A new stress measurement strategy based on time-frequency characteristics of Lamb waves.

Existing stress evaluation methods based on the Lamb waves mainly use the time of flight (TOF) or velocity as the means of stress measurement. However, these two features used for stress measurement are sometimes insensitive to stress changes. Therefore, it is essential to explore other features that are potentially more sensitive to stress changes.

Fractional Anisotropy is a More Sensitive Diagnostic Biomarker Than Mean Kurtosis for Patients with Parkinson Disease with Cognitive Dysfunction: A Diffusional Kurtosis Map Tract-Based Spatial Statistics Study.

Background And Purpose: There is heterogeneity of white matter damage in Parkinson's disease patients with different cognitive states. Our aim was to find sensitive diffusional kurtosis imaging biomarkers to differentiate the white matter damage pattern of mild cognitive impairment and dementia.

Materials And Methods: Nineteen patients with Parkinson disease with mild cognitive impairment and 18 patients with Parkinson disease with dementia were prospectively enrolled.

Comparative transcriptomics analysis on Senecavirus A-infected and non-infected cells.

Senecavirus A (SVA) is an emerging virus that causes the vesicular disease in pigs, clinically indistinguishable from other high consequence vesicular diseases. This virus belongs to the genus in the family . Its genome is a positive-sense, single-stranded RNA, approximately 7,300 nt in length, with a 3' poly(A) tail but without 5'-end capped structure.

Sex-specific survival gene mutations are discovered as clinical predictors of clear cell renal cell carcinoma.

Although sex differences have been reported in patients with clear cell renal cell carcinoma (ccRCC), biological sex has not received clinical attention and genetic differences between sexes are poorly understood. This study aims to identify sex-specific gene mutations and explore their clinical significance in ccRCC. We used data from The Cancer Genome Atlas-Kidney Renal Clear Cell Carcinoma (TCGA-KIRC), The Renal Cell Cancer-European Union (RECA-EU) and Korean-KIRC.

[Comparison of the efficacy of carelizumab combined with chemotherapy and chemotherapy alone in the induction therapy of locally advanced hypopharyngeal carcinoma].

To compare the efficacy and safety of carrelizumab combined with the modified TPF regimen (docetaxel, cisplatinand capecitabine) and TPF regimen alone in larynx preservation strategy for locally advanced resectable hypopharyngeal squamous cell carcinoma. A cohort study was conducted. Patients with locally advanced resectable hypopharyngeal carcinoma (cT3-4aN0-3bM0) who were treated at the Eye & ENT Hospital of Fudan University from January 2017 to April 2023 were enrolled in the study.

Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction.

Although high-dimensional clinical data (HDCD) are increasingly available in biobank-scale datasets, their use for genetic discovery remains challenging. Here we introduce an unsupervised deep learning model, Representation Learning for Genetic Discovery on Low-Dimensional Embeddings (REGLE), for discovering associations between genetic variants and HDCD. REGLE leverages variational autoencoders to compute nonlinear disentangled embeddings of HDCD, which become the inputs to genome-wide association studies (GWAS).

Artificial intelligence-enhanced automation of left ventricular diastolic assessment: a pilot study for feasibility, diagnostic validation, and outcome prediction.

Background: Evaluating left ventricular diastolic function (LVDF) is crucial in echocardiography; however, the complexity and time demands of current guidelines challenge clinical use. This study aimed to develop an artificial intelligence (AI)-based framework for automatic LVDF assessment to reduce subjectivity and improve accuracy and outcome prediction.

Methods: We developed an AI-based LVDF assessment framework using a nationwide echocardiographic dataset from five tertiary hospitals.

RevGraphVAMP: A protein molecular simulation analysis model combining graph convolutional neural networks and physical constraints.

Molecular dynamics simulation is a crucial research domain within the life sciences, focusing on comprehending the mechanisms of biomolecular interactions at atomic scales. Protein simulation, as a critical subfield, often utilizes MD for implementation, with trajectory data play a pivotal role in drug discovery. The advancement of high-performance computing and deep learning technology becomes popular and critical to predict protein properties from vast trajectory data, posing challenges regarding data features extraction from the complicated simulation data and dimensionality reduction.

Discovery of sesquiterpene lactones with anti-inflammatory effect from .

The preliminary study revealed that the ethyl acetate eluate of (YJ-E) could inhibit the expression of key proteins of p-p65, p-IκBα, p-IKKα/β, and p-AKT in LPS stimulated BV2 cell. Further phytochemical study led to the isolation of eight compounds from YJ-E, including one new sesquiterpene lactone. Their structures were elucidated by several spectroscopic data, and comparing the NMR data of known compound.

