The Impact of Adjuvant Drug Therapy on Overall Survival in Patients with Clear Cell Renal Cell Carcinoma: A Systematic Review and Meta-Analysis.

Purpose Clear cell renal cell carcinoma (ccRCC), the dominant subtype of renal malignancy, has a rising global incidence and mortality. While surgery is the standard of care for localized cases, adjuvant therapy aims to improve outcomes in high-risk postoperative patients. To quantify the clinical value of adjuvant pharmacotherapy, this systematic review and meta-analysis assesses its effect on overall survival (OS), disease-free survival (DFS), and progression-free survival (PFS) in patients with ccRCC.

Safety and Efficacy of High-intensity Focused Ultrasound Ablation for Patients with Submucosal Fibroids without Fertility Needs: A Single-center Real-world Data Retrospective Study.

Objectives: To analyze clinical outcomes and the factors that influence the therapeutic outcomes of high-intensity focused ultrasound (HIFU) ablation for different types of submucosal uterine fibroids.

Materials And Methods: A total of 626 patients without fertility requirements who underwent HIFU ablation for submucosal uterine fibroids at Suining Central Hospital from November 1, 2010, to December 31, 2023, were retrospectively reviewed. The safety and clinical efficacy of HIFU ablation therapy for submucosal uterine fibroids were evaluated.

An aegerolysin-like protein from Heliothis virescens ascovirus 3h (HvAV-3h) shows immune suppression and antibacterial activity.

Aegerolysins are lipid-binding proteins associated with multiple functions, including membrane pore-formation, insecticidal toxicity and defence against predators. Whilst distributed over the kingdoms of the Tree of Life, ascoviruses are the only representative viruses that encode an aegerolysin-like protein. Ascoviruses are entomopathogenic and possess a large dsDNA genome.

Assembly of ascovirus HvAV-3h long DNA fragment using the Transformation-Associated Recombination (TAR) approach in yeast cells.

Background: Synthetic biology is a young but rapidly growing field that allows for assembling long DNA fragments, including complete chromosomes. A key approach for long-DNA assembly is the Transformation Associated Recombination (TAR), which relies on efficient homologous recombination in yeast cells. Recent reports indicate that the TAR method efficiently assembles some human and animal viruses characterized by their large DNA genome size.

Interpretable multiparametric MRI radiomics-based machine learning model for preoperative differentiation between benign and malignant prostate masses: a diagnostic, multicenter study.

Objective: The study aimed to develop and externally validate multiparametric MRI (mpMRI) radiomics-based interpretable machine learning (ML) model for preoperative differentiating between benign and malignant prostate masses.

Methods: Patients who underwent mpMRI with suspected malignant prostate masses were retrospectively recruited from two independent hospitals between May 2016 and May 2023. The prostate mass regions in T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) MRI images were segmented by ITK-SNAP.

SVM-LncRNAPro: An SVM-Based Method for Predicting Long Noncoding RNA Promoters.

Long non-coding RNAs (lncRNAs) are closely associated with the regulation of gene expression, whose promoters play a crucial role in comprehensively understanding lncRNA regulatory mechanisms, functions and their roles in diseases. Due to limitations of the current techniques, accurately identifying lncRNA promoters remains a challenge. To address this challenge, we propose a support vector machine (SVM)-based method for predicting lncRNA promoters, called SVM-LncRNAPro.

Monitoring invertebrate pests on cowpea crops across China using eDNA metabarcoding.

Background: Monitoring arthropod pests and their natural enemies provides essential information for pest control decisions in agricultural production. Traditional monitoring methods, such as trapping and visual surveys, have practical limitations because of their time-consuming preprocessing steps and the need for knowledgeable taxonomists. We tested the environmental DNA (eDNA) metabarcoding approach for monitoring cowpea (Vigna unguiculata) arthropod pests and their natural enemies across seven climatic sub-regions of China, comparing it with traditional sample collection and morphological identification methods.

A case of onychopapilloma presenting as longitudinal erythronychia.

A 50-year-old Asian male presented with a two-year history of a red linear streak on the nail plate of his right little finger. The streak extended from the nail root along the longitudinal axis of the nail plate. The patient also exhibited keratinized subungual hyperplasia under the distal nail margin, which progressed slowly and was associated with tenderness.

One-Component Degradable High-Thermal-Conductivity Liquid Crystal Epoxy Resins and Their Composites Based on Self-Curing Strategy.

High thermal conductivity liquid crystal epoxy resins (LCERs) and their composites are essential for efficient thermal management in electronic devices. The production of LCERs currently depends on combining epoxy monomers and hardeners or catalysts. However, these curing agents or catalysts destroy the liquid crystal phase in the crosslinked network, thereby limiting the thermal conductivity of LCERs.

ACP-DPE: A Dual-Channel Deep Learning Model for Anticancer Peptide Prediction.

Cancer is a serious and complex disease caused by uncontrolled cell growth and is becoming one of the leading causes of death worldwide. Anticancer peptides (ACPs), as a bioactive peptide with lower toxicity, emerge as a promising means of effectively treating cancer. Identifying ACPs is challenging due to the limitation of experimental conditions.

Analysis of molecular shapes and polarity in aniline derivatives for enhanced n-type carbon nanotubes based thermoelectrics and their application in self-powered electronics.

Developing cost-effective and high-performance n-type thermoelectric (TE) materials is a significant challenge for their utilization in organic electronics. Clarifying the influence of molecular structure on TE properties is of utmost importance. In this work, the analysis on how the shape and polarity of organic molecules affect the thermoelectric performance of n-type composites based on single-walled carbon nanotubes (SWCNTs) is presented.

