Results 111 to 120 of about 11,831 (265)

Temporal and Cell‐Specific Regulation of Synaptic Homeostasis by the Chromatin Remodeler Chd1

Advanced Science, EarlyView.
Chd1, the Drosophila homologue of mammalian CHD2 ‐ a gene linked to autism, epilepsy, and intellectual disability, is required for synaptic homeostatic plasticity. Chd1 in glia is necessary for the rapid induction of synaptic homeostasis, whereas Chd1 in motoneurons, muscle, and glia is critical for long‐term maintenance.
Danielle T. Morency, Tao Cui, Yimei Cai, Chloe Lok, Rachel E. Nokku, Ruoxian Huang, Grace L. Chu, Yumeng Xie, Saleem W. Abu‐Tayeh, Kaikai He, Chengjie Qiu, Junyi Wang, Paxton M. Paganelli, Ting Wang, Gabrielle Williams, Sreejith Nair, Huadong Pei, Dion K. Dickman, Stefano Vicini, Tingting Wang   +19 more
wiley   +1 more source

A two-stage stochastic programming model for phlebotomist scheduling in hospital laboratories. [PDF]

Health Syst (Basingstoke), 2018
Leaven L, Qu X.
europepmc   +1 more source

Cellular Snowballing: Cell Adhesion and Migration Drive the Self‐Assembly of Cell‐Microgel Biohybrid Spheroids

Advanced Science, EarlyView.
A new class of biohybrid spheroids is engineered through the self‐assembly of adherent cells and extracellular matrix‐mimetic hydrogel microparticles (microgels). By mimicking a snowballing effect, this approach enables scalable formation of porous, millimeter‐scale spheroids with enhanced cell viability and molecular diffusion.
Zaman Ataie, Sina Kheirabadi, Changhao Li, Aneesh Risbud, Aswathy Sebastian, Istvan Albert, Sulin Zhang, Amir Sheikhi   +7 more
wiley   +1 more source

A Stochastic Conjugate Subgradient Algorithm for Two-stage Stochastic Programming

Stochastic Optimization is a cornerstone of operations research, providing a framework to solve optimization problems under uncertainty. Despite the development of numerous algorithms to tackle these problems, several persistent challenges remain, including: (i) selecting an appropriate sample size, (ii) determining an effective search direction, and ...
Zhang, Di, Sen, Suvrajeet
openaire   +2 more sources

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

An Interval Two-Stage Stochastic Programming Model for Flood Resources Allocation under Ecological Benefits as a Constraint Combined with Ecological Compensation Concept. [PDF]

Int J Environ Res Public Health, 2019
Qiu Y, Liu Y, Liu Y, Chen Y, Li Y.
europepmc   +1 more source

Integrated Single‐Cell and Spatial Transcriptomics Reveal Cell‐Type‐Specific Immune Regulatory Networks in Maize Responding to Southern Corn Rust

Advanced Science, EarlyView.
By integrating single‐nuclei and spatial transcriptomics, this study presents a stereoscopic landscape of maize leaf to Puccinia polysora infection. Epidermal and mesophyll cells initiate primary defenses via RLPs/RLKs and jasmonic acid signaling. Cell‐cell communication analyses further reveal the underlying the dynamics of the underlying immune ...
Qiongqiong Wang, Xinyan Sun, Yingchao Sun, Zeqiang Cheng, Zixiang Cheng, Shengbo Han, Ying Feng, Wenbo Yang, Huimin Li, Meichen Zhu, Xiaoling Wu, Jinghua Zhang, Jihua Tang, Honglian Li, Yanyong Cao, Canxing Duan, Yan Shi   +16 more
wiley   +1 more source

A production planning model considering uncertain demand using two-stage stochastic programming in a fresh vegetable supply chain context. [PDF]

Springerplus, 2016
Mateo J, Pla LM, Solsona F, Pagès A.
europepmc   +1 more source

A two-stage stochastic integer programming approach

, 2005
This research has been partially support by the grant Grupo consolidado de alto rendimiento 9/UPV 00038.321-13631/2001 from UPV, the project MEC2001-0636 from the DGCIT, the Researchers’ Education grant program 2000 from Gobierno Vasco, and the grant GRUPOS79/04 from the Generalitat Valenciana, Spain.
Merino Maestre, María, Pérez Sainz de Rozas, Gloria, Escudero Bueno, Laureano F., Garín Martín, María Araceli   +3 more
openaire   +1 more source