bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation Model of Product Shape Design Scheme Based on Fuzzy Genetic Algorithm Mining Spatial Association Rules
Authors: Wu Jie
Published: March 2022

Put forward a kind of association rules mining method based on fuzzy genetic algorithm, this approach by building a mining model, the association rules and fuzzy genetic algorithm fuses in together, and then given to the fitness function of the mining space, and uses threshold to limit the fuzzy genetic algorithm will cross distribution and compile the fitness function, the improved method excavation stability is strong, the mining accuracy is high. The clustering analysis method of multidimensional fuzzy genetic algorithm mapping association network is studied, and the multidimensional module layout target is analyzed by using fuzzy hierarchical analysis technology and improved genetic algorithm combined with the clustering target of each angle, and the module division of each angle is realized. The main structure of the product is constructed with process model as the integration framework, style as the organization form, and feature list as the expression mechanism. The product characteristics based on fuzzy genetic algorithm are studied, the main structure configuration design process model mapping relation analysis, combined with the main structure of the joint model, together to achieve the fuzzy genetic algorithm (GA) variant design of fine-grained axiomatic mode, based on the associated network building and integration of new product design process, product structure of multidimensional optimization problem is solved.
The Evaluation Method of English Teaching Ability in View of Internet of Things
Authors: Gu Zheng
Published: March 2022

This paper firstly investigates the current situation of English teaching evaluation research at home and abroad and the evaluation of basic English teaching through literature review. Most of the research involves personal experience summary, lack of academic, and empirical research proof. Research starting points are often very similar, with repetitive content. Most of these studies are limited to teaching evaluation or learning specific English knowledge, and the evaluation of teaching methods is limited. The article explains the importance and scope of English teaching evaluation research through the Internet of Things technology and explains that the guiding theories of this English teaching evaluation research are system theory, structure theory, and multiscientific theory. Finally, this paper conducts relevant experimental research and analyzes all aspects of English teaching. Through experiments, this paper finds that students’ input and level in collective or group English activities are both above 4.2 points. The self-assessment method obtained a score of 4.8 or more in the teacher’s evaluation. It is necessary and realistic to establish an independent teacher-student-centered teacher education evaluation system, to optimize the teacher’s beliefs of English teachers, to enrich and update the knowledge system of English teachers, to develop the practical wisdom of English teachers, to focus on students as the center of evaluation and decision-making, and to develop good teaching evaluation and decision-making habits.
Distributed Deep CNN-LSTM Model for Intrusion Detection Method in IoT-Based Vehicles
Authors: Alferaidi Ali , Yadav Kusum , Alharbi Yasser , Razmjooy Navid , Viriyasitavat Wattana , Gulati Kamal , Kautish Sandeep , Dhiman Gaurav
Published: March 2022

As 5G and other technologies are widely used in the Internet of Vehicles, intrusion detection plays an increasingly important role as a vital detection tool for information security. However, due to the rapid changes in the structure of the Internet of Vehicles, the large data flow, and the complex and diverse forms of intrusion, traditional detection methods cannot ensure their accuracy and real-time requirements and cannot be directly applied to the Internet of Vehicles. A new AA distributed combined deep learning intrusion detection method for the Internet of Vehicles based on the Apache Spark framework is proposed in response to these problems. The cluster combines deep-learning convolutional neural network (CNN) and extended short-term memory (LSTM) network to extract features and data for detection of car network intrusion from large-scale car network data traffic and discovery of abnormal behavior. The experimental results show that compared with other existing models, the algorithm of this model can reach 20 in the fastest time, and the accuracy rate is up to 99.7%, with a good detection effect.
Surgical Efficacy and Safety of Patients with Locally Advanced Gastric Cancer following Neoadjuvant Concurrent Chemoradiotherapy and Chemotherapy
Authors: Li Ching-Chun , Yeh Yung-Sung , Chen Yen-Cheng , Su Wei-Chih , Chang Tsung-Kun , Tsai Hsiang-Lin , Huang Ching-Wen , Ma Cheng-Jen , Yin Tzu-Chieh , Chen Po-Jung , Wang Jaw-Yuan
Published: March 2022

Background. The safety and efficacy of gastrectomy for locally advanced gastric cancer (LAGC) following neoadjuvant therapy have gained increasing attention. In this article, we present our preliminary treatment results and compare the surgical safety and outcomes of neoadjuvant concurrent chemoradiotherapy (CCRT) with those of chemotherapy in patients with LAGC. Patients and Methods. Sixty-three patients with a diagnosis of LAGC (clinical staging cT3N2+, cT4aN+, or cT4b) who had received neoadjuvant therapy at any period from January 2014 to December 2020 were enrolled. Among 63 patients who received neoadjuvant therapy, 38 were treated with CCRT and 25 were treated with chemotherapy. They regularly received follow-up until July 2021. The patients’ characteristics, including their clinical data, perioperative results, and pathologic outcomes, were analyzed. Results. The CCRT and chemotherapy groups did not significantly differ with respect to age, sex, or clinical stage (all

