quartermain holds the most shares at 8.4%, while COO Jerry Aberle holds 4.8%, the company said.

About 26% of the shares are with institutional investors, according to Yahoo Finance and Edgar filings. Top institutional holders include Fourth Sail Capital with 5.3%, Van Eck Associates with 4.1%, Blackrock Institutional Trust Co. with 3.7%, The Vanguard Group Inc. with about 3.2%, Fidelity Management and Research Co. LLC with 2.7%, and CI Global Asset Management with 2.6%.

About 16.5% is with strategic investors, including Orion Mine Finance, which owns about 9.9%, and Barrick Gold Corp., which owns about 2.5%. The rest is retail.

Dakota Gold has a market cap of US$212.61 million, with 93.66 million shares outstanding. It trades in a 52-week range of US$3.25 and US$1.84.

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Important Disclosures:

1. Dakota 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 Dakota Gold Corp.
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: DC:NYSE American, )

Reconstructions from the Daynès Studio in Paris depict a male Neanderthal (right) face to face with a human, Homo sapiens.; Credit: /Science Source

It's something that many of us reckon with: the sense that we're not quite as sharp as we once were.

I recently turned 42. Having lost my grandfather to Alzheimer's, and with my mom suffering from a similar neurodegenerative disease, I'm very aware of what pathologies might lurk beneath my cranium.

In the absence of a cure for Alzheimer's and other forms of dementia, the most important interventions for upholding brain function are preventive — those that help maintain our most marvelous, mysterious organ.

Based on the science, I take fish oil and broil salmon. I exercise. I try to challenge my cortex to the unfamiliar.

As I wrote my recent book, A History of the Human Brain, which recounts the evolutionary tale of how our brain got here, I began to realize that so many of the same influences that shaped our brain evolution in the first place reflect the very measures we use to preserve our cognitive function today.

Being social, and highly communicative. Exploring creative pursuits. Eating a varied, omnivorous diet low in processed foods. Being physically active.

These traits and behaviors help retrace our past, and, I believe, were instrumental in why we remain on the planet today.

And they all were, at least in part, enabled by our brain.

Social smart alecks finish first

The human saga is riddled with extinctions.

By "human," I don't just mean Homo sapiens, the species we belong to, but any member of the genus Homo. We've gotten used to being the only human species on Earth, but in our not so distant past — probably a few hundred thousand years ago – there were at least nine of us running around.

There was Homo habilis, or the "handy man." And Homo erectus, the first "pitcher." The Denisovans roamed Asia, while the more well-known Neanderthals spread throughout Europe.

But with the exception of Homo sapiens, they're all gone. And there's a good chance it was our fault.

Humans were never the fastest lot on the African plains, and far from the strongest. Cheetahs, leopards and lions held those distinctions. In our lineage, natural selection instead favored wits and wiliness.

Plenty of us became cat food, but those with a slight cognitive edge — especially Homo sapiens — lived on. In our ilk, smarts overcame strength and speed in enabling survival.

Ecology, climate, location and just sheer luck would've played important roles in who persisted or perished as well, as they do for most living beings. But the evolutionary pressure for more complex mental abilities would lead to a massive expansion in our brain's size and neurocircuitry that is surely the paramount reason we dominate the planet like no other species ever has.

Much of this "success," if you can call it that, was due to our social lives.

Primates are communal creatures. Our close monkey and ape cousins are incredibly interactive, grooming each other for hours a day to maintain bonds and relationships. Throw in a few hoots and hollers and you have a pretty complex community of communicating simians.

An active social life is now a known preserver of brain function.

Research shows that social isolation worsens cognitive decline (not to mention mental health, as many of us experienced this past year). Larger social networks and regular social activities are associated with mental preservation and slowed dementia progression.

Entwined in this new social life was an evolutionary pressure that favored innovation. Our eventual ability to generate completely novel thoughts and ideas, and to share those ideas, came to define our genus.

