The LiftPod^® is a personal portable lift that can be used as a ladder alternative.

The next generation of personal portable lifts – JLG^® LiftPod^® FT Series – is designed to increase job efficiency throughout your facility. Easily rolled through standard doorways and designed for one-person operation, it enables employees to reach their work and have 360-degree range of motion. Visit www.jlg.com/en/facilities-12 to learn more.

Click here for more information from JLG Industries, Inc.

Booth #1049

JLG® Compact Crawler boom lifts and the new LiftPod® FT Series are your new standard for safety and productivity. Access hard-to-reach spaces throughout your facility. The LiftPod provides up to 20 ft working height and the Compact Crawler boom up to 76 ft.

Click here for more information from JLG Industries, Inc.

Product information is provided by manufacturers. This publication has not independently tested manufacturers' products and cannot assume responsibility for the validity of product claims.

Introducing the new X500AJ and X600AJ JLG^® Compact Crawler boom lifts, featuring 500 lb. unrestricted working envelope, forklift pockets and lifting hooks. These versatile boom lifts have a tracked wheel carriage that can climb steps, while a narrow chassis allows access through standard doorways, gates and yards. Get a closer look at ASSE Booth #915.

Ingredion Incorporated has expanded its potato-based solutions with new ULTRA-TEX® 1311 modified potato starch. The waxy, instant starch offers food manufacturers a new way to create premium products with enhanced product appeal and cost savings potential.

Made from GLG’s proprietary high Reb M Dream SweetenerTM Stevia Leaf, this next generation stevia product line facilitates sugar replacement with better-tasting, low-calorie natural sweetening systems and solutions that provide a sugar-like sensory experience.

Consumers and global brands continue to push for new plant-based options. The crux of the challenge is to develop new fats and oils that meet three criteria: they can be produced at scale, provide unique consumer experience, and are less vulnerable to climate change.

When it comes to formulating sweet and salty snacks, a huge challenge is that of matching the vibrancy, versatility, and stability of synthetic food colorants. “The sensitivity of natural compounds to various stressors within the system causes them to be difficult to depend on and use effectively,” explains Ryan Erwin, food chemist and Innovation Manager for Fresca Foods, Inc.

Pilgrim’s mission to liven up mealtime has the brand going all-in on nuggets with exciting flavors and new innovations to satisfy America’s cravings.

The increasing global focus on healthy nutrition means that more and more consumers are searching for guilt-free indulgence. However, worldwide market research has shown that for many this remains a challenge. For example, one-fourth of US consumers, always or most of the time, feel guilty when snacking.

The new collection of the pre-workout candy flavors provides a combination of clinically-proven ingredients and flavor, dually fueling athletes' bodies ahead of their workout while also satisfying their sweet tooth.

With SOLUFORM®, these beloved snacks are easy to realize as it facilitates the development of gummy recipes with less sugar and added protein, all while preserving the unique gelatin texture and rich flavor release.

The addition of these two new items is building on Belgian Boys' core assortment of breakfast offerings: Belgian Waffles, Crepes, and Bite-Sized Pancakes.

Ideal any time of day for hydration, WELLNESS juices are formulated without added sugar and are light and refreshing while supporting immunity-boosting nutrition with 100% organic fruits and greens.

Designed to allow for an easier install process for hardwood flooring contractors by mitigating moisture on concrete and wooden subfloor systems, Bona launches Bona RollGuard.

Finding a fun way to discuss carbon footprints in manufacturing and personal lifestyle requires a delicate balance, but New Belgium Brewing has found a way to strike the right note.

Children's Geographies; 04/01/2022
(AN 155952641); ISSN: 14733285
Academic Search Premier

Children's Geographies; 04/01/2023
(AN 163915534); ISSN: 14733285
Academic Search Premier

BentallGreenOak paid $60 million for a Medley warehouse with a tenant locked in for the next two decades. An affiliate of BentallGreenOak, a New York-based real estate investment firm led by co-CEOs Sonny Kalsi and John Carrafiell, bought a cold storage facility at 7600 Northwest 82nd Place, records and real estate database Vizzda show. Food […]

The post Stabilized purchase: BentallGreenOak pays $60M for Medley warehouse with locked-in tenant appeared first on The Real Deal.

