A global comparison of social media bot and human characteristics by Lynnette Hui Xian Ng, Kathleen M. Carley

“…Bots use words in categories that match the identities they choose to present, while humans may send messages that are not obviously related to the identities they present. …”
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Postoperative fever following surgery for oral cancer: Incidence, risk factors, and the formulation of a machine learning-based predictive model by Yanling Zhang, Kun Long, Zhaojian Gong, Ruping Dai, Shuiting Zhang

“…Machine learning algorithms can be effectively used to identify potential risk factors of POF, which may enhance individualized treatment plans in oral cancer patient during perioperative period. …”
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Integrated genetic and epigenetic analysis identifies haplotype-specific methylation in the FTO type 2 diabetes and obesity susceptibility locus. by Christopher G Bell, Sarah Finer, Cecilia M Lindgren, Gareth A Wilson, Vardhman K Rakyan, Andrew E Teschendorff, Pelin Akan, Elia Stupka, Thomas A Down, Inga Prokopenko, Ian M Morison, Jonathan Mill, Ruth Pidsley, International Type 2 Diabetes 1q Consortium, Panos Deloukas, Timothy M Frayling, Andrew T Hattersley, Mark I McCarthy, Stephan Beck, Graham A Hitman

“…Recent multi-dimensional approaches to the study of complex disease have revealed powerful insights into how genetic and epigenetic factors may underlie their aetiopathogenesis. We examined genotype-epigenotype interactions in the context of Type 2 Diabetes (T2D), focussing on known regions of genomic susceptibility. …”
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Estimating whole-body centre of mass sway during quiet standing with inertial measurement units. by Liam H Foulger, Emma R Reiter, Calvin Kuo, Mark G Carpenter, Jean-Sébastien Blouin

“…Balance deficits associated with various clinical conditions may affect activities of daily living, highlighting the importance of quantifying standing balance in ecological environments. …”
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A reputation-based dynamic reorganization scheme for blockchain network sharding by Shuhui Zhang, Hanwen Tian, Lianhai Wang, Shujiang Xu, Wei Shao

“…Random node allocation may lead to uneven distribution of malicious nodes, causing performance differences and security risks. …”
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A deep learning software tool for automated sleep staging in rats via single channel EEG by Andrew Smith, Snezana Milosavljevic, Courtney J. Wright, Charlie A. Grant, Ana Pocivavsek, Homayoun Valafar

“…This tool enables high-throughput sleep studies and may accelerate research into sleep-related pathologies. …”
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A Study of NEWS Vital Signs in the Emergency Department for Predicting Short- and Medium-Term Mortality Using Decision Tree Analysis by Serena Sibilio, Gianni Turcato, Bastiaan Van Grootven, Marta Ziller, Francesco Brigo, Arian Zaboli

“…Decision tree analysis (CHAID algorithm) was used to identify predictors of mortality; 10-fold cross-validation was applied to avoid overfitting. …”
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Bioinformatics Analysis of Oxidative Stress-Related Genes and Immune Infiltration Patterns in Vitiligo by Yang M, Wang H, Zhang R

“…These findings enhance our understanding of vitiligo and may aid in identifying therapeutic targets for the disease. …”
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Examining and classifying reasons for missing viral loads among adults living with HIV: An extended outcome investigation and ascertainment approach in Western Kenya. by Harriet Fridah Adhiambo, Jayne Lewis-Kulzer, Edwin Nyagesoa, Sarah Gimbel, Eliud Akama, Dorothy Mangale, Lina Montonya, Ingrid Eshun-Wilson, Sarah Iguna, Everlyne Nyandieka, Elizabeth Bukusi, Lisa Abuogi, Thomas Odeny, Maya L Petersen, Elvin H Geng

“…Instances of missed VL despite being indicated per Kenyan guidelines were identified. An algorithm for assessing root causes of missing HIV RNA was developed and generalized linear models estimated the risk ratios (RR) for participant-level characteristics associated with missed viral load. …”
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Deep Learning Unravels Differences Between Kinematic and Kinetic Gait Cycle Time Series from Two Control Samples of Healthy Children Assessed in Two Different Gait Laboratories by Alfonso de Gorostegui, Damien Kiernan, Juan-Andrés Martín-Gonzalo, Javier López-López, Irene Pulido-Valdeolivas, Estrella Rausell, Massimiliano Zanin, David Gómez-Andrés

“…To address the inter-laboratory differences, we explored various pre-processing methods and time series properties that may have been detected by the algorithm. We found that the standardization of the time series values was a successful approach to decrease the ability of the model to distinguish between the two centers. …”
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GNGT1 is a potential prognostic and immunologic biomarker in gastric cancer by Xuchong Huang, Juan Lin, Jian Wang, Weifeng Yang, Wenquan Ou, Xing Huang, Jiahua Chen, Zixing Zhang, Xiaohua Wu

