Explainable AI for Spectral Analysis of Electromagnetic Fields by Dimitris Kalatzis, Agapi Ploussi, Ellas Spyratou, Theodor Panagiotakopoulos, Efstathios P. Efstathopoulos, Yiannis Kiouvrekis

“…The frequency bands analyzed include FM radio (87.5-108 MHz), VHF, UHF television, and various mobile telephony zones (700 MHz, 800 MHz, 900 MHz, 1800 MHz, 2100 MHz, 2600 MHz, and 3600 MHz), representing both traditional and emerging wireless technologies. A comparative evaluation of six machine learning algorithms was conducted: XGBoost, LightGBM, Random Forests, k-Nearest Neighbors, Neural Networks and Decision Trees to assess prediction performance across each frequency band. …”
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Desiccation cracking remediation through enzyme induced calcite precipitation in fine-grained soils under wetting drying cycles by Kaniz Roksana, Shaini Aluthgun Hewage, Melissa Montalbo Lomboy, Chaosheng Tang, Wei Xue, Cheng Zhu

“…Multiple fluid samples, including a control sample, a cementation solution containing 1 M urea, 0.675 M CaCl2, and 4 g/L milk, along with various concentrations of enzyme solutions (3–80 g/L), were tested for the study. To evaluate the surface cracking patterns, the method involved constant monitoring and photo recording using a high-resolution camera aided by image processing software. …”
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Choosing a starting professional trajectory: job-education mismatch effect by A. D. Melnik, A. E. Sudakova, N. L. Antonova

“…The findings, derived from a quantitative assessment of the university-business partnership network, raise concerns about how this network is managed by universities, especially within federal universities and those adhering to the industrial leadership track outlined in the programme Priority-2030. …”
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An Enhanced Framework for Assessing Pluvial Flooding Risk with Integrated Dynamic Population Vulnerability at Urban Scale by Xinyi Shu, Chenlei Ye, Zongxue Xu, Ruting Liao, Pengyue Song, Silong Zhang

“…By constructing a hydrological–hydrodynamic coupled model using the SWMM and LISFLOOD-FP, this study evaluates the drainage capacity of the pipe network and surface inundation characteristics under both historical and design rainfall scenarios. …”
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Identification and functional analysis of energy metabolism and pyroptosis-related genes in diabetic nephropathy by Shan He, Jian Ye, Yu Wang, Lu yang Xie, Si Yi Liu, Qin kai Chen

“…Subsequent analyses included Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment, Gene Set Enrichment Analysis (GSEA), and Protein-Protein Interaction (PPI) network analysis. Additionally, mRNA-miRNA, mRNA-drug, and mRNA-transcription factor (TF) interaction networks were constructed. …”
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Classification of maize seed hyperspectral images based on variable-depth convolutional kernels by Yating Hu, Hongchen Zhang, Hongchen Zhang, Changming Li, Qianfu Su, Wei Wang

“…This design enables the network to adaptively extract continuous spectral features by modulating kernel depth, while simultaneously capturing fine-grained textural patterns through hierarchical convolutional operations. …”
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Exosomal lncRNA profiles in patients with HFrEF: Evidence for KLF3-AS1 as a novel diagnostic biomarker by Lei Wang, Yanan Zhang, Jiapu Wang, Xiao Jiang, Gang Wang, Haixiong Wang, Yan Shu, Han Huiyuan

“…PPI network analysis identified INS, CTNNB1, and CAT as the most prominent hub genes, whereas MDM2, MYH6, ENAH, and KLF3-AS1 were significantly enriched in the RBP interaction network. …”
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Bibliometric Analysis of Research Productivity and Impact at the University of Dodoma: by Josephine Wilfred Ogondiek

“… This study provides a bibliometric analysis of research publications from the University of Dodoma (UDOM) between 2007 and 2022, offering a comprehensive evaluation of the institution's scholarly output. By examining citation metrics and academic publications, the research reveals key patterns that shed light on the effectiveness and impact of UDOM's research initiatives. …”
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Digital Monitoring and Tracking System with IoT Technology for Elderly Patients by Muhammad Fareez Haziq Eddie Wan, Zuhairiah Zainal Abidin, Aizan Ubin, Huda A. Majid

“…Data were collected and evaluated by sensors positioned on test subjects to imitate the movements of elderly patients. …”
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Machine Learning-Based Ransomware Classification of Bitcoin Transactions by Suleiman Ali Alsaif

