Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Skin marks is the S1 Fig title. by Mercedes Soto-González (20422078)

The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

“…<p>Using the invasion model, we investigate the effect of switching on and off (black vs grey) invasions with mutualisms halfway through the simulation (i.e. after 500 assembly events). …”

The significant decrease in GLT-1 levels observed in the nucleus accumbens of rats that had consumed morphine for fifty-six days was completely reversed by the co-administration of... by María Elena Quintanilla (8068691)

Data Sheet 1_Empagliflozin’s cardioenergetic protective effects through PPARα pathway modulation in heart failure.pdf by Hua Wei (60877)

“…Post-treatment, MRGlu and glucose uptake decreased markedly in the empagliflozin (EMPG) group, while no significant changes were observed in the fenofibrate (FF) group. …”

Deep Proteome Profiling of Rat Dorsal Striatal Synaptoneurosomes Following Methamphetamine Exposure by Laura G. Rodriguez (21352716)

“…This approach enabled identification of ∼6100 cytosolic and membrane proteins from ∼500 ng of SN proteome digestrepresenting the most comprehensive DS SN proteome reported to date. …”

Paeameter ranges and optimal values. by Zhen Zhao (159931)

“…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

Improved random forest algorithm. by Zhen Zhao (159931)

“…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

Datasets used in the study area. by Zhen Zhao (159931)

“…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

Evaluation of the improved random forest model. by Zhen Zhao (159931)

“…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

K-means++ clustering algorithm. by Zhen Zhao (159931)

“…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

Comparison of model metrics. by Zhen Zhao (159931)

“…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

Flowchart of population spatialization. by Zhen Zhao (159931)

“…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

Supplementary Material for: Comprehensive Genetic Analysis Exploring Sedentary Lifestyle, Physical Activity, and Respiratory Diseases: A Bidirectional Mendelian Randomization with... by Wan W. (4013744)

Participant and lab results flow. by Gad Murenzi (6243719)

“…</p><p>Results</p><p>Women included in this analysis (N = 4,880) had a mean age of 40 years, > 98% were on antiretroviral therapy, and 61% had a CD4 count of ≥500 cells/µL. High-risk HPV prevalence was 25.5% [95% confidence interval (CI)=24.3%−26.8%] and the prevalence decreased with older ages and higher CD4 counts (p_trend<0.001 for both). …”

Discovery of an Orally Active PDE1 Inhibitor for Disease-Modifying Treatment of Postmenopausal Osteoporosis via Dual Anabolic-Antiresorptive Mechanisms by Farman M. Abbasi (22318766)

“…Postmenopausal osteoporosis (PMO) is characterized by an imbalance in bone remodeling with increased osteoclast and decreased osteoblast activity, leading to bone loss and higher fracture risk. …”

Discovery of an Orally Active PDE1 Inhibitor for Disease-Modifying Treatment of Postmenopausal Osteoporosis via Dual Anabolic-Antiresorptive Mechanisms by Farman M. Abbasi (22318766)

“…Postmenopausal osteoporosis (PMO) is characterized by an imbalance in bone remodeling with increased osteoclast and decreased osteoblast activity, leading to bone loss and higher fracture risk. …”

Discovery of an Orally Active PDE1 Inhibitor for Disease-Modifying Treatment of Postmenopausal Osteoporosis via Dual Anabolic-Antiresorptive Mechanisms by Farman M. Abbasi (22318766)

“…Postmenopausal osteoporosis (PMO) is characterized by an imbalance in bone remodeling with increased osteoclast and decreased osteoblast activity, leading to bone loss and higher fracture risk. …”

Changes in bioimpedance by sex. by Domingos L. S. Rios (20496173)

“…The patients underwent a very low-calorie diet (500–800 kCal/day) and immersive changes in lifestyle habits, monitored by a multidisciplinary team. …”