Effect of the POM cycles on selected metabolites. by Bonnie A. McNeil (22331601)

Pan-cancer analysis reveals PRRT4 is a potential prognostic factor of AML by Wenqiong Xiang (17738962)

“…Based on this, we examined the expression of PRRT4 in our previously included leukemia clinical samples, and the results of univariate and multivariate analysis showed that PRRT4 was an independent prognostic factor in leukemia patients. After PRRT4 knockdown, the proliferation ability of THP1 cells was significantly enhanced, and the apoptosis ratio was significantly decreased.…”

Participants diagram of the study. by Nirmal Gautam (10031682)

“…<div><p>Background</p><p>Obesity among children and adolescents is a significant public health concern, influenced by a complex interplay of biological and behavioral factors. …”

RICTOR regulates UGCG expression via transcription factor Zinc Finger X-linked (ZFX). by Mohammad Nafees Ansari (22232505)

“…<p><b>(A)</b> A schematic diagram showing the workflow to identify RICTOR-regulated transcription factors that bind to the UGCG promoter. <b>(B)</b> Results from qRT-PCR (mean ± SEM, <i>n</i> = 3) confirm reduced expression of RICTOR-regulated <i>ELF1</i>, <i>ZFX</i>, and <i>CTCF</i> transcription factors in MCF-7_RICTOR^SH cells. …”

Data Sheet 1_Enhanced computerized cognitive remediation therapy improved cognitive function, negative symptoms, and GDNF in male long-term inpatients with schizophrenia.zip by Peiyun Zhang (4484194)

“…This study aimed to explore the efficacy of computerized cognitive remediation therapy (CCRT) on psychiatric symptoms, cognitive deficits, and serum levels of brain-derived neurotrophic factor (BDNF) and glial cell line-derived neurotrophic factor (GDNF) in patients with schizophrenia.…”

It only gets worse … or does it? The relationship between pain duration and psychological pain factors by Cory Alcon (22551286)

Parameters of VMR separated by light or dark periods run at 6 dpf. by Morgan Barnes (7876373)

Frequency of underweight among different age groups of women (15–49 years) in the 2019 SLDHS. by Nelson Onira Alema (12394528)

Visual motor response assay at 28 dpf. by Morgan Barnes (7876373)

Overview of lipid detection by widely targeted lipidomics. by Min Feng (141118)

Mendelian randomization analysis revealed that albuminuria is the key factor affecting socioeconomic status in CKD patients by Jianbo Qing (12864269)

“…In the multivariable MR analysis, both CKD (OR = 0.867, 95% CI: 0.786–0.957, <i>p</i> = 0.0045) and eGFR (OR = 0.065, 95% CI: 0.010–0.437, <i>p</i> = 0.0049) exhibited significant effects on income. This study underscores that higher albuminuria levels in CKD patients are associated with decreased income and emphasizes the importance of effective management and treatment of albuminuria in CKD patients to mitigate both social and personal economic burdens.…”

Long-term global trends and influencing factors of surface urban cool and heat islands by Ruihan Qiu (21344292)

“…Key findings include: (1) SUCIs are more common in winter but most significant in summer, with daytime SUCIs transitioning to nighttime SUHIs; (2) SUHI cities show a ΔT increase of 0.153°C per decade (<i>P</i> < 0.01), while SUCI cities show a decrease of −0.102°C per decade (<i>P</i> < 0.01); (3) HURS is the dominant climatic driver, with PR and RSDS more influential in summer, and TAS being crucial in winter. …”

Cellular glycans analysis by lectin array. by Yanling Yang (427399)

Gene expression of neurotransmitter pathways at 6 dp. by Morgan Barnes (7876373)

Genetic and structural factors contributing to the dominance and persistence of goose astrovirus type 2 by Peng Jiang (16544)

“…<p>Goose astrovirus (GoAstV) has emerged as a significant pathogen affecting the goose industry in China, with GoAstV-2 becoming the dominant genotype since 2017. …”

Contribution of individual models to the ensemble performance on the Lazzarotto <i>et al</i>. (2020) GUIDE-seq dataset. by Kai Kimata (22608153)

Spatial econometric model estimation results. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Regression coefficients of production function. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Production function regression ridge trace. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Model test results. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”