Risk reduction in SARS-CoV-2 infection and reinfection conferred by humoral antibody levels among essential workers during Omicron predominance.

The extent to which semi-quantitative antibody levels confer protection against SARS-CoV-2 infection in populations with heterogenous immune histories is unclear. Two nested case-control studies were designed within the multisite HEROES/RECOVER prospective cohort of frontline workers to study the relationship between antibody levels and protection against first-time post-vaccination infection and reinfection with SARS-CoV-2 from December 2021 to January 2023. All participants submitted weekly nasal swabs for rRT-PCR testing and blood samples quarterly and following infection or vaccination.

The CYLD-PARP1 feedback loop regulates DNA damage repair and chemosensitivity in breast cancer cells.

Poly(ADP-ribose) polymerase 1 (PARP1) plays a crucial role in DNA repair and genomic stability maintenance. However, the regulatory mechanisms governing PARP1 activity, particularly through deubiquitination, remain poorly elucidated. Using a deubiquitinase (DUB) library binding screen, we identified cylindromatosis (CYLD) as a bona fide DUB for PARP1 in breast cancer cells.

Tamsulosin ameliorates bone loss by inhibiting the release of Cl through wedging into an allosteric site of TMEM16A.

TMEM16A, a key calcium-activated chloride channel, is crucial for many physiological and pathological processes such as cancer, hypertension, and osteoporosis, etc. However, the regulatory mechanism of TMEM16A is poorly understood, limiting the discovery of effective modulators. Here, we unveil an allosteric gating mechanism by presenting a high-resolution cryo-EM structure of TMEM16A in complex with a channel inhibitor that we identified, Tamsulosin, which is resolved at 2.

A primary school-based dengue solution model for post-COVID-19 in southern Thailand: Students understanding of the dengue solution and larval indices surveillance system.

One of the consequences of the COVID-19 lockdown is that it hinders school-based dengue management interventions. This is due to the closure of schools and the limited availability of online lessons in certain schools. Conversely, the level of basic understanding that primary school children have about the condition is directly related to their likelihood of getting it and their ability to modify their behaviour to prevent it.

Manipulation of Surface Potential Distribution Enhances Osteogenesis by Promoting Pro-Angiogenic Macrophage Polarization via Activation of the PI3K-Akt Signaling Pathway.

Regulation of the immune response is key to promoting bone regeneration by electroactive biomaterials. However, how electrical signals at the micro- and nanoscale regulate the immune response and subsequent angiogenesis during bone regeneration remains to be elucidated. Here, the distinctly different surface potential distributions on charged poly(vinylidene fluoridetrifluoroethylene) (P(VDF-TrFE)) matrix surfaces are established by altering the dimensions of ferroelectric nanofillers from 0D BaTiO nanoparticles (homogeneous surface potential distribution, HOPD) to 1D BaTiO nanofibers (heterogeneous surface potential distribution, HEPD).

IMPDH2 dephosphorylation under FGFR signaling promotes S-phase progression and tumor growth.

Inosine monophosphate dehydrogenase 2 (IMPDH2) is highly expressed in human cancers; however, its physiological relevance under growth signaling remains to be investigated. Here, we show that IMPDH2 serine 122 is phosphorylated by CDK1, and this modification attenuates the catalytic activity of IMPDH2 for IMP oxidation and simultaneously represses its allosteric modulation by purine nucleotides. Fibroblast growth factor receptor (FGFR) signaling activation triggers IMPDH2-Ser122 dephosphorylation mediated by protein phosphatase 2A (PP2A), which is dependent on FGFR3-mediated PPP2R1A-Tyr261 phosphorylation leading to PPP2CA-PPP2R1A-IMPDH2 interactions.

Solvation Dynamics of Thermoresponsive Polymer Films: The Influence of Salt Series in Water and Mixed Water/Methanol Atmosphere.

Understanding the salt effects on solvation behaviors of thermoresponsive polymers is crucial for designing and optimizing responsive systems suitable for diverse environments. In this work, the effect of potassium salts (CHCOOK, KCl, KBr, KI, and KNO) on solvation dynamics of poly(4-(N-(3'-methacrylamidopropyl)-N,N-dimethylammonio) butane-1-sulfonate) (PSBP), poly(N-isopropylmethacrylamide) (PNIPMAM), and PSBP-b-PNIPMAM films is investigated under saturated water and mixed water/methanol vapor via advanced in situ neutron/optical characterization techniques. These findings reveal that potassium salts enhance the films' hygroscopicity or methanol-induced swellability.

