Sensitive Fluorescent Probe for Al, Cr and Fe: Application in Real Water Samples and Logic Gate.

Construction of single probes for simultaneous detection of common trivalent metal ions has attracted much attention due to higher efficiency in analysis and cost. A naphthalimide-based fluorescent probe K1 was synthesized for selective detection of Al, Cr and Fe ions. Fluorescence emission intensity at 534 nm of probe K1 in DMSO/HO (9:1, v/v) was significantly enhanced upon addition of Al, Cr and Fe ions while addition of other metal ions (Li, Na, K, Ag, Cu, Fe, Zn, Co, Ni, Mn, Sr, Hg, Ca, Mg, Ce, Bi and Au) did not bring about substantial change in fluorescence emission.

CRISPR detection of cardiac tumor-associated microRNAs.

As multiple imaging modalities cannot reliably diagnose cardiac tumors, the molecular approach offers alternative ways to detect rare ones. One such molecular approach is CRISPR-based diagnostics (CRISPR-Dx). CRISPR-Dx enables visual readout, portable diagnostics, and rapid and multiplex detection of nucleic acids such as microRNA (miRNA).

Associations of nutritional intake and inflammatory factors with sarcopenia in community-dwelling older adults: a cross-sectional study.

Purpose: Sarcopenia is an age-related disease that is related to nutritional intake and chronic low-grade inflammation. The aim of this study was to investigate the association of dietary intake, inflammatory markers and sarcopenia among the community-dwelling older adults.

Methods: A total of 1001 older adults aged 60 and above were recruited.

Photocatalytic Direct Borylation of Benzothiazole Heterocycles via a Triplet Activation Strategy.

Boron compounds are widely employed in organic chemistry, pharmaceuticals, and materials science. Among them, borylated heterocycles serve as versatile synthons for the construction of new C-C or C-heteroatom bonds via coupling or radical processes. Such methods for direct C-H borylation reactions are of high synthetic value to reduce the number of synthetic steps and the amount of waste and to improve efficiency.

Integrated Network Pharmacology and Metabolomics to Investigate the Effects and Possible Mechanisms of Ginsenoside Rg Glycine Ester Derivative Against Hypoxia.

Previous studies have suggested that ginsenoside Rg glycine ester derivative (RG) exhibits therapeutic potential in mitigating hypoxia. This study aimed to elucidate the potential mechanism of RG in hypoxia injury through a combined approach of metabolomics and network pharmacology. Initially, a CoCl-induced cell hypoxia model was established, and the therapeutic impact of RG on biochemical indices was evaluated.

Analysis of Immunometabolic Profiles in Patients With Chronic Drug-Induced Liver Injury and Validation in Mice to Reveal Potential Mechanisms.

Background: The mechanism underlying chronic drug-induced liver injury (DILI) remains unclear. Immune activation is a common feature of DILI progression and is closely associated with metabolism. We explored the immunometabolic profile of chronic DILI and the potential mechanism of chronic DILI progression.

Comparison of C-Acetate and F-FDG PET/CT for Immune Infiltration and Prognosis in Hepatocellular Carcinoma.

Immunotherapy has revolutionized cancer treatment, making it a challenge to noninvasively monitor immune infiltration. Metabolic reprogramming in cancers, including hepatocellular carcinoma (HCC), is closely linked to immune status. In this study, we aimed to evaluate the ability of carbon-11 acetate (C-acetate) and fluorine-18 fluorodeoxyglucose (F-FDG) PET/CT findings in predicting overall survival (OS) and immune infiltration in HCC patients.

Silencing of the plant-derived horizontally transferred gene BtSC5DL effectively controls Bemisia tabaci MED.

Background: The whitefly Bemisia tabaci is a notorious agricultural pest known for its ability to cause significant crop damage through direct feeding and virus transmission. Its remarkable adaptability and reproductive capacity are linked to its ability to acquire and integrate horizontally transferred genes (HTGs) into its genome. These HTGs increase the physiological and metabolic capacities of this pest, including cholesterol synthesis, which is critical for its survival and reproductive success.

Advanced Polymeric Nanoparticles for Cancer Immunotherapy: Materials Engineering, Immunotherapeutic Mechanism and Clinical Translation.

