Construction of indicator system of tourism professional skills evaluation system in the application-oriented Universities - A case study in Fujian, China.

This study aims to establish a "Tourism Professional Skills Evaluation System in Application-Oriented Universities" to bridge the gap between industry requirements and traditional curricula. In response to the tourism sector's rapid growth and shifting market demands, this study employ the Modified Delphi Method (MDM) and Analytic Hierarchy Process (AHP) to identify and weight five core competency domains: basic professional knowledge and skills, professional related knowledge and skills, interpersonal and self-development skills, physical fitness, as well as cultural and ethical rule of ethics qualities. Through expert panels and group discussions, this study develops a comprehensive set of indicators covering all essential competencies.

A review of visual perception technology for intelligent fruit harvesting robots.

With the development of smart agriculture, fruit picking robots have attracted widespread attention as one of the key technologies to improve agricultural productivity. Visual perception technology plays a crucial role in fruit picking robots, involving precise fruit identification, localization, and grasping operations. This paper reviews the research progress in the visual perception technology for fruit picking robots, focusing on key technologies such as camera types used in picking robots, object detection techniques, picking point recognition and localization, active vision, and visual servoing.

Overexpression of Ent-Kaurene Synthase Genes Enhances Gibberellic Acid Biosynthesis and Improves Salt Tolerance in (Wall.) Lindl.

: (Wall.) Lindl. () was widely used in traditional Chinese medicine and also as a health food in China.

Adaptive Differentiated Parrot Optimization: A Multi-Strategy Enhanced Algorithm for Global Optimization with Wind Power Forecasting Applications.

The Parrot Optimization Algorithm (PO) represents a contemporary nature-inspired metaheuristic technique formulated through observations of Pyrrhura Molinae parrot behavioral patterns. PO exhibits effective optimization capabilities by achieving equilibrium between exploration and exploitation phases through mimicking foraging behaviors and social interactions. Nevertheless, during iterative progression, the algorithm encounters significant obstacles in preserving population diversity and experiences declining search effectiveness, resulting in early convergence and diminished capacity to identify optimal solutions within intricate optimization landscapes.

An Improved Elk Herd Optimization Algorithm for Maximum Power Point Tracking in Photovoltaic Systems Under Partial Shading Conditions.

In partial shading conditions (PSCs), the power-voltage characteristics of photovoltaic systems exhibit multiple peaks, causing traditional maximum power point tracking (MPPT) algorithms to easily become trapped in local optima and fail to achieve global maximum power point tracking, thereby reducing energy conversion efficiency. Effectively and rapidly locating the global maximum power under complex environmental conditions has become crucial for enhancing MPPT performance in photovoltaic systems. This paper therefore proposes an improved elk herd optimization (IEHO) algorithm to achieve the rapid tracking of the global maximum power point under various weather conditions.

Multiplex aggregation combining sample reweight composite network for pathology image segmentation.

In digital pathology, nuclei segmentation is a critical task for pathological image analysis, holding significant importance for diagnosis and research. However, challenges such as blurred boundaries between nuclei and background regions, domain shifts between pathological images, and uneven distribution of nuclei pose significant obstacles to segmentation tasks. To address these issues, we propose an innovative Causal inference inspired Diversified aggregation convolution Network named CDNet, which integrates a Diversified Aggregation Convolution (DAC), a Causal Inference Module (CIM) based on causal discovery principles, and a comprehensive loss function.

Treatment of cadmium and lead ions from aqueous media and battery factory wastewater using a magnetic carboxymethyl cellulose/tea waste biochar/CoFe₂O₄/ZIF-67 composite bioaerogel.

A novel magnetic bioaerogel composite, CMCB@TWBM/ZIF-67, was synthesized by combining carboxymethyl cellulose (CMC), tea waste biochar modified with cobalt ferrite (TWBM), and ZIF-67, creating a functional material for effective heavy metal removal from water. Comprehensive characterization by FTIR, XRD, SEM, BET, and VSM confirmed its hierarchical porous structure (25.7 m/g) and good magnetic properties (9.

Association between changes in sleep duration and the risk of incident depressive symptoms among Chinese middle-aged and older adults.

Background: Although insufficient sleep is a known risk factor for depressive symptoms among middle-aged and older adults, prior studies have mostly focused on baseline sleep duration. This study investigates the association between changes in sleep duration and the risk of incident depressive symptoms in this population.

Methods: This study utilized data from the China Health and Retirement Longitudinal Survey (CHARLS), covering waves from 2011 to 2018.

Motivation and physical activity across Chinese adolescents: Based on latent profile analysis.

