The mediating role of cognitive arousal in the relationship between impulsivity and sleep quality among college students: a random intercept cross-lagged panel analysis.

Impulsivity, cognitive arousal, and sleep quality are critical factors affecting college students' well-being and academic performance. While impulsivity negatively influences sleep quality, the mediating role of cognitive arousal remains underexplored. The present study assesses how impulsivity affects sleep quality through cognitive arousal.

Correction: The hidden costs of inflation: A critical analysis of industrial development and environmental consequences.

[This corrects the article DOI: 10.1371/journal.pone.

The hidden costs of inflation: A critical analysis of industrial development and environmental consequences.

The study draws attention to the associations between monetary and economic elements and their potential environmental impacts. The study uses time series data from 1960 to 2022 to examine the connection between CO2 emissions, industrial growth, GNE, and inflation in China. The researchers utilized the well-known econometric technique of nonlinear autoregressive distributed lag (NARDL) to examine nonlinear correlations between these variables.

A Machine Learning-Based Anomaly Prediction Service for Software-Defined Networks.

Software-defined networking (SDN) has gained tremendous growth and can be exploited in different network scenarios, from data centers to wide-area 5G networks. It shifts control logic from the devices to a centralized entity (programmable controller) for efficient traffic monitoring and flow management. A software-based controller enforces rules and policies on the requests sent by forwarding elements; however, it cannot detect anomalous patterns in the network traffic.

Privacy-preserving contact tracing in 5G-integrated and blockchain-based medical applications.

The current pandemic situation due to COVID-19 is seriously affecting our daily work and life. To block the propagation of infectious diseases, an effective contact tracing mechanism needs to be implemented. Unfortunately, existing schemes have severe privacy issues that jeopardize the identity-privacy and location-privacy for both users and patients.

An algebraic aspect of Pareto mixture parameter estimation using censored sample: A Bayesian approach.

Applications of Pareto distribution are common in reliability, survival and financial studies. In this paper, A Pareto mixture distribution is considered to model a heterogeneous population comprising of two subgroups. Each of two subgroups is characterized by the same functional form with unknown distinct shape and scale parameters.