bluuebunny/crossref_metadata_2025 huggingface dataset:
Application Research of Data Encryption Algorithm in Computer Security Management
Authors: Gong Qianru
Published: July 2022

In order to promote the research process of information security in the whole society, improve the safety factor of computer data communication, strengthen computer security management, the author proposes a computer data encryption strategy that combines the strong security of the 3DES encryption algorithm and the asymmetric encryption advantages of the RSA algorithm. Through the detailed analysis of DES encryption algorithm and 3DES encryption, creatively uses the RSA encryption algorithm to improve the single 3DES algorithm, consolidates the performance of the 3DES encryption algorithm to ensure data communication, and ensures the data integrity, better improve encryption performance. Experiments show that: The proposed encryption algorithm improves security performance by 10 times, and the response efficiency is only 1 ms away from other algorithms, compared with other algorithms, it has better encryption performance and is suitable for actual computer data communication scenarios. Conclusion: The encryption algorithm proposed by the author has achieved good results in terms of security performance and response efficiency, it is suitable for actual computer data security communication and can effectively improve computer security management.
Effects of the Ultrasound-Guided Stellate Ganglion Block on Hemodynamics, Stress Response, and Gastrointestinal Function in Postoperative Patients with Colorectal Cancer
Authors: Xie An , Zhang Xianjie , Ju Feng , Li Wen , Zhou Yukai , Wu Dan
Published: July 2022

Objective. The aim of the study was to study the effects of the ultrasound-guided stellate ganglion block on hemodynamics, stressful response, and postoperative gastrointestinal functions in patients with colorectal cancer. Methods. A total of 100 patients with colorectal cancer hospitalized from January 2021 to December 2021 were selected. After anesthesia induction, the right stellate ganglion block was performed under ultrasound guidance in the research group and the general anesthesia was performed in the control group. The heart rate (HR), mean arterial pressure (MAP), epinephrine, cortisol, self-rating anxiety scale (SAS), Ramsay sedation score (RSS), postoperative bowel sound recovery time, anal exhaust time, and the incidence of gastrointestinal adverse reactions 24 hours after operation were studied pre-and post-24-hour anesthesia induction. Results. Following 24-hour operation, the HR and MAP values were largely reduced

p
<
0.05

. Following 24-hour operation, epinephrine and cortisol became obviously higher

p
<
0.05

. After 24-hour operation, the levels of epinephrine and cortisol in the research group were greatly lower. The score of the SAS in the study cohort was less than that of the controls

p
<
0.05

. The RSS of the research group was obviously increased

p

<

0.05

. The recovery time of intestinal sound and the anal exhaust time of the study cohort became remarkably shorter

p
<
0.05

. The incidence of gastrointestinal adverse reactions 24 hours after operation of the study cohort was much less common

p
<
0.05

. Conclusion. The ultrasound-guided stellate ganglion block can reduce the fluctuation of blood circulation during radical resection of colorectal cancer, reduce postoperative gastrointestinal dysfunction and stress reaction, relieve patients’ anxiety, and contribute to the recovery of gastrointestinal function.
Real-Time Identification of Nonstandard Thermal Inkjet Codes on the Surface of Hot-Rolled Steel Sheets in Complex Environments
Authors: Wang Xing-Hua , Liang Le , Sun Hong-Wei , Chen Wei-Bin , Wang Can-Can , Sun Yang-Yang
Published: July 2022

Many steel mills currently rely on thermal spray codes to carry and convey information about the steel plate at different stages of production. Thermal inkjet codes are patterns of numbers, letters, and symbols formed by continuous spraying of high-temperature resistant coatings on the surface of billets, so it is especially important to identify thermal inkjet code information accurately and timely during the processing stage of steel plates. Most of the existing mainstream identification methods rely on manual visual observation and traditional image recognition to obtain them, with low recognition efficiency and poor recognition effect. In this paper, a lightweight YOLO with ResNet18 as the backbone network is used as the detection and recognition framework, and deformable convolution and text feature extraction techniques are purposefully added to detect the location of thermal inkjet codes images to achieve accurate and fast positioning and segmentation of thermal spray codes. Meanwhile, an attention mechanism-based character recognition module is added to quickly infer the content within the ROI location of thermal inkjet codes. The experimental results show that the thermal inkjet code character recognition method proposed in this paper has a high recognition rate and fast recognition speed, which meets the practical application requirements of relevant enterprises.
Classification of Rural Tourism Features Based on Hierarchical Clustering Analysis Knowledge Recognition Algorithm
Authors: Wang Wei , Cheng Suiying , Chen Zhun , Liu Kaixia
Published: July 2022

