ReliefSeq: a gene-wise adaptive-K nearest-neighbor feature selection tool for finding gene-gene interactions and main effects in mRNA-Seq gene expression data. by Brett A McKinney, Bill C White, Diane E Grill, Peter W Li, Richard B Kennedy, Gregory A Poland, Ann L Oberg

“…ReliefSeq is an attractive tool for inclusion in the suite of tools used for analysis of mRNA-Seq data; it has power to detect both main effects and interaction effects. …”
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Clinicopathological and Targeted Exome Gene Features of a Patient with Metastatic Acinic Cell Carcinoma of the Parotid Gland Harboring an ARID2 Nonsense Mutation and CDKN2A/B Delet... by Wayne A. Warner, Deborah J. Wong, Fernando Palma-Diaz, Terry Y. Shibuya, Jamil Momand

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Statistical Characteristics and Community Analysis of Urban Road Networks by Wen-Long Shang, Yanyan Chen, Huibo Bi, Haoran Zhang, Changxi Ma, Washington Y. Ochieng

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Human Activity Recognition and Location Based on Temporal Analysis by Hongjin Ding, Faming Gong, Wenjuan Gong, Xiangbing Yuan, Yuhui Ma

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The features of PD-L1 expression in tumor stromal cells, peritumoral microvessels and isolated clusters of tumor cells in breast cancer tissue and their correlation with clinical a... by E. Yu. Zubareva, M. A. Senchukova, T. A. Karmakova, N. V. Zaitsev

“…PD-L1 expression was studied by immunohistochemistry. statistical analysis was performed using statistica 12.0 software.Results. …”
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Unveiling HER2 immunoexpression in canine hepatoid gland neoplasms: clinicopathological and morphological associations by Hassadin Boonsriroj, Sahatchai Tangtrongsup, Jirapat Arunorat, Thanongsak Mamom, Pinkarn Chantawong

“…HER2-positive expression was detected in 50% of HGEs (score 2  +  ) and 73.3% of HGCs, with 36.4% of cases scoring 3   +   . …”
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Timeseria: An object-oriented time series processing library by Stefano Alberto Russo, Giuliano Taffoni, Luca Bortolussi

“…Timeseria comes with a comprehensive set of base data structures, data transformations for resampling and aggregation, common data manipulation operations, and extensible models for data reconstruction, forecasting and anomaly detection. It also integrates a fully featured, interactive plotting engine capable of handling even millions of data points.…”
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A comparative study of deepfake facial manipulation technique using generative adversarial networks by Wasin Al Kishri, Jabar H. Yousif, Mahmood Al Bahri, Muhammad Zakarya, Naveed Khan, Sanad Sulaiman Al Maskari, Ahmet Gurhanli

“…In particular, three types of Deepfake face detection technologies are reviewed: (i) hand-crafted features (ii) artifacts; and (iii) learning-based features, while highlighting related improvements and challenges. …”
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Semi-Automatic Extraction of Hedgerows from High-Resolution Satellite Imagery by Anna Lilian Gardossi, Antonio Tomao, MD Abdul Mueed Choudhury, Ernesto Marcheggiani, Maurizia Sigura

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Enhanced Classification of Phonocardiograms Using Modified Deep Learning by Awais Mahmood, Habib Dhahri, Mousa Alhajlah, Abdulaziz Almaslukh

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Genetic Analysis of 17q Terminal Partial Trisomy by Huiling Zheng, Lin Zheng, Zhi Huang, Guangping Li, Daili Tang, Xue Yang, Tian Tian

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Evaluation of a Peak-Free Chemometric Laser-Induced Breakdown Spectroscopy Method for Direct Rapid Cancer Detection via Trace Metal Biomarkers in Tissue by Otieno Emily Akinyi, Angeyo Hudson Kalambuka, Alix Dehayem-Kamadjeu

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Correlation analyses of ultrasonographic and histopathological characteristics of porta hepatis lymph nodes in biliary atresia by Zhen Huang, Wen Ling, Guorong Lyu, Shuxia Xu, Fengying Ye, Yifan Fang, Zongjie Weng, Qiumei Wu

“…No significant correlations were detected between the stage of liver fibrosis and pathological features or postoperative jaundice (all p > 0.05). …”
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MSFNet3D: Monocular 3D Object Detection via Dual-Branch Depth-Consistent Fusion and Semantic-Guided Point Cloud Refinement by Rong Yang, Zhijie You, Renhui Luo

“…This module captures multi-scale geometric features through a hierarchical feature pyramid and an adaptive weight allocation mechanism, thereby addressing the scale sensitivity inherent in traditional attention mechanisms. (2) We propose a consistency-weighted fusion strategy that employs local gradient consistency analysis and differentiable weighted optimization to achieve a pixel-level fusion of image and depth features. …”
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Simple energy detector for two-stage classification for antidrone systems by Zurovac Snežana, Petrović Nikola, Joksimović Vasilija, Pokrajac Ivan, Mikanović Darko, Sazdić-Jotić Boban

“…Signal detection theory, a fundamental concept in various scientific disciplines, involves mandatory measuring of the signal features. …”
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Novel perceptions and insights into the rare hematologic malignancy of acute megakaryocytic leukemia: a multicenter clinical retrospective study by Yuan Liu, Yanquan Liu, Xiaojun Chen, Yue Yin, Zhenyuan Xu, Jiachen Xie, Jianzhen Shen, He Huang, Huidong Guo

“…Except for 2 patients who were not detected by flow immunotyping, cytogenetics and molecular biology, the remaining 21 patients were detected accordingly, and megakaryocyte antigens (CD41, CD42, CD61) were expressed in these 21 patients with AMKL, accompanied by certain cytogenetic or molecular biological abnormalities. …”
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Intrusion Detection and Mitigation Method for the Industrial Internet of Things Using Bidirectional Convolutional Long Short-Term Memory and Deep Recurrent Convolutional Q-Networks by Zhang Yan, Piyush Kumar Shukla, Prashant Kumar Shukla, Kanika Thakur, Anurag Sinha, Saifullah Khalid

“…ADASYN data augmentation is used to address class imbalance, while entropy analysis and statistical techniques are used to extract key features. …”
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Analysis of biofilm assembly by large area automated AFM by Ruben Millan-Solsona, Spenser R. Brown, Lance Zhang, Sita Sirisha Madugula, HuanHuan Zhao, Blythe Dumerer, Amber N. Bible, Nickolay V. Lavrik, Rama K. Vasudevan, Arpan Biswas, Jennifer L. Morrell-Falvey, Scott Retterer, Martí Checa, Liam Collins

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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

“…The dataset (imbalance) collected from both feet is passed to the preprocessing phase (for balancing data using the SMOTE method), followed by the feature extraction phase to extract features related to time, frequency, spatial, and temporal features domains that are highly effective for detecting and assigning severity levels of PD. …”
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Intrusion Detection in IoT and IIoT: Comparing Lightweight Machine Learning Techniques Using TON_IoT, WUSTL-IIOT-2021, and EdgeIIoTset Datasets by Shereen Ismail, Salah Dandan, Ala'a Qushou

“…Furthermore, a cross-dataset transfer learning approach was applied to evaluate how models trained on the TON_IoT dataset generalize when tested on the WUSTL-IIoT-2021 dataset, demonstrating the ability of the models to generalize across datasets with common features and attack labels. For real-time intrusion detection and network traffic analysis, we set up an experiment to deploy the trained ML models in a live network environment. …”
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