The post UK Survey on the Mental Health of LGBTQ+ Young People: 2024 was curated by information for practice.

The post Workplace Experiences of Latinx LGBTQ Employees was curated by information for practice.

The post 2024 United Kingdom Survey on the Mental Health of LGBTQ+ Young People was curated by information for practice.

Palliative care is becoming an essential component of healthcare, but there is insufficient research on how integration across different levels of care (micro, meso, and macro) is realized in practice. Without… Read the full article ›

The post Addressing integration in the organization of palliative care in belgium: a multilevel ecosystems approach using the analytic hierarchy process (AHP) method was curated by information for practice.

The post Derivation and validation of an algorithm to predict transitions from community to residential long-term care among persons with dementia—A retrospective cohort study was curated by information for practice.

Institutions are increasingly employing algorithms to provide performance feedback to individuals by tracking productivity, conducting performance appraisals, and developing improvement plans, compared to trad… Read the full article ›

The post Negative performance feedback from algorithms or humans? effect of medical researchers’ algorithm aversion on scientific misconduct was curated by information for practice.

Fashion and technology come together in the form of a 70s-inspired leather jacket by Coperni x Transparent that has to be heard to be believed.

Architects Antonia Frey-Vorhammer and Simon Vorhammer, of SIAN, design jewelry that mirrors their highly intricate + geometric projects.

Around the world, it can still be very hard to live as an openly gay man. Host Michel Martin learns more from two LGBT activists: Jamaican Maurice Tomlinson and Nigerian Bisi Alimi.

Events that occurred this week in Christian history include Bob Marley joining the Orthodox Church, the death of Billy Sunday, and Pope Leo X defending indulgences.

Oh, boy… Have to go back a spell to expound with clarity on this one. Those of you that follow the ‘beautiful game’ – as in futbol – the name Zindedine Zidane, should always conjure up some fine sentiments. At a bare minimum – ‘Zizou’ – as he was affectionately known to legions of fans spanning the earth, just saying his name would bring a pleasant smile. Algerian

Five people were hurt when an unmanned aerial vehicle crashed into a multi-story apartment building in Belgorod. The drone crashed into a building on Kashtanovaya Street. A large fire started in the building as a result of the explosion. According to Mash Telegram channel, there was a family staying in the apartment at the moment when the drone struck. Relatives are unable to contact anyone from the family.

Ilgar Hajiyev, a developer of Accord Smart residential complex, accused of numerous crimes, including real estate scam, is facing another criminal case in Russia. Defrauded homebuyers are collecting signatures for a petition in their defense. These people, who paid their money for apartments in the Moscow region, Odintsovo сity district, but never received keys to their new homes, demand Hajiyev should be delivered to Russia to stand trial for fraud. Only 4 apartment buildings out of 12 that should have been commissioned in 2020 are built - with many violations. "Numerous violations were committed during the construction: façades are falling off, walls and decoration of public areas are crumbling, cardboard doors are already broken," the petition reads. The billion worth scam Hajiyev fled overseas with investors' money in January 2019. It was not only clients, but also business partners, whom Hajiyev scammed, including creditors of SDI Group. Apart from Accord Smart housing complex, subsidiaries of SDI Group were also developers of the Pirogovskaya Riviera residential complex in Mytishchi, the Moscow Region. The complex is being finished by another developer. Hajiyev started building the Pirogovskaya Riviera complex together with businessman Isai Zakharyaev, who later left the project, but never received money for his share. The head of SDI Group owes more than one billion rubles to the former partner. Another one billion Hajiyev siphoned off from the project developer Comfort Invest.

