State-of-Health Estimation for Lithium-Ion Batteries via Incremental Energy Analysis and Hybrid Deep Learning Model by Yan Zhang, Anxiang Wang, Chaolong Zhang, Peng He, Kui Shao, Kaixin Cheng, Yujie Zhou

“…For the battery pack, the characteristics of the incremental energy curve were supplemented with Variance of Voltage Means (VVM) as an inconsistent feature, combined with Standard Deviation of Temperature Means (SDTM), to create a complete multi-feature sequence. …”
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Deep learning-based computational approach for predicting ncRNAs-disease associations in metaplastic breast cancer diagnosis by Saleem Ahmad, Imran Zafar, Shaista Shafiq, Laila Sehar, Hafsa Khalil, Nida Matloob, Mehvish Hina, Sidra Tul Muntaha, Hamid Khan, Najeeb Ullah Khan, Samreen Rana, Ahsanullah Unar, Muhammad Azmat, Muhammad Shafiq, Yousef A. Bin Jardan, Musaab Dauelbait, Mohammed Bourhia

“…SHAP analysis identified key sequence motifs (e.g., "UUG") and structural free energy (ΔG = − 12.3 kcal/mol) as critical predictors, validated by PCA (82% variance) and t-SNE clustering. …”
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Development and Validation of a Radiomics Nomogram Based on Magnetic Resonance Imaging and Clinicoradiological Factors to Predict HCC TACE Refractoriness by Dong Y, Hu J, Meng X, Yang B, Peng C, Zhao W

“…Dimension reduction was conducted using variance threshold, univariate selection, and least absolute shrinkage and selection operator methods. …”
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Optimization of commercial SNP arrays and the generation of a high-efficiency GenoBaits Peanut 10K panel by Yaran Zhao, Y. M. Nevame Adedze, Jiahui Dong, Renxu Zhang, Songan Zheng, Haofa Lan, Yurong Li, Song Liu, Yanfen Xu, Jianan Zhang

“…Moreover, the cost of genotyping by target sequencing (GBTS) using this panel is less than $9 per sample, making it more affordable. …”
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Determining the Effect of Natural Selection on Linked Neutral Divergence across Species. by Tanya N Phung, Christian D Huber, Kirk E Lohmueller

“…However, the effect of linked selection on neutral sequence divergence (inter-species differences) remains ambiguous. …”
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Genetic Basis and Simulated Breeding Strategies for Enhancing Soybean Seed Protein Content Across Multiple Environments by Xu Sun, Bo Hu, Wen-Xia Li, Hai-Long Ning

“…Candidate genes were then predicted via sequence alignment and haplotype analysis between the parents. …”
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Using population genetics for management of bobcats in oregon by Dawn M. Reding, Carolyn E. Carter, Tim L. Hiller, William R. Clark

“…AMOVA based on the mtDNA sequences indicated significant structure between regions, accounting for 12.8% of the mtDNA variation. …”
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Research on the Gas Emission Quantity Prediction Model of Improved Artificial Bee Colony Algorithm and Weighted Least Squares Support Vector Machine (IABC-WLSSVM) by Lei Wang, Jinghang Li, Wenbo Zhang, Yu Li

“…Secondly, the chaotic sequence is introduced into the artificial bee colony algorithm to find a better initial honey source, which increases the diversity of the population, and combines the Levy flight to update the search step to avoid falling into the trap of local optimum. …”
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Toward Building Model of Business Closure Intention in SMEs: Binomial Logistic Regression by Gelmar García-Vidal, Alexander Sánchez-Rodríguez, Laritza Guzmán-Vilar, Reyner Pérez-Campdesuñer, Rodobaldo Martínez-Vivar

“…The combined CFA-SEM-logit sequence yields practical early warning thresholds—debt-to-equity ratio > 1.4, current ratio < 1.0, and ROA < 0.15—that lenders, advisers, and entrepreneurs can embed in dashboards or credit screens. …”
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A novel bacterial approach to cassava waste fermentation: Reducing cyanide toxicity and improving quality to ensure livestock feed safety by Hera Dwi Triani, Ahadiyah Yuniza, Yetti Marlida, Husmaini Husmaini, Wulansih Dwi Astuti, Gusri Yanti