As we hunted and foraged together, and honed stones into hand axes, there was a collective creativity at work that gave us better weapons and tools that enabled more effective food sourcing, and, later, butchering and fire. Effectively sharing these innovations with our peers allowed information to spread faster than ever before - a seed for the larger communities and civilizations to come.

Challenging ourselves to new pursuits and mastering new skills can not only impress peers and ingratiate us to our group, but literally help preserve our brain. New hobbies. New conversations. Learning the banjo. Even playing certain video games and simply driving a new route home from work each day, as neuroscientist David Eagleman does, can keep our function high.

Whether it's honing ancient stone or taking up Sudoku, any pursuit novel and mentally challenging may help keep the neural circuits firing.

We really are what we eat

All the while, as we hunted and crafted in new and communal ways, we had to eat. And we did so with an uniquely adventurous palette.

Homo sapiens is among the most omnivorous species on the planet. Within reason we eat just about anything. Whether it's leaves, meat, fungus, or fruit, we don't discriminate. At some point, one of us even thought it might be a good idea to try the glistening, grey blobs that are oysters - and shellfish are, it turns out, among the healthiest foods for our brain.

The varied human diet is an integral part of our story. As was the near constant physicality required to source it.

On multiple occasions over the past 1 to 2 million years climate changes dried out the African landscape, forcing our ancestors out of the lush forest onto the dangerous, wide-open grasslands. As evolution pressured us to create and commune to help us survive, a diverse diet also supported our eventual global takeover.

Our arboreal past left us forever craving the dangling fruits of the forest, a supreme source of high-calorie sugars that ensured survival. Back then we didn't live long enough to suffer from Type 2 diabetes: if you encountered sweets, you ate them. And today we're stuck with a taste for cookies and candy that, given our longer lifespans, can take its toll on the body and brain.

But humans were just as amenable to dining on the bulbs, rhizomes and tubers of the savanna, especially once fire came along. We eventually became adept scavengers of meat and marrow, the spoils left behind by the big cats, who preferred more nutritive organ meat.

As our whittling improved we developed spears, and learned to trap and hunt the beasts of the plains ourselves. There is also evidence that we learned to access shellfish beds along the African coast and incorporate brain-healthy seafood into our diet.

Studying the health effects of the modern diet is tricky. Dietary studies are notoriously dubious, and often involve countless lifestyle variables that are hard to untangle.

Take blueberries. Multiple studies have linked their consumption with improved brain health. But, presumably, the berry-prone among us are also more likely to eat healthy all around, exercise, and make it to level 5 on their meditation app.

Which is why so many researchers, nutritionists, and nutritional psychiatrists now focus on dietary patterns, like those akin to Mediterranean culinary customs, rather than specific ingredients. Adhering to a Mediterranean diet is linked with preserved cognition; and multiple randomized-controlled trials suggest doing so can lower depression risk.

A similar diversity in our ancestral diet helped early humans endure an ever-shifting climate and times of scarcity. We evolved to subsist and thrive on a wide range of foods, in part because our clever brains allowed us access to them. In turn, a similarly-varied diet (minus submitting to our innate sugar craving of course) is among the best strategies to maintain brain health.

All of our hunting, and foraging, and running away from predators would have required intense physical exertion. This was certainly not unique to humans, but we can't ignore the fact that regular exercise is another effective means of preserving brain health.

Being active improves performance on mental tasks, and may help us better form memories. Long before the Peletons sold out, our brains relied on both mental and physical activity.

But overwhelmingly the evidence points to embracing a collection of lifestyle factors to keep our brain healthy, none of which existed in a Darwinian vacuum.

Finding food was as social an endeavor as it was mental and physical. Our creative brains harnessed information; gossiping, innovating, and cooking our spoils around the campfire.

Researchers are beginning to piece together the complex pathology behind the inevitable decline of the human brain, and despite a parade of failed clinical trials in dementia, there should be promising treatments ahead.

