Compaction curve. by Fang Zheng (54278)

“…At the end of the freeze-thaw cycle (FTC), the deformation of the saline soil increased with the decrease of the cold end temperature, and the alternating time between heat and cold did not produce significant changes in the deformation of the saline soil. …”

Tracheostomy data. by Rajesh Kamath (17179960)

“…Data were analyzed using Mann–Whitney U and Chi-square tests; significance at p < 0.05.. The study involved a comparison of the duration of mechanical ventilation, ICU LOS, VAP rates and extubation trials between patients who underwent ET and LT.…”

Flow diagram of patient selection. by Rajesh Kamath (17179960)

“…Data were analyzed using Mann–Whitney U and Chi-square tests; significance at p < 0.05.. The study involved a comparison of the duration of mechanical ventilation, ICU LOS, VAP rates and extubation trials between patients who underwent ET and LT.…”

Overview of results. by Sara Ershadmanesh (16436667)

“…MB behavior was boosted under propranolol, but was not significantly influenced by L-DOPA. Although the meta-control in propranolol condition was highly variable, it was significantly higher in L-DOPA relative to placebo condition.…”

S1 Data - by Mohammed Seid Ali (15353892)

“…In multilevel logistic analysis (model III), the significant factors associated with formula feeding were the age of the mothers; 25–34 years (AOR = 1.3; 95% CI (1.2–1.41)), 35–49 years (AOR = 1.4; 95% CI (1.22–1.54)), multiple children (AOR = 1.4; 95% CI (1.23–1.77)), maternal educational status; secondary and higher (AOR = 2.4; 95% CI (2.11–2.66)), mother’s employment status; (AOR = 1.24; 95% CI (1.14–1.5));, richer households (AOR = 1.2; 95% CI (1.10–1.36)), place of delivery (AOR = 2.1; 95% CI (1.83–2.44)), household media exposure (AOR = 1.5; 95% CI (1.3–1.68))place of residence (AOR = 1.97; 95% CI (1.79–2.17)), community illiteracy level (AOR = 1.17; 95% CI (1.02–1.34)), and community media exposure (AOR = 1.2; 95% CI (1.03–1.38)).…”

Participants’ characteristics (N = 498). by Yousef Aljawarneh (17889151)

“…<div><p>Background</p><p>Healthcare Workers (HCWs) frequently face high levels of occupational stress, job dissatisfaction, and burnout due to the demanding nature of their work. …”

Detection of GalNAc receptors in amniotic tissue-Galectin-3. by Lu Wang (45927)

Microhardness vs. depth diagram of sample No. 6 ( by Van-Thuc Nguyen (19469762)

“…These phases’ diversity results from their rapid heating and cooling rates as well as the significant variations in cooling rates among depths. …”

Position of each slice of anthracite. by Danan Zhao (20861666)

“…<div><p>The study of the adsorption characteristics of coal is of great significance to gas prevention and CO₂ geological storage. …”

Minimal data set. by Danan Zhao (20861666)

“…<div><p>The study of the adsorption characteristics of coal is of great significance to gas prevention and CO₂ geological storage. …”

Schematic of the experiment apparatus. by Danan Zhao (20861666)

“…<div><p>The study of the adsorption characteristics of coal is of great significance to gas prevention and CO₂ geological storage. …”

(T)GCATG clusters are embedded in sequences binding the LASR. by Francesco Tomassoni-Ardori (22216521)

Physicochemical properties of CO₂, CH₄ and N₂. by Danan Zhao (20861666)

“…<div><p>The study of the adsorption characteristics of coal is of great significance to gas prevention and CO₂ geological storage. …”

Land use intensity classes standard. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Land use transfer matrix 1990-2020 (km²). by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Study area habitat quality LISA clustering map. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Spato-temporal changes in land use types. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Location map of the study area. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Data source. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Research Technology Flow Chart. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”