Evaluating the pharmacokinetics and safety of blonanserin tablets and Lonasen®: a randomized, open-label, two-period, two-sequence, self-crossover phase I clinical trial by Bo Qiu, Bo Qiu, Haojing Song, Haojing Song, Xue Sun, Xue Sun, Congyang Ding, Congyang Ding, Runxuan Du, Wanjun Bai, Wanjun Bai, Zhanjun Dong, Zhanjun Dong

“…Eligible healthy individuals received a single 4-mg dose of either the test or reference blonanserin tablet, followed by a wash out period of 14 days. Serial blood samples were collected for up to 72 h after administration during each period, and the plasma concentrations of blonanserin were determined using a validated method. …”
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Effect of decreasing respiratory rate on the mechanical power of ventilation and lung injury biomarkers: a randomized cross-over clinical study in COVID-19 ARDS patients by L. Felipe Damiani, Roque Basoalto, Vanessa Oviedo, Leyla Alegria, Dagoberto Soto, M. Consuelo Bachmann, Yorschua Jalil, Cesar Santis, David Carpio, Rodrigo Ulloa, Daniel Valenzuela, Magdalena Vera, Marcus J. Schultz, Jaime Retamal, Alejandro Bruhn, Guillermo Bugedo

“…Respiratory mechanics and hemodynamics were assessed at the end of each period, and blood samples were drawn for measurements of inflammatory cytokines, epithelial and endothelial lung injury markers. …”
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The effects of a brand-specific, hemp-derived cannabidiol product on physiological, biochemical, and psychometric outcomes in healthy adults: a double-blind, randomized clinical tr... by Gianna F. Mastrofini, Bridget A. McFadden, Alexa J. Chandler, Blaine S. Lints, Harry P. Cintineo, Nathaniel D. Rhoades, Caroline S. Vincenty, Sten O. Stray-Gundersen, Abbi D. Lane, Shawn M. Arent

“…Chronic pain among participants was calculated using urine samples according to the foundational pain index (FPI). …”
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Effectiveness of an mHealth- and School-Based Health Education Program for Salt Reduction (EduSaltS) in China: Cluster Randomized Controlled Trial Within Scale-Up by Naibo Wang, Chen Wang, Puhong Zhang, Yinghua Li, Feng J He, Li Li, Yuan Li, Rong Luo, Dezhi Wan, Lewei Xu, Lifang Deng, Lei Wu

“…One third-grade class per school and 26 students per class were randomly sampled. One parent, or alternative family member (aged 18-75 years, residing with the student), of each student was invited to join. …”
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A randomized controlled trial to study the effect of supplemental premilking stimulation on milking performance, teat tissue condition, udder health, and well-being in dairy cows by A. Singh, M.E. Spellman, H. Somula, J.A. Valdevieso, R. Palme, M. Wieland

“…Milking machine-induced short-term (swelling at teat base, firmness at teat end, and teat discoloration) and long-term (teat-end callosity) changes to the teat tissue were assessed manually and visually. Composite milk samples were analyzed for SCC. Cow hind-leg activity was assessed with 3-dimensional accelerometers. …”
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Associations Among Depressive and Anxious Symptoms, Fear of Missing Out, and Problematic Smartphone Use Severity Among Chinese Adolescents: A Three-Wave Random-Intercept Cross-Lagg... by Yuan GF, Liu C, Shi W, Ding X

“…Guangzhe Frank Yuan,1 Caimeng Liu,1 Wei Shi,2 Xu Ding3 1School of Education Science, Leshan Normal University, Leshan, People’s Republic of China; 2Institute for Disaster Management and Reconstruction (IDMR), Sichuan University, Chengdu, People’s Republic of China; 3School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, People’s Republic of ChinaCorrespondence: Xu Ding, School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, People’s Republic of China, Email dingxu331@163.comPurpose: Previous research has documented that problematic smartphone use (PSU) is associated with various psychological symptoms among adolescents, but temporal ordering and underlying mechanisms remain unclear.Patients and Methods: This three-wave longitudinal study examined bidirectional relationships among depressive and anxious symptoms, fear of missing out (FOMO), and PSU in a sample of 402 Chinese adolescents (49.6% girls; Mage = 12.33, SD = 0.52) assessed at six-month intervals (ie, T1, T2, and T3).Results: The random-intercept cross-lagged panel modelling (RI-CLPM) results indicated a bidirectional relationship between FOMO and PSU, with each predicting subsequent increases in the other. …”
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Effect of empowerment strategies on quality of life, perceived stress, activities of daily living and sleep quality among woman with perimenopausal symptoms: A randomized controlle... by Soumya Kar, Pravati Tripathy, Madhusmita Nayak, Subhasmita Behera

“…The sample consisted of 70 (35 in each group) perimenopausal women in Tapoban community, Bhubaneswar. …”
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USE OF TRIANGULAR MODELS OF NON-STATIONARY PROCESSES IN MODELING VARIABILITY OF HEART RHYTHM by Olena Akhiiezer, Olha Dunaievska, Mykhailo Shyshkin, Olha Butova, Anton Rohovyi