p
>
0.05

). Finally, radical gastrectomy was performed in 15 (39.5%) patients with neoadjuvant CCRT and 10 (40.0%) patients with neoadjuvant chemotherapy. Both groups did not significantly differ with respect to operation time, blood loss, operative morbidities, or postoperative length of stay (both

p
>
0.05

). The patients in the CCRT group exhibited favorable pathologic responses after treatment: three patients exhibited a pathologic complete response (pCR) and four, seven, and one patients exhibited a response at pathologic stages I, II, and III, respectively. By contrast, among the patients in the chemotherapy group after treatment, one patient exhibited a pCR and one, four, and four patients exhibited a response at pathologic stages I, II, and III, respectively. Conclusions. Radical resection in patients with LAGC is challenging. This study reports that neoadjuvant CCRT is associated with better pathologic response with no increase in serious postoperative complications. However, further prospective randomized trials involving patients with LAGC receiving neoadjuvant CCRT should be conducted to verify the findings of this retrospective study.
Research on Effect of Load Stimulation Change on Heart Rate Variability of Women Volleyball Athletes
Authors: Liao Ludi , Li Jianying
Published: March 2022

Objective. To explore the effect of different training load stimulation on heart rate variability level of Chinese elite female volleyball players. Through two-year follow-up experiment, this paper uses OmegaWave Sport Technology system to track and test the heart rate variability level and central nervous system parameters of 25 elite Chinese women volleyball players who participated in the national adult volleyball training in 2019 and 2020. It is found that the HRV time-domain index of the players under the stimulation of three stages of training load during the winter training in 2020 is determined. Frequency-domain index has significant influence on response stability of central nervous system. In order to further explore the influence of HRV on response stability of central nervous system, a feature classification method based on distance evaluation is proposed for experimental data processing. Through the multimodal human-machine interaction (M-HMI), advanced machine learning is used to promote the cooperative interaction between human and intelligent body. After analysis, SDNN and LF n.u. have a significant impact on the average reaction time. It shows that some indexes tested by the OmegaWave system can reflect the real-time physical function state of athletes sensitively and play an active role in diagnosis of fatigue of athletes’ central nervous system. HRV time-domain and frequency-domain indexes, as parameters to evaluate the body functional state of excellent female volleyball players in the preparation process of competition, can sensitively reflect the level of autonomic nerve regulation of athletes in three different load stages.
Human Amnion-Derived MSCs Alleviate Acute Lung Injury and Hinder Pulmonary Fibrosis Caused by Paraquat in Rats
Authors: Gong Liming , Wang Xiuxuan , Xu Shaohua , Liao Futuan , Zhou Manhong
Published: March 2022

Background/Aims. Paraquat is an effective herbicide used worldwide. Due to high lung toxicity and a lack of effective treatment, elevated morbidity and mortality occur after ingestion. Mesenchymal stem cells (MSCs) may be an option for repairing, remodeling, or regenerating lungs damaged by paraquat. Human amnion-derived mesenchymal stem cells (hAD-MSCs) have significant biological advantages including low immunogenicity and noninvasive acquisition for acute and chronic lung injury. In this study, the preclinical efficacy of hAD-MSCs in treating paraquat-induced acute lung injury and pulmonary fibrosis was investigated. Clinical cell therapy was replicated including the dose and timing of hAD-MSC treatment. Methods. First, the purity of hAD-MSCs was determined by morphological observation and FCM, and the effects on the survival of paraquat-poisoned Sprague-Dawley rats were observed. All rats were randomly divided into three groups, defined as the sham control group (

n
=
8

), model group (

n
=
15

), and hAD-MSC-transplanted group (

n
=
17

). Pneumonocyte damage and inflammatory cell infiltration were investigated in the three groups of rats, untreated control, paraquat only, and paraquat+hAD-MSC transplanted, using H&E staining. Fibrosis was investigated in three groups of rats using Masson’s trichrome staining and Sirius red staining. The profibrotic factor TGF-β1, the composition of fibrotic collagen HYP, and the hAD-MSC-secreted immunosuppressive factor HLA-G5 in serum were investigated in the three groups of rats using ELISA. Furthermore, the distribution of hAD-MSCs was investigated in the three groups of rats using immunohistochemistry and hematoxylin staining. Results. The hAD-MSCs exhibited typical hallmarks of MSCs, improved the state of being and survival of paraquat-poisoned rats, reduced both lung injury and inflammation, and inhibited the progression of pulmonary fibrosis by decreasing the deposition of collagen and the secretion of both TGF-β1 and HYP. The hAD-MSCs could survive in damaged lungs and secreted appropriate amounts of HLA-G5 into the serum. Conclusion. The obtained results indicate that hAD-MSCs used to treat paraquat-induced lung injury may work through anti-inflammatory and immunosuppressive pathways and the downregulation of profibrotic elements. This study suggests that the transplantation of hAD-MSCs is a promising therapeutic approach for the treatment of paraquat-intoxicated patients.
Evaluation of Toxicity and Oxidative Stress of 2-Acetylpyridine-N(4)-orthochlorophenyl Thiosemicarbazone
Authors: Lira Andressa Brito , Parrilha Gabrieli Lessa , Dias Gabriela Tafaela , de Sousa Saraiva Fernanda Samara , Veríssimo Gabriel Corrêa , de Sousa Rayane Siqueira , da Silva Teresinha Gonçalves , de Oliveira Filho Abrahão Alves , Alves Adriano Francisco , de Souza-Fagundes Elaine Maria , Beraldo Heloisa , Gomes Maria Aparecida , Diniz Margareth de Fatima Formiga Melo
Published: March 2022

