Results 71 to 80 of about 20,189 (260)

Adaptive Responses of Tropical Crops: A Multi‐Scale Omics Integrated Perspective

Advanced Science, EarlyView.
Tropical crops integrate genomic, morphological, physiological, and ecological adaptations to thrive under extreme and variable environments. This review highlights how natural selection, domestication, and breeding shape stress resilience, resource‐use strategies, and productivity in sugarcane, banana, cassava, rubber and oil palm, offering new routes
Peilin Wang, Chenhui Li, Dongjiao Wang, Qibin Wu, Zhen Zeng, Huiming Guo, Han Cheng, Songbi Chen, Hongxing Cao, Hongmei Cheng, Jianghui Xie, Youxiong Que   +11 more
wiley   +1 more source

Herbicide Metabolic Resistance in Poaceae Plants via the GA‐GID1/DELLA‐DOF2‐P450s Module

Advanced Science, EarlyView.
Plant hormone signaling modulates herbicide resistance in Echinochloa crus‐galli. The GA–DELLA–DOF2 cascade directly activates P450 detoxification genes in two Poaceae species, uncovering a core mechanism of metabolic herbicide resistance. ABSTRACT Barnyard grass (Echinochloa crus‐galli) is one of the world's most important weeds, and the evolution of ...
Junzhi Wang, Jiale Qi, Lin Wei, Qin Yu, Zhongyuan Liu, Lianyang Bai, Lang Pan   +6 more
wiley   +1 more source

Effects of Environmental and Health Information on Willingness to Pay for Local and Organic Foods in Taiwan

Agribusiness, EarlyView.
ABSTRACT Using a lab‐in‐the‐field experiment, we investigate how providing information about food miles and pesticide residue influences willingness to pay (WTP) for potatoes among 407 shoppers in Taiwan, split between a supermarket and a farmers market.
Chiu‐Lin Huang, Edward C. Jaenicke, Martina Vecchi, Sheng‐Jang Sheu   +3 more
wiley   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Radical‐Mediated Dispersion Breaks Aggregation Limits in Carbon Thermoelectrics

Angewandte Chemie, EarlyView.
We report a rationally designed small molecule (OTN) that effectively disperses SWCNTs via π–π and radical‐radical interactions, yielding hybrid films with a record power factor of 30.1 µW cm−1 K−2 and excellent flexibility. A nine‐leg device achieves a record normalized power density of 0.653 µW cm−2 K−2, setting a new benchmark for carbon‐based ...
Shanshan Zhou, Xiao‐Lei Shi, Meng Li, Wenyi Chen, Tianyi Cao, Nan‐Hai Li, Min Zhang, Prashant Sonar, Qian Liu, Zhi‐Gang Chen   +9 more
wiley   +2 more sources

Comparison of growth hormone stimulation tests in prepubertal children with short stature according to response to growth hormone replacement [PDF]

Annals of Pediatric Endocrinology & Metabolism
Purpose Growth hormone (GH) stimulation tests are essential tools for diagnosing GH deficiency (GHD). We aimed to compare L-dopa, insulin, and arginine-induced stimulation tests based on response to GH replacement.
Seong Hwan Chang, Chan Jong Kim
doaj   +1 more source

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

Deep Learning Enables Identification of Antimicrobial Peptides Through Mechanochromic Fingerprints

Angewandte Chemie, EarlyView.
We demonstrate a new platform for antimicrobial peptide identification by combining polydiacetylene, hyperspectral imaging, and deep learning. The trained model classifies distinct spectral fingerprints into 14 peptide classes with 96.79% accuracy, revealing previously hidden molecular information beyond conventional colorimetric sensing.
Jiali Chen, Che‐Lun Chin, Qingzhen Zhu, Ling Chao, Kaori Sugihara   +4 more
wiley   +2 more sources

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

Assessing the Feasibility of Wearable Devices for Physiological Monitoring and Heat Risk Prediction in Outdoor Agricultural Workers

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Outdoor agricultural workers experience significant heat exposure, yet few studies have evaluated whether wearable sensors can reliably measure continuous physiological responses in real field conditions. This pilot study examined the feasibility and predictive utility of core temperature, hydration, heart rate, and movement data ...
Sinan Sousan, Elizabeth Mizelle, Qiang Wu, Rui Wu, Guy Iverson, Ciprian Popoviciu, Dylan Hemedinger, Eliezer Loyola, Takari Hood, Monica Ramirez, Jo Anne Balanay   +10 more
wiley   +1 more source