Results 131 to 140 of about 222,641 (306)

Price Transmission and Leadership in the Global Poultry Market: Results From Parametric and Nonparametric Approaches

open access: yesAgribusiness, EarlyView.
ABSTRACT Brazil and the United States account for more than 40% of global poultry exports, with China and South Korea among their major destination markets. This study examines price transmission and market linkages between Brazil and the United States using monthly poultry export price data from January 1990 to December 2024. It also assesses which of
Khondoker Abdul Mottaleb   +2 more
wiley   +1 more source

When the River Runs Low: Heterogeneous Impacts of Transportation Disruptions on Local Grain Basis

open access: yesAgribusiness, EarlyView.
ABSTRACT A substantial share of U.S. soybean and corn exports from the Midwest moves by barge along the Mississippi River system to export terminals in the Louisiana Gulf. Transportation costs between Midwestern grain elevators and export terminals create a wedge between prices at these locations, and shocks to these costs are partially passed on to ...
Yuan Zhang   +3 more
wiley   +1 more source

The Export Growth of Pakistan: A Decomposition Analysis [PDF]

open access: yes
The Constant Market Share Analysis of export growth is used here to capture the world trade effect, the commodity composition effect, the market distribution effect and the competitiveness effect for the periods: 1984-85–1988-89 and 1988-89–1992-93.
Azhar Mahmood, Naeem Akhtar
core  

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

Analyzing trade competitiveness : a diagnostics approach [PDF]

open access: yes
Trade has proven to be a powerful engine of growth worldwide. But not all countries have benefited equally. Despite much effort to use trade policy to catalyze exports, many developing countries have failed to achieve successful, sustainable export and ...
Farole, Thomas   +2 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

Stereoselective Biotransformation: Transfer of Learning to Advance Drug Metabolism and Biocatalysis

open access: yesAngewandte Chemie, EarlyView.
Understanding stereoselective biotransformations has implications for predicting drug disposition and response and may also inspire novel biocatalytic and biomimetic strategies to address challenges in metabolite and API synthesis. ABSTRACT Chirality is an important determinant of drug action, as enantiomers can exhibit markedly different ...
Grace A. Okunlola, Godwin A. Aleku
wiley   +2 more sources

The competitiveness of Spanish tomato export in the European Union [PDF]

open access: yes
This paper examines the export performance of Spanish tomatoes in the European Union (EU). The origins and destinations of Spanish tomato exports are examined: Almeria is the main exporting province and Germany the biggest client.
Jaime De Pablo Valenciano   +1 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

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