bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Zuo‐Gui Yin Decoction Effects on Six CYP450 Enzymes in Rats Using a Cocktail Method by UPLC‐MS/MS
Authors: Hong Bangzhen , Hong Shizhong , Hu Xuerui , He Fan , Shan Xiaoxiao , Wang Lei , Chen Weidong
Published: August 2022

Background. Zuo‐Gui Yin Decoction (ZGYD), a traditional Chinese prescription, is mainly used in various kinds of andrology and gynecology diseases. However, the study on the interaction of ZGYD and drugs has not been reported. Therefore, evaluating the interaction between ZGYD and metabolic enzymes is helpful to guide rational drug use. Objective. This study was conducted to explore the effects of ZGYD on the activity and mRNA expressions of six Cytochrome P450 (CYP450) enzymes in rats and to provide a basis for its rational clinical use. Methods. Sprague‐Dawley rats were randomly divided into control, ZGYD high, medium, and low‐dose group (n = 6). The concentrations of six probe substrates in plasma of rats in each group were determined by UPLC‐MS/MS. In addition, RT‐PCR and Western blot were used to determine the effects of ZGYD on the expression of CYP450 isoforms in the liver. Results. Compared with the control group, the main pharmacokinetic parameters AUC(0-t), AUC (0~∞), of omeprazole, dextromethorphan, and midazolam in the high‐dose group were significantly decreased, while the CL of these were significantly increased. The gene expressions of CYP2C11 and CYP3A1 were upregulated in the ZGYD medium, high‐dose group. The protein expression of CYP2C11 was upregulated in the high‐dose group, and the protein expression of CYP3A1 was upregulated in the medium, high‐dose group. Conclusion. The results showed that ZGYD exhibited the induction effects on CYP2C11 and CYP3A1 (CYP2C19 and CYP3A4 in humans) in rats. However, no significant change in CYP1A2, CYP2B1, CYP2C7, and CYP2D2 activities was observed. It would be useful for the safe and effective usage of ZGYD in clinic.
Olmesartan Improves Hepatic Sinusoidal Remodeling in Mice with Carbon Tetrachloride‐Induced Liver Fibrosis
Authors: Wu Ying , Ge Xue , Wang Si-Ning , Zhang Chun-Qing
Published: August 2022

Aim. In mice with liver fibrosis produced by carbon tetrachloride (CCl4), the effects of olmesartan on intrahepatic angiogenesis and sinusoidal remodeling will be evaluated. Methods. By injecting CCl4 into the peritoneal cavity, we established a mouse model of liver fibrosis. Using Sirius red and Masson trichrome staining, the extent of liver fibrosis in the animals was determined. Using immunohistochemical labeling and western blotting, the level of α‐smooth muscle actin (α‐SMA) expression, a characteristic of hepatic stellate cell activation, was assessed. Electron microscopy was used to determine the effect of olmesartan on hepatic sinusoidal capillarization, and immunohistochemical labeling was used to determine the expression levels of endothelial and basement membrane proteins in mouse liver tissues. Platelet‐derived growth factor (PDGF), IL‐10, vascular endothelial growth factor (VEGF), and angiotensin II levels in mouse serum were measured by Luminex multifactor analysis and ELISA. Olmesartan’s effect on the angiotensin II type 1 receptor (AT1R) and the VEGF receptor (VEGFR) was evaluated using western blotting. Results. Olmesartan reduced CCl4‐induced inflammatory cell infiltration and collagen deposition to alleviate liver fibrosis. α‐SMA expression was decreased, and HSC activation was inhibited in mouse liver tissues by olmesartan treatment. In addition, hepatic sinusoidal capillarization was improved under the action of olmesartan. The expression of collagen IV, fibronectin, CD31, and von Willebrand factor (VWF) in the olmesartan group was also markedly downregulated. In fibrotic mice, olmesartan medication decreased the levels of PDGF, VEGF, and angiotensin II, but it increased the level of IL‐10. Moreover, olmesartan reduced the expression of VEGFR‐1, VEGFR‐2, and AT1R relative to CCl4‐induced liver fibrosis. Conclusions. In mice with CCl4‐induced fibrosis, olmesartan lowers angiogenesis and improves hepatic sinusoidal remodeling, according to our findings. By acting on the angiotensin II‐AT1R‐VEGF axis, this is achieved.
Computer Wushu Sanda Teaching Mode of “Teaching by Competition and Training”
Authors: Xu Ba
Published: August 2022

According to the teaching innovation goal of “cultivating comprehensive talents” in international education, various topics that need to be answered in the development of Wushu teaching are selected. Using the methods of literature review and theoretical logic analysis, this paper clearly puts forward the latest idea of establishing the core quality framework system of Chinese traditional national physical education curriculum. The main research results point out: First, the core quality system of Chinese traditional national sports curriculum is mainly composed of three levels of martial ethics quality, martial arts quality, and health quality, including six basic elements. Secondly, the cultivation of martial arts morality attaches great importance to stimulating students' interest in martial arts, and advocates that students internalize martial arts morality in martial arts practice and comprehensive teaching of historical and humanistic education. The training strategy of martial arts quality is to cultivate students' panoramic and in-depth martial arts sports ability; the training strategy of quality is not only to pay attention to the design and dissemination of “characteristic” localized health professional knowledge. In addition, it is necessary to realize the comprehensive shaping of health care behavior of school teachers in the process of integrating skills and life. Therefore, in view of the teaching concept and teaching quality, this paper proposes a Wushu Sanda teaching mode based on computer data analysis, which can guide students from different aspects and greatly promote the development of Wushu Sanda education.
Surface Quality Automatic Inspection for Pharmaceutical Capsules Using Deep Learning
Authors: Dong Hao , Yang Jing , Wang Jun , Li Shaobo
Published: August 2022

