Comparison of mental health-related services utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

Subjects:

Trend of all service utilization for all conditions between 2016 and 2022. by Fernanda Talarico (807333)

Subjects:

Contains R code utilized in the analyses. by Arttu Autio-Kimura (20454681)

Subjects:

Sex-based differences for combinations of brain regions and cell types, based on Mann-Whitney U-test. by Arttu Autio-Kimura (20454681)

Subjects:

Bootstrapped spearman correlations from a randomly selected subset of male sample donor originating samples (n = 493). by Arttu Autio-Kimura (20454681)

Subjects:

Box plots for subsets of female originating samples, displaying the distributions of the proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

Subjects:

Box plots for subsets of male originating samples, displaying the distributions of the proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

Subjects:

Box plot displaying the distributions of the deconvolution derived proportions of cell types. by Arttu Autio-Kimura (20454681)

Subjects:

Spearman correlation of age with proportions of cell types in men, for each brain region. by Arttu Autio-Kimura (20454681)

Subjects:

Image1_Association between mental health and male fertility: depression, rather than anxiety, is linked to decreased semen quality.tif by Yi Zhang (9093)

“…</p>Results<p>Status of depression was negatively associated with semen quality parameters, whereas no statistically significant association was recognized between anxiety and semen quality except that sperm concentration was decreased by 25.60 (95% CI, 1.226 to 49.965, P=0.040) ×10⁶/ml in moderate to severe anxiety group referring to normal group. …”

Multiple linear regression analysis results. by Muxi Chen (9294270)

Subjects:

STL Linear Combination Forecast Graph. by Xiangjuan Liu (618000)

“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …”

Linear trends of the weekly total cost and cost components per capita for inpatients in the surgical group. by Chenxuan Zhu (22622476)

Subjects:

Distribution of different ingredients at the same IDDSI level (Percentage and frequency) and statistical significance analysis (Chi-square test)^b'*'. by Muxi Chen (9294270)

Subjects:

Characteristics of HACE respondents by year. by David Henderson (4612354)

Subjects:

Graphical presentation of % decrease for insulin from baseline at different conditions. by Nathan Mubiru (21627195)

Comparative analysis of δ¹³C and δ¹⁵N isotopes in camelid bone and fiber using Generalized Linear and Linear Mixed Effects Models. by Sarah J. Noe (19846136)

Subjects:

Linear discriminant analysis (LDA) for effect size (LEfSe) analysis of endophytic bacterial communities associated with <i>Synsepalum dulcificum</i> among the three phenotypic grou... by Rabiath F. R. Adigoun (14189090)

Subjects:

HFD decreases ITM and alters metabolic homeostasis. by Tong Yue (6033305)

“…Two-way ANOVA, n.s., not significant, ** p < 0.01). <b>(F)</b> Long-term memory (LTM) was significantly decreased in the HFD group. …”

Shuffling identity decreases behavior trajectory uniqueness. by Catalin Mitelut (5587493)