Cancer immunotherapy, which leverages immune system components to treat malignancies, has emerged as a cornerstone of contemporary therapeutic strategies. Yet, critical concerns about the efficacy and safety of cancer immunotherapies remain formidable. Nanotechnology, especially polymeric nanoparticles (PNPs), offers unparalleled flexibility in manipulation-from the chemical composition and physical properties to the precision control of nanoassemblies.

Co-assemblies of Silver Nanoclusters and Fullerenols With Enhanced Third-Order Nonlinear Optical Response.

Exploring potential third-order nonlinear optical (NLO) materials attracts ever-increasing attention. Given that the atomically precise and rich adjustable structural features of silver nanoclusters (Ag NCs), as well as the unique π-electron conjugated system of carbon-based nanomaterials, a supramolecular co-assembly amplification strategy to enhance the luminescent intensity and NLO performance of the hybrids of the two components, are constructed and the relationship between structures and optical properties are investigated. By combining water soluble Ag NCs [(NH)[Ag(mna)] (Hmna = 2-mercaptonicotinic acid, abbreviated to Ag─NCs hereafter) containing uncoordinated carboxyl groups with water-soluble fullerene derivatives modified with multiple hydroxyl groups (fullerenols, C─OH), the π-electron delocalization is expanded owing to non-covalent hydrogen bonding effect between Ag6─NCs and C─OH, which provides a feasible basis for realizing the NLO response.

YOLOv8-LCNET: An Improved YOLOv8 Automatic Crater Detection Algorithm and Application in the Chang'e-6 Landing Area.

The Chang'e-6 (CE-6) landing area on the far side of the Moon is located in the southern part of the Apollo basin within the South Pole-Aitken (SPA) basin. The statistical analysis of impact craters in this region is crucial for ensuring a safe landing and supporting geological research. Aiming at existing impact crater identification problems such as complex background, low identification accuracy, and high computational costs, an efficient impact crater automatic detection model named YOLOv8-LCNET (YOLOv8-Lunar Crater Net) based on the YOLOv8 network is proposed.

An Attention-Based Multidimensional Fault Information Sharing Framework for Bearing Fault Diagnosis.

Deep learning has performed well in feature extraction and pattern recognition and has been widely studied in the field of fault diagnosis. However, in practical engineering applications, the lack of sample size limits the potential of deep learning in fault diagnosis. Moreover, in engineering practice, it is usually necessary to obtain multidimensional fault information (such as fault localization and quantification), while current methods mostly only provide single-dimensional information.

A Survey of Deep Anomaly Detection in Multivariate Time Series: Taxonomy, Applications, and Directions.

Multivariate time series anomaly detection (MTSAD) can effectively identify and analyze anomalous behavior in complex systems, which is particularly important in fields such as financial monitoring, industrial equipment fault detection, and cybersecurity. MTSAD requires simultaneously analyze temporal dependencies and inter-variable relationships have prompted researchers to develop specialized deep learning models to detect anomalous patterns. In this paper, we conducted a structured and comprehensive overview of the latest techniques in deep learning for multivariate time series anomaly detection methods.

Novel Design on Knee Exoskeleton with Compliant Actuator for Post-Stroke Rehabilitation.

Knee joint disorders pose a significant and growing challenge to global healthcare systems. Recent advancements in robotics, sensing technologies, and artificial intelligence have driven the development of robot-assisted therapies, reducing the physical burden on therapists and improving rehabilitation outcomes. This study presents a novel knee exoskeleton designed for safe and adaptive rehabilitation, specifically targeting bed-bound stroke patients to enable early intervention.

Study on the Mechanism of Energy Dissipation in Hemispherical Resonator Gyroscope.

The hemispherical resonator gyroscope is a gyroscope based on the principle of Coriolis vibration, widely used in inertial measurement systems of spacecraft. This article decomposes the gyroscope into two parts: the resonator shell and the gyroscope head, establishes the energy dissipation mechanism of the gyroscope, and conducts experimental verification. Firstly, based on the working principle of the gyroscope, a mechanical analysis model of the hemispherical resonator gyroscope head with a resonator spherical shell containing quality defects under second-order vibration state was established.

Neural Mass Modeling in the Cortical Motor Area and the Mechanism of Alpha Rhythm Changes.

Investigating the physiological mechanisms in the motor cortex during rehabilitation exercises is crucial for assessing stroke patients' progress. This study developed a single-channel Jansen neural mass model to explore the relationship between model parameters and motor cortex mechanisms. Firstly, EEG signals were recorded from 11 healthy participants under 20%, 40%, and 60% maximum voluntary contraction, and alpha rhythm power spectral density characteristics were extracted using the Welch power spectrum method.

