Multiple one-shot image generation via deep structure reshuffle.

One-Shot image Generation (OSG) models have attracted much attention in recent years due to their relaxed requirements on the number of training samples (one is required). However, these methods cannot simultaneously model multiple samples of different classes (e.g.

Minimally Invasive Anatomic Resection of Liver Segment VIII Based on Portal Territory to Treat Hepatocellular Carcinoma.

Hepatectomy is the primary treatment for hepatocellular carcinoma (HCC) and is categorized into anatomical hepatectomy and non-anatomical hepatectomy based on the extent of resection. Anatomical hepatectomy utilizes the portal territory (PT) liver segment or subsegment as the basic anatomical unit, systematically resecting the tumor-bearing PT and completely removing the Glisson system that supplies and demarcates this area to enhance oncological efficacy. Non-anatomical hepatectomy follows the principle of radical oncological resection, emphasizing the removal of liver tissue more than 1 cm away from the tumor margin.

Effect of compost as a soil amendment on the structure and function of fungal diversity in saline-alkali soil.

Agricultural productivity is significantly impeded by salinization, which also adversely affects the environment. The use of compost as a soil conditioner has been shown to effectively ameliorate saline-alkali soils. Nonetheless, there is a paucity of research investigating the effects of compost on microbial populations within these soils.

Salmonella enterica mediated epigenetic promotion of fibrosis is a novel factor in benign prostatic hyperplasia.

Background: Fibrosis constitutes a significant pathophysiological mechanism in the clinical progression of benign prostatic hyperplasia (BPH) and represents a contributing factor to the ineffectiveness of prevailing pharmacological treatments. Emerging evidence suggests a close association between microbial presence and the development of fibrosis. Nonetheless, the potential involvement of microbes within prostatic tissue in the pathogenesis of BPH and prostatic fibrosis, along with the underlying mechanisms, remains unexplored.

Research on the Superlubricity of Lotus Root Starch/Carbon Nanotube Composite Water-Based Lubricant.

Lubricants are widely used in the mechanical, electronic, and medical fields; however, traditional mineral oil-based lubricants cause environmental pollution. Therefore, the search for renewable, nontoxic, and environmentally friendly lubricants has become a current research focus. In this study, a lotus root starch (LRS)/carbon nanotube (CNT) composite water-based lubricant was introduced into a lotus root starch water-based lubricant, and frictional experiments were conducted using a GCr15-SiC ball-on-disk tribopair.

Transcriptome Screening of Hormone-Regulated Genes Related to Fruit Development in Mill. cv. Goutou Fruits at Different Ripening Stages.

Mill. cv. Goutou is an edible and medicinal fruit whose development significantly impacts the metabolism and accumulation of nutrients and is regulated by plant hormones.

A review of soil waterlogging impacts, mechanisms, and adaptive strategies.

Waterlogging is a major abiotic stress affecting plant growth and productivity. Regardless of rainfall or irrigated environments, plants frequently face waterlogging, which may range from short-term to prolonged durations. Excessive precipitation and soil moisture disrupt crop growth, not because of the water itself but due to oxygen deficiency caused by water saturation.

MONet: cancer driver gene identification algorithm based on integrated analysis of multi-omics data and network models.

Cancer progression is orchestrated by the accrual of mutations in driver genes, which endow malignant cells with a selective proliferative advantage. Identifying cancer driver genes is crucial for elucidating the molecular mechanisms of cancer, advancing targeted therapies, and uncovering novel biomarkers. Based on integrated analysis of Multi-Omics data and Network models, we present MONet, a novel cancer driver gene identification algorithm.

Uncovering novel therapeutic clues for hypercoagulable active ulcerative colitis: novel findings from old data.

Background: Hypercoagulability has been shown to act as an important component of ulcerative colitis (UC) pathogenesis and disease activity, and is strongly correlated with the occurrence of venous thromboembolism (VTE). This study aimed at providing novel therapeutic clues for hypercoagulable active UC.