Thiosemicarbazones are well known for their broad spectrum of action, including antitumoral and antiparasitic activities. Thiosemicarbazones work as chelating binders, reacting with metal ions. The objective of this work was to investigate the in silico, in vitro, and in vivo toxicity and oxidative stress of 2-acetylpyridine-N(4)-orthochlorophenyl thiosemicarbazone (TSC01). The in silico prediction showed good absorption by biological membranes and no theoretical toxicity. Also, the compound did not show cytotoxicity against Hep-G2 and HT-29 cells. In the acute nonclinical toxicological test, the animals treated with TSC01 showed behavioral changes of stimulus of the central nervous system (CNS) at 300 mg/kg. One hour after administration, a dose of 2000 mg/kg caused depressive signs. All changes disappeared after 24 h, with no deaths, which suggest an estimated LD50 of 5000 mg/kg and GSH 5. The group treated with 2000 mg/kg had an increase of water consumption and weight gain in the second week. The biochemical parameters presented no toxicity relevance, and the analysis of oxidative stress in the liver found an increase of lipid peroxidation and nitric oxide. However, histopathological analysis showed organ integrity was maintained without any changes. In conclusion, the results show the low toxicological potential of thiosemicarbazone derivative, indicating future safe use.
Construction of a Nomogram Model for Predicting Pleural Effusion Secondary to Severe Acute Pancreatitis
Authors: Zhou Bing-Mei , Qiu Zhao-Lei , Niu Kai-Xuan , Wang Yin-E. , Jie Fu-Chen
Published: March 2022

Background. This study aims to investigate the risk factors of pleural effusion (PE) secondary to severe acute pancreatitis (SAP) and to build a nomogram model. Methods. The clinical parameters of SAP patients admitted to the emergency department of the First Affiliated Hospital of Bengbu Medical College from January 2019 to August 2021 were retrospectively collected. The independence risk factors of PE secondary to SAP were analyzed by univariate analysis and multivariate logistic regression analysis. A nomogram risk prediction model was established and validated through the area under the ROC curve. Result. Two hundred twenty-two SAP patients were included for analysis, of which 65 patients experienced secondary PE. The incidence of PE secondary to SAP was 29.28% (65/222). Logistic regression analysis showed that serum albumin (ALB) (OR = 0.830, 95% CI: 0.736∼0.936), fibrinogen (FIB) (OR = 4.573, 95% CI: 1.795∼11.648), C-reactive protein (CRP) (OR = 1.046, 95% CI: 1.009∼1.083), acute physiology, chronic health score system (APACHE-II) score (OR = 1.484, 95% CI: 1.106∼1.990), and sequential organ failure score (SOFA) (OR = 43.038, 95% CI: 2.030∼4.548) were independent risk factors for PE secondary to SAP (

P
<
0.05

) and entered into the nomogram. The nomogram showed robust discrimination with an index of concordance of 0.755 and an area under the receiver operating characteristic curve of 0.837 (95% CI: 0.779∼0.894). Conclusion. We developed a nomogram model for PE secondary to SAP with ALB, FIB, CRP, APACHE-II scores, and SOFA scores. The nomogram model showed good discrimination and consistency, and it can better predict the risk of PE secondary to SAP.
The Regulatory Role of Neuropeptide Gene Glucagon in Colorectal Cancer: A Comprehensive Bioinformatic Analysis
Authors: Du Wenfeng , Miao Yue , Zhang Guoqing , Luo Guangcai , Yang Peng , Chen Fei , Zhang Benhua , Yang Chenggang , Li Gang , Chang Jin
Published: March 2022

