Association of Influenza Vaccination During Pregnancy with Health Outcomes in Mothers and Children: A Population-Based Cohort Study.

Immunization rates of maternal influenza vaccination during pregnancy remain suboptimal, with concerns about potential harm to the mothers and their offspring. We conducted a population-based cohort study, using mother-child linked database in Korea: (a) maternal cohort between December 2019, and March 2022; (b) neonatal cohort between September 2020, and June 2021. Exposure was defined as influenza vaccination during pregnancy.

Mixed-Dimensional Semiconductors-Based Ternary Circuits with Tunable Negative Transconductance Characteristics.

Multivalued logic (MVL) systems, in which data are processed with more than two logic values, are considered a viable solution for achieving superior processing efficiency with higher data density and less complicated system complexity without further scaling challenges. Such MVL systems have been conceptually realized by using negative transconductance (NTC) devices whose channels consist of van der Waals (vdW) heterojunctions of low-dimensional semiconductors; however, their circuit operations have not been quite ideal for driving multiple stages in real circuit applications due to reasons such as a reduced output swing and poorly defined logic states. Herein, we demonstrate ternary inverter circuits with near rail-to-rail swing and three distinct logic states by employing vdW p-n heterojunctions of single-walled carbon nanotubes (SWCNT) and MoS where the SWCNT layer completely covers the MoS layer.

SymScore: Machine learning accuracy meets transparency in a symbolic regression-based clinical score generator.

Self-report questionnaires play a crucial role in healthcare for assessing disease risks, yet their extensive length can be burdensome for respondents, potentially compromising data quality. To address this, machine learning-based shortened questionnaires have been developed. While these questionnaires possess high levels of accuracy, their practical use in clinical settings is hindered by a lack of transparency and the need for specialized machine learning expertise.

Obstructive sleep apnea subtyping based on apnea and hypopnea specific hypoxic burden is associated with brain aging and cardiometabolic syndrome.

Background: Conventional metrics such as the apnea-hypopnea index (AHI) may not fully capture the diverse clinical manifestations of obstructive sleep apnea (OSA). This study aims to establish a novel OSA subtype classification based on the patterns of apneic and hypopneic hypoxic burden (HB), a potential biomarker that more accurately reflects the severity and duration of respiratory events. We further examined the associations of these HB-based subtypes with cardiometabolic risk and brain health outcomes.

Hippocampal deep brain stimulation for drug-resistant epilepsy: Insights from bilateral temporal lobe and posterior epilepsy cases.

Purpose: This study evaluates the long-term efficacy of hippocampal deep brain stimulation (Hip-DBS) in patients with drug-resistant epilepsy (DRE), specifically focusing on bilateral temporal lobe epilepsy (BTLE) and posterior epilepsy (PE).

Methods: A retrospective analysis was conducted on 15 DRE patients (11 BTLE, 4 PE) who underwent bilateral Hip-DBS at Samsung Medical Center over an eight-year period. Medical records, seizure diaries, and neuropsychological assessments were reviewed.