The Causal Role of Esophageal Cancer and Gut Microbiota: A Bidirectional Mendelian Randomization Study by Wei Su MD, Han Chen MD, Die Hu MD, Bixing Ye MD, PhD, Weifeng Zhang MD, Guoxin Zhang MD, PhD, Xinmin Si MD, PhD, Xiaoying Zhou MD, PhD

“…A bidirectional Mendelian randomization (MR) analysis was conducted using the inverse-variance weighted (IVW) method. …”
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Treatment of uterine fibroid: focus on endometrial receptivity. A pilot randomized prospective study by Yulia E. Dobrokhotova, Irina A. Lapina, Valeriia M. Gomzikova, Yury А. Sorokin, Eleonora T. Khatagova, Ayshan R. Allakhverdieva, Mariya A. Olkhovskaya

“…Materials and methods. A pilot randomized prospective study was conducted, which included 45 patients of reproductive age with UF sized less than 12 obstetric weeks, mostly intramural localization (types 3–6 according to the International Federation of Gynecology and Obstetrics). …”
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A Randomized Clinical Study of a Curcumin and Melatonin Toothpaste Against Periodontal Bacteria by Riccardo Pulcini, Antonio Maria Chiarelli, Bruna Sinjari, Jessica Elisabetta Esposito, Francesco Avolio, Riccardo Martinotti, Vittorio Pignatelli, Luca Pignatelli, Laura Berlincioni, Stefano Martinotti, Elena Toniato

“…<b>Results:</b> The samples from the gingival tasks were taken at time 0 and after 8 weeks of toothpaste treatment. …”
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Does creatine cause hair loss? A 12-week randomized controlled trial by Mohammadyasin Lak, Scott C. Forbes, Damoon Ashtary-Larky, Sahar Dadkhahfar, Reza Mahmoud Robati, Farshid Nezakati, Makan Khajevandi, Sara Naseri, Arvin Gerafiani, Neda Haghighat, Jose Antonio, Grant M. Tinsley

“…Participants maintained their habitual diets and training routines. Blood samples were collected at baseline and after 12 weeks to measure total testosterone, free testosterone, and DHT. …”
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Primary prevention of cardiotoxicity in cancer patients treated with fluoropyrimidines: a randomized controlled trial by Johanne D. Lyhne, Vibeke B. Hansen, Lone D. Vestergaard, Susanne E. Hosbond, Martin Busk, Mayooran Gnanaganesh, Else Maae, Birgitte M. Havelund, Torben F. Hansen, Signe Timm, Lars H. Jensen, Mads D. Lyhne

“…All patients had CAC score obtained by cardiac CT scan. Patients were randomized to pre-chemotherapeutic cardiological management or standard care. …”
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The effect of pegbovigrastim on circulating neutrophil count in dairy cattle: A randomized controlled trial. by Sabrina J Van Schyndel, Jérôme Carrier, Osvaldo Bogado Pascottini, Stephen J LeBlanc

“…Cows were sampled at d -7, d -6, d 0, d +1, d +7, and d +21, relative to calving. …”
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Assessing the causal effect of inflammation‐related genes on myocarditis: A Mendelian randomization study by Huazhen Xiao, Hongkui Chen, Wenjia Liang, Yucheng Liu, Kaiyang Lin, Yansong Guo

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How random is social behaviour? Disentangling social complexity through the study of a wild house mouse population. by Nicolas Perony, Claudio J Tessone, Barbara König, Frank Schweitzer

“…Our findings underline the potential importance of random factors in the apparent complexity of the mice's social structure. …”
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Inferring Water Quality in the Songhua River Basin Using Random Forest Regression Based on Satellite Imagery and Geoinformation by Zhanqiang Yu, Hangnan Yu, Lan Li, Jiangtao Yu, Jie Yu, Xinyue Gao

“…Traditional water quality monitoring requires substantial financial investment, whereas the remote sensing and random forest model not only reduces operational costs but also achieves a paradigm shift from discrete sampling points to spatially continuous surveillance. …”
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Enhanced logistic map with infinite chaos and its applicability in lightweight and high-speed pseudo-random bit generation by Mir Nazish, Munika Javid, M. Tariq Banday

“…The performance of the proposed map has been comprehensively evaluated using various chaos dynamical tests, including the bifurcation diagram, Lyapunov exponent, cobweb plots, 2D and 3D phase plots, approximate entropy, and sample entropy, time sensitivity analysis, and the 0–1 test. …”
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ANALISIS JENIS BUDIDAYA TEBU MENGGUNAKAN ALGORITMA RANDOM FOREST (STUDI KASUS KECAMATAN TAJINAN, KABUPATEN MALANG) by Muhammad Nurhadi, Prima Widayani, Sandy Budi Wibowo

