Optimal parameter identification of photovoltaic systems based on enhanced differential evolution optimization technique by Shubhranshu Mohan Parida, Vivekananda Pattanaik, Subhasis Panda, Pravat Kumar Rout, Binod Kumar Sahu, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

“…However, precise PV cell modelling is critical for design due to many critical factors, such as inherent nonlinearity, existing complexity, and a wide range of model parameters. Although different researchers have recently proposed several effective techniques for solar PV system parameter identification, it is still an interesting challenge for researchers to enhance the accuracy of the PV system modelling. …”
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The dynamics of learning styles and adaptive flexibility in quantity surveying education: implications for academic performance by Mylan Jonas, Gerrit Crafford, Sibulelokuhle Xulaba, David Edwards

“…Overall, this research illuminates the complexities inherent in the learning processes of specialised educational fields. …”
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Socio-economic assessment of dog population management systems: a scoping review by Rabina Ghimire, Parimala Mohanty, Elly Hiby, Andrew Larkins, Andrew Larkins, Salome Dürr, Sonja Hartnack

“…The review highlighted a range of intervention, impact, and monetary parameters to evaluate the economics of DPM systems, demonstrating the complexity and varied scope of the services. Varied categorizations of the dog population were observed, making comparative evaluation challenging. …”
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Aplicación de la Metodología OOWS y el Marco Ágil Scrum en el Diseño del “Chat Corporativo” by Miriam López Sanluis, Elizabeth Cuatecontzi Cuahutle, María Guadalupe Medina Barrera, María Janaí Sánchez Hernández, José Juan Hernández Mora

“…Como trabajo futuro, se propuso migrar el chat a una plataforma Cloud Computing para aprovechar las ventajas como la escalabilidad, alta disponibilidad y seguridad que estas tecnologías ofrecen. …”
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Associations between exposure to volatile organic compounds with obesity in adults by Runmiao Wu, Lei Jia, Xu Zhu, Gongchang Guan, Junkui Wang, Rutai Hui, Meijuan Ma, Zhao Zhao, Hui Pang, Ling Zhu

“…Linear regression and logistic regression models were employed to estimate β-coefficients or odds ratios (ORs) along with their corresponding 95 % confidence intervals (CIs). Quantile g-computation (Qgcomp) regression, a method designed to evaluate the combined effects of multiple correlated chemical exposures, was used to assess the mixed influence of VOC metabolites on obesity-related outcomes. …”
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Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization by Revathy Venkataramanan, Revathy Venkataramanan, Aalap Tripathy, Tarun Kumar, Sergey Serebryakov, Annmary Justine, Arpit Shah, Suparna Bhattacharya, Martin Foltin, Paolo Faraboschi, Kaushik Roy, Amit Sheth

“…Regenerating metadata history by re-executing existing AI pipelines is computationally challenging and impractical. To address this issue, we propose to source AI pipeline metadata from open-source platforms such as Papers-with-Code, OpenML, and Hugging Face. …”
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The Generation and Modulation of Distinct Gamma Oscillations with Local, Horizontal, and Feedback Connections in the Primary Visual Cortex: A Model Study on Large-Scale Networks by Chuanliang Han, Tian Wang, Yujie Wu, Yang Li, Yi Yang, Liang Li, Yizheng Wang, Dajun Xing

“…Here, we aimed to understand this question in a large-scale network model for the primary visual cortex (V1). We created a computational model composed of multiple excitatory and inhibitory units with biologically plausible connectivity patterns for RC, FF, FB, and HC in V1; then, we quantitated GAMMA in network models at different strength levels of HC and other connection types. …”
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ADMET evaluation in drug discovery: 21. Application and industrial validation of machine learning algorithms for Caco-2 permeability prediction by Dong Wang, Jieyu Jin, Guqin Shi, Jingxiao Bao, Zheng Wang, Shimeng Li, Peichen Pan, Dan Li, Yu Kang, Tingjun Hou

“…While Caco-2 cell assay is considered safe and cost-effective, it is also characterized by being time-consuming. Therefore, computational models that achieve high accuracies in predicting Caco-2 permeability are crucial for enhancing the efficiency of oral drug development. …”
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Soil porosity as a key factor of soil aggregate stability: insights from restricted grazing by Yi Yang, Yi Yang, Yi Yang, Zhongju Meng, Zhongju Meng, Zhongju Meng, Haonian Li, Haonian Li, Haonian Li, Yue Gao, Yue Gao, Yue Gao, Tianyang Li, Tianyang Li, Tianyang Li, Lei Qin

“…The findings obtained from the computations using the boosted regression tree (BRT) demonstrated that, within the study period, soil porosity significantly affects soil aggregate stability compared to other factors. …”
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A comparative machine learning study of schizophrenia biomarkers derived from functional connectivity by Victoria Shevchenko, R. Austin Benn, Robert Scholz, Wei Wei, Carla Pallavicini, Ulysse Klatzmann, Francesco Alberti, Theodore D. Satterthwaite, Demian Wassermann, Pierre-Louis Bazin, Daniel S. Margulies

“…We developed a pipeline which allows us to aggregate over a million different features and assess their predictive potential in a single, computationally efficient experiment. We selected top 1% of features with the largest permutation feature importance and trained 13 classifiers on them using 10-fold cross-validation. …”
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Machine learning identification of a novel vasculogenic mimicry-related signature and FOXM1’s role in promoting vasculogenic mimicry in clear cell renal cell carcinoma by Chao Xu, Sujing Zhang, Jingwei Lv, Yilong Cao, Yao Chen, Hao Sun, Shengtao Dai, Bowei Zhang, Meng Zhu, Yuepeng Liu, Junfei Gu

