Results 71 to 80 of about 52,750 (303)

INFLUÊNCIA DA IMAGEM E PERCEPÇÃO DE VALOR NA INTENÇÃO DE COMPRA DE CARNE DE FRANGO: UM ESTUDO QUANTITATIVO

open access: yesRACE: Revista de Administração, Contabilidade e Economia, 2015
O Brasil ocupa, atualmente, posição destacada no cenário mundial como produtor e exportador de carne de frango, gerando empregos e a permanência do homem no campo.
Deonir De Toni   +3 more
doaj   +1 more source

Fracture evolution of a thick soft protection layer and the water inrush mechanism in overburden under longwall mining

open access: yesDeep Underground Science and Engineering, EarlyView.
Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu   +4 more
wiley   +1 more source

Modelos Mentais dos Empreendedores e o Desempenho Organizacional: um ensaio teórico

open access: yesDesenvolvimento em Questão, 2020
Um modelo mental é uma representação dinâmica, uma simulação do mundo, que estabelece a forma pela qual o indivíduo entende, observa, armazena e acessa as informações.
Deise Taiana de Ávila Dias   +4 more
doaj   +1 more source

Mechanistic insights across curing regimes for enzymatic and biopolymer‐optimized reinforcement in rock masses

open access: yesDeep Underground Science and Engineering, EarlyView.
This study examines the effects of curing temperature on the mechanical behavior of underground rock masses treated with enzyme‐induced calcite precipitation (EICP) and an innovative biopolymer‐modified EICP (BP‐EICP). Abstract Biocementation is an innovative and sustainable technique for reinforcing weak and weathered rock masses in natural and ...
Mary C. Ngoma, Oladoyin Kolawole
wiley   +1 more source

Uniaxial compressive strength prediction and ratio parameter optimization of titanium tailings composite backfill materials using intelligent hybrid models

open access: yesDeep Underground Science and Engineering, EarlyView.
Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
wiley   +1 more source

Memórias dos 10 anos do curso de biblioteconomia da Universidade de Caxias do Sul (UCS)

open access: yes, 2023
Este trabalho que se constitui em relatos pessoais me remeteu à metáfora dos fios de memórias que, ao entrelaçarem-se, tornam-se uma memória única, como uma colcha que podemos chamar de Biblioteconomia UCS, que só é o que é pelas pessoas que aqui estão e

core  

TURISMO: FERRAMENTA DE DESENVOLVIMENTO DE REGIÕES

open access: yesRevista Gestão e Desenvolvimento, 2015
Esse artigo tem como foco a Mesorregião Metade Sul do estado do Rio Grande do Sul com suas regiões e microrregiões, descrevendo as cidades que as compõe com alguns de seus dados demográficos, econômicos e culturais; a estrutura de serviços para o turismo,
Michele Vasconcellos Chiattone   +3 more
doaj   +1 more source

Dissociation between implicit and explicit responses in postconditioning UCS revaluation after fear conditioning in humans

open access: yesBehavioral Neuroscience, 2013
The nature of the relationship between explicit and implicit learning is a topic of considerable debate. In order to investigate this relationship we conducted two experiments on postconditioning revaluation of the unconditional stimulus (UCS) in human ...
D. Schultz   +3 more
semanticscholar   +1 more source

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

open access: yesDeep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source

Topology preserving resampling of the OSA-UCS

open access: yes, 2007
Resampling of the OSA-UCS color ...
J. Sequeira   +4 more
core   +1 more source

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