High-Speed and Low-Energy Resistive Switching with Two-Dimensional Cobalt Phosphorus Trisulfide for Efficient Neuromorphic Computing.

Two-dimensional (2D) materials hold significant potential for the development of neuromorphic computing architectures owing to their exceptional electrical tunability, mechanical flexibility, and compatibility with heterointegration. However, the practical implementation of 2D memristors in neuromorphic computing is often hindered by the challenges of simultaneously achieving low latency and low energy consumption. Here, we demonstrate memristors based on 2D cobalt phosphorus trisulfide (CoPS), which achieve impressive performance metrics including high switching speed (20 ns), low switching energy (1.

Study on the determination method of excitation load in electrical signal simulation for piezoelectric ultrasonic internal inspection of pipelines.

Accurately determining the initial acoustic field excitation load of a piezoelectric ultrasonic probe is essential for simulating electrical signals and calculating wall thickness during ultrasonic internal inspection of pipelines. A new method for determining the initial excitation load of the acoustic field is proposed, incorporating the focusing effect of the curved surface of pipelines on the ultrasonic signal from the piezoelectric ultrasonic probe. Finite element models were established for the new and old methods using COMSOL software, facilitating the analysis of the initial acoustic field distribution and associated electrical signal characteristics.

Calpain 2 promotes Lenvatinib resistance and cancer stem cell traits via both proteolysis-dependent and independent approach in hepatocellular carcinoma.

Lenvatinib, an approved first-line regimen, has been widely applied in hepatocellular carcinoma (HCC). However, clinical response towards Lenvatinib was limited, emphasizing the importance of understanding the underlying mechanism of its resistance. Herein, we employed integrated bioinformatic analysis to identify calpain-2 (CAPN2) as a novel key regulator for Lenvatinib resistance in HCC, and its expression greatly increased in both Lenvatinib-resistant HCC cell lines and clinical samples.

An electrochemiluminescence biosensor based on silver-cysteine nanorod as an emitter and AgNP-decorated FeMoO as a signal amplifier for sensitive detection of heart-type fatty acid binding protein.

An electrochemiluminescence (ECL) immunosensor was developed for the highly sensitive and specific detection of heart-type fatty acid binding protein (H-FABP) and the rapid diagnosis of acute myocardial infarction (AMI). H-FABP is a biomarker that is highly specific to cardiac tissue and is associated with a range of cardiac diseases. Following myocardial injury, the rate of increase in H-FABP levels is greater than that observed for myoglobin and troponin.

Environmental influence on single methylation variation sites (SMVs) in the large yellow croaker (Larimichthys crocea): identification and correlation analysis.

Background: Larimichthys crocea is an important aquaculture species along the southeastern coast of China, with diverse environment and farming practices since artificial breeding, these different aquatic habitats are subject to significant variations in environmental factors that may involve modulation of gene expression through epigenetic mechanisms to enable species to survive and reproduce.

Methods And Results: This study aimed to identify methylation variation sites (SMVs) in different sequence contexts (CG, CHG, and CHH) within populations of L. crocea in different habitats.

Machine Learning Prediction of Early Recurrence in Gastric Cancer: A Nationwide Real-World Study.

Background: Patients with gastric cancer (GC) who experience early recurrence (ER) within 2 years postoperatively have poor prognoses. This study aimed to analyze and predict ER after curative surgery for patients with GC using machine learning (ML) methods.

Patients And Methods: This multicenter population-based cohort study included data from ten large tertiary regional medical centers in China.

Mild Hyperthermia Accelerates Bone Repair by Dynamically Regulating iNOS/Arg1 Balance in the Early Stage.

Mild hyperthermia therapy has garnered interest as an adjunctive treatment for bone repair. However, its optimal timing, duration, and underlying mechanisms remain unclear. In this study, how mild hyperthermia supports bone repair during the early stages is assesed.

A generative adversarial network for multiple reads reconstruction in DNA storage.

DNA storage is widely considered as a promising solution to the data explosion problem. However, the synthesis, PCR and sequencing processes usually result in erroneous reads involving base insertions, deletions, and substitutions. Specially this situation is even more serious in the 3rd generation of sequencing technologies.

A machine learning approach identifies cellular senescence on transcriptome data of human cells in vitro.