Capsules are commonly used as containers for most pharmaceutical products. Thus, the quality of a capsule is closely related to the therapeutic effect of the products and patient health. At present, surface quality testing is an essential task in the actual production of pharmaceutical capsules. In this study, a deep learning-based capsule defect detection model, called CapsuleDet, is proposed to classify and localize defects in image sensor data from capsule production for practical application. A guided filter-based image enhancement method and hybrid data augmentation method are used in improving the quality and quantity of the raw data, respectively, to mitigate the low contrast issue and enhance the robustness of the model training. Deformable convolution module and attentional fusion feature pyramid are also used to improve the detection effect of capsule defects by effectively utilizing the semantic and geometric information in the extracted feature maps and catering to the detection of defects with different shapes and scales. The evaluation results on the capsule defect dataset demonstrate that the proposed method achieves 92.91% mean average precision and 22.16 frames per second. Moreover, its overall performance in terms of training time, model size, detection accuracy, and speed is better than that of the currently popular detectors.
Convergence for a Fixed Point of Evolution Families in Banach Space via Iterative Process
Authors: Shah Musharaf , Rahmat Gul , Shah Syed Inayat Ali , Bonyah Ebenezer , Shah Zahir , Shutaywi Meshal
Published: August 2022

In this paper, we present the convergence of Krasnoselskii Mann iterative process for common fixed points of pointwise Lipschitzian evolution family of bounded nonlinear operators on a Banach space ℜ.
[Retracted] A Study on the Application Model of Blended Teaching in English Language Teaching in Colleges and Universities under the Ecological and Internet Perspectives
Authors: Qiu Nengsheng , Qiu Xiaoqin
Published: August 2022

In order to better adapt to the relevant requirements of blended teaching in colleges and universities under the ecological environment and in the “Internet +” era, the “online + offline” blended teaching mode of college English in the Internet era is innovated to further highlight the subjectivity of students in the process of English learning status. First, this study deeply understands the current situation and problems of College English teaching from the perspective of the Internet by means of a questionnaire survey. On this basis, with the construction of the English teaching concept of “student‐centered and teacher‐led” as the core, this study puts forward and designs the “online and offline” mixed teaching mode of College English based on the support of mobile network technology. Through the teaching experiment, it is found that the total score of students in the mixed teaching mode is 6 points higher than that before, and the scores for English Cloze, writing, and reading are 2.75 points, 1.3 points, and 1.134 points, respectively. The feasibility and remarkable effect of the mixed teaching mode are verified.
A Monitoring System for Air Quality and Soil Environment in Mining Areas Based on the Internet of Things
Authors: Dai Hongjing , Huang Dena , Mao Haili
Published: August 2022

In order to solve the intensifying problem of heavy metal pollution of soil in mining areas, a method for monitoring air quality and soil environment in mining areas based on the Internet of Things is proposed. Using meta-analysis method and health risk assessment method, the impact of mining on soil heavy metal content in Southwest China was quantitatively analyzed, and the relationship between soil heavy metal value and its potential influencing factors was discussed, as well as the heavy metal pollution, ecological risk, and health caused by soil mining activities. Risks were assessed. The results showed that artificial and oral intake were the main modes of soil heavy metal exposure, with the highest daily intakes for noncarcinogenic risk children and the highest daily intakes for carcinogenic risk adult females. The noncarcinogenic risk (HQ>1) of soil As and Pb exposure to children was 3.74 and 1.44, respectively. The carcinogenic risk values of As, Cd, Cr, and Ni in soil were all higher than 10-6, indicating that the carcinogenic risk was within the tolerance range of human body. Children were exposed to the combined noncarcinogenic risk (

HI
=
3.83

), and the risk values of the three types of recipients were

1.19
×

10

−
4

,

1.21
×

10

−
4

, and

1.06
×

10

−
4

, respectively. The correlation between heavy metal content and environmental factors was obtained. It is verified that the system in this paper can effectively monitor the meteorological environment and soil environment, and at the same time, it reveals the pollution law of heavy metals in the soil of the mining area, which provides supporting conditions for future mining and heavy metal pollution management.
Sentimental Analysis of Industry 4.0 Perspectives Using a Graph-Based Bi-LSTM CNN Model
Authors: Venkatesan Dhilipkumar , Kannan Senthil Kumar , Arif Muhammad , Atif Muhammad , Ganeshan Arulkumaran
Published: August 2022