Background. Colorectal cancer is highly prevalent and causes high global mortality, and glucagon axis has been implicated in colon cancer. The present study is aimed at investigating the regulating mechanisms of glucagon involvement in colorectal cancer. Methods. Publicly available data from the TCGA database was utilized to explore the expression pattern and regulating role of glucagon (GCG) in colorectal cancer (COADREAD) including colon adenocarcinomas (COAD) and rectum adenocarcinomas (READ). Statistical analyses were performed using the R software packages and public web servers. The expression pattern and prognostic significance of GCG gene in pan-cancer and TCGA-COADREAD data were investigated by performing unpaired and paired sample analyses. The association of GCG expression with clinical characteristics was investigated using logistic regression analysis. Univariate cox regression analysis was performed to test the prognostic value of GCG expression for overall survival in COADREAD patients. GCG-significantly correlated genes were obtained. Biological functions and signaling pathways were identified by performing functional enrichment analysis and Gene Set Enrichment Analysis (GSEA). Additionally, the potential involvement of GCG in tumor immunity was researched by investigating the correlation between GCG expression and 24 tumor infiltrating immune cells. Results. GCG was found to be significantly downregulated in COADREAD tumor samples compared with healthy control samples. GCG gene was shown to be associated with the prognostic outcomes of COADREAD, whereby its upregulation predicted improved survival outcomes. Functional enrichment analysis showed that the top 100 positively and top 100 negatively GCG-correlated genes were mainly enriched in three signaling pathways including ribosome, nitrogen metabolism, and proximal tubule bicarbonate reclamation. The GSEA showed that GCG-significantly correlated genes were mainly enriched in cell cycle-related pathways (reactome cell cycle, reactome cell cycle mitotic, reactome cell cycle checkpoints, reactome M phase, Reactome G2 M DNA damage checkpoint, and Reactome G2 M checkpoints), neuropeptide ligand receptor interaction, RHO GTPases signaling, WNT signaling, RUNX1 signaling, NOTCH signaling, ESR signaling, HCMV infection, and oxidative stress-related signaling. GCG was positively correlated with Th17 cells, pDC, macrophages, TFH cells, iDC, Tem, B cells, dendritic cells, neutrophils, mast cells, and eosinophils and was negatively associated with NK cells. Conclusions. GCG dysregulation with high prognostic value in COADREAD was noted. Several tumor progression-related pathways and tumor immune-modulatory cells were linked to GCG expression in COADREAD. Therefore, GCG may be regarded as a potential therapeutic target for treating colorectal cancer.
Evaluation of Cognitive Behavioral Therapy on Improving Pain, Fear Avoidance, and Self-Efficacy in Patients with Chronic Low Back Pain: A Systematic Review and Meta-Analysis
Authors: Yang Jiajia , Lo Wai Leung Ambrose , Zheng Fuming , Cheng Xue , Yu Qiuhua , Wang Chuhuai
Published: March 2022

Background. Cognitive-behavioral therapy (CBT) is commonly adopted in pain management programs for patients with chronic low back pain (CLBP). However, the benefits of CBT are still unclear. Objectives. This review investigated the effectiveness of CBT on pain, disability, fear avoidance, and self-efficacy in patients with CLBP. Methods. Databases including PubMed, EMBASE, Web of Science, Cochrane Library, and PsycINFO were searched. RCTs examining the effects of CBT in adults with CLBP were included. The data about the outcome of pain, disability, fear avoidance, and self-efficacy were retained. Subgroup analysis about the effects of CBT on posttreatment was conducted according to CBT versus control groups (waiting list/usual care, active therapy) and concurrent CBT versus CBT alone. A random-effects model was used, and statistical heterogeneity was explored. Results. 22 articles were included. The results indicated that CBT was superior to other therapies in improving disability (SMD −0.44, 95% CI −0.71 to −0.17,

P
<
0.05

), pain (SMD −0.32, 95% CI −0.57 to −0.06,

P
<
0.05

), fear avoidance (SMD −1.24, 95% CI −2.25 to −0.23,

P
<
0.05

), and self-efficacy (SMD 0.27, 95% CI 0.15 to 0.40,

P
<
0.05

) after intervention. No different effect was observed between CBT and other therapies in all the follow-up terms. Subgroup analysis suggested that CBT in conjunction with other interventions was in favor of other interventions alone to reduce pain and disability (

P
<
0.05

). Conclusion. CBT is beneficial in patients with CLBP for improving pain, disability, fear avoidance, and self-efficacy in CLBP patients. Further study is recommended to investigate the long-term benefits of CBT. This meta-analysis is registered with Prospero (registration number CRD42021224837).
Design of Auxiliary Teaching System for Preschool Education Specialty Courses Based on Artificial Intelligence
Authors: Weiwei Sun
Published: March 2022

In order to improve the data retrieval accuracy of preschool education major curriculum, this paper designs an auxiliary teaching system for preschool education specialty courses based on artificial intelligence. 2000 preschool education teachers and 3000 students in M city were selected to conduct a questionnaire survey to analyze the application status of artificial intelligence technology, advantages and disadvantages of assisted teaching, obstacles and training intentions of assisted teaching, and the impact on the personal development of teachers and students. Using artificial intelligence technology to improve the shortcomings of existing preschool education professional courses, through the Vue.js technology in the artificial intelligence method to achieve the MVVM mode sharing of preschool education professional courses, using MySQL database to achieve multiuser multithread operation of preschool education system, using MySQL data to complete data storage, C# was used as the programming language to design the learning module of preschool education professional courses, and the artificial intelligence-based preschool education professional course auxiliary teaching system was designed. The experimental results show that when the retrieval quantity of curriculum resources is 600 GB, the response time of resource retrieval of the designed system is 7 s, and the retrieval accuracy of curriculum data of education major can reach 95%. The performance of the system is good.
Adaptive Control System of Intelligent Lower Limb Prosthesis Based on 5G Virtual Reality
Authors: Yan Gongxing , Li Jialing , Xie Hui , Zhou Minggui
Published: March 2022