“…Methods of mathematical statistics, simulation modeling, theory of random processes and control theory are used in this work. …”
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Detection of viral contamination in cell lines using ViralCellDetector by Rama Shankar, Shreya Paithankar, Suchir Gupta, Bin Chen, Bin Chen, Bin Chen

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Research on 3D printing concrete mechanical properties prediction model based on machine learning by Yonghong Zhang, Suping Cui, Bohao Yang, Xinxin Wang, Tao Liu

“…We have successfully created machine learning models that can predict compressive strength and flexural strength by combining experimental data from a variety of 3D printed concrete samples and carefully preparing the data. Our study explores the fundamentals and practicality of several models, such as artificial neural networks, decision trees, random forests, support vector regression, and linear regression. …”
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A Multi-Architecture Approach for Offensive Language Identification Combining Classical Natural Language Processing and BERT-Variant Models by Ashok Yadav, Farrukh Aslam Khan, Vrijendra Singh

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Phenology-Based Maize and Soybean Yield Potential Prediction Using Machine Learning and Sentinel-2 Imagery Time-Series by Dorijan Radočaj, Ivan Plaščak, Mladen Jurišić

“…Ground truth yield data were provided by the Quantile Loss Domain Adversarial Neural Network (QDANN) database, with 1000 samples randomly selected per year from 2019 to 2022 for Iowa and Illinois. …”
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Dry eye-related tear biomarkers MMP-2, MMP-13, and IFN-γ: potential predictors of Type III acute acquired concomitant esotropia by Yijun Lin, Shumin Tang, Wei Wei, Weidong Zheng, Libin Huang

“…Logistic regression analyses identified risk factors, and a random forest classifier evaluated predictive performance. …”
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Mapping of Monodominant <i>Gilbertiodendron dewevrei</i> Forest Across the Western Congo Basin Using Sentinel-2 Imagery by Ellen Heimpel, David J. Harris, Josérald Mamboueni, David Morgan, Crickette Sanz, Antje Ahrends

“…The overall accuracy of our classification was 83% when evaluated against an independently sampled reference test dataset, successfully distinguishing this monodominant forest from the spectrally similar <i>terre firme</i> mixed forest present throughout much of the study area. …”
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Assessing the causal effects of type 2 diabetes and obesity-related traits on COVID-19 severity by Jieun Seo, Gaeun Kim, Seunghwan Park, Aeyeon Lee, Liming Liang, Taesung Park, Wonil Chung

“…To address potential bias from sample overlap, we conducted large-scale simulations comparing MR results from overlapping and independent samples. …”
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Digital mapping of soil organic carbon in the hilly and mountainous landscape of Indian Himalayan region employing machine-learning techniques by Justin George Kalambukattu, Suresh Kumar, Bappa Das, Trisha Roy

“…The present study tried to overcome this challenge and mapping of SOC was done at a resolution of 30 m by integrating various machine learning (ML) techniques i.e. random forest regression (RF), support vector regression (SVR) and extreme gradient boosting (XGB).Surface soil samples were strategically collected from 421 georeferenced locations representing the dominant elevation zones, geology and land use land cover (LULC) types to develop spatial models for predicting SOC. …”
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Application of machine learning and neural network models based on experimental evaluation of dissimilar resistance spot-welded joints between grade 2 titanium alloy and AISI 304 s... by Marwan T. Mezher, Alejandro Pereira, Rusul Ahmed Shakir, Tomasz Trzepieciński

“…Therefore, the ML and artificial neural network (ANN) models were trained using real data collected from 100 experimental RSW samples conducted under different RSW process parameters. …”
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Genetic evidence identifies a causal relationship between EBV infection and multiple myeloma risk by Jian Li, Rong Tan, Bing Yang, Changpu Du, Jie Tian, Zhu Yang, Dongxin Tang

“…Reverse MR analysis indicated no causal effect of MM on EBV-related antibodies. A two-sample MR analysis involving 731 immune cell phenotypes identified 27 potential mediating cell types. …”
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Blood metabolites as mediators in erectile dysfunction: insights from a multi-center proteomics and genetic study by Junhao Chen, Junxian Zhao, Zhi Zhang, Xingcheng Zhu, Jieming Zuo, Zuqing Nie, Yuanzhi Fu, Haifeng Wang, Mengjun Tang, Shi Fu

“…A large-scale two-sample MR analysis, including coloc colocalization analysis and SMR (Summary data-based Mendelian Randomization) analysis, was conducted to evaluate the reliability of proteomic effects on ED outcomes. …”
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Effects of Twelve Weeks of Virtual Square Stepping Exercises on Quality of Life, Satisfaction with the Life, Mental Health, and Cognitive Function in Women with Fibromyalgia: A Ran... by Ángel Denche-Zamorano, Damián Pereira-Payo, Javier De Los Ríos-Calonge, Pablo Tomás-Carús, Daniel Collado-Mateo, José Carmelo Adsuar

“…More research with a larger sample size is needed to confirm the effects and applicability of VSEE in women with FM.…”
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