Results 61 to 70 of about 81,662 (309)
Identification and Stochastic Analysis of Factors Influencing Technical Inefficiency of Nigerian Smallholder Soybean Farmers [PDF]
Tropicultura, 2014 Smallholder soybean production is investigated using an econometric analysis otherwise known as stochastic frontier analysis through transcendental logarithmic (translog) production function, which incorporates an inefficiency effects model.
Otitoju, MA., Adebo, GM., Arene, CJ.
doaj
Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries
Advanced Science, EarlyView.While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang +3 more
wiley +1 more source
Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D
Advanced Science, EarlyView.CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley +1 more source
Journal of the Saudi Society of Agricultural Sciences, 2019 Efficient use of inputs is very essential for broiler farmers to get the maximum possible output for enhancing productivity and ultimately profit of the farm.
Irfan Ullah +3 more
doaj +1 more source
Advanced Science, EarlyView.A novel strategy for in situ multiplexed miRNA analysis of plasma extracellular vesicles (EValarm) has been developed. EValarm enables straightforward detection of different extracellular vesicle miRNAs from plasma samples through systematic screening of liposome surface charges, without requiring complex pretreatment steps, and achieves satisfactory ...
Jing‐Yuan Ma +13 more
wiley +1 more source
Estimating fixed-effect panel stochastic frontier models by model transformation [PDF]
Traditional panel stochastic frontier models do not distinguish between unobserved individual heterogeneity and inefficiency. They thus force all time-invariant individual heterogeneity into the estimated inefficiency. Greene (2005) proposes a true fixed-
Ho, Chia-Wen, Wang, Hung-Jen
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Oriented Stochastic Data Envelopment Models: Ranking Comparison to Stochastic Frontier Approach [PDF]
SSRN Electronic Journal, 2005 Results of data envelopment analysis sensitively respond to stochastic noise in the data. In this paper, by introduction of output augmentation and input reduction I extend additive models for stochastic data envelopment analysis (SDEA), which were developed by Li (1998) to handle the noise in the data. Applying the linearization procedure by Li (1998)
openaire +2 more sources
Advanced Science, EarlyView.The formation of insulating Li2S during discharge in solid‐state lithium–sulfur batteries passivate reaction sites and limits sulfur utilization. In this work, a microstructure‐resolved modeling framework coupling transport and reaction kinetics is developed to predict charge–discharge behavior and reveal particle‐scale species evolution and incomplete
Arpan K. Sharma +4 more
wiley +1 more source
Mathematics, 2020 This paper studies the time-consistent optimal investment and reinsurance problem for mean-variance insurers when considering both stochastic interest rate and stochastic volatility in the financial market.
Jiaqi Zhu, Shenghong Li
doaj +1 more source
Measuring and explaining farm inefficiency in a panel data set of mixed farms [PDF]
This paper aims to estimate a translog stochastic frontier production function in the analysis of a panel of 150 mixed Catalan farms in the period 1989-1993, in order to attempt to measure and explain variation in technical inefficiency scores with a one-
Jaume Puig, Josep M. Argilés
core