Genotoxic Mechanisms of Erythrophleum suaveolens Stem Bark Extracts and Fractions in MCF-7 Breast Cancer Cells via Mitochondrial and Non-Mitochondrial Pathways by Lateef Sulaimon (21706283)

“…After 72 hours, ESSB-treated MCF-7 cells showed a significant (p < 0.05) increase in DNA fragmentation and comet tail DNA percentages (flavonoids induced a 1.21-fold increase in comet tail length). …”

Image2_Predicting candidate miRNAs for targeting begomovirus to induce sequence-specific gene silencing in chilli plants.jpeg by Vineeta Pandey (10043698)

“…Chilli cultivars infected with begomovirus have suffered significant decreases in biomass output, negatively impacting their economic characteristics. …”

Image3_Predicting candidate miRNAs for targeting begomovirus to induce sequence-specific gene silencing in chilli plants.jpeg by Vineeta Pandey (10043698)

“…Chilli cultivars infected with begomovirus have suffered significant decreases in biomass output, negatively impacting their economic characteristics. …”

Impacts of winter climate change on northern forest understory carbon dioxide exchange determined by reindeer grazing by Noora Kantola (14263490)

“…</p><p dir="ltr"><u>Snow depth</u></p><p dir="ltr">Snow depth was measured and mean snow depth for each plot was calculated approximately once a week and always immediately after snow treatments at the boreal site, and 1–2 times a month and always before snow treatments at the subarctic site. …”

Supplementary data.xlsx by Danjun Li (21443051)

Lomie district map. by Arnauld Efon-Ekangouo (15295634)

“…Poor hand hygiene (OR: 2.24, 95% IC: 1.4–3.4, <i>p-value</i> = 0.0002) and the use of river as a source of drinking water (OR: 14.8, 95% IC: 6.9–33.3, <i>p-value</i> = 0.0001) were the main risk factors associated with the STH infection in Lomie Health District.…”

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. …”

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. …”

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. …”

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. …”

Simultaneous Determination of the Bioavailable Fraction of Eight Elements in Soil Using an Automated Extraction Device and Inductively Coupled Plasma - Optical Emission Spectrometr... by Yigang Ma (22124655)

“…Compared with manual methods, the relative standard deviation (RSD) of element detection has been significantly reduced, with values decreasing from 2.01%–23.5% to 1.54%–9.69%. …”

Data Sheet 2_Dendritic cells in the human vaginal mucosa can direct CD4+ T cell responses by expressing surface OX40L.pdf by HyeMee Joo (175770)

“…Neutralizing OX40L with anti-OX40L antibody significantly decreased the frequency of Th2-type CD4⁺ T cells with a reduction of CD4⁺ T cell proliferation, while increasing the frequency of IL - 10-producing CD4⁺ T cell responses. …”

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%). …”

Supplementary Material for: Efficacy and safety of transdermal medical cannabis (THC:CBD: CBN formula) to treat painful diabetic peripheral neuropathy of the lower extremities by Seevathee K. (20196534)

Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis by weiwei zheng (11880230)

“…Obvious histopathological differences were detected in resistant and susceptible individuals in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing was performed to characterize the changes in intestinal microbial community, in which Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. RNA-seq analysis indicated that 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than 310 in the resistant group, when compared to the control group. …”