The analysis of dance teaching system in deep residual network fusing gated recurrent unit based on artificial intelligence.

The purpose of this study is to investigate how deep learning and other artificial intelligence (AI) technologies can be used to enhance the intelligent level of dance instruction. The study develops a dance action recognition and feedback model based on the Graph Attention Mechanism (GA) and Bidirectional Gated Recurrent Unit (3D-Resnet-BigRu). In this model, time series features are captured using BiGRU after 3D-ResNet is inserted to extract video features.

High-Energy Density Pure Polyvinylidene Difluoride with the Magnetic Field Modulation of Free-Volume Pore Size and Other Microstructures.

PVDF polymer dielectrics, renowned for their ultra-high-power density, ultra-fast response times, remarkable toughness, and lightweight properties, constitute the essential material foundation for the development of dielectric capacitors. Nevertheless, the low-energy density of these dielectrics presents a challenge to the advancement of dielectric capacitors. In this paper, in the process of preparing monolayer pure PVDF dielectric films by the solution casting method, a fixed-direction magnetic field and a rotating magnetic field were introduced in the horizontal direction, respectively, and this investigation explores the impact of magnetic field modulation on the polymer films' free-volume pore size, grain size, phase structure, dielectric properties, and energy storage capabilities by altering the duration and orientation of the magnetic field's influence.

Layer-by-Layer-Assembled Polyaniline/MXene Thin Film and Device for Improved Electrochromic and Energy Storage Capabilities.

Polyaniline (PANI) is an attractive electrochromic and storage material due to its reversible and sustainable electrochemical redox processes. However, the insufficient surface area and excessive charge intercalation after long-term cycling results in limited charge capacitance and unsatisfactory cycling stability. In this work, we demonstrate an innovative method to increase PANI's electrochromic and energy storage performance by incorporating MXene, to enhance electrochemical activity and reveal more active areas of ion/electron intercalation/deintercalation and charge transfer.

RBFNN-PSO Intelligent Synchronisation Method for Sprott B Chaotic Systems with External Noise and Its Application in an Image Encryption System.

In the past two decades, research in the field of chaotic synchronization has attracted extensive attention from scholars, and at the same time, more synchronization methods, such as chaotic master-slave synchronization, projection synchronization, sliding film synchronization, fractional-order synchronization and so on, have been proposed and applied to chaotic secure communication. In this paper, based on radial basis function neural network theory and the particle swarm optimisation algorithm, the RBFNN-PSO synchronisation method is proposed for the Sprott B chaotic system with external noise. The RBFNN controller is constructed, and its parameters are used as the particle swarm particle optimisation parameters, and the optimal values of the controller parameters are obtained by the PSO training method, which overcomes the influence of external noise and achieves the synchronisation of the master-slave system.

Global trends in the clinical utilization of exosomes in dermatology: a bibliometric analysis.

The arena of exosomal research presents substantial emerging prospects for clinical dermatology applications. This investigation conducts a thorough analysis of the contemporary global research landscape regarding exosomes and their implications for dermatological applications over the preceding decade. Employing bibliometric methodologies, this study meticulously dissects the knowledge framework and identifies dynamic trends within this specialized field.

Organic Dye Molecule Intercalated Prussian Blue for Simultaneously Enhancing Coloration Efficiency and Energy Storage Capacity in Electrochromic Battery.

The dual-functional device combining electrochromic properties and energy storage has gained numerous attentions in the field of energy-saving smart electronics. However, achieving simultaneous optimization of coloration efficiency and energy storage capacity of materials poses a significant challenge. This study presents a novel approach by incorporating methyl orange into Prussian blue channels (PB-MO films) to adjust the internal electronic structure of Prussian blue.

Characterization and expression profiles of the ZmLBD gene family in Zea mays.

Background: The Lateral Organ Boundaries Domain (LBD) gene family is a family of plant-specific transcription factors (TFs) that are widely involved in processes such as lateral organ formation, stress response, and nutrient metabolism. However, the function of LBD genes in maize remains poorly understood.

