bluuebunny/crossref_metadata_2025 huggingface dataset:
Interpretations of the new LHCb $$P_c(4337)^+$$ pentaquark state
Authors: Yan Mao-Jun , Peng Fang-Zheng , Sánchez Mario Sánchez , Valderrama Manuel Pavon
Published: June 2022

Recently the LHCb Collaboration has observed a new pentaquark state, the $$P_c(4337)^+$$

P
c

(
4337
)

+

. Owing to its proximity to the $$\chi _{c0}(1S) p$$

χ

c
0

(
1
S
)

p

, $${\bar{D}}^* \varLambda _c$$

D

¯

∗

Λ
c

, $${\bar{D}} \varSigma _c$$

D

¯

Σ
c

and $${\bar{D}} \varSigma _c^*$$

D

¯

Σ
c
∗

thresholds, this new pentaquark might very well be a meson–baryon bound state. However its spin and parity have not been determined yet and none of the previous possibilities can be ruled out.We briefly explore a few of these options and the consequences they entail in the present manuscript: (i) the $$P_c(4337)^+$$

P
c

(
4337
)

+

might be a $$\chi _{c0}(1S) p$$

χ

c
0

(
1
S
)

p

bound state, (ii) the $$P_c(4312)^+$$

P
c

(
4312
)

+

and $$P_c(4337)^+$$

P
c

(
4337
)

+

might be $${\bar{D}}^* \varLambda _c$$

D

¯

∗

Λ
c

and $${\bar{D}} \varSigma _c$$

D

¯

Σ
c

states close to threshold, respectively, where the Breit–Wigner mass might not correspond to the location of the poles, (iii) the locations of the $$P_c(4312)^+$$

P
c

(
4312
)

+

and $$P_c(4337)^+$$

P
c

(
4337
)

+

might be explained in terms of the $${\bar{D}}^* \varLambda _c$$

D

¯

∗

Λ
c

-$${\bar{D}} \varSigma _c$$

D

¯

Σ
c

and $${\bar{D}}^* \varLambda _c$$

D

¯

∗

Λ
c

-$${\bar{D}} \varSigma _c^*$$

D

¯

Σ
c
∗

coupled channel dynamics. This last option, though not the most probable explanation, is still potentially compatible with the double peak solution of the $$P_{cs}(4459)^0$$

P

cs

(
4459
)

0

and with what we know of the $$P_c(4312)^+$$

P
c

(
4312
)

+

. As a byproduct of the previous explorations, we conjecture the existence of a series of anticharmed meson – antitriplet charmed baryon bound states and calculate their masses.
Rolling bearing fault diagnosis based on quantum LS-SVM
Authors: Li Yuanyuan , Song Liyuan , Sun Qichun , Xu Hua , Li Xiaogang , Fang Zhijun , Yao Wei
Published: June 2022

Rolling bearing is an indispensable part of the contemporary industrial system, and its working conditions affect the state of the entire industrial system. Therefore, there is great engineering value to researching and improving the fault diagnosis technology of rolling bearings. However, with the involvement of the whole mechanical equipment, we need to have a large quantity of data to support the accuracy of fault diagnosis, while the efficiency of classical machine learning algorithms is poor in processing big data, and huge amount of computing resources is required. To solve this problem, this paper combines the HHL algorithm in quantum computing with the LS-SVM algorithm in machine learning and proposes a fault diagnosis model based on a quantum least square support vector machine (QSVM). Based on experiments simulated on analog quantum computers, we demonstrate that our fault diagnosis based on QSVM is feasible, and it can play a far superior advantage over the classical algorithm in the context of big data.
One-loop calculations in CPT-even Lorentz-breaking scalar QED
Authors: Scarpelli A. P. Baêta , Felipe J. C. C. , Brito L. C. T. , Petrov A. Yu.
Published: June 2022

In this paper, we study a CPT-even Lorentz-breaking extension of the scalar QED. For this theory, we calculate the one-loop lower-order contributions in the Lorentz-violating parameters to the two-point functions of scalar and gauge fields. We found that the two background tensors, coming from the two sectors (scalar and gauge) are mixed in the one-loop corrections both in finite and divergent parts. This shows that these two Lorentz-breaking terms cannot be studied in an isolated form. Besides, the results in the gauge sector are confirmed to be transversal.
Synthesis and application of magnetic yolk–shell composite nanoparticles
Authors: Chang Yun-Fei , Liao Ming-yi , Wen Jia-ming
Published: June 2022

Herein, a concise one-pot method to prepare magnetic yolk–shell composite nanoparticles (MYSCNPs) is developed. Phenolic resin microspheres act as sacrificial templates for depositing SiO2, and Fe@SiO2 is used as the shell-forming promoter. The diameters of MYSCNPs are [Formula: see text] nm. MYSCNPs have magnetic performance, and both the yolk and shell of MYSCNPs are mesoporous. LaCl3 catalysts are loaded onto MYSCNPs to prepare loaded LaCl3 catalysts (LaCl3-lo-MYSCNPs). Using sodium borohydride (NaBH[Formula: see text] and LaCl3-lo-MYSCNPs, liquid terminated-carboxyl fluoropolymers (LTCFs) are efficiently reduced to the corresponding liquid terminated-hydroxyl fluoropolymers (LTHFs). The structures of LTCFs and LTHFs are analyzed using FTIR and 1H-NMR. The results show that C=C and COOH of LTCFs are successfully reduced to C–C and OH.
Nilpotent Center in a Continuous Piecewise Quadratic Polynomial Hamiltonian Vector Field
Authors: Chen Ting , Llibre Jaume
Published: June 2022