The vigorous development of tourism has made rural tourism a highlight of the new era. In order to better realize the classification of rural tourism features, this paper proposes a knowledge recognition algorithm based on hierarchical clustering analysis. Firstly, the rationality of the optimization of the rural tourism feature algorithm is analyzed in this paper; secondly, the rural tourism feature classification index system is constructed based on the hierarchical clustering analysis; finally, the index weights are clearly divided according to the characteristics through the hierarchical clustering analysis of the knowledge identification algorithm. According to the specialties of hierarchical clustering analysis, the criteria of the algorithm are determined, and the characteristics of rural tourism are carefully classified. Rural tourists can visit different scenic spots in high density and improve the mobility of rural tourism. The experimental results show that: through the analysis of the characteristic classification data of the Rural Tourism College in this paper, it can be seen that the average daily income of the scenic spot is higher than that of the traditional rural scenic spot. The average daily income of rural tourism has increased by more than 261,900 yuan, which has largely promoted the development trend of rural tourism in my country. It is proved that the hierarchical clustering analysis method is helpful for rational zoning and serious thinking about the characteristics of rural tourism. This paper provides a reference for promoting the classification of rural tourism.
Deep Learning-Based English-Chinese Translation Research
Authors: Huang Yao , Xin Yi
Published: July 2022

Neural machine translation (NMT) has been bringing exciting news in the field of machine translation since its emergence. However, because NMT only employs single neural networks to convert natural languages, it suffers from two drawbacks in terms of reducing translation time: NMT is more sensitive to sentence length than statistical machine translation and the end-to-end implementation process fails to make explicit use of linguistic knowledge to improve translation performance. The network model performance of various deep learning machine translation tasks was constructed and compared in English-Chinese bilingual direction, and the defects of each network were solved by using an attention mechanism. The problems of gradient disappearance and gradient explosion are easy to occur in the recurrent neural network in the long-distance sequence. The short and long-term memory networks cannot reflect the information weight problems in long-distance sequences. In this study, through the comparison of examples, it is concluded that the introduction of an attention mechanism can improve the attention of context information in the process of model generation of the target language sequence, thus translating restore degree and fluency higher. This study proposes a neural machine translation method based on the divide-and-conquer strategy. Based on the idea of divide-and-conquer, this method identifies and extracts the longest noun phrase in a sentence and retains special identifiers or core words to form a sentence frame with the rest of the sentence. This method of translating the longest noun phrase and sentence frame separately by the neural machine translation system, and then recombining the translation, alleviates the poor performance of neural machine translation in long sentences. Experimental results show that the BLEU score of translation obtained by the proposed method has improved by 0.89 compared with the baseline method.
The Influence of Enterprise Culture Innovation on Organizational Knowledge Creation and Innovation under the Ecological Environment
Authors: Yuan Ying , Chen Tong
Published: July 2022

With the continuous development of economy and society, ecological environmental governance has been put on the priority agenda. In the process of ecological environmental governance, the state, society, and enterprises bear different responsibilities, respectively. As the main body of social economy, in the development of enterprises, the protection of ecological environment is the due meaning of enterprise culture is always paid attention. Whether enterprises can achieve success is not only directly affected by the development strategy, management mode, business philosophy, management tools, and other aspects but also indirectly affected by its own cultural construction level. Although corporate culture has changed due to the development of the network environment, the challenges of corporate culture innovation in terms of values and cultural conflicts should not be underestimated. It can not only enhance the centripetal force of all the employees but also enhance the competitive advantage of the enterprise. In addition, corporate culture also plays a positive role in enhancing office efficiency and increasing production capacity and output. Starting from the role of corporate culture, this study studies the characteristics of corporate culture under the background of implementing ecological environmental governance, addresses the challenges of corporate culture innovation in the new environment, and puts forward the measures of corporate cultural innovation, which provides reference for corporate culture innovation.
Atorvastatin Rapidly Reduces Hepatitis B Viral Load in Combination with Tenofovir: A Prospective Clinical Trial
Authors: Gharehbeglou M. , Yazdani S. , White K. , Haeri M. R. , Masoumzadeh N.
Published: July 2022

