Pan-genome-scale metabolic modeling of Bacillus subtilis reveals functionally distinct groups by Maxwell Neal, William Brakewood, Michael Betenbaugh, Karsten Zengler

“…Using the model and phenotypic predictions, we divide B. subtilis strains into five groups with distinct patterns of behavior that correlate across these features. …”
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Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

“…This study aims to identify the best deep learning and machine learning models to identify the unethical behavior patterns of learners using distance education exam data of an educational institution. …”
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DSAT: a dynamic sparse attention transformer for steel surface defect detection with hierarchical feature fusion by Shouluan Wu, Hui Yang, Liefa Liao, Chao Song, Yating Fang, Jianglong Fu, Tan Li

“…These defects exhibit diverse morphological characteristics and complex patterns, which pose substantial challenges to traditional detection models, particularly regarding multi-scale feature extraction and information retention across network depths. …”
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Comorbidities in the diseasome are more apparent than real: What Bayesian filtering reveals about the comorbidities of depression. by Peter Marx, Peter Antal, Bence Bolgar, Gyorgy Bagdy, Bill Deakin, Gabriella Juhasz

“…Comorbidity patterns have become a major source of information to explore shared mechanisms of pathogenesis between disorders. …”
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Lightweight hybrid transformers-based dyslexia detection using cross-modality data by Abdul Rahaman Wahab Sait, Yazeed Alkhurayyif

“…DL architectures, including convolutional neural networks (CNNs) and vision transformers (ViTs), encounter challenges in extracting meaningful patterns from cross-modality data. …”
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Spatial and spatio-temporal analysis of cancer mortality in Iran: gender disparities and implications for health policy by Alireza Zangeneh, Arash Ziapour, Seyede Negin Hoseini, Babak Nazari, Homa Molavi, Farid Najafi, Ardeshir Khosravi, Reza Heidari Moghadam

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MultiRepPI: a cross-modal feature fusion-based multiple characterization framework for plant peptide-protein interaction prediction by Yu Zhiguo, Li Zixuan, Li Peng

“…First, a cross-modal encoding module (CME) is designed by fusing convolutional neural networks, recurrent neural networks, and feature enhancement mechanisms, which is capable of extracting multi-scale deep features from peptide and protein sequences, and thus better capturing their interactions at different levels. …”
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Altered microstate C and D dynamics in high social anxiety: a resting-state EEG study by Huoyin Zhang, Huoyin Zhang, Binyu Peng, Yutong Liu, Yu Xi, Yi Lei, Yi Lei

“…IntroductionSocial anxiety is characterized by excessive fear of negative evaluation and avoidance in social situations. While its neural processing patterns are well-documented, the millisecond-level temporal dynamics of brain functional networks remain poorly understood. …”
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Spatiotemporal Forecasting of Solar and Wind Energy Production: A Robust Deep Learning Model with Attention Framework by Md. Shadman Abid, Razzaqul Ahshan, Mohammed Al-Abri, Rashid Al Abri

“…The suggested model integrates the feature extraction expertise of CNNs with the sequence modeling proficiency of BiLSTM networks to capture spatial linkages and temporal interdependence adeptly. …”
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Machine learning-based model for behavioural analysis in rodents applied to the forced swim test by Andrea Della Valle, Sara De Carlo, Gregorio Sonsini, Sebastiano Pilati, Andrea Perali, Massimo Ubaldi, Roberto Ciccocioppo

“…Therefore, they are often unable to accurately differentiate the major subtypes of movement patterns, such as swimming and climbing. To address these limitations, we propose a novel approach based on machine learning (ML) using a three-dimensional residual convolutional neural network (3D RCNN) that processes video pixels directly, capturing the spatiotemporal dynamics of rodent behaviour. …”
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Mechanical Properties of Large-Volume Waste Concrete Lumps Cemented by Desert Mortar: Laboratory Tests by Hui Chen, Zhiyuan Qi, Baiyun Yu, Xinyu Li

“…DIC maps showed unidirectional energy release in pure-mortar specimens, whereas aggregate-containing specimens displayed chaotic energy patterns. This confirms that aggregates alter stress fields at crack tips and redirect energy-dissipation paths, shifting failure from single-crack propagation to a multi-scale damage network. …”
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Reporting of immune-related adverse events in US Food and Drug Administration approvals of immune checkpoint inhibitors by Shaili Tapiavala, Chongliang Luo, Mina Shenouda, Vaibhav Patel, Andrew A. Davis