“…A consensus VRG_score was formulated using a machine learning computational framework and Cox regression, displaying strong predictive power for prognosis and clinical translation. …”
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Resident action in smart waste management during landfill disclosure transition: Insights from Yogyakarta's smart city initiatives by Sapta Suhardono, Chun-Hung Lee, Thi Thanh Thuy Phan, I Wayan Koko Suryawan

“…Adopting a mixed-methods approach, this study integrates advanced computational intelligence with qualitative insights into behavioral drivers. …”
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Thermal Response and Degressive Reaction Study of Oxo-Biodegradable Plastic Products Exposed to Various Degradation Media by S. M. Al-Salem, A. Y. Al-Nasser, M. H. Behbehani, H. H. Sultan, H. J. Karam, M. H. Al-Wadi, A. T. Al-Dhafeeri, Z. Rasheed, M. Al-Foudaree

“…The methodology used followed the International Confederation for Thermal Analysis and Calorimetry (ICTAC) recommendation for thermal stability and the computation of kinetic parameters. The degradation reaction kinetics were also determined postexposure to degressive media. …”
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Design and fabrication of a device for cleaning greenhouse roofs by Ahmed Amin, Xiaochan Wang, Zhao Lianyuan, Yinyan Shi, Ren Xiaoyan, Mahmoud Okasha, Reda Hassanien Emam Hassanien

“…The cleaning part of the 3D model was investigated using Computational Fluid Dynamics (CFD) software. The simulation outcomes informed that the system could supply a uniform nozzle speed. …”
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Biomechanical Modeling and Evaluation of Buttocks Automatic Assisted Repositioning in Bedridden Patients by Liqing Yang, Ganjun Song, Di Luo, Haotian Xu, Jiamei Han, Mingzhao Xiao, Dingqun Bai, Shan Tian, Wensheng Hou, Jisi Tang, Xin Zhang, Lin Chen

“…Therefore, this study developed a novel computational model that integrates the buttocks with a support mattress to simulate automatic assisted repositioning, thereby analyzing deep tissue responses and optimizing tilt angles for effective load offloading. …”
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Augmented reality in patient education and health literacy: a scoping review protocol by Karthik Adapa, Lukasz Mazur, Jennifer Walker, Saumya Jain, Richa Kanwar, Tanzila Zaman, Trusha Taneja

“…A systematic search for references in the published literature will be conducted in nine research databases—Institute of Electrical and Electronics Engineers (IEEE), Cumulative Index to Nursing and Allied Health Literature (CINAHL), PubMed, PsycInfo, Embase, Web of Science, Scopus, Association for Computing Machinery (ACM) and Association for Information Systems eLibrary (AISeL). …”
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Prenatal exposure to polycyclic aromatic hydrocarbons and blood pressure in the early life of children by Xiaodong Chen, Lingling Dong, Lina Yang, Yan Yang, Liyu Yang, Sijia Han

“…Additionally, we applied quantile g-computation (g-comp) and Bayesian kernel machine regression (BKMR) to assess the combined and interaction effects of multiple PAH metabolites. …”
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BenchAMRking: a Galaxy-based platform for illustrating the major issues associated with current antimicrobial resistance (AMR) gene prediction workflows by Nikolaos Strepis, Dennis Dollee, Donny Vrins, Kevin Vanneste, Bert Bogaerts, Catherine Carrillo, Amrita Bharat, Kristy Horan, Norelle L. Sherry, Torsten Seemann, Benjamin P. Howden, Saskia Hiltemann, Leonid Chindelevitch, Andrew P. Stubbs, John P. Hays

“…These four workflows, which include the ISO certified abritAMR workflow, make use of different computational tools (or tool versions), and interrogate different AMR gene sequence databases. …”
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Investigation of Coolant Local Hydrodynamics in the Mixed Core of the VVER Reactor by S. M. Dmitriev, A. V. Gerasimov, A. A. Dobrov, D. V. Doronkov, A. N. Pronin, A. V. Ryazanov, D. N. Solntsev, A. E. Khrobostov

“…The results of the study of the coolant cross flow between fuel assemblies interaction, i.e. between the adjacent TVSA-T and TVSA-T mod.2 fuel assemblies were adopted for practical use in the JSC of “Afrikantov OKB Mechanical Engineering” for assessing the heat engineering reliability of VVER reactor cores; also, they were included in the database for verification of computational hydrodynamics programs (CFD codes) and for detailed cell-based calculation of the reactor core.…”
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Transcriptional signature of CD56bright NK cells predicts favourable prognosis in bladder cancer by Md Abdullah Al Kamran Khan, Alexander James Sedgwick, Yuhan Sun, Julian P. Vivian, Julian P. Vivian, Julian P. Vivian, Alexandra J. Corbett, Riccardo Dolcetti, Riccardo Dolcetti, Riccardo Dolcetti, Theo Mantamadiotis, Theo Mantamadiotis, Stefano Mangiola, Stefano Mangiola, Stefano Mangiola, Alexander David Barrow

“…We determined the relative abundances of gene signatures for CD56bright and CD56dim NK cells along with 3 stromal and 18 other immune cell types in the patient tumour transcriptomes from the cancer genome atlas bladder cancer dataset (TCGA-BLCA). Using this computational approach, CD56bright NK cells were predicted to be the more abundant tumour-infiltrating NK subset which was also associated with improved patient prognosis. …”
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