Results 41 to 50 of about 20,570 (262)

Sustainable Productivity Growth in Agriculture: The Role of Shifts in R&D Investments and Technology

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The objective of the paper is to evaluate the long‐term prospects of sustainable productivity growth linked to plausible assumptions on public agricultural R&D investments as the key productivity driver. Second, it investigates the role of changing R&D focus from yield maximization to input saving technologies (fertilizers and pesticides). The
Zuzana Smeets Křístková, Michiel van Dijk, Robert M'Barek, Hans van Meijl, Tomas Ratinger   +4 more
wiley   +1 more source

Cost‐Benefit Analysis of the European Union Carbon Border Adjustment Mechanism in Fertilizer Trade

Agribusiness, EarlyView.
ABSTRACT The carbon border adjustment mechanism (CBAM), launching 2026, will charge EU importers for embedded carbon emissions, aiming to reduce emissions but raising import costs. Shifts in demand following implementation may reduce carbon emissions, but importers will bear the cost of increased prices.
Natalie Crisci, Md Deluair Hossen, Andrew Muhammad, Seong‐Hoon Cho   +3 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Germinated brown rice (GBR) reduces the incidence of aberrant crypt foci with the involvement of β-catenin and COX-2 in azoxymethane-induced colon cancer in rats

Nutrition Journal, 2010
Chemoprevention has become an important area in cancer research due to the failure of current therapeutic modalities. Epidemiological and preclinical studies have demonstrated that nutrition plays a vital role in the etiology of cancer.
Hairuszah Ithnin, Norazalina Saad, Nordiana Abdul, Azhar Yaacob, Tze Tan, Armania Nurdin, Latifah Saiful, Saidi Moin, Maznah Ismail   +8 more
doaj   +1 more source

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

Advanced Intelligent Discovery, EarlyView.
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang, Abudukadi Tudi, Ran An, Zhihua Yang   +3 more
wiley   +1 more source

Lunar Exploration Based on Ground-Based Radar: Current Research Progress and Future Prospects

Remote Sensing
Lunar exploration is of significant importance in the development and utilization of in situ lunar resources, water ice exploration, and astronomical science. In recent years, ground-based radar (GBR) has gained increasing attention in the field of lunar
Jiangwan Xu, Chunyu Ding, Yan Su, Zonghua Ding, Song Yang, Jiawei Li, Zehua Dong, Ravi Sharma, Xiaohang Qiu, Zhonghan Lei, Haoyu Chen, Changzhi Jiang, Wentao Chen, Qi Cheng, Zihang Liang   +14 more
doaj   +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

Effects of cooking methods on the physicochemical, textural and microstructural properties of hot salt puffed germinated brown rice

Journal of Agriculture and Food Research
This research investigates the effect of cooking methods prior to puffing on the quality of puffed germinated brown rice (GBR). The cooking methods include parboiling and steaming (PS), electric rice cooking (EC), ultrasonic pretreatment and parboiling ...
Saksit Sonsomboonsuk, Tiraporn Junyusen, Pornpimol Moolkaew, Payungsak Junyusen, Tawarat Treeamnuk, Peerawat Taengsopha, Natthaporn Chatchavanthatri, Siriwan Nawong, Phakkhananan Pakawanit   +8 more
doaj   +1 more source

Monoallelic POLR3A Variants Cause Early‐Onset Peripheral Neuropathy

Annals of Neurology, EarlyView.
Objective Biallelic variants in genes encoding the RNA polymerase III complex (Pol III) cause a spectrum of neurological disorders primarily affecting the central nervous system. Monoallelic variants have been reported in the POLR3B subunit only, associated with neurodevelopmental disorder, epilepsy, and peripheral neuropathy.
Luiza L. P. Ramos, Jevin M. Parmar, Robin Wijngaard, Bianca R. Grosz, Tamas Lazar, Ligia Mateiu, Steve Vucic, Kishore R. Kumar, Dennis Yeow, Laura I. Rudaks, Lonneke de Boer, Annemarie de Vreugd, David A. Koolen, Thatjana Gardeitchik, Anita Cairns, Krishnan Iyengar, Fernando Kok, Fernanda Barbosa Figueiredo, Alzira Alves de Siqueira Carvalho, Luiz S. Mageste Barbosa, Rodrigo Rezende Arantes, Tyler Rehbein, Jordan E. Bontrager, Elizabeth P. Wood, Janet E. Sowden, Gavin Monahan, Meutia Kumaheri, Ivy Cuijt, Melina Ellis, Gonzalo Perez‐Siles, Elyshia McNamara, Ronald van Beek, Celine B. Meijers, Ivaylo Tournev, Stephan Zuchner, Shoshana J. Wodak, Clara D. M. van Karnebeek, Nigel Laing, Liana N. Semcesen, David A. Stroud, David N. Herrmann, Velina Guergueltcheva, Marina L. Kennerson, Machteld M. Oud, Gianina Ravenscroft, Ayse Candayan, Albena Jordanova   +46 more
wiley   +1 more source