Comparative Analysis of Machine Learning Algorithms With Advanced Feature Extraction for ECG Signal Classification by Tanuja Subba, Tejbanta Chingtham

“…Electrocardiography (ECG) is a prominent way to analyze heart rate and to diagnose cardiovascular disease. However, its availability has been restricted, especially in contexts with limited resources, due to the cost associated with conventional ECG signal processing equipment. …”
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Towards Automated Quality Control in Industrial Systems: Developing Markov Decision Process Model for Optimized Decision-Making by Katerina Mitkovska-Trendova, Robert Minovski, Verica Bakeva, Simeon Trendov, Dimitar Bogatinov

“…Practically, the model offers a robust tool for optimizing manufacturing processes, supported by modern IT systems, integration of advanced technologies, predictive maintenance, and data-driven decision-making. …”
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A Digital Photo Activity Intervention for Nursing Home Residents With Dementia and Their Carers: Mixed Methods Process Evaluation by Josephine Rose Orejana Tan, David P Neal, Maria Vilmen, Petra Boersma, Teake P Ettema, Robbert J J Gobbens, Sietske A M Sikkes, Rose-Marie Dröes

“…For qualitative data, thematic analysis was performed. …”
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Numerical modeling of coaxial wire-powder laser directed energy deposition process in dissimilar metal additive manufacturing by Stephanie B. Lawson, Dongqing Yan, Ali Tabei, Brian K. Paul, Somayeh Pasebani

“…Coaxial wire-fed powder-fed directed energy deposition (CWP-DED), a single-step additive manufacturing process, offers the unique capability of producing tailored dissimilar metals by combining the high deposition rates of wire-based DED with the high resolution and complexity of powder-based DED. …”
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The impact of enhancing performance management processes on technological innovation outputs: a field study in Laghouat cereals company by Souheyla Cherif

“…We have conducted a quantitative study and collected data in a real-world setting through questionnaires, to explore the relationship between performance management processes and the level of technological innovation achieved by the company. …”
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Developmental trajectories of loneliness and social support in older adults: based on the parallel process latent growth curve model by Chang Hu, Yuhan Chen, Xin Li, Xi Wang, Jin Chu

“…Cross-lagged panel modeling (CLPM) was employed to examine bidirectional predictive relationships, while parallel process latent growth curve modeling (LGCM) was applied to assess associations between initial levels and developmental rates of the two constructs.Results(1) The loneliness of the older adults gradually increased over time, while the level of social support slowly decreased. (2) Loneliness could negatively predict social support from T1 to T2, and T2 to T3, but only social support at T1 negatively predicted loneliness at T2. (3) The initial level of loneliness could negatively predict the development speed of social support, and social support could also negatively predict the development speed of loneliness.ConclusionWe found that that high loneliness is a risk factor in the development of social support levels, and high social support is also a protective factor in the development of loneliness, which provides empirical evidence for the study of emotional health in the older adults.…”
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Calibration of DEM Parameters and Microscopic Deformation Characteristics During Compression Process of Lateritic Soil with Different Moisture Contents by Chao Ji, Wanru Liu, Yiguo Deng, Yeqin Wang, Peimin Chen, Bo Yan

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The effectiveness of automatic laparoscopic diagnostics of liver pathology using different methods of digital images classification by D. N. Bayazitov, N. V. Kresyun, А. B. Buzinovsky

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Constraining the timing and processes of pediment formation and dissection: implications for long-term evolution in the Western Cape, South Africa by J. C. Richardson, V. Vanacker, D. M. Hodgson, M. Christl, A. Lang

“…<p>Pediment surfaces are a widespread feature of the southern African landscape and have long been regarded as ancient landforms. Cosmogenic nuclide data from four pediment surfaces in the Gouritz catchment, Western Cape, South Africa, are reported, including boulder surface samples and a depth profile through a colluvial pediment deposit. …”
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Unsupervised clustering for sepsis identification in large-scale patient data: a model development and validation study by Na Li, Kiarash Riazi, Jie Pan, Kednapa Thavorn, Jennifer Ziegler, Bram Rochwerg, Hude Quan, Hallie C. Prescott, Peter M. Dodek, Bing Li, Alain Gervais, Allan Garland

“…After preprocessing 592 variables (demographics, encounter characteristics, diagnoses, medications, laboratory tests, and clinical management) and applying data reduction, we presented 55 principal components to eight different clustering algorithms. …”
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The Impact of Drilling Operation Parameters on the Lost Circulation Problems for Oil and Gas Wells Based on Field Data by Mayssa N. Shehab, Fahad M. Al Najm, Mohammed H. Al Kaabi