Today’s modern society mainly depends on Internet for every fundamental task in their life, like sharing thoughts, education, business, and Industry 4.0, etc. Internet has strengthened the base of society digitally. Searching for the reviews and comments for a particular product from the former or present customers has become compulsory for making decision or a purchase, helping them to make a fair deal of the product by view from social media on Industry 4.0. The increased use of data over Internet has led to rise of many e-commerce websites where people can buy things as per their requirement without even stepping out of their house using analysis of text using natural language techniques in Industry 4.0. The graph-based modelling of sentiment analysis classifier needs to divide the textual data into training dataset and testing dataset. First, preprocessing work is performed to improve the data reliability by removing unwanted information and fixing typing errors. To train the models, the whole dataset is used and to measure the classification performance of the categorized models 10-fold validation technique is being used. The paper proposes a combined hybrid model for sentiment analysis using CNN and independent bidirectional LSTM networks to enhance sentiment knowledge in order to address the issues mentioned for sentiment analysis. The proposed CNN model uses global max-pooling for retrieving context information and to downsample the dimensionality. Lastly, to acquire long term dependencies, a distinctive bidirectional LSTM is used. To emphasise each word's learning ability, parts-of-speech (PoS) are tagged in the LSTM layer. In addition, the regularization techniques, batch normalization, and dropout are used to prevent the overfitting issue. The proposed model is compared with a collaborative classifier with six classifiers and each of them predicts the sentiments separately, and the majority class prediction is taken under consideration. The proposed Bi-LSTM CNN model achieves an accuracy of 98.61% along with PoS tagging of the sentiments.
Communication in Oncology Outpatient Clinic Settings: Congruence of Quality of Life Assessment between Patient-Physician and Patient-Caregiver Dyads
Authors: Tang Chia-Chun , Hsi Chen , Wei-Wen Wu , Tsai I-Ni , Jaw-Shiun Tsai
Published: August 2022

Context. Exploring the congruence of health-related quality of life (HRQOL) evaluation provides valuable information regarding whether proxies can accurately reflect patient perceptions and the quality of symptom communication. It is particularly important in advanced cancer population who experience poor HRQOL and have deteriorated ability to express their feelings. Objectives. The aims of this study were to investigate the congruence of HRQOL reports between patient-physician and patient-caregiver dyads and to determine the association of variables, if any, with the congruence between dyads. Methods. This correlational study with a cross-sectional design first approached physicians who provided care for patients with advanced cancer at the participating institution. Then, participating physicians’ patients and their caregivers were recruited. All participants were required to independently fill out an HRQOL questionnaire during their outpatient visits. Descriptive statistics, weighted kappa, Wilcoxon signed-rank test, and linear regression were employed for data analysis. Results. A total of 52 patient-physician and 27 patient-caregiver dyads were examined. Patients suffered from considerable problems in all three HRQOL domains: symptom, functioning, and overall HRQOL. The patients’ level of agreement was moderate with the caregivers and fair with the physicians. A significant relationship was found between several patient-related variables and disagreement. Conclusion. These patients with advanced cancer experienced a compromised HRQOL, warranting immediate attention. When there are barriers to obtaining a patient’s self-report, clinicians may consider caregivers as a reasonable source. Patients with special characteristics need additional attention because their problems may be at a greater risk of being overlooked.
Application of the Laplace Transform to a New Form of Fractional Kinetic Equation Involving the Composition of the Galúe Struve Function and the Mittag–Leffler Function
Authors: Sharma Komal Prasad , Bhargava Alok , Suthar D. L.
Published: August 2022

The great importance of the fractional kinetic equations (FKEs) can be seen in the very recent research work of proposing such new equations and finding their solutions by different analytical and numerical methods. The paramount purpose of the present work is to proffer and study new FKEs involving the composition of the generalized Galúe Struve function of first kind and k-Mittag–Leffler function and apply a very influential effective analytical approach based on Laplace transform to find their analytical solutions. The obtained solutions have been presented with some real values and the simulation done via MATLAB. Furthermore, the numerical and graphical interpretations are also mentioned to illustrate the main results. Some special cases are to be taken under consideration to get the results in simpler form.
MicroRNA-613 Enhances Nasopharyngeal Carcinoma Cell Radiosensitivity via the DNA Methyltransferase 3B/Tissue Inhibitor of Matrix Metalloproteinase-3/Signal Transducer and Activator of Transcription-1/Forkhead Box O-1 Axis
Authors: Deng Liqiang , Yin Qing , Liu Shuyun , Luo Debao
Published: August 2022

