A Mindfulness-Based Lifestyle Intervention for Dementia Risk Reduction: Protocol for the My Healthy Brain Feasibility Randomized Controlled Trial by Ryan A Mace, Makenna E Law, Joshua E Cohen, Christine S Ritchie, Olivia I Okereke, Bettina B Hoeppner, Judson A Brewer, Stephen J Bartels, Ana-Maria Vranceanu

“…ConclusionsThe RCT will inform the development of a larger efficacy RCT (NIH stage 2) of MHB versus the HEP in a more diverse sample of older adults, testing mechanisms of improvements through theoretically driven mediators and moderators. …”
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Genetic associations of adult height with risk of cardioembolic and other subtypes of ischemic stroke: A mendelian randomization study in multiple ancestries. by Andrew B Linden, Robert Clarke, Imen Hammami, Jemma C Hopewell, Yu Guo, William N Whiteley, Kuang Lin, Iain Turnbull, Yiping Chen, Canqing Yu, Jun Lv, Alison Offer, Derrick Bennett, Robin G Walters, Liming Li, Zhengming Chen, Sarah Parish, China Kadoorie Biobank Collaborative Group

“…<h4>Background</h4>Taller adult height is associated with lower risks of ischemic heart disease in mendelian randomization (MR) studies, but little is known about the causal relevance of height for different subtypes of ischemic stroke. …”
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Effects of curcumin on serum inflammatory biomarkers in patients with knee osteoarthritis: a systematic review and meta-analysis of randomized controlled trials by Han-Chien Hsueh, Guan-Ru Ho, Shiang I. Tzeng, Kai-Hsiang Liang, Yi-Shiung Horng

“…The studies were conducted across seven countries, and their sample sizes ranged from 24 to160. Meta-analysis revealed that the levels of CRP (SMD = -0.906, 95% CI = -1.543 ~ -0.269, P value = 0.005) and TNF-alpha (SMD = -0.921, 95% CI = -1.817 ~ -0.026, P value = 0.044) were significantly lower in the curcumin group than in the placebo group. …”
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Genetically Predicted Frailty Index Is Associated With Increased Risk of Multiple Metabolic Diseases: 175 226 European Participants in a Mendelian Randomization Study by Hexing Wang, Haifeng Zhang, Dongliang Tang, Yinshuang Yao, Junlan Qiu, Xiaochen Shu

“…Methods We performed a bidirectional two‐sample Mendelian randomization (MR) study. A recent large‐scale genome‐wide association study (GWAS) provided available data associated with FI, and summary statistics on eight MDs were collected from the IEU OpenGWAS database. …”
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Effect of triple therapy on mortality and cardiovascular risk in patients with moderate to severe COPD: a meta-analysis of randomized controlled trials by Yubing Li, Jun Li, Hongxia Yang, Yong Zhang

“…Non-BGF triple therapies yielded inconclusive results due to limited sample sizes and substantial heterogeneity (I²=62–83%, subgroup difference p < 0.05). …”
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The ReHand-BCI trial: a randomized controlled trial of a brain-computer interface for upper extremity stroke neurorehabilitation by Jessica Cantillo-Negrete, Martín Emiliano Rodríguez-García, Martín Emiliano Rodríguez-García, Paul Carrillo-Mora, Oscar Arias-Carrión, Oscar Arias-Carrión, Emmanuel Ortega-Robles, Emmanuel Ortega-Robles, Marlene A. Galicia-Alvarado, Raquel Valdés-Cristerna, Ana G. Ramirez-Nava, Claudia Hernandez-Arenas, Jimena Quinzaños-Fresnedo, Ma. del Refugio Pacheco-Gallegos, Norma Marín-Arriaga, Ruben I. Carino-Escobar

“…BackgroundBrain-computer interfaces (BCI) are a promising complementary therapy for stroke rehabilitation due to the close-loop feedback that can be provided with these systems, but more evidence is needed regarding their clinical and neuroplasticity effects.MethodsA randomized controlled trial was performed using the ReHand-BCI system that provides feedback with a robotic hand orthosis. …”
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Neurotrophin-3 as a mediator in the link between PM2.5 exposure and psychiatric disorders: A Mendelian randomization study by Yuan Zhang, Wei Wang, Xuening Zhang, Ran Jing, Xin Wen, Peng Xiao, Xinjie Liu, Zengle Zhao, Tongmin Chang, Yufei Li, Wen Liu, Chenxi Sun, Xiaorong Yang, Lejin Yang, Ming Lu

“…Methods: We used genome-wide association study datasets from the UK Biobank and Psychiatric Genomics Consortium to systematically investigate the causal relationship between PM2.5 and nine common psychiatric disorders using two-sample Mendelian randomization (TSMR) methods. Subsequently, we used two-step MR to investigate the mediating effect of 108 potential mediators in the association between PM2.5 and mental disorders. …”
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Mediators of the association between allergic diseases and bronchiectasis: A bi-directional univariable and multivariable Mendelian randomization study and mediation analysis by Ping-An Zhang, MD, Jie-Lin Wang, MD, Shi-Yan Fu, BD, Hua-Lian Luo, BD, Run-Dong Qin, PhD, Jing Li, MD

“…Using bi-directional two-sample Mendelian Randomization (TSMR), we explored causal relationships between allergic diseases and bronchiectasis and validated these findings in a replication cohort. …”
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Cooperative Spectrum Sensing Algorithm Based on Double Eigenvalue Limiting Distribution by Zhijin zhao, Weikang Hu, Haiquan Wang