In this paper, we study the global dynamics of continuous piecewise quadratic Hamiltonian systems separated by the straight line [Formula: see text], where these kinds of systems have a nilpotent center at [Formula: see text], which comes from the combination of two cusps of both Hamiltonian systems. By the Poincaré compactification we classify the global phase portraits of these systems. We must mention that it is extremely rare to find works studying the center-focus problem in piecewise smooth systems with nonelementary singular points as we did here.
A Delayed Eco-Epidemiological Model with Weak Allee Effect and Disease in Prey
Authors: Sarkar Kankan , Khajanchi Subhas , Mali Prakash Chandra
Published: June 2022

In this paper, we have proposed and analyzed a mathematical model for the eco-epidemiological system with disease in prey population, placing particular emphasis on the effects of an incubation time delay and the influence of weak Allee effect on the growth of the predator population. We investigate basic properties of the proposed model including positivity, boundedness, uniform persistence and the stability of the biologically feasible equilibrium points. Using the time delay as bifurcation parameter, we explore the stability of the interior equilibrium point and observe that Hopf bifurcation can occur when the incubation time delay crosses some threshold value. We have identified the stability regions associated with the extinction of populations, stability of the steady states, and high-periodic oscillations in disease transmission. Analytical findings are supported by numerical illustrations that demonstrate the behavior of the proposed model in different dynamical regimes. Stability criteria for the biologically feasible equilibrium points were obtained and validated with numerical simulations. We found most sensitive system parameters using the PRCC sensitivity analysis. We observe that our model simulation exhibits high-periodic oscillations due to the increasing value of time delay parameter [Formula: see text] and the disease transmission rate [Formula: see text].
A Cubic Spline Projection Method for Computing Stationary Densities of Dynamical Systems
Authors: Alshekhi Azzah , Ding Jiu , Rhee Noah
Published: June 2022

We develop a projection method for the computation of stationary densities of the Frobenius–Perron operators corresponding to one-dimensional nonsingular mappings, based on the projection approximation of the operator via finite-dimensional subspaces spanned by basic cubic spline functions. We analyze the consistency, stability, and the convergence of the numerical scheme. Numerical experiments are also given.
Bifurcations and Traveling Wave Solutions of Lakshmanan–Porsezian–Daniel Equation with Parabolic Law Nonlinearity
Authors: Zhu Wenjing , Xia Yonghui , Zheng Bowen
Published: June 2022

In this paper, we investigate the bifurcations and exact traveling wave solutions of the Lakshmanan–Porsezian–Daniel model with parabolic law nonlinearity. Employing the bifurcation theory of planar dynamical system, we obtain the phase portraits of the corresponding traveling wave system. The existence of the two singular straight lines leads to the dynamical behavior of solutions with two scales. Corresponding to some special level curves, we give the explicit exact solutions under different parameter conditions, containing peakon solutions, solitary wave solutions, kink and anti-kink wave solutions, periodic wave solutions and periodic peakon solutions. Moreover, we collect all these traveling solutions into a theorem. Finally, we discuss a small perturbation of the LPD equation and persistence of the traveling waves.
Innovative Research on English Teaching Model Based on Artificial Intelligence and Wireless Communication
Authors: Wang Yuan , Na Kew Si
Published: June 2022

It is a network system for teaching English through a wireless communication (WC) premised distance teaching system. This is a process of education that is capable of encouraging students’ concerns to acquire knowledge voluntarily. The paper is designed to develop and implement an online intelligent English training system using artificial intelligence (AI) that helps students improve their English learning efficiency in line with knowledge and personality. The system’s numerous sensor nodes may create a variety of topologies. The gathered information is transmitted over the global system for mobile communication (GSM) network to the user interface. The operator can manage the remote sensor node via the GSM network. Nevertheless, there are certain derivative aspects such as the absence of verbal judgment, the actual evaluation and signaling system, the interactive educational platform teachers and learners need. The paper is based on the above issues. It contains a whole talk-based system where teachers, students, and English teaching can be revised together — AIWC (ET-AIWC) systems are designed to improve and advance the genetic algorithm based on an encoding technique for dynamic parameter adjustment of the iterative process based on these problems. In combination with an AI expert system, suitable learning techniques were created to enable students to double the learning effect by half the amount of work. An online teaching assistant system was designed to monitor, regulate, and engage with students throughout the learning process and a modified scoring system that provides real-time evaluation of student speakers to improve students’ oral competence in English better and more efficiently, achieving 95.2%.
A Markov–Dobrushin Inequality for Quantum Channels
Authors: Accardi Luigi , Lu Yun Gang , Souissi Abdessatar
Published: June 2022

We propose a quantum extension of the Markov-Dobrushin inequality. As an application, we estimate the Markov-Dobrushin constant for some classes of quantum Markov channels, in particular for the Pauli channel, widely studied in quantum information theory.
Toward negative capacitance electronics
Authors: Hoffmann Michael
Published: June 2022

