Results 161 to 170 of about 28,600 (293)

Not All Agreements Are Equal: Heterogeneous Effects of RTAs on Latin American Agri‐Food Exports, 1990–2019

Agribusiness, EarlyView.
ABSTRACT Since the final decade of the 20th century, Latin American countries have increasingly regarded the signing of regional trade agreements (RTAs) as a promising strategy for expanding their exports. Within this context, the main objective of this study is to assess the impact of RTAs on agri‐food exports in Latin America over the period 1990 ...
María‐Isabel Ayuda, Ignacio Belloc, Vicente Pinilla   +2 more
wiley   +1 more source

Markov properties of cluster processes [PDF]

We show that a Poisson cluster point process is a nearest-neighbour Markov point process [2] if the clusters have uniformly bounded diameter. It is typically not a finite-range Markov point process in the sense of Ripley and Kelly [12]. Furthermore, when

core  

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

Exploratory Analysis of Factors Associated With the Recovery of Erectile Dysfunction After Rectal Cancer Surgery (Sub‐Analysis of LANDMARC Trial)

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Erectile dysfunction (ErD) is an important complication after rectal cancer surgery, however a substantial proportion of patients experience functional recovery over time. Evidence regarding which patients are more likely to recover remains limited.
Ryosuke Mizuno, Koya Hida, Masakatsu Numata, Takashi Sakamoto, Kazutaka Obama, Akio Shiomi, Ryo Inada, Manabu Shiozawa, Mayumi Ozawa, Masanori Hotchi, Daisuke Yamamoto, Suguru Hasegawa, Masashi Miguchi, Shinobu Ohnuma, Tomohiro Yamaguchi, Tomonori Akagi, Yusuke Kinugasa, Shigeki Yamaguchi, Hiroyasu Kagawa, Masahiko Watanabe, Takeshi Naitoh, Ichiro Takemasa   +21 more
wiley   +1 more source

Spiking neural models for decision-making tasks with learning. [PDF]

J Math Biol
Jaffard S, Mezzadri G, Reynaud-Bouret P, Tanré E.   +3 more
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Modeling insurance claims using Bayesian nonparametric regression. [PDF]

PLoS One
Shams M, Ghosh K.
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Spatiotemporal clusters and dengue hotspots in the Philippines: a nationwide analysis spanning 2017-2024. [PDF]

Front Public Health
Olana KOA, Thongprachum A, Poprom N, Punyapornwithaya V.   +3 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source