Nasopharyngeal carcinoma (NPC) is a common malignancy of the nasopharynx, and radioresistant represents the main obstacle in NPC treatment. Malignant transformation of normal cells is driven by genetic and epigenetic changes, which are primarily manifested as changes in miRNA levels and DNA methylation status. microRNA (miR)-613 plays an inhibitory role in several types of cancer. Herein, the current study sought to explore the roles of miR-613 in NPC cell radiosensitivity. miR-613 expression patterns in NPC tissues were detected, and its correlation with clinical indexes was analyzed. NP-69 and C666-1 cell lines were selected for cellular experimentation. Radioresistant cell line C666-1R was obtained by fractionated radiation. Cell viability, survival fraction, and apoptosis were detected by CCK-8, colony formation assay, and flow cytometry. The binding relation between miR-613 and DNMT3B was verified by dual-luciferase and RIP assays. miR-613 was lowly expressed in NPC tissues and cells, with lower expression levels in C666-1R than C666-1, and further correlated with lymph node metastasis, tumor size, and tumor metastasis. miR-613 overexpression reduced C666-1R cell viability and survival fraction and increased apoptosis, while C666-1 cells with silencing miR-613 presented the opposite trends. miR-613 targeted DNMT3B. miR-613 and DNMT3B overexpression led to enhanced C666-1R cell viability and survival fraction and decreased apoptosis. miR-613 reduced TIMP3 methylation and elevated TIMP3 protein level by inhibiting DNMT3B. miR-613 enhanced NPC radiosensitivity by inhibiting the DNMT3B/TIMP3/STAT1/FOXO1 pathway. Collectively, miR-613 inhibited DNMT3B, reduced TIMP3 methylation, and increased TIMP3 protein level, thus inhibiting the STAT1/FOXO1 pathway and enhancing the radiosensitivity of NPC cells.
Naive Bayes Algorithm Mining Mobile Phone Trojan Crime Clues
Authors: Zhao Fugang
Published: August 2022

After the mobile phone virus infects the mobile phone, it can transmit the real-time information of the user to the designated place set by the virus through the built-in recorder and camera on the mobile phone, thereby causing information leakage. With the rapid development of the Internet, the penetration rate of mobile terminals is also increasing day by day. As an emerging mobile terminal, smart phones have now fully occupied the market. With this trend, the importance of mobile phone information security is also increasing day by day. How to prevent mobile phone virus has gradually become an important issue. Trojan horse crime cases have different manifestations and behavioral characteristics from traditional cases. They have the characteristics of low crime cost, high income, high concealment, novel criminal methods, and great difficulty in detection, which brings greater difficulties to the public security organs in their investigation and detection. And the current research on mobile phone virus behavior is still in the preliminary stage, and some existing detection models can only target random networks. Trojan horses, viruses, and malicious software for smartphones have sprung up like mushrooms after rain, seriously infringing on the data security of mobile communication terminals, such as mobile phones and causing incalculable losses to users. This paper proposes a naive Bayesian algorithm to mine the clues of the criminal cases of mobile phone Trojans. It helps detect and discover new viruses at the beginning of an attack, allowing them to be more effectively defended and contained. And based on the feature set data extracted from the network data packets, it conducts an in-depth analysis of the current business behaviors of mobile phone Trojans, such as propagation and implantation, remote control, leakage of user privacy information, and malicious ordering, and extracts its behavior characteristics. Thus, unknown mobile Trojan horses that are taking place can be detected. The experimental results of the naive Bayesian classification algorithm proposed in this paper show that the algorithm improves the accuracy of mobile phone Trojan virus mining by 28%, which plays a significant role.
Certificateless Authentication Scheme Based on Blockchain in Smart Home Network
Authors: Zhang Xingang , Li He , Tian Xiao , Zhang Rui , Qi Qinglei
Published: August 2022

The traditional centralized intelligent home network security authentication schemes have security problems such as integrity and confidentiality, while the distributed schemes have the problem of delayed authentication. These schemes are not suitable for the intelligent home environment of edge computing. To solve these problems, a certificateless smart home network authentication scheme based on blockchain and certificateless cryptosystem is proposed to realize mutual authentication among users, intelligent terminals (ITs), and intelligent gateways (IGs). The aggregation signature scheme of certificateless identity is introduced into the authentication of intelligent terminals in smart home network. The IG only needs to generate a signature to complete the identity authentication of multiple ITs. Compared with other authentication schemes, the security verification and performance analysis show that the proposed scheme uses less computation overhead and achieves more security features.
The Resilience Evaluation of Agricultural Supply Chain in Green Transformation under “Double-Carbon” Emission Goal
Authors: Jin Ya-Nan , Zhang Qingli , Zhang Jinsong
Published: August 2022

The “carbon peak and carbon neutral” emission target has set new requirements for the supply chain structure, exacerbated by the complexity and vulnerability of the agricultural sector and global supply chains after the COVID-19 outbreak. Under these circumstances, the resilience evaluation of the agricultural supply chain based on green transformation became an important subject. Based on this topic with outstanding problems, this paper evaluates the resilience level of the agricultural supply chain in northeast China with the goal of achieving the “double carbon” objective. By focusing on its resilience, we selected Heilongjiang, Jilin, and Liaoning provinces as research subjects and collected the agricultural supply chain-related data from 2010 to 2019. Based on the relationship between supply chain nodes and the operation system, an evaluation model containing three levels was established. The entropy weight method and TOWA operator were used to carry out secondary weighting on the evaluation system and time levels containing 12 indicators, following the evaluation of the resilience level of the agricultural supply chain in three static and dynamic dimensions using the grey correlation method. The results show that the importance of the evaluation level of “internode resilience level” has always been a priority during the decade. Therefore, it is pointed out that the resilience construction and green transformation of the agricultural supply chain should be strengthened and implemented from the following three aspects: strengthening agricultural modernization, optimizing supply chain operation, and the implementation and promotion of effective policies.
Study on Employee Performance Evaluation Based on Adaptive Feature Selection Fuzzy Algorithm
Authors: Qian Yuan , Yin Jiemin
Published: August 2022