Until then, in thinking about preserving the conscious experience of our world and relationships — and living our longest, happiest lives — look to our past.

Bret Stetka is a writer based in New York and an editorial director at Medscape. His work has appeared in Wired, Scientific American, and on The Atlantic.com. His new book, A History of the Human Brain, is out from Timber/Workman Press. He's also on Twitter: @BretStetka.

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

Many hospitals around the country, including Medstar Washington Hospital in Washington DC., have started sharing their prices online in compliance with a recent federal rule.; Credit: DANIEL SLIM/AFP via Getty Images

A colonoscopy might cost you or your insurer a few hundred dollars — or several thousand, depending on which hospital or insurer you use.

Long hidden, such price variations are supposed to be available in stark black and white under a Trump administration price transparency rule that took effect at the start of this year. It requires hospitals to post a range of actual prices — everything from the rates they offer cash-paying customers to costs negotiated with insurers.

Many have complied.

But some hospitals bury the data deep on their websites or have not included all the categories of prices required, according to industry analysts. A sizable minority of hospitals have not disclosed the information at all.

While imperfect and potentially of limited use right now to the average consumer, the disclosures that are available illustrate the huge differences in prices — nationally, regionally and within the same hospital. But they're challenging for consumers and employers to use, giving a boost to a cottage industry that analyzes the data.

While it's still an unanswered question whether price transparency will lead to overall lower prices, KHN took a dive into the initial trove of data to see what it reveals. Here are five takeaways from the newly public data and tips for how you might be able to use it to your benefit

1) As expected, prices are all over the map

The idea behind the requirement to release prices is that the transparency may prompt consumers to shop around, weighing cost and quality. Perhaps they could save a few hundred dollars by getting their surgery or imaging test across town instead of at the nearby clinic or hospital.

Under the Trump-era rule, hospitals must post what they accept from all insurers for thousands of line items, including each drug, procedure or treatment they provide. In addition, hospitals must present this in a format easily readable by computers and include a consumer-friendly separate listing of 300 "shoppable" services, bundling the full price a hospital accepts for a given treatment, such as having a baby or getting a hip replacement.

The negotiated rates now being posted publicly often show an individual hospital accepting a wide range of prices for the same service, depending on the insurer, often based on how much negotiating power each has in a market.

In some cases, the cash-only price is less than what insurers pay. And prices may vary widely within the same city or region.

In Virginia, for example, the average price of a diagnostic colonoscopy is $2,763, but the range across the state is from $208 to $10,563, according to a database aggregated by San Diego-based Turquoise Health, one of the new firms looking to market the data to businesses, while offering some information free of charge to patients.

2) Patients can look up the information, but it's incomplete

Patients can try to find the price information themselves by searching hospital websites, but even locating the correct tab on a hospital's website is tricky.

Typically, consumers don't comparison-shop, preferring to choose convenience or the provider their doctor recommends. A recent Peterson-KFF Health System Tracker brief, for instance, found that 85% of adults said they had not researched online the price of a hospital treatment.

And hospitals say the transparency push alone won't help consumers much, because each patient's situation is different and may vary from the average— and individual deductibles and insurance plans complicate matters.

But if you do want to try, here's one tip: "You can Google the hospital name and the words 'price transparency' and see where that takes you," says Caitlin Sheetz, director and head of analytics at the consulting firm ADVI Health in the Washington, D.C., metro area.

Typing in "MedStar Health hospital transparency," for example, likely points to the MedStar Washington Hospital Center's "price transparency disclosure" page, with a link to its full list of prices, as well as its separate list of 300 shoppable services.

By clicking on the list of shoppable services, consumers can download an Excel file. Searching it for "colonoscopy" pulls up several variations of the procedure, along with prices for different insurers, such as Aetna and Cigna, but a "not available" designation for the cash-only price. The file explains that MedStar does not have a standard cash price but makes determinations case by case.