Methods And Results: In this study, a total of 49 ZmLBD genes were identified at the genome-wide level of maize, they were classified into nine branches based on phylogenetic relationships, and all of them were predicted to be nuclear localized.

Synergy of Active Sites and Charge Transfer in Branched WO/WO Heterostructures for Enhanced NO Sensing.

Achieving reliable detection of trace levels of NO gas is essential for environmental monitoring and protection of human health protection. Herein, a thin-film gas sensor based on branched WO/WO heterostructures was fabricated. The optimized WO/WO sensor exhibited outstanding NO sensing properties with an ultrahigh response value (1038) and low detection limit (10 ppb) at 50 °C.

Optical Temperature Sensing Based on Linear Change of Luminescence Intensity Ratio in YO: Tm, Eu Phosphors.

In this work, YO: Tm, Eu phosphors were made by homogeneous precipitation with urea as precipitator. The emission spectra varying with temperature of YO: Tm, Eu phosphors were measured and analyzed. Analysis show that the luminescence of Eu represents a normal thermal quenching change, while that of Tm exhibits slow thermal enhancement phenomenon.

Relationships between physical activity, sleep, and screen time with academic performance and psychological functioning among US children and adolescents with depression.

Objective: This cross-sectional study examined the relationships between adherence to 24-HMB guidelines (including physical activity [PA], screen time [ST], and sleep) with academic performance and psychological functioning among children and adolescents with depression.

Methods: This study consists of 2165 participants aged 6-17 years with depression. Independent variables were components of 24-HMB guideline adherence, while outcomes of interest were academic performance (i.

An Image Encryption Transmission Scheme Based on a Polynomial Chaotic Map.

Most existing chaotic systems have many drawbacks in engineering applications, such as the discontinuous range of chaotic parameters, weak chaotic properties, uneven chaotic sequence outputs, and dynamic degradation. Therefore, based on the above, this paper proposes a new method for the design of a three-dimensional chaotic map. One can obtain the desired number of positive Lyapunov exponents, and can also obtain the desired value of positive Lyapunov exponents.

Effect of High-Entropy Spinel Ferrite (MnZrCuCaNi)FeO Doping Concentration on the Ferroelectric Properties of PVDF-Based Polymers.

Polyvinylidene fluoride (PVDF)-based dielectric energy storage materials have the advantages of environmental friendliness, high power density, high operating voltage, flexibility, and being light weight, and have enormous research value in the energy, aerospace, environmental protection, and medical fields. To investigate the magnetic field and the effect of high-entropy spinel ferrite (MnZrCuCaNi)FeO nanofibers (NFs) on the structural, dielectric, and energy storage properties of PVDF-based polymers, (MnZrCuCaNi)FeO NFs were prepared via the use of electrostatic spinning methods, and (MnZrCuCaNi)FeO/PVDF composite films were prepared via the use of the coating method. The effects of a 0.

Neural Mechanisms of the Conscious and Subliminal Processing of Facial Attractiveness.

The purpose of this study was to investigate the neural activity evoked by facial attractiveness in conscious and subliminal conditions. The 41 participants judged facial attractiveness in a conscious condition and a subliminal condition (backward masking paradigm). The event-related potential (ERP) analysis indicated that in the conscious condition, more attractive faces elicited a longer N1 (80-120 ms) latency than less attractive faces.

Magnetic Field Effects on the Structure, Dielectric and Energy Storage Properties of High-Entropy Spinel Ferrite (LaCeMnZrCuCaNi)FeO/PVDF Nanocomposites.

Energy depletion is one of the significant threats to global development. To increase the usability of clean energy, the energy storage performance of dielectric materials must be urgently enhanced. Semicrystalline ferroelectric polymer (PVDF) is the most promising candidate for the next generation of flexible dielectric materials thanks to its relatively high energy storage density.

An Improved Math Word Problem (MWP) Model Using Unified Pretrained Language Model (UniLM) for Pretraining.

Natural Language Understanding (NLU) and Natural Language Generation (NLG) are the general methods that support machine understanding of text content. They play a very important role in the text information processing system including recommendation and question and answer systems. There are many researches in the field of NLU such as Bag of words, N-Gram, and neural network language model.