In our study, in terms of performance evaluation methods, the performance evaluation algorithm based on genetic algorithm and fuzzy comprehensive performance evaluation algorithm is introduced, their advantages and disadvantages are compared and analyzed, and the design idea of fuzzy performance evaluation algorithm based on compound elements is proposed. It can be divided into seven steps: first, clarify the evaluation purpose and object; second, select the optimal evaluation mode and method; third, compile the evaluation index system; fourth, it is to collect information extensively; fifth, the evaluation adopts a variety of methods, multiple angles, and multiple sides to collect materials so that the conclusion of the evaluation has sufficient factual basis; the sixth is to process the information and make a comprehensive evaluation; the seventh is to analyze the results and write an evaluation report. Based on the existing algorithms, the fuzzy performance evaluation algorithm based on compound elements is studied, and the detailed design of the algorithm is presented. Through the comparison and analysis of the performance evaluation algorithm based on compound elements and the performance evaluation algorithm of specific elements, the superiority of the performance evaluation algorithm based on compound elements is experimentally verified by comparing the operation time and classification accuracy. The performance evaluation system based on the performance evaluation algorithm designed in this study, combined with the official business of the performance evaluation system, modularizes the administrative management activities of the enterprise, digitizes the electronic office information, and conducts in-depth exploration of the unstructured natural language. A real-time performance evaluation system based on the arrangement of corporate administrative activities has been established. By designing and implementing a performance-assisted analysis system based on text content analysis, which is suitable for performance evaluation systems, it solves the imperfect problem of performance evaluation based on electronic enterprise administrative management.
Risk Field Model Construction and Risk Classification of Hazardous Chemical Transportation
Authors: Chang Lv , Liu Qiongqiong , Yan Jin , Liu Peng , Zhu Sida , Hu Xiaoming , Ni Jun , Zhang Tong
Published: August 2022

To reduce the risk of hazardous chemical road transportation, domestic and foreign scholars have analyzed transportation risks from theoretical points of view and built risk assessment models. Based on 483 cases of hazardous chemical road transportation accidents from 2015 to 2019, this paper analyzes the causes of accidents from the perspective of traffic regulations and constructs a risk field model of hazardous chemical transportation. Through the simulation of an accident by TruckSim, a risk classification is completed according to the risk field model of hazardous chemical transportation. The results show that the model can be used to evaluate the risk of hazardous chemical transportation in complex environments and provide criteria for the safe control of hazardous chemical transportation vehicles.
Minor Recurrent Aphthous Ulcer Management with Hyaluronic Acid Gel in an Italian Cohort: A Double‐Blind Randomized Clinical Trial
Authors: Savadori Paolo , Rai Pooja Mali , Tadakamadla Santhosh , Khijmatgar Shahnawaz , Inchingolo Francesco , Greco Christian , Occhipinti Chiara , Fahim Maggie Stephen , Del Fabbro Massimo , Tartaglia Gianluca Martino
Published: August 2022

Background. Recurrent aphthous ulcer is a common mucosal disease and encompasses diverse interventions for its management of symptoms like pain and discomfort. Since new therapies keep evolving with better outcomes as compared to traditional interventions, one such therapy using hyaluronic acid has been recently explored using clinical studies based on advances in dental therapeutics. Therefore, we designed this clinical study which is double blinded and randomized using minor recurrent aphthous cases. Objective. To evaluate the efficacy of hyaluronic acid topical oral gel in the treatment of minor RAS ulcers, with regard to pain relief and reduction in ulcer size. Design. A double‐blind randomized controlled clinical trial was designed to conduct an experimental research at IRCCS Fondazione Ca’ Granda, Ospedale Maggiore Policlinico, Milan. The participants were recruited from the unit of oral maxillofacial surgery and randomly assigned to test (hyaluronic acid gel) and control groups (placebo gel). 1 : 1 computer‐generated random sequence was prepared, and opaque closed envelopes were used for allocation concealment. Participants and clinical investigators were blinded. The outcome measures included ulcer size (mm) and the visual analogue scale for pain and healing as a secondary outcome measure (efficacy index). Results. The mean baseline score for ulcer size for the test group was 1.85 ± 1 and the placebo group was 1.85 ± 1.2. At day 7, the test group was 1 ± 1.5 and the placebo group was 2 ± 1.5 (p < 0.001). There was significant reduction in ulcer size as compared to the placebo group. In addition, there was significant improvement in pain levels (p < 0.01) in the test group as compared to the control group. Conclusion. In conclusion, there was significant decrease in the size of the ulcer in the test group as compared to the placebo group. Hyaluronic acid seems to have promising effects on the ulcer size and pain relief associated with minor aphthous ulcers. Trial Registration. The protocol of this clinical trial was registered with the Clinical Trial Registry of ISRCTN with study ID ISRCTN16509838, registered 30 June 2020. It can be accessed on this URL: 10.1186/ISRCTN16509838
Research on the Construction Path of Characteristic Tourism Resource Development System and Platform under the Background of Rural Revitalization
Authors: Kang Xiaomei
Published: August 2022