Three-dimensional electron diffraction (3D-ED) is a powerful technique for crystallographic characterization of nanometre-sized crystals that are too small for X-ray diffraction. For accurate crystal structure refinement, however, it is important that the Bragg diffracted intensities are treated dynamically. Bloch wave simulations are often used in 3D-ED, but can be computationally expensive for large unit cell crystals due to the large number of diffracted beams. Proposed here is an alternative method, the `scattering cluster algorithm' (SCA), that replaces the eigen-decomposition operation in Bloch waves with a simpler matrix multiplication. The underlying principle of SCA is that the intensity of a given Bragg reflection is largely determined by intensity transfer (i.e. `scattering') from a cluster of neighbouring diffracted beams. However, the penalty for using matrix multiplication is that the sample must be divided into a series of thin slices and the diffracted beams calculated iteratively, similar to the multislice approach. Therefore, SCA is more suitable for thin specimens. The accuracy and speed of SCA are demonstrated on tri-iso­propyl silane (TIPS) pentacene and rubrene, two exemplar organic materials with large unit cells.

Molybdenum- or tungsten-dependent formate dehydrogenases have emerged as significant catalysts for the chemical reduction of CO2 to formate, with biotechnological applications envisaged in climate-change mitigation. The role of Met405 in the active site of Desulfovibrio vulgaris formate dehydrogenase AB (DvFdhAB) has remained elusive. However, its proximity to the metal site and the conformational change that it undergoes between the resting and active forms suggests a functional role. In this work, the M405S variant was engineered, which allowed the active-site geometry in the absence of methionine Sδ interactions with the metal site to be revealed and the role of Met405 in catalysis to be probed. This variant displayed reduced activity in both formate oxidation and CO2 reduction, together with an increased sensitivity to oxygen inactivation.

In X-ray diffraction imaging (XDI), electron density maps of a targeted particle are reconstructed computationally from the diffraction pattern alone using phase-retrieval (PR) algorithms. However, the PR calculations sometimes fail to yield realistic electron density maps that approximate the structure of the particle. This occurs due to the absence of structure amplitudes at and near the zero-scattering angle and the presence of Poisson noise in weak diffraction patterns. Consequently, the PR calculation becomes a bottleneck for XDI structure analyses. Here, a protocol to efficiently yield realistic maps is proposed. The protocol is based on the empirical observation that realistic maps tend to yield low similarity scores, as suggested in our prior study [Sekiguchi et al. (2017), J. Synchrotron Rad. 24, 1024–1038]. Among independently and concurrently executed PR calculations, the protocol modifies all maps using the electron-density maps exhibiting low similarity scores. This approach, along with a new protocol for estimating particle shape, improved the probability of obtaining realistic maps for diffraction patterns from various aggregates of colloidal gold particles, as compared with PR calculations performed without the protocol. Consequently, the protocol has the potential to reduce computational costs in PR calculations and enable efficient XDI structure analysis of non-crystalline particles using synchrotron X-rays and X-ray free-electron laser pulses.

Alignment of each optical element at a synchrotron beamline takes days, even weeks, for each experiment costing valuable beam time. Evolutionary algorithms (EAs), efficient heuristic search methods based on Darwinian evolution, can be utilized for multi-objective optimization problems in different application areas. In this study, the flux and spot size of a synchrotron beam are optimized for two different experimental setups including optical elements such as lenses and mirrors. Calculations were carried out with the X-ray Tracer beamline simulator using swarm intelligence (SI) algorithms and for comparison the same setups were optimized with EAs. The EAs and SI algorithms used in this study for two different experimental setups are the Genetic Algorithm (GA), Non-dominated Sorting Genetic Algorithm II (NSGA-II), Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC). While one of the algorithms optimizes the lens position, the other focuses on optimizing the focal distances of Kirkpatrick–Baez mirrors. First, mono-objective evolutionary algorithms were used and the spot size or flux values checked separately. After comparison of mono-objective algorithms, the multi-objective evolutionary algorithm NSGA-II was run for both objectives – minimum spot size and maximum flux. Every algorithm configuration was run several times for Monte Carlo simulations since these processes generate random solutions and the simulator also produces solutions that are stochastic. The results show that the PSO algorithm gives the best values over all setups.