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Dihydroartemisinin-piperaquine for intermittent preventive treatment of malaria during pregnancy and risk of malaria in early childhood: A randomized controlled trial. by Prasanna Jagannathan, Abel Kakuru, Jaffer Okiring, Mary K Muhindo, Paul Natureeba, Miriam Nakalembe, Bishop Opira, Peter Olwoch, Felistas Nankya, Isaac Ssewanyana, Kevin Tetteh, Chris Drakeley, James Beeson, Linda Reiling, Tamara D Clark, Isabel Rodriguez-Barraquer, Bryan Greenhouse, Erika Wallender, Francesca Aweeka, Mary Prahl, Edwin D Charlebois, Margaret E Feeney, Diane V Havlir, Moses R Kamya, Grant Dorsey

“…There were no significant sex-specific differences in PQ levels among children whose mothers were randomized to IPTp-SP8w or IPTp-DP8w. The main limitations were small sample size and childhood provision of DP every 12 weeks in infancy.…”
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Biodiversity indices and Random Forests reveal the potential for striped skunk (Mephitis mephitis) fecal microbial communities to function as a biomarker for oral rabies vaccinatio... by Matthew W Hopken, Darby Gilfillan, Amy T Gilbert, Antoinette J Piaggio, Mikaela Samsel Hilton, James Pierce, Bruce Kimball, Zaid Abdo

“…The phyla Firmicutes and Proteobacteria were dominant among all samples. Using Random Forests, we identified operational taxonomic units (OTUs) that greatly influenced classification of fecal samples into treatment groups. …”
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Adaptive Remaining Capacity Estimator of Lithium-Ion Battery Using Genetic Algorithm-Tuned Random Forest Regressor Under Dynamic Thermal and Operational Environments by Uzair Khan, Mohd Tariq, Arif I. Sarwat

“…The optimization of critical parameters, namely, the number of estimators (n-estimators) and the minimum number of samples per leaf (min-samples-leaf), is a focal point of this study to enhance model accuracy and robustness. …”
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An Enhanced Tree Ensemble for Classification in the Presence of Extreme Class Imbalance by Samir K. Safi, Sheema Gul

“…The efficacy of the proposed method is assessed using twenty benchmark problems for binary classification with moderate to extreme class imbalance, comparing it against other well-known methods such as optimal tree ensemble (OTE), SMOTE random forest (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>R</mi><mi>F</mi></mrow><mrow><mi>S</mi><mi>M</mi><mi>O</mi><mi>T</mi><mi>E</mi></mrow></msub></mrow></semantics></math></inline-formula>), oversampling random forest (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi mathvariant="normal">R</mi><mi mathvariant="normal">F</mi></mrow><mrow><mi mathvariant="normal">O</mi><mi mathvariant="normal">S</mi></mrow></msub></mrow></semantics></math></inline-formula>), under-sampling random forest (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi mathvariant="normal">R</mi><mi mathvariant="normal">F</mi></mrow><mrow><mi mathvariant="normal">U</mi><mi mathvariant="normal">S</mi></mrow></msub></mrow></semantics></math></inline-formula>), k-nearest neighbor (k-NN), support vector machine (SVM), tree, and artificial neural network (ANN). …”
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A Robust Enhanced Ensemble Learning Method for Breast Cancer Data Diagnosis on Imbalanced Data by Zhenzhen Wang, Junde Xie, Jia Zhang

“…Specifically, a double-level over-sampling technology is developed to increase the diversity of synthesized minority breast cancer samples before model training, and an improved Random Forest is proposed to reconcile the bias and variance. …”
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Determining The Effect of Some Mechanical Properties on Color Maturity of Tomato With K-Star, Random Forest and Decision Tree (C4.5) Classification Algorithms by Hande Küçükönder, Kubilay Kazım Vursavuş, Fatih Üçkardeş

“…In the present study, a total of 88 tomato samples were used, and color measurements for each tomato in 4 different equatorial regions were performed and a total of 352 color measurement units were used. …”
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Predictive Analytics for Thyroid Cancer Recurrence: A Machine Learning Approach by Elizabeth Clark, Samantha Price, Theresa Lucena, Bailey Haberlein, Abdullah Wahbeh, Raed Seetan

“…We evaluated the ML models using Synthetic Minority Over-Sampling Technique (SMOTE) and with hyperparameter tuning. …”
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Diversity and Distribution of Myrmecophytes in Bengkulu Province by Safniyeti Safniyeti, Sulistijorini Sulistijorini, Tatik Chikmawati

“…This study used purposive sampling method by exploring the area where Myrmecophytes commonly found. …”
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Enhancing Crop Type Mapping in Data-Scarce Regions Through Transfer Learning: A Case Study of the Hexi Corridor by Jingjing Mai, Qisheng Feng, Shuai Fu, Ruijing Wang, Shuhui Zhang, Ruoqi Zhang, Tiangang Liang

“…Reliable ground truth samples form the foundation for crop mapping using remote sensing imagery, a task that presents significant challenges in regions with limited sample availability. …”
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An Efficient Method for Generating a Super-Sized and Heterogeneous Pore-Throat Network Model of Rock by Chunlei Yu, Wenbin Chen, Junjian Li, Shuoliang Wang

“…This study examines algorithms for super-sized pore-throat network reconstruction using actual core sample data. It conducts a random simulation of mineral growth and dissolution under the constraints of four microscopic pore structure parameters: porosity, coordination number, pore radius, and throat radius. …”
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The H/C Molar Ratio and Its Potential Pitfalls for Determining Biochar's Permanence by Henrik I. Petersen, Hamed Sanei

“…To ensure a more comprehensive assessment, the H/C molar ratio should be combined with the random reflectance (Ro) method, which provides spatially resolved insights into the degree of carbonization within a biochar sample. …”
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