Figure 5 from Functional Profiling of p53 and RB Cell Cycle Regulatory Proficiency Suggests Mechanism-Driven Molecular Stratification in Endometrial Carcinoma by Zelei Yang (18491142)

“…For comparisons indicated by brackets over the treatment groups being compared, * = <i>P</i> < 0.05 and NS = not significant by an ordinary one-way ANOVA with Šídák’s multiple comparisons test. …”

The effect of inulin treatment on plasma untargeted metabolomic profiles in mice of diverse groups. by Ke Li (106849)

“…Color key in the heat map represents the metabolite expression value: red represents the significant increases and blue stands for the remarkable decreases. …”

Table 2_Global burden trends of tension-type headache, 1990–2021: socio-demographic patterns, age-period-cohort effects, and frontier analysis from the GBD 2021 study.docx by Can Wang (157994)

“…Contrasting trends emerged: globally and in High and High-middle SDI regions rates decreased, while Middle SDI regions showed significant increases (prevalence: +5.83%). …”

Location of the study area. 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. …”

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. …”

Supplementary Material for: Fetoscopic endoluminal tracheal occlusion in congenital diaphragmatic hernia: Unraveling the impact of prematurity and suboptimal fetal lung growth by figshare admin karger (2628495)

“…In univariate analyses, the balloon inflation duration (p=0.05), the use of extracorporeal life support (p=0.04), and the post-balloon o/e LHR (p=0.04) were associated with survival, while in a multivariable logistic regression, the change in o/e-LHR after FETO (OR=1.07, p=0.05) was the only variable found to be significantly associated with survival. …”

Image 3_Horticultural performance and QTL mapping of snap bean (Phaseolus vulgaris L.) populations with organic and conventional breeding histories.jpeg by Hayley E. P. Richardson (21383333)

“…</p>Discussion<p>This study lays the groundwork for improving snap bean germplasm for performance in organic systems by tracking the microevolutions created through long-term selection under organic or conventional management (i.e., breeding history). By understanding these shifts, plant breeders will begin to build a toolbox of genetic information that they can leverage in modern breeding work for organic crop cultivars.…”

Image 4_Horticultural performance and QTL mapping of snap bean (Phaseolus vulgaris L.) populations with organic and conventional breeding histories.jpeg by Hayley E. P. Richardson (21383333)

“…</p>Discussion<p>This study lays the groundwork for improving snap bean germplasm for performance in organic systems by tracking the microevolutions created through long-term selection under organic or conventional management (i.e., breeding history). By understanding these shifts, plant breeders will begin to build a toolbox of genetic information that they can leverage in modern breeding work for organic crop cultivars.…”

Image 2_Horticultural performance and QTL mapping of snap bean (Phaseolus vulgaris L.) populations with organic and conventional breeding histories.jpeg by Hayley E. P. Richardson (21383333)

“…</p>Discussion<p>This study lays the groundwork for improving snap bean germplasm for performance in organic systems by tracking the microevolutions created through long-term selection under organic or conventional management (i.e., breeding history). By understanding these shifts, plant breeders will begin to build a toolbox of genetic information that they can leverage in modern breeding work for organic crop cultivars.…”

Quantitative results on WEDU dataset. by Dunlu Lu (19964225)

“…The curated data and code can be accessed at the following link: <a href="https://github.com/YangxuWangamI/MAR-YOLOv9" target="_blank">https://github.com/YangxuWangamI/MAR-YOLOv9</a>.…”

Counting results on DRPD dataset. by Dunlu Lu (19964225)

“…The curated data and code can be accessed at the following link: <a href="https://github.com/YangxuWangamI/MAR-YOLOv9" target="_blank">https://github.com/YangxuWangamI/MAR-YOLOv9</a>.…”

Quantitative results on RFRB dataset. by Dunlu Lu (19964225)

“…The curated data and code can be accessed at the following link: <a href="https://github.com/YangxuWangamI/MAR-YOLOv9" target="_blank">https://github.com/YangxuWangamI/MAR-YOLOv9</a>.…”

Main module structure. by Dunlu Lu (19964225)

“…The curated data and code can be accessed at the following link: <a href="https://github.com/YangxuWangamI/MAR-YOLOv9" target="_blank">https://github.com/YangxuWangamI/MAR-YOLOv9</a>.…”

Counting results on MTDC-UAV dataset. by Dunlu Lu (19964225)

“…The curated data and code can be accessed at the following link: <a href="https://github.com/YangxuWangamI/MAR-YOLOv9" target="_blank">https://github.com/YangxuWangamI/MAR-YOLOv9</a>.…”

Quantitative results on DRPD dataset. by Dunlu Lu (19964225)

“…The curated data and code can be accessed at the following link: <a href="https://github.com/YangxuWangamI/MAR-YOLOv9" target="_blank">https://github.com/YangxuWangamI/MAR-YOLOv9</a>.…”

Architecture of MAR-YOLOv9. by Dunlu Lu (19964225)

“…The curated data and code can be accessed at the following link: <a href="https://github.com/YangxuWangamI/MAR-YOLOv9" target="_blank">https://github.com/YangxuWangamI/MAR-YOLOv9</a>.…”

Quantitative results on MTDC-UAV dataset. by Dunlu Lu (19964225)

“…The curated data and code can be accessed at the following link: <a href="https://github.com/YangxuWangamI/MAR-YOLOv9" target="_blank">https://github.com/YangxuWangamI/MAR-YOLOv9</a>.…”

Counting results on WEDU dataset. by Dunlu Lu (19964225)

“…The curated data and code can be accessed at the following link: <a href="https://github.com/YangxuWangamI/MAR-YOLOv9" target="_blank">https://github.com/YangxuWangamI/MAR-YOLOv9</a>.…”

Example images from four plant datasets. by Dunlu Lu (19964225)

“…The curated data and code can be accessed at the following link: <a href="https://github.com/YangxuWangamI/MAR-YOLOv9" target="_blank">https://github.com/YangxuWangamI/MAR-YOLOv9</a>.…”

Counting results on RFRB dataset. by Dunlu Lu (19964225)

“…The curated data and code can be accessed at the following link: <a href="https://github.com/YangxuWangamI/MAR-YOLOv9" target="_blank">https://github.com/YangxuWangamI/MAR-YOLOv9</a>.…”