Integrating genome and transcriptome-wide data to explore the expression dynamics of TCP genes in Pisum sativum under salt stress by Song Fangyuan, Li Yong, Jin Huang, Guo Zhiyue, Deng Wen

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Deciphering salt-responsive NB-ARC genes in rice transcriptomic data: A bioinformatics approach with gene expression validation by Saputro Triono Bagus, Wardhani Fila Oxi, Sholihah Nur Fadlilatus, Ermavitalini Dini, Purnama Putut Rakhmad, Nurhidayati Tutik

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Machine-Learning-Based Depression Detection Model from Electroencephalograph (EEG) Data Obtained by Consumer-Grade EEG Device by Kei Suzuki, Tipporn Laohakangvalvit, Midori Sugaya

“…In addition, analysis of the EEG indices selected by feature selection indicated that the Macro F1 score was about 80% for single EEG indices such as differential entropy in the frequency band β and functional connectivity in the left frontal region in the frequency band 1–128 Hz; <b>Conclusions</b>: Although the data were obtained from a consumer-grade EEG, the results suggest that these EEG indices are promising for detection depression.…”
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Opportunities, challenges and future perspectives of using bioinformatics and artificial intelligence techniques on tropical disease identification using omics data by S. M. Vidanagamachchi, K. M. G. T. R. Waidyarathna

“…They can be spread over vectors. Analysis of multiple omics data types can be utilized in providing comprehensive insights into biological system functions and disease progression. …”
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Trend analysis of the application of multispectral technology in plant yield prediction: a bibliometric visualization analysis (2003–2024) by Jiahui Xu, Jiahui Xu, Jiahui Xu, Yalong Song, Yalong Song, Yalong Song, ZhaoYu Rui, ZhaoYu Rui, Zhao Zhang, Zhao Zhang, Can Hu, Can Hu, Can Hu, Long Wang, Long Wang, Long Wang, Wentao Li, Wentao Li, Wentao Li, Jianfei Xing, Jianfei Xing, Jianfei Xing, Xufeng Wang, Xufeng Wang, Xufeng Wang

“…Over the past decade, multispectral image acquisition and information extraction from plants have provided rich data resources for scientific research, facilitating a deeper understanding of plant growth mechanisms and ecosystem function. …”
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Genetic association analysis between LDL-c lowering drugs and portal hypertension using Mendelian randomization analysis by Qing-Ao Xiao, Xiao-Long Li, Lei Qin, Xiao-Lin Zhang

“…Subsequently, Summary-based Mendelian Randomization (SMR) analysis was conducted by using expression quantitative trait loci (eQTL) data to validate the results of the MR analysis. …”
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Analysis of the Causes of Urban Sprawl in Iran by keramatollah Ziari, Saeed Zanganeh Shahraki, Negin Rajabzadeh, Mohsen Abbas Nejad Jelogir

“…Data were gathered through content analysis and processed using MAXQDA 2020 software. …”
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Rupture process of the 2019 Mw 6.8 Davao Del Sur earthquake, Philippines from geodetic and seismic data by Ivan F. Casallas, Jyr-Ching Hu, Jeffrey S. Perez

“…In this study, we used Interferometry Synthetic Aperture Radar (InSAR) and teleseismic broadband data to explore the earthquake’s source parameters, rupture process, and tectonic characteristics through a Bayesian modeling approach and Coulomb stress analysis. …”
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Investigating the Microbiome in Relation to Mental Distress Across Two Points During Pregnancy: Data From U.S. and Swedish Cohorts by Mary Kimmel, Bangzhuo Tong, Alfons Edbom Devall, Richelle D. Björvang, Ina Schuppe-Koistinen, Lars Engstrand, Emma Fransson, Alkistis Skalkidou, Luisa W. Hugerth

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Accurate and Data‐Efficient Micro X‐ray Diffraction Phase Identification Using Multitask Learning: Application to Hydrothermal Fluids by Yanfei Li, Juejing Liu, Xiaodong Zhao, Wenjun Liu, Tong Geng, Ang Li, Xin Zhang

“…Traditional analysis of highly distorted micro X‐ray diffraction (μ‐XRD) patterns from hydrothermal fluid environments is a time‐consuming process, often requiring substantial data preprocessing and labeled experimental data. …”
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Prediction of protein biophysical traits from limited data: a case study on nanobody thermostability through NanoMelt by Aubin Ramon, Mingyang Ni, Olga Predeina, Rebecca Gaffey, Patrick Kunz, Shimobi Onuoha, Pietro Sormanni

