A Lipidomic Study to Identify the Serum Lipid Markers for Obstetric Antiphospholipid Syndrome.

This study used untargeted lipidomics to analyze the characteristics of lipid metabolism in the serum of women with antiphospholipid syndrome. Twenty female patients with APS and 20 healthy controls were recruited to this study. Untargeted lipidomics with liquid chromatography-tandem mass spectrometry was used to profile serum lipids.

Transformation-Invariant Laplacian Metadevices Robust to Environmental Variation.

As one of the typical applications of metamaterials, the invisibility cloak has raised vast research interests. After many years' research efforts, the invisibility cloak has extended its applicability from optics and acoustics to electrostatics and thermal diffusion. One scientific challenge that has significantly restricted the practical application of the invisibility cloak is the strong background dependence, that is, all passive cloaking devices realized thus far are unable to resist variation in the background refractive index.

Orthorhombic Covalent Organic Frameworks with fmj Topology as Photocatalyst for Hydrogen Evolution.

Three-dimensional covalent organic frameworks (3D COFs), a class of highly porous crystalline polymers, have exhibited great potentials in many applications. However, the reported topologies of 3D COFs have been limited to high-symmetry crystal systems, which significantly hindered the development of such functional materials. Herein, we demonstrate the first construction of four highly crystalline orthorhombic 3D COFs with an unprecedented fmj topology, based on judiciously choosing rotatable monomers.

Corrigendum: Characterization of expression in mouse cochlear hair cells.

[This corrects the article DOI: 10.3389/fgene.2021.

Empowering data-driven load forecasting by leveraging long short-term memory recurrent neural networks.

The integration of renewable energy sources has resulted in an increasing intricacy in the functioning and organization of power systems. Accurate load forecasting, particularly taking into account dynamic factors like as climatic and socioeconomic impacts, is essential for effective management. Conventional statistical analysis and machine learning methods struggle with accurately capturing the intricate temporal relationships present in load data.

Clinical management and nursing care for patients with tracheostomy following traumatic brain injury.

Tracheostomy is a routine surgical procedure in patients with severe traumatic brain injury, which requires mechanical ventilation to maintain gas exchange and avoid hypoxemia. Inadequate tracheostomy timing, nursing care, and decannulation would lead to a series of complications, such as aggravated pneumonia and prolonged intubation. The effects of early tracheostomy versus late tracheostomy have been explored.

Research Progress and Perspectives on Anti-Poisoning Hydrogen Oxidation Reaction Electrocatalysts for Hydrogen Fuel Cells.

As global demand for clean and sustainable energy continues to rise, fuel cell technology has seen rapid advancement. However, the presence of trace impurities like carbon monoxide (CO) and hydrogen sulfide (H₂S) in hydrogen fuel can significantly deactivate the anode by blocking its active sites, leading to reduced performance. Developing electrocatalysts that are resistant to CO and H₂S poisoning has therefore become a critical priority.

Multifaceted roles of IL-17 in bone and tendon health.

The interleukin-17 (IL-17) family, encompassing IL-17A to IL-17F, plays pivotal roles across various biomedical fields. IL-17A, a prominent cytokine, has garnered significant attention. However, the pathological effects of IL-17 can often be unpredictable.

Acquisition and transcriptomic analysis of tissue micro-regions using a capillary-based method.

Profiling the site-specific transcriptomes of microregions of interest (mROIs) contributes to a complete understanding of multicellular organisms. However, the simple and efficient isolation of mROIs for spatially detecting gene expression remains challenging. Here, we develop an efficient capillary-based microdissection system (CMS) for precisely isolating targeted samples from tissue sections.

The effectiveness of randomized controlled psychosocial interventions on body image among nonclinical women: A systematic review and meta-analysis.

Women are vulnerable to body image disturbances, prompting numerous interventions to improve their body image. However, a systematic review and meta-analysis of such interventions is lacking. This study reviewed interventions designed to enhance body image among nonclinical women and quantified their effectiveness.

Unipolar Barrier Photodetectors Based on Van Der Waals Heterostructure with Ultra-High Light On/Off Ratio and Fast Speed.

Unipolar barrier architecture is designed to enhance the photodetector's sensitivity by inducing highly asymmetrical barriers, a higher barrier for blocking majority carriers to depressing dark current, and a low minority carrier barrier without impeding the photocurrent flow through the channel. Depressed dark current without block photocurrent is highly desired for uncooled Long-wave infrared (LWIR) photodetection, which can enhance the sensitivity of the photodetector. Here, an excellent unipolar barrier photodetector based on multi-layer (ML) graphene (G) is developed, WSe, and PtSe (G-WSe-PtSe) van der Waals (vdW) heterostructure, in which extremely low dark current of 1.

Mediators of the association between nut consumption and cardiovascular diseases: a two-step mendelian randomization study.

Previous observational studies have reported inconsistent associations between nut consumption and cardiovascular diseases (CVD). This study aims to identify the causal relationship between different types of nuts consumption and CVD, and to quantify the potential mediating effects of cardiometabolic factors. We utilized Genome-Wide Association Study (GWAS) data to assess the causal effects of nut consumption on CVD using two-sample Mendelian randomization (MR) and a two-step MR analysis.

Visualized neural network-based vibration control for pigeon-like flexible flapping wings.

