Fig 5 - by Maryann S. Watson (16879881)

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Species counts per catch for all fyke catches across sites and seasons. by Maryann S. Watson (16879881)

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Fig 2 - by Maryann S. Watson (16879881)

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Species and numbers of individuals caught on reef-cages and in reference traps. by Maryann S. Watson (16879881)

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Fig 1 - by Maryann S. Watson (16879881)

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ERI Thresholds Between Adjacent Zones. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Location of the study area. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Random Forest structure with cross-validation. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Land use change from 1990 to 2020. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Geographic data. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Classification accuracy. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Supplementary file 2_Immune indicators as predictors of cancer-related fatigue: a risk prediction model in pan-cancer patients.docx by Guixin He (2547469)

“…</p>Results<p>Analysis results showed that multivariate logistic regression identified increasing age, increased absolute counts (AC) of CD4+CD38−T cells, and decreased AC of CD4+CD28−T cells as independent risk factors for CRF (P < 0.05). …”

Supplementary file 1_Immune indicators as predictors of cancer-related fatigue: a risk prediction model in pan-cancer patients.docx by Guixin He (2547469)

“…</p>Results<p>Analysis results showed that multivariate logistic regression identified increasing age, increased absolute counts (AC) of CD4+CD38−T cells, and decreased AC of CD4+CD28−T cells as independent risk factors for CRF (P < 0.05). …”

Trend components extracted from the X11 process for various types of viral hepatitis in Zhejiang Province from 2004 to 2023. by Ming Xue (591840)

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Changes in AL (A) and SE (B) according to the treatment time estimation curve in patients given 0.125% atropine. by Zi-Rong Chen (9227618)

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The characteristics of 52 studies included in the systematic review and meta-analysis. by Alemneh Mekuriaw Liyew (9216921)

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Anthelmintics Derived from the Kinase Inhibitor SGI-1776 for the Treatment of Gastrointestinal Worm Infections by Mostafa A. Elfawal (22430138)

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Percentage inhibition of hemolysis by 6-shogaol-rich ginger extract (0–200 µg/mL) and ascorbic acid (AA; 100 µg/mL) in red blood cells obtained from thalassemia patients (A) and he... by Hataichanok Chuljerm (19144293)

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Forest plot of the scaling exponent of hepatitis incidence from 2004 to 2023 (a. forest plot of hepatitis A; b. forest plot of hepatitis B; c. forest plot of hepatitis C; d. forest... by Ming Xue (591840)

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HPLC chromatogram of standard 6-gingerol (0.2 mg/mL) (a), 6-shogaol (0.2 mg/mL) (b), ginger extract obtained by conventional maceration (c), and ginger extract obtained by pulsed e... by Hataichanok Chuljerm (19144293)

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