Progress in electronics is limited by power dissipation constraints. Ferroelectric materials with a negative capacitance could help to overcome these limits. Especially, HfO2 and ZrO2 based ferroelectrics are promising for negative capacitance electronics due to their compatibility with modern transistor manufacturing processes. Recently, first negative capacitance transistors have been demonstrated. However, further investigations on the microscopic origin of negative capacitance in HfO2- and ZrO2-based ferroelectrics are needed. Lastly, opportunities for negative capacitance beyond transistors are discussed.
Energy-efficient In-Memory Address Calculation
Authors: Yousefzadeh Amirreza , Stuijt Jan , Hijdra Martijn , Liu Hsiao-Hsuan , Gebregiorgis Anteneh , Singh Abhairaj , Hamdioui Said , Catthoor Francky
Published: June 2022

Computation-in-Memory (CIM) is an emerging computing paradigm to address memory bottleneck challenges in computer architecture. A CIM unit cannot fully replace a general-purpose processor. Still, it significantly reduces the amount of data transfer between a traditional memory unit and the processor by enriching the transferred information. Data transactions between processor and memory consist of memory access addresses and values. While the main focus in the field of in-memory computing is to apply computations on the content of the memory (values), the importance of CPU-CIM address transactions and calculations for generating the sequence of access addresses for data-dominated applications is generally overlooked. However, the amount of information transactions used for “address” can easily be even more than half of the total transferred bits in many applications. In this article, we propose a circuit to perform the in-memory Address Calculation Accelerator. Our simulation results showed that calculating address sequences inside the memory (instead of the CPU) can significantly reduce the CPU-CIM address transactions and therefore contribute to considerable energy saving, latency, and bus traffic. For a chosen application of guided image filtering, in-memory address calculation results in almost two orders of magnitude reduction in address transactions over the memory bus.
Exogenous ketosis suppresses diuresis and atrial natriuretic peptide during exercise
Authors: Robberechts Ruben , Poffé Chiel , Hespel Peter
Published: June 2022

We previously demonstrated that exogenous ketosis reduces urine production during exercise, however, the underlying physiological mechanism remained unclear. Here, we, for the first time demonstrate that exogenous ketosis suppresses the exercise-induced release of atrial natriuretic peptide (ANP). However, given the limited effects of ANP on renal haemodynamics during exercise, the underlying physiological mechanism remains unknown. But downregulation of ANP might explain a new physiological mechanism by which exogenous ketosis lowers blood-free fatty acid levels.
Regional genioglossus reflex responses to negative pressure pulses in people with obstructive sleep apnea
Authors: Carberry Jayne C. , Burke Peter G. R. , Osman Amal M. , Jugé Lauriane , Toson Barbara , Gandevia Simon C. , Butler Jane E. , Bilston Lynne E. , Eckert Danny J.
Published: June 2022

Our findings indicate that 30% of participants had regional heterogeneity in reflex morphology (excitation/inhibition) to brief pulses of negative upper-airway pressure across anterior oblique, anterior horizontal, posterior oblique, and posterior horizontal regions of the genioglossus muscle. Reflex excitation amplitude was proportional to prestimulus drive, with increased activation in oblique compared with horizontal regions of the posterior tongue. People with narrower upper-airway anatomy tended to have increased genioglossus reflex amplitude to negative pressure pulses during wakefulness.
Lymphatic vessels in cancer
Authors: Dieterich Lothar C. , Tacconi Carlotta , Ducoli Luca , Detmar Michael
Published: June 2022

The lymphatic system, composed of initial and collecting lymphatic vessels as well as lymph nodes that are present in almost every tissue of the human body, acts as an essential transport system for fluids, biomolecules, and cells between peripheral tissues and the central circulation. Consequently, it is required for normal body physiology but is also involved in the pathogenesis of various diseases, most notably cancer. The important role of tumor-associated lymphatic vessels and lymphangiogenesis in the formation of lymph node metastasis has been elucidated during the last two decades, whereas the underlying mechanisms and the relation between lymphatic and peripheral organ dissemination of cancer cells are incompletely understood. Lymphatic vessels are also important for tumor-host communication, relaying molecular information from a primary or metastatic tumor to regional lymph nodes and the circulatory system. Beyond antigen transport, lymphatic endothelial cells, particularly those residing in lymph node sinuses, have recently been recognized as direct regulators of tumor immunity and immunotherapy responsiveness, presenting tumor antigens and expressing several immune-modulatory signals including PD-L1. In this review, we summarize recent discoveries in this rapidly evolving field and highlight strategies and challenges of therapeutic targeting of lymphatic vessels or specific lymphatic functions in cancer patients.
Cortical-subcortical interactions in goal-directed behavior
Authors: Cruz K. Guadalupe , Leow Yi Ning , Le Nhat Minh , Adam Elie , Huda Rafiq , Sur Mriganka
Published: June 2022

