An exhaustive search for missing symmetry was performed for 223 076 entries in the ICSD (2023-2 release). Approximately 0.65% of them can be described with higher symmetry than reported. Out of the identified noncentrosymmetric entries, ∼74% can be described by centrosymmetric space groups; this has implications for compatible physical properties. It is proposed that the information on the correct space group is included in the ICSD.

The asymmetric unit of the title compound, catena-poly[[[aqua­bis­(pyridine-κN)cadmium(II)]-μ2-4,4'-(1H-1,2,4-triazole-3,5-di­yl)dibenzoato-κ4O,O':O'',O'''] 4.5-hydrate], {[Cd(C16H9N3O4)(C5H5N)2(H2O)]·4.5H2O}n or {[Cd(bct)(py)2(H2O)]·4.5H2O}n (I), consists of a Cd2+ cation coordinated to one bct2– carboxyl­ate dianion, two mol­ecules of pyridine and a water mol­ecule as well as four and a half water mol­ecules of crystallization. The metal ion in I possesses a penta­gonal–bipyramidal environment with the four O atoms of the two bidentately coordinated carboxyl­ate groups and the N atom of a pyridine mol­ecule forming the O4N equatorial plane, while the N atom of another pyridine ligand and the O atom of the water mol­ecule occupy the axial positions. The bct2– bridging ligand connects two metal ions via its carb­oxy­lic groups, resulting in the formation of a parallel linear polymeric chain running along the [1overline{1}1] direction. The coordinated water mol­ecule of one chain forms a strong O—H⋯O hydrogen bond with the carboxyl­ate O atom of a neighboring chain, leading to the formation of double chains with a closest distance of 5.425 (7) Å between the cadmium ions belonging to different chains. Aromatic π–π stacking inter­actions between the benzene fragments of the anions as well as between the coordinated pyridine mol­ecules belonging to different chains results in the formation of sheets oriented parallel to the (overline{1}01) plane. As a result of hydrogen-bonding inter­actions involving the water mol­ecules of crystallization, the sheets are joined together in a three-dimensional network.

The structural characterization is reported of the supra­molecular complex between the tetra­quinoxaline-based cavitand 2,8,14,20-tetra­hexyl-6,10:12,16:18,22:24,4-O,O'-tetra­kis­(quinoxaline-2,3-di­yl)calix[4]resorcinarene (QxCav) with benzo­nitrile. The complex, of general formula C84H80N8O8·2C7H5N, crystallizes in the space group Poverline{1} with two independent mol­ecules in the asymmetric unit, displaying very similar geometrical parameters. For each complex, one of the benzo­nitrile mol­ecules is engulfed inside the cavity, while the other is located among the alkyl legs at the lower rim. The host and the guests mainly inter­act through weak C—H⋯π, C—H⋯N and dispersion inter­actions. These inter­actions help to consolidate the formation of supra­molecular chains running along the crystallographic b-axis direction.

The title compound, bis­[μ-2,2'-(4H-1,2,4-triazole-3,5-di­yl)di­acetato]­bis­[di­aqua­copper(II)] dihydrate, [Cu2(C6H5N3O4)2(H2O)4]·2H2O, is a dinuclear octa­hedral CuII triazole-based complex. The central copper atoms are hexa-coordinated by two nitro­gen atoms in the equatorial positions, two equatorial oxygen atoms of two carboxyl­ate substituents in position 3 and 5 of the 1,2,4-triazole ring, and two axial oxygen atoms of two water mol­ecules. Two additional solvent water mol­ecules are linked to the title mol­ecule by O—H⋯N and O⋯H—O hydrogen bonds. The crystal structure is built up from the parallel packing of discrete supra­molecular chains running along the a-axis direction. Hirshfeld surface analysis suggests that the most important contributions to the surface contacts are from H⋯O/O⋯H (53.5%), H⋯H (28.1%), O⋯O (6.3%) and H⋯C/C⋯H (6.2%) inter­actions. The crystal studied was twinned by a twofold rotation around [100].

