A Scalable Approach to Internet of Things and Industrial Internet of Things Security: Evaluating Adaptive Self-Adjusting Memory K-Nearest Neighbor for Zero-Day Attack Detection by Promise Ricardo Agbedanu, Shanchieh Jay Yang, Richard Musabe, Ignace Gatare, James Rwigema

“…This study confirms the feasibility of Adaptive SAMKNN as a real-time, scalable, and memory-efficient solution for IoT and IIoT security, providing reliable anomaly detection without overwhelming computational resources. Our proposed method has the potential to significantly increase the security of IoT and IIoT environments by enabling the real-time, scalable, and efficient detection of sophisticated cyber threats, thereby safeguarding critical interconnected systems against emerging vulnerabilities.…”
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A Novel Approach to Faster Convergence and Improved Accuracy in Deep Learning-Based Electrical Energy Consumption Forecast Models for Large Consumer Groups by A. Jayanth Balaji, Binoy B. Nair, D. S. Harish Ram, Kuruvachan Kalluvelil George

“…Deep learning-based models are ideally suited for accurately predicting electrical load in a smart grid. However, the computational overhead in training models and identifying optimal training hyperparameters are challenging problems. …”
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Enhancing CO₂ Adsorption on MgO: Insights into Dopant Selection and Mechanistic Pathways by Shunnian Wu, W. P. Cathie Lee, Hashan N. Thenuwara, Xu Li, Ping Wu

“…Our comprehensive research, integrating computational modeling and experimental work supported by scanning electron microscopy and thermal gravimetric analysis, confirmed the superior CO₂ adsorption capabilities of C-doped MgO. …”
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Using Attention for Improving Defect Detection in Existing RC Bridges by Sergio Ruggieri, Angelo Cardellicchio, Andrea Nettis, Vito Reno, Giuseppina Uva

“…Consequently, an improved version of YOLO11, embedding attention mechanisms to allow the network to focus on the most relevant details in each image, was trained, tested, and validated on the provided dataset, showing an overall improvement of quantitative metrics such as precision and recall, while retaining enough computational efficiency to allow real-time implementation on constrained devices. …”
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Electron-spin decoherence in trityl radicals in the absence and presence of microwave irradiation by G. Jeschke, N. Wili, N. Wili, Y. Wu, S. Kuzin, H. Karas, H. Hintz, A. Godt

“…We introduce partial CCE that alleviates this problem and reduces computational effort at the expense of treating only part of the correlations at a particular order. …”
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EventSegNet: Direct Sparse Semantic Segmentation from Event Data by Pengju Li, Yuqiang Fang, Jiayu Qiu, Jun He, Jishun Li, Qinyu Zhu, Xia Wang, Yasheng Zhang

“…Compared to the baseline model, the optimized network model reduces the F1 score by 1.1% but is more than twice as fast computationally, enabling real-time inference on the NVIDIA AGX Xavier.…”
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Study protocol for an observational study of cerebrospinal fluid pressure in patients with degenerative cervical myelopathy undergoing surgical deCOMPression of the spinal CORD: th... by Armin Curt, Carl Moritz Zipser, Nikolai Pfender, Jose Miguel Spirig, Michael Betz, Jose Aguirre, Markus Hupp, Mazda Farshad, Martin Schubert

“…Parts of the data will be used for computational modelling of cervical stenosis.Trial registration number ClinicalTrials.gov Registry (NCT02170155).…”
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Access to Healthy Built and Natural Environments and Physical Activity and Screen Time in New Zealand Adolescents: A Geospatial Cross‐Sectional Study by L. Marek, J. Wiki, S. Mandic, J. C. Spence, M. Smith, E. García Bengoechea, K. J. Coppell, S. Kingham, M. Hobbs

“…., fast‐food outlets) features and their mixture. Quantile g‐computation and multilevel mixed effects models, with adolescents nested within schools, examined associations between the environment and the two health behaviors. …”
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Complementary cognitive roles for D2-MSNs and D1-MSNs during interval timing by Robert A Bruce, Matthew Weber, Alexandra Bova, Rachael Volkman, Casey Jacobs, Kartik Sivakumar, Hannah Stutt, Youngcho Kim, Rodica Curtu, Kumar Narayanan

“…MSN recordings helped construct and constrain a four-parameter drift-diffusion computational model in which MSN ensemble activity represented the accumulation of temporal evidence. …”
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Easy, fast and reproducible Stochastic Cellular Automata with chouca by Génin, Alexandre, Dupont, Guillaume, Valencia, Daniel, Zucconi, Mauro, Ávila-Thieme, M. Isidora, Navarrete, Sergio A., Wieters, Evie A.

“…Besides providing better reproducibility and accessibility, a fast engine for SCA unlocks novel, computationally intensive statistical approaches, such as simulation-based inference of ecological interactions from field data, which represents by itself an important avenue for research. …”
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Signature for Pain Recovery IN Teens (SPRINT): protocol for a multisite prospective signature study in chronic musculoskeletal pain by Fiona Campbell, Jennifer Stinson, Sara E Williams, Christopher D King, Laura Simons, Massieh Moayedi, Robert C Coghill, Martin S Angst, Nima Aghaeepour, Brice Gaudilliere, Marina López-Solà, Marie-Eve Hoeppli, Emma Biggs, Ed Ganio, Kenneth R Goldschneider, Danielle Ruskin, Elliot J Krane, Suellen Walker, Gillian Rush, Marissa Heirich

