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Study on damage and failure stage identification of backfill driven by acoustic emission data
Cell-Surface Inter-Cytochrome Electron Transfer Limits Biofilm Electron Conduction Kinetics in <i>Shewanella oneidensis</i>
k-dependent modulation of intrinsic spin-orbit interaction in MoSe2 induced by proximity to amorphous Pb
Abstract Tuning the strength of spin-orbit interaction (SOI) is pivotal for developing next-generation spintronic and quantum devices. Proximity-induced SOI is a promising route toward this goal, but its experimental characterization with resolution in k -space using ARPES remains challenging. We advance previous ARPES investigations of proximity-induced SOI in graphene-based systems to transition-metal dichalcogenides (MoSe 2 ) in proximity to an amorphous overlayer of high- Z metal (Pb) whose disordered nature suppresses k -space mismatch at the interface. The use of soft-X-ray ARPES is instrumental for accessing MoSe 2 beneath the Pb layer. We introduce an approach to interpret the experimental data based on the identification of local SOI-derived band gaps—SOI hotspots—where the intrinsic SOI contribution, arising from the SOI field transfer from the overlayer to the host, is isolated from competing effects such as scalar (non-SOI) hybridization, interlayer interactions and Rashba-type splitting. We find that the proximity to Pb strongly enhances the intrinsic SOI as manifested by k -dependent increase of the band splitting in the SOI hotspots by up to several tens of meV. Tunability of this effect via Pb coverage provides versatile means for tailoring SOI to specific spintronic and quantum applications.
Heavy metal removal by hydrogel synthesized from rice bran/acrylic acid/sodium alginate
Correction to “DNA G-Quadruplex and i-Motif Structure Formation Is Interdependent in Human Cells”
Stable de novo protein design via joint conformational landscape and sequence optimization
Abstract Generative protein modeling provides advanced tools for designing diverse protein sequences and structures. However, accurately modeling the conformational landscape and designing sequences remain critical challenges: ensuring that the designed sequence reliably folds into the target structure as its most stable conformation, and optimizing the sequence for a given suboptimal fixed input structure. In this study, we present a systematic analysis of jointly optimizing sequence-to-structure and structure-to-sequence mappings. This approach enables us to find optimal solutions for modeling the conformational landscape. We validate our approach with large-scale protein stability measurements, demonstrating that joint optimization is superior for designing stable proteins using a joint model (TrRosetta and TrMRF) and for achieving high accuracy in stability prediction when jointly modeling (half-masked ESMFold pLDDT + ESM2 Pseudo-likelihood). We further investigate features of sequences generated from the joint model and find that they exhibit higher frequencies of hydrophilic interactions, which may help maintain both secondary structure registry and pairing-features not captured by structure-to-sequence modeling alone.
ToxIR: an accurate RNA-seq pipeline for high-precision toxin transcriptome profiling, validated in odontobuthus doriae venom glands
Rationalizing the d-Band Model from Theory to Practice in Catalyst Design
Timely deployment of best-in-class technologies to enable development and decarbonise construction
Abstract In the face of two apparently irreconcilable global challenges - housing a growing world population and reducing CO 2 emissions - we analyse the current, historic and forecast data on the use of construction materials. Today, cement-based materials make up around three quarters of materials used by mass. Historically, we see that cement-based materials use goes through a peak as Gross Domestic Product per capita increases and then falls. This peak of cement use has been particularly pronounced in China, but is now on a downwards path. From now to 2050, three quarters of construction materials demand will be in low- and middle-income countries. We estimate that adopting the best available construction technologies could reduce CO 2 emissions by about 73% compared to business as usual by 2050. In low- and middle-income countries, the housing and infrastructure needed to achieve the Sustainable Development Goals could be supplied while simultaneously reducing their per capita CO 2 emissions from structural materials.