MDTR: a knowledge-guided interpretable representation for quantifying liver toxicity at transcriptomic level by Inyoung Sung, Sangseon Lee, Dongmin Bang, Dongmin Bang, Jungseob Yi, Sunho Lee, Sun Kim, Sun Kim, Sun Kim, Sun Kim

“…Representing each mechanism as a dimension, MDTR is visualized in a radar chart, enabling an effective visual presentation of hepatotoxicity at transcriptomic level.Results and DiscussionIn experiments with the LINCS dataset, we show that MDTR outperforms existing methods for measuring the distance of transcriptome data when describing for dose-dependent drug perturbations. …”
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Efficient Method for Robust Backdoor Detection and Removal in Feature Space Using Clean Data by Donik Vrsnak, Marko Subasic, Sven Loncaric

“…Finally, it is not constrained to only computer vision tasks, as this assumption holds for feature spaces of different problems, which is demonstrated by applying it without any change to semantic analysis on the SST-2 dataset.…”
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Diverse Profiles of Toll-Like Receptors 2, 4, 7, and 9 mRNA in Peripheral Blood and Biopsy Specimens of Patients with Celiac Disease by Haniye Ghasiyari, Mohammad Rostami-Nejad, Davar Amani, Kamran Rostami, Mohamad Amin Pourhoseingholi, Hamid Asadzadeh-Aghdaei, Mohammad Reza Zali

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Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipel... by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

“…Analyses were conducted using EEG data of 3, 4 or 5 sessions, totaling 3960 tests on the entire dataset. At the end of the study, when considering all the tests, the overall classification accuracy using SCP alone was 67.1%, and it was 67.8% for STFT alone. …”
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Early Detection of Verticillium Wilt in Cotton by Using Hyperspectral Imaging Combined with Recurrence Plots by Fei Tan, Xiuwen Gao, Hao Cang, Nianyi Wu, Ruoyu Di, Jingkun Yan, Chengkai Li, Pan Gao, Xin Lv

“…The final principal component dataset was then input into KNN, SVM, ELM, and XGBoost classifiers to assess the accuracy of early detection of VW in cotton. …”
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Elucidating the emotional persona in the Romanian university students’ academic discourse: a corpus-based exploration by Diana Paula Dudău, Diana Paula Dudău, Madalina Chitez, Florin Alin Sava

“…The bilingual ROGER corpus, containing texts from nine Romanian universities spanning multiple disciplines and genres, served as the dataset. Advanced data analysis techniques included supervised machine learning for language classification, network analysis to explore interactions among linguistic features, and cluster analysis to detect discipline- and genre-specific linguistic patterns.ResultsThe findings reveal distinct emotional patterns between Romanian and English academic writing. …”
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Oral phenotype and scoring of vascular Ehlers–Danlos syndrome: a case–control study by Lisa Golmard, Ariane Berdal, François Côme Ferré, Michael Frank, Bruno Gogly, Adrien Naveau, Hafida Chérifi, Joseph Emmerich, Frédérick Gaultier, Xavier Jeunemaitre, Benjamin P J Fournier

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Neuropsychological morbidity in the First Seizure Clinic: Prominent mood symptoms and memory issues in epilepsy by Remy Pugh, David N. Vaughan, Graeme D. Jackson, Jennie Ponsford, Chris Tailby

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A Study on Multi-Scale Behavior Recognition of Dairy Cows in Complex Background Based on Improved YOLOv5 by Zheying Zong, Zeyu Ban, Chunguang Wang, Shuai Wang, Wenbo Yuan, Chunhui Zhang, Lide Su, Ze Yuan

“…Finally, the original detection head was replaced with a Dynamic Detection Head (DyHead) to improve the efficiency and accuracy of cow behavior detection across different scales in complex environments. An experimental dataset comprising complex backgrounds, multiple behavior categories, and multi-scale targets was constructed for comprehensive validation. …”
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Psychosocial, physical, cognitive and quality of life aspects in primary restless legs syndrome by I. Jarašiūnaitė, R. Kaladytė-Lokominienė

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A cross-tissue transcriptome-wide association study identifies new susceptibility genes for benign prostatic hyperplasia by Li Wang, Si-yu Chen, Jian-wei Yang, Kang-yu Wang, Kun-peng Li, Shun Wan, Xiao-ran Li, Li Yang