In order to improve the development effect of tourism resources with rural characteristics, this paper combines the digital communication signal modulation technology to process the related data of tourism resources. Moreover, before the quadrature demodulation of the tourism information signal is carried out in this paper, the symbol rate is estimated, and the signal-to-noise ratio and the symbol rate of the digital communication signal are estimated to improve the development effect of tourism resources. The estimation of the signal symbol rate is obtained by statistical analysis of the instantaneous characteristics of the signal in the time domain, and it can also be obtained by measuring the length of the adjacent transition points of the instantaneous amplitude. In addition, this paper constructs a rural characteristic tourism resource development and management system based on communication signal modulation technology. Finally, through test research, this paper verifies that the rural characteristic tourism resource development platform proposed in this paper has a good effect on the development and management of rural characteristic tourism resources.
A Digital Assessment Method for Multisource Influence Factors on Corrosion Characteristics in the Karst Areas
Authors: Gu Zhanfei , Liu Zhikui
Published: August 2022

Taking dolomite and limestone in Guilin and Liuzhou regions in the north of Guangxi Province as research objects, this paper analyzed their mineral composition and chemical composition and proposed a digital assessment method for multi-source factors on corrosion characteristics in the Karst areas. Specifically, the chemical corrosion test, the corrosion test under the chemical-temperature actions, and the corrosion test under the action of vibration load are carried out from the digital view, respectively. Four aspects can be found in digital assessment results. Firstly, the dolomite in northern Guangxi mainly has a fine crystalline texture and a massive structure with low content of acid-insoluble matters, while limestone mainly has a powder crystalline texture and a massive structure with high content of acid-insoluble matters, and the purity of both dolomite and limestone are very high. Secondly, the difference of corrosion between dolomite and limestone mainly depends on the ratio of CaO/MgO in their chemical composition and the content of silica and acid insoluble matters. Thirdly, the corrosion rates of pure dolomite and pure limestone are basically the same under the same external conditions. Finally, temperature and vibration load have a relatively large influence on the corrosion rates of dolomite and limestone, and the corrosion rates of dolomite and limestone increase with the increase of temperature, but the influence of vibration load on the corrosion rate is more significant than temperature. This research can provide theoretical basis and technical support for large-scale engineering construction and prevention of karst geologic disasters in karst stone mountainous areas in northern Guangxi.
An Untargeted Lipidomics Study of Acute Ischemic Stroke with Hyperglycemia Based on Ultrahigh-Performance Liquid Chromatography-Mass Spectrometry
Authors: Guo Jia , Wang Hailan , Jiang Xin , Wang Yan , Zhang Zhihao , Liao Qingbin , Xu Jia
Published: August 2022

Patients with type 2 diabetes have twice as much of the risk of acute ischemic stroke (AIS) occurrence as healthy individuals, and the AIS patients with type 2 diabetes have a higher risk of death and a poorer prognosis. This study was to investigate the interrelationship between hyperglycemia and AIS and provided a reference for blood glucose management of AIS patients. The blood glucose level of AIS patients of the present study was controlled by insulin below 180 mg/dL (standard group) and between 80 and 130 mg/dL (management group). And the fasting venous blood samples were collected for determination of blood glucose level, homeostasis model assessment of insulin resistance (HOMA-IR), peptide C, and basal insulin level. Furthermore, lipids of the blood samples were detected using metabolomics, so as to clarify the similarities and differences in metabolic patterns in AIS patients with diabetes after the intervention of different glycemic strategies. The results revealed that compared to the standard group, the blood glucose level and HOMA-IR in the management group were significantly decreased, and levels of peptide C and basal insulin level were greatly increased. Through lipidomics detection, 83, 50, and 44 types of significantly upregulated differential lipids were detected in the standard vs. normal groups, the standard vs. management groups, and the management vs. normal groups, respectively, with triacylglycerol dominated. This study preliminarily revealed metabolic differences among AIS patients with hyperglycemia after different blood glucose intervention methods, hoping to provide a theoretical basis for clinical prevention and treatment of this disease.
[Retracted] Clinical Observation of the Effect of Nasal Breathing on Nonanalgesic and Sedative Gastroscopy
Authors: Zhang Xuzhen
Published: August 2022

