Characterizing tomato genotypes in the varied climates of north-western Himalayas and implications for environmental resilience using GGE Biplot analyses by Nikhil Thakur, Deepa Sharma, Jasdeep Kaur, Vinit Sharma

“…Additionally, the GGE biplot analysis identified environments E3 (Bajaura) and E2 (Neri) as representative and discriminative, facilitating the selection of genotypes well-suited to specific conditions. …”
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A Feature Extraction Method of Ship Underwater Noise Using Enhanced Peak Cross-Correlation Empirical Mode Decomposition Method and Multi-Scale Permutation Entropy by Peng Liu, Chen Dai, Shuaiqiang Li, Hui Jin, Xinfu Liu, Guijie Liu

“…The results show that the IEMD-MPE method performs well in extracting the feature information of the signals and has a strong discriminative ability. …”
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HSDT-TabNet: A Dual-Path Deep Learning Model for Severity Grading of Soybean Frogeye Leaf Spot by Xiaoming Li, Yang Zhou, Yongguang Li, Shiqi Wang, Wenxue Bian, Hongmin Sun

“…This model employs a dual-path parallel feature extraction strategy: the TabNet path performs sparse feature selection to capture fine-grained local discriminative information, while the hierarchical soft decision tree (HSDT) path models global nonlinear relationships across hyperspectral bands. …”
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Grain size and sedimentation process in the Anak Krakatau coastal area of Indonesia by Bachtiar W. Mutaqin, Muhammad Nadafa Isnain, Renny Laksmita Ningsih, Herlan Darmawan, Suratman

“…Granulometric analysis was performed using statistical methods with Gradistat. …”
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Convolutional Neural Networks—Long Short-Term Memory—Attention: A Novel Model for Wear State Prediction Based on Oil Monitoring Data by Ying Du, Hui Wei, Tao Shao, Shishuai Chen, Jianlei Wang, Chunguo Zhou, Yanchao Zhang

“…However, the complexity of lubricating oil monitoring data often poses challenges in extracting discriminative features, limiting the accuracy of wear state prediction. …”
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Targeted plasma metabolomics reveals potential biomarkers of the elderly with mild cognitive impairment in Qingdao rural area by Yuchi Meng, Murong Cheng, Hongyan Qu, Zhenxue Song, Ling Zhang, Yuanjun Zeng, Dongfeng Zhang, Suyun Li

“…Multivariate analysis was performed using orthogonal partial least squares discriminant analysis (OPLS-DA), where differential metabolites were identified based on variable influence on projection (VIP) scores (VIP > 1 and FDR < 0.05). …”
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Validation, Reliability, and Usefulness of the Functional Agility Square Test [FAST] by Romina Müller, Daniel Büchel, Jochen Baumeister

“…Future research should further increase task complexity to better simulate game conditions.…”
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Schizo-Net: A <italic>novel</italic> Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on Electroencephalogram-Based Brain Connectivity Indices by Nitin Grover, Aviral Chharia, Rahul Upadhyay, Luca Longo

“…Schizophrenia (SCZ) is a serious mental condition that causes hallucinations, delusions, and disordered thinking. …”
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Spatially remotely sensed evapotranspiration estimates in Sahel region using an ensemble contextual model with automated heterogeneity assessment by Nesrine Farhani, Jordi Etchanchu, Gilles Boulet, Philippe Gamet, Albert Olioso, Alain Dezetter, Ansoumana Bodian, Nanée Chahinian, Kanishka Mallick, Chloé Ollivier, Olivier Roupsard, Aubin Allies, Jérôme Demarty

“…This latter allows an automatic detection of different heterogeneity conditions. Therefore, a sensitivity analysis examining the effect of using different EF estimation methods over different spatial coverages was performed. …”
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Hypoxia-related Y RNA fragments as a novel potential biomarker for distinguishing metastatic oral melanoma from non-metastatic oral melanoma in dogs by MD Nazmul Hasan, MD Mahfuzur Rahman, Al Asmaul Husna, Daiki Kato, Takayuki Nakagawa, Mohammad Arif, Naoki Miura

“…However, further investigation is required to elucidate the biological functions of Y RNA under hypoxic conditions.…”
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Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms by Anjan Kumar Pradhan, Prasad Gandham, Kanniah Rajasekaran, Niranjan Baisakh

“…A meta-transcriptome approach was undertaken to interrogate 39,756 genes differentially expressed in response to biotic and abiotic stresses in maize were interrogated for prioritization through seven machine learning (ML) models, such as support vector machine (SVM), partial least squares discriminant analysis (PLSDA), k-nearest neighbors (KNN), gradient boosting machine (GBM), random forest (RF), naïve bayes (NB), and decision tree (DT) to predict top-most significant genes for stress conditions. …”
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Impact of Environmental pH on the Structure and Diversity of Oral Microbiota: An In Vitro Study by Yao Huang, Takayuki Nambu, Hiroki Takigawa, Akiyo Kawamoto, Toshinori Okinaga, Kazuya Takahashi