“…Subsequent investigations revealed substantial negative correlations between GNGT1 and tumour mutational burden(TMB), microsatellite instability(MSI), immune cell infiltration, immune cell gene marker expression and immunological checkpoint expression in patients with STAD.GNGT1 is a reliable biomarker in patients with GC that also has an immunomodulatory function in this disease and may accelerate GC development by suppressing the infiltration of T cells, dendritic cells, M1 macrophages and B cells.…”
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Pure data correction enhancing remote sensing image classification with a lightweight ensemble model by Huaxiang Song, Hanglu Xie, Yingying Duan, Xinyi Xie, Fang Gan, Wei Wang, Jinling Liu

“…Furthermore, we propose a straightforward algorithm to generate an ensemble network composed of two components, serving as the proposed lightweight classifier. …”
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Rapid Damage Assessment and Bayesian-Based Debris Prediction for Building Clusters Against Earthquakes by Xiaowei Zheng, Yaozu Hou, Jie Cheng, Shuai Xu, Wenming Wang

“…In the whole service life of building clusters, they will encounter multiple hazards, including the disaster chain of earthquakes and building debris. The falling debris may block the post-earthquake roads and even severely affect the evacuation, emergency, and recovery operations. …”
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Optimizing the Migratory Environment of Wildebeests in the Maasai Mara Reserve with a New Ecological Corridor and Customized Buffer Zone Model by Xinrui Fan, Kuok Ho Daniel Tang, Shoushuo Liu, Yang Liu, Charles Ken Smith

“…We then used a K-means algorithm (R² = 0.926) to fit coordinates representing the changes in the location of the wildebeests to enable a quantitative representation of their migration routes. …”
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Prakriti elucidates the inter-individual variability in coronary artery disease risk-predicting biomarkers: A tertiary care hospital-based case control study by Pamila Dua, Bhavana Prasher, Sandeep Seth, Shivam Pandey, Subir Kumar Maulik, K.H. Reeta

“…Conclusion: Though, several biochemical parameters were associated with risks for CAD, Prakriti classification provided more insights into the precise risks. This dual approach may help in guiding personalized treatment options in CAD management.…”
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Advancing Leaf Nutritional Characterization of Blueberry Varieties Adapted to Warm Climates Enhanced by Proximal Sensing by Sérgio H. G. Silva, Marcelo C. Berardo, Lucas R. Rosado, Renata Andrade, Anita F. S. Teixeira, Mariene H. Duarte, Fernanda A. Bócoli, Marco A. C. Carneiro, Nilton Curi

“…However, references for foliar nutritional content are lacking in the literature. Proximal sensing may enhance nutritional characterization to optimize blueberry production. …”
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Machine Learning Based Early Diagnosis of ADHD with SHAP Value Interpretation: A Retrospective Observational Study by Zhang X, Xiao X, Luo Y, Xiao W, Cao Y, Chang Y, Wu D, Xu H, Zhao J, Deng X, Jiang Y, Xie R, Liu Y

“…Feature selection and model construction were performed using various machine learning algorithms.Results: Our results indicated that the Gradient Boosting Machine algorithm is the optimal model.Conclusion: Our machine learning analyses suggest that the Gradient Boosting Machine (GBM) model may be the optimal choice, highlighting blood beta-2 microglobulin levels, red blood cell distribution width, 25-dihydroxyvitamin D3, and the percentage of eosinophils as key predictors of ADHD risk, thereby aiding early diagnosis. …”
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Cloud Survivability Scenarios Under Attacks With and Without Countermeasures by Rachid Beghdad, Faiza Benmenzer, Alaa Eddine Khalfoune

“…However, the latter greatly enhances cloud security, although their performance may decrease dramatically under extreme conditions. …”
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Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework by Shaik Khasim Saheb, B. Narayanan, T.V. Narayana Rao

“…Results: The model utilizes the Exact Greedy Algorithm to classify the spread and impact of the virus in different regions. …”
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Bimekizumab: The First FDA-Approved Dual IL-17A/IL-17F Inhibitor for Plaque Psoriasis – A Comprehensive Literature Review by Al Alshaikh SA, Almarhoon ZM, Momattin H, Aleid M, Almousa ZH, Alqaisum AK, Mobarki FI, Almakki SA, Alturfi H, Almajed KJ

“…According to recent data, neutralizing IL-17A and − 17F together may be more effective than neutralizing IL-17A alone in treating psoriasis. …”
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