EVlncRNA-net: A dual-channel deep learning approach for accurate prediction of experimentally validated lncRNAs.

Long non-coding RNAs (lncRNAs) play key roles in numerous biological processes and are associated with various human diseases. High-throughput RNA sequencing (HTlncRNAs) has identified tens of thousands of lncRNAs across species, but only a small fraction have been functionally characterized. While the experimental validation of lncRNAs (EVlncRNAs) using low-throughput methods is increasing, the expensive costs limit the validation to a small subset of HTlncRNAs.

Suppression of Adipokinetic hormones enhances Ascovirus HvAV-3h killing speed in Helicoverpa armigera.

The emergence of pesticide resistance in Helicoverpa armigera and other pests represents a challenge, necessitating continued development of innovative insecticides. Ascoviruses are a potential insecticide for H. armigera.

DO-GMA: An End-to-End Drug-Target Interaction Identification Framework with a Depthwise Overparameterized Convolutional Network and the Gated Multihead Attention Mechanism.

Identification of potential drug-target interactions (DTIs) is a crucial step in drug discovery and repurposing. Although deep learning effectively deciphers DTIs, most deep learning-based methods represent drug features from only a single perspective. Moreover, the fusion method of drug and protein features needs further refinement.

Genetic Analyses of Flower, Fruit, and Stem Traits of Intergeneric Hybrids Between 'Honghuagqinglong' and 'Heilong' Pitayas.

Pitaya is renowned for its delicious taste, high nutritional value, and economic as well as ornamental appeal. Breeding new pitaya varieties can boost economic returns by appealing to consumers with diverse morphological traits. However, the genetic basis underlying key traits in intergeneric hybrids of pitaya has yet to be fully understood.

GBMPhos: A Gating Mechanism and Bi-GRU-Based Method for Identifying Phosphorylation Sites of SARS-CoV-2 Infection.

Phosphorylation, a reversible and widespread post-translational modification of proteins, is essential for numerous cellular processes. However, due to technical limitations, large-scale detection of phosphorylation sites, especially those infected by SARS-CoV-2, remains a challenging task. To address this gap, we propose a method called GBMPhos, a novel method that combines convolutional neural networks (CNNs) for extracting local features, gating mechanisms to selectively focus on relevant information, and a bi-directional gated recurrent unit (Bi-GRU) to capture long-range dependencies within protein sequences.

Multi-objective optimal decision for orderly power utilization based on improved ε-constraint method in active distribution networks.

With the increasing demand for electricity load in China, orderly power utilization are important measures to alleviate electricity shortages during peak periods. This article establishes a multi-objective optimization model for orderly power utilization in active distribution networks is established, with the optimization objectives of minimizing the total operation cost, minimizing the cost for users, and minimizing the load fluctuation of the system. This model contains a large number of integer variables and nonlinear constraints, which is difficult to solve.

Phylogenomic data exploration with increased sampling provides new insights into the higher-level relationships of butterflies and moths (Lepidoptera).

A robust and stable phylogenetic framework is a fundamental goal of evolutionary biology. As the third largest insect order in the world following Coleoptera and Diptera, Lepidoptera (butterflies and moths) play a central role in almost every terrestrial ecosystem as indicators of environmental change and serve as important models for biologists exploring questions related to ecology and evolutionary biology. However, for such a charismatic insect group, the higher-level phylogenetic relationships among its superfamilies are still poorly resolved.

Efficacy of cardiopulmonary rehabilitation nursing in enhancing pulmonary function, sleep quality, and living ability in COVID-19 patients.

Objective: The purpose of this study was to elucidate the impact of cardiopulmonary rehabilitation nursing on the pulmonary function, sleep quality, and living ability of patients afflicted with Coronavirus Disease 2019 (COVID-19).

Methods: A total of 98 patients with COVID-19 treated at The People's Hospital of Guang'an between September 2021 and January 2023 were retrospectively collected as the research subjects. Among them, 48 patients who received standard nursing care from September 2021 to September 2022 were set as the control group, and 50 patients who underwent cardiopulmonary rehabilitation nursing from October 2022 to January 2023 were set as the research group.

Computer aided diagnosis of diabetic retinopathy based on multi-view joint learning.

Diabetic retinopathy (DR) is a kind of ocular complication of diabetes, and its degree grade is an essential basis for early diagnosis of patients. Manual diagnosis is a long and expensive process with a specific risk of misdiagnosis. Computer-aided diagnosis can provide more accurate and practical treatment recommendations.

Deepm6A-MT: A deep learning-based method for identifying RNA N6-methyladenosine sites in multiple tissues.

N6-methyladenosine (m6A) is the most prevalent, abundant, and conserved internal modification in the eukaryotic messenger RNA (mRNAs) and plays a crucial role in the cellular process. Although more than ten methods were developed for m6A detection over the past decades, there were rooms left to improve the predictive accuracy and the efficiency. In this paper, we proposed an improved method for predicting m6A modification sites, which was based on bi-directional gated recurrent unit (Bi-GRU) and convolutional neural networks (CNN), called Deepm6A-MT.

The fauna of the family Adelidae (Insecta, Lepidoptera, Adeloidea) from China.

Ninety-eight species of the family Adelidae, belonging to three genera in two subfamilies, were recorded and described in China, with illustrations of the adults and their genitalia. Keys to subfamilies, genera and species are also provided. Twenty-four new species are described, nine species are newly recorded from China, and four new combinations are made.