Flexibly selecting appropriate actions in response to complex, ever-changing environments requires both cortical and subcortical regions, which are typically described as participating in a strict hierarchy. In this traditional view, highly specialized subcortical circuits allow for efficient responses to salient stimuli, at the cost of adaptability and context specificity, which are attributed to the neocortex. Their interactions are often described as the cortex providing top-down command signals for subcortical structures to implement; however, as available technologies develop, studies increasingly demonstrate that behavior is represented by brainwide activity and that even subcortical structures contain early signals of choice, suggesting that behavioral functions emerge as a result of different regions interacting as truly collaborative networks. In this review, we discuss the field’s evolving understanding of how cortical and subcortical regions in placental mammals interact cooperatively, not only via top-down cortical-subcortical inputs but through bottom-up interactions, especially via the thalamus. We describe our current understanding of the circuitry of both the cortex and two exemplar subcortical structures, the superior colliculus and striatum, to identify which information is prioritized by which regions. We then describe the functional circuits these regions form with one another, and the thalamus, to create parallel loops and complex networks for brainwide information flow. Finally, we challenge the classic view that functional modules are contained within specific brain regions; instead, we propose that certain regions prioritize specific types of information over others, but the subnetworks they form, defined by their anatomical connections and functional dynamics, are the basis of true specialization.
Precision Marketing Strategy for Ecotourism Based on Data Mining and User Images
Authors: Chen Xi , Li Qinjin , Zou Fuxia , Wang Dan , Li Tao , Hu Mengyao
Published: June 2022

With the continuous development of ecotourism industry, it has become a common concern in ecotourism industry to utilize the available data to realize the change of ecotourism industry and promote the product development and business expansion of ecotourism industry. To this end, we propose a personalized ecotourism route recommendation (PTIR) algorithm based on the popularity of points of interest (POI) and users’ interest preferences. First, we analyze the real historical ecotourism footprints of users, propose a time-based user interest preference, and design a method to calculate the best ecotourism route given the travel time limit, departure point, and end point. Experiments were conducted on a real dataset of the Flickr social networking site, and the results showed that this personalized ecotourism route recommendation algorithm has greatly improved accuracy and recall compared with the traditional algorithm that only considers POI popularity, and the results were visualized through specific experimental cases based on user image clustering.
[Retracted] Impact of Social Media Usage on Civic Engagement towards Societal Problems: Qualitative Modelling Approach
Authors: shao Lu , Goli Mahendar , Sewagegn Abatihun Alehegn , Sahu Anoop Kumar
Published: June 2022

Civic engagement participation in solving the social problems gained momentum among social media users. It is probed via literature survey that many research studies conducted in understanding the civic behaviour and personality development; therefore, research documents were found still limited in the area of factors and their constructive factors (hypotheses) identification towards intensifying the online civic engagement for solving and reforming the society. Therefore, the purpose of the research is directed to build a qualitative research model of crucial factors by using the social capital theory, developing constructive factors (hypotheses) based on the research model, and testing constructive factors, which could intensify the civic engagement of online social media user’s (Facebook, Twitter, etc.) towards solving the social problems. To fulfil aforesaid agendas, the authors employed the qualitative survey method, which consisted of a simulation of an online survey against H1–H8 hypotheses of the research model. The survey data was collected by exploring the Google Form under the five‐point Likert scale as a data collection tool. Participated students were prioritized from a metro city of India on a purposive mode. Collected usable samples of 341 students were considered for descriptive analysis such as reliability, validity, content, and construct of factors of the research model. Next, confirmatory factor analysis was performed to measure of fitness of factors of the research model. Finally, structural equation modelling (path analysis) carried out to assess the constructive factors (hypotheses) of research model. The summary of the results stated that usage of social media, trust, civic skills, and social responsibility are found as global significant factors, which affected an individual’s civic engagement in solving the social problems. This study aids the practitioners and academicians to audit and evaluate the advanced factors and their constructive factors in future, which affect the young social media users’ civic engagement in solving the social problems.
Evaluation for Development Effect of Enterprise Innovation with Neural Network from Low-Carbon Economy
Authors: Bai Shaoyi , Zhang Shengtai
Published: June 2022

China has resolved to pay more and more attention to the sustainability of ecological construction and social development. The country has proposed a low-carbon economy policy; development and management of enterprises are also actively responding to the call for a low-carbon economy. Through a series of innovations and changes, it intends to realize its own low-carbon production and business development, thereby promoting transformation and optimization of industrial institutions. Innovation is a significant driving force of national economic development. In order to build China into an innovative country, there is a need of national innovation strategy and innovation system. The state vigorously promotes the implementation of innovation-driven development strategies. Enterprises are not only an important carrier for the state to implement mass entrepreneurship and innovation but also a powerful driving force for development of economy. There is a dire need and importance to identify techniques to evaluate impact of corporate innovation on development effects with low-carbon economy. Considering this aforementioned problem, random initialization parameters in back propagation network are used. This evaluation process can easily lead to the functioning of the model falling in the local optimum. The work designs an impact evaluation model (IGWO-BP) with improved gray wolf algorithm (IGWO) in order to optimize BP network. To improve optimization ability for GWO, the study uses the chaotic map to initialize the population. The nonlinear convergence factor strategy as well as dynamic weight strategy is used to promote GWO, so as to optimize initial weight as well as threshold point for the BP network. The IGWO-BP is applied to perform evaluation of the impact in case of enterprise innovation relevant to development effects with low-carbon economy.
CUL3 and COPS5 Related to the Ubiquitin-Proteasome Pathway Are Potential Genes for Muscle Atrophy in Mice
Authors: Xu Qun , Li Jinyou , Yang Ji , Xu Zherong
Published: June 2022

