Quantifying cascading power outages during climate extremes considering renewable energy integration.

Climate extremes, such as hurricanes, combined with large-scale integration of environment-sensitive renewables, could exacerbate the risk of widespread power outages. We introduce a coupled climate-energy model for cascading power outages, which comprehensively captures the impacts of climate extremes on renewable generation, and transmission and distribution networks. The model is validated with the 2022 Puerto Rico catastrophic blackout during Hurricane Fiona - a unique system-wide blackout event with complete records of weather-induced outages.

Mobile schwannomas of the spine: Diagnostic and surgical considerations of two cases.

Mobile schwannomas, or schwann cell tumors, are rare, but their ability to migrate within the spinal canal complicates diagnosis and treatment. We report two cases of mobile schwannomas in the lower thoracic and lumbar spine, both presenting with intermittent low back and leg pain and leg numbness. MRIs revealed cystic masses that shifted positions over time, eventually causing disruptive pain that prompted surgical intervention.

Causality of blood metabolites on hepatocellular carcinoma and cholangiocarcinoma: a metabolome-wide mendelian randomization study.

Background: Reportedly, there is an association between body metabolites and the risk of Hepatocellular Carcinoma (HCC) & Cholangiocarcinoma (CCA), possibly due to disrupted metabolic pathways leading to oxidative stress and an imbalance in cell proliferation and apoptosis, thereby increasing the risk of cancer. However, whether metabolites play a role in the onset of HCC or CCA remains inconclusive.

Objective: The aim of our study is to explore the potential causal relationship between metabolites and the risk of HCC&CCA.

Experimental study of spontaneous imbibition from coal based on nuclear magnetic resonance relaxation spectroscopy.

Understanding the spontaneous water imbibition mechanism in coal of varying ranks has substantial implications for hydraulic operations and the safe, efficient extraction of coalbed methane. During spontaneous imbibition, low-field nuclear magnetic resonance techniques were used to test the T spectra and imaging (MRI) of coal samples, enabling the determination of water signal distribution in the samples at different time intervals. By combining this with the pore structure, we explored the water migration characteristics of the coal samples during spontaneous imbibition from a microscopic perspective.

Random resistive memory-based deep extreme point learning machine for unified visual processing.

Visual sensors, including 3D light detection and ranging, neuromorphic dynamic vision sensor, and conventional frame cameras, are increasingly integrated into edge-side intelligent machines. However, their data are heterogeneous, causing complexity in system development. Moreover, conventional digital hardware is constrained by von Neumann bottleneck and the physical limit of transistor scaling.

Causal Relationship Between Intestinal Microbiota, Inflammatory Cytokines, Peripheral Immune Cells, Plasma Metabolome and Parkinson's Disease: A Mediation Mendelian Randomization Study.

Parkinson's disease (PD) is a neurodegenerative disease involving multiple factors. We explored the connection between intestinal microbiome levels and PD by examining inflammatory cytokines, peripheral immune cell counts and plasma metabolomics as potential factors. By obtaining the Genome-Wide Association Study (GWAS) data needed for this study from GWAS Catalog, including summary data for 473 intestinal microbiota traits (N = 5959), 91 inflammatory cytokine traits (N = 14,824), 118 peripheral immune cell count traits (N = 3757), 1400 plasma metabolite traits (N = 8299) and PD traits (N = 482,730).

Resistive memory-based zero-shot liquid state machine for multimodal event data learning.

The human brain is a complex spiking neural network (SNN) capable of learning multimodal signals in a zero-shot manner by generalizing existing knowledge. Remarkably, it maintains minimal power consumption through event-based signal propagation. However, replicating the human brain in neuromorphic hardware presents both hardware and software challenges.

Baseline FIB-4 May Be a Risk Factor of Recurrence After SBRT in Patients With HBV-Related Small HCC.

Aims: Exploring fibrosis index-4 (FIB-4)'s predictive value for HBV-related hepatocellular carcinoma (HCC) in assessing recurrence following stereotactic body radiation therapy (SBRT) in patients with HBV-related HCC.

Methods: HBV-related HCC patients who underwent SBRT were retrospectively enrolled from March 2012 to March 2020. Patients were divided into recurrence and non-recurrence groups based on the HCC recurrence situation.