With the rapid development of computer science and technology in our country, especially the advent of the 5G network era, the emergence of smart prostheses makes it possible for disabled, injured, or amputee people with lower limbs to walk and exercise like normal people. However, due to the different selection of prosthetic materials, the final lower limb prostheses produced will also have different performance differences. How to select prosthetic materials to optimize the performance of the intelligent lower limb prosthesis is the focus of extensive discussion in the medical community. For this reason, this article takes the research of the adaptive control system of intelligent lower limb prosthesis based on 5G virtual reality as the research object. By using the current advanced 5G communication technology and virtual reality technology, a high-performance intelligent lower limb prosthesis is produced. Provide assistance with basic walking and motor abilities in daily life of patients with lower limb disabilities. This article first gives a systematic theoretical introduction to 5G virtual reality technology, expounds the current status of patients with lower limb disabilities, and proposes to use intelligent lower limb prosthetics to replace healthy lower limbs to solve the basic walking and sports needs of disabled patients in daily life and then use 5G virtual reality technology. The selection of human knee joints and ankle joints and structural system design were carried out. Finally, it was decided to use the four-bar linkage structure as the knee joint structure of the three-dimensional modeling of the intelligent lower limb prosthesis. At the end of this article, the application and simulation of the intelligent lower limb prosthesis to the human body were also carried out. The results of the experiment found that after 45 weeks of wearing exercises, the gait of the intelligent lower limb prosthesis is consistent with the expected effect whether it is walking on level ground and up and down the stairs or uphill. Due to the strong adaptiveness of the intelligent lower limb prosthesis sexual control, it can well assist the basic life movement ability of patients with lower limb disabilities.
Bayesian Estimation for the Doubly Censored Topp Leone Distribution using Approximate Methods and Fuzzy Type of Priors
Authors: Feroze Navid , Al-Alwan Ali , Noor-ul-Amin Muhammad , Ali Shajib , Alshenawy R.
Published: March 2022

The Topp Leone distribution (TLD) is a lifetime model having finite support and U-shaped hazard rate; these features distinguish it from the famous lifetime models such as gamma, Weibull, or Log-normal distribution. The Bayesian methods are very much linked to the Fuzzy sets. The Fuzzy priors can be used as prior information in the Bayesian models. This paper considers the posterior analysis of TLD, when the samples are doubly censored. The independent informative priors (IPs) which are very close to the Fuzzy priors have been proposed for the analysis. The symmetric and asymmetric loss functions have also been assumed for the analysis. As the marginal PDs are not available in a closed form, therefore, we have used a Quadrature method (QM), Lindley’s approximation (LA), Tierney and Kadane’s approximation (TKA), and Gibbs sampler (GS) for the approximate estimation of the parameters. A simulation study has been conducted to assess and compare the performance of various posterior estimators. In addition, a real dataset has been analyzed for the illustration of the applicability of the results obtained in the study. The study suggests that the TKA performs better than its counterparts.
Sports Action Recognition Based on Deep Learning and Clustering Extraction Algorithm
Authors: Fu Ming , Zhong Qun , Dong Jixue
Published: March 2022

This paper constructs a sports action recognition model based on deep learning (DL) and clustering extraction algorithm. For the input detection image frame, athletes’ movements are detected through DL network, and then athletes’ sports movements are fused. Moreover, it expands new knowledge and improves learning ability through automatic learning training set. The neural network (NN) is applied to the sample set containing images of nonathletes, and the negative training sample set is iteratively enhanced according to the generated false positives, and the results are optimized by clustering method. Simulation experiments show that compared with other algorithms, the clustering extraction algorithm in this paper has achieved superior performance in recognition rate and false alarm rate, and the recognition speed is faster. The aim is to extract the athletes’ training postures through the analysis of sports movements, so as to assist coaches to train athletes more professionally and provide some reference for sports movement recognition.
Dataset for Genome Sequencing and De Novo Assembly of the Candidate Phyla Radiation in Supragingival Plaque
Authors: Jiang Song , Nie Jie , Chen Yuxing , Zhang Shiying , Wang Xiaoyan , Chen Feng
Published: March 2022

The Candidate Phyla Radiation (CPR), as a newly discovered and difficult-to-culture bacterium, accounts for the majority of the bacterial domain, which may be related to various oral diseases, including dental caries. Restricted by laboratory culture conditions, there is limited knowledge about oral CPR. Advances in metagenomics provide a new way to study CPR through molecular biology. Here, we used metagenomic assembly and binning to reconstruct more and higher quality metagenome-assembled genomes (MAGs) of CPR from oral dental plaque. These MAGs represent novel CPR species, which differed from all known CPR organisms. Relative abundance of different CPR MAGs in the caries and caries-free group was estimated by mapping metagenomic reads to newly constructed MAGs. The relative abundance of two CPR MAGs was significantly increased in the caries group, indicating that there might be a relationship with caries activity. The detection of a large number of unclassified CPR MAGs in the dataset implies that the phylogenetic diversity of CPR is enormous. The results provide a reference value for exploring the ecological distribution and function of uncultured or difficult-to-culture microorganisms.
Construction of Dynamic Balance Model of Supply and Demand in Labor Market under Flexible Employment
Authors: He Meng
Published: March 2022

