Results 111 to 120 of about 6,937 (265)

Special issue on "real-world optimization problems and meta-heuristics". [PDF]

Neural Comput Appl, 2020
Mirjalili S.
europepmc   +1 more source

Looking Back and Looking Forward: Thirty Years of Evidence on Strategic HRM Systems and Performance (1995–2025)

Human Resource Management, EarlyView.
ABSTRACT Research on how to leverage high‐performance work systems (HPWS) and other strategic human resource management (HRM) systems to improve performance outcomes has long been a cornerstone of the HRM discipline. This study offers a comprehensive mapping of the field through bibliometric analysis and a thematic synthesis of 3503 peer‐reviewed ...
Xiaoxuan Zhai, Cherrie Jiuhua Zhu, Mingqiong Mike Zhang   +2 more
wiley   +1 more source

Hybrid meta-heuristics for robust scheduling.

, 2006
The production and delivery of rapidly perishable goods in distributed supply networks involves a number of tightly coupled decision and optimization problems regarding the just-in-time production scheduling and the routing of the delivery vehicles in order to satisfy strict customer specified time-windows.
Surico, M., Kaymak, U., Naso, D., Dekker, Rommert   +3 more
openaire   +2 more sources

When Do Employees Choose to Invest in Their Firms? An Empirical Examination of Factors Affecting Employees' Participation in Employee Stock Purchase Plans

Human Resource Management, EarlyView.
ABSTRACT The present study examined factors predicting employee participation in employee stock purchase plans (ESPPs). Despite the plausible benefits of ESPPs for participating employees, many employees do not participate in ESPPs even when they are eligible.
Joo Hun Han, So Ri Park, Joseph R. Blasi, Douglas L. Kruse, William G. Castellano   +4 more
wiley   +1 more source

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley   +1 more source

A machine learning-based selection approach for solving the single machine scheduling problem with Early/Tardy jobs

BizInfo
Today, the algorithm selection paradigm has become one of the promising approaches in the field of optimization problems. Its main goal is to solve each case of an optimization problem with the most accurate algorithm using machine learning techniques ...
Ahmed Adnane Abdessemed, Leila Hayet Mouss, Khaled Benaggoune, Toufik Bentrcia   +3 more
doaj   +1 more source

Computational Intelligence Accelerates CRISPR‐Cas‐Based Diagnostic Design

iLABMED, EarlyView.
Computational intelligence, including pangenome‐guided target mining, machine‐learning‐based guide RNA optimization, and autonomous AI agents, is shifting CRISPR diagnostic design from empirical screening to systematic, data‐driven engineering and accelerating the path from pathogen discovery to deployable diagnostics.
Hengyu Wang, Qiurun He, Xuhu Mao, Yong Sheng   +3 more
wiley   +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

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

Do Linking‐Expression Substitutions Mitigate Deterministic Interpretations of Genetic Information?

Journal of Applied Philosophy, EarlyView.
ABSTRACT It is a common concern that broader audiences interpret scientific information about the genetic correlates and causes of complex human traits in an overly deterministic manner. A frequently proposed way to address this issue is to carefully select the linking expressions used to describe gene–trait relationships when communicating genetic ...
Riin Kõiv
wiley   +1 more source