Performing the same Google search for the nearby Inova health system results in less useful information.

Inova's website links to a long list of thousands of charges, which are not the discounts negotiated by insurers, and the list is not easily searchable. The website advises those who are not Inova patients or who would like to create their own estimate to log into the hospitals' "My Chart" system, but a search on that for "colonoscopy" failed to produce any data.

3) Third-party firms are trying to make searching prices simpler – and cash in

Because of the difficulty of navigating these websites — or locating the negotiated prices once there — some consumers may turn to sites like Turquoise. Another such firm is Health Cost Labs, which will have pricing information for 2,300 hospitals in its database when it goes live July 1.

Doing a similar search for "colonoscopy" on Turquoise shows the prices at MedStar by insurer, but the process is still complicated. First, a consumer must select the "health system" button from the website's menu of options, click on "surgical procedures," then click again on "digestive" to get to it.

There is no similar information for Inova because the hospital has not yet made its data accessible in a computer-friendly format, said Chris Severn, CEO of Turquoise.

Inova spokesperson Tracy Connell said in a written statement that the health system will create personalized estimates for patients and is "currently working to post information on negotiated prices and discounts on services."

Firms like Turquoise and Health Cost Labs aim to sell the data gathered from hospitals nationally to insurers, employers and others. In turn, those groups may use it in negotiations with hospitals over future prices. While that may drive down prices in areas with a lot of competition, it might do the opposite where there are few hospitals to choose from, or in situations where a hospital raises its prices to match competitors.

4) Consumers could use this data to negotiate, especially if they're paying cash

For consumers who go the distance and can find price data from their hospitals, it may prove helpful in certain situations:

• Patients who are paying cash or who have unmet deductibles may want to compare prices among hospitals to see if driving farther could save them money.
• Uninsured patients could ask the hospital for the cash price or attempt to negotiate for the lowest amount the facility accepts from insurers.
• Insured patients who get a bill for out-of-network care may find the information helpful because it could empower them to negotiate a discount off the hospitals' gross charges for that care.

While there's no guarantee of success, "if you are uninsured or out of network, you could point to some of those prices and say, 'That's what I want,'" says Barak Richman, a contract law expert and professor of law at Duke University School of Law.

But the data may not help insured patients who notice their prices are higher than those negotiated by other insurers.

In those cases, legal experts say the insured patients are unlikely to get a bill changed because they have a contract with that insurer, which has negotiated the price with their contracted hospitals.

"Legally, a contract is a contract," says Mark Hall, a health law professor at Wake Forest University.

Richman agrees.

"You can't say, 'Well, you charged that person less,'" he notes, but neither can they say they'll charge you more.

Getting the data, however, relies on the hospital having posted it.

5) Hospitals still aren't really on board

When it comes to compliance, "we're seeing the range of the spectrum," says Jeffrey Leibach, a partner at the consulting firm Guidehouse, which found earlier this year that about 60% of 1,000 hospitals surveyed had posted at least some data, but 30% had reported nothing at all.

Many in the hospital industry have long fought transparency efforts, even filing a lawsuit seeking to block the new rule. The suit was dismissed by a federal judge last year.

They argue the rule is unclear and overly burdensome. Additionally, hospitals haven't wanted their prices exposed, knowing that competitors might then adjust theirs, or health plans could demand lower rates. Conversely, lower-cost hospitals might decide to raise prices to match competitors.

The rule stems from requirements in the Affordable Care Act. The Obama administration required hospitals to post their chargemaster rates, which are less useful because they are generally inflated, hospital-set amounts that are almost never what is actually paid.

Insurers and hospitals are also bracing for next year when even more data is set to come online. Insurers will be required to post negotiated prices for medical care across a broader range of facilities, including clinics and doctors' offices.

In May, the Centers for Medicare & Medicaid Services sent letters to some of the hospitals that have not complied, giving them 90 days to do so or potentially face penalties, including a $300-a-day fine.

