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. …”

FLAC3D code. 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. …”

Establishment of Numerical Model. 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. …”

Table1_Variation of leaf shape with tree size: a case study using Camptotheca acuminata Decne.xlsx by Ke He (331344)

“…Three leaf-shape indices were measured for each leaf, viz. the width to length ratio (W/L), a leaf roundness index which indicates the extent to which the leaf shape approaches a circular leaf, and the centroid ratio, defined as l/L, where l is the distance from the leaf base to the point on the leaf length axis where the leaf width is a maximum. …”

Urbanization and climate jointly shape the composition of plant life forms by Zhiwen Gao (19941582)

“…Rising temperatures led to a monotonic decrease in the proportion of perennial herbs and an increase in woody plants. …”

Additional within-case comparison information. by Ryan J. Treves (13527735)

“…Our case study highlights how policy design and implementation fidelity — how closely a policy is carried out as originally intended — shape regulatory effectiveness and equity, with lessons for regulators and researchers across policy domains.…”

POTW sample summary. by Ryan J. Treves (13527735)

“…Our case study highlights how policy design and implementation fidelity — how closely a policy is carried out as originally intended — shape regulatory effectiveness and equity, with lessons for regulators and researchers across policy domains.…”

Shape rescue in the midface phenotype in the Dp(16)1Yey/ <i>Ripply3</i>^<i>tm1b</i> compound mutant. by José Tomás Ahumada Saavedra (22290934)

“…<p>(A) Shape difference matrix based on Dp(16)1Yey vs Dp(16)1Yey/ <i><i>Ripply3</i></i>^<i>tm1b</i> comparison. …”

Assembly error angle of a single spline. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Data Sheet 1_Host identity, more than elevation, shapes bee microbiomes along a tropical elevation gradient.pdf by Andrea Pinos (22268176)

<b>Seasonal Hydrology and Projected Landscape Changes Jointly Shape Future Water Quality in a Typical Watershed of the Three Gorges Reservoir Area</b> by Xiaojun Zhao (22390147)

Magnetic Fields Generated by Directed Ionic Flow by Lin Wang (11986)

“…Furthermore, it increases with the number of effective coils and decreases with larger conduit sizes, demonstrating the significant impact of conduit shape on the generated magnetic field. …”

Magnetic Fields Generated by Directed Ionic Flow by Lin Wang (11986)

“…Furthermore, it increases with the number of effective coils and decreases with larger conduit sizes, demonstrating the significant impact of conduit shape on the generated magnetic field. …”

Image 2_Hemoglobin glycation index and all-cause mortality in adults: insights from a decade-long prospective cohort study.tif by Yue-Yang Zhang (14258160)

“…</p>Core tip<p>The aim of this study was to assess the association of Hemoglobin Glycation Index(HGI) with all-cause mortality in non-type 2 diabetic patients based on a 10-year cohort study from China. After COX regression, restricted cubic spline analysis, and subgroup analyses, it was found that a significant increase or decrease in HGI adversely affected long-term survival.…”

Image 1_Hemoglobin glycation index and all-cause mortality in adults: insights from a decade-long prospective cohort study.tif by Yue-Yang Zhang (14258160)

“…</p>Core tip<p>The aim of this study was to assess the association of Hemoglobin Glycation Index(HGI) with all-cause mortality in non-type 2 diabetic patients based on a 10-year cohort study from China. After COX regression, restricted cubic spline analysis, and subgroup analyses, it was found that a significant increase or decrease in HGI adversely affected long-term survival.…”

Table 1_Association between serum albumin and severe impairment of activities of daily living in patients with stroke: a cross-sectional study.docx by Ranran Bi (20505614)

“…However, when serum albumin levels were greater than or equal to 38.0 g/L, the severe impairment of ADLs no longer decreased with rising serum albumin levels.</p>Conclusion<p>In summary, an L-shaped connection with an approximate inflection point of 38.0 g/L was found between blood albumin levels and significant ADL impairment in stroke patients. …”

Cross-sectional dependence results. by Ozlem Kutlu Furtuna (20308206)

“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”

Autocorrelation test results. by Ozlem Kutlu Furtuna (20308206)

“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”

Pesaran’s CADF test results for Model I. by Ozlem Kutlu Furtuna (20308206)

“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”