Results 51 to 60 of about 3,438 (211)

Artificial intelligence and liquidation: Reality, destiny and fantasy

International Insolvency Review, EarlyView.
Abstract Artificial intelligence (AI) is increasingly reshaping the administration of corporate liquidation. Beyond its established role in financial prediction and data analytics, AI is now assisting insolvency practitioners in identifying the onset of financial distress, managing creditor communications, tracing and valuing assets and enhancing ...
Kai Zhang, Jingchen Zhao
wiley   +1 more source

Blood Biomarkers of Helicobacter pylori‐Infected Chronic Gastritis in Active Versus Stable Phases: A Clinical Indicator Analysis Combined With Proteomic and Metabolomic Investigations

iMetaMed, EarlyView.
Combining clinical data with serum proteomics and metabolomics, the HGB–CAPZB–acetic acid model was developed as a potential diagnostic index to distinguish the active and stable stages of Helicobacter pylori‐infected chronic gastritis, and the related mechanism was explored through multi‐omics.
Tiantong Jiang, Zhen Ma, Yang Li, Shaoli Wang, Yanjiao Zhang, Lei Song, Xianyu Li, Zhen Liu   +7 more
wiley   +1 more source

Network analytical model of tandem queuing RED and ERED

Tongxin xuebao, 2011
Based on the tandem queuing network theory,tandem queuing RED and ERED analytical models were established which emprise multiple network nodes.The RED algorithm with exponent packet loss distribution function was derived（ERED）.In probability generation ...
CHI Xue-fen, ZHAO Ying-ying
doaj   +2 more sources

Perceived Educational Value of a Self‐Developed 3D‐Printed Pediatric Dentistry Simulator

Journal of Dental Education, EarlyView.
ABSTRACT Purpose To design and assess a 3D‐printed pediatric dentistry simulator and to evaluate its perceived educational value and realism through student and expert feedback. Methods A maxillary simulator that is mountable on phantom heads was developed and produced by desktop stereolithography with single‐use inserts, enabling proximal caries ...
Michel Benyamin, Sandrella Hamdan, Timothy Fasham, Samuel Morice, Stephane Le Goff, Maria‐Antonietta D'Agostino, Marie Jannot, Yasmine Smail, Jean‐Pierre Attal, Hélène Gouze, Elisabeth Dursun, Philippe Francois   +11 more
wiley   +1 more source

Electric Vehicle Charging Load Prediction Based on Weight Fusion Spatial–Temporal Graph Convolutional Network

Energies
The rapid increase in electric vehicles (EVs) poses significant impacts on multi-energy system (MES) operation and energy management. Accurately assessing EV charging demand becomes crucial for maintaining MES stability, making it an urgent issue to be ...
Jun Zhang, Huiluan Cong, Hui Zhou, Zhiqiang Wang, Ziyi Wen, Xian Zhang   +5 more
doaj   +1 more source

Agentic Artificial Intelligence in Medical Imaging Education: Architectural Autonomy and the Risk of Cognitive Surrender

Journal of Medical Radiation Sciences, EarlyView.
Agentic AI systems embedded within imaging workflows may alter reflective reasoning by reshaping when and how verification occurs. This Perspective proposes a Tri‐System framework and argues for educational recalibration to preserve diagnostic complementarity, calibrated trust, and accountable human supervision within architecturally integrated ...
James Hayes
wiley   +1 more source

Optimization of Convying Connection of Continuous Casting Billet Queuing Process in Direct Rolling Process of Billet at Casting-Rolling Interface

Teshugang, 2021
Through the method of queuing theory, a mathematical model of the queuing of continuous casting billets at cast-rolling interface of the billet straight rolling process is constructed, and a case analysis of the queuing theory is carried out on the ...
张宏亮, 冯光宏, 刘鑫, 陈继林, 王宝山, 马健   +5 more
doaj  

DataEX‐Sc: A Specialized Parsing Model for Materials Science Scatter Plots Based on Multi‐Strategy Fusion and Bidirectional Optimization

Materials Genome Engineering Advances, EarlyView.
We present DataEX_Sc, a specialized model for parsing scatter plots, to make valuable contributions to data‐driven materials science. It improves accuracy by 0.23 (absolute F1 gain when relative error threshold = 0.02) over full‐automatic tools and boosts efficiency by 80% compared with semi‐automated tools.
Qianxue Tang, Guisen Liu, Zhuliang Li, Lei Zhang, Yao Shen   +4 more
wiley   +1 more source

Queuing theory & discrete simulation as a tool to improve medicine deliver center service levels [PDF]

Yugoslav Journal of Operations Research
The increasing demand for medical services and supplies as medicine delivery has been found in applied mathematical models, such as queuing theory, a tool to analyze and improve medical processes.
Hinestroza Torres Maria Alexandra, Ruiz Morcillo Camila, Anacona Mopan Yesid Ediver, Paz Orozco Helmer, Chong Mario, Luna Ana, de Brito Junior Irineu   +6 more
doaj   +1 more source

Co‐Evolution of Humans, AI, and Robotics in Autonomous Materials Manufacturing

National Materials, EarlyView.
ABSTRACT Materials manufacturing has entered into a new era with the rapid development of technologies. The convergence of artificial intelligence (AI) and robotics technologies is transforming materials manufacturing from a traditional human‐centered practice into a human, AI, and robotics co‐evolution paradigm.
Yixuan Zhao, Wenlong Li, Xiaodong Chen
wiley   +1 more source