Targeting of Vps34 reduces B16F10 tumor growth and working model for Vps34-dependent regulation of eTreg transitional heterogeneity and maintenance. by Erienne G. Norton (9612079)

Atg14 plays a cell-intrinsic role in orchestrating eTreg survival but not terminal differentiation. by Erienne G. Norton (9612079)

“…Jun/Fos transcription factors with predicted decreased activity in Atg14-deficient versus control eTregs are labeled. …”

Comparison of demographic features. by Yueju Cai (20978633)

“…Additionally, a decrease in birth weight was significantly linked to an increased risk of readmission (OR = 0.998, P = 0.013), although the effect size was relatively small.…”

Data. by Yueju Cai (20978633)

“…Additionally, a decrease in birth weight was significantly linked to an increased risk of readmission (OR = 0.998, P = 0.013), although the effect size was relatively small.…”

Comparison of examination test and treatment. by Yueju Cai (20978633)

“…Additionally, a decrease in birth weight was significantly linked to an increased risk of readmission (OR = 0.998, P = 0.013), although the effect size was relatively small.…”

Land-use change in Quetta from (a) 1992, (b) 2002, (c) 2013 and (d) 2022. by Naveed Ahmed (2433958)

Yield response factors of sorghum. by Beyza Ciftci (20895403)

Contribution of each risk factor to the spatial distribution of the risk of overweight or obesity in women aged between 15 and 49 years for DHS 2010 (column 1), DHS 2015−16(column... by Angelina Mageni Lutambi (22097223)

Absolute β convergence results. by Ke Liu (121889)

“…The geographic detector results showed that factors in the consumer dimension were the main reasons for population agglomeration in metropolitan areas.…”

Conditional β convergence results. by Ke Liu (121889)

“…The geographic detector results showed that factors in the consumer dimension were the main reasons for population agglomeration in metropolitan areas.…”

Markov transition probability matrix (k = 4). by Ke Liu (121889)

“…The geographic detector results showed that factors in the consumer dimension were the main reasons for population agglomeration in metropolitan areas.…”

Markov transition probability matrix (k = 4). by Ke Liu (121889)

“…The geographic detector results showed that factors in the consumer dimension were the main reasons for population agglomeration in metropolitan areas.…”

Regression results. by Ke Liu (121889)

“…The geographic detector results showed that factors in the consumer dimension were the main reasons for population agglomeration in metropolitan areas.…”

Western blotting identification of expression level of pyroptosis protein Gasdermin D (GSDMD) in IIL ESP-treated Caco-2 cells. by Qi Qi Lu (17721401)

Raw data of influencing factors. by Jie Huang (104235)

“…Spatially, the CCD demonstrates a characteristic pattern of decreasing from east to west. Overall, achieving a “cross-level transition” in CCD is challenging, and the neighboring provinces significantly influence the enhancement of local CCD. …”

Selection and description of influencing factors. by Wenqi Li (137889)

“…Further, it analyzes the factors that influence residential land prices using the MGWR model. …”

Individual cost data. by Jamal Atfeh (21212547)

“…</p><p>Conclusion</p><p>The clinical effectiveness of the iNPWT single-use portable device could not be demonstrated compared to standard dressings for prophylactic use, in terms of the incidence of wound healing complications, in patients scheduled for TAA and not selected on the basis of risk factors. However, as this strategy may bring organizational benefits and has not been associated with significant economic costs, the adoption of iNPWT in orthopedic departments could be made according to the surgeon’s clinical expertise, based for instance on the patient’s risk factors for complications.…”

Factors associated with malaria infection. by Job Oyweri (22041452)

“…Logistic regression was used to identify factors influencing net ownership and malaria prevalence, while a generalized linear model assessed factors affecting net usage. …”

Demographics of the study population. by Sohyun Park (78358)

“…OBH was a significant independent predictor of iPD, with a cutoff of 1.52 mm. …”

Table 3 - by Sohyun Park (78358)

“…OBH was a significant independent predictor of iPD, with a cutoff of 1.52 mm. …”