Results 171 to 180 of about 707,443 (317)

Variation in sleep duration across latitudes and countries: a Bayesian hierarchical analysis of wearable data. [PDF]

NPJ Biol Timing Sleep
Akhtar F, Brownlee A, Crawford C.
europepmc   +1 more source

Seasonal cheer [PDF]

Nature Plants, 2016
openaire   +2 more sources

Seasonal Climate Forecasts and Risk Management Among Georgia Farmers

, 2008
Recent increases in the scientific robustness of seasonal climate forecasts have not led to substantial changes in farmers’ risk management strategies of actors, largely because there is poor integration of scientific forecasting into farmers’ decision ...
Hoogenhoom, G., Broad, K., Breuer, N.E, Paz, J., Ingram, K.T, Roncoli, C., Ingram, K.T., Crane, T.A, Breuer, N.E., Crane, T.A., Broad, K, Roncoli, C, Hoogenhoom, G, Paz, J   +13 more
core  

Trends, Demographic Characteristics and Seasonal Patterns of Rectal Prolapse Surgery in Japan: A Nationwide Claims‐Based Analysis From 2014 to 2023

Annals of Gastroenterological Surgery, EarlyView.
This study analyzed nationwide trends, demographic characteristics, and seasonal patterns of rectal prolapse surgery in Japan using healthcare claims data. From 2014 to 2023, age‐adjusted overall and conventional surgeries declined significantly, whereas laparoscopic surgeries increased significantly.
Masamitsu Kido, Tomohiro Arita, Hiroki Shimizu, Jun Kiuchi, Kenji Nanishi, Katsutoshi Shoda, Hiroyuki Okimura, Atsuko Fujihara, Kengo Yoshii, Atsushi Shiozaki   +9 more
wiley   +1 more source

Seasonal Analysis of Candida auris Detection Rates at 80 Wastewater Monitoring Sites in the United States, December 2023-November 2024. [PDF]

Environ Microbiol Rep
Chavez J, Zulli A, Duffy D, Campbell M, Lyman M, Coulliette-Salmond A, Sexton DJ.   +6 more
europepmc   +1 more source

Testing for seasonal unit roots in heterogeneous panels [PDF]

This paper uses the approach of Im, Pesaran and Shin (2003) to propose seasonal unit root tests for dynamic heterogeneous panels based on the means of the individuals HEGY test statistics.
Jesus Otero, Jeremy Smith
core  

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

Hydrological seasonality drives a predictable reversal in anthropogenic pollution dominance in mountain watersheds. [PDF]

iScience
Yang H, Zhao Y, Hou X, Li Z, Cao J.
europepmc   +1 more source

TESTING FOR WEEKLY SEASONAL UNIT ROOTS IN DAILY ELECTRICITY DEMAND: EVIDENCE FROM DEREGULATED MARKETS [PDF]

This paper analyses the nature of the weekly seasonal component in daily observations for the electricity demand series from several deregulated markets.
Antonio Rubia
core  

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source