Concrete Spalling Severity Classification Using Image Texture Analysis and a Novel Jellyfish Search Optimized Machine Learning Approach by Nhat-Duc Hoang, Thanh-Canh Huynh, Van-Duc Tran

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Cervical ripening at home or in hospital during induction of labour: the CHOICE prospective cohort study, process evaluation and economic analysis by Mairead Black, Cassandra Yuill, Mairi Harkness, Sayem Ahmed, Linda Williams, Kathleen A Boyd, Maggie Reid, Amar Bhide, Neelam Heera, Jane Huddleston, Neena Modi, John Norrie, Dharmintra Pasupathy, Julia Sanders, Gordon C S Smith, Rosemary Townsend, Helen Cheyne, Christine McCourt, Sarah Stock

“…Postnatal survey: process evaluation; economic analysis. Published literature: economic analysis. …”
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Automated Search of Rhythm Figures in a Literary Text for Comparative Analysis of Originals and Translations Based on the Material of the English and Russian Languages by Nadezhda Stanislavovna Lagutina, Ksenia Vladimirovna Lagutina, Elena Igorevna Boychuk, Inna Alekseevna Vorontsova, Ilya Vyacheslavovich Paramonov

“…This experiment made it possible to identify how the features of the author’s style are communicated by the translator, to detect and explain cases of mismatch of rhythm figures in the original and translated texts. …”
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Novel genes involved in vascular dysfunction of the middle temporal gyrus in Alzheimer’s disease: transcriptomics combined with machine learning analysis by Meiling Wang, Aojie He, Yubing Kang, Zhaojun Wang, Yahui He, Kahleong Lim, Chengwu Zhang, Li Lu

“…In conclusion, this study detected changes in intercellular communication between endothelial cells and pericytes in the middle temporal gyrus and identified four novel feature genes related to middle temporal gyrus and vascular functioning in patients with Alzheimer’s disease. …”
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Comparative Analysis of Traditional and Modern NLP Techniques on the CoLA Dataset: From POS Tagging to Large Language Models by Abdessamad Benlahbib, Achraf Boumhidi, Anass Fahfouh, Hamza Alami

“…These challenges include distinguishing between subtle grammatical errors, understanding complex syntactic structures, and detecting semantic inconsistencies, all of which make the task difficult even for human annotators. …”
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Analysis of 6G and B5G waveforms using hybrid MF-ED and ECG-ED spectrum sensing techniques by Arun Kumar, Aziz Nanthaamornphong

“…The proposed algorithms are evaluated in comparison with traditional SS methods, including ED, MF, and cyclostationary feature detection (CFD). Additionally, characteristics including bit error rate (BER), power spectral density (PSD), probability of detection (pd), and probability of false alarm (pfa) were researched and evaluated for 500 and 1000 samples. …”
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Development and Assessment of a Multiple-Analysis System for Diagnosing Malaria and Other Blood Parasite Infections in Humans and Non-Human Primates by Ángela Ceballos-Caro, Víctor Antón-Berenguer, Marta Lanza, Justinn Renelies-Hamilton, Amanda Barciela, Pamela C. Köster, David Carmena, María Flores-Chávez, Emeline Chanove, José Miguel Rubio

“…This study aimed to describe and validate a new highly sensitive and specific multiple-analysis system that can effectively detect numerous etiological agents in a single test. …”
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Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks by Magdalena Fafrowicz, Marcin Tutajewski, Igor Sieradzki, Jeremi K. Ochab, Jeremi K. Ochab, Anna Ceglarek-Sroka, Koryna Lewandowska, Tadeusz Marek, Barbara Sikora-Wachowicz, Igor T. Podolak, Paweł Oświęcimka, Paweł Oświęcimka, Paweł Oświęcimka

“…In recent years, machine learning methods have been widely used to detect connections between regions of interest (ROIs) involved in cognitive functions, as measured by the fMRI technique. …”
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Label credibility correction based on cell morphological differences for cervical cells classification by Wenbo Pang, Yue Qiu, Shu Jin, Huiyan Jiang, Yi Ma

“…Through a similarity comparison between the cluster samples and the statistical feature centers of each class, the label credibility analysis is carried out to group labels. …”
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Identification and validation of diagnostic biomarkers and immune cell abundance characteristics in Staphylococcus aureus bloodstream infection by integrative bioinformatics analys... by Junhong Shi, Li Shen, Yanghua Xiao, Cailing Wan, Bingjie Wang, Peiyao Zhou, Jiao Zhang, Weihua Han, Rongrong Hu, Fangyou Yu, Hongxiu Wang

