Table_3_Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points.DOCX by Yanjie Zhao (591907)

Table_5_Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points.DOCX by Yanjie Zhao (591907)

Table_2_Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points.DOCX by Yanjie Zhao (591907)

Table_6_Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points.DOCX by Yanjie Zhao (591907)

Table_4_Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points.DOCX by Yanjie Zhao (591907)

Table_1_Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points.DOCX by Yanjie Zhao (591907)

Subsystem coverage and category distribution of strain SMC-9 based on the RAST annotation results. by SooHo Yu (20370686)

Image 1_Assessment of microstructural abnormalities in gray and white matter of minimal hepatic encephalopathy patients using diffusion kurtosis imaging and their associations with... by Qing Sun (492552)

“…</p>Methods<p>Thirty-one Hepatitis B Virus-related cirrhotic patients without MHE (NMHE), thirty Hepatitis B Virus-related cirrhotic patients with MHE, and 59 gender-, age-, education-matched healthy controls underwent diffusional kurtosis imaging and neurocognitive assessments. We used tract-based spatial statistics (TBSS) analysis to estimate group differences of white matter (WM) microstructure and voxel-based morphometry analysis to determine gray matter (GM) abnormalities. …”

Inter-joint coordination at baseline and post-experimental phase. by Frédérique Dupuis (10573839)

“…Fatigue group showed a significant decrease of GH flexion initial and final positions and an increase of elbow flexion initial and final positions; total joint excursion during post-experimental phase was decreased for both joints (p < 0.05).…”

Hospitalized older adults diagnosed with UTI categorized based on symptoms & microbiology. by Samantha Lui (18784392)

At week 12, eggs were commercially classified based on egg weights. by Veerle Van Hoeck (209130)

Data_Sheet_1_Gaussian Graphical Models Reveal Inter-Modal and Inter-Regional Conditional Dependencies of Brain Alterations in Alzheimer's Disease.pdf by Martin Dyrba (417214)

Data_Sheet_2_Tract- and gray matter- based spatial statistics show white matter and gray matter microstructural differences in autistic males.DOCX by Marissa DiPiero (17051064)

“…In the current work, we utilized Tract Based Spatial Statistics (TBSS) and Gray Matter Based Spatial Statistics (GBSS) to examine the white matter (WM) and gray matter (GM) microstructure in neurotypical (NT) and autistic males.…”

Table 1_Association between white matter structural damage and cognitive impairment in patients with cerebral small vessel disease based on TBSS technology.docx by Qingqing Zheng (3067743)

“…</p>Methods<p>We retrospectively analyzed data from 54 CSVD patients, classified into a cognitive impairment group (CI, n = 25) and a non-cognitive impairment group (NCI, n = 29). Using tract-based spatial statistics (TBSS), we computed fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) across 48 major white matter tracts. …”

Trends in the use of antimuscarinics and alpha-adrenergic blockers in women with lower urinary tract symptoms in Taiwan: A nationwide, population-based study, 2007-2012 by Yu-Hua Lin (4449001)

“…</p><p>Conclusions</p><p>This 6-year observational study provided the epidemiologic information of clinically significant LUTS of Asian female population. Moreover, there was a rising trend in the use of antimuscarinics and off-label alpha-adrenergic blockers in the population-based cohort.…”

Table_1_Building a nomogram plot based on the nanopore targeted sequencing for predicting urinary tract pathogens and differentiating from colonizing bacteria.xlsx by Shengming Jiang (11998681)

“…</p>Results<p>In this study, the UPB detected by NTS accounted for 74.1% (401/541) of all urinary tract microorganisms. The distribution of ln(reads) between UPB and UCB groups showed significant difference (OR = 1.39; 95% CI, 1.246–1.551, p < 0.001); the reads number in NTS reports could be used for the preliminary determination of UPB (AUC=0.668) with corresponding cutoff values being 7.042. …”

Datasheet1_Prevalence, risk factors, psychological effects of children and adolescents with lower urinary tract symptoms: a large population-based study.pdf by Xingchen Liu (524190)

Heatmap displaying the relative abundance of the 25 most abundant bacterial taxa observed in the vaginal tracts of 70 American Indian women. by Joanna-Lynn C. Borgogna (11824718)

Simulations of Diabetic and Non-Diabetic Peripheral Nerve Myelin Lipid Bilayers by Yiding Yuan (10918675)

“…Compared to PI-lipids, PS-lipids were found to cause higher inter-lipid spacing and decreased order within membranes as a result of their smaller headgroup size and higher inter-lipid hydrogen bonding potential, which allow them to more frequently reside deeper in the membrane plane and produce pushing effects on other lipids. …”

Simulations of Diabetic and Non-Diabetic Peripheral Nerve Myelin Lipid Bilayers by Yiding Yuan (10918675)

“…Compared to PI-lipids, PS-lipids were found to cause higher inter-lipid spacing and decreased order within membranes as a result of their smaller headgroup size and higher inter-lipid hydrogen bonding potential, which allow them to more frequently reside deeper in the membrane plane and produce pushing effects on other lipids. …”