Deoxypodophyllotoxin

The Central India region is observing a rise in extreme precipitation events. Its impact is enhanced across the urban regions due to their higher population and economic potential. In this study, we assessed the historical (1951-2022) Clausius Clapeyron relation between daily precipitation extremes (P_ex) with daily maximum temperature (T_max) and dew point (DPT) for ten smart cities of Central India. Further, future (2023-2100) assessments have been carried out for SSP 245 and 585 scenarios between T_max and different P_ex using NEX-GDDP-CMIP6 datasets. The future assessment is further classified for near (NF: 2023-2050) and far (FF:2051-2100) future periods. We determined that historically, T_max has not been prominent in enhancing regional P_ex. However, DPT enhanced the regional P_ex with super scaling rates maximum of 17 %°C^-1. In the future, we observed that scaling rates between T_max and P_ex enhanced in SSP 245 and 585, respectively. Cities like Satna, Sagar, and Jabalpur tend to have positive scaling in the future. Therefore, DPT is a better predictor of precipitation extremes and assists in precise predictive modeling for enhancing regional urban sustainability and mitigating urban flood risk. However, the rise in T_max has influenced the precipitation extremes substantially since the far future period. Overall, it will assist the concerned smart cities policymakers and scientific community in making Indian cities resilient to climate change.

Given the impetus to improve accessibility for diverse learners seeking physical therapist education, it is critical that all entry points to access information have minimal barriers. This study identified Web site accessibility barriers among Doctor of Physical Therapy (DPT) programs in the United States.

Web site accessibility has been evaluated among many institutions of higher education, but none focused on DPT education. Individuals with disabilities may be adversely affected by Web site accessibility barriers.

This cross-sectional study included 262 DPT programs in the United States. Doctor of Physical Therapy program characteristics collected were geographic region, institutional control type (public/private), medical school affiliation, accreditation status, total institutional enrollment, and DPT class size.

The Web Accessibility Evaluation (WAVE) Tool assessed data related to accessibility barriers among DPT program homepage Uniform Resource Locators. Three primary outcomes from the WAVE Tool included WAVE Total Errors, Error Density, and Total Alerts.

Web site homepage accessibility barriers varied among programs for WAVE Total Errors (range 0–150), Error Density (range 0–14.6%), and Total Alerts (range 1–331). Median Total Errors were greater among private (9.0) versus public (5.0) institution Web sites (P < .001). Median Total Errors were greater among those institutions not affiliated with a medical school (9.0) compared with those that had an affiliated medical school (7.0) (P = .04). No differences in accessibility barriers were identified according to geographic region or accreditation status (P > .05). Median Total Errors were significantly different between institutional enrollment quartiles (H[3] = 17.9, P < .001), with no differences noted between DPT class size quartiles for any outcome (P > .05). Generally, weak–fair inverse correlations were observed between student enrollment for the institution and Web site accessibility barrier outcomes.

Homepage accessibility barriers varied greatly among DPT programs in the United States. Factors, including being a private institution, no medical school affiliation, and lower institutional enrollment, were related to increased accessibility barriers.