A host–guest supra­molecular inclusion complex was obtained from the co-crystallization of A1/A2-bromo­but­oxy-hy­droxy difunctionalized pillar[5]arene (PilButBrOH) with adipo­nitrile (ADN), C47H53.18Br0.82O10·C6H8N2. The adipo­nitrile guest is stabilized within the electron-rich cavity of the pillar[5]arene host via multiple C—H⋯O and C—H⋯π inter­actions. Both functional groups on the macrocyclic rim are engaged in supra­molecular inter­actions with an adjacent inclusion complex via hydrogen-bonding (O—H⋯N or C—H⋯Br) inter­actions, resulting in the formation of a supra­molecular dimer in the crystal structure.

Through numerical optimization of cooling lengths and cooling groove positions for the first reflection mirror of a free-electron laser [OK?], the root mean square of the height error of the mirror's thermal deformation was minimized. The optimized mirror design effectively mitigated stray light and enhanced the peak intensity of the focus spot at the sample, thereby enhancing the optical performance of the high-heat-load mirror under high repetition rates at beamline FEL-II of the SHINE facility.

A slit-less wavelength-dispersive spectrometer design using a single-bounce monocapillary that aligns the sample on the Rowland circle, enhancing photon throughput and maintaining resolution. The compact design supports flexibility and reconfiguration in facilities without complex beamline infrastructure, significantly improving detection efficiency.

The International Tables Symmetry Database (https://symmdb.iucr.org/), which is part of International Tables for Crystallography, is a collection of individual databases of crystallographic space-group and point-group information with associated programs. The programs let the user access and in some cases interactively visualize the data, and some also allow new data to be calculated `on the fly'. Together these databases and programs expand upon and complement the symmetry information provided in International Tables for Crystallography Volume A, Space-Group Symmetry, and Volume A1, Symmetry Relations between Space Groups. The Symmetry Database allows users to learn about and explore the space and point groups, and facilitates the study of group–subgroup relations between space groups, with applications in determining crystal-structure relationships, in studying phase transitions and in domain-structure analysis. The use of the International Tables Symmetry Database in all these areas is demonstrated using several examples.

Serial crystallography experiments at synchrotron and X-ray free-electron laser (XFEL) sources are producing crystallographic data sets of ever-increasing volume. While these experiments have large data sets and high-frame-rate detectors (around 3520 frames per second), only a small percentage of the data are useful for downstream analysis. Thus, an efficient and real-time data classification pipeline is essential to differentiate reliably between useful and non-useful images, typically known as `hit' and `miss', respectively, and keep only hit images on disk for further analysis such as peak finding and indexing. While feature-point extraction is a key component of modern approaches to image classification, existing approaches require computationally expensive patch preprocessing to handle perspective distortion. This paper proposes a pipeline to categorize the data, consisting of a real-time feature extraction algorithm called modified and parallelized FAST (MP-FAST), an image descriptor and a machine learning classifier. For parallelizing the primary operations of the proposed pipeline, central processing units, graphics processing units and field-programmable gate arrays are implemented and their performances compared. Finally, MP-FAST-based image classification is evaluated using a multi-layer perceptron on various data sets, including both synthetic and experimental data. This approach demonstrates superior performance compared with other feature extractors and classifiers.