Sarcopenia is a condition that reduces muscle mass and exercise capacity. Muscle atrophy is a common manifestation of sarcopenia and can increase morbidity and mortality in specific patient populations. The aim of this study was to identify novel prognostic biomarkers for muscle atrophy and associated pathway analysis using bioinformatics methods. The samples were first divided into different age groups and different muscle type groups, respectively, and each of these samples was analyzed for differences to obtain two groups of differentially expressed genes (DEGs). The two groups of DEGs were intersected using Venn diagrams to obtain 1,630 overlapping genes, and enrichment analysis was performed to observe the Gene Ontology (GO) functional terms of overlapping genes and the enrichment of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. Subsequently, WGCNA (weighted gene coexpression network analysis) was used to find gene modules associated with both the age and muscle type to obtain the lightgreen module. The genes in the key modules were analyzed using PPI, and the top five genes were obtained using the MCC (maximum correntropy criterion) algorithm. Finally, CUL3 and COPS5 were obtained by comparing gene expression levels and analyzing the respective KEGG pathways using gene set enrichment analysis (GSEA). In conclusion, we identified that CUL3 and COPS5 may be novel prognostic biomarkers in muscle atrophy based on bioinformatics analysis. CUL3 and COPS5 are associated with the ubiquitin-proteasome pathway.
Bearing Remaining Useful Life Prediction Based on AdCNN and CWGAN under Few Samples
Authors: Man Junfeng , Zheng Minglei , Liu Yi , Shen Yiping , Li Qianqian
Published: June 2022

At present, deep learning is widely used to predict the remaining useful life (RUL) of rotation machinery in failure prediction and health management (PHM). However, in the actual manufacturing process, massive rotating machinery data are not easily obtained, which will lead to the decline of the prediction accuracy of the data-driven deep learning method. Firstly, a novel prognostic framework is proposed, which is comprised of conditional Wasserstein distance-based generative adversarial networks (CWGAN) and adversarial convolution neural networks (AdCNN), which can stably generate high-quality training samples to augment the bearing degradation dataset and solve the problem of few samples. Then, the bearing RUL prediction method is realized by inputting the monitoring data into the one-dimensional convolutional neural network (1DCNN) for adversarial training. Via the bearing degradation dataset of the IEEE 2012 PHM data challenge, the reliability of the proposed method is verified. Finally, experimental results show that our approach is better than others in RUL prediction on average absolute deviation and average square root error.
Effects of Tenofovir Combined with Recombinant Human Interferon α-2b on Negative Conversion Rate, Liver Function, Immune Status, and Drug Safety in Patients with Chronic Hepatitis B: A Systematic Review and Meta-Analysis
Authors: Zhang Hui , Xian Jianchun , Li Yang , Xiao Li , Wang Lu
Published: June 2022

Objective. To systematically evaluate the clinical value of tenofovir combined with recombinant human interferon α-2b in the treatment of chronic hepatitis B and to provide evidence-based medicine for its popularization and use. Methods. The randomized controlled trials (RCTs) of tenofovir combined with recombinant human interferon α-2b in the online database of PubMed, EMBASE, ScienceDirect, Cochrane Library, China knowledge Network (CNKI), China VIP database, Wanfang database, and China Biomedical Literature Database (CBM) were searched. The data included in this study were extracted by two independent researchers. After extracting the data of the study, the Cochrane manual 5.1.0 standard was used to evaluate the bias risk of all the literature included in this study. RevMan5.4 statistical software was used to analyze the collected data by meta. Results. Entecavir combined with recombinant human interferon α-2b can inhibit the activity of HBV polymerase and improve the inflammatory response of the liver. Recombinant human interferon α-2b can regulate immune function by inducing T cell differentiation and maturation and enhancing the production of cytokines. The systematic evaluation showed that entecavir combined with recombinant human interferon α-2b had higher serum HBeAg negative conversion rate, higher drug safety compared with entecavir alone, and improved liver function and immune status. Conclusion. Tenofovir combined with recombinant human interferon alpha-2b has a high serum HBeAg negative rate and safety profile for the treatment of chronic hepatitis B. The combination treatment can improve liver function and immune status in patients, but more studies with higher methodological quality and longer duration of intervention are needed for further validation.
Design of the Physical Fitness Evaluation Information Management System of Sports Athletes Based on Artificial Intelligence
Authors: Liu Haobo , Zhu Xiaoyun
Published: June 2022

