Reversible ALKBH5 cytosolic aggregation accelerates cellular senescence.

Cellular senescence is the major hallmark and therapeutic target of aging and age-related diseases. The role of ALKBH5, one of the main m6A demethylases, in cellular senescence emerges however remains contentious. Herein, we show the reversible ALKBH5 aggregation in cytoplasm promotes cellular senescence.

The Impact of Multidisciplinary Conference on Clinicians.

Background: Multidisciplinary conferences (MDC) for rectal cancer yield benefits to patients; however, whether they confer benefits to clinicians has not been explicitly investigated. This qualitative study evaluates the impact of our local rectal cancer MDC on physician participants.

Materials And Methods: Semi-structured interviews were conducted via a virtual video-calling platform and recorded and transcribed.

Impact of rectal cancer multidisciplinary conferences on patient care plans.

Aim: Multidisciplinary conferences (MDCs) are standard of care for rectal cancer, and literature suggests that MDCs result in changes in as many as 50% of treatments plans. The aim of this study was to determine the frequency of changes to treatment plans at MDCs at our local institution. Secondary outcomes included clinician attendance, change in pathology and radiology reports and the association between tumour stage and care plan changes.

The architecture design and training optimization of spiking neural network with low-latency and high-performance for classification and segmentation.

Spiking Neural Networks (SNNs) are the new third generation of bio-mimetic neural networks suitable for large-scale parallel computation due to its advantages of low power consumption and low latency. However, most of the training algorithms and network architectures of existing SNNs are designed on the basis of traditional Artificial Neural Networks (ANNs), which require a large number of time-steps for inference and have high requirements for membrane potential storage space, resulting in large latency and consuming large memory resources. In this paper, we propose a spiking neurons-shared ResNet network (Spiking-NSNet) for image classification and a spiking semantic segmentation network (Spiking-SSegNet) for image segmentation based on our designed neurons-shared architecture and hybrid attenuation strategy.

SMVSNN: An Intelligent Framework for Anticancer Drug-Drug Interaction Prediction Utilizing Spiking Multi-view Siamese Neural Networks.

The study of synergistic drug combinations is vital in cancer treatment, enhancing efficacy, reducing resistance, and minimizing side effects through complementary drug actions. Drug-drug interaction (DDI) analysis offers essential theoretical support, and with the rise of data science, intelligent algorithms are increasingly replacing traditional in vitro screening for predicting potential DDIs. Considering the limitations of previous computational methods, such as the application of a single view, overly direct concatenation of drug pair features, and existing data encoding that is difficult to handle, this paper proposes a novel DDI analysis and prediction framework, called the Spiking Multi-View Siamese Neural Network-based (SMVSNN) framework.

Community structure and metabolic potentials of keystone taxa and their associated bacteriophages within rice root endophytic microbiome in response to metal(loid)s contamination.

Heavy metal (HM) contamination of agricultural products is of global environmental concern as it directly threatened the food safety. Plant-associated microbiome, particularly endophytic microbiome, hold the potential for mitigating HM stress as well as promoting plant growth. The metabolic potentials of the endophytes, especially those under the HM stresses, have not been well addressed.

Study on the influence of TiO2 nanoparticles on the breakdown voltage of transformer oil under severe cold conditions.

The modified nanoparticles can significantly improve the insulation characteristics of transformer oil. Currently, there is a lack of research on the actual motion state of particles in nanofluid to further understand the micro-mechanism of nanoparticles improving the insulation characteristics of transformer oil. In this study, the nanofluid containing 0.

Study on toxicity responses in Xenopus tropicalis long-term exposure to norfloxacin, oxytetracycline and arsenic.

The presence of residues of antibiotics and heavy metals in the global aquatic environment is a widespread potential environmental risk. Here, we studied their effect on Xenopus tropicalis by analysing the hepatotoxic effects of norfloxacin (NOR), oxytetracycline (OTC), and arsenic (As) on its histology, lipidomics, proteases, and cytokines. The results showed that development was inhibited, and additional vacuolation, sinusoids, pyknosis, nuclei, cell lysis, and leukocyte infiltration were observed in the liver after 72 days of exposure to NOR (0.

Artificial Intelligence in the Training of Radiology Residents: a Multicenter Randomized Controlled Trial.

The aim of the present study was to compare the effectiveness of AI-assisted training and conventional human training in clinical practice. This was a multicenter, randomized, controlled clinical trial conducted in five national-level residency training hospitals. Residents from five hospitals participated, divided into three groups: conventional training (Group A), conventional plus specialty training (Group B), and conventional plus AI-assisted training (Group C).

Microbial-mediated metal(loid) immobilization in mulch-covered tailings.

Mulch coverage of mining tailings can create anaerobic conditions and consequently establish an anoxic environment that promotes the metabolic processes of anaerobic microorganisms. This anoxic environment has the potential to decrease heavy metal mobility and bioavailability. While tailings exposed to sunlight have been extensively studied, research on the effects of microbial-mediated geochemical cycling of heavy metals in mulch-covered tailings is scarce.

A Weakly Solvating Ether Electrolyte Enables Fast-Charging and Wide-Temperature Lithium-Ion Pouch Cells.

