Results 21 to 30 of about 591,132 (266)
What is the most sensitive measure of water maze probe test performance?
Frontiers in Integrative Neuroscience, 2009 The water maze is commonly used to assay spatial cognition, or, more generally, learning and memory in experimental rodent models. In the water maze, mice or rats are trained to navigate to a platform located below the water’s surface.
Hamid R Maei +11 more
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Energies, 2020 The analyzed research issue provides a model for Carbon Footprint estimation at an early design stage. In the context of climate neutrality, it is important to introduce regenerative design practices in the architect’s design process, especially in early
Mateusz Płoszaj-Mazurek +2 more
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Window from East to West: Blending Mandala Units with Contemporary Interior Design and Furniture [PDF]
Journal of Architecture, Art & Humanistic Science, 2022 Art is one of the means that express the environment and individuals to understand human civilizations. India is considered one of the Far Eastern countries with rich artistic heritage and many myths, and magic that are reflected in the customs and ...
Lina Nageb Fewella
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Parametric autoresonance [PDF]
Physical Review E, 2001 We investigate parametric autoresonance: a persisting phase locking which occurs when the driving frequency of a parametrically excited nonlinear oscillator slowly varies with time. In this regime, the resonant excitation is continuous and unarrested by the oscillator nonlinearity.
Khain, Evgeniy, Meerson, Baruch
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Comparison of Parametric and Nonparametric Forecasting Methods for Daily COVID-19 Cases in Malaysia
JOIV: International Journal on Informatics Visualization, 2023 Numerous research studies are currently examining various measures to control the transmission of COVID-19. One essential task in this regard is predicting or forecasting the number of infected individuals.
I Made Artha Agastya, Afrig Aminuddin
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Parametrically Guided Non‐parametric Regression [PDF]
Scandinavian Journal of Statistics, 1998 We present a new approach to regression function estimation in which a non‐parametric regression estimator is guided by a parametric pilot estimate with the aim of reducing the bias. New classes of parametrically guided kernel weighted local polynomial estimators are introduced and formulae for asymptotic expectation and variance, hence approximated ...
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ARTEKS : Jurnal Teknik Arsitektur, 2021 The annual growth of energy consumption in both residential and public buildings has been established globally as been significantly increasing. Therefore, the proposed active and passive building designs are intended to provide convenience and greatly ...
Aldhi Nugraha Anantama, Agus Hariyadi
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Integrated model for genomic prediction under additive and non-additive genetic architecture
Frontiers in Plant Science, 2022 Using data from genome-wide molecular markers, genomic selection procedures have proved useful for estimating breeding values and phenotypic prediction. The link between an individual genotype and phenotype has been modelled using a number of parametric ...
Neeraj Budhlakoti +6 more
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Development of a Simplified Human Body Model for Movement Simulations
Applied SciencesThe main goal of this paper is to develop a simplified model of the human body motion system that enables its application for movement simulations and the analysis of the kinematic and dynamic parameters occurring during the performance of activities ...
Michał Olinski, Przemysław Marciniak
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Plasma, 2022 This paper describes a family of relatively simple numerical models for calculation of asymmetric electromagnetic (EM) loads at all tokamak structures and coils at asymmetric vertical plasma displacement events (AVDE). Unlike currently known AVDE studies
Sergey Sadakov +3 more
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