Results 81 to 90 of about 97,649 (287)

Swedish farmers' approval of nudges

Agribusiness, EarlyView.
Abstract Interest in the use of behavioral policy approaches, such as nudges, has strongly increased over the past years, including in the domains of food, agricultural and environmental policies. While the approval of nudges among the general public has been studied extensively, we know little about the attitude of farmers toward nudging. Farmers may (
Liesbeth Colen, Leon Englberger, Jens Rommel   +2 more
wiley   +1 more source

ANALYTICAL APPROACH OF GENERALIZED LINEAR MODELS FOR HANDLING OVERDISPERSION IN POVERTY DATA OF INDONESIA

Barekeng
Poverty is one of the complex phenomena that occurs in Indonesia. Various socio-economic variables in Indonesia influence poverty, which we can mathematically model using the Generalized Linear Model (GLM) framework. In this study, we modeled data on the
Restu Arisanti, Resa Septiani Pontoh, Sri Winarni, Fellita Odelia Wibowo, Hanifah Khairunnisa, Raissheva Andika Pratama   +5 more
doaj   +1 more source

Traceability of Agri‐Food Products: The Key to Conscious Trade

Agribusiness, EarlyView.
ABSTRACT Globalization and growing concerns about sustainability have led to improvements in product traceability, quality, and sustainability. Traceability contributes to environmental protection and supports sustainable development by fostering transparency in agricultural practices and encouraging the responsible use of resources.
Scarlett Queen Almeida Bispo, Fernanda Aparecida Silva, Michelle Márcia Viana Martins, Marcelo José Braga Nonnenberg, Ruan da Silva Vianna, Carla Cristina Passos Cruz   +5 more
wiley   +1 more source

Short‐Term Outcomes of Robot‐Assisted Versus Laparoscopic Colectomy for Colon Cancer: A Propensity Score‐Matched Analysis

Annals of Gastroenterological Surgery, EarlyView.
This study compared short‐term outcomes of robot‐assisted versus laparoscopic colectomy for colon cancer using 1:1 propensity score matching. Among 218 matched pairs, robot‐assisted colectomy was associated with reduced blood loss, fewer conversions to open surgery, lower overall complication rates, and shorter hospital stays, despite longer operative ...
Akira Inoue, Yujiro Nishizawa, Yoshinori Kagawa, Masahiro Hashimoto, Shinya Kato, Yoshihiro Morimoto, Taishi Hata, Makoto Fujii, Masaaki Motoori, Kazumasa Fujitani   +9 more
wiley   +1 more source

A Transition Model for Analysis of Zero-Inflated Longitudinal Count Data Using Generalized Poisson Regression Model

Revstat Statistical Journal, 2020
In most of the longitudinal studies, involving count responses, excess zeros are common in practice. Usually, the current response measurement in a longitudinal sequence is a function of previous outcomes.
Taban Baghfalaki , Mojtaba Ganjali
doaj   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Generalized Poisson Regression Type-II at Jambi City Health Office

Eksakta : Berkala Ilmiah Bidang MIPA, 2020
One statistical analysis is regression analysis. One regression that has the assumption of poisson distribution is poisson regression which has the assumption of poisson distribution. Neonatal deaths are still very rare, so the proper analysis is used, namely Generalized Poisson Regression.
Corry Sormin, Gusmanely Z, Nurhidayah Nurhidayah   +2 more
openaire   +2 more sources

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

An Implementation of Bayesian Adaptive Regression Splines (BARS) in C with S and R Wrappers [PDF]

BARS (DiMatteo, Genovese, and Kass 2001) uses the powerful reversible-jump MCMC engine to perform spline-based generalized nonparametric regression. It has been shown to work well in terms of having small mean-squared error in many examples (smaller than
Garrick Wallstrom, Jeffrey Liebner, Robert E. Kass   +2 more
core   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source