Methods: The coagulation score model was developed using VTE cohorts, and the predictive performance of this model was evaluated by coagulation subtypes of UC patients, which were clustered by the unsupervised method.

Essential Oil From Tetrapanax papyrifer (Hook.) K. Koch: Chemical Composition, Antioxidant Activity, α-Glucosidase Inhibitory Effect Integrating Molecular Docking Analysis.

This study investigated the chemical composition of essential oil from Tetrapanax papyrifer and evaluated its antioxidant and anti-α-glucosidase activity. A total of 61 essential oil compounds from T. papyrifer were identified by gas chromatography-mass spectrometry (GC-MS) and gas chromatography-flame ionization detector (GC-FID).

Enhancing wound healing through sonodynamic silver/barium titanate heterostructures-loading gelatin/PCL nanodressings.

Bacterial infections present a formidable challenge in surgical procedures, and are a major threat to wound healing. Sonodynamic therapy (SDT) is a non-invasive approach for fighting pathogens; however, it is hindered by the efficiency of sonosensitizers and effective antibacterial time. In this study, we developed a biocompatible nanodressing to improve the antibacterial efficacy and accelerate wound healing via SDT.

CSTF2 Supports Hypoxia Tolerance in Hepatocellular Carcinoma by Enabling m6A Modification Evasion of PGK1 to Enhance Glycolysis.

Cleavage stimulation factor subunit 2 (CSTF2) is a fundamental factor in the regulation of 3'-end cleavage and alternative polyadenylation of pre-mRNAs. Previous work has identified a tumor-promoting role of CSTF2, suggesting that it may represent a potential therapeutic target. In this study, we aimed to elucidate the mechanistic function of CSTF2 in hepatocellular carcinoma (HCC).

DeepO-GlcNAc: a web server for prediction of protein O-GlcNAcylation sites using deep learning combined with attention mechanism.

Introduction: Protein O-GlcNAcylation is a dynamic post-translational modification involved in major cellular processes and associated with many human diseases. Bioinformatic prediction of O-GlcNAc sites before experimental validation is a challenge task in O-GlcNAc research. Recent advancements in deep learning algorithms and the availability of O-GlcNAc proteomics data present an opportunity to improve O-GlcNAc site prediction.

Reliability and Availability of the 2017 EULAR-OMERACT Scoring System for Ultrasound Synovitis Assessment: Results From a Training and Reading Exercise.

Objective: To evaluate the availability and reliability of the European League Against Rheumatisms Outcome Measures in Rheumatology Synovitis (EULAR-OMERACT) scoring system among radiologists with different levels of musculoskeletal ultrasound (US) experience in assessing synovitis in patients with rheumatoid arthritis (RA).

Method: The patients with RA were retrospectively recruited from January 2020 to March 2022. Five radiologists with different levels of US experience were recruited for the reader study (R1-5), which included two parts.

GSRF-DTI: a framework for drug-target interaction prediction based on a drug-target pair network and representation learning on a large graph.

Background: Identification of potential drug-target interactions (DTIs) with high accuracy is a key step in drug discovery and repositioning, especially concerning specific drug targets. Traditional experimental methods for identifying the DTIs are arduous, time-intensive, and financially burdensome. In addition, robust computational methods have been developed for predicting the DTIs and are widely applied in drug discovery research.

Dynamics of polarization-tuned mirror symmetry breaking in a rotationally symmetric system.

Lateral momentum conservation is typically kept in a non-absorptive rotationally symmetric system through mirror symmetry via Noether's theorem when illuminated by a homogeneous light wave. Therefore, it is still very challenging to break the mirror symmetry and generate a lateral optical force (LOF) in the rotationally symmetric system. Here, we report a general dynamic action in the SO(2) rotationally symmetric system, originating from the polarization-tuned mirror symmetry breaking (MSB) of the light scattering.

SCSMD: Single Cell Consistent Clustering based on Spectral Matrix Decomposition.

