Results 111 to 120 of about 42,989 (212)
gllvm 2.0: fast fitting of advanced ordination methods and joint species distribution models. [PDF]
Korhonen P +4 more
europepmc +1 more source
Abstract Ambient air pollution remains a leading environmental risk factor for morbidity and mortality in the U.S, though most research is conducted in urban areas. Our study assessed how sociodemographic factors indicative of social vulnerability were associated with smoke from agricultural burns in Florida.
K. D. Slater +13 more
wiley +1 more source
The Impact of Foreign Language on Meta-Reasoning in Moral Decisions. [PDF]
Hu Z, Martín-Luengo B, Navarrete E.
europepmc +1 more source
A Machine Learning‐Based Dynamic SST Index for Long‐Lead Malaria Prediction in the Peruvian Amazon
Abstract Malaria imposes a major health burden in the Peruvian Amazon, and its early warning is essential for effective disease prevention. The tropical sea surface temperature (SST) variability, fundamentally shaping the global weather patterns, may also alter malaria transmission and potentially improve its long‐lead predictability. In this study, we
Mengxin Pan +7 more
wiley +1 more source
Action repetition biases choice in context-dependent decision-making. [PDF]
Wagner BJ, Wolf HB, Kiebel SJ.
europepmc +1 more source
Abstract The prediction of river planimetric evolution and related interactions with anthropic activities and public safety is one of the most critical aspects in the planning of a sustainable land‐use. Since the beginning of the past century, a large number of theoretical and experimental studies have focused on the investigation of river meandering ...
M. Pannone
wiley +1 more source
Individual-level surrogacy of MRI lesions for disease severity in RRMS: Methods to quantify predictive power and their application to longitudinal data from recent trials. [PDF]
Buchka S +4 more
europepmc +1 more source
This paper proposes an eXtreme gradient boosting tree (XGBoost)–long short‐term memory (LSTM) fusion model using traffic big data, integrating temporal, meteorological, and spatial features. First, the XGBoost models historical congestion ratios and associated features for each region, generating preliminary predictions and extracting regional residual
Bohang Liu +4 more
wiley +1 more source
To address “high‐density interference” and “multi‐mode parameter agility” in Radar Emitter Identification (REI), as well as existing models' flaws (pulse sequence models' weak anti‐noise ability, statistical feature models' multi‐mode confusion), this paper proposes a TPS‐based REI method–constructing a three‐level signal model and PRI probability ...
Chen‐Qian Zhao +2 more
wiley +1 more source
A common generalization of binomial coefficients, Stirling numbers and Gaussian Coefficientes
Bernd Voigt
openalex +1 more source