Structural biology experiments benefit significantly from state-of-the-art synchrotron data collection. One can acquire macromolecular crystallography (MX) diffraction data on large-area photon-counting pixel-array detectors at framing rates exceeding 1000 frames per second, using 200 Gbps network connectivity, or higher when available. In extreme cases this represents a raw data throughput of about 25 GB s−1, which is nearly impossible to deliver at reasonable cost without compression. Our field has used lossless compression for decades to make such data collection manageable. Many MX beamlines are now fitted with DECTRIS Eiger detectors, all of which are delivered with optimized compression algorithms by default, and they perform well with current framing rates and typical diffraction data. However, better lossless compression algorithms have been developed and are now available to the research community. Here one of the latest and most promising lossless compression algorithms is investigated on a variety of diffraction data like those routinely acquired at state-of-the-art MX beamlines.

Multilayer gratings are increasingly popular optical elements at X-ray beamlines, as they can provide much higher photon flux in the tender X-ray range compared with traditional single-layer coated gratings. While there are several proprietary software tools that provide the functionality to simulate the efficiencies of such gratings, until now the X-ray community has lacked an open-source alternative. Here MLgrating is presented, a program for simulating the efficiencies of both multilayer gratings and single-layer coated gratings for X-ray applications. MLgrating is benchmarked by comparing its output with that of other software tools and plans are discussed for how the program could be extended in the future.

For protein crystals in which more than two thirds of the volume is occupied by solvent, the featureless nature of the solvent region often generates a constraint that is powerful enough to allow direct phasing of X-ray diffraction data. Practical implementation relies on the use of iterative projection algorithms with good global convergence properties to solve the difficult nonconvex phase-retrieval problem. In this paper, some aspects of phase retrieval using iterative projection algorithms are systematically explored, where the diffraction data and density-value distributions in the protein and solvent regions provide the sole constraints. The analysis is based on the addition of random error to the phases of previously determined protein crystal structures, followed by evaluation of the ability to recover the correct phase set as the distance from the solution increases. The properties of the difference-map (DM), relaxed–reflect–reflect (RRR) and relaxed averaged alternating reflectors (RAAR) algorithms are compared. All of these algorithms prove to be effective for crystallographic phase retrieval, and the useful ranges of the adjustable parameter which controls their behavior are established. When these algorithms converge to the solution, the algorithm trajectory becomes stationary; however, the density function continues to fluctuate significantly around its mean position. It is shown that averaging over the algorithm trajectory in the stationary region, following convergence, improves the density estimate, with this procedure outperforming previous approaches for phase or density refinement.

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.

The success of experimental phasing in macromolecular crystallography relies primarily on the accurate locations of heavy atoms bound to the target crystal. To improve the process of substructure determination, a modified phase-retrieval algorithm built on the framework of the relaxed alternating averaged reflection (RAAR) algorithm has been developed. Importantly, the proposed algorithm features a combination of the π-half phase perturbation for weak reflections and enforces the direct-method-based tangent formula for strong reflections in reciprocal space. The proposed algorithm is extensively demonstrated on a total of 100 single-wavelength anomalous diffraction (SAD) experimental datasets, comprising both protein and nucleic acid structures of different qualities. Compared with the standard RAAR algorithm, the modified phase-retrieval algorithm exhibits significantly improved effectiveness and accuracy in SAD substructure determination, highlighting the importance of additional constraints for algorithmic performance. Furthermore, the proposed algorithm can be performed without human intervention under most conditions owing to the self-adaptive property of the input parameters, thus making it convenient to be integrated into the structural determination pipeline. In conjunction with the IPCAS software suite, we demonstrated experimentally that automatic de novo structure determination is possible on the basis of our proposed algorithm.

