Data Sheet 1_Development of a rapid fiber-detection system using artificial intelligence in phase-contrast microscope images of actual atmospheric samples.pdf by Yukiko Iida (21596408)

“…Additionally, since the counting process relies on visual fiber counting, analytical accuracy can be decreased due to factors such as analyst fatigue. Ambient air samples or air samples collected near demolition sites were observed and acquired using a phase contrast microscope. …”

DataSheet1_Causal effect of immune cells, metabolites, cathepsins, and vitamin therapy in diabetic retinopathy: a Mendelian randomization and cross-sectional study.zip by Huijun Zhou (60485)

“…Cross-sectional data indicated that vitamins B1, B2, B6, B12, and E progressively decreased with DR severity.</p>Conclusion<p>This study is the first to identify CAT H as a key risk factor for DR, while vitamins B6 and E showed significant protective effects, particularly against PDR. …”

DataSheet1_Causal effect of immune cells, metabolites, cathepsins, and vitamin therapy in diabetic retinopathy: a Mendelian randomization and cross-sectional study.zip by Huijun Zhou (60485)

“…Cross-sectional data indicated that vitamins B1, B2, B6, B12, and E progressively decreased with DR severity.</p>Conclusion<p>This study is the first to identify CAT H as a key risk factor for DR, while vitamins B6 and E showed significant protective effects, particularly against PDR. …”

DataSheet1_Integration of smart charging of large-scale electric vehicles into generation and storage expansion planning: a case study in south china.pdf by Lei You (542435)

“…This GSEP model is applied to a provincial power system in south China. The numerical results show that the implementation of smart charging can significantly alter the decisions of GSEP. …”

Individual Conditional Expectation (ICE) plot showing the predicted probability of BMI across age, sex and self-awareness. by Probir Kumar Ghosh (6947282)

Data Sheet 1_Diverging trends in the global burden of ischemic heart disease attributable to non-optimal temperatures: a historical analysis (1990–2021) and 2050 projections.csv by Zehao Jin (11408687)

“…Significant socioeconomic disparities were observed, with low-to-middle SDI regions bearing a disproportionate share (75.0%) of the global high non-optimal temperature-related mortality burden. …”

Dataset figure data. by Haiyong Wu (12857013)

“…The influence of load and operating mileage on the thickness of lubricating oil film is not significant. The oil storage rate gradually decreases with the operating mileage increases. …”

Dataset experiment data. by Haiyong Wu (12857013)

“…The influence of load and operating mileage on the thickness of lubricating oil film is not significant. The oil storage rate gradually decreases with the operating mileage increases. …”

Dataset image analysis data. by Haiyong Wu (12857013)

“…The influence of load and operating mileage on the thickness of lubricating oil film is not significant. The oil storage rate gradually decreases with the operating mileage increases. …”

Production and metabolic processes for dimethylarginine. by Afeefa Zainab (20141773)

Data Sheet 1_A peptide mimic of SOCS1 modulates equine peripheral immune cells in vitro and ocular effector functions in vivo: implications for recurrent uveitis.pdf by Lauren Stewart Stafford (17937497)

“…</p>Results<p>Following SOCS1-KIR pretreatment, cell proliferation significantly decreased in control, but not ERU-derived PBMCs. …”

Image 2_A natural PCID2-Targeting compound suppresses hepatocellular carcinoma progression: evidence from structure-based discovery and biological evaluation.jpeg by Zebanuer Yuemaierjiang (22702064)

“…</p>Results<p>β-PGG was identified as a promising PCID2-targeting compound by molecular docking, and SPR confirmed its direct binding to PCID2. β-PGG significantly reduced HCC cell proliferation, migration, and invasion, while inducing apoptosis and cell cycle arrest. …”

Image 1_A natural PCID2-Targeting compound suppresses hepatocellular carcinoma progression: evidence from structure-based discovery and biological evaluation.png by Zebanuer Yuemaierjiang (22702064)

“…</p>Results<p>β-PGG was identified as a promising PCID2-targeting compound by molecular docking, and SPR confirmed its direct binding to PCID2. β-PGG significantly reduced HCC cell proliferation, migration, and invasion, while inducing apoptosis and cell cycle arrest. …”

