Design of a Dual-Band Low-Noise Amplifier with a Novel Matching Structure.

This paper proposes a method for designing a dual-band low-noise amplifier (DB-LNA) using a new improved complex impedance dual-band transformer (IDBT). This complex IDBT is composed of parallel-coupled lines and two sections of series microstrip lines. The parallel-coupled lines are used to complete the transformation from complex impedances at two different frequencies to a pair of conjugate complex impedances, meanwhile eliminating the need for DC blocking capacitors.

A Real-Time Mature Hawthorn Detection Network Based on Lightweight Hybrid Convolutions for Harvesting Robots.

Accurate real-time detection of hawthorn by vision systems is a fundamental prerequisite for automated harvesting. This study addresses the challenges in hawthorn orchards-including target overlap, leaf occlusion, and environmental variations-which lead to compromised detection accuracy, high computational resource demands, and poor real-time performance in existing methods. To overcome these limitations, we propose YOLO-DCL (group shuffling convolution and coordinate attention integrated with a lightweight head based on YOLOv8n), a novel lightweight hawthorn detection model.

Screening and Phenotyping of Lactic Acid Bacteria in Boza.

The aim of this study was to isolate and identify lactic acid bacteria (LAB) from a traditional fermented beverage, Boza, and to conduct an in-depth study on their fermentation and probiotic properties. The fermentation (acid production rate, acid tolerance, salt tolerance, amino acid decarboxylase activity) and probiotic properties (gastrointestinal tolerance, bile salt tolerance, hydrophobicity, self-aggregation, drug resistance, bacteriostatic properties) of the 16 isolated LAB were systematically analyzed by morphological, physiological, and biochemical tests and 16S rDNA molecular biology. This analysis utilized principal component analysis (PCA) to comprehensively evaluate the biological properties of the strains.

The impact of occupational psychological stress on the subjective well-being of police: mechanisms and interventions.

Background: While research has confirmed that occupational psychological stress has a negative impact on subjective well-being, no study has yet explored the specific occupational group of frontline police officers.

Methods: This study used a questionnaire to explore the effects of occupational psychological stress on the subjective well-being of police and to explore the psychological mechanisms and boundary conditions of this process. Then, using the gathered data, an intervention program was developed to be used to improve police officers' sense of subjective well-being.

A Recognition Method for Marigold Picking Points Based on the Lightweight SCS-YOLO-Seg Model.

Accurate identification of picking points remains a critical challenge for automated marigold harvesting, primarily due to complex backgrounds and significant pose variations of the flowers. To overcome this challenge, this study proposes SCS-YOLO-Seg, a novel method based on a lightweight segmentation model. The approach enhances the baseline YOLOv8n-seg architecture by replacing its backbone with StarNet and introducing C2f-Star, a novel lightweight feature extraction module.

Comparative transcriptome analysis reveals the function of SoCER4 in alkanol synthesis in sugarcane.

The wax of sugarcane buds, especially alkanol, was correlated to sugarcane smut resistance in previous studies. Moreover, alkanol could induce smut teliospore germination. This study aimed to analyze wax-related genes in sugarcane buds.

Defect-Engineered Zr-TCPE Coupled with a Target-Oligonucleotide-Driven DNAzyme Motor for Ultrasensitive Patulin Detection in Apple Juice.

Patulin (PAT) is a mycotoxin with immunotoxicity, genotoxicity, and neurotoxicity, so effective methods are needed for its detection. Fluorescence aptasensors provide a homogeneous detection method, but their sensitivity needs to be further improved. Herein, we developed a fluorescence aptasensor based on a target-oligonucleotide-driven DNAzyme motor and defective Zr-TCPE for PAT detection.

Assessment of Ecological Quality Status in Shellfish Farms in South Korea Using Multiple Benthic Indices.

South Korea is one of the world's major centers for marine shellfish aquaculture. Since the industry's rapid expansion began in the 1980s, concerns have grown regarding its environmental impacts on coastal marine ecosystems. Evaluating the benthic ecological quality status (EcoQs) of shellfish farms using benthic indices provides a scientific foundation for the sustainable management of aquaculture areas.

Characterization and regional variations in the mineralogical maturity of aeolian sands in northern China.

The influences of climate and provenance on desert sediments are an important part of desert research. There are 11 major deserts across northern China, with a total area of 80.89 × 10 km.

