Results 61 to 70 of about 92,357 (305)

A Gamma-distributed stochastic frontier model [PDF]

open access: yesJournal of Econometrics, 1990
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D

open access: yesAdvanced 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

Anionic Liposomes as Optimal Membrane Fusion Carriers Enabling in Situ Multiplexed Detection of Extracellular Vesicle MicroRNAs

open access: yesAdvanced 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

ANALISIS KINERJA USAHATANI PADI SAWAH DI KECAMATAN TENGGARONG SEBERANG DENGAN PENDEKATAN STOCHASTIC FRONTIER ANALYSIS

open access: yesZiraa'ah: Majalah Ilmiah Pertanian
Analysis of Paddy Farming Performance in Tenggarong Seberang with Stochastic Frontier Analysis Approach.  Providing food, especially rice, requires efforts to increase the productivity of rice farming.
Mariyah Mariyah   +2 more
doaj   +1 more source

Measuring and explaining farm inefficiency in a panel data set of mixed farms [PDF]

open access: yes
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  

Stochastic frontiers: a semiparametric approach [PDF]

open access: yes, 1983
This paper generalizes the results of Hausman and Taylor (1981), Schmidt and Sickles (1984), Cornwell, Schmidt and Sickles (1990) and Park and Simar (1992) to the efficient IV estimation of panel models in which the random effects are correlated with a subset of the regressors.
PARK, Byeong   +2 more
openaire   +1 more source

Passivation‐Induced Species Dynamics and Microstructural Evolution in Solid‐State Lithium–Sulfur Cathodes

open access: yesAdvanced 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

A Comparison of Economic Efficiency of Monoculture and Multiple Cropping Patterns: The Case of Cassava Farming in Ende, Indonesia

open access: yesCaraka Tani: Journal of Sustainable Agriculture, 2020
Nuabosi cassava is an alternative carbohydrate source for the community, which is expected to be a substitute for rice. This commodity has the potential to be developed, but is limited in resources, so it requires technological breakthroughs.
Willybrordus Lanamana   +1 more
doaj   +1 more source

Estimating fixed-effect panel stochastic frontier models by model transformation [PDF]

open access: yes
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
core   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

open access: yesAdvanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang   +9 more
wiley   +1 more source

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