“…The study utilized the FinnGen R10 dataset, encompassing 177,901 individuals (36,601 cases and 141,300 controls), and the GTEx v8 EQTLs files to conduct single-tissue and cross-tissue transcriptome-wide association studies (TWAS). …”
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Thermal Development, Mortality, and Fertility of an Apulian Strain of <i>Drosophila suzukii</i> at Different Temperatures by Nuray Baser, Luca Rossini, Gianfranco Anfora, Kürşat Mustafa Temel, Stefania Gualano, Emanuele Garone, Franco Santoro

“…Besides development and mortality, egg production over temperature has been recorded. The dataset was first analysed according to life tables studies; then, we also estimated the biological parameters of the most common equations describing development, mortality, and fertility involved in physiologically-based model applications. …”
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Comprehensive Analysis of Word Embedding Models and Design of Effective Feature Vector for Classification of Amazon Product Reviews by B. Priya Kamath, M. Geetha, U. Dinesh Acharya, Dipesh Singh, Ayush Rao, Shwetha Rai, Roopashri Shetty

“…This study examines the implementation of different traditional feature extraction models such as Bag of Words (BoW), Term Frequency-Inverse Document Frequency (TF-IDF), N-grams, and word embeddings like Word2Vec and Bidirectional Encoder Representations from Transformers (BERT) on an Amazon review dataset. Furthermore, the hyperparameters of the BERT model were fine-tuned, optimizing its performance on the SA task. …”
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Clinical utility of receptor status prediction in breast cancer and misdiagnosis identification using deep learning on hematoxylin and eosin-stained slides by Gil Shamai, Ran Schley, Alexandra Cretu, Tal Neoran, Edmond Sabo, Yoav Binenbaum, Shachar Cohen, Tal Goldman, António Polónia, Keren Drumea, Karin Stoliar, Ron Kimmel

“…Here we explore the clinical utility of predicting receptor status from digitized hematoxylin and eosin-stained (H&E) slides using machine learning trained and evaluated on a multi-institutional dataset. Methods We developed a deep learning system to predict ER, PR, and ERBB2 statuses from digitized H&E slides and evaluated its utility in three clinical applications: identifying hormone receptor-positive patients, serving as a second-read tool for quality assurance, and addressing intratumor heterogeneity. …”
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Predicting Outcomes in Esophageal Squamous Cell Carcinoma Using scRNA‐Seq and Bulk RNA‐Seq: A Model Development and Validation Study by Jiaqi Zhang, Shunzhe Song, Yuqing Li, Aixia Gong

“…And 558 differential genes were selected from the single‐cell RNA sequencing (scRNA‐seq) dataset. Four glucose metabolism‐related genes, namely, SERP1, CTSC, RAP2B, and SSR4, were identified as hub genes to develop a risk prognostic model. …”
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Effect of Enriched Feed by Different n-6 Fatty Acids Levels at 0% of n-3 on Danio rerio Reproductive Performance by N.B.P Utomo, A. Rosmawati, I. Mokoginta

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Tumour DNA methylation markers associated with breast cancer survival: a replication study by Elaheh Zarean, Shuai Li, Ee Ming Wong, Enes Makalic, Roger L. Milne, Graham G. Giles, Catriona McLean, Melissa C. Southey, Pierre-Antoine Dugué

“…Candidate methylation sites (N = 22) and signatures (N = 3) potentially associated with breast cancer survival were identified from five prior studies that used The Cancer Genome Atlas (TCGA) methylation dataset, which shares key characteristics with the MCCS: comparable sample size, tissue type (formalin-fixed paraffin-embedded; FFPE), technology (Illumina HumanMethylation450 array), and participant characteristics (age, ancestry, and disease subtype and severity). …”
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Comparative analysis of deep learning models for crack detection in buildings by S. Siva Rama Krishnan, M. K. Nalla Karuppan, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan, Saarthak Tandon, Balamurugan Balusamy

“…We also train and validate several deep learning models to classify brickwork images as either cracked or normal. The dataset of the proposed work contains 24,000 images which are classified through binary classes. …”
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Serum Levels of LL-37 and Inflammatory Cytokines in Plaque and Guttate Psoriasis by Young Ji Hwang, Ho Jung Jung, Min Jung Kim, Nam Kyung Roh, Jae Wook Jung, Yang Won Lee, Yong Beom Choe, Kyu Joong Ahn

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Evaluation of a mentorship matchmaking event at an academic research institution to reinforce the scientific workforce pathway for underrepresented minority groups by Sirena Gutierrez, Jennifer A. Seuferer, Angel-Max Guerrero, Yazmin Carrasco, Kirsten Bibbins-Domingo, Tung Nguyen, Leticia Márquez-Magaña, Todd Nystul, Meghan D. Morris

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