Processing of single-crystal X-ray diffraction data from area detectors can be separated into two steps. First, raw intensities are obtained by integration of the diffraction images, and then data correction and reduction are performed to determine structure-factor amplitudes and their uncertainties. The second step considers the diffraction geometry, sample illumination, decay, absorption and other effects. While absorption is only a minor effect in standard macromolecular crystallography (MX), it can become the largest source of uncertainty for experiments performed at long wavelengths. Current software packages for MX typically employ empirical models to correct for the effects of absorption, with the corrections determined through the procedure of minimizing the differences in intensities between symmetry-equivalent reflections; these models are well suited to capturing smoothly varying experimental effects. However, for very long wavelengths, empirical methods become an unreliable approach to model strong absorption effects with high fidelity. This problem is particularly acute when data multiplicity is low. This paper presents an analytical absorption correction strategy (implemented in new software AnACor) based on a volumetric model of the sample derived from X-ray tomography. Individual path lengths through the different sample materials for all reflections are determined by a ray-tracing method. Several approaches for absorption corrections (spherical harmonics correction, analytical absorption correction and a combination of the two) are compared for two samples, the membrane protein OmpK36 GD, measured at a wavelength of λ = 3.54 Å, and chlorite dismutase, measured at λ = 4.13 Å. Data set statistics, the peak heights in the anomalous difference Fourier maps and the success of experimental phasing are used to compare the results from the different absorption correction approaches. The strategies using the new analytical absorption correction are shown to be superior to the standard spherical harmonics corrections. While the improvements are modest in the 3.54 Å data, the analytical absorption correction outperforms spherical harmonics in the longer-wavelength data (λ = 4.13 Å), which is also reflected in the reduced amount of data being required for successful experimental phasing.

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.

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

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.

This article presents a Python-based program, DFT2FEFFIT, to regress theoretical extended X-ray absorption fine structure (EXAFS) spectra calculated from density functional theory structure models against experimental EXAFS spectra. To showcase its application, Ce-doped fluorapatite [Ca10(PO4)6F2] is revisited as a representative of a material difficult to analyze by conventional multi-shell least-squares fitting of EXAFS spectra. The software is open source and publicly available.

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.

The increasing structural complexity and downscaling of modern nanodevices require continuous development of structural characterization techniques that support R&D and manufacturing processes. This work explores the capability of laboratory characterization of periodic planar nanostructures using 3D X-ray standing waves as a promising method for reconstructing atomic profiles of planar nanostructures. The non-destructive nature of this metrology technique makes it highly versatile and particularly suitable for studying various types of samples. Moreover, it eliminates the need for additional sample preparation before use and can achieve sub-nanometre reconstruction resolution using widely available laboratory setups, as demonstrated on a diffractometer equipped with a microfocus X-ray tube with a copper anode.

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

This article presents a web-based framework to build a database without in-depth programming knowledge given a set of CIF dictionaries and a collection of CIFs. The framework consists of two main elements: the public site that displays the information contained in the CIFs in an ordered manner, and the restricted administrative site which defines how that information is stored, processed and, eventually, displayed. Thus, the web application allows users to easily explore, filter and access the data, download the original CIFs, and visualize the structures via JSmol. The modulated structures open database B-IncStrDB, the official International Union of Crystallography repository for this type of material and available through the Bilbao Crystallographic Server, has been re-implemented following the proposed framework.

The workshop titled `X-ray-based technologies in emerging fuel cell research', organized by Vivian Stojanoff from Brookhaven National Laboratory (BNL) and Narayanasami Sukumar from Cornell University/Advanced Photon Source-Northeastern Collaborative Access Team, was a notable segment of the National Synchrotron Light Source II and Center for Functional Nanomaterials Users' Meeting held 13–17 May 2024. This one-day event, on 13 May 2024, at BNL in New York, aimed to bring together researchers, beamline scientists, management and developers to propel fuel cell technology forward using model systems inspired by natural photosynthesis and redox enzymes. This summary encapsulates the key discussions, advancements and future implications of the workshop.

Presented here is an effective approach to desmearing slit ultra-small-angle neutron scattering (USANS) data, based on complementary small-angle neutron scattering (SANS) measurements, leading to a seamless merging of these data sets. The study focuses on the methodological aspects of desmearing USANS data, which can then be presented in the conventional manner of SANS, enabling a broader pool of data analysis methods. The key innovation lies in the use of smeared SANS data for extrapolating slit USANS, offering a self-consistent integrand function for desmearing with Lake's iterative method. The proposed approach is validated through experimental data on porous anodized aluminium oxide membranes, showcasing its applicability and benefits. The findings emphasize the importance of accurate desmearing for merging USANS and SANS data in the crossover q region, which is particularly crucial for complex scattering patterns.