“…Data were analyzed using analysis of variance followed by Duncan&apos;s Multiple Range Test. …”
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Sympatry and evolution: relationships between the endemic Myrcia guarujana and the widely distributed M. spectabilis by M. A. G. Magenta, L. F. Almeida, L. M. Rocha, C. E. A. Batista, R. H. G. Priolli

“…By AMOVA, the highest variance percentage found was 73.54% (P = 0.0079) between the species. …”
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A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning by Yan Chen, Miaolin Yu, Haochong Wei, Huanxing Qi, Yiming Qin, Xiaochun Hu, Rongxing Jiang

“…The model captures both short-term and long-term sequence variations through continuous and interval sampling. …”
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Group-wise normalization in differential abundance analysis of microbiome samples by Dylan Clark-Boucher, Brent A. Coull, Harrison T. Reeder, Fenglei Wang, Qi Sun, Jacqueline R. Starr, Kyu Ha Lee

“…Abstract Background A key challenge in differential abundance analysis (DAA) of microbial sequencing data is that the counts for each sample are compositional, resulting in potentially biased comparisons of the absolute abundance across study groups. …”
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Genetic Diversity of Tef [Eragrostis tef (Zucc.)Trotter] as Revealed by Microsatellite Markers by Mahilet Tadesse, Mulugeta Kebede, Dejene Girma

“…Analysis of molecular variance revealed 56%, 39% and 5% of the total variation due to variation within populations, among individuals and among populations, respectively. …”
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Genetic structure and evolutionary dynamics of Babesia gibsoni populations: a cytochrome oxidase subunit I (COXI) gene-based study by Ansu Kumari, Divya Agnihotri, Anil Kumar Nehra, Aman Dev Moudgil, Yudhbir Singh, Prem Sagar Maurya, Devendra Prasad Pateer, Rajat Garg

“…A median-joining haplotype network constructed from the sequences revealed 10 distinct haplotypes, with six of them comprising multiple sequences (2–5 sequences each). …”
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Predicting population genetic change in an autocorrelated random environment: Insights from a large automated experiment. by Marie Rescan, Daphné Grulois, Enrique Ortega Aboud, Pierre de Villemereuil, Luis-Miguel Chevin

“…We used a liquid-handling robot to expose over a hundred lines of the micro-alga Dunaliella salina to randomly fluctuating salinity over a continuous range, with controlled mean, variance, and autocorrelation. We then tracked the frequencies of two competing strains through amplicon sequencing of nuclear and choloroplastic barcode sequences. …”
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Precursory Indicator for Mode I Fracture in Brittle Rock through Critical Slowing Down Analysis by Zhenghu Zhang, Tao Chen, Ke Ma, Tiexin Liu, Jianhui Deng

“…The principle of critical slowing down was introduced to study AE count sequences, and the variance and autocorrelation coefficient versus loading time curves were analyzed. …”
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Thermal microclimate assessment in dairy cow milking parlors: Seasonal variations in temperature-humidity index and implications for heat stress by Dimo Dimov, Toncho Penev, Ivaylo Marinov

“…Statistical analysis involved one-way analysis of variance and post hoc tests using STATISTICA version 10. …”
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Analysis of thrust force generation during the drilling of natural fiber based hybrid composite by Mohan Kumar Anand Raj, Rajasekar Rathanasamy, Parameshwaran Rathinasamy, P. Manoj Kumar, Sureshkumar Periyasamy, Ahmad Aziz Alahmadi, Mamdooh Alwetaishi, Parvathy Rajendran, It Ee Lee

“…Four different point angles of the twisted drill tools have been employed: 90°, 100°, 105° and 118°. The sequence of natural fiber-based specimens prepared for the studies as follows: A/H/A/H and H/J/H/J. …”
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Association between mild cognitive impairment and APOE Ɛ4, low education level, and lack of spousal relationship in community-dwelling older persons in Nigeria by Isyaku Gwarzo Mukhtar, Mohamed Mabrouk Elkhashab, Muhammad Ali Salim, Salisu Ahmed Ibrahim, Isyaku Umar Yarube

“…APOE was genotyped from peripherally extracted genomic DNA using the sequence-specific primer polymerase chain reaction with Hhal digestion. …”
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