“…The difference between the classification results and the field data shows that the imbalance in the number of samples and spectral similarity between classes are the main challenges in mapping sugarcane cultivation. …”
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Accuracy of attribute estimation in the crossed random effects linear logistic test model: impact of Q-matrix misspecification by Yi-Hsin Chen, Isaac Y. Li, Chunhua Cao, Yan Wang

“…In addition, the impact of the interactions of Q-matrix misspecification with other manipulated factors, such as population distribution, sample size, and Q-matrix density, on parameter estimation is also investigated. …”
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Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network by Ziqiang Huo, Meng Xi, Jingyi He, Zhengjian Li, Jiabao Wen

“…However, due to the limitation of measurement cost and complex terrain, the collected DEMs often have randomly missing undersampled points and low sampling density. …”
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Leveraging Random Forests explainability for predictive modeling of children's conduct problems: insights from individual and family factors by Estrella Romero, Jaime González-González, María Álvarez-Voces, Enrique Costa-Montenegro, Beatriz Díaz-Vázquez, Andrea Busto-Castiñeira, Paula Villar, Laura López-Romero

“…The sample was drawn from the ELISA study, and consisted of 1,352 children assessed twice within a 1-year frame. …”
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Genetic Analysis of Prunus salicina L. by Random Amplified Polymorphic DNA (RAPD) and Intersimple Sequence Repeat (ISSR) by Jun Li, Guangchun Gao, Bin Li, Bai Li, Qihua Lu

“…The genetic variations of these samples were characterized by the random amplified polymorphic DNA (RAPD) and intersimple sequence repeat (ISSR) technique, respectively, and in combination. …”
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Topologically inferring active miRNA‐mediated subpathways toward precise cancer classification by directed random walk by Ziyu Ning, Chenchen Feng, Chao Song, Wei Liu, Desi Shang, Meng Li, Qiuyu Wang, Jianmei Zhao, Yuejuan Liu, Jiaxin Chen, Xiaoyang Yu, Jian Zhang, Chunquan Li

“…In this study, we collected 4775 samples from 12 different cancer datasets, which contained 4636 TCGA samples and 139 GEO samples. …”
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Estimates for the elastic moduli of 2D aggregate of hexagonal-shape orthorhombic crystals with in-plane random crystalline orientations by Vuong Thi My Hanh, Le Hoai Chau, Vu Lam Dong, Pham Duc Chinh

“… Numerical finite element simulations on the homogenization problem for large samples of particular 2D hexagonal-shape-geometry random orientation aggregates from the base crystals of orthorhombic symmetry have been performed. …”
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Random forest-based bioavailable strontium isoscape for environmental and archaeological applications in central eastern Argentina and western Uruguay. by Cinzia Scaggion, Tommaso Giovanardi, Daniel Loponte, Mirian Carbonera, Elena Armaroli, Sara Bernardini, Stefano Benazzi, Andrés Gascue, Alejandro Acosta, Giulia Marciani, Eugenio Bortolini, Anna Cipriani, Federico Lugli

“…Here, we present a new bioavailable Sr dataset of 113 environmental samples, including plants and malacological samples collected from center-east Argentina (Paraná Delta, Pampa and Entre Ríos plains) as well as adjacent Uruguay, covering an area of approximately 122,500 km2. …”
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AI-guided framework for the design of materials and devices for magnetic-tunnel-junction-based true random number generators by Karan P. Patel, Andrew Maicke, Jared Arzate, Jaesuk Kwon, J. Darby Smith, James B. Aimone, Jean Anne C. Incorvia, Suma G. Cardwell, Catherine D. Schuman

“…Our artificial-intelligence-guided codesign methods generated different candidate devices capable of generating stochastic samples for a desired probability distribution, while also minimizing energy usage for the devices. …”
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Fuzzy Random Prediction Model of Frost Heave Characteristics of Horizontal Frozen Metro Contact Channel in Coastal Area by Yao Yafeng, Zhang Zhemei, Wang Wei, Li Yongheng, Li Siqi, Wei Chenguang

“…In addition, due to the comprehensive influence of freezing temperature, natural water content, dry density, and tidal flow peak value, the frost heave characteristics of different soil samples are evidently uncertain. With the aim of improving the deficiency of traditional BP neural network algorithms in solving fuzzy random engineering problems, random factor and mean square error between layers are used to modify the evaluation function of the network model. …”
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