Results 101 to 110 of about 3,353 (215)

Forecasting and Capacity Planning in Prehospital Emergency Medical Services: The Case of Ankara

The International Journal of Health Planning and Management, EarlyView.
ABSTRACT Objective Time savings in prehospital emergency medical services are vital for human life. Ensuring that these services can meet potential demands is essential for successful delivery. This study aimed to forecast the demand for ambulance services within prehospital emergency medical services and to plan the capacity of ambulance stations ...
Elif Erbay, Çağdaş Erkan Akyürek
wiley   +1 more source

Risk Forecasting in Shipping Exchange‐Traded‐Fund (ETF) Markets

International Journal of Finance &Economics, EarlyView.
ABSTRACT This article examines the risk properties of freight‐derivative‐based exchange‐traded funds (ETFs), focusing on the Breakwave Dry Bulk Shipping ETF (BDRY), and evaluates the accuracy of Value‐at‐Risk (VaR) and Expected Shortfall (ES) forecasts across a range of econometric models.
Christos Katris, Manolis G. Kavussanos, Stergiani (Stella) A. Moysiadou   +2 more
wiley   +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

Spatial and Temporal Patterns of Extreme Hourly Rainfall in the Hawaiian Islands

International Journal of Climatology, EarlyView.
The extreme rainfall trends in Hawaiʻi were revealed by hourly rainfall data: Across islands, Kauaʻi and Hawaiʻi Island had larger events at a return period. Annual maximum series of 15 gauges showed significant positive trends. While extreme rainfall trends show increases or decreases regionally, the trends varied with rainfall duration.
Maxime Gayte, Yu‐Fen Huang, Yinphan Tsang, Pao‐Shin Chu, Thomas W. Giambelluca, Hanpei Zhang   +5 more
wiley   +1 more source

Raising the bar: Utilizing quality improvement tools to increase compliance with clinical care guidelines in inflammatory bowel disease patients

JPGN Reports, EarlyView.
Abstract Patients admitted for inflammatory bowel disease (IBD) are often managed by rotating teams of care providers during their hospital stay. This can lead to potential variability in the care they receive. Our team developed a scoring system of six key high‐quality care components called the standardized IBD care index (SICI) to standardize care ...
Amir Jazayeri, Emi Suzuki, Laura Bauman, Brent Polk, Jeannie S. Huang   +4 more
wiley   +1 more source

Mapping landowners' willingness to allow recreational deer harvest on their property for managing chronic wasting disease

The Journal of Wildlife Management, EarlyView.
We demonstrate an approach for mapping the probability of landowners' willingness to allow wildlife management actions on their property using chronic wasting disease as a case study. Larger property sizes were associated with higher landowner willingness. We mapped predictions across the contiguous United States at the census tract level.
Eric C. Palm, Matthew A. Williamson, Nathan P. Snow, Sonja Christensen   +3 more
wiley   +1 more source

Bayesian Optimization of Grayscale Patterns for Layer‐Height Accuracy in Projection Multi‐Photon 3D Printing

Laser &Photonics Reviews, EarlyView.
Bayesian optimization combined with in situ quantitative phase imaging enables autonomous correction of layer‐height deviations in projection multi‐photon lithography. By jointly tuning model parameters and grayscale exposure settings, the method achieves more uniform and accurate layers within 300 prints, offering a fast, data‐efficient route to ...
Jason E. Johnson, Xianfan Xu
wiley   +1 more source

AI‐Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery

Medicinal Research Reviews, EarlyView.
ABSTRACT Artificial intelligence (AI) is transforming synthetic chemistry from task‐specific predictors into integrated platforms that unify retrosynthesis, reaction optimization, and closed‐loop robotic automation. This review highlights how AI‐assisted planning and robotic execution shorten cycle times, reduce step counts, and improve route ...
Amit Gangwal, Antonio Lavecchia
wiley   +1 more source

Reasoning BO: Enhancing Bayesian Optimization With the Reasoning Power of LLMs

Materials Genome Engineering Advances, EarlyView.
Addressing the challenge of too many parameters and too few experiments, reasoning BO enables AI‐accelerated scientific discovery. By searching smarter and reasoning deeper each round, this method achieves better results with fewer experiments than traditional approaches.
Zhuo Yang, Daolang Wang, Lingli Ge, Beilun Wang, Tianfan Fu, Yuqiang Li   +5 more
wiley   +1 more source

Designing γ‐TiAl Alloys With Refined Twin‐Lamellar Microstructures via Machine Learning‐Driven Phase‐Field Methods

Materials Genome Engineering Advances, EarlyView.
Dual‐phase γ‐TiAl alloys with refined twin‐lamellar (RTL) structures exhibit optimal strength‐ductility synergy. Here, phase‐field simulations reveal composition‐stress‐dependent refined twin‐lamellar (RTL) microstructure evolution. Machine learning (CatBoost + NSGA‐III) trained on phase‐field images predicts optimal RTL‐stress‐composition design space.
Jianwei Li, Zhenqiang Xiong, Chuanxin Liang, Tianjiao Dong, Heran Wang, Mengyuan Hao, Liqiang He, Tianlong Zhang, Dong Wang   +8 more
wiley   +1 more source