“…Given that chronic pain is a biopsychosocial process, this study aims to discover and validate a robust prognostic signature that measures across multiple dimensions in the same adolescent patient cohort with a computational analysis pipeline. This will facilitate risk stratification in adolescent patients with chronic MSK pain and more resourceful allocation of patients to costly and potentially burdensome multidisciplinary pain treatment approaches.Methods and analysis Here we describe a multi-institutional effort to collect, curate and analyse a high dimensional data set including epidemiological, psychometric, quantitative sensory, brain imaging and biological information collected over the course of 12 months. …”
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Numerical modelling of the hydrodynamics driven by tidal flooding of the land surface after dyke breaching by Rachel A. Burns, Ryan P. Mulligan, Megan Elliott, Danika van Proosdij, Enda Murphy

“…The model results also highlight the importance of high-resolution computational grids and variable bottom roughness for simulating the hydrodynamics of small-scale salt marsh restoration projects. …”
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Subseasonal forecasts of heat waves in West African cities by C. G. Ngoungue Langue, C. G. Ngoungue Langue, C. Lavaysse, C. Lavaysse, C. Flamant

“…The performance of the forecast models in predicting heat waves is assessed through the computation of categorical metrics such as the hit rate, the Gilbert skill score and the false alarm ratio. …”
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OA-MEN: a fusion deep learning approach for enhanced accuracy in knee osteoarthritis detection and classification using X-Ray imaging by Xiaolu Ren, Xiaolu Ren, Lingxuan Hou, Shan Liu, Peng Wu, Siming Liang, Haitian Fu, Chengquan Li, Ting Li, Yongjing Cheng

“…The future goal is to seamlessly integrate deep learning and advanced computational techniques with the expertise of medical professionals.…”
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Metabolically activated and highly polyfunctional intratumoral VISTA+ regulatory B cells are associated with tumor recurrence in early-stage NSCLC by Domenico Lo Tartaro, Beatrice Aramini, Valentina Masciale, Nikolaos Paschalidis, Francesco Demetrio Lofaro, Anita Neroni, Rebecca Borella, Elena Santacroce, Alin Liviu Ciobanu, Anna Valeria Samarelli, Federica Boraldi, Daniela Quaglino, Alessandra Dubini, Michele Gaudio, Gloria Manzotti, Francesca Reggiani, Federica Torricelli, Alessia Ciarrocchi, Antonino Neri, Federica Bertolini, Massimo Dominici, Pier Luigi Filosso, Franco Stella, Lara Gibellini, Sara De Biasi, Andrea Cossarizza

“…Spatial analysis showed colocalization of B cells with CD4+/CD8+ T lymphocytes in TME. The computational analysis of intercellular communications that links ligands to target genes, performed by NicheNet, predicted B-T interactions via VISTA-PSGL-1 axis. …”
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Neuroprotective Potential of <i>Origanum majorana</i> L. Essential Oil Against Scopolamine-Induced Memory Deficits and Oxidative Stress in a Zebrafish Model by Ion Brinza, Razvan Stefan Boiangiu, Iasmina Honceriu, Ahmed M. Abd-Alkhalek, Samir M. Osman, Omayma A. Eldahshan, Elena Todirascu-Ciornea, Gabriela Dumitru, Lucian Hritcu

“…In parallel, we performed in silico predictions (research conducted using computational models) of the pharmacokinetic properties of the main compounds identified in OmEO, using platforms such as SwissADME, pKCSM, ADMETlab 2.0, and ProTox-II. …”
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Frequency-specific changes in prefrontal activity associated with maladaptive belief updating in volatile environments in euthymic bipolar disorder by Marina Ivanova, Ksenia Germanova, Dmitry S. Petelin, Aynur Ragimova, Grigory Kopytin, Beatrice A. Volel, Vadim V. Nikulin, Maria Herrojo Ruiz

“…Alterations in frequency-domain amplitude and functional connectivity within the PFC, OFC, and ACC during belief updating underlie the computational effects and could serve as potential indicators for predicting relapse in future research.…”
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SCovid v2.0: a comprehensive resource to decipher the molecular characteristics across tissues in COVID-19 and other human coronaviruses by Zijun Zhu, Xinyu Chen, Guoyou He, Rui Yu, Chao Wang, Changlu Qi, Liang Cheng

“…ABSTRACT SCovid v2.0 (http://bio-annotation.cn/scovid or http://bio-computing.hrbmu.edu.cn/scovid/) is an updated database designed to assist researchers in uncovering the molecular characteristics of coronavirus disease 2019 (COVID-19) across various tissues through transcriptome sequencing. …”
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A 2D linear canonical transform partition algorithm(二维线性正则变换剖分算法) by 赵伟康(ZHAO Weikang), 侯建伟(HOU Jianwei), 刘晴晴(LIU Qingqing)

“…Due to the flexible selection in parameter values of the two-dimensional linear canonical transform, different forms of linear canonical transformation series can be obtained. To enhance the computation speed of linear canonical transform image representation, in this paper, an effective image representation algorithm is proposed by using linear canonical transform series combined with a non-uniform partition algorithm. …”
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Research on the numerical simulation of dynamic explosion shock wave propagation characteristics between floors by Ke Wu, Bo Chen, Hao Li, Yunfeng Zhang, Damin Zhang, Yixuan Wu, Yaguang Sui

“…We particularly focused on discussing the variation patterns of pressure peaks caused by vertical shock wave reflections. Computational analysis indicates that under static conditions, inter-floor explosive shock wave overpressure peaks are significantly stronger than those from free-field explosions. …”
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