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MeStanG—Resource for High-Throughput Sequencing Standard Data Sets Generation for Bioinformatic Methods Evaluation and Validation by Daniel Ramos Lopez, Francisco J. Flores, Andres S. Espindola

“…Functional and phylogenetic studies based on microbial diversity retrieved using HTS platforms have advanced from detecting known organisms and discovering unknown species to applications in disease diagnostics. …”
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Mitigating Voltage Violations in Smart City Microgrids Under Coordinated False Data Injection Cyberattacks: Simulation and Experimental Insights by Ehsan Naderi, Arash Asrari

“…This article investigates the impacts of coordinated false data injection attacks (FDIAs) on voltage profiles in smart microgrids integrated with renewable-based distributed energy resources (DERs), a critical component of urban energy infrastructure in smart cities. …”
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Constructing a tumor immune microenvironment-driven prognostic model in acute myeloid leukemia using bioinformatics and validation data by Amir Abbas Navidinia, Ali Keshavarz, Bentol Hoda Kuhestani Dehaghi, Reza Khayami, Najibe Karami, Vahid Amiri, Mehdi Allahbakhshian Farsani

“…Differentially expressed genes (DEGs) between high/low immune score groups were identified, followed by functional enrichment, protein-protein interaction (PPI) network analysis for selecting the hub-DEGs with the highest degree scores, and univariate Cox regression to pinpoint prognostic genes. …”
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Multi-omic integration of single-cell data uncovers methylation profiles of super-enhancers in skeletal muscle stem cells by Anyu Zeng, Hailong Liu, Shuling He, Xuming Luo, Zhiqi Zhang, Ming Fu, Baoxi Yu

“…Abstract Introduction Skeletal muscle stem cells (MuSCs) have strong regenerative abilities, but as we age, their ability to regenerate decreases, leading to a decline in muscle function. Although the methylation reprogramming of super-enhancers (SEs) plays a pivotal role in regulating gene expression associated with the aging process, our understanding of the molecular diversity of stem cells during aging remains limited. …”
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Exploration the role of pro-inflammatory fibroblasts and related markers in periodontitis: combing with scRNA-seq and bulk-seq data by Erli Wu, Feihan Gu, Qiangqiang Zhuo, Ziyang Gao, Yu Zhang, Jingjing Li, Xuan Yin, Weimin Bao, Xianqing Zhou, Feng Liang, Shouxiang Yang, Yuanyin Wang, Qingqing Wang, Qingqing Wang, Wei Shao, Wei Shao

“…Lastly, a cell function test was used to examine the part these genes play in the pathogenesis of periodontitis.ResultsThrough single-cell sequencing analysis, we identified PIGFs which were closely related to the development of periodontitis. …”
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AN ANALYSIS OF DEIXIS ON THE CHARACTERS IN BRAVE MOVIE by Yasinta Trililis Anjelina Maduwu, Rahmaditya Khadifa Abdul Rozzaq Wijaya

“…This research aims to analyze the types and functions of deixis in the movie Brave by using a qualitative descriptive approach. …”
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System Runs Analysis with Process Mining by S. A. Shershakov, V. A. Rubin

“…Modern application monitoring and error tracking tools provide only rather straightforward log search and filtering functionality. However, “clever” analysis of the logs is highly useful, since it can provide valuable insights into the system architecture, interaction of business domains and services. …”
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Features of geriatric status in elderly patients with osteoarthritis combined with neuropathic pain: data from the Russian epidemiological study EVKALIPT by A. V. Naumov, N. M. Vorobieva, N. O. Khovasova, O. N. Tkacheva, Yu. V. Kotovskaya, E. V. Selezneva, L. H. Ovcharova

“…Such patients have worse functional status, they are more often diagnosed with a number of GSs.…”
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Unraveling the neural dynamics of mathematical interference in english reading: A novel approach with deep learning and fNIRS data by Zhijie Liang, Ling Wang, Jianyu Su, Bo Sun, Daifa Wang, Juan Yang

“…Furthermore, crucial brain channels for interference detection are pinpointed through grid search, and alterations in vital brain regions (R-Broca and L-Broca) are unveiled via association rule analysis. By integrating fNIRS, deep learning, and data mining techniques, this study delves into cognitive interference in English learning, providing valuable insights for educational neuroscience and data mining research.…”
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