Adaptive variation regulates the expression of the human SGK1 gene in response to stress. by Francesca Luca, Sonal Kashyap, Catherine Southard, Min Zou, David Witonsky, Anna Di Rienzo, Suzanne D Conzen

“…Our results suggest a novel paradigm in which hormonal responsiveness is modulated by sequence variation in the regulatory regions of nuclear receptor target genes. …”
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Among Artificial Intelligence/Machine Learning Methods, Automated Gradient-Boosting Models Accurately Score Intraoral Plaque in Non-Standardized Images by Eric Coy, William Santo, Bonnie Jue, Helen Betts, Francisco Ramos-Gomez, Stuart A. Gansky

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Biomimetic Computing for Efficient Spoken Language Identification by Gaurav Kumar, Saurabh Bhardwaj

“…Multilingual countries utilize the SLID method to facilitate speech detection. This is accomplished by determining the language of the spoken parts using language recognizers. …”
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Evaluation Method of Water Injection Development Effects in Fractured Vuggy Carbonate Reservoirs: Case Study of F_I7 Strike-Slip Fault Zone by Jie Geng, Long Xiao, Ping Yue, Yun Xiao, Hongnan Yang, Simin Qu, Xia Wang

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An Efficient Anomalous Sound Detection System for Microcontrollers by Yi-Cheng Lo, Tsung-Lin Tsai, Chieh-Wen Yang, An-Yeu Wu

“…Finally, we evaluate our method on the DCASE dataset, and the results show that our system achieves favorable outcomes in both accuracy and resource efficiency, marking our contribution to ASD system practice.…”
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Daily Runoff Prediction Model Based on Multivariate Variational Mode Decomposition and Correlation Reconstruction by DING Jie, TU Peng-fei, FENG Yu, ZENG Huai-en

“…The original data included daily runoff from January 2005 to December 2012. [Methods] This study first employed Multivariate Variational Mode Decomposition(MVMD) to decompose the original daily runoff data from the two stations, reducing data complexity. …”
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An algorithm for variational inclusion problems including quasi-nonexpansive mappings with applications in osteoporosis prediction by Raweerote Suparatulatorn, Wongthawat Liawrungrueang, Thanasak Mouktonglang, Watcharaporn Cholamjiak

“…The proposed method exhibits weak convergence under reasonable assumptions. …”
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AngleCam: Predicting the temporal variation of leaf angle distributions from image series with deep learning by Teja Kattenborn, Ronny Richter, Claudia Guimarães‐Steinicke, Hannes Feilhauer, Christian Wirth

“…However, there is no efficient method for tracking leaf angles of plant canopies under field conditions. …”
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Variation in the metagenomic analysis of fecal microbiome composition calls for a standardized operating approach by Zhilu Xu, Yun Kit Yeoh, Hein M. Tun, Na Fei, Jingwan Zhang, Mark Morrison, Michael A. Kamm, Jun Yu, Francis Ka Leung Chan, Siew C. Ng

“…In our study, we utilized microbial metagenomic data sets from 2,722 fecal samples generated from a single research center to examine the extent to which sample storage and DNA extraction influence the quantification of microbial composition and compared this variable with other sources of technical and biological variation. Our research highlights the impact of DNA extraction methods when analyzing microbiome data and suggests that the microbiome profile may be influenced by differences in the extraction efficiency of bacterial species. …”
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Exploring the Trade-Off in the Variational Information Bottleneck for Regression with a Single Training Run by Sota Kudo, Naoaki Ono, Shigehiko Kanaya, Ming Huang

“…This study analyzes the Variational Information Bottleneck (VIB), a standard IB method in deep learning, in the settings of regression problems and derives its optimal solution. …”
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Spatial variation of soil quality in key grain-producing areas of Qitai County, Xinjiang by FAN Zikang, WANG Chunxia, YU Jing, QIN Da, YANG Yuefa, WANG Hongxin

“…Classical statistical methods were used to analyze the correlations between indicators, and geostatistical methods were used to assess the spatial variation of each indicator. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

“…Extensive experiments on attributed networks prove that DVAEGMM significantly beats the existing methods, proving the efficiency of the presented approach. …”
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On the Convergence of the Yosida–Cayley Variational Inclusion Problem with the XOR Operation and Inertial Extrapolation Scheme by Arifuzzaman, Syed Shakaib Irfan, Iqbal Ahmad

“…To address these problems, we develop and examine several solution methods, with particular attention given to the convergence behavior of the proposed algorithms. …”
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Controlling Mie scattering response to refractive index variations via light field manipulation by Jianzhi Zeng, Hanqing Cai, Jiachen Liu, Haifeng Hu

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Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs by Sang Min Yoon, Yeon Ju Lee, Gang-Joon Yoon, Jungho Yoon

“…In this approach, we propose a method based on Adaptive Total Variation Minimization (ATVM) so that it has an efficient image denoising effect by preserving strong gradients of the flash image. …”
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Experimental Study on Variation Rules of Damping with Influential Factors of Tuned Liquid Column Damper by Yang Yu, Lixin Xu, Liang Zhang

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Analyzing the Impact of Climate Change on Compound Flooding Under Interdecadal Variations in Rainfall and Tide by Jiun-Huei Jang, Tien-Hao Chang, Yen-Mo Wu, Ting-En Liao, Chih-Hung Hsu

“…However, relevant research has been limited because significant amounts of data, scenarios, and computations are often required to evaluate long-term variations in compound flood risk. In this study, a framework was proposed through efficient hydraulic simulations and a consequence-based statistical method using data projected under different general circulation models (GCMs). …”
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Variation patterns of physical property parameters for pipeline transportation of impurity-containing NH3 by Pengbo YIN, Bo WANG, Zhenchao LI, Chaofei NIE, Jiaqing LI, Xiucan JIA, Lin TENG, Lilong JIANG

“…ObjectivePipeline transportation is one of the most economical and safest methods for the large-scale transport of ammonia (NH3), which is recognized as a clean energy source. …”
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Testing life-cycle assessment data quality with Benford’s law reveals geographic variation by Bogdan Šinik, Aleksandar Tošić

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Examining the Impact of Variations in Executive Functions on Students’ Problem-Solving Behaviors by Tongxi Liu

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