The dynamic balance of supply and demand in the labor market is a key issue at present. The change of employment quality is relatively complex. The current dynamic balance model of supply and demand cannot obtain high-precision evaluation results of employment quality and meet the requirements of practical application. Therefore, a dynamic balance model of labor market supply and demand under flexible employment is constructed. Big data network is used to set data acquisition channels, complete data collection, unify data sample format, formulate data processing flow, and obtain processed data samples. The correlation analysis method in big data analysis technology is used to complete the analysis of college graduation employment. This paper analyzes the relevant research work of employment quality evaluation, establishes the employment quality evaluation index system, collects the index data, normalizes the index data, then uses the grey correlation method to determine the weight value of the employment quality evaluation index, and uses the fuzzy c-means algorithm to establish the dynamic balance model of supply and demand in the labor market. The experimental results show that the designed method can better balance the supply-demand relationship in the labor market and has a good effect.
Development of Public Administration Research with a Bibliometric Analysis
Authors: Yu Zepeng
Published: March 2022

Recently, several studies adopted bibliometric methodology to estimate the development of the field of public administration (PA). However, only a small scope of journals was covered in their analyses. Few of those investigated the evolution of the entire field. To make a progress, this paper included a 19-year timespan, 53 journals, and more than 20,000 items for analysis in a bibliometric way. Both the activity and the quality indicators of research results were applied from the bibliometric perspective with 3-year and 5-year citation windows at three aggregation levels including journal, country, and institution by using publications in PA indexed in Social Sciences Citation Index (SSCI). “Resident” journal is proposed as a new concept to explore differences between traditional and emerging research forces. The results suggest that resident journals maintain a large advantage over other journals in terms of higher quality journal indicators and citation impact indicators. Moreover, international and national collaboration shows a growth tendency, especially for the international type. The majority of active institutions are from the US and the UK, which indicates their dominant position over others. This study provides more comprehensive comparisons through large-scale data and acknowledged methods to explore the development of PA field research.
Endoscopic Techniques for Lumbar Interbody Fusion: Principles and Context
Authors: Zheng Bryan , Shaaya Elias , Feler Josh , Leary Owen P. , Hagan Matthew J. , Bajaj Ankush , Fridley Jared S. , Hassel Frank , Gardocki Raymond , Grau Ricardo Casal , Lewandrowski Kai-Uwe , Telfeian Albert E.
Published: March 2022

Endoscopic techniques in spine surgery are rapidly evolving, with operations becoming progressively safer and less invasive. Lumbar interbody fusion (LIF) procedures comprise many spine procedures that have benefited from endoscopic assistance and minimally invasive approaches. Though considerable variation exists within endoscopic LIF, similar principles and techniques are common to all types. Nonetheless, innovations continually emerge, requiring trainees and experienced surgeons to maintain familiarity with the domain and its possibilities. We present two illustrative cases of endoscopic transforaminal lumbar interbody fusion with a comprehensive literature review of the different approaches to endoscopic LIF procedures.
Rcor2 Is Required for Somatic Differentiation and Represses Germline Cell Fate
Authors: Pei Lijuan , Zhang Hongjie , Zhang Meihui , Wang Yixuan , Wei Ke
Published: March 2022

Rcor2, the corepressor 2 of REST, a transcriptional repressor, is predominantly expressed in embryonic stem cells (ESCs) and plays a major role in regulating ESC pluripotency and neurogenesis. The function of Rcor2 in development of other germ layers is yet unclear. We utilized a Rcor2-/- mouse embryonic stem cell (mESC) line to investigate the role of Rcor2 in mESC differentiation. Rcor2-/- mESC shows reduced proliferation and severely compromised capacity to differentiate to all three germ layers. In contrast, Rcor2 knockout promotes primordial germ cells (PGCs) specific gene expression and possibly PGC formation. Mechanistically, we revealed that Rcor2 inhibits expression of genes required for PGC development, such as Dppa3 and Dazl, by associating to their promoters and enhancing local suppressive H3K9me3 modifications. Our results suggest that Rcor2 plays an important role in somatic cell fate determination by suppressing PGC differentiation through regulating epigenetic modifications of PGC specific genes.
The Interactive Design of Library Information Sharing in View of Network Communication Technology
Authors: Zhen Yeping
Published: March 2022

From the perspective of data viewing, interactive design is to present abstract information and data in a visual form through a computer interface. It is formulated based on a humanized and flexible human-computer interaction model. The interaction process between computers and humans requires careful thinking and design. It must follow the principle of “user first, machine second.” Understanding the audience’s psychology and behavior characteristics can effectively enhance computer vision interaction and expand the scope of the audience. The research in this study aimed at the interactive design of library information sharing based on network communication technology. It introduces the organizational structure of the library and analyzes in detail the problems that the current library information resource sharing still faces. Then, this study proposes a dynamic differentiated service mechanism of DDSM to improve the success rate of information transmission in the interactive design system. This study designs an experiment on the interactive design of library information sharing by multiple types of users. The results of the experiment show that students of all grades and teachers use the library and library websites more frequently. For the interactive information service of the library, users are most satisfied with the project attitude of the book recommendation service method. Its satisfaction rate reaches 68%, and it is also the most popular among users. The main purpose of the interaction between library users is to share knowledge. However, the current domestic academic libraries have a general sense of interactive information services, and the development speed has always been slower than that in foreign countries.
Plasticity of the Central Nervous System Involving Peripheral Nerve Transfer
Authors: Shen Jun
Published: March 2022