Deep learning algorithm-assisted non-destructive detection of TBARS values of salmon flesh using multi-modal molecular spectra fusion.

This study presents a deep learning framework for the non-destructive assessment of lipid oxidation in salmon flesh, quantified by thiobarbituric acid reactive substances (TBARS), under diverse storage conditions (-20, 0, 4, 20 °C, and dynamic temperatures). By integrating multi-modal molecular spectroscopy (near-infrared and Raman) with a convolutional neural network (CNN), the research achieved enhanced accuracy in predicting TBARS values compared to partial least squares regression (PLSR) and long short-term memory (LSTM) models. The CNN achieved superior performance with Rₚ = 0.

Potential of solar-induced chlorophyll fluorescence for monitoring long-term dynamics of soil salinity in Central Asia the Xinjiang Region China.

Introduction: Soil salinization in Central Asia and Xinjiang, China, poses serious threats to agriculture and ecosystems. Solar-induced chlorophyll fluorescence (SIF), which reflects plant photosynthetic status and stress, shows promise for monitoring salinity but remains underutilized in this region.

Methods: This study integrated SIF-derived indices (SIFI) with soil salinity data to build a region-specific prediction model.

A smartphone-assisted ratiometric fluorescence and colorimetric detection of nitrite based on 2, 3-diaminonaphthalene and gold nanoclusters paper strip.

A smartphone-assisted fluorescent and colorimetric detection method for nitrite based on 2,3-diaminonaphthalene (DAN) and gold nanoclusters (AuNCs) paper strip was developed. DAN reacts with NO via a coupling reaction under acidic conditions to generate naphthotriazole (NAT), emitting strong blue fluorescence at 435 nm. The red fluorescence of AuNCs at 650 nm is quenched by the reduction of nitrite.

Velefibrinase: A Marine-Derived Fibrinolytic Enzyme with Multi-Target Antithrombotic Effects Across Diverse In Vivo Models.

Thrombotic diseases (TDs), currently the number one killer worldwide, account for the highest mortality rate globally. In this study, we evaluated the antithrombotic efficacy of Velefibrinase, a marine bacteria-derived fibrinolytic enzyme, across multiple animal models. The results demonstrated that Velefibrinase prolonged bleeding time (BT) and clotting time (CT), reduced mortality and thrombosis, relieved pulmonary alveolar structure degeneration in an acute pulmonary thromboembolism model, and inhibited carotid artery thrombosis and endothelial tissue damage in a rat model of FeCl-induced carotid arterial thrombosis.

Complexity analysis of a closed-loop supply chain for power battery recycling under government subsidies.

Considering government subsidies for new energy electric vehicle manufacturers, the study will construct a static game model to analyze the optimal strategies of decision-makers from the perspectives of manufacturers and retailers. It will analysis the impact of key model parameters such as government subsidy criteria, the fund returns rate and market size on optimal strategy selection. Additionally, a dynamic game model will be developed to investigate the complex behavior characteristics of decision-makers, as well as the influence of different behaviors on their complex benefits.

Simultaneous detection of Cu and Cu using dual-functionalized glass micropipette sensors.

Copper ions (Cu and Cu) paly essential roles in physiological processes, and their imbalance is associated with disease progression. However, the simultaneous detection of both oxidation states remains challenging due to their similar physicochemical properties. Herein, we present a dual-functionalized glass micropipette sensor that independently detects Cu and Cu.

Extraction, Purification, Component Analysis and Bioactivity of Polyphenols from L.

L., is a species of traditional Chinese medicine herbs, widely distributed northwestern China and used as antidiabetic, antibacterial etc., but the active compounds and their abundance have not been systematically investigated.

Design, Synthesis, Biological Evaluation, and In Silico Study of Aspirin-Sulfonamide Hybrids as Potential Anticancer Agents.

Aspirin's potential as a cancer treatment had garnered significant attention over the past 50 years. Presently, researchers are focused on structurally modifying aspirin to enhance its anticancer efficacy. In this study, aspirin was employed as the parent compound, and N-acylation of aspirin chloride with piperazine-sulfonamide hybrids was utilized to efficiently synthesize promising anticancer agents 3.

Integrated analysis of transcriptome, small RNA, and degradome sequencing provides insights into mango anthracnose resistance.