This study investigates pigeon-like flexible flapping wings, which are known for their low energy consumption, high flexibility, and lightweight design. However, such flexible flapping wing systems are prone to deformation and vibration during flight, leading to performance degradation. It is thus necessary to design a control method to effectively manage the vibration of flexible wings.

Childhood irritability-aggression profiles and parent-to-child violence: Evidence of interactive effect in predicting youth violence.

Objective: Early irritability, aggression, and parent-to-child violence (PCV) each are presumed to predict later violent behavior. Few studies, however, have examined these factors simultaneously. This study investigated how irritability and aggression jointly manifested during childhood and whether such manifestations, PCV, and their interactions were associated with late-adolescent violence.

Nebulized Lipid Nanoparticles Based on Degradable Ionizable Glycerolipid for Potent Pulmonary mRNA Delivery.

As an advanced nucleic acid therapeutical modality, mRNA can express any type of protein in principle and thus holds great potential to prevent and treat various diseases. Despite the success in COVID-19 mRNA vaccines, direct local delivery of mRNA into the lung by inhalation would greatly reinforce the treatment of pulmonary pathogens and diseases. Herein, we developed lipid nanoparticles (LNPs) from degradable ionizable glycerolipids for potent pulmonary mRNA delivery via nebulization.

A fast parameter estimation method for high-frequency oscillation based on empirical wavelet transform and moving least square.

In renewable power systems, the interaction between generators, power electronic devices, and the grid has led to frequent high-frequency oscillation (HFO) events. These events can result in significant generation losses and pose serious threats to system stability. Therefore, the rapid and accurate HFO parameter estimation is crucial for early warning and effective mitigation of HFO.

Gene-level analysis reveals the genetic aetiology and therapeutic targets of schizophrenia.

Genome-wide association studies (GWASs) have reported multiple risk loci for schizophrenia (SCZ). However, the majority of the associations were from populations of European ancestry. Here we conducted a large-scale GWAS in Eastern Asian populations (29,519 cases and 44,392 controls) and identified ten Eastern Asian-specific risk loci, two of which have not been previously reported.

Radiomics and Deep Learning Model for Benign and Malignant Soft Tissue Tumors Differentiation of Extremities and Trunk.

Rationale And Objectives: To develop radiomics and deep learning models for differentiating malignant and benign soft tissue tumors (STTs) preoperatively based on fat saturation T2-weighted imaging (FS-T2WI) of patients.

Materials And Methods: Data of 115 patients with STTs of extremities and trunk were collected from our hospital as the training set, and data of other 70 patients were collected from another center as the external validation set. Outlined Regions of interest included the intratumor and the peritumor region extending outward by 5 mm, then the corresponding radiomics features were extracted respectively.

Copper exposure induces neurotoxicity through ferroptosis in C. elegans.

Copper, as a vital trace element and ubiquitous environmental pollutant, exhibits a positive correlation with the neurodegenerative diseases. Recent studies have highlighted ferroptosis's significance in heavy metal-induced neurodegenerative diseases, yet its role in copper-related neurotoxicity remains unclear. This study aimed to investigate the role of ferroptosis in copper-induced neurotoxicity.

Hybrid polysaccharide film infused with polyoxometalates for inkless printing and solar ultraviolet sensing.

Inkless paper made from photochromic materials has garnered significant interest owing to its potential to reduce both ink and paper pollution during production. In this research, we synthesized a dual-material film (EC-PVP/PGMEA/PMoA) and conducted a detailed investigation of its photochromic response to visible light and its microstructural properties. Initially, the film appeared as a translucent yellow, but upon exposure to visible light, it shifted to blue with a maximum absorption peak of 2.

Evolution modeling and control of networked dynamic games with event-triggering mechanism.

This paper mainly focuses on investigating the discrete event dynamic decision-making process with two noncooperative intelligent agents, defined as event dynamic games (EDGs). We introduce a novel state space model and analyze the existence of its equilibrium solution. Additionally, we apply principles of network evolution to address the challenge of event dynamic game network modeling.

R(3780) Resonance Interpreted as the 1^{3}D_{1}-Wave Dominant State of Charmonium from Precise Measurements of the Cross Section of e^{+}e^{-}→Hadrons.

We report the precise measurements of the cross section of e^{+}e^{-}→hadrons at center-of-mass energies from 3.645 to 3.871 GeV.

Flexible Passive Wireless Sensing Platform with Frequency Mapping and Multimodal Fusion.

As one of the core parts of the Internet-of-things (IOTs), multimodal sensors have exhibited great advantages in fields such as human-machine interaction, electronic skin, and environmental monitoring. However, current multimodal sensors substantially introduce a bloated equipment architecture and a complicated decoupling mechanism. In this work we propose a multimodal fusion sensing platform based on a power-dependent piecewise linear decoupling mechanism, allowing four parameters to be perceived and decoded from the passive wireless single component, which greatly broadens the configurable freedom of a sensor in the IOT.

Use of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined With Serum Carcinoembryonic Antigen and Carbohydrate Antigen 19-9 in Predicting Colorectal Cancer Liver Metastasis.

Background: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) combined with serum carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) levels to evaluate the efficacy of colorectal cancer liver metastasis (CRCLM) treatment is still rare.

Purpose: To investigate the predictive value of DCE-MRI combined with serum CEA and CA 19-9 concerning the efficacy of comprehensive treatment for CRCLM.

Materials And Methods: A total of 120 patients with CRC were retrospectively recruited using convenience sampling between May 2019 and March 2024.