Objective and Aim. Atorvastatin inhibits cholesterol synthesis which is critically important in the formation of the viral envelope and secretion. The efficacy and safety of giving atorvastatin (40 mg/day) as an adjunct to tenofovir in the treatment of hepatitis B (HBV) were assessed. Method. In this single-blind clinical trial, 40 patients with active chronic hepatitis B were randomly allocated to treatment or control groups. The treatment group received the standard treatment for chronic HBV (300 mg tenofovir twice a day) along with 40 mg/day atorvastatin for 12 months, while the control group received a placebo once daily in addition to the standard tenofovir regimen. Serum aspartate aminotransferase (AST), alanine aminotransferase (ALT), and HBV DNA copy numbers were measured at the beginning of the treatment and 1, 3, 6, 9, 12 months later. Results. One month after starting the treatment, the HBV copy number in the atorvastatin + tenofovir-treated group was significantly lower, by 200×, compared with the control group. After three months of the treatment, there was no detectable HBV DNA in 50% of the atorvastatin + tenofovir-treated group compared with 30% in the control group. The half-life of plasma viral load was 2.03 and 3.32 months in the atorvastatin + tenofovir-treated and control groups, respectively. No adverse events due to taking atorvastatin were observed. Conclusions. The combination of atorvastatin with tenofovir increased antiviral activity and led to a faster recovery from viral infection. Therefore, this modality can be recommended as a safe combination therapy for chronic hepatitis B patients.
[Retracted] Ameliorated Stomach Specific Floating Microspheres for Emerging Health Pathologies Using Polymeric Konjac Glucomannan‐Based Domperidone
Authors: Mohamed Jamal Moideen Muthu , Mahajan Nikita , El-Sherbiny Mohamed , Khan Shagufta , Al-Serwi Rasha Hamed , Attia Mohammed A. , Altriny Qamar Alsayed , Arbab Ahmed H.
Published: July 2022

The goal of this study was to use polymeric konjac glucomannan (KGM), Kollidon VA 64 (KVA64), and glutaraldehyde to ameliorate stomach specific floating microspheres (SSFM) using domperidone (DoN) to increase in vivo bioavailability and emerging health pathologies. The SSFM were made using the emulsion cross‐linking process, and the polymer was chosen based on its ability to get cross‐linked. The thermodynamic parameters were used to determine the AL classes of phase solubility curves using ideal complexes produced with KVA64. The optimal interaction constants at 25 and 37°C were found to be 116.14 and 128.05 M-1, respectively. The prepared SSFM had an average particle size (PS) of 163.71 ± 2.26 mm and a drug content of 96.66 ± 0.32%. It can be determined from in vitro drug release experiments that drug release is good in terms of regulated drug release after 12 h (92.62 ± 2.43%). The SSFMs were approximately sphere‐shaped and had smooth surfaces, according to the morphological data. SSFMs were investigated using Fourier transform infrared (FT‐IR) spectroscopy, X‐ray diffraction (XRD), and differential scanning calorimetry (DSC), and no chemical structural changes were identified. The SSFMs produces a considerable gastric residence time with optimal DoN release and absorption in stomach fluid, and the mean residence time (17.36 ± 1.4 h) and t1/2 (10.47 ± 0.6 h) were considerably longer (p < 0.05) than those obtained following i.v. treatment (MRT = 8.42 ± 1.2 h; t1/2 = 9.07 ± 0.7 h). The SSFMs maintained good physical stability for three months when stored at room temperature.
Few-Shot Specific Emitter Identification Based on Variational Mode Decomposition and Meta-Learning
Authors: Xie CunXiang , Zhang LiMin , Zhong ZhaoGen
Published: July 2022

Recently, deep learning has become the mainstream solution to solve specific emitter identification (SEI) problems. However, because large amounts of labeled signal samples cannot be obtained in noncooperative scenarios, the performance of deep learning-based data-driven methods for SEI was limited. As a result, a novel SEI method targeted on few-shot was proposed in this study. First, the received signal was preprocessed based on variational mode decomposition and the Hilbert analysis to obtain the Hilbert time-frequency spectrum. Subsequently, a classification neural network model was built and trained with a small number of Hilbert time-frequency spectrum samples through meta-learning. This model could identify specific emitters with limited training samples. The experimental results showed that this method accomplishes network training with as few as 80 training samples while obtaining a good level of generalization and effectively identifying different emitter individuals. In addition, this method exhibits a strong robustness to noise by maintaining an identification accuracy of more than 80% in channels with low signal-to-noise ratios. Finally, the proposed method demonstrated better identification performances than other existing methods with its capability to effectively solve SEI problems in the few-shot scenario.
A Slacks‐Based Measure Approach for Efficiency Measurement of Recycling Production Systems with Imprecise Data
Authors: Huang Huang-Chu , Liu Fung-Bao , Hu Cheng-Feng
Published: July 2022