This study aimed to investigate the safety, tolerance, and comfort of the subjects in gastroscopy by observing and comparing the effect of gastroscopy under two different breathing modes: nasal breathing and nasal inspiration and oral expiration. A total of 60 subjects who underwent routine gastroscopy in the hospital from January 2021 to June 2021 were selected as the research subjects. According to the willingness of the subjects, they were divided into a nasal breathing group and a nasal inspiration and oral expiration group. The differences in vital signs, adverse reactions, and visual analog scale (VAS) scores were compared between the two groups. There were no significant differences in mean arterial pressure, heart rate, and blood oxygen saturation between the two groups before, during, and after the examination (P > 0.05). The nasal breathing group had fewer adverse reactions such as nausea, cough, belching, and restlessness than the nasal inspiration and oral expiration group, and the difference was statistically significant (P < 0.01). VAS score of the nasal breathing group was lower than that of the nasal inspiration and oral expiration group, and the difference was statistically significant (P < 0.01). Subjects are more tolerant to nasal breathing mode, which causes fewer adverse reactions, less pain, and more comfort and is more worthy to be popularized in primary hospitals.
FECH Expression Correlates with the Prognosis and Tumor Immune Microenvironment in Clear Cell Renal Cell Carcinoma
Authors: Zhong Guanghui , Li Qing , Luo Yang , Liu Yufeng , Liu Dawei , li Bin , Wang Tao
Published: August 2022

Background. Clear cell renal cell carcinoma (ccRCC) is, by far, the most prevalent and fatal kind of kidney cancer. Ferrochelatase (FECH) is an enzyme that performs a significant function in the onset and progression of many distinct kinds of malignant tumors. Nevertheless, its predictive usefulness in renal clear cell carcinoma (RCC) has not yet been fully investigated. Methods. FECH expression in ccRCC and healthy adjoining tissues was primarily screened utilizing data sourced from The Cancer Genome Atlas (TCGA) and subsequently validated using data from an independent cohort derived from the Gene Expression Omnibus (GEO) and the Human Protein Atlas HPA databases. The relationship among FECH expression, clinicopathological parameters, and overall survival (OS) was assessed utilizing multivariate analysis and Kaplan–Meier survival curves. Additionally, the protein networks with FECH interaction were constructed with the aid of the online Search Tool for the Retrieval of Interacting Genes/Proteins (STRING). Gene ontology (GO) analysis, and gene set enrichment analysis (GSEA) were conducted based on TCGA data, and a single-sample GSEA was utilized to explore the link between FECH expression and the infiltration status of immune cells in the tumor. The Gene Expression Profiling Interactive Analysis (GEPIA) and TIMER databases were utilized to investigate the relationships of FECH expression with the infiltrating immune cells and the matching gene marker sets. Results. FECH expression was shown to be substantially lowered in ccRCC tumors as opposed to that observed in normal tissues (

p
<
0.05

). Lower levels of FECH expression were shown to have a strong association with higher grades of cancer and more advanced TNM stages. The findings of multivariate and univariate analyses illustrated that the OS in patients with ccRCC with low FECH expression is shorter in contrast with that in the high FECH expression group (

p
<
0.05

). It was discovered that CPOX and frataxin are key proteins that interact with FECH. ccRCC with FECH deficiency was linked to the lack of infiltrating immune cells and their respective marker sets, which included CD4+ T cells. Conclusion. In ccRCC, decreased FECH expression was linked to disease progression, unfavorable prognosis, and impaired immune cell infiltration.
Development Countermeasures of Business Management Informatization Based on Machine Learning Algorithm
Authors: Chen Huiya
Published: August 2022

Business management is an important part of social service and governance. With the development of economy and technology, the pressure on enterprises to participate in the market competition is gradually increasing. Therefore, it is particularly important to establish an information-based business management system. However, there are still many problems in the process of informatization development of enterprise business management, which seriously restricts the comprehensive development of enterprises. On the one hand, the existing business management information system lacks effective security and supervision links. On the other hand, there is a lack of professional information technology personnel within the enterprise. Machine learning is a discipline that specializes in how to simulate human learning behavior, and it can continuously learn new knowledge structures to make itself progress and develop. The development of enterprise business management informatization is consistent with the development direction of machine learning itself. Therefore, this paper proposes a business management informatization construction method based on a machine learning algorithm, which aims to further promote the development of enterprises in the direction of informatization and modernization and improve the informatization level of enterprises. Experiments show that with the support of machine learning technology, the level of enterprise business management informatization can reach 82.31%, fully indicating that machine learning can help enterprises innovate management models and improve the level of information management of enterprises.
[Retracted] Qingchang Wenzhong Decoction Alleviates DSS‐Induced Inflammatory Bowel Disease by Inhibiting M1 Macrophage Polarization In Vitro and In Vivo
Authors: Lu Qiongqiong , Li Junxiang , Ding Panghua , Mao Tangyou , Shi Lei , Sun Zhongmei , Tan Xiang , Jiang Hui , Dong Junying , Li Yalan , Yang Xiaojun , Shi Rui
Published: August 2022

