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You searched for: Subject "variance" Remove constraint Subject: "variance"
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1. Laser scattering imaging combined with CNNs to model the textural variability in a vegetable food tissue

Author:
Samuel Verdú; José M. Barat; Raúl Grau
Source:
Journal of food engineering 2023 v.336 pp. 111199
ISSN:
0260-8774
Subject:
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 ...
DOI:
10.1016/j.jfoodeng.2022.111199

2. Field assessment of straw pellet combustion in improved heating stoves in rural Northeast China

Author:
Yafei Liu; Zhimin Li; Emily Floess; You Zhang; Nicholas Lam; Sylvester K. Mawusi; Prabin Shrestha; Xinghua Li; Chunyu Xue; Guangqing Liu
Source:
Journal of environmental sciences (China) 2023 v.127 pp. 295-307
ISSN:
1001-0742
Subject:
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 ...
DOI:
10.1016/j.jes.2022.05.046

3. Neurobehavioral markers of food preference and reward in fasted and fed states and their association with eating behaviors in young Chinese adults

Author:
Yu Zhou; Pauline Oustric; Xiawen Li; Hao Zhu; Graham Finlayson; Chenglin Zhou
Source:
Food quality and preference 2023 v.103 pp. 104689
ISSN:
0950-3293
Subject:
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 ...
DOI:
10.1016/j.foodqual.2022.104689

4. A compressed variance component mixed model for detecting QTNs and QTN-by-environment and QTN-by-QTN interactions in genome-wide association studies

Author:
Mei Li; Ya-Wen Zhang; Ze-Chang Zhang; Yu Xiang; Ming-Hui Liu; Ya-Hui Zhou; Jian-Fang Zuo; Han-Qing Zhang; Ying Chen; Yuan-Ming Zhang
Source:
Molecular plant 2022 v.15 no.4 pp. 630-650
ISSN:
1674-2052
Subject:
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 ...
DOI:
10.1016/j.molp.2022.02.012

5. Are low-level visual features of scenes associated with perceived restorative qualities?

Author:
Elif Celikors; Nancy M. Wells
Source:
Journal of environmental psychology 2022 v.81 pp. 101800
ISSN:
0272-4944
Subject:
variance,   etc   ; cognition; color;     Show all 3 Subjects
Abstract:
... 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 ...
DOI:
10.1016/j.jenvp.2022.101800

6. Introducing a novel control algorithm and scheduling procedure for optimal operation of energy storage systems

Author:
Armin Ebrahimi; Masoud Ziabasharhagh
Source:
Energy 2022 v.252 pp. 123991
ISSN:
0360-5442
Subject:
variance,   etc   ; algorithms; energy;     Show all 3 Subjects
Abstract:
... 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 ...
DOI:
10.1016/j.energy.2022.123991

7. GF-Detection: Fusion with GAN of Infrared and Visible Images for Vehicle Detection at Nighttime

Author:
Peng Gao; Tian Tian; Tianming Zhao; Linfeng Li; Nan Zhang; Jinwen Tian
Source:
Remote Sensing 2022 v.14 no.12 pp. -
ISSN:
2072-4292
Subject:
variance,   etc   ; color; models;     Show all 3 Subjects
Abstract:
... 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 ...
DOI:
10.3390/rs14122771

8. Fitting random regression models with Legendre polynomial and B‐spline to model the lactation curve for Indian dairy goat of semi‐arid tropic

Author:
Mahesh Shivanand Dige; Pramod Kumar Rout; Manoj Kumar Singh; Saket Bhusan; Gopal Ramdasji Gowane
Source:
Journal of animal breeding and genetics 2022 v.139 no.4 pp. 414-422
ISSN:
0931-2668
Subject:
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 ...
DOI:
10.1111/jbg.12678

9. The evolution of the additive variance of a trait under stabilizing selection after autopolyploidization

Author:
Josselin Clo
Source:
Journal of evolutionary biology 2022 v.35 no.6 pp. 891-897
ISSN:
1010-061X
Subject:
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 ...
DOI:
10.1111/jeb.14010

10. Heteroscedasticity-Adjusted Ranking and Thresholding for Large-Scale Multiple Testing

Author:
Luella Fu; Bowen Gang; Gareth M. James; Wenguang Sun
Source:
Journal of the American Statistical Association 2022 v.117 no.538 pp. 1028-1040
ISSN:
1537-274X
Subject:
variance,   etc   ; microarray technology; myeloma;     Show all 3 Subjects
Abstract:
... 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 ...
DOI:
10.1080/01621459.2020.1840992

