36 results found

Bin Wang, Juan Zhang

This study introduces an innovative methodological framework for AI-driven talent chain management, addressing key challenges in workforce optimization, collaboration dynamics, and innovation assessme...

Scientific Reports 2026-04-21 rs-9264887
AI-driven Talent Management Multi-agent Systems Workforce Optimization Collaboration Dynamics Forecasting Uncertainty-aware Innovation Evaluation

Helmi Mostafa Abdaljabbar Khatib

Background Artificial intelligence (AI), particularly large language models (LLMs), has emerged as a promising tool in healthcare, with potential applications in clinical decision support and dental e...

Research Square 2026-04-21 rs-9468440
Artificial intelligence Large language models Periodontology Dental education Clinical reasoning Multiple-choice questions

Shuai Zou, Linus Olofsson, Oualid Burström, Thomas Reichert, Olof Broman, Geir Isak Vestøl, Mohammad Jaber Hossain, Magnus Fredriksson, Johannes A. J. Huber

Reliable segmentation of live and dead knots in X-ray computed tomography images is crucial for automated wood grading and sawing yield optimisation in the timber industry. Segmentation in wet-state X...

Wood Science and Technology 2026-04-21 rs-9134377
Computer vision Deep learning Knot morphology Non-destructive evaluation Norway spruce

Rahul Nayak, Aditya Prasoon

Federated learning has emerged as the dominant paradigm for privacy-preserving intrusion detection across distributed networks, yet its vulnerability to adversarial manipulation of the training proces...

The Journal of Supercomputing 2026-04-21 rs-9275643
Federated learning Intrusion detection Non-IID heterogeneity Byzantine resilience Adversarial machine learning Multi-agent systems Non-stationary distribution attack

Magdalena Dryś, Tetyana V. Koso, Tom Wirtanen, Katja T. Rinne-Garmston, Andrés Mollar-Cuni, Ilkka Kilpeläinen, Philipp Pracht, Alistair W. T. King

We report a detailed characterisation of the preparation of 5,6-cellulosene, a poorly investigated reactive cellulose derivative. A key literature procedure is followed, which utilises partially hydro...

Research Square 2026-04-21 rs-9335417
cellulose acetate computational chemistry density functional theory (DFT) NMR spectroscopy regioselectivity thiol–ene click chemistry

E. S Jang, B. S. Chang

This study presents a comprehensive evaluation of the minimum detectable activity (MDA [1]) for 134Cs in soil samples using Compton suppression [4,6] gamma-ray spectrometry [2–4]. A high-purity german...

Research Square 2026-04-21 rs-9324114
Compton suppression [4 6] gamma-ray spectrometry [2–4] HPGe detector 134Cs minimum detectable activity Monte Carlo [5 7 13] simulation PENELOPE [5 29] environmental radioactivity

Duneia J. McManus, Gloria C. Blaise, Austin J. Wells, Brody Rinzler, Kilan C. Ashad-Bishop

Climate change intensifies existing health inequities by compounding the social and structural conditions that shape exposure, vulnerability, and recovery. Health impact assessment (HIA) is increasing...

Research Square 2026-04-21 rs-9476228
Climate change climate resilience policy health impact assessment health equity environmental justice Structural racism

Xiangchen Wang, Wei Zhu, Chenzhe Zhong

Emergency communication support serves as the cornerstone of emergency response actions. In the context of modern emergency communication scenarios, issues such as unreasonable weighting of evaluation...

Scientific Reports 2026-04-21 rs-9031387
Emergency communication network Combined weighting Cloud model TOPSIS Effectiveness evaluation

Akis Kourtis, Achilleas Economopoulos, George Xilouris, Evangelos Markakis

The proliferation of Internet of Things (IoT) devices operating in swarm-like formations—from autonomous device fleets to federated service networks— demands a computing continuum that spans edge node...

Discover Internet of Things 2026-04-21 rs-9232592
service mesh scalability IoT-to-cloud continuum tail latency benchmarking Istio microservices sidecar proxy overhead Fortio Kubernetes cloud-native performance

WenJie Xia, Xin Wang, ZiXin Gao, Jia Bao, Yang Liu, MengQin Yao

This study aimed to optimize the preparation conditions of Trichoderma harzianum inoculant and evaluate its degradation efficiency of alachlor in aqueous environments, as well as the toxicity of the r...

Research Square 2026-04-21 rs-8923237
Alachlor Trichoderma harzianum agent Microbial remediation Seed experiment
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