Monkeypox-related knowledge and vaccination willingness among HIV-diagnosed and -suspected males: a cross-sectional survey in Changsha.

Objective: This study aimed to update baseline data on monkeypox (mpox)-related knowledge and vaccination willingness among human immunodeficiency virus (HIV) diagnosed and suspected males.

Methods: The cross-sectional survey was conducted in Changsha, a provincial capital in China, during 5 JULY to 5 SEPTEMBER 2023. Among the three study groups, the participants in the "previously diagnosed" group were recruited from a cohort of HIV-infected patients.

Enhanced Discovery of Alternative Proteins (AltProts) in Mouse Cardiac Development Using Data-Independent Acquisition (DIA) Proteomics.

Alternative proteins (AltProts) are a class of proteins encoded by DNA sequences previously classified as noncoding. Despite their historically being overlooked, recent studies have highlighted their widespread presence and distinctive biological roles. So far, direct detection of AltProt has been relying on data-dependent acquisition (DDA) mass spectrometry (MS).

Synergetic Contributions of High Quenching Concentration and Tuned Square Antiprism Geometry Boosting Far-Red Emission of Eu with Near-Unit Efficiency.

Far-red phosphors have emerged as a desirable research hotspot owing to their critical role in promoting plant growth. Especially, Eu ions typically present the D→F (J = 0, 1, 2, 3, 4) transitions, which overlap with the far-red light required for plant photosynthesis. However, achieving high-efficiency far-red emission of Eu remains challenging due to weak D→F transition and concentration quenching.

HIV self-management and associated factors among people living with HIV in Hunan, China: a nine-year longitudinal study.

Self-management refers to the behaviors and strategies individuals employ to manage their health conditions. For people living with HIV (PLWH), it encompasses medication adherence, health monitoring, symptom management, lifestyle maintenance and seeking emotional support. While previous studies on the factors influencing self-management in PLWH are predominantly cross-sectional, longitudinal studies are scarce.

CLMS: Bridging domain gaps in medical imaging segmentation with source-free continual learning for robust knowledge transfer and adaptation.

Deep learning shows promise for medical image segmentation but suffers performance declines when applied to diverse healthcare sites due to data discrepancies among the different sites. Translating deep learning models to new clinical environments is challenging, especially when the original source data used for training is unavailable due to privacy restrictions. Source-free domain adaptation (SFDA) aims to adapt models to new unlabeled target domains without requiring access to the original source data.

Fibrillarin homologs regulate translation in divergent cell lineages during planarian homeostasis and regeneration.

Tissue homeostasis and regeneration involve complex cellular changes. The role of rRNA modification-dependent translational regulation in these processes remains largely unknown. Planarians, renowned for their ability to undergo remarkable tissue regeneration, provide an ideal model for the analysis of differential rRNA regulation in diverse cell types during tissue homeostasis and regeneration.

Research on temperature prediction model of molten steel of tundish in continuous casting.

To achieve the desired superheat of molten steel during the continuous casting process, optimization of process parameters such as molten steel temperature in ladle furnace, casting speed, and baking temperature is necessary. Therefore, obtaining the superheat corresponding to these process parameters in advance is particularly important. To address this issue, a model for predicting the temperature of molten steel in the tundish during continuous casting is designed.

(Gesneriaceae), a Peltate-Leaved New Species From the Dry-Hot Valley of the Jinsha River Basin, Yunnan, China.

A peltate-leaved new species, Z. Xie & H. H.

RPFdb v3.0: an enhanced repository for ribosome profiling data and related content.

RPFdb (http://www.rpfdb.org or http://sysbio.

An Interpretable System for Screening the Severity Level of Retinopathy in Premature Infants Using Deep Learning.

Accurate evaluation of retinopathy of prematurity (ROP) severity is vital for screening and proper treatment. Current deep-learning-based automated AI systems for assessing ROP severity do not follow clinical guidelines and are opaque. The aim of this study is to develop an interpretable AI system by mimicking the clinical screening process to determine ROP severity level.

A novel structurally modified isophorone fluorescent probe for HS detection.

Hydrogen sulfide (HS) has a comprehensive contribution to the normal operation and stability of organisms and is also present in environmental water samples and food deterioration. Thus, it is exceedingly promising and significant to develop a highly sensitive detection technique for tracing HS. Inspired by this, we designed and synthesized a new fluorescent probe 2-[3-[2-[3-bromo-4-(2,4- dinitrobenzenesulfonate)] ethenyl]-5,5-dimethyl-2-cyclohexen-1-ylidene]propanedinitrile (SP-Br) for hydrosulfide ion detection by introducing bromine atom.

Discovery of RGT-018: A Potent, Selective, and Orally Bioavailable SOS1 Inhibitor for KRAS-Driven Cancers.

KRAS is the most frequently dysregulated oncogene with a high prevalence in non-small cell lung cancer, colorectal cancer, and pancreatic cancer. FDA-approved sotorasib and adagrasib provide breakthrough therapies for patients with cancer with KRASG12C mutation. However, there is still high unmet medical need for new agents targeting broader KRAS-driven tumors.

Circular RNA-based therapy provides sustained and robust neuroprotection for retinal ganglion cells.

Ocular neurodegenerative diseases like glaucoma lead to progressive retinal ganglion cell (RGC) loss, causing irreversible vision impairment. Neuroprotection is needed to preserve RGCs across debilitating conditions. Nerve growth factor (NGF) protein therapy shows efficacy, but struggles with limited bioavailability and a short half-life.