“…In this article, we propose a high-performance Bitcoin transaction predictive system that investigates Bitcoin payment transactions to learn data patterns that can recognize and classify ransomware payments for heterogeneous bitcoin networks into malicious or benign transactions. …”
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Enhanced recovery pathway for older people with hip fracture and cognitive impairment in acute hospitals: the PERFECTED research programme including an RCT by Chris Fox, Simon P Hammond, Lee Shepstone, Fiona Poland, Catherine Henderson, Tamara Backhouse, Bridget Penhale, Simon Donell, Martin Knapp, Douglas Lewins, Alasdair MacLullich, Martyn Patel, Opinder Sahota, Toby O Smith, Justin Waring, Jane L Cross

“…Work package 3: feasibility trial We undertook a feasibility, multicentre, cluster RCT with integral economic evaluation. In line with Medical Research Council guidance for complex interventions, we also conducted an integrated multimethod multiperspective (from patients, suitable informants and NHS professionals) process evaluation. …”
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Enhanced Feature Selection via Hierarchical Concept Modeling by Jarunee Saelee, Patsita Wetchapram, Apirat Wanichsombat, Arthit Intarasit, Jirapond Muangprathub, Laor Boongasame, Boonyarit Choopradit

“…The presented methods are evaluated based on all learned attributes with 10 datasets from the UCI Machine Learning Repository by using three classification algorithms, namely decision trees, support vector machines (SVM), and artificial neural networks (ANN). …”
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A Trust Based Anomaly Detection Scheme Using a Hybrid Deep Learning Model for IoT Routing Attacks Mitigation by Khatereh Ahmadi, Reza Javidan

“…According to the presented results, the implemented detection scheme on all attack scenarios, demonstrated that the trend of estimated anomaly between real and predicted routing behavior is similar to the evaluated attack frequency of malicious nodes during the RPL process and in contrast, analyzed trust scores represent an opposite pattern, which shows high accurate and timely detection of attack incidences using our proposed trust scheme.…”
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Charting the spatial transcriptome of the human cerebral cortex at single-cell resolution by Songren Wei, Meng Luo, Pingping Wang, Rui Chen, Xiyun Jin, Chang Xu, Chenyang Li, Xiaoyu Lin, Zhaochun Xu, Hongxin Liu, Rui Cheng, Wenyi Yang, Yideng Cai, Guangfu Xue, Peng Huang, Zhigang Liu, Haoxiu Sun, Jiangping Xu, Qinghua Jiang

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Orthogonal Frequency Division Multiplexing With Generalized Joint Index Modulation by Zeng Hu, Yanke Che, Jing Wang, Xuhong Peng, Chaobo He, Dehuan Wan, Yun Liu, Ting Wu

“…Then, a tight upper bound on the bit error rate (BER) is derived in closed form to evaluate the system performance of the proposed GJ-OFDM-IM. …”
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Mamba time series forecasting with uncertainty quantification by Pedro Pessoa, Paul Campitelli, Douglas P Shepherd, S Banu Ozkan, Steve Pressé

“…To achieve this, we propose a dual-network framework based on the Mamba architecture for probabilistic forecasting, where one network generates point forecasts while the other estimates predictive uncertainty by modeling variance. …”
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Identification and Immunological Characterization of Cuproptosis Related Genes in Preeclampsia Using Bioinformatics Analysis and Machine Learning by Tiantian Yu, Guiying Wang, Xia Xu, Jianying Yan

“…The current study aims to elucidate the gene expression matrix and immune infiltration patterns of cuproptosis‐related genes (CRGs) in the context of PE. …”
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Comparison of Machine Learning Methods for Menstrual Cycle Analysis and Prediction by Mutiara Khairunisa, Desak Made Sidantya Amanda Putri, I Gusti Ngurah Lanang Wijayakusuma

“…This study compares three machine learning methods—Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), and Decision Tree—for analyzing and predicting menstrual cycles. …”
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Classification of Hybrid and Peking Duck DOD Varieties Based on Feather Images Using CNN by Khoironi, I Wayan Rangga Pinastawa

“…In this study, a deep learning approach with the Convolutional Neural Network (CNN) algorithm was applied to classify DOD varieties based on feather images. …”
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Federated Learning for Privacy-Preserving Employee Performance Analytics by Jay Barach

“…This paper introduces HFAN-Priv, a hierarchical federated attention network designed to predict employee resignation risk and evaluate performance trends without sharing raw data across organizations. …”
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