Chromatin accessibility analysis of perinatal Vps34-deficient Tregs. by Erienne G. Norton (9612079)

“…AP-1-related transcription factors with predicted decreased activity are labeled. …”

Graphs showing the qPCR data from SD, ED, HFD and SDG larvae at 7 dpf (n = 6 for each). by Jessica C. M. Hui (20370522)

Vps34 orchestrates transcriptional and epigenetic remodeling events corresponding to terminal eTreg differentiation during perinatal life. by Erienne G. Norton (9612079)

“…AP-1-related transcription factors with predicted decreased activity are labeled. …”

FAT1 and MIB2 control tumor growth <i>in vivo.</i> by Rui Li (4631)

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. …”

CiLV-C p29 acts as an RNA-binding protein and interacts with eukaryotic initiation factor 4A (eIF4A). by Mikhail Oliveira Leastro (5736329)

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

Factor associated with neonatal mortality. by Sujan Kumar Naha (20577028)

“…Targeted interventions addressing these factors have the potential to efficiently decrease neonatal mortality rates and improve overall maternal and child health.…”

(a) The impact of changing the epoch at which the proximity factor for infection clusters is activated on the validation infection coverage and <i>F</i>₁ measure. by Ibrahim Almakky (22530341)

ASIR prediction from 2020 to 2030 by sex. by Majed M. Ramadan (22379116)

Pre- & post awareness session scores. by Stavia Turyahabwe (9925935)

“…TB treatment adherence rates among TB patients using VOT was significantly better (<i>p</i><0.01) than those using DOTS.…”

VOT vs DOTS TB treatment adherence rates. by Stavia Turyahabwe (9925935)

“…TB treatment adherence rates among TB patients using VOT was significantly better (<i>p</i><0.01) than those using DOTS.…”

Sample size and duration of the pilot study. by Stavia Turyahabwe (9925935)

“…TB treatment adherence rates among TB patients using VOT was significantly better (<i>p</i><0.01) than those using DOTS.…”

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. …”

Influencing factor index system. by Yunxia Zhang (30848)

“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”

Allometric of beds number allometric types and their changes in YRD Cities, 2009–2022. by Deng Jing (20614820)

Allometric of doctors, number of allometric types and their changes in YRD Cities, 2009–2022. by Deng Jing (20614820)

Single factor detection results. by Tingting Cui (564531)

“…The factors within the Park attributes (G1) and the park’s social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. …”

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. …”