Explore the vast range of titles available.

Copper hydrides are important hydrogenation catalysts, but their poor stability hinders the practical applications. Ligand engineering is an effective strategy to tackle this issue. An amidinate ligand, N,N′-Di(5-trifluoromethyl-2-pyridyl)formamidinate (Tf-dpf) with four N-donors has been applied as a protecting agent in the synthesis of stable copper hydride clusters: Cu 11 H 3 (Tf-dpf) 6 (OAc) 2 ( Cu 11 ) with three interfacial μ 5 -H and [Cu 12 H 3 (Tf-dpf) 6 (OAc) 2 ]·OAc ( Cu 12 ) with three interstitial μ 6 -H. A solvent-triggered reversible interconversion between Cu 11 and Cu 12 has been observed thanks to the flexibility of Tf-dpf. Cu 11 shows high activity in the reduction of 4-nitrophenol to 4-aminophenol, while Cu 12 displays very low activity. Deuteration experiments prove that the type of hydride is the key in dictating the catalytic activity, for the interfacial μ 5 -H species in Cu 11 are involved in the catalytic cycle whereas the interstitial μ 6 -H species in Cu 12 are not. This work highlights the role of hydrides with regard to catalytic hydrogenation activity. Copper hydrides have been studied for their exciting structural chemistry and applications in hydrogenation catalysis. Here, the authors uncover the role of the amidinate ligand in yielding two closely related copper hydride clusters with quite different catalytic hydrogenation activity.

Surface organic ligands are critical in determining the formation and properties of atomically precise metal nanoclusters. In contrast to the conventionally used thiolate, phosphine and alkynyl ligands, the amine ligand dipyridylamine is applied here as a protecting agent in the synthesis of atomically precise metal nanoclusters. We report two homoleptic amido-protected Ag nanoclusters as examples of all-nitrogen-donor-protected metal nanoclusters: [Ag 21 (dpa) 12 ]SbF 6 ( Ag 21 ) and [Ag 22 (dpa) 12 ](SbF 6 ) 2 ( Ag 22 ) (dpa = dipyridylamido). Single crystal X-ray structural analysis reveals that both clusters consist of a centered-icosahedron Ag 13 core wrapped by 12 dpa ligands. The flexible arrangement of the N donors in dpa facilitates the solvent-triggered reversible interconversion between Ag 21 and Ag 22 due to their very different solubility. The successful use of dpa in the synthesis of well-defined silver nanoclusters may motivate more studies on metal nanoclusters protected by amido type ligands. Noble metal nanoclusters are commonly protected by thiolate, phosphine, or alkynyl ligands. Here, the authors synthesize two homoleptic amido-protected silver clusters, whose structures interconvert easily with changes of solvent due to the coordination flexibility and diverse binding modes of the nitrogen-donor ligands.

Background The All of Us (AoU) Research Program provides a comprehensive genomic dataset to accelerate health research and medical breakthroughs. Despite its potential, researchers face significant challenges, including high costs and inefficiencies associated with data extraction and analysis. AoUPRS addresses these challenges by offering a versatile and cost-effective tool for calculating polygenic risk scores (PRS), enabling both experienced and novice researchers to leverage the AoU dataset for large-scale genomic discoveries. Methods We evaluated three PRS models from the PGS Catalog (coronary artery disease, atrial fibrillation, and type 2 diabetes) using two distinct approaches in the Hail framework: MatrixTable (MT), a dense representation, and Variant Dataset (VDS), a sparse representation optimized for large-scale genomic data. Computational cost, resource usage, and processing time were compared. To assess the similarity of PRS performance between these two approaches, we compared odds ratios (ORs) and area under the curve (AUC). Lin’s concordance correlation coefficient (CCC) was also computed to quantify agreement between PRS scores generated by MT and VDS. Results The VDS approach reduced computational costs by up to 99.51% (e.g., from $32 to $0.036 for a 51-SNP score) while maintaining PRS estimates that were highly similar to those obtained using the MT approach. Across all three PRS models, AUC comparisons showed minimal differences between MT and VDS, indicating that both approaches yield consistent PRS performance. Agreement between PRS scores calculated by both approaches was further supported by Lin’s CCC values ranging from 0.9199 to 0.9944, confirming strong concordance. Empirical cumulative distribution function (ECDF) plots further illustrated the near-identical distribution of PRS values across methods. Conclusions AoUPRS enables efficient and cost-effective PRS computation within AoU, providing substantial cost savings while maintaining highly consistent PRS estimates. These findings support the use of AoUPRS for large-scale genomic risk assessment, making the AoU dataset more accessible and practical for diverse research applications. The tool’s open-source availability on GitHub, coupled with detailed documentation and tutorials, ensures accessibility and ease of use for the scientific community.

Accidents are continuously reported for autonomous driving vehicles including those with advanced sensors installed. Some of accidents are usually caused by bad weather, poor lighting conditions and non-line-of-sight obstacles. Cellular Vehicle-to-Everything (C-V2X) radio technology can significantly improve those weak spots for autonomous driving. This paper describes one of the C-V2X system solutions: Vulnerable Road User Collision Warning (VRUCW) for autonomous driving. The paper provides the system architecture, design logic, network topology, message flow, artificial intelligence (AI) and network security feature. As a reference it also includes a commercial project with its test results.