Peripheral nerve injury can lead to partial or complete loss of limb function, and nerve transfer is an effective surgical salvage for patients with these injuries. The inability of deprived cortical regions representing damaged nerves to overcome corresponding maladaptive plasticity after the reinnervation of muscle fibers and sensory receptors is thought to be correlated with lasting and unfavorable functional recovery. However, the concept of central nervous system plasticity is rarely elucidated in classical textbooks involving peripheral nerve injury, let alone peripheral nerve transfer. This article is aimed at providing a comprehensive understanding of central nervous system plasticity involving peripheral nerve injury by reviewing studies mainly in human or nonhuman primate and by highlighting the functional and structural modifications in the central nervous system after peripheral nerve transfer. Hopefully, it will help surgeons perform successful nerve transfer under the guidance of modern concepts in neuroplasticity.
Incidence and Prevalence of Multiple Sclerosis in Malmö, Southern Sweden
Authors: Alonso-Magdalena Lucía , Zia Elisabet , Carmona i Codina Olga , Pessah-Rasmussen Hélène , Sundström Peter
Published: March 2022

Objectives. To estimate the incidence and prevalence of multiple sclerosis (MS) in Malmö municipality in southwestern Sweden. Materials and Methods. Multiple sources were used in the case identification process. Case ascertainment was assessed by medical chart review including examinations such as magnetic resonance imaging, cerebrospinal fluid analyses, and relevant laboratory tests. Cases were classified according to the 2010 McDonald’s diagnostic criteria. Onset-adjusted prevalence and a definition of onset symptoms were applied. Results. The crude incidence of MS in 2001-2010 in Malmö municipality was 5.3/100,000 (95% confidence interval (CI): 4.5 to 6.2). There was a relapsing onset in 90.5% of cases. The female to male ratio was 1.8. The onset-adjusted prevalence for Dec 2010 was 133/100,000 (95% CI, 120 to 146) with a female to male ratio of 2.1. Conclusions. This is the first population-based epidemiological study in Skåne, the most southwestern part of Sweden showing a high incidence and prevalence. We found a lower incidence than expected according to previous nationwide figures, probably due to methodological differences between the studies. Our findings support the presence of a north-south gradient of MS prevalence in Sweden.
The Utilization of Chinese Herbal Products for Hyperthyroidism in National Health Insurance System (NHIRD) of Taiwan: A Population-Based Study
Authors: Chang Cheng-Chieh , Wu Szu-Ying , Lai Yun-Ru , Hung Yu-Chiang , Hsu Chung Y. , Chen Hsuan-Ju , Chu Cheng-Chung , Cheng Jai-Hong , Hu Wen-Long , Kuo Chun-En Aurea
Published: March 2022

Background. Traditional Chinese Medicine (TCM) relieves associated symptoms of hyperthyroidism such as heat intolerance, palpitations, tremor, anxiety, weight loss, increased frequency of bowel movements, and shortness of breath. However, there are no studies regarding the core prescription patterns of herbal formula and single herbs for hyperthyroidism in Taiwan. Materials and Methods. This is a retrospective, observational study using the National Health Insurance Research Database (NHIRD) in Taiwan to analyze the prescription patterns of TCM. Demographic factors, such as sex, age, occupational status, and residential area, and the risk factors for hyperthyroidism were also studied. Results. The outpatient or/and inpatient services for hyperthyroidism receive 17,707 cases in a year. Overall, there were 13,394 newly diagnosed patients. TCM was used in 73% of the patients, and 77.3% of the patients were females. The acceptability of TCM was higher among female patients. Most patients were diagnosed with hyperthyroidism between the ages of 30 and 49 years. The most common comorbidity identified was diabetes mellitus. The most commonly prescribed Chinese herbal product (CHP) formula was Jia-Wei-Xia-Yao-San, while Xia-Ku-Cao was the most commonly prescribed single CHP. There was a high coprescription rate for Xuan-Shen, Bei-Mu, and Mu-Li. Conclusion. This study describes the core prescription pattern of TCM used in the treatment of patients with hyperthyroidism in Taiwan. The most frequently used CHPs could be potential candidates for future pharmacologic studies or clinical trials.
Supply Chain Management System for Automobile Manufacturing Enterprises Based on SAP
Authors: Lin Pao-Ching , Shu Ming-Hung , Hsu Bi-Min , Hu Chien-Ming , Huang Jui-Chan
Published: March 2022

