The Effect of Social Media Consumption on Emotion and Executive Functioning in College Students: an fNIRS Study in Natural Environment.

As of 2023, 69% of adults and 81% of teens in the U.S. use social media.

PAX2 is Transcriptionally Silenced by a Distinct Mechanism of Epigenetic Reprogramming to Initiate Endometrial Carcinogenesis.

Unlabelled: In most cancers, including endometrial cancer, tumor suppressor genes harboring inactivating mutations have been systematically cataloged. However, locus-specific epigenetic alterations contributing to cancer initiation and progression remain only partly described, creating knowledge gaps about functionally significant tumor suppressors and underlying mechanisms associated with their inactivation. Here, we show that PAX2 is an endometrial tumor suppressor recurrently inactivated by a distinct epigenetic reprogramming event not associated with promoter hypermethylation.

Unravelling the potential of a hybrid borocarbonitride biphenylene 2D network for thermoelectric applications: a first principles study.

In this study, we investigate a novel hybrid borocarbonitride (bpn-BCN) 2D material inspired by recent advances in carbon biphenylene synthesis, using first-principles calculations and semi-classical Boltzmann transport theory. Our analysis confirms the structural stability of bpn-BCN through formation energy, elastic coefficients, phonon dispersion, and molecular dynamics simulations at 300 K and 800 K. The material exhibits an indirect band gap of 0.

Frequency and characteristics of gnathic dense bone islands in a paediatric population residing in Chandigarh, India: a cross-sectional radiographic study.

Aim: To determine the frequency and characteristics of Dense Bone Islands (DBIs) in a paediatric population residing in Chandigarh, India.

Methodology: A total of 3614 orthopantomographs (OPG) of children between the age group of 6-18 years were collected from the database of patients who underwent panoramic radiography for routine dental treatment during the period of 2018-2020. The shape, location of the lesion, and relationship of the Dense Bone Island with the tooth were identified.

Machine learning-based estimation of crude oil-nitrogen interfacial tension.

Accurate estimation of interfacial tension (IFT) between nitrogen and crude oil during nitrogen-based gas injection into oil reservoirs is imperative. The previous research works dealing with prediction of IFT of oil and nitrogen systems consider synthetic oil samples such n-alkanes. In this work, we aim to utilize eight machine learning methods of Decision Tree (DT), AdaBoost (AB), Random Forest (RF), K-nearest Neighbors (KNN), Ensemble Learning (EL), Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Multilayer Perceptron Artificial Neural Network (MLP-ANN) to construct data-driven intelligent models to predict crude oil - nitrogen IFT based upon experimental data of real crude oils samples encountered in underground oil reservoirs.