Results 141 to 150 of about 779,072 (303)

Age‐Specific Temporal Trends and Climate‐Associated Seasonality of Appendectomy in Japan: A Nationwide Population‐Based Study Using the National Database

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim This study investigated nationwide temporal trends, age‐specific changes, and seasonal variations in appendectomies in Japan using the national database of health insurance claims and specific health checkups (NDB). Methods Data on appendectomies (open [OA] and laparoscopic [LA]) were extracted from the 2018–2023 NDB Open Data.
Shutaro Sumiyoshi, Masamitsu Kido, Tomohiro Arita, Naosuke Nakamichi, Kento Kurashima, Kenji Nanishi, Jun Kiuchi, Hiroki Shimizu, Kengo Yoshii, Atsushi Shiozaki   +9 more
wiley   +1 more source

Enhanced biogas production via dual‐layer model predictive control for thermophilic anaerobic digesters

AIChE Journal, EarlyView.
Abstract Thermophilic anaerobic digestion (AD) is an attractive process due to its higher biogas yield compared to mesophilic digestion. To mitigate its higher heating demand and potential process instability, a dual‐layer control architecture comprising a decision‐making layer and an adaptive model predictive control (MPC) system is proposed.
Ali Moradvandi, Mohammad Amin Ghanavati, Merle de Kreuk, Ralph E. F. Lindeboom   +3 more
wiley   +1 more source

Seasonal climate forecasts show skill in predicting winter chill for specialty crops in California

Communications Earth & Environment
Many fruits and nuts crops in California require sufficient winter chill to break dormancy, and insufficient chill can harm fruit quantity and quality. Early information on winter chill forecast can help growers prepare for a low chill year.
Prakash Kumar Jha, Tapan B. Pathak
doaj   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Improving seasonal precipitation forecasts in the Western United States through statistical downscaling

Environmental Research Letters
Seasonal precipitation forecasts in the western United States are critical resources for water resource management, especially during winter. While current seasonal forecasting systems provide monthly precipitation forecasts operationally, their coarse ...
B Vernon, W Zhang, Y Chikamoto
doaj   +1 more source

Seasonal forecasts of the 20th Century

, 2019
Seasonal forecasts of the 20th Century subset of data (only Z500) generated using the IFS version ...

core  

Multicenter Validation of Machine Learning Models for Predicting Myopia Progression Across School‐Based Screening and Optical Intervention Settings in Chinese Children and Adolescents

Advanced Intelligent Discovery, EarlyView.
Machine‐learning models predict myopia trajectories from 12 routine ocular variables in 40 445 children across 10 hospitals. Externally validated across school‐based screening and optical‐intervention settings, the best models achieve AUROC 0.97 for myopia status and R2 0.83 for spherical equivalent, enabling personalized risk stratification to curb ...
Yitong Zhang, Mingxuan Liu, Yifei Chen, Ying Wu, Lijun Zhang, Mengyao Guo, Yulan Yan, Runmei Wei, Zihan Cui, Peng Luo, Fang Chen, Bo Yang, Youcang Han, Xiaoyang Liu, Qiyuan Tian   +14 more
wiley   +1 more source

A state space model for exponential smoothing with group seasonality [PDF]

We present an approach to improve forecast accuracy by simultaneously forecasting a group of products that exhibit similar seasonal demand patterns. Better seasonality estimates can be made by using information on all products in a group, and using these
Rob J. Hyndman, Pim Ouwehand, Karel H. van Donselaar, Ton G. de Kok   +3 more
core  

Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems

Advanced Intelligent Systems, EarlyView.
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja, Mardavij Roozbehani, Munther A. Dahleh   +2 more
wiley   +1 more source

8th International Conference on Southern Hemisphere Meteorology and Oceanography (8ICSHMO): Understanding and Predicting Climate and Water Resources, their Variability and Change in the Southern Hemisphere [PDF]

, 2006
The Madden-Julian Oscillation (MJO) is a tropical atmospheric phenomenon, associated with periods of active convection in the eastern hemisphere tropics. The MJOs temporal scale (22-90 days) coincides with a gap between weather (synoptic forecasts out to
Wheeler, Matthew, Maia, Aline de H. N., Donald, Alexis, Stone, Roger C., Ribbe, Joachim, Meinke, Holger, White, Neil, Power, Brendan   +7 more
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