Comprehensive and deep evaluation of structural variation detection pipelines with third-generation sequencing data.

Background: Structural variation (SV) detection methods using third-generation sequencing data are widely employed, yet accurately detecting SVs remains challenging. Different methods often yield inconsistent results for certain SV types, complicating tool selection and revealing biases in detection.

Results: This study comprehensively evaluates 53 SV detection pipelines using simulated and real data from PacBio (CLR: Continuous Long Read, CCS: Circular Consensus Sequencing) and Nanopore (ONT) platforms.

Comprehensive identification of pathogenic variants in retinoblastoma by long- and short-read sequencing.

Retinoblastoma (RB) is the most common intraocular malignancy in childhood. The causal variants in RB are mostly characterized by previously used short-read sequencing (SRS) analysis, which has technical limitations in identifying structural variants (SVs) and phasing information. Long-read sequencing (LRS) technology has advantages over SRS in detecting SVs, phased genetic variants, and methylation.

Alterations of mouse gut microbiome in alveolar echinococcosis.

Alveolar echinococcosis (AE) may affect the composition of the host's gut microbiota, potentially disrupting the balance between the gut microbiota and metabolites. Metagenomics and untargeted metabolomics were employed to characterize changes in the gut microbiota and metabolites in mouse models infected with . Pearson correlation coefficients were calculated to compare the distribution of microbiota and metabolites, revealing synergistic or mutually exclusive relationships.

Accurate Identification of Spatial Domain by Incorporating Global Spatial Proximity and Local Expression Proximity.

Accurate identification of spatial domains is essential in the analysis of spatial transcriptomics data in order to elucidate tissue microenvironments and biological functions. However, existing methods only perform domain segmentation based on local or global spatial relationships between spots, resulting in an underutilization of spatial information. To this end, we propose SECE, a deep learning-based method that captures both local and global relationships among spots and aggregates their information using expression similarity and spatial similarity.

RDLR: A Robust Deep Learning-Based Image Registration Method for Pediatric Retinal Images.

Retinal diseases stand as a primary cause of childhood blindness. Analyzing the progression of these diseases requires close attention to lesion morphology and spatial information. Standard image registration methods fail to accurately reconstruct pediatric fundus images containing significant distortion and blurring.

Plasma EBV quantification is associated with the efficacy of immune checkpoint blockade and disease monitoring in patients with primary pulmonary lymphoepithelioma-like carcinoma.

Objectives: Primary pulmonary lymphoepithelioma-like carcinoma (PLELC) is a subtype of lung carcinoma associated with the Epstein-Barr virus (EBV). The clinical predictive biomarkers of immune checkpoint blockade (ICB) in PLELC require further investigation.

Methods: We prospectively analysed EBV levels in the blood and immune tumor biomarkers of 31 patients with ICB-treated PLELC.

A complex case study: coexistence of multi-drug-resistant pulmonary tuberculosis, HBV-related liver failure, and disseminated cryptococcal infection in an AIDS patient.

Background: Hepatitis B virus (HBV) infection can cause liver failure, while individuals with Acquired Immunodeficiency Virus Disease (AIDS) are highly susceptible to various opportunistic infections, which can occur concurrently. The treatment process is further complicated by the potential occurrence of immune reconstitution inflammatory syndrome (IRIS), which presents significant challenges and contributes to elevated mortality rates.

Case Presentation: The 50-year-old male with a history of chronic hepatitis B and untreated human immunodeficiency virus (HIV) infection presented to the hospital with a mild cough and expectoration, revealing multi-drug resistant pulmonary tuberculosis (MDR-PTB), which was confirmed by XpertMTB/RIF PCR testing and tuberculosis culture of bronchoalveolar lavage fluid (BALF).

AGSAM: Agent-Guided Segment Anything Model for Automatic Segmentation in Few-Shot Scenarios.

Precise medical image segmentation of regions of interest (ROIs) is crucial for accurate disease diagnosis and progression assessment. However, acquiring high-quality annotated data at the pixel level poses a significant challenge due to the resource-intensive nature of this process. This scarcity of high-quality annotated data results in few-shot scenarios, which are highly prevalent in clinical applications.

MiR-371-5p regulates trophoblast cell proliferation, migration, and invasion by directly targeting ZNF516.

Despite its prevalence, preeclampsia (PE) remains unclear as to its etiology. Here, we aimed to investigate the mechanisms regulating differences in the gene expression of zinc-finger protein 516 (ZNF516) in the placenta. The expression of the placental ZNF516 gene and its association with critical clinical markers were verified, and a rigorous correlation analysis was conducted.

Multifunctional Antimonene-Silver Nanocomposites for Ultra-Multi-Mode and Multi-Analyte Sensing, Parallel and Batch Logic Computing, Long-Text Information Protection.

To simulate life's emergent functions, mining the multiple sensing capabilities of nanosystems, and digitizing networks of transduction signals and molecular interactions, is an ongoing endeavor. Here, multifunctional antimonene-silver nanocomposites (AM-Ag NCs) are synthesized facilely and fused for molecular sensing and digitization applications (including ultra-multi-mode and multi-analyte sensing, parallel and batch logic computing, long-text information protection). By mixing surfactant, AM, Ag and Sodium borohydride (NaBH) at room temperature for 5 min, the resulting NCs are comprised of Ag nanoparticles scattered within AM nanosheets and protected by the surfactant.