Collagen peptides alleviate estrogen deficiency-induced osteoporosis by enhancing osteoblast differentiation and mineralization.

Background: Osteoporosis is a systemic skeletal disorder characterized by decreased bone mass and impaired bone microarchitecture because of an imbalance between bone resorption and formation. Existing pharmacological treatments often have significant side effects and mainly focus on inhibiting bone resorption. Other than inhibiting osteoclast-mediated bone resorption, the present study also investigates the potential role of sheepskin collagen peptide (SSCP) in bone formation by promoting osteoblast proliferation, differentiation and mineralization.

Epidemiological characteristics of eleven common respiratory viral infections in children.

Background: Lower respiratory tract infections (LRTIs) are one of the leading causes of hospital admissions among children. In this study, we aimed to describe the epidemiological characteristics of viral pathogens associated with LRTIs in hospitalized children in Yan'an; this has yet to be reported in the literature and may guide public health interventions and resource allocation in this region.

Methods: Between June 2021 and May 2023, we conducted a retrospective analysis of the results of viral detection using oral pharyngeal swabs from 4565 children with LRTIs in the Inpatient Department of Yan'an University Affiliated Hospital.

Association between ZJU index and gallstones in US adult: a cross-sectional study of NHANES 2017-2020.

Background: Based on triglyceride, body mass index (BMI), alanine aminotransferase/ aspartate aminotransferase ratio, fasting blood glucose, the ZJU index is proven to be a novel and effective parameter for screening NAFLD in Chinese. This study aims to evaluate the correlation between ZJU values and the risk of developing gallstones.

Methods: The data from the National Health and Nutrition Examination Survey (NHANES) database during the period from 2017 to 2020 were analyzed in this cross-sectional study.

Dynamic interaction of antibiotic resistance between plant microbiome and organic fertilizers: sources, dissemination, and health risks.

Antibiotic resistance is a global health problem driven by the irrational use of antibiotics in different areas (such as agriculture, animal farming, and human healthcare). Sub-lethal concentrations of antibiotic residues impose selective pressure on environmental, plant-associated, and human microbiome leading to the emergence of antibiotic-resistant bacteria (ARB). This review summarizes all sources of antibiotic resistance in agricultural soils (including manure, sewage sludge, wastewater, hospitals/pharmaceutical industry, and bioinoculants).

SMART: Development and Application of a Multimodal Multi-organ Trauma Screening Model for Abdominal Injuries in Emergency Settings.

Rationale And Objectives: Effective trauma care in emergency departments necessitates rapid diagnosis by interdisciplinary teams using various medical data. This study constructed a multimodal diagnostic model for abdominal trauma using deep learning on non-contrast computed tomography (CT) and unstructured text data, enhancing the speed and accuracy of solid organ assessments.

Materials And Methods: Data were collected from patients undergoing abdominal CT scans.

Segmental myocardial tissue remodeling and atrial arrhythmias in hypertrophic cardiomyopathy: Findings from T1-mapping MRI.

Background: Myocardial fibrosis of the left ventricle (LV) has been associated with atrial fibrillation and other arrhythmias in individuals with hypertrophic cardiomyopathy (HCM). However, few studies have quantitatively examined the segmental relationship between diffuse LV fibrosis and atrial arrhythmias in HCM using T1 mapping and extracellular volume fraction (ECV). The aim of this study is to explore this relationship through T1 mapping, offering imaging insights into the pathophysiology of HCM with atrial arrhythmia.

The Effects of , , a Lignocellulolytic Enzyme System, and Their Combination on the Fermentation Profiles, Chemical Composition, Bacterial Community, and In Situ Rumen Digestion of Fresh Waxy Corn Stalk Silage.

The objective of this study was to assess the impact of , , and a lignocellulolytic enzyme system on the nutritional value, fermentation profiles, rumen digestion, and bacterial community of fresh waxy corn stalk silage. Fresh waxy corn stalks harvested after 90 days of growth were treated with no additives (CON), compound multiple lactobacilli (ML, comprising at 1.0 × 10 cfu/g fresh weight and at 1.

TRPS1 is a useful marker in differentiating metastatic breast carcinoma from pancreatic adenocarcinoma in fine-needle aspiration specimens.

Objectives: Distinction of metastatic breast carcinoma (BC) to the pancreas from primary pancreatic adenocarcinoma (PAC) is essential but challenging. Breast carcinoma shares similar morphology and exhibits an overlapping immunohistochemistry (IHC) profile with PAC. We investigated the utility of recently reported trichorhinophalangeal syndrome type 1 (TRPS1) IHC in differentiating metastatic BC from PAC in fine-needle aspiration (FNA) specimens.

The authentication of Yanchi tan lamb based on lipidomic combined with particle swarm optimization-back propagation neural network.

This study successfully combined widely targeted lipidomic with a back propagation (BP) neural network optimized based on a particle swarm algorithm to identify the authenticity of Yanchi Tan lamb. An electronic nose and gas chromatography-olfactometry-mass spectrometry (GC-O-MS) were used to explore the flavor differences in Tan lamb from various regions. Among the 17 identified volatile compounds, 16 showed significant regional differences ( < 0.

Advances in MRI Research for First-Episode Schizophrenia: A Selective Review and NSFC-Funded Analysis.