“…First, after overlapping the differentially expressed genes (DEGs) in S. aureus infection samples from GSE33341-human and GSE33341-mice samples, we detected 63 overlapping genes. Subsequently, the hub genes including DRAM1, PSTPIP2, and UPP1 were identified via three machine-learning algorithms: random forest, support vector machine-recursive feature elimination, and least absolute shrinkage and selection operator. …”
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ToF-SIMS spectral data analysis of Paenibacillus sp. 300A biofilms and planktonic cellsIEEE DataPort by Gabriel D. Parker, Andrew Plymale, Luke Hanley, Xiao-Ying Yu

“…Analysis of bacterial biofilms is particularly challenging and important with diverse applications from systems biology to biotechnology. …”
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Age-related characteristics in differentiated thyroid cancer: a 20-year single-center retrospective analysis in pediatric and adolescent patients by Laura Leite-Almeida, Rita Santos Silva, Margarida Vicente-Ferreira, Carla Costa, Norberto Estevinho, Cíntia Castro-Correia, Sofia Ferreira, Maria Bom-Sucesso

“…Abstract Objective: To characterize a cohort of pediatric thyroid cancer patients, focusing on clinical features and outcomes stratified by age. Subjects and methods: This retrospective analysis included 63 pediatric differentiated thyroid cancer patients treated at a Portuguese pediatric reference hospital over a period of 20 years. …”
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Integrating Otsu Thresholding and Random Forest for Land Use/Land Cover (LULC) Classification and Seasonal Analysis of Water and Snow/Ice by Xuexia Sun, Xiaoyao Li, Bingxiang Tan, Jian Gao, Lei Wang, Shimei Xiong

“…The results show that the overall accuracy (OA) of the water and snow/ice models was 85.50%, with a Kappa coefficient of 0.8088; for the vegetation model, the OA was 93.77%, with a Kappa coefficient of 0.8755. Feature importance analysis indicated that terrain features were key factors in improving classification performance. …”
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On-site trihalomethanes extraction from water using 3D printing solid phase extraction device and analysis by GC-ECD by Diego Barzallo, Héctor Berdugo, Edwin Palacio

“…This user-friendly and miniaturized device features a simple extraction procedure (up to 24-fold enrichment), with excellent sensitivity and precision, which is very useful and practical for the simultaneous analysis of volatile compounds. …”
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Deep learning approach with ConvNeXt-SE-attn model for in vitro oral squamous cell carcinoma and chemotherapy analysis by Abhay Nath, Om Roy, Priyanka Silveri, Sanskruti Patel

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First report of fire blight on Cotoneaster in China by Han Lili, Chen Xiaolu, Wang Jiehua, Chen Weimin

“…The bacterium was identified through morphological characterization of the colonies, pathogenicity assays, tobacco hypersensitivity tests, and specific polymerase chain reaction (PCR) amplification, followed by sequence analysis. The isolated bacterium exhibited morphological features consistent with E. amylovora, and pathogenicity tests conducted under greenhouse conditions confirmed its pathogenicity, as evidenced by bacterial dissemination from the main leaf veins to surrounding tissues and the presence of bacterial exudates at the petioles. …”
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Intelligent recognition and sustainable security protection strategies for abnormal behavior of power grid operation data based on multidimensional digital portrait and deep neural... by Qingqing Ren, Wanqing Kang, Xuehui Yang, Qingpeng Wang, Qiang Huang

“…CNN extracts spatial and frequency features, while RNN processes time series data, enabling accurate anomaly detection. …”
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Decoding Consumer Sentiments: Advanced NLP Techniques for Analyzing Smartphone Reviews by Shaista Jabeen

“…The ultimate goal is to provide smartphone manufacturers with actionable insights to refine product features and marketing strategies. We propose a dual-model framework using bidirectional encoder representations from transformers (BERT) and sentence transformers for sentiment analysis and topic modeling, respectively. …”
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Characterizing Discourse and Engagement Across Topics of Misinformation on Twitter by Dominika Nadia Wojtczak, Claudia Peersman, Luisa Zuccolo, Ryan McConville

“…This study provides detailed information on topics and the volume of misinformation on social media platforms, and the findings can be used to develop more advanced detection systems and support further analysis. Our findings can help policy makers understand what kind of online misinformation has been spreading on Twitter and how to plan campaigns to make users more aware of how to spot its various features in an online user-to-user Twitter environment.…”
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NoiseAugmentNet-HHO: Enhancing Histopathological Image Classification Through Noise Augmentation by Prem Purusottam Jena, Debahuti Mishra, Kaberi Das, Sashikala Mishra

“…Histopathological image analysis is critical in contemporary medical diagnostics, enabling precise examination of tissue samples at microscopic levels. …”
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