Interaction panel of Treat × Period effect (T × P) for eating time (min/8-h) and sorting index (%) on sieve 2.36 mm and bottom pan as influenced by feeding pasteurized waste milk (... by Shahryar Kargar (18880600)

Interaction panel of Treat × Period effect (T × P) for starter intake (g/d), body weight (kg), average daily gain (g/d), and feed efficiency (g/g) as influenced by feeding pasteuri... by Shahryar Kargar (18880600)

<b>Data for s</b><b>easonal variations in coral lipids and their significance for energy maintenance in the </b><b>South China Sea</b> by Hongyan Mo (19721569)

“…<p dir="ltr">In recent years, the intensification of global warming and extreme climate have led to an increase in the frequency and severity of coral bleaching. Coral bleaching means a decrease in symbiotic zooxanthellae density (ZD). …”

IL-10 levels in tumor lysates post-treatment. by Hedieh Zargaran (21410233)

Major hyperparameters of RF-SVR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Pseudo code for coupling model execution process. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Major hyperparameters of RF-MLPR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Results of RF algorithm screening factors. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Schematic diagram of the basic principles of SVR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Effect of <i>slc43a3</i> deletion on metabolic performance parameters in male and female WT and KO mice. by Aaron L. Sayler (19797446)

Effect of <i>slc43a3</i> deletion on the diurnal cycle of oxygen consumption (VO₂) in male and female mice. by Aaron L. Sayler (19797446)

Effect of <i>slc43a3</i> deletion on food and water consumption in male and female WT and KO mice. by Aaron L. Sayler (19797446)

Effect of <i>slc43a3</i> deletion on physical activity of male and female WT and KO mice. by Aaron L. Sayler (19797446)

Modeling results of 8-week-old female C57BL/6J mice. by Yan She (8639796)

Table 1_Dual variants of uncertain significance in a case of hyper-IgM syndrome: implications for diagnosis and management.docx by Nourhen Agrebi (14151222)

“…</p>Objective<p>This study aims to elucidate the clinical implications of concurrent AICDA and IKBKB homozygous variants in a pediatric patient diagnosed with hyper-IgM syndrome.</p>Methods<p>We present immunological and genetic analysis of a Tunisian patient with two homozygous variants of uncertain significance (VUSs) in the IKBKB and AICDA genes, suspected of causing hyper-IgM and immune deficiency. …”

RDA and pearson correlation analysis of soil bacterial communities and soil environmental factors. by Jun Sun (48981)

Image 2_Case report: Significant lesion reduction and neural structural changes following ibogaine treatments for multiple sclerosis.jpeg by David Qixiang Chen (8198265)

“…Ibogaine, a psychoactive alkaloid, has been proposed as a potential neuroregenerative agent due to its multifaceted pharmacological profile. We present two case studies of MS patients who underwent a novel ibogaine treatment, highlighting significant neuroimaging changes and clinical improvements. …”

Image 1_Case report: Significant lesion reduction and neural structural changes following ibogaine treatments for multiple sclerosis.jpeg by David Qixiang Chen (8198265)

“…Ibogaine, a psychoactive alkaloid, has been proposed as a potential neuroregenerative agent due to its multifaceted pharmacological profile. We present two case studies of MS patients who underwent a novel ibogaine treatment, highlighting significant neuroimaging changes and clinical improvements. …”

Summary of measured parameters. by Aaron L. Sayler (19797446)

“…Male KO mice also displayed a significant decrease in rearing activity and blood pressure. …”

Raw data. by Aaron L. Sayler (19797446)

“…Male KO mice also displayed a significant decrease in rearing activity and blood pressure. …”