Introduction: Developing short-form psychological measures is essential for reducing respondent burden, saving time, and conserving resources. However, existing short-form development approaches ...

Abstract: In this paper, a predefined-time convergent proximal dynamics model (PDM) is proposed to address equilibrium problems (EPs). Firstly, two improved predefined-time convergence criterion of ...

Generative artificial intelligence (AI) for predictive analysis: Can AI estimate the likelihood of sentinel lymph node metastases in early-stage breast cancer? Assessing the impact of policy ...

A recent revolutionary study reveals how mice have evolved in an incredible way. They can ‘hear’ through their whiskers. The study, released by the Weizmann Institute of Science, proves that whiskers ...

Understanding the concept of convergence is fundamental to grasping how modern mathematics and computational algorithms achieve precision and reliability. Convergence describes the process by which a ...

This important work presents a novel approach to infer causal relations in non-stationary time series data. To do so, the authors introduce a novel machine-learning model of Temporal Autoencoders for ...

Adam is widely used in deep learning as an adaptive optimization algorithm, but it struggles with convergence unless the hyperparameter β2 is adjusted based on the specific problem. Attempts to fix ...

Euler Method: The simplest numerical method for solving ODEs, which uses the derivative to project forward. [ y_{n+1} = y_n + h \cdot f(x_n, y_n) ] Heun's Method (Improved Euler Method): A two-step ...

Teaching techniques refer to the diverse array of strategies and methodologies employed by educators to engage students and facilitate effective learning experiences. What are some examples of ...

Method acting and character acting are two approaches to developing a character. While they differ in technique and process, both require discipline and focus to achieve a successful performance. Here ...