This paper studies the temperature effects on device aging, particularly the random telegraph noise (RTN) degradation and the threshold voltage (Vt) shift in a stacked CMOS image sensor (CIS) caused by hot-carrier stress (HCS). Measurements indicate that both are worse when stressed at lower temperatures. Further, the RTN traps generated by HCS can be deactivated effectively by a subsequent high-temperature annealing at 240 °C for up to 360 min. In contrast, the RTN traps in chips not stressed by hot carriers are essentially unaffected by annealing at the same temperature for the same amount of time. This suggests that the physical structure of the RTN traps caused by process-induced damage (PID) without HCS might be different from that generated by HCS. The exact microscopic nature of the differences between these two kinds of RTN traps is not clear and requires further investigation. This work also suggests that RTN degradation could be a useful indicator for device aging for reliability testing and modeling.

Saxifragaceae, a family of over 600 species and approximately 30 genera of herbaceous perennials, is well-known for intergeneric hybridization. Of the main lineages in this family, the group represents a valuable model for the analysis of plastid capture and its impact on phylogeny reconstruction. In this study, we investigated plastome evolution across the family, reconstructed the phylogeny of the group and examined putative plastid capture between and . Seven species (11 individuals) representing , as well as and , were selected for genome skimming. We assembled the plastomes, and then compared these to six others published for Saxifragaceae; the plastomes were found to be highly similar in overall size, structure, gene order and content. Moreover, 15 was lost due to pseudogenization and 2 lost its only intron for all the analyzed plastomes. Comparative plastome analysis revealed that size variations of the plastomes are purely ascribed to the length differences of LSC, SSC, and IRs regions. Using nuclear ITS + ETS and the complete plastome, we fully resolved the species relationships of , finding that the genus is monophyletic and the Asian species is most closely related to the western North American species. However, the position of the species was highly incongruent between nuclear and plastid data. Comparisons of nuclear and plastid phylogenies revealed that multiple plastid capture events have occurred between and , through putative ancient hybridization. Moreover, we developed numerous molecular markers for (e.g., plastid hotspot and polymorphic nuclear SSRs), which will be useful for future studies on the population genetics and phylogeography of this disjunct genus.

Chrysomycin A (Chr-A), an antibiotic from Streptomyces, is reported to have anti-tumor and anti-tuberculous activities, but its anti-glioblastoma activity and possible mechanism are not clear. Therefore, the current study was to investigate the mechanism of Chr-A against glioblastoma using U251 and U87-MG human cells. CCK8 assays, EdU-DNA synthesis assays and LDH assays were carried out to detect cell viability, proliferation and cytotoxicity of U251 and U87-MG cells, respectively. Transwell assays were performed to detect the invasion and migration abilities of glioblastoma cells. Western blot was used to validate the potential proteins. Chr-A treatment significantly inhibited the growth of glioblastoma cells and weakened the ability of cell migration and invasion by down regulating the expression of slug, MMP2 and MMP9. Furthermore, Chr-A also down regulated Akt, p-Akt, GSK-3β, p-GSK-3β and their downstream proteins, such as β-catenin and c-Myc in human glioblastoma cells. In conclusion, Chr-A may inhibit the proliferation, migration and invasion of glioblastoma cells through the Akt/GSK-3β/β-catenin signaling pathway.

A bstract Weakly interacting massive particles (WIMPs) with electroweak charges, such as the wino and the Higgsino, stand out as natural candidates for dark matter in the universe. In this paper, we study the search for WIMPs at future multi-TeV μ + μ + colliders. We investigate both the direct production search of WIMPs through the mono-muon channel and the indirect search through quantum corrections in elastic μ + μ + Møller scattering. We find that the indirect search has an advantage over the direct search with sufficient luminosities, O ab − 1 , and low systematic uncertainties, ≲ 0 . 3 %. This advantage arises due to the weaker mass dependence observed in the indirect search in comparison to direct production methods. The advantage is further enhanced if the initial muon beams are polarized. Specifically, we demonstrate that the indirect search method can detect the thermal mass target for the wino and the Higgsino for s = 6 TeV and 2 TeV (with s being the center of mass energy), respectively, with 10 ab − 1 , an 80 % polarized beam and an accuracy of 0 . 1 %. Our findings illuminate the potential of future high-energy μ + μ + colliders in advancing our understanding of dark matter.

Neuroinflammation characterized by microglia activation is the mechanism of the occurrence and development of various central nervous system diseases. ST2825, as a peptide-mimetic MyD88 homodimerization inhibitor, has been identified as crucial molecule with an anti-inflammatory role in several immune cells, especially microglia. The purpose of the study was to investigate the anti-neuroinflammatory effects and the possible mechanism of ST2825. Methods: Lipopolysaccharide (LPS) was used to stimulate neuroinflammation in male BALB/c mice and BV2 microglia cells. The NO level was determined by Griess Reagents. The levels of pro-inflammatory cytokines and chemokines were determined by ELISA. The expressions of inflammatory proteins were determined by real-time PCR and Western blotting analysis. The level of ROS was detected by DCFH-DA staining. Results: In vivo, the improved levels of LPS-induced pro-inflammatory factors, including TNF-α, IL-6, IL-1β, MCP-1 and ICAM-1 in the cortex and hippocampus, were reduced after ST2825 treatment. In vitro, the levels of LPS-induced pro-inflammatory factors, including NO, TNF-α, IL-6, IL-1β, MCP-1, iNOS, COX2 and ROS, were remarkably decreased after ST2825 treatment. Further research found that the mechanism of its anti-neuroinflammatory effects appeared to be associated with inhibition of NF-κB activation and down-regulation of the NLRP3/cleaved caspase-1 signaling pathway. Conclusions: The current findings provide new insights into the activity and molecular mechanism of ST2825 for the treatment of neuroinflammation.