Despite known links between motivation and physical activity, latent profiles of motivation among Chinese adolescents remain unexamined. Using the person-centered approach, this paper explores the relationship between adolescent motivation and physical activity. We aim to identify the latent motivation profiles and examine how these profiles differential predict physical activity (PA) levels, with attention to gender and age variations.

ACIVY: An Enhanced IVY Optimization Algorithm with Adaptive Cross Strategies for Complex Engineering Design and UAV Navigation.

The Adaptive Cross Ivy (ACIVY) algorithm is a novel bio-inspired metaheuristic that emulates ivy plant growth behaviors for complex optimization problems. While the original Ivy Optimization Algorithm (IVYA) demonstrates a competitive performance, it suffers from limited inter-individual information exchange, inadequate directional guidance for local optima escape, and abrupt exploration-exploitation transitions. To address these limitations, ACIVY integrates three strategic enhancements: the crisscross strategy, enabling horizontal and vertical crossover operations for improved population diversity; the LightTrack strategy, incorporating positional memory and repulsion mechanisms for effective local optima escape; and the Top-Guided Adaptive Mutation strategy, implementing ranking-based mutation with dynamic selection pools for smooth exploration-exploitation balance.

Integrating mindfulness and physical activity: a meta-analysis of mindful movement interventions for symptoms of anxiety and depression among university students.

Background: University students are increasingly vulnerable to mental health problems, such as anxiety and depression, which have been associated with academic stress, job market uncertainty, and lifestyle-related factors such as physical inactivity and poor sleep habits. Mindful movement, defined as structured programs integrating mindfulness practice with physical movement, offers a holistic approach to reducing anxiety and depression, though its effectiveness and specific intervention differences-such as duration, delivery mode, and behavior change techniques-remain underexplored. This study evaluated the effects of mindful movement interventions on anxiety and depression among university students.

Research on visual design of urban multimedia portal.

In the digital multimedia era, city portal websites significantly impacted urban identity representation. This study addresses the complex challenge of selecting color schemes that authentically reflect cities' unique characteristics. We developed a decision model integrating Fuzzy Analytic Hierarchy Process and Gray Relational Analysis (FAHP-GRA) to evaluate color preferences.

Fluoride and lead abatement from synthetic and industrial wastewaters using magnetic biochar composite of walnut shell/CuFeO/MIL-101(Al).

In this investigation, walnut shell biochar (WSB) was amended by CuFeO magnetic nanoparticles and MIL-101(Al) to improve its adsorption properties for fluoride (F) and lead (Pb) abatement from synthetic and real wastewater. Characterization outcomes showed that modification significantly improved the feature and magnetic properties of WSB, increasing its area to 229.62 m/g and enabling easy separation using a magnet.

The first report of (Steph.) R.M. Schust. (Haplomitriaceae) from Guangxi, China.

Background: The liverwort genus , first described by Nees in 1833, is the basal sister group to all other liverworts. It exhibits distinctive traits, including upright shoots, radial leaf arrangement, abundant mucilage and the absence of rhizoids, reflecting its non-vascular nature. Predominantly found in the Southern Hemisphere, specifically Australasia, the genus comprises seven species and two infraspecific taxon globally, with China recording three species - , and .

Virome Analysis Deciphers the First Virus Occurrence in Melothria scabra, Revealing Two Potyviruses, Including a Highly Divergent Zucchini Yellow Mmosaic Virus Isolate.

Melothria scabra, an annual vine plant belonging to the family Cucurbitaceae, is usually found as a weed in agricultural ecosystems, making it a potential reservoir for crop viruses. Nonetheless, no plant virus has been documented to infect M. scabra to date.

Influence of soil spatial variability on the reliability of sandy slopes incorporating anisotropy and non-stationarity.

Influence of soil spatial variability on the reliability of cohesive soil slopes has been investigated extensively in the previous studies. However, it is seldom investigated for sandy slopes, especially incorporating anisotropy and non-stationarity. This paper explores the impact of the anisotropic spatial variation and non-stationary characteristics of soils on the reliability of sandy slopes.

Evaluating Metal-Support Interaction in Formaldehyde Oxidation Using Pd/TiO Catalysts: The Key Role of Mono-Oxygen Vacancies.

Metal-support interactions (MSI) have been widely recognized as playing a key role in regulating the catalytic activity in various reactions. However, clarifying the relationship linking catalyst defect structures, active sites, and catalytic performance for catalysts with a constructed MSI remains a challenge. Here, Pd/TiO catalysts with adjustable MSI were designed and fabricated based on defect engineering.

