Prevalence, risk factors, and adverse outcomes of bacterial vaginosis among pregnant women: a systematic review.

Introduction: Bacterial vaginosis (BV) is one of the most common genital tract infections among women of reproductive age. The existence of BV among pregnant women has momentously attracted the attention of both clinicians and the scientific community due to its potential link with adverse clinical outcomes in pregnancy.

Methods: To evaluate the prevalence, risk factors, and adverse outcomes of bacterial vaginosis among pregnant women, a comprehensive systematic review was conducted based on the preferred reporting items for systematic review and meta-analyses (PRISMA) criteria.

Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing.

Large language models (LLMs), with their remarkable generative capacities, have greatly impacted a range of fields, but they face scalability challenges due to their large parameter counts, which result in high costs for training and inference. The trend of increasing model sizes is exacerbating these challenges, particularly in terms of memory footprint, latency and energy consumption. Here we explore the deployment of 'mixture of experts' (MoEs) networks-networks that use conditional computing to keep computational demands low despite having many parameters-on three-dimensional (3D) non-volatile memory (NVM)-based analog in-memory computing (AIMC) hardware.

Demonstration of high-reconfigurability and low-power strong physical unclonable function empowered by FeFET cycle-to-cycle variation and charge-domain computing.

Physical unclonable functions (PUFs) are of immense potential in authentication scenarios for Internet of Things (IoT) devices. For creditable and lightweight PUF applications, key attributes, including low power, high reconfigurability and large challenge-response pair (CRP) space, are desirable. Here, we report a ferroelectric field-effect transistor (FeFET)-based strong PUF with high reconfigurability and low power, which leverages the FeFET cycle-to-cycle variation throughout the workflow and introduces charge-domain in-memory computing.

Duchenne Muscular Dystrophy in Two Half-Brothers Due to Inherited 306 Kb Inverted Insertion of 10p15.1 into Intron 44 of the Dp427m Transcript of the Gene.

Duchenne muscular dystrophy (DMD) is a rare genetic disorder caused by the absence of a fully functional dystrophin protein in myocytes. In skeletal muscle, the lack of dystrophin ultimately results in muscle wasting and the replacement of myocytes with fatty or fibrous tissues. In the heart, cardiomyocytes eventually fail and cause fatal cardiomyopathy.

Morphometric Analysis of the Infraorbital Canal, Groove, and Foramen in the Indian Population: A Retrospective Analytical Study.

Aim: The aim of this research is to analyse and assess the anatomical variability of the infraorbital canal, groove, and foramen using high-resolution CT images of the Indian population using mimics software.

Materials And Methods: A total of 100 high-resolution CT (HRCT) data (200 hemi-faces) with a range of 18-65 years in Digital Imaging and Communication in Medicine (DICOM) format was incorporated in mimics software. Infraorbital foramen (IOF), infraorbital groove (IOG), and infraorbital canal (IOC) were evaluated retrospectively using seven parameters.