General characteristics of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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Difference in drinking, smoking, and suicidal ideation by year. by Jae Yeon Jeong (11979030)

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Drinking Behaviors of the female participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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Comparison of the changes in HR (A), SBP (B), DP (C), and SpO2 (D) during maximal exercise test among the three oxygen conditions. by Kazufumi Hisamoto (21416905)

Surgical changes through ISIW implantation. by Sayaka Kimura-Uchida (22793666)

Results of the LMM analysis for IOP change. by Sayaka Kimura-Uchida (22793666)

“…LMM analysis showed significant coefficients for IOP change in relation to postoperative days and preoperative IOP, and for GMS change in relation to postoperative days, β blockers (BB), and Rho kinase inhibitors (ROCK inhibitors). …”

Results of the LMM analysis for GMS change. by Sayaka Kimura-Uchida (22793666)

“…LMM analysis showed significant coefficients for IOP change in relation to postoperative days and preoperative IOP, and for GMS change in relation to postoperative days, β blockers (BB), and Rho kinase inhibitors (ROCK inhibitors). …”

Influencing factors of APCA. by Wenping Ning (19871091)

“…Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”

Temporal trends in APCA. by Wenping Ning (19871091)

“…Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”

Traditional Markov transfer probability matrices. by Wenping Ning (19871091)

“…Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”

Spatial Markov transfer probability matrix. by Wenping Ning (19871091)

“…Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”

Three-dimensional kernel density of APCA. by Wenping Ning (19871091)

“…Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”

Evogliptin attenuates the pyroptotic cell death of VSMCs during CER treatment by decreasing the pyroptotic-associated genes and GSDM-D cleavage efficiency <i>in-vitro.</i> by Razia Rashid Rahil (22772495)

Primer sequences for RT-qPCR. by Wenlong Shen (9313937)

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siRNA sequences and negative controls sequences. by Wenlong Shen (9313937)

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Antibodies used in the study. by Wenlong Shen (9313937)

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

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Sexual maturity status of female C57BL/6J Mice at different ages. by Yan She (8639796)

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Presents the bibliometric search results. by Yan She (8639796)

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Flow chart of data screening and analysis. by Yan She (8639796)

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