Study on the Corrosion and Wear Mechanism of a Core Friction Pair in Methanol-Fueled Internal Combustion Engines.

With the global shift in energy structure and the advancement of the "double carbon" strategy, methanol has gained attention as a clean low-carbon fuel in the engine sector. However, the corrosion-wear coupling failure caused by acidic byproducts, such as methanoic acid and formaldehyde, generated during combustion severely limits the durability of methanol engines. In this study, we employed a systematic approach combining the construction of a corrosion liquid concentration gradient experiment with a full-load and full-speed bench test to elucidate the synergistic corrosion-wear mechanism of core friction pairs (cylinder liner, piston, and piston ring) in methanol-fueled engines.

Investigation of nozzle angle on the microstructure and abrasion resistance of jet electrodeposited Ni-TiC composites.

In order to study nozzle angle on the abrasion resistance of nickel-titanium carbide (Ni-TiC) composites, the jet electrodeposited Ni-TiC composite coating was fabricated at nozzle angles of 30°, 45° and 60°. The jet velocity and kinetic energy of the electrolyte at different nozzle angles within the given range of 30°-60° were simulated by means of COMSOL software. Additionally, the surface morphology, phase structure, and abrasion resistance of the Ni-TiC composites prepared at various jet angles were investigated using a scanning electron microscopy, energy dispersive spectroscopy, X-ray diffraction analysis, and a friction-abrasion testing machine, respectively.

Complete Mitochondrial Genome of Two Species (Lepidoideae: : ): Characterization, Comparative Analyses, and Phylogenetic Implications.

: The subfamily represents a taxonomically critical group within , characterized by its remarkable species diversity. Despite its evolutionary significance, the phylogenetic relationships among tribal and subtribal lineages remain poorly resolved. Although mitochondrial genomes have become crucial molecular markers in Lepidoptera phylogenetics, their potential remains underutilized in the systematics of .

Hybrid Adaptive Crayfish Optimization with Differential Evolution for Color Multi-Threshold Image Segmentation.

To better address the issue of multi-threshold image segmentation, this paper proposes a hybrid adaptive crayfish optimization algorithm with differential evolution for color multi-threshold image segmentation (ACOADE). Due to the insufficient convergence ability of the crayfish optimization algorithm in later stages, it is challenging to find a more optimal solution for optimization. ACOADE optimizes the maximum foraging quantity parameter and introduces an adaptive foraging quantity adjustment strategy to enhance the randomness of the algorithm.

Silver nanocluster-based fluorescent probes for detection of trace water in organic solvents with potential application in reaction monitoring.

Confined silver nanoclusters within the pores of zeolites can bring about fascinating luminescent composites with high stability. The open structure of zeolites endues the materials with excellent fluorescence sensing performance, making them suitable for application in sensor fields. In LTA zeolites, Ag clusters can form [Ag(HO)] in the hydrated state exhibiting green emission or form [Ag(O)] with red emission in the dehydration state, leading to reversible emission.

Pectin: a key component deposited in the exine of Annona montana potentially associated with exine shedding.

In angiosperms, the exine is essential for pollen‒pistil interactions and is difficult to separate from the intine. In Annona montana, however, the exine spontaneously separates from the intine during hydration, leaving the entire male gametophyte exposed and activated, which does not affect its reproduction, and fruit are produced every year. In the present study, we used light microscopy, transmission electron microscopy, immunocytochemistry, and FTIR spectroscopy to explore whether pectins located in the cavities of the exine in A.

Temporal and spatiotemporal soliton molecules in ultrafast fibre lasers.

Ultrafast fibre lasers, characterized by ultrashort pulse duration and broad spectral bandwidth, have drawn significant attention due to their vast potential across a wide range of applications, from fundamental scientific to industrial processing and beyond. As dissipative nonlinear systems, ultrafast fibre lasers not only generate single solitons, but also exhibit various forms of spatiotemporal soliton bunching. Analogous to molecules composed of multiple atoms in chemistry, soliton molecules (SMs) - alias bound states - in ultrafast fibre lasers are a key concept for gaining a deeper understanding of nonlinear interaction and hold a promise for advancing high-capacity fibre-optic communications.

Superior solubility of anhydrous quercetin and polymer physical mixtures compared to amorphous solid dispersions.

Quercetin (QUE) is a functional flavonoid molecule with low water solubility. The study of its amorphous solid dispersions (ASDs) is still insufficient. This work reveals that the solubility of the physical mixtures of anhydrous QUE and polymers (PVP or soluplus) is better than that of the ASDs of QUE and the corresponding polymers.