Mango anthracnose is a major biotic stress that limits mango production worldwide. An integrated transcriptome, small RNA (sRNA), and degradome sequencing analysis was conducted to determine the complex molecular mechanisms of mango anthracnose resistance. The transcriptome sequencing of 12 samples from a mango anthracnose resistant genotype under control and stress conditions on the 3rd and 5th day post inoculation identified 3,462 and 8,341 differentially expressed genes (DEGs), respectively, which were mainly involved in transcription factor activity, defense response, an obsolete oxidation - reduction process, and flavonoid biosynthetic processes.

Bacillus amyloliquefaciens XJ-BV2007 produces lipopetides that significantly inhibit Alternaria alternata and tenuazonic acid accumulation in processing tomatoes.

Black spot disease in tomatoes, caused by Alternaria sp, results in the contamination of the tomatoes with Alternaria mycotoxins, especially tenuazonic acid (TeA). In this regard, TeA accumulation in processing tomatoes and their derived food products represent a serious health hazard. In this regard, our previous study provided evidence that lipopeptides produced by Bacillus amyloliquefaciens XJ-BV2007 effectively inhibit A.

Low Dielectric and High Thermal Conductive Phononic Crystal Nanofiber Metamaterial Film.

The rapid advancement of 3D heterogeneous integration technology has created stringent requirements for the thermal conductivity of low dielectric materials. However, common low dielectric materials generally have low thermal conductivity, which hinders the ability to simultaneously optimize signal transmission and heat dissipation in integrated systems. Here, a crystallization control strategy is proposed to tackle the challenge of balancing high thermal conductivity with a low dielectric constant.

Research on detection and location method of safflower filament picking points during the blooming period in unstructured environments.

To address the challenges encountered by safflower filament harvesting robots in detecting and localizing harvesting points in unstructured environments, this study proposes a harvesting point detection and localization model based on the DSOE (Detect-Segment-OpenCV Extraction) method, integrated with a localization system using a depth camera. Firstly, the YOLO-SaFi model was employed to optimize the classification of a safflower filament dataset, identifying harvestable safflower filaments for further study. Secondly, a novel lightweight segmentation detection head (LSDH) was introduced, based on the YOLO-SaFi model, to efficiently segment safflower filaments and fruit balls.

Design and optimization of a negative pressure rotary cutting safflower filaments harvesting device.

During the safflower filament harvesting process, the harvesting device plays a pivotal role in determining overall efficiency. This study addresses the current challenges in harvesting devices, such as their bulky structure and the poor cutting efficiency of the blades, by developing a bio-inspired harvesting blade modeled after the pharyngeal teeth of the grass carp. By focusing on the structure of the pharyngeal teeth of the grass carp, digital image processing techniques were employed to extract its geometric features.

Constructing Stable Bifunctional Electrocatalyst of Co─CoNbO with Reversible Interface Reconstitution Ability for Sustainable Zn-Air Batteries.

Transition metal and metal oxide heterojunctions have been widely studied as bifunctional oxygen reduction/evolution reaction (ORR/OER) electrocatalysts for Zn-air batteries, but the dynamic changes of transition metal oxides and the interface during catalysis are still unclear. Here, bifunctional electrocatalyst of Co─CoNbO is reported, containing lattice interlocked Co nanodots and CoNbO nanorods, which construct a strong metal-support interaction (SMSI) interface. Unlike the recognition that transition metals mainly serve as ORR active sites and metal oxides as OER active sites, it is found that both ORR/OER sites originate from CoNbO, while Co acts as an electronic regulatory unit.

Structures and properties of Ca-Xe compounds at extreme pressure and temperature.

Calcium, one of the most abundant elements in the Earth's mantle, does not react easily with noble gases (e.g., He and Xe) under ambient conditions.

Constructing a Dielectric Fluorinated Solid Electrolyte for Practically Operated All-Solid-State Lithium-Metal Batteries.

The operation of all-solid-state lithium-metal batteries is primarily constrained by an inferior solid electrolyte. Here, we employ a porous dielectric fluorinated electrolyte to encapsulate a Li complex, achieving rapid and stable ion conduction throughout cycling. The electrolyte comprises a porous nanofiber (NF) skeleton made of dielectric fluorinated BaTiO (F-BaTiO) and all-trans block copolymer PVDF--PTFE, with an encapsulated poly(ethylene oxide) (PEO)-LiTFSI filler.