A Novel Real-Time Threshold Algorithm for Closed-Loop Epilepsy Detection and Stimulation System.

Epilepsy, as a common brain disease, causes great pain and stress to patients around the world. At present, the main treatment methods are drug, surgical, and electrical stimulation therapies. Electrical stimulation has recently emerged as an alternative treatment for reducing symptomatic seizures.

Anomalous Node Detection in Blockchain Networks Based on Graph Neural Networks.

With the rapid development of blockchain technology, fraudulent activities have significantly increased, posing a major threat to the personal assets of blockchain users. The blockchain transaction network formed during user transactions can be represented as a graph consisting of nodes and edges, making it suitable for a graph data structure. Fraudulent nodes in the transaction network are referred to as anomalous nodes.

Berk Alleviated Atherosclerosis Symptoms via Nuclear Factor-Kappa B-Mediated Inflammatory Response in ApoE Mice.

Background: Atherosclerosis, a persistent inflammatory disease marked by the presence of atherosclerotic plaques or fibrous plaques, is a significant contributor to the onset of the development of cardiovascular disease. Berk contains various active ingredients that have anti-inflammatory, antioxidant, and hypolipidemic properties. Nevertheless, the potential effects of on atherosclerosis have not been systematically reported.

Epigenetic Modulation with 5-Aza-CdR Prevents Metabolic-Associated Fatty Liver Disease Promoted by Maternal Overnutrition.

Background/objectives: This study builds on previous findings from mouse models, which showed that maternal overnutrition induced by a high-fat diet (HFD) promotes metabolic-associated fatty liver disease (MAFLD) in offspring, linked to global DNA hypermethylation. We explored whether epigenetic modulation with 5-Aza-CdR, a DNA methylation inhibitor, could prevent MAFLD in offspring exposed to maternal overnutrition.

Methods: The offspring mice from dams of maternal overnutrition were fed either a chow diet or a high-fat diet (HFD) for 10 weeks.

The Physical Developmental Characterization of Children with Nutritional Deficiencies and Attributed Specific Categories.

Background: There are few studies examining the physical developmental phenotypes of nutritional deficiency diseases (NDDs) among Chinese children aged 1-7 years by anthropometrics and clarifying the specific NDD categories that caused growth faltering.

Methods: A total of 3054 cases of NDDs in children aged 1-7 years were investigated. The age, height, and weight of children with NDDs were adjusted by using the skewness coefficient-median-coefficient of variation method, and the results were compared with the WHO standardized level.

Unveiling the Texture Secrets of Germplasm: Advanced Grading and Quality Assessment Through Texture Profile Analysis (TPA).

is an edible mushroom with medical applciations. To explore the correlation between the texture indices of and to establish a sensory quality evaluation system, the texture quality characteristics of 214 germplasm resources from our country were analyzed via the Texture Profile Analysis (TPA) method on a texture analyzer. The research revealed significant differences in the texture quality characteristics of both the pileus and stipe among populations.

Soy Protein Isolate Improved the Properties of Fish Oil-Loaded Chitosan-Sodium Tripolyphosphate Capsules.

In this paper, the effect of soybean isolate protein (SPI) content on the physicochemical properties and oxidative stability of chitosan-sodium tripolyphosphate (CS-STPP)-loaded fish oil capsules was investigated. The SPI/CS-STTP capsules formed after the addition of different amounts of SPI were larger in size and more homogeneous in morphology than the CS-STPP capsules, and the SPI was encapsulated on the surface of the CS matrix, altering the surface properties and morphology of the particles. The study of different CS-to-SPI blend ratios (1:0, 3:1, 2:1, 1:1, 1:2) showed that the water content of the microcapsules increased from 49.

Influence of Heat- and Cold-Stressed Raw Milk on the Stability of UHT Milk.

This study investigated the variations and alterations in the concentrations of plasmin system components in raw and UHT (ultra-high-temperature) milk under cold stress (WCT ≤ -25 °C), heat stress (THI ≥ 80), and normal (THI < 70 and WCT ≥ -10 °C) circumstances. The findings indicated elevated amounts of plasmin system components in cold-stressed raw milk. While storing UHT milk at 25 °C, the concentrations and activity of plasmin in the milk exhibited an initial increase followed by a decrease, peaking around the 30th day.