Results 81 to 90 of about 9,789 (258)

Effective machine learning, Meta-heuristic algorithms and multi-criteria decision making to minimizing human resource turnover. [PDF]

Appl Intell (Dordr), 2023
Pourkhodabakhsh N, Mamoudan MM, Bozorgi-Amiri A.   +2 more
europepmc   +1 more source

Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes

iMeta, EarlyView.
Nanopore direct RNA sequencing advances transcriptomics by capturing full‐length transcripts and multiple RNA modifications; this review details its principles, workflows, tools, applications, challenges, and future research potential. Abstract Nanopore direct RNA sequencing (DRS) has transformed transcriptomics by enabling single‐molecule, long‐read ...
Tianyuan Zhang, Jia Li, Chao Tang, You Wu, Hao Wu, Xi‐Tong Zhu, Ziyang Luo, Hang Qin, Lishan Ding, Yu Zeng, Shiou Yih Lee, Xiaotao Shen, Shiwen Gao, Zhaoyang Tian, Qian Tang, Mian Li, Muhammad Tahir Ul Qamar, Yang Dong, Komivi Dossa, Yaxuan Zhang, Hu Chen, Sanqi An, Xiang Yu, Lu Chen, Dingjie Wang, Shengli Li, Ling‐Ling Chen, Yanqiang Li   +27 more
wiley   +1 more source

Estimating the monthly pan evaporation with limited climatic data in dryland based on the extended long short-term memory model enhanced with meta-heuristic algorithms. [PDF]

Sci Rep, 2023
Fu T, Li X.
europepmc   +1 more source

Medical Reasoning With Large Language Models: A Systematic Review and Evaluation

iNew Medicine, EarlyView.
ABSTRACT Large language models (LLMs) have achieved strong performance on medical exam–style tasks, motivating growing interest in their deployment in real‐world clinical settings. However, clinical decision‐making is inherently safety‐critical, context‐dependent, and conducted under evolving evidence.
Xiaohan Ren, Chenxiao Fan, Wenyin Ma, Hongliang He, Chongming Gao, Xiaoyan Zhao, Fuli Feng   +6 more
wiley   +1 more source

Parameter setting of meta-heuristic algorithms: a new hybrid method based on DEA and RSM. [PDF]

Environ Sci Pollut Res Int, 2022
Shadkam E.
europepmc   +1 more source

Ant Colony Optimization and Genetic Algorithm for Fuzzy Stochastic Production-Distribution Planning

Applied Sciences, 2018
In this paper, a tactical Production-Distribution Planning (PDP) has been handled in a fuzzy and stochastic environment for supply chain systems (SCS) which has four echelons (suppliers, plants, warehouses, retailers) with multi-products, multi-transport
Umit Sami SAKALLI, Irfan ATABAS
doaj   +1 more source

Toward an idiographic understanding of the role of sleep‐mood dynamics in adolescents' internalizing symptoms

JCPP Advances, EarlyView.
Abstract Background Adolescence is marked by increased vulnerability to sleep disturbances and mood disorders. Understanding how day‐to‐day changes in sleep and mood are linked within the same individual is crucial for clarifying sleep's role in emerging internalizing disorders. However, the extent to which an adolescent's fluctuations in sleep predict
Konstantin Drexl, Setareh Ranjbar, Sébastien Urben, Kerstin Jessica Plessen, Jennifer Glaus   +4 more
wiley   +1 more source

Hybrid Meta-Heuristic Algorithms for Optimal Sizing of Hybrid Renewable Energy System: A Review of the State-of-the-Art. [PDF]

Arch Comput Methods Eng, 2022
Bouaouda A, Sayouti Y.
europepmc   +1 more source

Beyond Visible Differences: An Experimental Investigation Into the Role of Cognitive Diversity Awareness in Shaping Team Dynamics

Strategic Change, EarlyView.
ABSTRACT The relationship between team composition and organizational outcomes is a critical topic in many managerial and business contexts. In this study, we utilize an experimental research method to examine the impact of cognitive diversity on team dynamics.
Jantunen Ari, Mittone Luigi, Morreale Azzurra, Tuppura Anni, Tarkiainen Anssi, Vu Thi‐Thanh‐Tam   +5 more
wiley   +1 more source

Large language models are comparable with commonly used statistical software: A validation of GPT 5.1 for frequentist meta‐analysis in orthopaedics

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The purpose of this study was to evaluate whether Chat Generative Pre‐trained Transformer (ChatGPT; Version 5.1) can reproduce frequentist meta‐analytic calculations with an accuracy comparable to established statistical software in orthopaedic research.
Mikhail Salzmann, Nikolai Ramadanov, Robert Prill, Robert Hable, Roland Becker   +4 more
wiley   +1 more source