<p></p><p></p><p dir="ltr"><b>Trends in GP dispensing of thickeners in the NHS England, 2019-24</b></p> by ARLENE MCCURTIN (22819052)

“…Thickened liquids is primarily an intervention for older people although there was a significant decreasing trend in dispensed thickener items in adult populations. …”

Table 1_Changes in self-reported alcohol consumption at high and low consumption in the wake of the COVID-19 pandemic: a test of the polarization hypothesis.docx by Alexander Tran (11038679)

“…We also conducted a multivariate linear regression using mental well-being and sociodemographic variables as predictors of consumption.…”

Image 1_Association between daily variations in the levels of atmospheric O3, PM2.5, and NO2 and the frequency of hospital visits due to respiratory diseases and hypertension in Me... by Elizabeth Vega (13793101)

“…Background<p>Environmental pollution is a significant public health issue in Mexico City. Patients with respiratory or cardiovascular diseases such as asthma or hypertension often experience exacerbations triggered by environmental factors. …”

Data Sheet 1_Hypocomplementemia dynamics during tocilizumab therapy in systemic juvenile idiopathic arthritis: a retrospective longitudinal study.xlsx by Jiayun Ling (15249289)

“…At week 48, hypocomplementemia was observed in 68.42% of patients for C3 and 26.32% for C4. The mixed linear model revealed significant reductions in C3 (β = -0.058, P < 0.001), C4 (β = -0.061, P = 0.022), and sJADAS10-ESR scores (β = -0.628, P < 0.001) across all time points compared to baseline. …”

PFC neurons can encode the animal’s spatial position despite dHPC or vHPC silencing. by Susanne S. Babl (21169261)

“…<p><b>(A)</b> Schematic showing linearization of the animal’s position in the T-maze indicating the distance from the start box in cm. …”

Table 1_Association of magnesium depletion score with serum anti-aging protein Klotho in the middle-aged and older populations.docx by Zhijie Zhuang (17669958)

“…</p>Results<p>The weighted average serum Klotho concentrations decreased significantly across MDS groups (low: 864.50, middle: 805.67, high: 755.02 pg.…”

Image 1_Immunomodulatory and anti-inflammatory effects of agave fructans in atopic dermatitis: gut microbiota and short-chain fatty acid implication.tif by Marcela Rios-Carlos (22759823)

“…After AFs treatment at 0.1 g/kg, serum IgE levels were normalized to those of control animals. All AFs significantly decreased dermal mast cell and eosinophil counts, as well as epidermal thickening, with greater efficacy observed at lower doses. …”

Image 2_Immunomodulatory and anti-inflammatory effects of agave fructans in atopic dermatitis: gut microbiota and short-chain fatty acid implication.tif by Marcela Rios-Carlos (22759823)

“…After AFs treatment at 0.1 g/kg, serum IgE levels were normalized to those of control animals. All AFs significantly decreased dermal mast cell and eosinophil counts, as well as epidermal thickening, with greater efficacy observed at lower doses. …”

Supplementary Material for: Impairment of Renal Function in Hermansky-Pudlak Syndrome by Yokoyama T. (4606381)

“…Linear regression analysis showed that renal function progressively decreases with age in patients with BLOC-3 or BLOC-2 disorders, but the rate of decline was more rapid in patients with BLOC-3 disorders compared to patients with BLOC-2 disorders. …”

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. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

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. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

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. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

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. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Pattern indices of landscape levels. 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. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Table 1_Association between composite dietary antioxidant index and increased urinary albumin excretion: a population-based study.docx by Shaopeng Li (820947)

“…The prevalence of increased ACR decreased across the CDAI quartiles from 13.89% in Q1 to 10.11% in Q4. …”

Type level landscape index changes in 1990-2020. 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. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

The role of IRF-1 in mediating T-cell immune imbalance in systemic lupus erythematosus and the construction of a diagnostic model by Zichen Huang (6587885)

“…Immune analysis revealed decreased numbers of resting CD4⁺ memory T cells and Tregs (<i>P</i> < 0.01), alongside expanded proinflammatory cells (M1/M2 macrophages, neutrophils; <i>P</i> < 0.01). …”

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. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

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. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

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. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”