Results 161 to 170 of about 472,806 (301)

Drivers of Farmers' Contract Compliance Behavior: Evidence From a Case Study of Dangote Tomato Processing Plant in Northern Nigeria

Agribusiness, EarlyView.
ABSTRACT Contract farming is a viable strategy agribusinesses rely on to strengthen coordination across actors in the value chain. However, low contract compliance remains a significant setback to agribusinesses' contract performance in low‐ and middle‐income country context.
Umar Shehu Umar, Sanzidur Rahman, Giacomo Zanello   +2 more
wiley   +1 more source

Acute Effects of High-Load Training to Failure vs. Non-Failure on Posture and Core Endurance in Collegiate Weightlifters: A Crossover Study. [PDF]

J Clin Med
Abdelraouf OR, Abdel-Aziem AA, Alkhamees NH, Ibrahim ZM, Aboelela EM, Dawood RS, Ashour AA.   +6 more
europepmc   +1 more source

From continuous to interruptible distillation: Flexible electric heating column architecture with fast start‐up

AIChE Journal, EarlyView.
Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley   +1 more source

Ultrasound-Guided Calcific Barbotage for Rotator Cuff Calcific Tendinopathy: A Case Report. [PDF]

Cureus
Rum L, Elder KE, Suchak N.
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Analysis of vertical AND flash memory for energy-efficient, scalable, fast CIM beyond vertical NAND flash memory. [PDF]

Nano Converg
Ko J, Im J, Park SH, Gu J, Cho J, Hwang J, Koo RH, Kim J, Woo SY, Lee JH.   +9 more
europepmc   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Enhanced Security of Bidirectional Communication in IoT-Driven Utility Networks Using Sertainty UXP and LoRaWAN. [PDF]

Sensors (Basel)
Simin ZA, Aslan S, Carvalho MM, Valles D.   +3 more
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

From Levin's Universal Search to Policy-Guided Tree Search. [PDF]

Entropy (Basel)
Li M.
europepmc   +1 more source