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variance, etc ; bananas; color; firmness; fruits; light transmission; storage time; texture; vegetables; Show all 9 Subjects
Abstract:
... In this work, the capacity of the laser scattering imaging, combined with predesigned convolutional neural networks was studied to model the textural variability of pre-processed banana as vegetable tissue. Three different imaging embedders (Inception V3, Painters and VGG19) and four types of images (based on colour channels RGB) were tested for that purpose. Two batches of bananas were stored for ...
variance, etc ; alternative fuels; biomass; coal; combustion; corn; heating systems; pollutants; straw; villages; China; Show all 11 Subjects
Abstract:
... Straw pellets are widely promoted and expected to be a cleaner alternative fuel to unprocessed crop residues and raw coal in rural China. However, the effectiveness of these dissemination programs is not well evaluated. In this field study, emission characteristics of burning straw pellets, raw coal, and unprocessed corn cobs in heating stoves were investigated in a pilot village in Northeast Chin ...
variance, etc ; appetite; cognition; food choices; food intake; food quality; lipid content; males; near-infrared spectroscopy; obesity; prefrontal cortex; public health; questionnaires; sweetness; test meals; China; Show all 16 Subjects
Abstract:
... Adverse neurobehavioral responses to food could be one of the contributing factors to obesity in China, which is a major public health issue. There is a need for methodologies to better understand the cognitive processes and neural mechanisms underlying eating behaviors. This study investigated neurobehavioral markers of food preference and reward in pre- and post-meal states, and their associatio ...
analysis of variance; variance, etc ; data collection; heteroskedasticity; linear models; rice; Show all 6 Subjects
Abstract:
... Although genome-wide association studies are widely used to mine genes for quantitative traits, the effects to be estimated are confounded, and the methodologies for detecting interactions are imperfect. To address these issues, the mixed model proposed here first estimates the genotypic effects for AA, Aa, and aa, and the genotypic polygenic background replaces additive and dominance polygenic ba ...
... Exposure to the natural environment has been associated with cognitive benefits. Attention Restoration Theory (ART) proposes that the physical environment, including the natural environment, can be cognitively restorative if the setting embodies a set of high-level qualities (e.g., fascination). However, these restorative qualities are typically measured subjectively. In this study, we examined wh ...
... One of the principal purposes of using energy storage systems (ESS) are peak shaving and load smoothing. In the present study, a novel control algorithm has been developed in order to the optimal use of ESS for peak load shaving. First, by comparing the complex control algorithm of the present study with the control algorithm developed by other researchers (simple control algorithm), the superiori ...
... Vehicles are important targets in the remote sensing applications and nighttime vehicle detection has been a hot study topic in recent years. Vehicles in the visible images at nighttime have inadequate features for object detection. Infrared images retain the contours of vehicles while they lose the color information. Thus, it is valuable to fuse infrared and visible images to improve the vehicle ...
genetic variance; variance, etc ; dairy goats; early lactation; heritability; lactation curve; milk yield; models; Show all 8 Subjects
Abstract:
... The present investigation aimed at genetic evaluation of tropical Indian dairy Jamunapari goat using random regression models (RRM) for the estimation of genetic parameters in the first three lactations across test days (TD) and also to come out with a pragmatic breeding plan in the nucleus. Variations in the lactation curves were modelled using 67,172 TD milk yield (TDMY) records. To obtain adequ ...
genetic variance; variance, etc ; diploidy; eukaryotic cells; evolution; gene duplication; mutation; phenotype; probability; tetraploidy; Show all 10 Subjects
Abstract:
... Whole‐genome duplication is a common mutation in eukaryotes with far‐reaching phenotypic effects. The resulting morphological, physiological and fitness consequences and how they affect the survival probability of polyploid lineages are intensively studied, but little is known about the effect of genome doubling on the evolutionary potential of populations. Historically, it has been argued polyplo ...
... Standardization has been a widely adopted practice in multiple testing, for it takes into account the variability in sampling and makes the test statistics comparable across different study units. However, despite conventional wisdom to the contrary, we show that there can be a significant loss in information from basing hypothesis tests on standardized statistics rather than the full data. We dev ...
... Stock abundance can be estimated directly from multiple vessel survey catches if variations in catch efficiency are understood. Catch efficiencies and scallop densities were estimated from a depletion experiment using five commercial dredge vessels, to assess how much the catch efficiency of multiple vessels differed across a small area. Each vessel sampled pre-defined lanes across a gradient of i ...
... We propose a new finite sample corrected variance estimator for the linear generalized method of moments (GMM) including the one-step, two-step, and iterated estimators. Our formula also corrects the over-identification bias in variance estimation on top of the commonly used finite sample correction of Windmeijer (2005), which corrects the bias from estimating the efficient weight matrix, so is do ...
... This study aimed to investigate the effects of incidence rate, heritability, and polygenic variance on the statistical power of genome-wide association studies (GWAS) for threshold traits. Different incidence rates of threshold trait (1, 3, 5, 10, 25, 40, 50, 60, 75 and 90%), heritability (10 and 25%), and polygenic variance ratio (0 and 25%) were simulated separately for common (MAF ≥ 0.05), low- ...
... Due to the fact that social media has become an integral part of daily life, particularly in the new normal society, there are few instruments for measuring social media usage with a cut-off score. As a reason, the objective of this study was to develop a Thai-Social Media Engagement Scale (T-SMES) that has been verified for validity and reliability as well as a cut-off score for interpretation. D ...
... Return volatility usually presents a degree of persistence, which, although still consistent with an essential stationary process, cannot be adequately captured by standard autoregressive specifications. In this study, we examine the transmission mechanism across petroleum volatilities accounting for this stylized fact. To do so, we compute both time and frequency domain measures of connectedness ...
... In this article, we study local perceptions of the Block Island Offshore Wind Project (United States) by evaluating both cognitive (rational) and affective (emotional) responses with the goal of learning about how each relates to project support and opposition and how a nearby island population differs from that of the coastal residents farther away. Multivariate regression is used and relies on a ...
... This paper examines the relative tendency of industries and industry clusters to be geographically concentrated. Creative industries defined as having distinct artistic creation and production-distribution components are examined. This extends previous observations that creative industries exhibit a relatively high degree of geographic concentration to examine whether two-sided market dynamics con ...
... A standard way to move particles in a sequential Monte Carlo (SMC) sampler is to apply several steps of a Markov chain Monte Carlo (MCMC) kernel. Unfortunately, it is not clear how many steps need to be performed for optimal performance. In addition, the output of the intermediate steps are discarded and thus wasted somehow. We propose a new, waste‐free SMC algorithm which uses the outputs of all ...
... The emission inventories of cesium-137 resulting from the wildfires in the Chernobyl Exclusion Zone (3–24 April 2020) and from the dust storm (16–17 April 2020), which resuspended contaminated ash, were estimated using inverse modeling. The goal of this work was to take into account uncertainties of inexactly known source term and meteorological input data for evaluation of emission inventories an ...
... Stochastic models play a crucial role in global navigation satellite systems (GNSS) data processing. Many studies contribute to the stochastic modeling of GNSS observation noise, whereas few studies focus on the stochastic modeling of process noise. This paper proposes a method that is able to jointly estimate the variances of observation noise and process noise. The method is flexible since it is ...