Results 121 to 130 of about 6,074,534 (244)

Artificial structures for human‐machine interfaces with closed‐loop interaction

FlexMat, EarlyView.
Artificial structures bridge sensing and feedback in closed‐loop human‐machine interfaces by providing geometry‐enabled mechanical and functional programmability. This review maps the role of artificial structures in diverse sensing modalities and feedback strategies, and illustrates their integration into closed‐loop interaction systems, highlighting ...
Taiqi Hu, Taisong Pan, Siqi Chen, Yiting Zhang, Yuan Lin   +4 more
wiley   +1 more source

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

Food Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob, Azman Abdullah, Gunesh Kumar, Samreen Memon, Naila Afghan   +4 more
wiley   +1 more source

Citrus Essential Oils in Food Safety and Health: Advances in AI‐Assisted Authentication, Antimicrobial Applications, Sustainable Extraction, and Regulatory Translation

Food Safety and Health, EarlyView.
Citrus essential oils combine sustainable extraction, AI‐assisted authentication, multi‐omics profiling, antimicrobial activity, and regulatory safety to enhance food quality, detect adulteration, and promote consumer health, and support intelligent, sustainable food systems through innovative industrial applications and circular bioeconomy strategies.
Md. Hassan Bin Nabi, Liza Akter, Yusuf Chowdhury, Mohima Akther Any, Nazmul Islam, Erni Sofia Murtini, Nurul Huda, Wahidu Zzaman   +7 more
wiley   +1 more source

Germline Cancer Predisposition and De Novo Contributions in Pediatric Rhabdomyosarcoma: A Report From the Children's Oncology Group

International Journal of Cancer, EarlyView.
ABSTRACT Approximately 6%–8% of children and adolescents with rhabdomyosarcoma (RMS) have an underlying cancer predisposition disorder (CPD), which varies between embryonal and alveolar subtypes and other clinical characteristics. Identifying a CPD remains challenging, as traditional approaches rely on clinical features and family history. Additionally,
Taylor M. Luckie, Sarah Scollon, Yao Yu, Aniko Sabo, Tiffany Chambers, Olga Taylor, Logan G. Spector, Michael E. Scheurer, Douglas S. Hawkins, Rajkumar Venkatramani, Chad D. Huff, Sharon E. Plon, Philip J. Lupo   +12 more
wiley   +1 more source

Wearable photovoltaic textiles: From device technologies to long‐term reliability

InfoScience, EarlyView.
Wearable photovoltaic textiles are highlighted as reliable energy sources that combine solar cell efficiency with hierarchical textile‐specific mechanical and environmental durability. Structural and encapsulation strategies, including planarization, neutral‐axis engineering, and advanced barrier designs, enable waterproofing, washability, UV shielding,
Eun Gyo Jeong, So Yeong Jeong, Yongmin Jeon, Myung Sub Lim, Seo‐Yoon Bae, Sung‐Min Lee   +5 more
wiley   +1 more source

Remote Sensing for Irrigation Water Management—The State of the Art and Prospects for Near‐Future Operations

Irrigation and Drainage, EarlyView.
ABSTRACT A recent UN report describes many regions as facing ‘water bankruptcy,’ a condition in which available water resources can no longer meet existing demands. In practice, this means irrigation will likely bear the greatest burden of future water‐use reductions, a complicated and fraught decision to make given its critical role in food security ...
Wim G. M. Bastiaanssen, Chris Perry, Royce Dalby, Yasir Mohamed, Xueliang Cai, Poolad Karimi, IJsbrand de Jong, Pasquale Steduto, Marat Beksultanov, Christopher C. M. Neale, David Molden, Waqas Awan, Laarousi Mohamed, Jippe Hoogeveen, Jeff Davids, Nutchanart Sriwongsitanon, P. S. Rao, Roula Bachour, Palitha Bandara, Sophea Chhim, Richard Evans, Tom Lahad, D. Nagesh Kumar, Zakaria Adawy, Devendra Singh Bundela, Kawa Hakzi, Isaya Kisekka, Nicolas Puelma, Alejandro A. Pannunzio, Benjamin Koetz, Mukhiddin Ibragimov   +30 more
wiley   +1 more source

Added Value of CESM‐Driven WRF for Mean and Extreme Precipitation Over Complex Terrain in Southwest Asia

International Journal of Climatology, EarlyView.
Southwest Asia remains understudied in high‐resolution regional climate modelling despite its climatic sensitivity and complex orography. We compare WRF (10 km), CESM (~2°), and ERA5 (0.25°) for 1950–2002, with supplementary validation against CHIRPS and PERSIANN‐CDR. WRF corrects the unrealistic summer precipitation overestimation of CESM and improves
Markella Bouchorikou, Thi Quynh Trang Nguyen, Dominik Fleitmann, Morteza Djamali, Martina Messmer, Christoph C. Raible   +5 more
wiley   +1 more source

Spatio‐Temporal Assessment of the Complementarity Between Hydroelectric, Wind and Solar Energy Sources for Northeastern Brazil

International Journal of Climatology, EarlyView.
Using 24 years of climate and hydrological data, this study quantifies the spatiotemporal complementarity among the water availability of the Sobradinho reservoir, wind and solar in Northeastern Brazil. The integration of hierarchical clustering and compromise programming reveals how seasonal variability and reservoir dynamics interact with atmospheric
Luan Santos de Oliveira Silva, Rosiberto Salustiano da Silva Júnior, Diogo Nunes da Silva Ramos, José Francisco de Oliveira Junior, Fernando Ramos Martins   +4 more
wiley   +1 more source

Future Soil Erosion Under Combined CMIP6 Climate Projections and Land Use/Land Cover Change: A RUSLE‐Based Assessment of the Kampe Omi Dam Basin in Nigeria

Land Degradation &Development, EarlyView.
ABSTRACT Soil erosion remains a major environmental challenge in Nigeria, driven by the combined effects of climate variability and land use/land cover (LULC) changes. Understanding future dynamics is essential for effective soil conservation planning.
Titus Adeyemi Alonge, Amos T. Kabo‐Bah, Lily Lisa Yevugah, Abdul‐Karim Iddrisu   +3 more
wiley   +1 more source

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

Land Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li, Qizhong Wu, Xueshun Chen, Jiang Yue, Jieying He, Huaqiong Cheng   +5 more
wiley   +1 more source