Cooperative condensation of RNA-DIRECTED DNA METHYLATION 16 splicing isoforms enhances heat tolerance in Arabidopsis.

Dissecting the mechanisms underlying heat tolerance is important for understanding how plants acclimate to heat stress. Here, we identify a heat-responsive gene in Arabidopsis thaliana, RNA-DIRECTED DNA METHYLATION 16 (RDM16), which encodes a pre-mRNA splicing factor. Knockout mutants of RDM16 are hypersensitive to heat stress, which is associated with impaired splicing of the mRNAs of 18 out of 20 HEAT SHOCK TRANSCRIPTION FACTOR (HSF) genes.

Causal inference between immune cells and glioblastoma: a bidirectional Mendelian randomization study.

Glioblastoma (GBM) and immunology are closely related, but its mechanism remains unclear. This study aimed to observe the causal inference between GBM and various immune cells by bidirectional Mendelian randomization (MR) analysis. We used immune cell and GBM data from the GWAS database.

High-Throughput Molecular Dynamics Study and Turbidity Analysis on Clustering and Agglomeration of Cellulose Nanocrystals in Suspensions.

The dispersion of cellulose nanocrystals (CNCs) in suspensions determines the quality of the CNC-reinforced composites. Before being mixed into the composite matrix, stable suspensions must maintain a well-dispersed state, requiring proper design strategies to prevent agglomeration and precipitation. Considering the volume fraction, aspect ratio, and zeta potential, this paper proposes a coarse-grained model to simulate CNC clustering and an experimental program to observe accelerated precipitation of CNCs.

Global research trends and frontiers in ferroptosis in hepatocellular carcinoma: a bibliometric and visualization study.

Background: Since the emergence of the hot topic of "ferroptosis," numerous studies have explored its role in hepatocellular carcinoma (HCC), revealing its significance in the disease's pathogenesis, progression, and treatment. However, there remains a significant gap in the quantitative analysis of ferroptosis in HCC. Therefore, this study aims to comprehensively assess the research progress and evolution in this field through bibliometric and citation analysis.

FSTL1 sustains glioma stem cell stemness and promotes immunosuppressive macrophage polarization in glioblastoma.

Tumor-associated macrophages (TAMs) within the tumor microenvironment (TME) play a crucial role in glioblastoma (GBM) progression by interacting with glioma stem cells (GSCs). These interactions lead to the polarization of TAMs toward an M2 phenotype, which, in turn, enhances the stem-like traits and malignant progression of GSCs. Our study shows that FSTL1, a protein released by GSCs, is significantly elevated in gliomas and linked to the progression of the disease.

PlantEMS: A comprehensive database of epigenetic modification sites across multiple plant species.

In summary, PlantEMS is designed to advance plant epigenetics research by providing a comprehensive repository of multi-omics and multi-modification data. This resource enables detailed investigations into the epigenetic regulatory mechanisms underlying essential plant traits and responses, potentially informing innovative strategies for crop management, monitoring, and development.

siRNAEfficacyDB: An experimentally supported small interfering RNA efficacy database.

Small interfering RNA (siRNA) has revolutionised biomedical research and drug development through precise post-transcriptional gene silencing technology. Despite its immense potential, siRNA therapy still faces technical challenges, such as delivery efficiency, targeting specificity, and molecular stability. To address these challenges and facilitate siRNA drug development, we have developed siRNAEfficacyDB, a comprehensive database that integrates experimentally validated siRNA efficacy data.

Preparation of Red-Emitting CDs for Glioma Imaging and Fe Sensing.

Red-emitting fluorescent carbon dots (CDs) have garnered significant attention due to their wide-ranging applications in biological fields. However, challenges such as complex precursors, labor-intensive preparation processes, and low quantum yields have hindered their broader utilization. In this study, we developed a simple and efficient solvothermal method to synthesize fluorescent CDs with tunable emission wavelengths using aniline derivatives as precursors.

Association between hemoglobin-to-red blood cell distribution width ratio and chronic kidney disease: A cross sectional study.