The heavy-duty truck industry has always been regarded as an “economic vane,” and as the carrier of production materials, its degree of cold and heat can better reflect the quality of the macroeconomic environment. The SAP system is currently the ERP software with the largest functions and the most sales and has been widely used by large domestic and foreign manufacturing enterprises. Because of its specific development for enterprises, it is also the most expensive ERP software in the world. This research integrates the existing information resources, takes SAP (system applications and products in data processing) system as the enterprise’s information platform, unifies the information platform into SAP system by integrating the existing information resources (financial system, logistics system, cost control system, production control system, etc.), avoids the information island phenomenon as far as possible, and finally realizes the integrated and unified enterprise information management, which is convenient for the rapid traceability of historical data, providing the best decision analysis method for managers. It is possible to eliminate all non-value-added operations in the value chain, find out the point of cost reduction and efficiency increase, comprehensively optimize the production value chain, improve production efficiency, and finally achieve the purpose of this book. The project implementation of automobile company adopts independent minicomputer system (HP server), with SAPR/3 system as the core and C/S (customer/service) architecture, so as to gradually expand the system function in the future. From the comparison before and after the launch of the SAP project, the above two indicators have increased by 1.5 times, the order fulfillment rate has increased from 30% to 45%, and the timely delivery rate has increased from 60% to 90%. Effective cost control can reduce costs, produce products with larger output and better quality at the same cost, and enable enterprises to maintain an advantage in the competition; effective cost control can also enable enterprises to develop a variety of configurations at the same cost. Products meet the individual needs of customers. The design of this article makes the company’s supply, production planning, logistics, and demand synchronized and integrated.
Semantic Segmentation of PHT Based on Improved DeeplabV3+
Authors: Fang Haiquan
Published: March 2022

This work aimed to address the two shortcomings of the printed and handwritten texts (PHT) classification. The classification accuracy of FCN and U-net, which are used for PHT pixel-level classification, still has room to improve. PHT public datasets have small sample sizes, and the generalization ability of the models is not good. In this paper, first, a pixel-level sample-making method for PHT identification was proposed, and a PHT dataset 2021 (PHTD 2021), containing 3,000 samples, was constructed. Second, because there is a large number of words but the contours are small in documents, the DeeplabV3+ model was improved. The network layer number and pooling times were reduced, and the convolution kernel and dilated rate were increased. In the experiment, the improved DeeplabV3+ model had a classification accuracy of 95.06% on the test samples from the PHTD 2021 dataset. The improved DeeplabV3+ model has a higher recognition accuracy than the FCN and DeeplabV3+ models. Finally, after the classification of PHT, applications of handwritten texts removal and handwritten texts extraction are provided.
Curcumin Alleviates DSS-Induced Anxiety-Like Behaviors via the Microbial-Brain-Gut Axis
Authors: Zhang Fan , Zhou Yanlin , Chen Haitao , Jiang Hao , Zhou Feini , Lv Bin , Xu Maosheng
Published: March 2022

The anxiety and depression caused by inflammatory bowel diseases (IBD) are known to greatly affect the mental health of patients. The mechanism of psychiatric disorders caused by IBD is not fully understood. Previous research has suggested that the gut microbiome plays a key role in IBD. Curcumin is a yellow polyphenol extracted from the rhizome of the ginger plant, which has been shown to have effects against both depression and anxiety. Research has indicated that curcumin affects the gut microbiome and exerts antianxiety and neuroprotective effects through the microbiota-gut-brain axis (MGB). However, whether curcumin can alleviate the psychiatric disorders caused by IBD and how curcumin affects the MGB axis through the gut microbiota have not been fully understood. Therefore, this study was aimed at determining the metabolic parameters and microbiological environment in the peripheral and central nervous system to determine the effects of curcumin against anxiety induced by dextran sulfate sodium salt (DSS) in mice. To elaborate on the link between the gut microbiota and how curcumin alleviates anxiety-like behaviors, we performed a fecal microbiota transplantation (FMT) experiment. The results suggested that curcumin can effectively relieve anxiety-like behaviors caused by DSS in mice. Further, curcumin treatment can alleviate disturbances in the gut microbiota and systemic disorders of lipid metabolism caused by DSS. Finally, through FMT, we verified that curcumin increased phosphatidylcholine in the prefrontal cortex of the mice and alleviated DSS-induced anxiety-like behaviors by modulating specific gut microbiota. We also revealed that Muribaculaceae may be a key part of the gut microbiota for curcumin to alleviate DSS-induced anxiety-like behaviors through the MGB axis.
An Effective Big Data Sharing Prototype Based on Ethereum Blockchain
Authors: Song Su
Published: March 2022

Because of its many advantages, big data has been extending to various domains of science, health, education, and commerce. Despite its many applications, big data sharing typically suffers from some key issues, such as user control, lack of incentives, cost, and the right of data. This paper proposes a decentralized big data sharing prototype to improve the applications and services of big data. The method makes use of Ethereum blockchain and related technologies to systematically recommend the implementation guidelines. The research provides a detailed description of the design and implementation of each sublayer of a big data system. As the method is based on blockchain technology, the key technical points are properly addressed in each of the layers. For evaluation, relevant data were collected, and functional testing was performed. A comparison was performed about the sharing frequency and blockchain consensus performance of similar platforms. The dual mining node of the proposed prototype succeeded in processing 1366 blocks and 300 messages. A comparatively satisfactory file access time in the range of 10 m to 20 s and file transmission time between 100 m and 200 s were achieved. The results obtained show that this prototype can effectively verify the feasibility of the model, the layered architecture, and the related sharing mechanism. For the functional and performance testing, practical projects were implemented and evaluated. The promising results obtained testify that the research offers a theoretical background for innovative research in the domain and specialized guidelines for practical implementation.