Accounting for learning environments in academic screening.

Within multi-tiered systems of support (MTSS) practice and research, students' need for academic intervention is often determined by comparison of students' screening scores to cut scores. We examined the degree to which the relationship between students' fall screening data (i.e.

Oral health status among lorry drivers in Hyderabad city - A cross sectional study.

Background: Lorry drivers work tirelessly behind the wheels, commuting from one place to another without regular and adequate food, rest and sleep. These people often have odd working hours, long work shifts with frequent changes to their work schedule. In addition, they work in unfavorable climate conditions and face variety of problems like traffic congestions, vehicle fumes, vibrations and poor conditions of roads.

ISPAD Clinical Practice Consensus Guidelines 2024: Diabetes Technologies: Insulin Delivery.

A SUMMARY OF WHAT IS NEW OR DIFFERENT? This chapter focuses on insulin pump therapy, with a greater emphasis on glucose-responsive integrated technology that is feasible with the use of automated insulin delivery (AID) systems. The chapter also includes connected insulin pens and insulin pump therapy without AID functionality. As behavioral, psychosocial, and educational considerations of insulin delivery devices are a central part of diabetes self-management and use of insulin delivery devices, these topics are also addressed.

Administrator Turnover: The Roles of District Support, Safety, Anxiety, and Violence from Students.

Researchers have examined the importance of school administrative support for teacher safety, victimization, anxiety, and retention; however, studies to date have rarely focused on school administrators' perceptions of support by their district leaders, and its relation to administrators' anxiety/stress, safety, and their intentions to transfer or quit their jobs. In the current study of 457 PreK-12th grade school administrators in the United States, structural equation modeling was used to examine relations between administrators' perceptions of support from their district leaders and their anxiety/stress, safety, and intentions to transfer or quit their jobs. Administrator experiences of violence by student offenders served as a moderator.

The Role of Artificial Intelligence and Machine Learning in Cardiovascular Imaging and Diagnosis: Current Insights and Future Directions.

Cardiovascular diseases (CVDs) are the major cause of mortality worldwide, emphasizing the critical need for timely and accurate diagnosis. Artificial intelligence (AI) and machine learning (ML) have become revolutionary tools in the healthcare system with significant potential for cardiovascular diagnosis and imaging. AI and ML techniques, including supervised and unsupervised learning, logistic regression, deep learning models, neural networks, and convolutional neural networks (CNNs), have significantly advanced cardiovascular imaging.