"A lot of members say until hospitals are fully compliant, our ability to use the data is limited," says Shawn Gremminger, director of health policy at the Purchaser Business Group on Health, a coalition of large employers.

His group and others have called for increasing the penalty for noncomplying hospitals from $300 a day to $300 a bed per day, so "the fine would be bigger as the hospital gets bigger," Gremminger says. "That's the kind of thing they take seriously."

Already, though, employers or insurers are eyeing the hospital data as leverage in negotiations, says Severn, Turquoise's CEO. Conversely, some employers may use it to fire their insurers if the rates they're paying are substantially more than those agreed to by other carriers.

"It will piss off anyone who is overpaying for health care, which happens for various reasons," he says.

KHN (Kaiser Health News) is a national newsroom that produces in-depth journalism about health issues. Together with Policy Analysis and Polling, KHN is one of the three major operating programs at KFF (Kaiser Family Foundation).

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

NASA released a workshop report on the UNBOUND-FEW workshop series, which was facilitated in part by Tribal Resilience Learning Network staff from the Alaska CASC. The workshop report reveals key recommendations for making data tools more useful for climate adaptation planning.

Dr. Jill Baron, Director of the Powell Center, will present a webinar on how to develop a strong proposal for Working Group on November 19th, 2024, at 11am MT/1pm ET.

A voter marks his ballot at a polling place on Nov. 3, 2020, in Richland, Iowa. A new poll finds ensuring access to voting is more important than tamping down voter fraud for most Americans.; Credit: Mario Tama/Getty Images

A majority of Americans believes ensuring access to voting is more important than rooting out fraud, the latest NPR/PBS NewsHour/Marist survey finds.

At the same time, there was broad agreement that people should have to show identification when they go to the polls.

Two-thirds of Americans also believe democracy is "under threat," but likely for very different reasons.

"For Democrats, Jan. 6 undoubtedly looms large," said Lee Miringoff, director of the Marist Institute for Public Opinion, referring to the violence and insurrection at the Capitol, "while, for Republicans, it's more likely about Trump and his claims of a rigged election."

Voting access vs. fraud

By a 56%-41% margin, survey respondents said making sure that everyone who wants to vote can do so is a bigger concern than making sure that no one who is ineligible votes.

But there were wide differences by political party and by race.

Among Democrats, almost 9 in 10 said access was more important, but almost three-quarters of Republicans said it was making sure no one votes who isn't eligible.

By race, a slim majority of whites said ensuring everyone who wants to vote can was most important, but almost two-thirds of nonwhites said so.

Photo ID is popular

Nearly 8 in 10 Americans said they believe voters should be required to show government-issued photo identification whenever they vote.

Majorities of Democrats, Republicans, independents, whites and nonwhites all said so. Democrats were far lower, though, with 57% believing photo ID should be required.

Biden holding steady

President Biden gets a 50% job approval rating, largely unchanged from last month. There is a sharp partisan divide with 9 in 10 Democrats approving, and more than 8 in 10 Republicans disapproving.

Biden continues to get his highest ratings when it comes to his handling of the coronavirus pandemic, and his economic approval is holding steady. But Americans have less confidence in his handling of foreign policy, especially immigration. His approval on immigration ticked up slightly from March when it was last measured in the poll.

By a 50%-43% margin, respondents said Biden had strengthened America's role on the world stage.

Americans are split about whether the country is headed in the right direction or not — 49% said it wasn't, 47% said it was. It's an improvement, however, from right after the Jan. 6 insurrection when three-quarters said the country was on the wrong track.

The tone has gotten worse in Washington since Biden was elected, 41% said, but that's better than the two-thirds who said so consistently during the Trump years.

Methodology: The poll of 1,115 U.S. adults was conducted using live telephone interviewers from June 22-29. Survey questions were available in English or Spanish. The full sample has a margin of error of plus or minus 3.7 percentage points with larger margins of error for smaller group subsets.

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