Table_1_Clinical pharmacist interventions in nutrition-and drug-related problems in critically ill patients with renal dysfunction: a non-randomized controlled study.DOCX by Betül Özgan (19945353)

“…Clinical pharmacists (CPs) play a crucial role in mitigating these issues and improving outcomes.…”

Basic parameters of backfill material. by Lei Zhu (16642)

“…The results indicate that: (1) The manifestation of mining pressure in gangue backfill mining is influenced by factors such as mining height and backfill collapse ratio; (2) Under the support of coal gangue, the concentrated stress in the coal seam significantly decreases, forming an arched shape according to the mining stages; (3) The range of plastic failure in the coal seam remains relatively stable under gangue backfill mining, with the plastic zone of the roof plate exhibiting a strip-like distribution; (4) Both range analysis and variance analysis revealed that the sensitivity ranking is backfill collapse ratio > mining height > elastic modulus. …”

Analysis data. by Lei Zhu (16642)

“…The results indicate that: (1) The manifestation of mining pressure in gangue backfill mining is influenced by factors such as mining height and backfill collapse ratio; (2) Under the support of coal gangue, the concentrated stress in the coal seam significantly decreases, forming an arched shape according to the mining stages; (3) The range of plastic failure in the coal seam remains relatively stable under gangue backfill mining, with the plastic zone of the roof plate exhibiting a strip-like distribution; (4) Both range analysis and variance analysis revealed that the sensitivity ranking is backfill collapse ratio > mining height > elastic modulus. …”

Basic mechanical parameters of rocks. by Lei Zhu (16642)

“…The results indicate that: (1) The manifestation of mining pressure in gangue backfill mining is influenced by factors such as mining height and backfill collapse ratio; (2) Under the support of coal gangue, the concentrated stress in the coal seam significantly decreases, forming an arched shape according to the mining stages; (3) The range of plastic failure in the coal seam remains relatively stable under gangue backfill mining, with the plastic zone of the roof plate exhibiting a strip-like distribution; (4) Both range analysis and variance analysis revealed that the sensitivity ranking is backfill collapse ratio > mining height > elastic modulus. …”

Range analysis data. by Lei Zhu (16642)

“…The results indicate that: (1) The manifestation of mining pressure in gangue backfill mining is influenced by factors such as mining height and backfill collapse ratio; (2) Under the support of coal gangue, the concentrated stress in the coal seam significantly decreases, forming an arched shape according to the mining stages; (3) The range of plastic failure in the coal seam remains relatively stable under gangue backfill mining, with the plastic zone of the roof plate exhibiting a strip-like distribution; (4) Both range analysis and variance analysis revealed that the sensitivity ranking is backfill collapse ratio > mining height > elastic modulus. …”

Peak stress of orthogonal experimental group. by Lei Zhu (16642)

“…The results indicate that: (1) The manifestation of mining pressure in gangue backfill mining is influenced by factors such as mining height and backfill collapse ratio; (2) Under the support of coal gangue, the concentrated stress in the coal seam significantly decreases, forming an arched shape according to the mining stages; (3) The range of plastic failure in the coal seam remains relatively stable under gangue backfill mining, with the plastic zone of the roof plate exhibiting a strip-like distribution; (4) Both range analysis and variance analysis revealed that the sensitivity ranking is backfill collapse ratio > mining height > elastic modulus. …”

Orthogonal test results diagram. by Lei Zhu (16642)

“…The results indicate that: (1) The manifestation of mining pressure in gangue backfill mining is influenced by factors such as mining height and backfill collapse ratio; (2) Under the support of coal gangue, the concentrated stress in the coal seam significantly decreases, forming an arched shape according to the mining stages; (3) The range of plastic failure in the coal seam remains relatively stable under gangue backfill mining, with the plastic zone of the roof plate exhibiting a strip-like distribution; (4) Both range analysis and variance analysis revealed that the sensitivity ranking is backfill collapse ratio > mining height > elastic modulus. …”