Copy of the book “Beyond Baseball’s Color Barrier: The Story of African Americans in Major League Baseball, Past, Present, and Future” (Rowman & Littlefield, May 2021)

Most of us are familiar with the story of Jackie Robinson, the first Black player to play baseball in the Major Leagues, and while Jackie’s story is arguably the biggest chapter in the story of how baseball was integrated, there’s plenty more to the story that happened both before and after Jackie broke into the Majors. Author, sports historian and Santa Barbara City College Director of Athletics Rocco Constantino dives into this rich history in his new book “Beyond Baseball’s Color Barrier: The Story of African Americans in Major League Baseball, Past, Present, and Future” where he explores the contributions of major figures like Hank Aaron, Willie Mays and Satchel Paige as well as the lesser known ones of players like Vida Blue, Mudcat Grant and Dwight Gooden.

Today on AirTalk, Constantino joins Larry Mantle to explore the history of Black players in baseball, their fight for recognition and integration into the Major Leagues and the issues of race that persisted well beyond Jackie Robinson breaking baseball’s color barrier.

Guest:

Rocco Constantino, author of “Beyond Baseball’s Color Barrier: The Story of African Americans in Major League Baseball, Past, Present, and Future” (Rowman & Littlefield, May 2021); he is a sports historian and the director of athletics at Santa Barbara City College

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

Emerita Resources Corp. (EMO:TSX.V; EMOTF:OTCQB; LLJA:FSE) announces results from a metallurgical testing program at its wholly-owned Iberian Belt West (IBW) project in Spain. Read why one expert says the company is in "the right place to be."

Sonia Doe, pictured here, reached a settlement with the New Jersey Department of Corrections that will make it standard for the state to assign jail stays to a person based on their gender identity, not the sex assigned at birth.; Credit: /The ACLU New Jersey

For 18 months, Sonia Doe faced humiliating strip searches in front of male guards. Male prisoners exposed themselves to her. She faced sexual harassment, discrimination and physical threats from corrections officers and inmates alike.

Doe, who is transgender, has lived her life publicly as a woman since 2003. Yet, Doe — a pseudonym used for her lawsuit — was transported to four different men's prisons across New Jersey from March 2018 to August 2019.

It took a lawsuit filed that August for Doe to finally be transported to a woman's prison weeks later.

As part of the settlement for that lawsuit Tuesday, the New Jersey Department of Corrections will now make it customary for prisoners who identify as transgender, intersex or nonbinary to be assigned a jail stay in line with their gender identity — not with the sex they were assigned at birth.

Tuesday's news marks a major policy shift for the New Jersey Department of Corrections.

Research has shown that transgender inmates face particular danger while in prison, but few states offer them protections like these. Connecticut and California passed laws in 2018 and 2020, respectively, that require transgender inmates to be assigned prisons based on their gender identity. Rhode Island, New York City and Massachusetts also have housed inmates based on their gender identity.

"When I was forced to live in men's prisons, I was terrified I wouldn't make it out alive. Those memories still haunt me," Doe said in a statement announcing the settlement. "Though I still have nightmares about that time, it's a relief to know that as a result of my experience the NJDOC has adopted substantial policy changes so no person should be subjected to the horrors I survived."

Doe faced harassment, discrimination and abuse

According to court documents reviewed by NPR, Doe was placed in men's prisons in spite of the state's Department of Corrections knowing she was a transgender woman.

Clear documentation, including her driver's license, showed her gender identity, but Doe was still forced to remain in men's prisons. In addition to facing physical assaults and verbal and sexual harassment in prison, she was also forced to remain in solitary confinement for long stretches.

Corrections staff would refer to her as a man and address her using male pronouns, according to her complaint. She also was denied gender-appropriate clothing items and had difficulty receiving her hormone therapy regularly and on time.

The settlement forces agency-wide changes

The new policy will require staff to use appropriate pronouns, and prohibits harassment and discrimination based on gender identity.

As part of the settlement in the Doe case, all New Jersey state corrections officers, regardless of rank or facility, will have to sign an acknowledgement that they have read the policy. The agency also will provide targeted training on the changes.

