Results 141 to 150 of about 5,312 (216)

Livelihood Diversification as an Adaptation Strategy to Climate Change and Household Food Security of Livestock Holders in Pakistan

Agribusiness, EarlyView.
ABSTRACT Rural farm households continue to face significant risks from climate change, resulting in many of them diversifying their livelihood sources into other income‐generating activities to increase their incomes and improve food and nutrition security. In this study, we examine the drivers and impact of farm households' participation in livelihood
Mahwish Arshad, Awudu Abdulai
wiley   +1 more source

Prevalence of MSI‐H/dMMR Colorectal Cancer in Japan: Data From the Clinical Study Group of the University of Osaka‐Colorectal Registry

Annals of Gastroenterological Surgery, EarlyView.
Using a multicenter Japanese colorectal cancer cohort from 25 institutions, we analyzed 1464 patients across all disease stages and tumor locations to determine the prevalence and clinicopathological features of MSI‐H/dMMR colorectal cancer. MSI‐H/dMMR tumors accounted for 9.4% of cases overall, were present in 22% of right‐sided colon cancers, and ...
Yoshihiro Morimoto, Mamoru Uemura, Yoshinori Kagawa, Hidekazu Takahashi, Masayuki Hiraki, Yozo Suzuki, Shinichi Yoshioka, Mitsuyoshi Tei, Shu Okamura, Yukako Mokutani, Atsushi Naito, Shinji Tokuyama, Takamichi Komori, Akinobu Yasuyama, Genta Sawada, Yujiro Fujie, Shinya Yamashita, Naotsugu Haraguchi, Yusuke Matsuura, Chu Matsuda, Yoshinao Chinen, Tatsushi Shingai, Katsuki Danno, Nobuo Tanaka, Kazuya Sakata, Kohei Murata, Yuichiro Doki, Hidetoshi Eguchi   +27 more
wiley   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

Lost in aggregation? On the importance of local food price data for food poverty estimates

American Journal of Agricultural Economics, EarlyView.
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich, Valerio Giuffrida, Bruno Martorano, Georg Schmerzeck, Marco Tiberti   +4 more
wiley   +1 more source

Choice experiments on land managers' participation in environmental programs: A systematic review and meta‐analysis of estimate validity

American Journal of Agricultural Economics, EarlyView.
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva, Angel Perni, Jesus Barreiro‐Hurle   +2 more
wiley   +1 more source

NO NĀ PUA: Exploring the feasibility of culture‐based social prescribing on firefighters' wellbeing in Hawaiʻi

American Journal of Community Psychology, EarlyView.
Abstract Firefighters face an array of stressors due to the demands of their occupation, leading to a high prevalence of mental health challenges. Social prescribing represents a novel approach to healthcare that emphasizes a holistic view of health and wellbeing.
Janice Ikeda, Margary Martin, Misty Pacheco   +2 more
wiley   +1 more source

Awareness and use of a community health worker program among racial/ethnic minority adults in Philadelphia: Results from a cross‐sectional community health survey

American Journal of Community Psychology, EarlyView.
Abstract Community health workers (CHW) programs are effective at reducing hospitalizations, improving mental health, and supporting health‐promoting behaviors. Research suggests awareness and use of CHW services remain uneven across communities nationally.
Stephen Bonett, Carmen Alvarez, José Bauermeister, Ashley Clemmons, Hyunmin Yu, Andy S. L. Tan, Terri H. Lipman, Karen Glanz, Antonia M. Villarruel   +8 more
wiley   +1 more source