Results 71 to 80 of about 9,338 (286)

Single‐Field Evolution Rule Governs the Dynamics of Representational Drift in Mouse Hippocampal Dorsal CA1 Region

Advanced Science, EarlyView.
Long‐term hippocampal place‐code dynamics are investigated using calcium imaging across weeks of maze navigation. Analyses reveal a novelty‐irrelevant Single‐Field Evolution Rule (SFER), where active fields promote persistence and inactive fields decline.
Cong Chen, Shuyang Yao, Sihui Cheng, Jiayi Tian, Ang Li, Yusen Yan, Xiang Zhang, Yuanjing Liu, Yumeng Wang, Qichen Cao, Chenglin Miao   +10 more
wiley   +1 more source

Comprehensive Profiling of N6‐methyladnosine (m6A) Readouts Reveals Novel m6A Readers That Regulate Human Embryonic Stem Cell Differentiation

Advanced Science, EarlyView.
This research deciphers the m6A transcriptome by profiling its sites and functional readout effects: from mRNA stability, translation to alternative splicing, across five different cell types. Machine learning model identifies novel m6A‐binding proteins DDX6 and FXR2 and novel m6A reader proteins FUBP3 and L1TD1.
Zhou Huang, Rucong Liu, Zibaguli Wubulikasimu, Wanqing Zhao, Jiaqi Huang, Jiaxuan Wang, Tianyuan Zhang, Rui Fan, Wei Kong, Qinghua Cui, Yang Li, Yuan Zhou   +11 more
wiley   +1 more source

General multi-agent reinforcement learning integrating heuristic-based delay priority strategy for demand and capacity balancing

, 2023
Yutong Chen, Yan Xu, Minghua Hu
openalex   +1 more source

Reference‐Guided Chromosome‐by‐Chromosome de novo Assembly at Scale Using Low‐Coverage High‐Fidelity Long‐Reads with HiFiCCL

Advanced Science, EarlyView.
HiFiCCL, as the first assembly framework specifically designed for low‐coverage high‐fidelity reads, improves the assembly quality of existing assemblers and also enhances downstream applications such as large structural variant (SV) detection (>10 000 bp), synteny analysis, pangenome graph construction, and graph‐based individual‐specific germline SVs
Zhongjun Jiang, Weihua Pan, Runtian Gao, Heng Hu, Wentao Gao, Murong Zhou, Yu‐Hang Yin, Zhipeng Qian, Shuilin Jin, Guohua Wang   +9 more
wiley   +1 more source

Heuristic algorithms with rounded weights for a combinatorial food packing problem

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2017
In this paper, a lexicographic bi-criteria food packing problem arising in actual packaging equipments is considered. Given a set I = {i | i = 1,2,...,n} of current n items (for example, n green peppers) with their weights wi and priorities pi, the ...
Yoshiyuki KARUNO, Ryo SAITO
doaj   +1 more source

Quantitative Assessment of Randomized DNA Base Sequences Using Multi‐Model Physical Analysis for High‐Fidelity Data Storage

Advanced Science, EarlyView.
This study quantitatively evaluates randomized DNA sequence design for digital data storage using three physics‐based models. By applying encoding schemes with strict homopolymer constraints, the framework improves base randomness, GC balance, and error resilience. Experimental validation via PCR and Sanger sequencing confirms 95–98% decoding accuracy,
Seongjun Seo, Thi Hong Nhung Vu, Anshula Tandon, Suyoun Park, Thi Bich Ngoc Nguyen, Shinsuke Kawai, Sung Ha Park   +6 more
wiley   +1 more source

Priority-aware Radio Resource Scheduling for mMTC in 5G Networks - Balancing Efficiency and Fairness

Journal of Telecommunications and Information Technology
Efficient and fair resource allocation for massive machine-type communication remains a significant challenge in 5G New Radio networks due to the diverse quality of service requirements and dynamic traffic patterns.
Prashant Kumar Baheti, Ajay Khunteta
doaj   +1 more source

Research on Task Priority Model and Algorithm for Satellite Scheduling Problem

IEEE Access, 2019
In satellite scheduling system, one of the most important issues is task scheduling. Most of the existing algorithms focused on the scenario of normal tasks with fixed priority and don’t consider emergency tasks.
Jian Wu, Jiawei Zhang, Jinghui Yang, Lining Xing   +3 more
doaj   +1 more source

Comparison of Heuristic Priority Rules in the Solution of the Resource-Constrained Project Scheduling Problem [PDF]

, 2021
Osman Hürol Türkakın, David Arditi, Ekrem Manisalı   +2 more
openalex   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

Advanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan, Jiating Yu, Jieyi Pan, Fan Yuan, Jiadong Ji, Rusong Zhao, Zhi‐Ping Liu, Bingqiang Liu, Ling‐Yun Wu, Duanchen Sun   +9 more
wiley   +1 more source