Background. An imbalance of macrophage M1/M2 polarization significantly influences the pathogenesis of inflammatory bowel disease. Qingchang Wenzhong decoction (QCWZD) has a proven therapeutic effect on patients with inflammatory bowel disease (IBD) and can significantly inhibit the inflammatory response in mice with colitis. However, its effect on macrophages during IBD treatment remains nebulous. Aim of the Study. Explore the mechanism underlying QCWZD effects in a dextran sulfate sodium (DSS)‐induced colitis mouse model in vivo and RAW264.7 cell in vitro by observing macrophage polarization dynamics. Methods. The main active components of QCWZD were determined using high‐performance liquid chromatography. Surface marker expression on M1‐type macrophages was analyzed using flow cytometry and immunofluorescence. The effect on inducible nitric oxide synthase (iNOS), interleukin‐6 (IL‐6), and tumor necrosis factor‐α (TNF‐α) released by M1 type macrophages was determined using ELSA and RT‐PCR. The expression of key proteins in the JAK2/STAT3 signaling pathway was analyzed using western blotting. QCWZD cytotoxicity in macrophages was measured using CCK8 and Annexin V‐FITC/PI assays. Results. The main active components of QCWZD were berberine chloride, coptisine chloride, epiberberine chloride, gallic acid, ginsenoside Rg1, ginsenoside Rb1, indigo, indirubin, notoginsenoside R1, palmatine chloride, and 6‐curcumin. QCWZD markedly alleviated DSS‐induced colitis in mice, as revealed by the rescued weight loss and disease activity index, attenuated the colonic shortening and mucosal injury associated with the inhibition of M1 macrophage polarization and expression of related cytokines, such as IL‐6 and TNF‐α, in vivo and in vitro. Furthermore, QCWZD decreased the iNOS, JAK2, and STAT3 levels in vivo and in vitro, regulating the JAK2/STAT3 signaling pathway. Conclusion. QCWZD administration improves intestinal inflammation by inhibiting M1 macrophage polarization. The JAK2/STAT3 signaling pathway may mediate the effects of QCWZD on M1 macrophage polarization in colitis treatment. This study presents a novel macrophage‐mediated therapeutic strategy for the treatment of IBD.
Assessment of Disaster Loss Index and Characteristics of Gale Disaster in Typical Arid and Semiarid Lands
Authors: Chen Baoxin , Wang Xu , Wang Xi , Zhou Shengqing , Gong Hanxiang
Published: August 2022

This study aims to illustrate the various characteristics of gale disaster loss in typical arid and semiarid areas and to divide the classification of disaster loss. Based on 1399 gale disasters in 48 counties (or cities) of Southern Xinjiang, the typical arid and semiarid lands, during 1980–2019, the disaster loss index, which comprehensively expresses six disaster factors, is constructed through mathematical statistics. The percentile method is used to divide the disaster loss index into four levels: mild (level I), moderate (level II), severe (level III), and very severe (level IV). The geographical distribution, annual variation, and interannual variation characteristics of the frequency and intensity of gale disasters in Southern Xinjiang were analyzed from the overall and different levels. The results show that the most frequent and hardest‐hit areas in Southern Xinjiang are concentrated in Turpan and Aksu. The gale disasters have their peak occurrence in April with the most vigorous intensity. The frequency of gale disasters in Southern Xinjiang has increased yearly, but the intensity did not show a fluctuation trend. The frequency and intensity of level I to III gale disasters increased yearly, but the frequency and intensity of level IV gale disasters did not fluctuate. Identifying high‐risk areas and periods of gale disaster loss is conducive to the policy formulation and hierarchical management of disaster prevention and control in arid and semiarid lands.
Antiobesity Potential of Bioactive Constituents from Dichloromethane Extract of Psoralea corylifolia L. Seeds
Authors: Mahajan Neha , Koul Bhupendra , Kaur Jasleen , Bishnoi Mahendra , Gupta Pankaj , Kumar Amit , Shah Bhahwal Ali , Mubeen Iqra , Rai Ashutosh Kumar , Prasad Ram , Singh Joginder
Published: August 2022

Purpose. Effectively controlling the accumulation of adipose tissue can be a therapeutic strategy for treating obesity, which is a global problem. The present study was designed for comparative assessment of in vitro antiobesity activities of the Psoralea corylifolia‐dichloromethane seed extract (DCME) and the isolated phytochemicals, bakuchiol, isopsoralen, and psoralen, through antiadipogenesis and pancreatic lipase (PL) inhibition assays. Material and Methods. In vitro pancreatic lipase activity was determined spectrophotometrically by measuring the hydrolysis of p‐nitrophenyl butyrate (p‐NPB) to p‐nitrophenol at 405 nm, and adipogenesis was assayed in 3 T3‐L1 adipocytes (by using Oil Red O staining) using P. corylifolia‐dichloromethane seed extract (DCME) and individual compounds, isolated from the extract. Result. Antilipase as well as antiadipogenesis activity was displayed by both the DCME and the compounds. Maximum antilipase property was recorded in DCME (26.02 ± .041%) at 100 μg/ml, while, among the isolated compounds, bakuchiol exhibited a higher activity (24.2 ± 0.037%) at 100 μg/ml concentration, compared to other isolates. DCME was found to exhibit antiadipogenesis property, 75 ± 0.003% lipid accumulation, compared to the control at 100 μg/ml dose. Bakuchiol, isopsoralen, and psoralen inhibited the lipid accumulation in 3T3‐L1 preadipocytes, 78.06 ± 0.002%, 80.91 ± 0.004%, and 80.91 ± 0.001%, respectively, lipid accumulation in comparison to control at 25 μM dose. Conclusion. The present study highlights the antiobesity potential of P. corylifolia and its active constituents. Thus, it can be concluded that P. corylifolia has the potential to treat obesity and related diseases; however, further research on dose standardization and clinical trials are required.