Pancreas

Research Hotspot & Journal Scope - Predicting

This study aimed to investigate the level of attention deficiency-hyperactivity & social adjustment among students with learning disabilities in the cycle one schools in South Batinah region as well as to verify the possibility of predicting social adjustment by knowing the level of attention deficiency & hyperactivity among these students.

The results indicate that the Neural Network model with two hidden layers performed the best among selected data-driven models, accurately predicting runoff water quantity and quality over a wide range of parameters.

The particular importance of adolescent self-harm is underlined by the fact that it is often associated with suicidal ideation and behavior, and that it is one of the strongest risk factors predicting suicidal behavior [4] and death by suicide later in life [5].

Here, we introduce a computationally-efficient method for predicting nonlinear behaviors of multiple cells interacting mechanically through a 3-D ECM fiber network.

Correlation analysis identified the most significant project variables toward predicting actual duration.