“…After DNA extraction, high-throughput sequencing of the 16s rRNA V3–V4 region was performed. Microbial diversity was analyzed using alpha and beta diversity indices, and differential taxa were identified using linear discriminant analysis effect size (LEfSe). …”
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Advances in Biomedical Missing Data Imputation: A Survey by Miriam Barrabes, Maria Perera, Victor Novelle Moriano, Xavier Giro-I-Nieto, Daniel Mas Montserrat, Alexander G. Ioannidis

“…Missing values compromise data quality and can make it difficult to perform data-based studies. The origins of missing values in biomedical datasets are diverse, including experimental errors, equipment malfunctions, and variations in data collection protocols tailored to individual patient conditions. …”
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Activated cancer-associated fibroblasts correlate with poor survival and decreased lymphocyte infiltration in infiltrative type distal cholangiocarcinoma by Dae Hyun Lim, Yung-Kyun Noh, Byoung Kwan Son, Dong-Hoon Kim, Kyueng-Whan Min, Seoung Wan Chae, Hyung Suk Kim, Mi Jung Kwon, Jung Soo Pyo, Yoonhyeong Byun

“…In machine learning-based survival models, aCAFs emerged as a strong discriminator for survival prediction. In vitro drug screening revealed that refametinib suppressed the growth of DBD carcinoma cells expressing high levels of fibroblast activation protein-α. …”
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Changes in the Volatile Profile, Fruity Flavor, and Rancidity in Virgin Olive Oils During Storage by Targeted and Untargeted Analytical Approaches by Rosalba Tucci, Chiara Cevoli, Alessandra Bendini, Sara Barbieri, Enrico Casadei, Enrico Valli, Tullia Gallina Toschi

“…The changes in monovarietal extra virgin olive oils (EVOOs), produced with olives grown under different agronomic conditions, were investigated by targeted and untargeted analytical approaches. …”
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Azimuth-Guided Feature Embedding Network With Dual Inference Mechanism for Few-Shot SAR Target Recognition by Yan Peng, Xuelian Yu, Haohao Ren, Lei Miao, Lin Zou, Yun Zhou

“…In the field of synthetic aperture radar (SAR) automatic target recognition (ATR), deep learning-driven methods perform well when numerous training samples are available. …”
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Global Coffea arabica variety trials reveal genotype-by-environment interactions in resistance to coffee leaf rust (Hemileia vastatrix) by Jorge C. Berny Mier y Teran, Solene Pruvot-Woehl, Solene Pruvot-Woehl, Catherine Maina, Santos Barrera, James Mwita Gimase, Brahim Banda, Albertino Meza, Nathan Aliel Kachiguma, Nathan Aliel Kachiguma, Elijah K. Gichuru, Julio Alvarado, Julio Alvarado, Suresh Kumar, Jonny Alonso Castillo, Beatriz Moreno Lopez, Ariana Karina Román Ruíz, Ari Wibowo, Never Mwatsiya, Jeena Devasia, Divya Kallingapuram Das, Edgardo Alpizar, Melanie Bordeaux, Miftahur Rizqi Akbar, Piet van Asten, Jean Baptiste Kayigamba, Paul Mulemangabo, Godfrey Sseremba, Benit Mate, Hans Alexander Méndez Mendoza, Simon Martin Mvuyekure, Simon Martin Mvuyekure, Jane Jerono Cheserek, Rosalío López Morgado, Chemutai Job Alunga, Nayani Suryprakash Rao, Samson Tarusenga, Tania Humphrey, Christophe Montagnon

“…Identifying highly resistant varieties, as well as environments where these varieties perform similarly, is a crucial step in breeding programs.MethodsAn international, multi-institutional effort involved the evaluation of 29 varieties, developed by different breeding programs in coffee-producing countries across the globe, for CLR severity under field conditions at 23 sites in Africa, Asia, and Latin America.ResultsThe results showed that both the genotype and genotype-by-site interaction were highly significant, indicating that resistance to coffee leaf rust depends not only on the genetic makeup but also varies between sites. …”
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Comparing the metabolomic landscape of polycystic ovary syndrome within urban and rural environments by Jalpa Patel, Hiral Chaudhary, Abhishek Chudasama, Jaydeep Panchal, Akanksha Trivedi, Sonal Panchal, Trupti Joshi, Rushikesh Joshi

“…Principal component analysis and orthogonal partial least squares discriminant analysis were performed to identify metabolic patterns and differences between the two groups. …”
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Serum Fibroblast Growth Factor 23 Levels as a Predictor of Acute Kidney Injury in Critically Ill Obstetric Women in Obstetric Intensive Care Units: A North Indian Study by Munna Lal Patel, Shruti Gupta, Radhey Shyam, Rekha Sachan, Wahid Ali

“…Estimation of FGF-23 level was performed by using enzyme-linkedimmunosorbent assay. …”
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Predictors of severe forms of rotaviral infection in children by K. D. Ermolenko, A. I. Konev, K. Yu. Ermolenko, Yu. V. Lobzin

“…The forecasting model was developed using discriminant analysis of the statistical package Statistica for Windows.Results. …”
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