Resource scarcity and environmental degradation have made sustainable resource utilization and environmental protection worldwide. The development of the circular economy is considered an approach for more appropriate economic and environmental management. In this work, a slack‐based measure approach was proposed for the assessment of recycling production systems with imprecise data. The two‐level mathematical programming approach was employed for obtaining the lower and upper bounds of fuzzy efficiencies by transformed conventional single‐level mathematical programs. The relationship between the fuzzy system efficiency and process efficiencies was explored. The proposed method was applied to assess the recycling production system of EU countries. Our results show that the performance of the production system in EU countries was superior to that of the recycling system, and the inefficiency of the whole system was attributed mainly to the recycling inefficiency.
Readiness for Hospital Discharge and Its Correlation with the Quality of Discharge Teaching among the Parents of Premature Infants in NICU
Authors: Meng Li , Lingling Zhang , Haihong Zhang , Xiaobai Zhang , Dandan Huang , Shaoyan Wu
Published: July 2022

Objectives. To assess the extent of the readiness for hospital discharge and the correlation with discharge teaching quality among parents of premature infants’ in the NICU. Background. Low readiness for discharge from the hospital can lead to negative outcomes in healthcare for infants born prematurely and their parents. Discharge guidelines are a basic approach to ensure the readiness of the parents for discharge from the hospital. No investigation has ever been conducted into the sufficiency of hospital discharge guidelines for premature infants and their impact on parental readiness for hospital discharge. Design. Data was collected from four hospitals in China using a correlational descriptive study. Methods. Two hundred and eight parents of premature NICU-hospitalized infants of four tertiary hospitals in Henan Province from May to October 2020 were enrolled. The general information questionnaire, the readiness for hospital discharge scale- (RHDS-) parent form, and the quality of discharge teaching scale- (QDTS-) parent form were used for data collection. Spearman correlation analysis and descriptive statistics were used to analyze the data. Results. The total score for hospital discharge readiness was high (

8.05
±
1.11

). The total score of the quality of discharge guidelines was moderate (

7.44
±
1.44

). Moreover, the discharge teaching quality was positively correlated with the parents’ readiness. Positive correlations were found between PRHDS and QDTS subscales, including content received and delivery, physical-emotional status, knowledge, and expected support. Conclusion. The quality of the discharge guidelines perceived by parents of premature infants was moderate, which may have reduced their readiness for hospital discharge. Relevance to Clinical Practice. This study furnishes basic information on the importance of readiness of discharge for the parents of premature infants. The teaching guides nurses to enhance the quality of discharge teaching and the readiness of parents for discharge from the hospital.
Context-Aware Spectrum Sharing and Allocation for Multiuser-Based 5G Cellular Networks
Authors: Vijay Vasanth A. , Yuvaraj D. , Janga Prasad , Singh Harsh Pratap , Jaikumar R. , Swaminathan Subbiah , Kumar Polamarasetty P. , Chapa Babji Prasad , Varaprasad D. Y. , Chandragandhi S. , Abera Worku
Published: July 2022

The number of users of current mobile and cellular networks is constantly increasing. The allocation of spectrum to its users is constantly facing various hurdles. This causes users to leave that network and connect to another network. Thus, those telecom companies are constantly struggling to provide high-speed services to the users. As a result, the demand for 5G networks is currently increasing. Considering these, an algorithm has been proposed here to suit the needs of the users. Its main feature is that it easily identifies the primary and secondary users of the 5G network and creates a spectrum allocation system for them accordingly. Generally, all other methods are designed with the primary user in mind. Furthermore, the spectrum hole calculation that is currently being proposed is done accurately so that the spectrum switching processes required for the secondary user can take place here very quickly so that the secondary user can use the spectrum without any hindrance. The proposed model achieved 93.29% of spectrum blocking, 6.71% of spectrum band dropping, 94.03% bandwidth utilization, 1073 ms end-to-end delay, and 17273 bps of throughput. The proposed model effectively handles the spectrum and intelligent approach to resolve the spectrum hole problems. The existing models are practically faced with these problems. The proposed model spectrum utilization and efficiency were increased compared with the existing models.
Approximation Properties of a New Gamma Operator
Authors: Huang Jieyu , Qi Qiulan
Published: July 2022

This paper deals with a kind of modification of the classical Gamma operators defined on the semiaxis which holds fixed functions 1 and e−μx (μ > 0). We study the uniform approximation effect and the direct results. We also investigate the weighted A‐statistical convergence. Finally, the Voronovskaja type asymptotic formula is given.
Expression Patterns of Necroptosis-Related Genes: Predicting Prognosis and Immunotherapeutic Effects in Cutaneous Melanoma
Authors: Dong Dong , Wang Wei , Wang Heng , Chen Liang , Liu Tianyi
Published: July 2022