Background And Hypotheses: The causes of schizophrenia remain unclear, and research has been hindered by the lack of quantifiable standards. However, magnetic resonance imaging (MRI) is addressing these challenges, revealing critical neurobiological details and emphasizing its importance in both evaluation and treatment.

Study Design: First, we reviewed the progress of research on structural MRI (sMRI), functional MRI (fMRI), multimodal/multiomics analysis, artificial intelligence, and neuromodulation in first-episode schizophrenia (FES) over the past 5 years.

Interleaved flow-sensitive dephasing (iFSD): Toward enhanced blood flow suppression and preserved T weighting and overall signals in 3D TSE-based neuroimaging.

Purpose: To develop and validate a 3D turbo spin-echo (TSE)-compatible approach to enhancing black-blood (BB) effects while preserving T weighting and overall SNR.

Methods: Following the excitation RF pulse, a 180° RF pulse sandwiched by a pair of flow-sensitive dephasing (FSD) gradient pulses in the phase- (y) and partition-encoding (z) directions, respectively, is added. The polarity of FSD gradients in z direction is toggled every TR, achieving an interleaved FSD (iFSD) configuration in y-z plane.

A prognostic and predictive model based on deep learning to identify optimal candidates for intensity-modulated radiotherapy alone in patients with stage II nasopharyngeal carcinoma: A retrospective multicenter study.

Purpose: To develop and validate a prognostic and predictive model integrating deep learning MRI features and clinical information in patients with stage II nasopharyngeal carcinoma (NPC) to identify patients with a low risk of progression for whom intensity-modulated radiotherapy (IMRT) alone is sufficient.

Methods: This multicenter, retrospective study enrolled 999 patients with stage II NPC from two centers. 3DResNet was used to extract deep learning MRI features and eXtreme Gradient Boosting model was employed to integrate the pre-trained features and clinical information to obtain an overall score for each patient.

Non-radiomics imaging (US-CEUS) features and clinical text features: correlation with microvascular invasion and tumor grading in hepatocellular carcinoma.

Objectives: To predict microvascular invasion (MVI) status and tumor grading of hepatocellular carcinoma (HCC) by evaluating preoperative non-radiomics ultrasound and contrast-enhanced ultrasound (US-CEUS) features and determine the influences of MVI/tumor grading on the category of CEUS LI-RADS for HCC.

Methods: A total of 506 HCC patients who underwent preoperative US-CEUS examinations from 8 hospitals between July 2020 and June 2023 were enrolled. According to the MVI status, all the patients were classified, and HCC differentiation was assessed by using Edmondson-Steiner (ES) grading: MVI-negative (M0) and low-grade ES (GI/II) (MN-L, n = 297) and MVI-positive (M1/M2) and/or high-grade ES (GIII/IV) (MP-H, n = 209).

Machine learning prediction of fundamental sewage sludge biochar properties based on sludge characteristics and pyrolysis conditions.

Sewage sludge biochar (SSBC) has significant potential for resource recovery from sewage sludge (SS) and has been widely studied and applied across various fields. However, the variability in SSBC properties, resulting from the diverse nature of SS and its intricate interaction with pyrolysis conditions, presents notable challenges to its practical use. This research employed machine learning techniques to predict fundamental SSBC properties, including elemental content, proximate compositions, surface area, and yield, which are essential for assessing the applicability of SSBC.

Discovery of orally bioavailable SARS-CoV-2 papain-like protease inhibitor as a potential treatment for COVID-19.

The RNA-dependent RNA polymerase (RdRp), 3C-like protease (3CL), and papain-like protease (PL) are pivotal components in the viral life cycle of SARS-CoV-2, presenting as promising therapeutic targets. Currently, all FDA-approved antiviral drugs against SARS-CoV-2 are RdRp or 3CL inhibitors. However, the mutations causing drug resistance have been observed in RdRp and 3CL from SARS-CoV-2, which makes it necessary to develop antivirals with novel mechanisms.

Biological activity of alkaloids from kenaf bast fibres.

Alkaloids are a kind of important antibacterial components in plants. In order to explore its biological activity of alkaloids from kenaf bast fibres, the alkaloids were extracted from kenaf bast fibres and then its antibacterial activity has been evaluated in this study. The total content of crude alkaloids was 46.

High-precision DSM-based laser ranging method integrated with free space optical communication.

Free space optical communication (FSOC) technology has been developed rapidly and practically applied in many scenarios such as satellite-related ones, in unmanned aerial vehicles, for underwater use, etc. In certain applications, it is very important to obtain the high-precision position and distance information. The laser ranging technology is one of the main ways to realize it.

Component design and stable SESAM mode-locking of the disorder middle entropy Yb:CaSrBaF single crystal.

To the best of our knowledge, this is the first report on continuous and passively mode-locked operation of the multi-component fluoride CaSrBaF crystal. A novel disorder laser material, Yb:CaSrBaF (CaSrBaF) of multi-component middle entropy crystal was designed and grown by temperature gradient technique (TGT) for the first time. X-ray diffraction (XRD) and X-ray fluorescence (XRF) analysis of Yb:CaSrBaF crystal reveals that Ca, Sr, and Ba of near equal atomic ratio (1:1:1) have formed a homogeneous single-phased fluorite solid solution.