11. Potential highly variable catch efficiency estimates complicate estimation of abundance

Author:
Adam J. Delargy; Gwladys I. Lambert; Michel J. Kaiser; Jan G. Hiddink
Source:
Fisheries research 2022 v.245 pp. 106138
ISSN:
0165-7836
Subject:
variance,   etc   ; research; scallops; surveys;     Show all 4 Subjects
Abstract:
... 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 ...
DOI:
10.1016/j.fishres.2021.106138

12. A doubly corrected robust variance estimator for linear GMM

Author:
Jungbin Hwang; Byunghoon Kang; Seojeong Lee
Source:
Journal of econometrics 2022 v.229 no.2 pp. 276-298
ISSN:
0304-4076
Subject:
variance,   etc   ; econometrics; journals; sampling;     Show all 4 Subjects
Abstract:
... 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 ...
DOI:
10.1016/j.jeconom.2020.09.010

13. The statistical power of genome-wide association studies for threshold traits with different frequencies of causal variants

Author:
Hassan Khanzadeh; Navid Ghavi Hossein-Zadeh; Shahrokh Ghovvati
Source:
Genetica 2022 v.150 no.1 pp. 51-57
ISSN:
0016-6707
Subject:
variance,   etc   ; heritability; statistical models;     Show all 3 Subjects
Abstract:
... 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- ...
DOI:
10.1007/s10709-021-00140-8

14. Factor structure and interpretation on the Thai-Social Media Engagement Scale (T-SMES)

Author:
Manika Wisessathorn; Nuchchamon Pramepluem; Sawian Kaewwongsa
Source:
Heliyon 2022 v.8 no.7 pp. e09985
ISSN:
2405-8440
Subject:
variance,   etc   ; factor analysis; questionnaires;     Show all 3 Subjects
Abstract:
... 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 ...
DOI:
10.1016/j.heliyon.2022.e09985

15. Long-memory and volatility spillovers across petroleum futures

Author:
Yuliya Lovcha; Alejandro Perez-Laborda
Source:
Energy 2022 v.243 pp. 122950
ISSN:
0360-5442
Subject:
variance,   etc   ; energy; markets; petroleum;     Show all 4 Subjects
Abstract:
... 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 ...
DOI:
10.1016/j.energy.2021.122950

16. More than a feeling: Analyzing community cognitive and affective perceptions of the Block Island offshore wind project

Author:
Aaron Russell; Jeremy Firestone
Source:
Renewable energy 2022 v.193 pp. 214-224
ISSN:
0960-1481
Subject:
variance,   etc   ; cognition; models; wind;     Show all 4 Subjects
Abstract:
... 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 ...
DOI:
10.1016/j.renene.2022.05.032

17. Relative geographic concentration of creative, other traded, and local industries using establishment data and Harvard's U.S. Cluster Mapping Benchmark Definitions

Author:
John Schoales
Source:
MethodsX 2022 v.9 pp. 101723
ISSN:
2215-0161
Subject:
variance,   etc   ; caves; industry; markets;     Show all 4 Subjects
Abstract:
... 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 ...
DOI:
10.1016/j.mex.2022.101723

18. Waste‐free sequential Monte Carlo

Author:
Hai‐Dang Dau; Nicolas Chopin
Source:
Journal of the Royal Statistical Society 2022 v.84 no.1 pp. 114-148
ISSN:
1369-7412
Subject:
variance,   etc   ; Markov chain; algorithms;     Show all 3 Subjects
Abstract:
... 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 ...
DOI:
10.1111/rssb.12475

19. Estimation of Cs-137 emissions during wildfires and dust storm in Chernobyl Exclusion Zone in April 2020 using ensemble iterative source inversion method

Author:
Ivan V. Kovalets; Mykola Talerko; Roman Synkevych; Serhii Koval
Source:
Atmospheric environment 2022 pp. 119305
ISSN:
1352-2310
Subject:
variance; variance covariance matrix,   etc   ; cesium radioisotopes; confidence interval; dust storms; environment; meteorological data; wind; Ukraine;     Show all 9 Subjects
Abstract:
... 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 ...
DOI:
10.1016/j.atmosenv.2022.119305

20. LS-VCE Applied to Stochastic Modeling of GNSS Observation Noise and Process Noise

Author:
Pengyu Hou; Jiuping Zha; Teng Liu; Baocheng Zhang
Source:
Remote Sensing 2022 v.14 no.2 pp. -
ISSN:
2072-4292
Subject:
variance,   etc   ; least squares; stochastic processes;     Show all 3 Subjects
Abstract:
... 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 ...
DOI:
10.3390/rs14020258