Exploring the dynamic variations of viral genomes via a novel genetic network.

Exploring the dynamic variations of viral genomes utilizing with a phylogenetic analysis is vital to control the pandemic and stop its waves. Genetic network can be applied to depict the complicated evolution relationships of viral genomes. However, current phylogenetic methods cannot handle the cases with deletions effectively.

Experimental modelling studies on the removal of dyes and heavy metal ions using ZnFeO nanoparticles.

The presence of dyes and heavy metals in water sources as pollutants is harmful to human and animal health. Therefore, this study aimed to evaluate the efficacy of zinc ferrite (ZnFeO) nanoparticles (ZF-NPs) due to their outstanding properties including cost-effectiveness, availability, and applicability for removal of auramine O (AO), methylene blue (MB), and Cd (II). The effect of the main operating parameters such as AO concentration, MB concentration, Cd (II) concentration, adsorbent amount, solution pH, and sonication time was optimized by the response surface methodology (RSM).

Magnetic Properties in Mn-Doped -MoN: A Systematic Density Functional Theory Study.

Due to the potential applications of transition metal nitrides in modern electronic and spintronic devices, we have systematically studied the magnetic properties of -MoN induced by the Mn dopant, with the goal of identifying the origin of magnetism and figuring out the magnetic coupling mechanism between the Mn dopants. Based on the density functional theory, one Mn atom doped at different Mo sites (2 and 6 in the International Tables) in the unit cell of -MoN was firstly studied. It was found that the Mn dopant located at the 2 or 6 site leads to significant spin splitting of the density of states, suggesting that the Mn doping induces magnetism in -MoN.

Identification and expression profiles of the YABBY transcription factors in wheat.

Background: YABBY is a plant-specific transcription factor (TF) that belongs to the zinc finger protein superfamily and is composed of a C2-C2 domain at the N-terminus and a YABBY domain at the C-terminus. It plays a role in plant development and growth.

Methods: In this study, 20 YABBY TFs were identified in the wheat genome.

Quantitative trait locus mapping analysis of multiple traits when using genotype data with potential errors.

Background: Quantitative trait locus (QTL) analysis aims to locate and estimate the effects of the genes influencing quantitative traits and infer the relationship between gene variants and changes in phenotypic characteristics using statistical methods. Some methods have been developed to map QTLs of multiple traits in the case of no genotype error in a given dataset. However, practical genetic data that people use may contain some potential errors because of the limitations of biotechnology.

Antimicrobial peptide CC34 attenuates intestinal inflammation via downregulation of the NF-κB signaling pathway.

The investigational drug CC34 is a cation peptide with multiple bioactivities. Here, we studied the anti-inflammatory effects of CC34 in lipopolysaccharide (LPS)-treated mouse monocyte-macrophage cells (RAW264.7) and in mice with LPS-induced intestinal inflammation.

2D-layered Mg(OH) material adsorbing cellobiose via interfacial chemical coupling and its applications in handling toxic Cd and UO ions.

The interfacial chemistry of nanocomposite materials is of overarching importance in the separation and purification science; moreover, its understanding helps to guide synthesis, clarify structure-property relationship and unearth novel applications. However, the composites feature rather complicated local structures and hydrogen bonds are often involved in the interface and the vicinity of active sites. In this regard, density functional theory first-principle calculations associated with experimental study have synergistically examined two-dimensional (2D) magnesium hydroxide material with different layers and their adsorption toward cellobiose.

Exploration of hosts and transmission traits for SARS-CoV-2 based on the k-mer natural vector.

A severe respiratory pneumonia COVID-19 has raged all over the world, and a coronavirus named SARS-CoV-2 is blamed for this global pandemic. Despite intensive research into the origins of the COVID-19 pandemic, the evolutionary history of its agent SARS-CoV-2 remains unclear, which is vital to control the pandemic and prevent another round of outbreak. Coronaviruses are highly recombinogenic, which are not well handled with alignment-based method.