Results 111 to 120 of about 26,999 (189)

Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications

Advanced Science, EarlyView.
We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo, Hyun‐Jae Lee, Sungwoo Kang, Jung‐Hoon Lee   +3 more
wiley   +1 more source

Implementing Bogoliubov Transformations Beyond the Shale-Stinespring Condition. [PDF]

J Stat Phys
Lill S.
europepmc   +1 more source

Data‐Driven Design and Fabrication of Heat‐Resistant, Ultrastrong, Lightweight Aluminum‐Based Entropy Alloy by Additive Manufacturing

Advanced Science, EarlyView.
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang, Chao Ding, Danyang Zhou, Chenjin Xu, Swee Leong Sing, Jianzhong Jiang, Huibin Wu   +6 more
wiley   +1 more source

Convergent morphological and genetic patterns delimit Evolutionary Significant Units in endangered Aipysurus sea snakes. [PDF]

BMC Ecol Evol
Nankivell JH, Sanders KL.
europepmc   +1 more source

A Rational Optimization Approach for the Development of a Multiplexed Lateral Flow Immunoassay: Detection of Nonepithelial Ovarian Cancer Markers in Human Serum

Advanced Science, EarlyView.
This study outlines the developmental pipeline of a multiplexed nanozyme‐based lateral flow immunoassay for the purpose of ovarian germ cell tumor detection. It demonstrates the application of a design of experiments optimization approach for nanozyme probe conjugate development.
Aida Abdelwahed, Carl E. Eskildsen, Luca Panariello, André Shamsabadi, Christy J. Sadler, Edmund H. Wilkes, Federico Galvanin, Yuxi Cheng, Sara Carvalho, Srdjan Saso, Molly M. Stevens   +10 more
wiley   +1 more source

Activity-Cloud Organization of Shine-Dalgarno Sequences to Guide Translation Engineering in <i>Escherichia coli</i>. [PDF]

ACS Omega
Zach P, Boada Y, Pico J, Vignoni A.
europepmc   +1 more source

Deciphering the Evolution Pattern of Structural Variations Overlapped With Repetitive Sequence During Cattle Evolution

Advanced Science, EarlyView.
The authors complement bovine pan‐SV with massive novel structural variations (SVs) identified through long‐read sequencing of 83 globally distributed cattle breeds. Repetitive sequence‐mediated SVs (rep‐SV) exhibit distinct dynamic patterns throughout cattle sub‐speciation and/or domestication processes, including uneven distribution between chr‐X and
Zhifan Guo, Jinxiu Li, Adeniyi C. Adeola, Xueyan Jiang, Juntao Ma, Jian Xiao, Dexiang Hu, Kaixing Qu, Haihong Wu, Junren Chen, Zhanxing He, Tingting Yin, Ali Esmailizadeh, Jing Luo, Olivier Hanotte, Ya‐Ping Zhang, Yan Li   +16 more
wiley   +1 more source

Convergent pairs of highly transcribed genes restrict chromatin looping in Dictyostelium discoideum. [PDF]

Nucleic Acids Res
Zhegalova IV, Ulianov SV, Galitsyna AA, Pletenev IA, Tsoy OV, Luzhin AV, Vasiluev PA, Bulavko ES, Ivankov DN, Gavrilov AA, Khrameeva EE, Gelfand MS, Razin SV.   +12 more
europepmc   +1 more source

Illuminating Mitochondrial RNA G‐Quadruplexes as Structural Brakes on RNA Granule Assembly and OXPHOS

Advanced Science, EarlyView.
A new fluorescent probe, MitoQUMA, brings mitochondrial RNA G‐quadruplexes (mtRNA G4s) into view in live cells. This tool reveals that excessive mtRNA G4 formation halts mitochondrial RNA granule (MRG) assembly, opposite to the phase‐separation role of cytoplasmic RNA G4s. A chemical genetic screen further identifies a Wnt/β‐catenin–GRSF1–mtRNA G4 axis
Gui‐Xue Tang, Jia‐Tong Yan, Mao‐Lin Li, Cui Zhou, Jian Wang, Shuo‐Bin Chen, Zhi‐Shu Huang, Jia‐Heng Tan   +7 more
wiley   +1 more source

The flow experience: Polish adaptation and validation of the psychological flow scale (PFS). [PDF]

PLoS One
Wojtasiński M, Tużnik P, Jankowski T, Leoni S, Chwaszcz M, Miszczyszyn D, Banasik M, Augustynowicz P.   +7 more
europepmc   +1 more source