Results 121 to 130 of about 95,544 (266)

Understanding Uncertainty in Real-Life Scenarios through the Concepts of Probability and Bayesian Statistics

, 2022
Richa Vatsa, Sandeep K. Maurya
openaire   +1 more source

Dynamic Regulation of Endogenous Transcription Factor Hubs at Single‐Molecule Resolution

Advanced Science, EarlyView.
This study combines single‐molecule microscopy and genome editing to characterize the dynamic behaviors of endogenous oncofusion transcription factor EWS::FLI1 in Ewing sarcoma cells. EWS::FLI1 forms neomorphic hubs that dynamically assemble and dissolve. The hubs are regulated during mitosis, by RNA, and by specific chemicals.
Shawn Yoshida, Yanghao Zhong, Akiko Kumagai, William G. Dunphy, Shasha Chong   +4 more
wiley   +1 more source

Anhedonia and Anxious Arousal Are Associated With Distinct Expectations About the Statistics of a Volatile Environment. [PDF]

Biol Psychiatry Glob Open Sci
Duda JM, Cannon TD, Paskewitz S, Palmer WC, Suthaharan P, Kenney JG, Corlett PR, Joormann J.   +7 more
europepmc   +1 more source

Fundamentals of Thermal Transport and Energy Conversion in Ultra‐High Temperature Ceramics: From Microscale Mechanisms to Macroscopic Properties

Advanced Science, EarlyView.
This review critically examines thermal transport and radiative properties of ultra‐high temperature ceramics for hypersonic flight, advanced nuclear systems, and next‐generation energy conversion devices. It explores phonon–photon–electron interactions, microstructural engineering, thermoelectric conversion, and machine learning‐accelerated multiscale
Zhipeng Pei, Yue Li, Jiayu Xing, Yue Zhu, Ru Zhang, Huan Wu, Zihao Qin, Gang Pei, Man Li   +8 more
wiley   +1 more source

An edge-cloud collaborative fault diagnosis method for high-resistivity faults in low-voltage distribution networks considering metering uncertainties. [PDF]

Sci Rep
Cheng B, Sun S, Li S, Zhang Y, Li Y, Zhang Y.   +5 more
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Neural circuits encode prior knowledge of temporal statistics. [PDF]

Nat Neurosci
Koppen J, Klinkhamer I, Runge M, Bayones L, Narain D.   +4 more
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Response to a report published by the Office for Risk Assessment & Research of the Netherlands Food and Product Safety Authority on three EFSA quantitative pest risk assessments. [PDF]

EFSA J
EFSA Panel on Plant Health (PLH), Baptista P, Berlin A, Chatzivassiliou E, Cubero J, Cunniffe N, de la Peña E, Desneux N, Di Serio F, Filipiak A, Gonthier P, Hasiów-Jaroszewska B, Jactel H, Landa BB, Maistrello L, Makowski D, Milonas P, Papadopoulos NT, Potting R, Susi H, Thulke HH, Crotta M, Czwienczek E, Mosbach-Schulz O, Pautasso M, Stancanelli G, Vicent Civera A.   +26 more
europepmc   +1 more source

PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes

Advanced Science, EarlyView.
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li, Qizhe Zhang, Hanchen Chen, Kepeng Lin, Chengfang Luo, Mengying Yang, Wei Xu, Fan Yao, Jianbing Yan, Qing‐Yong Yang, Xuehai Hu   +10 more
wiley   +1 more source