Results 131 to 140 of about 26,939 (224)

eEF1G Orchestrates Translation to Ensure Meiotic Progression in Transcriptionally Quiescent Spermatocytes

Advanced Science, EarlyView.
eEF1G supports translation elongation of meiotic mRNAs in transcriptionally quiescent leptotene and zygotene spermatocytes. Its depletion in germ cells causes meiotic arrest at the zygotene stage, with defective homologous synapsis and unstable recombination intermediates.
Jianze Xu, Yuwei Hu, Xukun Lu, Yuling Cai, Tongtong Li, Ming Gao, Jinlong Ma, Yuan Gao, Shangming Liu, Zi‐Jiang Chen, Jing Meng, Hongbin Liu, Xiaohua Jiang   +12 more
wiley   +1 more source

When Complex Models Fit the Wrong Mechanistic Complexity in Phylogenomic Analysis. [PDF]

J Mol Evol
Liu L, Liberles DA.
europepmc   +1 more source

Oxygen Vacancy‐Mediated Bi─O Unsaturation Coordination in BiOCl for Efficient Photocatalytic Water Purification

Advanced Science, EarlyView.
The incorporation of oxygen vacancies (OVs) presents a viable strategy for fine‐tuning the photocatalytic prowess of BiOCl. A reliable hydrogen annealing reduction technique is employed to precisely design OVs, thereby optimizing the light absorption capacity, as well as the efficiency of carrier migration and separation in BiOCl.
Shuaihao Ma, Jianglong Kong, Shidong Zhang, Wentao Li, Ling Yan, Deng Long, Xinglin Yu, Dawei Wang, Zheng Han, Sihan Ma, Lin Wang, Guang Ran   +11 more
wiley   +1 more source

A comparative study of simulation-based inference methods for epidemic models with identifiability considerations. [PDF]

PLoS Comput Biol
Jang G, Candan KS, Chowell G.
europepmc   +1 more source

Calcineurin‐Dependent Stress Adaptation Enables Caspofungin Heteroresistance Leading to Stable Resistance in Candida Glabrata

Advanced Science, EarlyView.
Caspofungin heteroresistance is prevalent in clinical Candida glabrata isolates and depends on calcineurin‐mediated stress adaptation. This transient phenotype serves as a reservoir for resistance evolution, enabling the emergence of stable resistant descendants under prolonged drug pressure.
Yanyu Su, Yi Li, Meng Xiao, Dan Guo, David S. Perlin, Erika Shor, Yingchun Xu, Yingxing Li   +7 more
wiley   +1 more source

Virtual cell: Current perspectives and future prospects. [PDF]

J Int Med Res
Li J, Zhang H, Zhang W, Li N, Zhao F, Shen G.   +5 more
europepmc   +1 more source

Exfoliated‐MoS2 Gradual Resistive Switching Devices as Artificial Synapses

Advanced Electronic Materials, EarlyView.
A vertical memristor based on untreated, exfoliated MoS2 is presented, revealing gradual resistive switching governed by Schottky barrier modulation at the MoS2/metal interface from the trapping/detrapping of charges. Furthermore, the device emulates synaptic‐like plasticity functions, including: potentiation, depression, and spike‐amplitude‐dependent ...
Deianira Fejzaj, Richard Schroedter, Thomas Mikolajick, André Heinzig   +3 more
wiley   +1 more source

Model‐Based Time‐Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays

Advanced Electronic Materials, EarlyView.
A novel model‐based time‐modulated write algorithm efficiently programs analog 1R memristive crossbar arrays by varying pulse duration at a fixed voltage. By leveraging a physics‐based compact model and a dynamic gain mechanism, this approach overcomes device nonlinearities and parasitic effects.
Richard Schroedter, Ahmet Samil Demirkol, Ioannis Messaris, Christian Bruchatz, Eter Mgeladze, Stefan Slesazeck, Thomas Mikolajick, Ronald Tetzlaff   +7 more
wiley   +1 more source

A multilevel hierarchical framework for quantification of experimental heterogeneity in population snapshot data. [PDF]

PLoS Comput Biol
Warne DJ, Zhu X, Steele TP, Johnston ST, Sisson SA, Faria M, Murphy RJ, Browning AP.   +7 more
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source