Results 161 to 170 of about 689,135 (259)

Food Security Strategy, Macroeconomic Dynamics and Food Import Sensitivity in Qatar

open access: yesAgribusiness, EarlyView.
ABSTRACT Qatar has limited agricultural land and water resources and therefore remains highly dependent on food imports. This structural dependency makes Qatar vulnerable to external shocks such as the recent Gulf crisis, threatening food security and disrupting global supply chains. In response to previous shocks, Qatar started implementing a National
Hansini Ranjan   +5 more
wiley   +1 more source

Export entrepreneurs : evidence from Peru [PDF]

open access: yes
This paper examines firm entryand survival in exporting, and in products and markets not previously served by any domestic exporters. The authors use data on the nontraditional agriculture sector in Peru, which grew seven-fold from 1994 to 2007.
Freund, Caroline   +1 more
core  

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

open access: yesAdvanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri   +6 more
wiley   +1 more source

How the Dragon Captured the World Export Markets: Outsourcing and Foreign Investment Lead the Way [PDF]

open access: yes
This paper explores several theories regarding how China has become highly successful in capturing world export markets. The paper concludes that increased competitiveness is dependant on, but not limited to several factors discussed in detail including,
F. Gerard Adams   +2 more
core  

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

open access: yesAdvanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta   +3 more
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica   +38 more
wiley   +1 more source

Intermolecular Carbon–Carbon Naphthalene Coupling Involves a Radical Mechanism Driven by Cytochrome P450 in Alternaria alternata

open access: yesAngewandte Chemie, EarlyView.
1,8‐DHN is an important intermediate to form complex aromatic ring systems. Phenol‐coupling reactions are important for the dimerization of two molecules. Here, we show that a fungal cytochrome P450 enzyme catalyzes specific C─C bonds. ABSTRACT Dihydroxynaphthalene (DHN) derivatives are precursors of biologically important molecules, including melanin ...
Jia Gao   +8 more
wiley   +2 more sources

Dual‐View Representation Learning for Deployable Humanoid Whole‐Body Control

open access: yesAdvanced Intelligent Systems, EarlyView.
Humanoid robots must learn control from limited onboard sensing, although simulation provides richer training‐only states. DVP learning pairs these views of each simulated motion and aligns their latent control features inside the policy‐learning loop. This direct, deployment‐aware supervision accelerates learning while the deployed policy relies only ...
Haolin Song   +3 more
wiley   +1 more source

Causal analysis of trade loss from pathogens: A global study of foot and mouth disease impacts on meat exports

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman   +1 more
wiley   +1 more source

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