Results 191 to 200 of about 3,188,928 (255)

Is There a Market for Organic Milk in Serbia? Insights From Integrated Choice and Latent Variable Model

Agribusiness, EarlyView.
ABSTRACT Past growth in the global organic market has been concentrated in high‐income countries, while in middle‐income countries such as Serbia the organic market remains nascent and characterized by a sparse assortment of organic products, high retail premia and limited evidence on consumer preferences and their drivers.
Milan Tatic, Sanja Dzever, Bojan Matkovski, Danilo Djokic   +3 more
wiley   +1 more source

Modeling and optimizing trust-mediated influence in temporal heterogeneous networks. [PDF]

PLoS One
Chen F.
europepmc   +1 more source

Reconfiguring Fresh Produce Supply Chains in Response to Drought Risk: Evidence From the U.S. Broccoli Market

Agribusiness, EarlyView.
ABSTRACT Drought is among the most severe and persistent threats to food supply chains, and relocating production to less drought‐prone regions offers a strategy to reduce this risk. This is particularly relevant for fresh vegetables, which are highly water‐intensive, yet drought‐driven reconfiguration strategies remain understudied.
Bingyan Dai, Miguel I. Gómez, Harry M. Kaiser   +2 more
wiley   +1 more source

An Innovative Patient Stratification Tool Integrating Clinical and Economic Data for Benchmarking Oncology and Hematology Care: The PATONCOS System. [PDF]

J Clin Med
Moreno-Díaz R, Melgarejo-Ortuño A, Monje-García B, Delgado-Téllez de Cepeda L, Fernández-Román AB, Manso-Manrique M, Letéllez-Fernández J, Candel-García B, Sánchez-Guerrero A, Amor-García MÁ, García-Gil M, Valverde-Merino MI, García-Sánchez FJ, Calleja-Hernández MÁ.   +13 more
europepmc   +1 more source

Value of Information of Improved Traceability in Fresh Produce Markets

Agribusiness, EarlyView.
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris, Mark R. Manfredo, Michael N. Kozicki   +2 more
wiley   +1 more source

Monitoring horse behaviour with deep learning models. [PDF]

Vet Q
Giannone C, Maccario C, Dalla Costa E, Atallah E, Bovo M.   +4 more
europepmc   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

NephroNet: a calibration-aware, patient-disjoint benchmark for multiclass kidney CT classification with a compact depthwise-separable CNN. [PDF]

Front Med (Lausanne)
Dong Y, Akter Muni M, Islam R, Tasnim S, Shahid Juthi S, Jahirul Islam M, Fassi MA, Sharif Robbani M, Zareen S, Hiu Lee YC.   +9 more
europepmc   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source