Although cellular senescence has been recognized as a hallmark of aging, it is challenging to detect senescence cells (SnCs) due to their high level of heterogeneity at the molecular level. Machine learning (ML) is likely an ideal approach to address this challenge because of its ability to recognize complex patterns that cannot be characterized by one or a few features, from high-dimensional data. To test this, we evaluated the performance of four ML algorithms including support vector machines (SVM), random forest (RF), decision tree (DT), and Soft Independent Modelling of Class Analogy (SIMCA), in distinguishing SnCs from controls based on bulk RNA sequencing data.

Research on the influence of loading rate on the dynamic initiation fracture toughness of CMDB propellant.

In the field of gun launched missile extended range rocket, the propellant grain in the rocket needs to withstand significant launch loads during their firing phase, and also bear the high pressure caused by ignition, and the impact of launch overloads and ignition shocks on the structural integrity of propellants becomes very important. So this work investigated the dynamic initiation fracture toughness of the composite modified double-base (CMDB) propellant by both experiments and numerical simulations. The dynamic mechanical properties test of the cracked straight through flattened Brazilian disc (CSTFBD) specimens were conducted using a modified Split Hopkinson pressure bar (SHPB).

Exploring the impact of fulvic acid and humic acid on heavy metal availability to alfalfa in molybdenum contaminated soil.

Humic substances, such as Fulvic acid (FA) and humic acid (HA), are widely used for the remediation of heavy metal-contaminated soils due to their ability to enhance metal mobility and facilitate plant uptake. In this study, we conducted a pot experiment with alfalfa to investigate the effects of FA and HA amendments on the mobility of molybdenum (Mo) in the soil, its uptake by alfalfa plants, and subsequent changes in the microbial community. The results demonstrated that both FA and HA influence Mo accumulation in the soil and plants.

Identification and analysis of immune cell-related genes in cutaneous squamous cell carcinoma and drug network prediction.

Cutaneous squamous cell carcinoma (CSCC) is a malignant skin tumor characterized by the abnormal proliferation of keratinocytes. Immune cells have a very important role in the development of CSCC. Hence, it was vital to screen the immune cell-related biomarkers for the treatment of CSCC.

First clinical and pedigree study of rare HBB: c.316-90 A > G variant in β-globin gene in Chinese population using third-generation sequencing.

Introduction: β-thalassemia is a common genetic disease mainly caused by point mutations in the β-globin gene, eliciting a high prevalence in South China. The aim of the present study is to identify a rare HBB: c.316-90 A > G variant and provide the clinical and hematological features in two unrelated Chinese families.

HDAC3 inhibitors induce drug resistance by promoting IL-17 A production by T cells.

HDAC3 has been demonstrated to play a crucial role in the progression of various tumors and the differentiation and development of T cells. However, its impact on peripheral T cells in the development of murine lung cancer remains unclear. In this experiment, a subcutaneous lung tumor model was established in C57BL/6 mice, and tumor-bearing mice were treated with the specific inhibitor of HDAC3, RGFP966, at different doses to observe changes in tumor size.

Explainable prediction model for punching shear strength of FRP-RC slabs based on kernel density estimation and XGBoost.

Reinforced concrete (RC) slabs are widely used in modern building structures due to their superior properties and ease of construction. However, their mechanical properties are limited by their punching shear strength in the connection region with the columns. Researchers have attempted to add steel reinforcement in the form of studs and randomly distributed fibers to concrete slabs to improve the punching strength.

Design of multi-innovation hierarchical fractional adaptive algorithm for generalized bilinear-in-parameter system using the key term separation principle.

This paper mainly studies the issue of fractional parameter identification of generalized bilinear-in-parameter system(GBIP) with colored noise. Hierarchical fractional least mean square algorithm based on the key term separation principle(K-HFLMS) and multi-innovation hierarchical fractional least mean square algorithm based on the key term separation principle (K-MHFLMS) are presented for the effective parameter estimation of GBIP system. The K-MHFLMS expands the scalar innovation into the vector innovation by making full use of the system input and output data information at each recursive step.

Mechanical properties and microscopic damage characteristics of coal series limestone under coupling effects of high temperature and impact.

To ensure the safe extraction of deep mineral resources, it is imperative to address the mechanical properties and damage mechanism of coal and rock media under the real-time coupling effect of high temperature and impact. In this study, the impact tests (impact velocities of 6.0-10.