Mendeley Data Showcase

Mutations in UMOD, encoding uromodulin, lead to Autosomal Dominant Tubulointerstitial Kidney Disease (ADTKD), a genetic cause of kidney failure. UMOD mutations have a common gain-of-toxic-function effect, causing mutant uromodulin retention in the endoplasmic reticulum (ER). This leads to ER stress, alteration of protein homeostasis and mitochondrial dynamics, defective autophagy and increased cell death. Calorie restriction exerts a beneficial role in diseases characterized by accumulation of pathogenic protein and inflammation, by modulating several pathways, including autophagy induction and suppression of inflammation and fibrosis. Given the relevance of these features in ADTKD, we investigated the effect of calorie restriction on disease onset and progression. Transgenic mice expressing C147W uromodulin (TgUmodC147W) were subjected to a moderate (30%) calorie restriction regimen for 15 or 24 weeks, starting at different stages of disease progression. Calorie restriction restored autophagy, as shown by decreased P62 punctae and quenched mTOR activation specifically in mutant uromodulin expressing cells, and it recovered expression of key ER-phagy receptor genes, with a concomitant, striking reduction of mutant uromodulin ER retention. In pre-symptomatic TgUmodC147W mice, calorie restriction alleviated epithelial cell stress. This, likely along with a direct anti-inflammatory effect of calorie restriction, prevented inflammation and progressive decline of kidney function. At this early disease stage, calorie restriction ameliorated the already established kidney damage and reduced fibrosis, suggesting reversal of ADTKD phenotype. Calorie restriction was also effective in significantly delaying disease progression in TgUmodC147W mice with advanced disease and already compromised kidney function. Calorie restriction enhanced autophagy and uromodulin degradation, counteracting the primary effect of UMOD mutations, and significantly ameliorated kidney disease onset and progression. Complete data files relative to the manuscript "Cratere MG, Perrone B, Canciani B, Schaeffer C, Rampoldi L. Calorie Restriction Leads to Degradation of Mutant Uromodulin and Ameliorates Inflammation and Fibrosis in UMOD-Related Kidney Disease. J Am Soc Nephrol. 2026 Feb 3. doi: 10.1681/ASN.0000001032. Epub ahead of print. PMID: 41632531".

Data associated with the manuscript "Petrogenesis of Permian A-type and I-type felsic rocks in the southern Beishan Orogenic Collage and geodynamic implications"

Abstract Teachers' leadership style is a critical determinant of instructional effectiveness, particularly in English as a Foreign Language (EFL) contexts where student engagement is essential. This study aims to identify the dominant leadership styles applied by English teachers and to evaluate the level and characteristics of students' learning motivation in junior high schools on Bangka Island. Employing a quantitative survey design, data were collected from 20 English teachers and 20 seventh-grade students. The Leader Behavior Description Questionnaire (LBDQ) and a multi-dimensional motivation scale were utilized. Data analysis involved descriptive statistics and mapping into the Ohio State leadership quadrants. Findings reveal that teachers predominantly exhibit a "High Initiating Structure and High Consideration" style (Quadrant III), indicating an effective balance between task-oriented and relationship-oriented behaviors. Students' motivation was generally high, driven by strong internal factors such as sense of agency (84%) and need for action (76%). However, external support from "significant others" showed significant variability. The study suggests that teacher leadership is not a fixed trait but a situational capability to synchronize instructional structure with students' psychological needs, thereby fostering an optimal EFL learning environment. Keywords: Teacher leadership style, Learning motivation, English Foreign Language (EFL), Ohio State Model, Junior high school

The data that support the findings of this study were derived from the following resources available in the public domain: Precipitation: https://www.scidb.cn/en/file?fid=62386fd82032a703ca4c3697&mode=front; Snowmelt: https://www.ncdc.ac.cn/portal/metadata/22711754-dbff-439d-a0e5-afb3d4cdad74; Soil moisture: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-land-monthly-means?tab=overview; NDVI: https://zenodo.org/records/8253971.

This study introduces a self-constructed loofah pest and disease dataset comprising 2,929 images collected from real agricultural environments in Guangdong, China. The dataset covers five distinct categories: Downy Mildew (475 images), Diaphania Indica (550 images), Healthy Loofah (732 images), Liromyza (496 images), and Needle Peak (676 images). Collected under diverse lighting conditions and complex field backgrounds using various imaging devices including digital cameras and smartphones, the dataset presents substantial challenges for recognition tasks due to uneven illumination, varied disease severity, and complex environmental contexts. This dataset serves as a valuable benchmark for evaluating lightweight models in real-world agricultural scenarios and supports the development of efficient crop disease diagnosis systems for UAV edge devices.

The core hypothesis is that emotional states and disordered eating behaviors have a bidirectional dynamic association in clinically diagnosed eating disorder patients: elevated negative affect predicts abnormal eating behaviors (e.g., binge eating, purging), which in turn influence subsequent emotional states (e.g., immediate negative affect relief via negative reinforcement), with this association moderated by diagnostic subtype, eating behavior type, emotional trajectory, and EMA methodological parameters. Data were aggregated from 36 observational studies (2007–2026) across 10 databases and hand-searched references (retrieved by January 19, 2026), including 2,550 participants (93.5% female, mean age ~28 years) with clinical eating disorder diagnoses, from clinical (n=11), community (n=5), and mixed (n=20) samples. EMA protocols involved 2–231 days of monitoring (mostly 7–14 days), 3–8 daily signals (usually 6), and ~85% compliance, measuring emotional states (negative/positive affect, dynamic indicators), disordered eating behaviors, and quantitative indicators (β coefficients, subgroup results, etc.). Key findings include a significant positive emotion-eating association (β=0.24, 95% CI: 0.22–0.27, p<0.001, I²=99.5%), bidirectional links (negative affect predicts eating behaviors [β=0.24]; eating behaviors reduce negative affect [β=-0.86]), and significant moderators (stronger associations in clinical samples, largest effect for loss of control eating, stronger links with negative affect trajectories, optimal EMA parameters of 7-day monitoring and 3 daily signals); Egger’s test indicated publication bias (p=0.001), with corrected β=0.044. The dataset confirms the emotion regulation model’s core proposition, though true effect size may be smaller due to heterogeneity and bias, supporting individualized interventions, and it can be used to replicate meta-analyses, explore moderating/mediating mechanisms, and develop standardized EMA protocols or prediction models.

Associations rules for CICY5 and CICY6

Table S1. Comparison of “Skin and Subcutaneous Tissue” Adverse Events in CTCAE Versions 5.0 and 6.0 Table S2. Adverse Events Present in CTCAE v5.0 but Not in CTCAE v6.0 Table S3. Adverse Events Introduced in CTCAE v6.0 Table S4. Comparison of skin-relaetd AEs classified as “Injury, poisoning and procedural complications” in CTCAE Versions 5.0 and 6.0 Table S5. Comparison of skin-relaetd AEs classified as “Infections and Infestations” in CTCAE Versions 5.0 and 6.0

This dataset accompanies the article “Are Children Afraid of Death? A Developmental Analysis of Thanatophobia in Early Childhood.” The article is a narrative developmental review. No new empirical data were generated or analyzed. The dataset exists solely to provide a persistent link in compliance with journal data availability requirements.

The raw data supporting the analysis and conclusions supporting the Nominal Group Technique method applied to study the good practices in teaching informatics and IT in Bulgaria. 15 teachers participated to the study.