The Department of Corrections also said it would guarantee gender-affirming undergarments, clothing, and other property for the inmates. Medical and mental health treatment, including gender-affirming care, also will be provided "as medically appropriate."

Inmates who are transgender also will be given the opportunity to shower separately and won't have to go through a strip searches or pat downs by an officer of the opposite sex.

"The settlement of this lawsuit puts in place systemic, far-reaching policy changes to recognize and respect the gender identity of people in prison," said Tess Borden, ACLU-NJ Staff Attorney. ACLU New Jersey represented Doe along with Robyn Gigl of Gluck Walrath LLP.

As part of the settlement, the New Jersey Department of Corrections have agreed to pay Doe $125,000 in damages and $45,000 in separate attorney's fees.

Longstanding issues at New Jersey prisons

Doe was not the only transgender inmate who has faced frightening treatment in New Jersey prisons.

Rae Rollins, a transgender woman, filed a lawsuit in March saying she was one of several inmates attacked by corrections officers earlier this year at the scandal-plagued Edna Mahan Correctional Facility for Women. In January, several women were severely beaten by corrections officers at that facility. Ten correctional police officers have been charged in connection to the alleged beatings of prisoners.

Rollins sought a transfer to a different women's prison after the incident, but was moved to a men's prison instead. Rollins has since been moved to an out-of-state prison, according to the state's records.

Earlier this month, New Jersey's embattled corrections commissioner announced his resignation from his post — a day after Gov. Phil Murphy said the state would close the Edna Mahan Correctional Facility.

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

Outdated food safety laws and a fragmented federal structure serve as barriers to improving protection of the nations food supply from contamination or other hazards, according to Ensuring Safe Food From Production to Consumption.

Good morning and welcome. There has been unprecedented interest in recent years about whether marijuana or its constituent compounds should be used as medicine. Since 1996, voters in seven states have approved the medical use of marijuana.

Despite being used for several decades, test-based incentives have not consistently generated positive effects on student achievement, says a new report from the National Research Council.

Efforts to convert civilian research reactors from weapon-grade highly enriched uranium (HEU) to low enriched uranium (LEU) fuels are taking significantly longer than anticipated, says a congressionally mandated report from the National Academies of Sciences, Engineering, and Medicine.

A new report from the National Academies of Sciences, Engineering, and Medicine says that Medicare’s value-based payment programs could take into account social risk factors – such as low socio-economic position, residence in disadvantaged neighborhoods, or race and ethnicity – but any proposal to do so will entail both advantages and disadvantages that need to be carefully considered.

A new report from the National Academies of Sciences, Engineering, and Medicine outlines how to examine whether specific levels of nutrients or other food substances (NOFSs) can ameliorate the risk of chronic disease and recommends ways to develop dietary reference intakes (DRI) based on chronic disease outcomes.

NASA, the National Oceanic and Atmospheric Administration (NOAA), and the United States Geological Survey (USGS) should implement a coordinated approach for their space-based environmental observations to further advance Earth science and applications for the next decade, says a new report by the National Academies of Sciences, Engineering, and Medicine.

For severe acute pain due to surgeries and medical conditions, there is a lack of guidance on the appropriate type, strength, and amount of opioid medication that clinicians should prescribe to patients, says a new report from the National Academies of Sciences, Engineering, and Medicine.

A new report from the National Academies of Sciences, Engineering, and Medicine recommends ways to make supply chains -- the systems that provide populations with critical goods and services, such as food and water, gasoline, and pharmaceuticals and medical supplies – more resilient in the face of hurricanes and other disasters, drawing upon lessons learned from the 2017 hurricanes Harvey, Irma, and Maria.

The goal of achieving universal health coverage by 2030 — one of the United Nations’ Sustainable Development Goals — necessitates that countries strengthen their food and drug regulatory systems as a whole, says a new report from the National Academies of Sciences, Engineering, and Medicine.