Graphite-based lithium-ion batteries have succeeded greatly in the electric vehicle market. However, they suffer from performance deterioration, especially at fast charging and low temperatures. Traditional electrolytes based on carbonated esters have sluggish desolvation kinetics, recognized as the rate-determining step.

Developing a deep learning model for predicting ovarian cancer in Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS US) Category 4 lesions: A multicenter study.

Purpose: To develop a deep learning (DL) model for differentiating between benign and malignant ovarian tumors of Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS US) Category 4 lesions, and validate its diagnostic performance.

Methods: A retrospective analysis of 1619 US images obtained from three centers from December 2014 to March 2023. DeepLabV3 and YOLOv8 were jointly used to segment, classify, and detect ovarian tumors.

Partial Discharge Signal Pattern Recognition of Composite Insulation Defects in Cross-Linked Polyethylene Cables.

To investigate the pattern recognition of complex defect types in XLPE (cross-linked polyethylene) cable partial discharges and analyze the effectiveness of identifying partial discharge signal patterns, this study employs the variational mode decomposition (VMD) algorithm alongside entropy theories such as power spectrum entropy, fuzzy entropy, and permutation entropy for feature extraction from partial discharge signals of composite insulation defects. The mean power spectrum entropy (PS), mean fuzzy entropy (FU), mean permutation entropy (PE), as well as the permutation entropy values of IMF2 and IMF13 (Pe) are selected as the characteristic quantities for four categories of partial discharge signals associated with composite defects. Six hundred samples are selected from the partial discharge signals of each type of compound defect, amounting to a total of 2400 samples for the four types of compound defects combined.

Spatio-seasonal patterns and sources of major ions in the Longjiang River catchment, Southern China.

River water quality is closely related to the major ion sources and hydrological conditions. However, there is a limited cognition about the geochemical sources and the seasonal variations of major ions. Thus, in this study, a total of 90 water samples were collected from the Longjiang River and its three tributaries in the dry and wet seasons.

Stenting as bridge to surgery versus upfront emergency resection for non-metastatic left sided obstructing colorectal cancer: risk of peritoneal recurrence and long-term outcomes.

Background: Oncological outcomes of stenting as a bridge to surgery (SBTS) remain a major concern, despite perioperative benefits it offers. This study aims to evaluate the differences in recurrence patterns and survival in patients with non-metastatic, obstructing left sided colon cancers treated by SBTS versus upfront emergency surgery (ES).

Methods: This is a retrospective, single-centre cohort study of 227 consecutive patients with non-metastatic, obstructing left sided colon cancer between 2007 and 2016.

The rhizosphere microbiome reduces the uptake of arsenic and tungsten by Blechnum orientale by increasing nutrient cycling in historical tungsten mining area soils.

The growth of pioneer plants in metal mining area soil is closely related to their minimal uptake of toxic elements. Pioneer plants can inhibit the uptake of toxic elements by increasing nutrient uptake. However, few studies have focused on the mechanisms by which the rhizosphere microbiome affect nutrient cycling and their impact on the uptake of toxic elements by pioneer plants.

Analysis of depression status and influencing factors in middle-aged and elderly patients with chronic diseases.

Objectives: To explore prevalence of depression and its influencing factors in middle-aged and elderly patients with chronic diseases.

Method: Data were extracted from the 2018 China Health and Retirement Tracking Survey (CHARLS) for 6,704 middle-aged and elderly patients ≥45 years with chronic diseases. The influencing variables were selected based on LASSO-logistic regression model, and a nomogram was further drawn to visualize regression results.

Survival outcomes of salvage surgery in the watch-and-wait approach for rectal cancer with clinical complete response after neoadjuvant chemoradiotherapy: a systematic review and meta-analysis.

Purpose: This systematic review and meta-analysis compared the outcomes of the watch-and-wait (WW) approach versus radical surgery (RS) in rectal cancers with clinical complete response (cCR) after neoadjuvant chemoradiotherapy.

Methods: This study followed the PRISMA guidelines. Major databases were searched to identify relevant articles.

Surgical Outcomes in Total Neoadjuvant Therapy for Rectal Cancer Versus Standard Long-course Chemoradiation: A Systematic Review and Meta-analysis of Randomized Controlled Trials.

Objective: This systematic review and meta-analysis seeks to evaluate the impact of total neoadjuvant therapy (TNT) for rectal cancers on surgical complications and surgical pathology when compared with standard long-course chemoradiotherapy (LCRT).

Background: The oncological benefits of TNT are well published in previous meta-analyses, but there is little synthesized information on how it affects surgical outcomes. A recent study has suggested an increase in local recurrence and higher rates of breached total mesorectal excision (TME) plane in TNT patients.

A gB nanoparticle vaccine elicits a protective neutralizing antibody response against EBV.

Epstein-Barr virus (EBV) is a global public health concern, as it is known to cause multiple diseases while also being etiologically associated with a wide range of epithelial and lymphoid malignancies. Currently, there is no available prophylactic vaccine against EBV. gB is the EBV fusion protein that mediates viral membrane fusion and participates in host recognition, making it critical for EBV infection in both B cells and epithelial cells.