Cluster analysis, a pivotal step in single-cell sequencing data analysis, presents substantial opportunities to effectively unveil the molecular mechanisms underlying cellular heterogeneity and intercellular phenotypic variations. However, the inherent imperfections arise as different clustering algorithms yield diverse estimates of cluster numbers and cluster assignments. This study introduces Single Cell Consistent Clustering based on Spectral Matrix Decomposition (SCSMD), a comprehensive clustering approach that integrates the strengths of multiple methods to determine the optimal clustering scheme.

Deep learning driven diagnosis of malignant soft tissue tumors based on dual-modal ultrasound images and clinical indexes.

Background: Soft tissue tumors (STTs) are benign or malignant superficial neoplasms arising from soft tissues throughout the body with versatile pathological types. Although Ultrasonography (US) is one of the most common imaging tools to diagnose malignant STTs, it still has several drawbacks in STT diagnosis that need improving.

Objectives: The study aims to establish this deep learning (DL) driven Artificial intelligence (AI) system for predicting malignant STTs based on US images and clinical indexes of the patients.

Antibiofilm Mechanisms of the Helical G3 Peptide against .

Antibacterial peptides (ABPs) have been recognized as promising alternatives to conventional antibiotics due to their broad antibacterial spectrum, high antibacterial activity, and low possibility of inducing bacterial resistance. However, their antibiofilm mechanisms have not yet reached a consensus. In this study, we investigated the antibiofilm activity of a short helical peptide G3 against , one of the most important strains of medical device contamination.

A novel hypergraph model for identifying and prioritizing personalized drivers in cancer.

Cancer development is driven by an accumulation of a small number of driver genetic mutations that confer the selective growth advantage to the cell, while most passenger mutations do not contribute to tumor progression. The identification of these driver genes responsible for tumorigenesis is a crucial step in designing effective cancer treatments. Although many computational methods have been developed with this purpose, the majority of existing methods solely provided a single driver gene list for the entire cohort of patients, ignoring the high heterogeneity of driver events across patients.

Mesenchymal stem cells derived from CHIR99021 and TGF‑β induction remained on the colicomentum and improved cardiac function of a rat model of acute myocardium infarction.

Human induced pluripotent stem cells (hiPSCs) have been regarded as a potential stem cell source for cell therapy. However, the production of cells with mesenchymal potential from hiPSCs through spontaneous differentiation is time consuming and laborious. In the present study, the combined use of the GSK-3 inhibitor CHIR99021 and TGF-β was used to obtain mesenchymal stem cell (MSC)-like cells from hiPSCs.

Deficiency in SLC25A15, a hypoxia-responsive gene, promotes hepatocellular carcinoma by reprogramming glutamine metabolism.

Background & Aims: The role of solute carrier family 25 member 15 (SLC25A15), a critical component of the urea cycle, in hepatocellular carcinoma (HCC) progression remains poorly understood. This study investigated the impact of SLC25A15 on HCC progression and its mechanisms.

Methods: We systematically investigated the function of SLC25A15 in HCC progression using large-scale data mining and cell, animal, and organoid models.

Use of Machine Learning Tools in Evidence Synthesis of Tobacco Use Among Sexual and Gender Diverse Populations: Algorithm Development and Validation.

Background: From 2016 to 2021, the volume of peer-reviewed publications related to tobacco has experienced a significant increase. This presents a considerable challenge in efficiently summarizing, synthesizing, and disseminating research findings, especially when it comes to addressing specific target populations, such as the LGBTQ+ (lesbian, gay, bisexual, transgender, queer, intersex, asexual, Two Spirit, and other persons who identify as part of this community) populations.

Objective: In order to expedite evidence synthesis and research gap discoveries, this pilot study has the following three aims: (1) to compile a specialized semantic database for tobacco policy research to extract information from journal article abstracts, (2) to develop natural language processing (NLP) algorithms that comprehend the literature on nicotine and tobacco product use among sexual and gender diverse populations, and (3) to compare the discoveries of the NLP algorithms with an ongoing systematic review of tobacco policy research among LGBTQ+ populations.