Comprehensive collection of uniaxial stress-strain data for rubberized concrete.

This dataset article encompasses a thorough compilation of 80 uniaxial stress-strain datasets obtained from cylindrical rubberized concrete specimens subjected to compression testing. Data collection was meticulously conducted through a systematic review and extraction of stress-strain datasets from 68 rubberized concrete mixtures sourced from diverse literature references, incorporating rubber of different origins, sizes, volumes and characteristics. Additionally, stress-strain data for 48 cylindrical specimens, representing 12 different mixes with various rubber sizes and contents, were obtained from laboratory experiments performed by the author.

Evaluation of Two Different Methods of Fulvic Acid Application (Seed Priming and Foliar Spray) on Growth, Yield, and Nutritional Quality of Pea ( L.).

Pea is a commercially significant legume that is widely utilized worldwide and has a elevated amount of nutrition and bioactive components. Its consumption is attributed to a number of health benefits and its potential as a functional food. Fulvic acid can be used as a bio-stimulant to promote plant growth and increase nutrient availability and uptake.

A comparative study of stress amongst different hierarchies of paediatric dental providers.

Stress, a state of mental or emotional strain or tension brought on by challenging or demanding events might hamper a dentist's ability to react quickly and prudently. Their ability to deal with difficult patients may also be compromised, especially when dealing with frightened or anxious people. The main goal of this study was to survey a wide range of dental professionals from different backgrounds, including undergraduates, general practitioners and specialists, and determine how much stress each group was experiencing and how it affected both the participants and the treated patients.

Multi-temporal image analysis of wetland dynamics using machine learning algorithms.

Wetlands play a crucial role in enhancing groundwater quality, mitigating natural hazards, controlling erosion, and providing essential habitats for unique flora and wildlife. Despite their significance, wetlands are facing decline in various global locations, underscoring the need for effective mapping, monitoring, and predictive modeling approaches. Recent advances in machine learning, time series earth observation data, and cloud computing have opened up new possibilities to address the challenges of large-scale wetlands mapping and dynamics forecasting.

Residency program directors' views on ideal applicant: a national survey.

Purpose: The aim of this study is to investigate and highlight the most important factors influencing the candidate's selection for residency matching by program directors of surgical and non-surgical specialties in Saudi Arabia.

Method: This cross-sectional study was conducted in the Central, Eastern, Western, Northern, and Southern regions of Saudi Arabia from February 1, 2023, to August 31, 2023. A total of sixty-one program directors completed a questionnaire, which was adapted and validated from a previous study with permission and tailored to meet the objectives of this research.