“…Thus, we systematically evaluated the patterns and consistency of irAEs reporting in trials leading to US Food and Drug Administration (FDA) ICI approvals.MethodsWe evaluated 75 primary articles from 2011-2021. …”
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Comprehensive analysis of extensive drug-resistant Salmonella Typhi in Gujarat region, India: genomic findings and prospective alternative therapy by Sadanand Dangari Akshay, Heli Upadhyaya, Nitin Shukla, Rohit Bhattacharjee, Sunilkumar Das, Urmi Vyas, Priyank Chavda, Nimesh Patel, Dixsha Jamkhandi, Pritesh Sabara, Neeta Khandelwal, Sumeeta Soni, Kamlesh Upadhyaya, Jayesh Katira, Geeti Maheshwari, Madhvi Joshi, Devarshi Gajjar, Chaitanya Joshi

“…Typhi, in Gujarat, this study evaluated the antibiotic resistance patterns of S. …”
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Comprehensive Analysis of N6-Methyladenosine (m6A) RNA Methylation Regulators and Tumour Microenvironment Cell Infiltration Involving Prognosis and Immunotherapy in Gastroesophagea... by Duanrui Liu, Mingjie Yuan, Zongming Wang, Liping Sun, Yusong Fang, Xiaoli Ma, Lulu Zhang, Yuanxin Xing, Jingyu Zhu, Yunyun Liu, Wenshuai Zhu, Shuqin Bao, Yanfei Jia, Yunshan Wang

“…In this study, we examined the TME of GEA using assessments of the RNA-sequencing data focusing on the distinct m6A modification patterns from the public databases. Intrinsic patterns of m6A modification were evaluated for associations with clinicopathological characteristics, underlying biological pathways, tumour immune cell infiltration, oncological outcomes, and treatment responses. …”
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Psychometric properties of the Dating Violence Questionnaire for Victimization and Perpetration (DVQ-VP) in Ecuadorian population by Andrés Ramírez, Luis Burgos-Benavides, Javier Herrero Díez, Hugo Sinchi-Sinchi, Alhena L. Alfaro-Urquiola, Venus Medina-Maldonado, Francisco Javier Rodríguez-Díaz

“…Additionally, a network analysis was conducted with the DVQ-VP items. …”
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Expression of pathogenesis-related proteins in potato brown rot plants confers resistance to filamentous pathogens under field trials by Hanaa S. Omar, Mohamed H. Hagag, Dina El-Khishin, Mona Hashem

“…The DGGE uses 16 srRNA primers that were used to compare two extreme patterns for identifying the microbial population detected in environmental samples. …”
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Deep learning empowered sensor fusion boosts infant movement classification by Tomas Kulvicius, Dajie Zhang, Luise Poustka, Sven Bölte, Lennart Jahn, Sarah Flügge, Marc Kraft, Markus Zweckstetter, Karin Nielsen-Saines, Florentin Wörgötter, Peter B. Marschik

“…Convolutional neural network (CNN) architectures were used to classify movement patterns. …”
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Influence of lower-level reverse faults on shale gas enrichment and high yield: A case study of Pingqiao Dong-1 Fault in Nanchuan area, southeast margin of Sichuan Basin by GAO Quanfang,ZHANG Peixian,GUAN Linlin,LI Yanjing,NI Feng

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Changing dynamics of renewable energy investments ecosystem: A scientometrics analysis by Rajesh Mohnot, Ilhan Ozturk, Aqila Rafiuddin, Gyanendra Singh Sisodia, Vivek Kumar Singh

“…These tools enabled a detailed examination of research patterns, thematic developments, and scholarly networks within the field. …”
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Optical Coherence Tomography Angiography Characteristics of Polypoidal Lesions in Caucasians by Daniel Ahmed-Balestra, Alexandra Graf, Martin Stattin, Anna-Maria Haas, Stefan Kickinger, Michael Jacob, Claus Zehetner, Katharina Krepler, Siamak Ansari-Shahrezaei

“…This study highlights the importance of a multimodal imaging approach, including SS-OCTA, for the evaluation of polypoidal lesions. Our findings suggest a morphological heterogeneity of vascular patterns in Caucasian patients with polypoidal lesions, as pictured by SS-OCTA.…”
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