Multi-Omics Profiling and Experimental Verification of Lysosomes-Related Genes in Hepatocellular Carcinoma.

Lysosomes play a crucial role in regulating the growth, invasion and metastasis of different tumour types. However, the specific function of lysosomes in hepatocellular carcinoma (HCC) remains uncertain. We retrieved gene expression and clinical data from the TCGA and GEO databases for HCC samples and established a new lysosome-associated prognostic therapeutic index (LAPTI) based on lysosome-related genes through machine learning.

Two-Dimensional Organic-Inorganic van der Waals Hybrids.

Two-dimensional organic-inorganic (2DOI) van der Waals hybrids (vdWhs) have emerged as a groundbreaking subclass of layer-stacked (opto-)electronic materials. The development of 2DOI-vdWhs via systematically integrating inorganic 2D layers with organic 2D crystals at the molecular/atomic scale extends the capabilities of traditional 2D inorganic vdWhs, thanks to their high synthetic flexibility and structural tunability. Constructing an organic-inorganic hybrid interface with atomic precision will unlock new opportunities for generating unique interfacial (opto-)electronic transport properties by combining the strengths of organic and inorganic layers, thus allowing us to satisfy the growing demand for multifunctional applications.

Genomic analysis of Zhou8425B, a key founder parent, reveals its genetic contributions to elite agronomic traits in wheat breeding.

High-quality genome information is essential for efficiently deciphering and improving crop traits. Here we report a highly contiguous and accurate hexaploid genome assembly for the key wheat breeding parent Zhou8425B, an elite 1BL/1RS translocation line with durable adult plant resistance (APR) against yellow rust (YR) disease. By integrating HiFi and Hi-C sequencing reads, a 14.

Impact of inspiratory muscle training on aspiration symptoms in patients with dysphagia following ischemic stroke.

Objective: To investigate the impact of inspiratory muscle training on lung function and swallowing function in patients with dysphagia-induced aspiration following ischemic stroke and to evaluate the effectiveness of inspiratory muscle training on aspiration symptoms.

Methods: Fifty-eight inpatients with dysphagia-induced aspiration following ischemic stroke were selected and randomly divided into a control group (n = 29, conventional swallowing therapy) and a treatment group (n = 29, conventional swallowing therapy plus inspiratory muscle training). Both groups received conventional swallowing function training, including oral sensory training, oral motor training, airway safety protection training, and neuromuscular electrical stimulation therapy for 10-20 min per session, twice daily for 2 weeks.

Clinical application of respiratory-gated auricular vagal afferent nerve stimulation.

Vagus nerve stimulation (VNS) has garnered significant attention as a promising bioelectronic therapy. In recent years, respiratory-gated auricular vagal afferent nerve stimulation (RAVANS), a novel non-invasive vagus nerve stimulation technique, has emerged. RAVANS integrates respiration with transcutaneous auricular vagus nerve stimulation (taVNS) and shares a similar mechanism of action to traditional VNS.

Predicting risk factors for postoperative intestinal stenosis in neonates with necrotizing enterocolitis: development and assessment of a predictive nomogram.

Objective: The aim of this study was to develop and validate an intestinal stenosis prediction model for postoperative newborns with neonatal necrotizing enterocolitis (NEC).

Methods: Clinical information was collected on neonates who had undergone anastomosis or enterostomy because of NEC. The least absolute shrinkage and selection operator regression was applied to identify risk factors included in the model for postoperative intestinal stenosis.

Development of a nomogram for predicting cancer pain in lung cancer patients: An observational study.

During the progression of lung cancer, cancer pain is a common complication. Currently, there are no accurate tools or methods to predict the occurrence of cancer pain in lung cancer. Our study aims to construct a predictive model for lung cancer pain to assist in the early diagnosis of cancer pain and improve prognosis.

Paleolithic Divergence and Multiple Neolithic Expansions of Ancestral Nomadic Emperor-related Paternal Lineages.

The reconstruction of demographic history using ancient and modern genomic resources reveals extensive interactions and admixture between ancient nomadic pastoralists and the social organizations of the Chinese Central Plain. However, the extent to which Y-chromosome genetic legacies from nomadic emperor-related ancestral lineages influence the Chinese paternal gene pool remains unclear. Here, we genotype 2,717 ethnolinguistically diverse samples belonging to C2a lineages, perform whole-genome sequencing on 997 representative samples and integrate these data with ancient genomic sequences.

A Review of Application of Deep Learning in Endoscopic Image Processing.

Deep learning, particularly convolutional neural networks (CNNs), has revolutionized endoscopic image processing, significantly enhancing the efficiency and accuracy of disease diagnosis through its exceptional ability to extract features and classify complex patterns. This technology automates medical image analysis, alleviating the workload of physicians and enabling a more focused and personalized approach to patient care. However, despite these remarkable achievements, there are still opportunities to further optimize deep learning models for endoscopic image analysis, including addressing limitations such as the requirement for large annotated datasets and the challenge of achieving higher diagnostic precision, particularly for rare or subtle pathologies.

Causal effects of circulating inflammatory proteins on oral phenotypes: Deciphering immune-mediated profiles in the host-oral axis.

Background: Oral manifestations function as precursors to potential systemic pathologies, signaling early indicators of underlying health complications or immunological dysfunctions. Within these dynamics, circulating inflammatory proteins are recognized as critical mediators in immunopharmacology, bridging holistic health, immune response, and oral health.

Methods: We employed genetic data from genome-wide association studies to perform comprehensive Mendelian randomization (MR) analyses on 91 circulating inflammatory proteins and 17 oral phenotypes.

Numerical investigation of steering synchronization dynamics of laterally coupled laser array with monolithically-integrated external cold cavity.

This study numerically explores the synchronization dynamics of a one-dimension edge-emitting laser array monolithically-integrated with an external cold cavity comprehensively, aiming to achieve an in-phase mode optical field. By employing the optical feedback rate equation, the impact of mutual feedback coefficient and coupling coefficient on the synchronization process are investigated thoroughly. The proposed external cold cavity, designed according to the Talbot effect, could significantly diminish the reflectivity of front facet through separated electrode structure, therefore facilitating the phase-locking process.

Omics-Driven Strategies for Developing Saline-Smart Lentils: A Comprehensive Review.

A number of consequences of climate change, notably salinity, put global food security at risk by impacting the development and production of lentils. Salinity-induced stress alters lentil genetics, resulting in severe developmental issues and eventual phenotypic damage. Lentils have evolved sophisticated signaling networks to combat salinity stress.

A Strongly Coupled 1T'-ReSe@2H-MoSe van der Waals Heterostructure for Efficient Electrocatalytic Hydrogen Evolution at High Current Densities.

Developing efficient and durable non-noble metal electrocatalysts for high current-density hydrogen evolution reactions (HER) is a pressing requirement for commercial industrial electrolyzers. In this study, a vertical 1T'-ReSe@2H-MoSe van der Waals heterostructure was developed through interface engineering to enhance the advantages of each component and expose numerous active sites. Experimental investigations and density functional theory calculations demonstrate significant electronic coupling at the interface between 1T'-ReSe and 2H-MoSe, with suitable Gibbs free energy for hydrogen adsorption.

Interface-assisted synthesized covalent organic framework film for efficient extraction of microcystins in aquatic organisms.

Covalent organic framework (COF) film-based solid-phase extraction (F-SPE) has garnered great attention in sample pretreatment. However, harsh synthesis conditions of COF films have severely hindered their potential applications. In this study, a kind of COF (TPB-DMTP) films were fabricated via a liquid-liquid interfacial synthesis method at a mild condition.