Florbetaben amyloid PET acquisition time: Influence on Centiloids and interpretation.

Introduction: Amyloid positron emission tomography (PET) acquisition timing impacts quantification.

Methods: In florbetaben (FBB) PET scans of 245 adults with and without cognitive impairment, we investigated the impact of post-injection acquisition time on Centiloids (CLs) across five reference regions. CL equations for FBB were derived using standard methods, using FBB data collected between 90 and 110 min with paired Pittsburgh compound B data.

A simple and effective machine learning model for predicting the stability of intracranial aneurysms using CT angiography.

Background: It is vital to accurately and promptly distinguish unstable from stable intracranial aneurysms (IAs) to facilitate treatment optimization and avoid unnecessary treatment. The aim of this study is to develop a simple and effective predictive model for the clinical evaluation of the stability of IAs.

Methods: In total, 1,053 patients with 1,239 IAs were randomly divided the dataset into training (70%) and internal validation (30%) datasets.

Diaphragm-sparing efficacy of subparaneural upper trunk block for arthroscopic shoulder surgery: A randomised controlled trial.

Background: Inter-scalene block (ISB) is associated with an inevitable risk of hemi-diaphragmatic paresis (HDP). To reduce the risk of HDP, an upper trunk block (UTB) has been proposed at the brachial plexus division level.

Objective: We hypothesised that UTB would be associated with a lower incidence of HDP than ISB while providing sufficient analgesia following arthroscopic shoulder surgery.

Cellular and circuit architecture of the lateral septum for reward processing.

The lateral septum (LS) is composed of heterogeneous cell types that are important for various motivated behaviors. However, the transcriptional profiles, spatial arrangement, function, and connectivity of these cell types have not been systematically studied. Using single-nucleus RNA sequencing, we delineated diverse genetically defined cell types in the LS that play distinct roles in reward processing.

Zona incerta mediates early life isoflurane-induced fear memory deficits.

The potential long-term effects of anesthesia on cognitive development, especially in neonates and infants, have raised concerns. However, our understanding of its underlying mechanisms and effective treatments is still limited. In this study, we found that early exposure to isoflurane (ISO) impaired fear memory retrieval, which was reversed by dexmedetomidine (DEX) pre-treatment.

Healthcare resource utilization and economic burden of multiple sclerosis in Chinese patients: results from a real-world survey.

Multiple sclerosis (MS) is uncommon in China and the standard of care is underdeveloped, with limited utilization of disease-modifying treatment (DMT). An understanding of real-world disease burden (including direct medical, non-medical, and indirect costs, such as loss of productivity), is currently lacking in this population. To investigate the overall burden of managing patients with MS in China, a cross-sectional survey of physicians and their consulting patients with MS was conducted in 2021.

Atypical local and global biological motion perception in children with attention deficit hyperactivity disorder.

Perceiving biological motion (BM) is crucial for human survival and social interaction. Many studies have reported impaired BM perception in autism spectrum disorder, which is characterised by deficits in social interaction. Children with attention deficit hyperactivity disorder (ADHD) often exhibit similar difficulties in social interaction.

Random forest-based prediction of intracranial hypertension in patients with traumatic brain injury.

Background: Treatment and prevention of intracranial hypertension (IH) to minimize secondary brain injury are central to the neurocritical care management of traumatic brain injury (TBI). Predicting the onset of IH in advance allows for a more aggressive prophylactic treatment. This study aimed to develop random forest (RF) models for predicting IH events in TBI patients.

Thrombectomy Plus Intra-Arterial Thrombolysis Versus Thrombectomy for Acute Large Vessel Occlusions: a Matched-Control Study.

Aim: We conducted a matched-control analysis to compare the outcomes of large vessel occlusion (LVO) patients treated with mechanical thrombectomy (MT) plus Intra-arterial thrombolysis (IAT) versus those treated with MT alone.

Methods: The subjects of this study were chosen from ANGEL-ACT registry. All patients who received MT were identified and categorized into two groups: "MT + IAT" and "MT," based on whether or not they received additional intra-arterial medication IAT during the MT procedure.

Establishing a Framework for Evaluating the Effectiveness of Vaccines Targeting National Vaccination Programs.

Background: The increasing number of vaccines and the complexity of immunization programs, along with continuous changes in the epidemiology of infectious diseases, necessitate a systematic approach to vaccine effectiveness (VE) evaluation. This study presents a preliminary survey to establish a VE evaluation framework in Korea, focusing on the National Immunization Program.

Methods: Experts' opinions were collected through a two-round online survey targeting key stakeholders.