“…In this research, a field study was carried out to investigate the effect of 6 drilling parameters on the rate of the lost circulation. The investigated parameters are the rate of penetration, weight on bit, stand pipe pressure, mud weight, flow rate, and the equivalent circulation density. …”
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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

“…Abstract Due to imbalanced data values and high-dimensional features of lung cancer from CT scans images creates significant challenges in clinical research. …”
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Evaluation of a Semi-Continuous Disk-Stack Centrifuge for the Harvest of Tsukamurella Paurometabola C-924 Bacterium by Rafael Marcos Pimentel Pérez, Amaury Pérez Sánchez, Jesús Zamora Sánchez, Yovisleydis López Sáez, Rutdali María Segura Silva, Amparo Olazábal Reyes

“…The statistical-mathematical programs Statgraphics Centurion® XV.II, Microsoft Excel®, and MATLAB® v7.0.1 were used for data and results processing.…”
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Humanizing processes after harm part 1: patient safety incident investigations, litigation and the experiences of those affected by Lauren Ramsey, Laura Sheard, Justin Waring, Siobhan McHugh, Ruth Simms-Ellis, Ruth Simms-Ellis, Gemma Louch, Katherine Ludwin, Jane K. O’Hara

“…To address this, we propose five key recommendations, to: (1) prioritize the needs of those affected by incidents, (2) overcome culturally engrained fears of litigation to re-humanize processes and reduce rates of unnecessary litigation, (3) recognize and value the emotionally laborious and skilled work of investigators (4) inform and support those affected, (5) proceed in ways that recognize and seek to reduce social inequities.…”
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Implications of Pulse Frequency in Terrestrial Laser Scanning on Forest Point Cloud Quality and Individual Tree Structural Metrics by Tom E. Verhelst, Kim Calders, Andrew Burt, Miro Demol, Barbara D’hont, Joanne Nightingale, Louise Terryn, Hans Verbeeck

“…Differences among the raw acquired scans from different PRR replicates were largely removed by several necessary data processing steps, notably the removal of uncertain points with a low reflectance attribute. …”
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Lower-Complexity Multi-Layered Security Partitioning Algorithm Based on Chaos Mapping-DWT Transform for WA/SNs by Tarek Srour, Mohsen A. M. El-Bendary, Mostafa Eltokhy, Atef E. Abouelazm, Ahmed A. F. Youssef, Ali M. El-Rifaie

“…Therefore, these LP-WN applications require special techniques to satisfy the requirements of a low data loss rate and satisfy the security requirements while considering the accepted level of complexity and power efficiency of these techniques. …”
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Research on Data Repair of Pile-Type Adjustable Wind Turbine Foundation Monitoring Based on FST-ATTNet by WEI Huanwei, ZHAO Jizhang, ZHENG Xiao, TAN Fang, LIU Cong

“…In the continuous data missing test, even with a missing rate as high as 40%, FST-ATTNet maintains high reconstruction accuracy with <italic>R</italic>² of 0.94 and <italic>MSE</italic> of 0.95. …”
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High-performance sentiment classification of product reviews using GPU(parallel)-optimized ensembled methods by Annaluri Sreenivasa Rao, Yeruva Jaipal Reddy, Guggilam Navya, Neelima Gurrapu, Jala Jeevan, M. Sridhar, Desidi Narasimha Reddy, Siva Kumar Pathuri, Dama Anand

“…Sentiment analysis is an important approach in natural language processing (NLP) that extracts information from text to infer underlying emotions or views. …”
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A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States. by John M Drake, Andreas Handel, Éric Marty, Eamon B O'Dea, Tierney O'Sullivan, Giovanni Righi, Andrew T Tredennick

“…The baseline transmission rate is the product of a human mobility metric obtained from data and this fitted latent process. …”
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Deconvolution of expression microarray data reveals 131I-induced responses otherwise undetected in thyroid tissue. by Britta Langen, Nils Rudqvist, Johan Spetz, Khalil Helou, Eva Forssell-Aronsson

“…In conclusion, previously reported trends of 131I-induced transcriptional responses in thyroid were reproduced with deconvolved data and usually with a higher detection rate. Deconvolution also resolved an issue with detecting damage and stress responses in enriched data, and may reduce false negatives in other contexts as well. …”
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