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.

This review focuses on low-dose near-field X-ray speckle phase imaging in the differential mode introducing the existing algorithms with their specifications and comparing their performances under various experimental conditions.

Serial crystallography (SX) involves combining observations from a very large number of diffraction patterns coming from crystals in random orientations. To compile a complete data set, these patterns must be indexed (i.e. their orientation determined), integrated and merged. Introduced here is TORO (Torch-powered robust optimization) Indexer, a robust and adaptable indexing algorithm developed using the PyTorch framework. TORO is capable of operating on graphics processing units (GPUs), central processing units (CPUs) and other hardware accelerators supported by PyTorch, ensuring compatibility with a wide variety of computational setups. In tests, TORO outpaces existing solutions, indexing thousands of frames per second when running on GPUs, which positions it as an attractive candidate to produce real-time indexing and user feedback. The algorithm streamlines some of the ideas introduced by previous indexers like DIALS real-space grid search [Gildea, Waterman, Parkhurst, Axford, Sutton, Stuart, Sauter, Evans & Winter (2014). Acta Cryst. D70, 2652–2666] and XGandalf [Gevorkov, Yefanov, Barty, White, Mariani, Brehm, Tolstikova, Grigat & Chapman (2019). Acta Cryst. A75, 694–704] and refines them using faster and principled robust optimization techniques which result in a concise code base consisting of less than 500 lines. On the basis of evaluations across four proteins, TORO consistently matches, and in certain instances outperforms, established algorithms such as XGandalf and MOSFLM [Powell (1999). Acta Cryst. D55, 1690–1695], occasionally amplifying the quality of the consolidated data while achieving superior indexing speed. The inherent modularity of TORO and the versatility of PyTorch code bases facilitate its deployment into a wide array of architectures, software platforms and bespoke applications, highlighting its prospective significance in SX.

X-ray ptychography is a lensless imaging technique that visualizes the nano­structure of a thick specimen which cannot be observed with an electron microscope. It reconstructs a complex-valued refractive index of the specimen from observed diffraction patterns. This reconstruction problem is called phase retrieval (PR). For further improvement in the imaging capability, including expansion of the depth of field, various PR algorithms have been proposed. Since a high-quality PR method is built upon a base PR algorithm such as ePIE, developing a well performing base PR algorithm is important. This paper proposes an improved iterative algorithm named CRISP. It exploits subgradient projection which allows adaptive step size and can be expected to avoid yielding a poor image. The proposed algorithm was compared with ePIE, which is a simple and fast-convergence algorithm, and its modified algorithm, rPIE. The experiments confirmed that the proposed method improved the reconstruction performance for both simulation and real data.

Ptychography is a powerful computational imaging technique with microscopic imaging capability and adaptability to various specimens. To obtain an imaging result, it requires a phase-retrieval algorithm whose performance directly determines the imaging quality. Recently, deep neural network (DNN)-based phase retrieval has been proposed to improve the imaging quality from the ordinary model-based iterative algorithms. However, the DNN-based methods have some limitations because of the sensitivity to changes in experimental conditions and the difficulty of collecting enough measured specimen images for training the DNN. To overcome these limitations, a ptychographic phase-retrieval algorithm that combines model-based and DNN-based approaches is proposed. This method exploits a DNN-based denoiser to assist an iterative algorithm like ePIE in finding better reconstruction images. This combination of DNN and iterative algorithms allows the measurement model to be explicitly incorporated into the DNN-based approach, improving its robustness to changes in experimental conditions. Furthermore, to circumvent the difficulty of collecting the training data, it is proposed that the DNN-based denoiser be trained without using actual measured specimen images but using a formula-driven supervised approach that systemically generates synthetic images. In experiments using simulation based on a hard X-ray ptychographic measurement system, the imaging capability of the proposed method was evaluated by comparing it with ePIE and rPIE. These results demonstrated that the proposed method was able to reconstruct higher-spatial-resolution images with half the number of iterations required by ePIE and rPIE, even for data with low illumination intensity. Also, the proposed method was shown to be robust to its hyperparameters. In addition, the proposed method was applied to ptychographic datasets of a Simens star chart and ink toner particles measured at SPring-8 BL24XU, which confirmed that it can successfully reconstruct images from measurement scans with a lower overlap ratio of the illumination regions than is required by ePIE and rPIE.