Although less invasive and more evidence-based approaches are available for temporomandibular disorders (TMDs) – a set of 30 disorders that cause pain or malfunction in the jaw joint and muscles of the jaw – some dentists continue to rely on aggressive or costly procedures as a first-line treatment, says a new report from the National Academies of Sciences, Engineering, and Medicine.

The Committee on Human Rights (CHR) of the U.S. National Academies of Sciences, Engineering, and Medicine fully endorses the Call for a Human Rights-Based Approach to COVID-19, issued by the Executive Committee of the International Human Rights Network of Academies and Scholarly Societies (IHRN).

Research and funding priorities tend to shift from one disaster to the next, which has resulted in a sparse evidence base and hampers the nation’s ability to respond to public health emergencies in the most effective way, says a new report from the National Academies of Sciences, Engineering, and Medicine.

A new report from the National Academies of Sciences, Engineering, and Medicine provides a blueprint and eight overarching strategies for improving health care for the approximately 100,000 people in the United States living with sickle cell disease (SCD).

The COVID-19 pandemic and heightened racial trauma have caused unprecedented disruptions in the lives of young people — bringing increased stress, anxiety, and depression. A new rapid expert consultation offers strategies for schools to support youth mental health as students return to the classroom.

The U.S. surgeon general has released a public advisory calling misinformation a “serious threat to public health.” The National Academies have been addressing misinformation in health and science on multiple fronts and are taking steps to help cultivate a fact- and evidence-based information environment.

Some of NASA’s robotic missions to Mars could be subject to less stringent bioburden requirements, which are designed to prevent the unintentional transport of Earth-based microbes, without interfering with searches for indigenous life on the planet.

The U.S. should undertake a new research program to better understand the potential risks and benefits of ocean-based interventions to remove or sequester carbon dioxide from the atmosphere and learn how these methods could be used to mitigate the impacts of climate change.

Experts discuss the future of ocean-based approaches to carbon dioxide removal — including the ethics of investigating proposed strategies, how research can respond to public concerns, and what we need to know to make informed climate decisions.

The Gulf Research Program (GRP) of the National Academies of Sciences, Engineering, and Medicine today announced awards totaling $1,090,463 to support six projects that engage underserved children and youth in place-based educational activities.

Among various sources of ocean oil pollution, oil in runoff — primarily from cities and vehicles — is the top source of oil entering the ocean, and is 20 times higher than it was 20 years ago. A new report recommends actions to better understand how oil reaches and affects ocean environments and to minimize oil pollution.

The Gulf Research Program (GRP) of the National Academies of Sciences, Engineering, and Medicine announced awards totaling $997,523 to support 10 projects that will engage communities in co-developing full proposals to advance nature-based solutions to mitigate climate-related hazards.

In a new NAE Perspective, authors Barbara B. Simons and Poorvi L. Vora argue that systematic manual examination of ballots, rigorous ballot accounting procedures, and public compliance audits would increase election transparency and are urgently needed.

As the cloud becomes an integral part of the business infrastructure, the need for a streamlined, accelerated approach to cloud adoption coupled with consistency in technology stacks is more pronounced than ever. Genie Yuan, Regional VP and Head of Field Engineering for APJ at Couchbase, shares key insights.

A government official said that during the deliberations one of the leaders wondered if AI "replaced or enhanced human skills" and suggested that it should be used in an ethical manner.

A study, by San Diego Zoo Global conservationists, released this week (Sept. 12, 2016) is shedding new light on how scientists evaluate polar bear diet and weight loss during their fasting season. On average, a polar bear loses up to 30 percent of its total body mass while fasting during the open-water season. Although some scientists previously believed land-based foods could supplement the bears' nutritional needs until the sea ice returns, a new study published in the scientific journal Physiological and Biochemical Zoology has revealed that access to terrestrial food is not sufficient to reduce the rate of body mass loss for fasting polar bears.

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According to RBI’s Bulletin for June, UPI transactions in May reached a record Rs 14.3 trillion in terms of value and 9.41 billion in volume. Unified Payments Interface (UPI) is expected to account for 90% of retail digital transactions volume in the next five years.