With the rapid development of science and technology in recent years, more and more researchers began to explore the basic disciplines of sports, namely, biomechanics and physiology, and further update and improve the traditional sports training theory. However, the developed countries, i.e., Europe and the United States, have dedicatedly worked on the effective role of physical training particularly in middle-class farmers in sports powers. They have realized that the continuous improvement of the physical training evaluation system is directly related to the reforming in the evaluation and monitoring methods of physical training. At the same time, there is a demand for athletes’ physical fitness evaluation, which requires a large amount of data support during the evaluation. These data collection and analysis are difficult and consume a lot of manpower. Therefore, this paper uses artificial intelligence technology to design the sports athletes’ physical fitness evaluation information management system to improve the comprehensiveness of system data collection and the accuracy of data analysis. Through the physical attenuation calculation and physical analysis of the system developed in this paper, data accuracy is high. The coach can make a training plan according to the physical consumption of athletes in sports training or competition, which can greatly improve the ability of athletes.
Electroacupuncture Ameliorates Acute Myocardial Ischemic Injury and Long QT Interval in Mice through the α1A-Adrenergic Receptor: Electrophysiological, Morphological, and Molecular Evidence
Authors: Zuo Haiyan , Cui Shuai , Wang Kun , Wu Xin , Zhou Jie , Qu Qiaoyu , Tong Yan , Wu Shengbing , Zhou Meiqi
Published: June 2022

Acute myocardial ischemia (AMI) is a condition caused by a decrease in blood flow to the heart that can sometimes predispose to acquired long QT syndrome (LQTS), thereby resulting in sudden cardiac death. Recent evidence indicates that electroacupuncture (EA) can alleviate MI injury, but its specific mechanism remains unclear. This study was aimed at investigating the efficacy of EA, which utilizes α1A-adrenergic receptors (α1A-AR) in alleviating MI injury as well as the resulting LQTS. The AMI model was established by ligating the left anterior descending arteries (LAD) of both the wild-type and α1A gene-knockout mice and treating them with EA for three consecutive days. A PowerLab 16 physiological recorder was used to collect the electrocardiogram (ECG) while the serum creatine kinase isoenzymes (CK-MB), lactate dehydrogenase (LDH), and norepinephrine (NE) levels in myocardial tissue were determined by using the enzyme-linked immunosorbent assay (ELISA) kit. Moreover, TTC staining was used to observe the myocardial ischemic area, while H&E and TUNEL staining determined the pathological morphology of the myocardium. Quantitative real-time PCR (qRT-PCR) was used to detect the α1A mRNA, and Western blot was used to detect the specific proteins, such as α1A, cleaved caspase-3, Gq, PLC, p-PKCα, and p-hERG. Our results showed that EA could effectively reduce elevated ST-segment, shorten the extended QT interval, and reduce the serum myocardial enzyme content and the degree of pathological injury in wild mice with MI. EA can also decrease the expression of α1A-AR, PLC, p-PKCα, and NE content in myocardial tissues of wild mice, while those of p-hERG increased in ischemic myocardial tissue. These findings suggested that α1A-AR is involved in the development of MI as well as LQTS. Additionally, EA treatment improves the cardiac function and ischemic long QT interval and plays an important role in reducing the hERG inhibition through the α1A-AR-mediated Gq/PLC/PKCα pathway and myocardial apoptosis. Hence, it is suggested that α1A-AR might become a potential target for EA in treating AMI treatment of myocardial ischemia injury and acquired long QT intervals caused by MI.
An Urban Design Engineering Management Model Based on Data Analysis and Landscape Urbanism
Authors: Li Jingliang , Zhang Wei , Wang Xiaoxiao
Published: June 2022

The error brought by space syntax in modeling computation and auxiliary analysis decision-making process has not been fully studied. In response to this phenomenon, this paper introduces two typical examples of digital visualization, 2D and 3D maps obtained using GIS and computer-aided design techniques, to design a multiflow system with elements interacting. By looking at flow models represented by traffic and walking, we consider how new real-time social media can be used to represent small-scale interactions at the spatial and social network levels. Watch how real-time data is sent to designers through various forms of dashboard by choosing the optimal radius, moderate model expansion range, with the aid of multisource urban data, choosing the appropriate fineness and modeling software.
Modeling and Optimization of MRR in Wire Electrical Discharge Machining of Silicon Particle-Reinforced AA6063 Composite
Authors: Mahesha CR , .Suprabha R , Bhavani NPG , Sunagar Prashant , Ramesh Raja , Balamurugan P. , Rajendran Rajasekar , Bhowmick Anirudh
Published: June 2022

Improved properties can be found in aluminum alloys containing silicon carbide reinforcement particles. This work studies the machinability of Al 6063 reinforced with silicon carbide particles with wire electrical discharge machining. To attain a high material removal rate, wire EDM constraints such as current (I), pulse-on time (Ton), wire speed (Ws), voltage

I

v

, and pulse-off time (Toff) can be adjusted with precision. Taguchi L16 orthogonal arrays are used to design the experiments and statistical methods are used to examine. These process characteristics had a significant impact on the overall rate of return, with a 28.2% impact on the MRR, 23.04% impact on the MRR, and 22.86% impact on the MRR. We achieved MRRs of 65.21 mg/min for samples containing 5% and 10% SiCp at optimal conditions, respectively. Linear regression was used to create the statistical model, which then used confirmation trials to verify its accuracy in predicting MRR (R -73.65%). The statistical model is used to estimate MRR based on various process parameter settings.
Revealing the Pattern of Causality in Processes of Urbanization and Economic Growth: An Evidence from China
Authors: Lv Huaxia , Zheng Xiaojing , Chen Shuang
Published: June 2022