Soft X-ray spectroscopy is an important technique for measuring the fundamental properties of materials. However, for measurements of samples in the sub-millimetre range, many experimental setups show limitations. Position drifts on the order of hundreds of micrometres during thermal stabilization of the system can last for hours of expensive beam time. To compensate for drifts, sample tracking and feedback systems must be used. However, in complex sample environments where sample access is very limited, many existing solutions cannot be applied. In this work, we apply a robust computer vision algorithm to automatically track and readjust the sample position in the dozens of micrometres range. Our approach is applied in a complex sample environment, where the sample is in an ultra-high vacuum chamber, surrounded by cooled thermal shields to reach sample temperatures down to 2.5 K and in the center of a superconducting split coil. Our implementation allows sample-position tracking and adjustment in the vertical direction since this is the dimension where drifts occur during sample temperature change in our setup. The approach can be easily extended to 2D. The algorithm enables a factor of ten improvement in the overlap of a series of X-ray absorption spectra in a sample with a vertical size down to 70 µm. This solution can be used in a variety of experimental stations, where optical access is available and sample access by other means is reduced.

Autonomous methods to align beamlines can decrease the amount of time spent on diagnostics, and also uncover better global optima leading to better beam quality. The alignment of these beamlines is a high-dimensional expensive-to-sample optimization problem involving the simultaneous treatment of many optical elements with correlated and nonlinear dynamics. Bayesian optimization is a strategy of efficient global optimization that has proved successful in similar regimes in a wide variety of beamline alignment applications, though it has typically been implemented for particular beamlines and optimization tasks. In this paper, we present a basic formulation of Bayesian inference and Gaussian process models as they relate to multi-objective Bayesian optimization, as well as the practical challenges presented by beamline alignment. We show that the same general implementation of Bayesian optimization with special consideration for beamline alignment can quickly learn the dynamics of particular beamlines in an online fashion through hyperparameter fitting with no prior information. We present the implementation of a concise software framework for beamline alignment and test it on four different optimization problems for experiments on X-ray beamlines at the National Synchrotron Light Source II and the Advanced Light Source, and an electron beam at the Accelerator Test Facility, along with benchmarking on a simulated digital twin. We discuss new applications of the framework, and the potential for a unified approach to beamline alignment at synchrotron facilities.

The general equation of the δ direct methods is established and applied in its difference form to the definition of one of the two residuals that constitute the SMAR phasing algorithm. These two residuals use the absolute value of ρ and/or the zero conversion of negative Fourier ripples (≥50% of the unit-cell volume). Alternatively, when solved for ρ, the general equation provides a simple derivation of the already known δM tangent formula.

Circus of Books storefront.; Credit: Netflix/Circus Of Books (2020)

The documentary “Circus of Books”  tells the story of two book stores, one in West Hollywood and the other in Silver Lake, operated by Karen and Barry Mason, who became accidental book sellers. They also became real pillars of the LGBTQ communties. Rachel Mason is the daughter of the masons and she’s also the filmmaker. Larry talked with Rachel about “Circus of Books” when it was first released on Netflix. Today on FilmWeek, we excerpt a portion of that conversation. 

This conversation aired during FilmWeek’s Saturday broadcast. 

Guest: 

Rachel Mason, director of the Netflix documentary ‘Circus of Books’ and daughter of Circus of Books owners Karen and Barry Mason; she tweets @RachelMasonArt

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