The hemoglobin-to-red blood cell distribution width ratio (HRR) is recognized as a novel prognostic biomarker; however, studies exploring its relationship with chronic kidney disease (CKD) are scarce. This study used data from the National Health and National Health and Nutrition Examination Survey database from 2005 to 2018. The analysis included individuals aged ≥ 20 years who had complete HRR and CKD data.

Quality Evaluation of Kidney Tea Granules From Different Origins Based on TLC, HPLC Fingerprinting, and Quantitative Analysis Combined With Chemical Pattern Recognition.

Introduction: Kidney tea is an essential herbal medicine. It is widely used to treat conditions such as urinary stones, gallstones, and rheumatoid arthritis. There is currently no standardized or widely accepted research strategy for evaluating the quality of kidney tea granules (KTGs) after granulation.

Is Microporous Carbon Confined Nano Si Composite the Best Anode Choice for High-Energy-Density Lithium-Ion Batteries?

Microporous carbon confined nano silicon composites (Si/m-C) are considered to be the best anode materials for high-energy-density lithium-ion batteries compared with the other Si-based materials such as SiO, due to high initial Coulombic efficiency (ICE) and capacity, as well as good cycling stability. However, there is a lack of multilevel comprehensive evaluation of Si/m-C, which poses potential risks to the commercial application. Herein, combined with quantitative titration, mechanical characterization, and bulk/interface evolution analysis, a systematic evolution of commercialized Si/m-C from the particle level to the cylindrical cell level is conducted, revealing the decay mechanism and proposing corresponding solutions.

Sorafenib safety evaluation: Real-world analysis of adverse events from the FAERS database.

Background: Sorafenib is approved for the targeted therapy of cancers such as liver cancer and renal cancer. Given its widespread use, drug-related adverse events have received attention, and the post-marketing regulatory link is crucial.

Objective: By using the FAERS database to mine the adverse events (AEs) related to sorafenib, comparing the association intensity of key AEs, and exploring potential drug-related AEs, it provides a reference for clinical medication.

LFHP-1c improves cognitive function after TBI in mice by reducing oxidative stress through the PGAM5-NRF2-KEAP1 ternary complex.

Traumatic brain injury (TBI) is a leading cause of disability and death. Thus, timely and effective secondary brain injury intervention is crucial, with potential to improve the prognosis of TBI. Oxidative stress contributes to post-traumatic secondary cognitive impairment, and the reduction of post-traumatic oxidative stress effectively enhances cognitive function.

Identification of a nomogram predicting overall survival based on ADAP2-related apoptosis genes in gliomas.

Background: Apoptosis continues to be a pivotal area of investigation in glioma research. ADAP2 mediates the malignant progression of gliomas through the inhibition of apoptosis and predicts the overall survival(OS) of glioma patients based on prognostic modeling of the apoptotic gene set.

Methods: The study encompassed 686 glioma patients, with 413 allocated to the training group and 273 to the validation group.

Asymmetric Cycloaddition of -2,2,2-Trifluoroethylisatin Ketimines and Unsymmetrical Dicarbonyl-Activated Alkenes: Construction of 5'-Trifluoromethylated 3,2'-Pyrrolidinyl Spirooxindoles with Three Carbonyl Groups.

The asymmetric cycloaddition between -2,2,2-trifluoroethylisatin ketimines and unsymmetrical dicarbonyl-activated alkenes catalyzed by a bifunctional squaramide has been discovered. The present study demonstrates an efficient approach for the regio-, diastereo-, and enantioselective synthesis of densely functionalized 5'-trifluoromethylated 3,2'-pyrrolidinyl spirooxindoles featuring three different types of carbonyl groups.

Comparative Analysis of AI-SONICTM Thyroid System and Six Thyroid Risk Stratification Guidelines in Papillary Thyroid Cancer: A Retrospective Cohort Study.

Aim: The study aimed to compare the diagnostic performance of AI-SONICTM Thyroid System (AI-SONICTM) with six thyroid nodule ultrasound risk stratification systems, as well as the interobserver agreement among different-year ultrasound examiners using the same diagnostic approach.

Methods: This retrospective study included patients who underwent thyroid ultrasound examination and surgery between 2010 and 2022. Three ultrasound examiners with 2, 5, and 10 years of experience, respectively, used AI-SONICTM and six guidelines to risk-stratify the nodules.