This paper introduces a method of combining phase space reconstruction and symbolic dynamics to study the causality between urbanization and economic growth at different regional levels in Shandong Province and finds that there is a strong positive relationship between urbanization and economic growth from China, indicating that the development of urbanization can drive the economic growth. Then, according to the results of correlation analysis between respective subvariables belonging to urbanization and economic growth and the principle of “deleting strong and reserving weak,” the paper selects the independent variable and dependent variable to explore the hidden causal mechanisms that drive the developing of urbanization and economic growth from China. The results show that (1) the pattern causality between the independent variable and the dependent variable is dominated by dark causality at the provincial level; (2) the pattern causality between the independent variable and the dependent variable is dominated by dark causality at the Jinan economic circles and the Lunan economic circles, but the positive causality is dominated at the Jiaodong economic circles; (3) the types of causality between the same evaluation index and PU in different regions are different, and furthermore the degrees of positive, negative, and dark causality are different at two levels and three regions. The conclusion shows that although there is an obvious positive interaction between urbanization and economic growth, the influences of many factors are neither positive nor negative causality, but dark causality, which plays an important role in developing urbanization and economic growth. This work is useful for studying the law of causality between urbanization and economic growth, and this interesting result can be extended to other economic events.
Research on the Relationship Model between Professional Identity and Life Meaning of Clinical Medical Freshmen based on Artificial Intelligence Medical Image Detection
Authors: Li Xiufeng , Li Ping , Gao Yaxuan , Wang Tan , He Ying , Li Xinhui
Published: June 2022

Objective. To understand the current situation of professional identity and life significance of clinical medical freshmen in a university in Xinjiang, analyze its influencing factors, find out the influencing factors and causes, and intervene and improve them. Provide the public with better medical and health management services, so that people can independently and effectively predict and prevent diseases; at the same time, it can also guide people to make more correct and wise choices in uncomfortable situations. Methods. A questionnaire survey was conducted on 793 freshmen majoring in clinical medicine with the college students’ professional identity questionnaire and the Chinese version of the meaning in life scale (C‐MLQ). Results. The freshmen total score of professional identity was (97.48 ± 12.21). The total score of meaning in life was (53.26 ± 7.15), and the meaning in life and the professional identity were significantly positively correlated (r = 0.467, P < 0.01). Students with first choice, only child, urban living, and parents with a high educational level scored higher in their professional identity (P < 0.05). First choice (β = −0.11, P < 0.001), place of residence (β = −0.07, P = 0.03), father’s education level (β = 0.08, P = 0.04), family monthly income (β = −0.09, P = 0.02), and the presence of meaning in life (β = 0.54, P < 0.001) are the influencing factors of students’ professional identity. Both professional identity and meaning in life have important relationship with the mental health of medical students. In the development of modern medicine, finding personal career orientation and goals helps to establish a correct outlook on life, values, and the world. It has a positive impact on the development of personal physical and mental health. Conclusion. The professional identity and life meaning of clinical medical freshmen are at the upper middle level, which can be improved through medical education and other measures. The joint efforts of society, schools, families, and individual students are needed to improve the professional identity of medical students.
Rituximab May Have Positive Effect on Refractory Nephrotic Syndrome: A Meta-Analysis of Randomized Trials
Authors: Lin Jingjing , Sun Jia
Published: June 2022

Purpose. This study was aimed at demonstrating the role of rituximab (RTX) on the influence of nephrotic syndrome (NS) and on urinary protein which was not significant. Methods. The clinical randomized controlled trials were performed by eight databases. Meanwhile, the confidence interval (CI) of either relative risk or mean difference was set to 95%. Besides, the heterogeneity of the research results is tested by

I

2

. Results. A total of 1658 references were found using the search method. This meta-analysis will be done by the ultimately eight different studies. Each study is described as random controlled trial. According to these eight studies, the remission of test group and control group was quite higher (OR: 1.60; 95% Cl: 1.17, 2.20;

P
<
0.01

) than the control group, serum albumin (SMD: 4.19; 95% Cl: 1.49, 6.89;

P
<
0.01

), and urine protein (SMD: 0.79; 95% Cl: -0.64, 2.22;

P
=
0.28

). Despite the fact that the remission rate’s funnel plot was asymmetrically distributed, Egger’s test and Begg’s test revealed no probable publish bias. Conclusion. The results of this study suggest that rituximab (RTX) may be effective in RNS, as evidenced by remission rates and serum albumin. However, the effect on urinary protein was not significant. The clear evidence is missing in this literature. Therefore, large sample, multicenter, low risk of bias clinical studies, as well as basic medical research, is needed.
Application of Improved Manta Ray Foraging Optimization Algorithm in Coverage Optimization of Wireless Sensor Networks
Authors: Zhu Fang , Wang Wenhao , Li Shan
Published: June 2022

