CSNK1E is involved in TGF-β1 induced epithelial mesenchymal transformationas and related to melanoma immune heterogeneity by Wangbing Hong, Xin Wang, Xinyu Huang, Pengfei Chen, Yifan Liu, Ziying Zheng, Xin You, Yinghua Chen, Zengxin Xie, Gongnan Zhan, Heping Huang

“…The Least Absolute Shrinkage and Selection Operator (LASSO) algorithm was then applied to refine the gene set and construct a 13-gene prognostic model. …”
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Mosquito breeding water parameters are important determinants for Microsporidia MB in the aquatic stages of Anopheles species by Esinam A. Akorli, Nana Efua Andoh, Richardson K. Egyirifa, Christopher Dorcoo, Sampson Otoo, Seraphim N. A. Tetteh, Reuben Mwimson Pul, Derrick B. Sackitey, Stephen K. D. Oware, Samuel K. Dadzie, Jewelna Akorli

“…Male mosquitoes exhibited a higher frequency of infections and had a predicted probability of infection that was 85% higher than that of females. …”
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AQST-ClustNet: Hybrid Aquila Quantum Sooty Tern Optimization for User Profile Clustering in Social Network by K. Dinesh Babu, L. Sujihelen, C. Senthil Singh

“…A Hybrid Aquila Quantum Sooty Tern Optimization (HAQSTO) algorithm is employed for clustering the user profile into healthcare professionals, marketing professionals, software developers, and educators. …”
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Game Narratives as Tools for Shaping Political Discourse Amidst Information Wars: The Case of the Ukrainian Conflict by Daniil A. Fedotov, Stanislav I. Kaminsky

“…The methodology of the study is based on the synthesis of narrative, semiotic and discourse analysis of game annotations, algorithmic study of game mechanics, expert assessments and longitudinal monitoring. …”
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Clothes consumption and disposal practices: a look at the profile of Brazilian apparel consumers by Rimena Canuto Oliveira, Irenilza de Alencar Nääs, Solimar Garcia

“…Only four attributes were chosen by the algorithm to build the trees (age, annual income, yearly spending on clothes and how long the clothes are worn). …”
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Quality of a fished resource: Assessing spatial and temporal dynamics. by Sarah J Teck, Julio Lorda, Nick T Shears, Tal Ben-Horin, Rebecca E Toseland, Sarah T Rathbone, Dave Rudie, Steven D Gaines

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The clinical utility and safety of biomarker-guided immunosuppression withdrawal in liver transplantation: the LIFT prospective RCT by Julien Vionnet, Rosa Miquel, Juan G Abraldes, Juan-Jose Lozano, Pablo Ruiz, Miquel Navasa, Aileen Marshall, Frederik Nevens, William Gelson, Joanna Leithead, Steven Masson, Elmar Jaeckel, Richard Taubert, Phaedra Tachtatzis, Dennis Eurich, Kenneth Simpson, Eliano Bonaccorsi-Riani, James Ferguson, Alberto Quaglia, Maria Elstad, Marc Delord, Abdel Douiri, Alberto Sánchez-Fueyo

“…A previous clinical trial showed that a logistic regression algorithm including the transcript levels of a set of five genes in a liver biopsy could predict the success of immunosuppression withdrawal with high sensitivity and specificity. …”
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Cultural Moduses of Students and Their Influence on the Formation of Life Plans by M. A. Golovchin

“…The practical significance of the research results lies in the possibility of their use within the framework of strategic design of youth and educational policies.…”
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Region Space Guided Transfer Function Design for Nonlinear Neural Network Augmented Image Visualization by Fei Yang, Xiangxu Meng, JiYing Lang, Weigang Lu, Lei Liu

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Identifying neurobiological heterogeneity in clinical high-risk psychosis: a data-driven biotyping approach using resting-state functional connectivity by Xiaochen Tang, Yanyan Wei, Jiaoyan Pang, Lihua Xu, Huiru Cui, Xu Liu, Yegang Hu, Mingliang Ju, Yingying Tang, Bin Long, Wei Liu, Min Su, Tianhong Zhang, Jijun Wang

“…Functional connectivity (FC) features that were correlated with symptom severity were subjected to the single-cell interpretation through multikernel learning (SIMLR) algorithm in order to identify latent homogeneous subgroups. …”
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Multimodal Imaging of Diabetic Retinopathy: Insights from Optical Coherence Tomography Angiography and Adaptive Optics by Andrada-Elena Mirescu, Dan George Deleanu, Sanda Jurja, Alina Popa-Cherecheanu, Florian Balta, Gerhard Garhofer, George Balta, Irina-Elena Cristescu, Ioana Teodora Tofolean

“…OCTA images of the superficial capillary plexus, acquired with the OCT Angio Topcon, were analyzed using a custom-developed MATLAB algorithm, while AO retinal vascular images were evaluated with the manufacturer’s software of the Adaptive Optics Retinal Camera rtx1™. …”
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System of operational control of psychophysiological indicators of operators of hierarchical systems in making management decisions by N. V. Pushkareva

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CALCULATION OF OBJECTS THERMAL IMAGING PARAMETERS FROM UNMANNED AERIAL VEHICLES by L. V. Katkovsky

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Transfer Kernel Extreme Learning Machine Based on Bidirectional Cross Domain Approximation by Yuanxiao Zeng, Huimin Li, Yanbing Song

“…Finally, by combining the predictions from both transfer KELMs, our model significantly boosts its robustness. …”
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Consumer Behaviour: Analysing Marketing Campaigns through Recommender Systems and Statistical Techniques

“…This approach addresses the formidable challenges of accurately predicting consumer behaviour. We provide a detailed introduction to recommendation systems, emphasizing their vital role in the modern marketing landscape. …”
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Hybrid CNN-based Recommendation System by Muhammad Alrashidi, Roliana Ibrahim, Ali Selamat

“…In order to enhance the accuracy of predictions and address the challenges posed by sparsity, the proposed model incorporates both the extracted attributes and explicit interactions between items and users. …”
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Noise correlations and neuronal diversity may limit the utility of winner-take-all readout in a pop out visual search task. by Ori Hendler, Ronen Segev, Maoz Shamir

“…The analysis identifies specific response statistics that require further empirical characterization to accurately predict WTA performance in biologically plausible models of visual pop out detection.…”
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MALDI-TOF mass spectrometry discriminates drug-susceptible and -resistant strains in Mycobacterium abscessus. by Tran Duong Thai, Nut Nithimongkolchai, Benjawan Kaewseekhao, Janejira Samarnjit, Chutipapa Sukkasem, Lumyai Wonglakorn, Auttawit Sirichoat, Arnone Nithichanon, Kiatichai Faksri

“…With the aid of machine learning, particularly the decision-tree algorithm, predictive models demonstrated excellent performance with 100% sensitivity and specificity. …”
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Modeling Lane Changes at Freeway On-Ramps With a Novel Car-Following Model Based on Desired Time Headways by Moritz Berghaus, Markus Oeser

“…The lane change model includes a leader selection algorithm, which enables merging vehicles to pass or be passed by vehicles in the main lane. …”
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3D-Printed PLA Hollow Microneedles Loaded with Chitosan Nanoparticles for Colorimetric Glucose Detection in Sweat Using Machine Learning by Anastasia Skonta, Myrto G. Bellou, Haralambos Stamatis

“…The Random Sample Consensus algorithm was used to train a simple linear regression model to predict glucose concentrations in unknown samples. …”
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