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Clinical characteristics of hospitalized male adolescents and young adults with avoidant/restrictive food intake disorder (ARFID).
J Eat Disord
January 2025
Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.
Background: Avoidant/restrictive food intake disorder (ARFID) may result in significant medical sequelae. Compared to youth with eating disorders like anorexia nervosa (AN), youth with ARFID tend to be younger and are more likely to be male. We aim to describe sex differences in clinical characteristics of youth hospitalized for medical complications of ARFID and compare their characteristics with youth hospitalized for anorexia nervosa.
View Article and Find Full Text PDFPost-Treatment of Monolayer MoS Field-Effect Transistors with HO Vapor: Alleviation of Remote Channel Doping.
ACS Appl Mater Interfaces
January 2025
School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Atomic layer deposition (ALD) of high-k dielectric films on MoS channels can lead to inadvertent remote electron doping of channels owing to nonequilibrium ALD conditions, such as the low temperatures and short purge times required for pinhole-free coating, as well as the weak physical adsorption of ALD precursors on MoS. In this study, we propose the application of a simple and effective HO vapor post-treatment (HO PT) at 100 °C immediately after complete integration of bottom- and top-gate monolayer MoS field-effect transistors (FETs), to address the inadvertent channel doping effect. When HO PT was applied to bottom-gate monolayer MoS FETs with an ALD-AlO passivation layer, the mitigation of channel doping was confirmed through electrical and optical measurements.
View Article and Find Full Text PDFBivalent SMAC mimetic APG-1387 reduces HIV reservoirs and limits viral rebound in humanized mice.
iScience
December 2024
Institut de Recherches Cliniques de Montréal (IRCM), Montréal, QC H2W 1R7, Canada.
Latent viral reservoirs (VRs) represent a main barrier to HIV cure. Thus, developing new approaches that can purge and eliminate VRs paves the path toward achieving an HIV-1 cure. APG-1387, a bivalent SMAC mimetic (SM), efficiently reactivates latent HIV expression in T cell line models and enhances active caspase 3 expression, a condition that typically leads to apoptosis.
View Article and Find Full Text PDFMiniaturized thermal purge-and-trap device combined with self-calibration colorimetric/SERS dual-model optical sensors for highly rapid and selective detection of sulfur dioxide in wine.
Food Chem X
January 2025
Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Herein, the miniaturized thermal purge-and-trap (MTPT) device combined with self-calibration colorimetric/surface-enhanced Raman spectroscopy (SERS) dual-model optical sensors were designed for effective analysis of sulfur dioxide (SO) in wine. The SO can be rapidly separated from wine and enriched by MTPT device, ensuring colorimetric/SERS dual-model optical sensing based on Karl Fischer reaction. The high separation efficiency of miniaturized MTPT device combined with self-calibration of dual-model optical sensors significantly alleviate matrix interference and improve the detection accuracy.
View Article and Find Full Text PDFExploring critical pathways using robust strategies: Nanodiamond electrocatalysts for promoting boron removal via electrosorption.
Water Res
December 2024
Department of Global Smart City, Sungkyunkwan University (SKKU), 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do, 16419, Republic of Korea. Electronic address:
Article Synopsis
- The study introduces a new electrosorption technology using nanodiamonds to effectively remove boron from wastewater, achieving an impressive boron adsorption capacity of 10.5 μmol/g.
- It highlights the importance of different gas purging methods on the electrosorption process and characterizes the deterioration of electrodes through advanced spectroscopy techniques.
- A machine learning model was developed to predict effluent properties and optimize the system, demonstrating the potential of ML in enhancing water treatment processes.
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