For the shortcomings of the manta ray foraging optimization (MRFO) algorithm, like slow convergence speed and difficult to escape from the local optimum, an improved manta ray foraging algorithm based on Latin hypercube sampling and group learning is proposed. Firstly, the Latin hypercube sampling (LHS) method is introduced to initialize the population. It divides the search space evenly so that the initial population covers the whole search space to maintain the diversity of the initial population. Secondly, in the exploration stage of cyclone foraging, the Levy flight strategy is introduced to avoid premature convergence. Before the somersault foraging stage, the adaptive t-distribution mutation operator is introduced to update the population to increase the diversity of the population and avoid falling into the local optimum. Finally, for the updated population, it is divided into leader group and follower group according to fitness. The follower group learns from the leader group, and the leader group learns from each other through differential evolution to further improve the population quality and search accuracy. 15 standard test functions are selected for comparative tests in low and high dimensions. The test results show that the improved algorithm can effectively improve the convergence speed and optimization accuracy of the original algorithm. Moreover, the improved algorithm is applied to wireless sensor network (WSN) coverage optimization. The experimental results show that the improved algorithm increases the network coverage by about 3% compared with the original algorithm, and makes the optimized node distribution more reasonable.
Interpretation of a Quantitative Diagnosis Model of Traditional Chinese Medicine Syndromes Based on Computer Adaptive Testing
Authors: Yao Simeng , Huang Zhongyu , Liu Xianhua , Yan Qiaofeng , Tang Jing , Liu Fengbin , Hou Zhengkun
Published: June 2022

Objectives. The aim of this study is to interpret a quantitative diagnosis model of traditional Chinese medicine (TCM) syndromes based on computer adaptive testing (CAT), from the perspective of both patients and clinicians. Methods. In this cross-sectional study, patients with postprandial distress syndrome completed the CAT model of TCM syndromes and the Chinese version of the Quality of Life Questionnaire for Functional Digestive Disorders (Chin-FDDQL); the clinicians’ diagnosis was concurrently recorded. The patients completed this questionnaire again after 14 ± 2 days. The kappa test and paired chi-square test were used to evaluate the consistency between the CAT model and clinical diagnosis. Minimal clinically important differences (MCID) of the Chin-FDDQL scores were used to assess clinical efficacy from the patients’ perspective. Logistic regression was used to examine the association between changes in the CAT model syndrome domain scores and changes in clinical outcomes. Results. Changes in the CAT model syndrome domain scores may affect the clinical outcomes of patients with the total scores of Chin-FDDQL (all

P
<
0.05

). There was a correlation between changes in the CAT model syndrome domain scores and the patients’ clinical outcomes. Different syndrome elements had different effects on various Chin-FDDQL domains, which was consistent with the theory of TCM. Conclusions. This study proposes a method for the clinical interpretation of the CAT model of TCM syndromes, including evidence derived from the application. It may provide a reference for future interpretation of other CAT models.
Comparison of a Minimally Invasive Tissue‐Sparing Posterior Superior (TSPS) Approach and the Standard Posterior Approach for Hip Replacement
Authors: Romagnoli Matteo , Raggi Federico , Roberti di Sarsina Tommaso , Saracco Alvise , Casali Marco , Grassi Alberto , Zaffagnini Stefano
Published: June 2022

Purpose. The purpose of this study is to compare the functional and clinical outcomes, blood loss, complication rate, and hospital length of stay (LOS) of total hip replacement (THR) using a minimally invasive tissue‐sparing posterior superior (TSPS) approach and the standard posterior approach. Materials and Methods. This retrospective, observational, double‐centered study included 38 patients undergoing hip replacement. The patents were divided into two groups: control group (19 patients), who underwent surgery with the standard posterior approach, and treatment group (19 patients), who received the same type of implant with ceramic‐on‐ceramic bearing via the TSPS approach. Hemoglobin level was assessed preoperatively, on first and second postoperative days, and on discharge day. Harris hip score and Western Ontario and McMaster Universities Arthritis Index were used to measure the clinical and functional outcomes. Hospital LOS and incidence of early and late complications were assessed in both groups. Postoperative anteroposterior pelvis X‐ray was performed to assess the correct positioning of implants. Results. Better early clinical outcomes (p = 0.0155), lesser blood loss (p < 0.0001), and reduced hospital LOS (p < 0.0001) were observed in the TSPS group than in the control group. No major adverse effects occurred in both groups, and a satisfactory implant orientation was achieved in all patients. Conclusions. The TSPS approach is a reliable minimally invasive procedure for THR as it allows an accurate orientation of the components and provides better early postoperative functional outcomes, faster recovery, significantly lower blood loss, and shorter hospital LOS than the standard posterior approach. However, further research is needed to confirm the promising results and cost‐effectiveness of the TSPS approach in larger cohorts with a longer follow‐up period.
Artificial Intelligence and Internet-of-Things Technology Application on Ideological and Political Classroom Teaching Reform
Authors: Cao Chang
Published: June 2022

We look at the current state of ideological and political classroom teaching based on artificial intelligence and the Internet of Things. We also look at the problems with traditional ideological and political classroom teaching in order to improve the effectiveness of classroom reform. Also, this paper reforms teaching based on the real world and builds a modern, intelligent system for teaching political and ideological ideas in the classroom. The ideological and political education system is built on the Internet of Things. It has three layers: the perception layer, the network layer, and the application layer. The system collects efficient ideological and political teaching activity data in real time through the Internet of Things and wireless networks, sends the data to the data center through the Internet, and then uses the collected data as the original data for applications, data mining, and modeling simulation. Lastly, this paper proves through simulation experiments and teaching experiments that the system built in this paper can be used to reform ideological and political education.