Background. Increasing evidence has shown a strong correlation between necroptosis and antitumor immunity. However, precise expression patterns of necroptosis-related genes in cutaneous melanoma (CM) have not been clearly elucidated nor have their effects on the immune cell infiltration in the tumor microenvironment. Method. We investigated the expression patterns of necroptosis-related genes of individuals with cutaneous melanoma based on 67 necroptotic genes and methodically associated the expression patterns with the comprehensive characterization of tumor immune microenvironment. Using principal component analysis methods, the NRG score was developed to quantify the expression patterns of necroptotic genes in CM patients. Result. Three different necroptotic subtypes were determined with marked survival differences, showing distinct characteristics of immune cell infiltration. The high NRG score group with comprehensive immunosuppression was characterized by the worse immunotherapeutic efficacy and the poor prognosis, while the low NRG score group indicated a robust activation of immune function and a better response to immunotherapy, which may be responsible for a better prognosis. Furthermore, the predictive ability of the NRG score on prognosis and immunotherapeutic benefits was further revalidated using the other independent datasets of cutaneous melanoma. The results indicated that patients with low NRG scores exhibited prolonged survival. Surprisingly, all patients with CM with clinical response, including complete response/partial response, belonged to the low NRG score group. Conclusion. Our present work revealed the close association between expression patterns of necroptosis-associated genes and tumor immune microenvironment. NRG score can serve as a potential predictor to independently assess patients’ prognosis with CM and effectively estimate the response to immunological therapy, thus facilitating the identification of appropriate candidates with CM for immunotherapy and the formulation of individualized therapeutic approaches.
Optimization of Network Home Management System Based on Big Data
Authors: Shan Wei
Published: July 2022

Network home has become a research hotspot in today’s society, and it can improve the comfort, safety, and convenience of people’s lives. The traditional network home model only makes certain actions to the home system according to people’s instructions, and it is difficult to realize the intelligence of network home. This also limits the security and convenience of an online home. This study makes full use of the advantages of big data technology in processing nonlinear data, and applies the convolutional neural network (CNN) method and long and short-term memory (LSTM) neural network method to the network home system. CNN can be used to extract people’s behavior information, and LSTM can be used to extract people’s speech features. CNN method can establish the relationship between people’s behavior information, speech information, and network home management system. At the same time, this research mainly analyzes the lighting system, home appliance system, security system, and floor heating system in the network home system. The results show that the CNN-LSTM method has high accuracy in predicting the four systems of network home. The largest prediction error is only 2.78%, and this part of the error comes from the prediction of the home appliance system. The smallest prediction error is only 0.98%.
Low-Altitude Photogrammetry and Remote Sensing in UAV for Improving Mapping Accuracy
Authors: Ma Shuying , Zhang Kai
Published: July 2022

The low-altitude photogrammetry technology of unmanned aerial vehicles (UAVs) is widely used in many fields, but the absence of analysis and research affects the accuracy of its data products. At the same time, low-altitude photogrammetry faces the problem of low elevation positioning accuracy. The network space triangulation adjustment in the beam technique region is considered to eliminate perspective distortion in non-overlapping areas. This paper explains the key technologies of low-altitude photography and remote sensing mapping of UAVs, rectifies the distortion difference of remote sensing images, and then carries out grid division on the image according to the improved APAP (as-projective-as-possible warp) matching method. Next, it solves each grid homography matrix, linearizes the homography matrix, and carries out image matching according to the linearized homography matrix, which can effectively weaken the ghosting phenomenon during image matching. The network space triangulation adjustment in the beam technique region is considered to eliminate perspective distortion in non-overlapping areas. The two measurement areas’ accuracy level is analyzed using digital line drawing and digital orthophoto images (DOIs). Finally, the experimental results indicate that the image matching algorithm proposed in this paper has strong reliability and can substantially increase photogrammetric elevation positioning.
Effects of Chinese Herbal Formula on Immune Function and Nutritional Status of Breast Cancer Patients
Authors: Liu Min
Published: July 2022

Background. Chinese herbal formulas have certain effects on patients with breast cancer (BC). This article discussed the effect of Buqi Yangxue decoction on the immune function and nutritional status of BC patients and provided an evidence for traditional Chinese medicine (TCM) to improve the quality of life and curative effect of BC patients. Methods. 66 cases of BC patients were divided into control group (n =33) and Chinese herbal formula group (n =33). The control group was received with TE chemotherapy, and the Chinese herbal formula group was received with Buqi Yangxue decoction combined with TE chemotherapy. Nutritional status, immune function, TCM symptom quantitative score, and adverse reactions were compared between the two groups. Results. There was no difference in all indexes between the two groups before intervention. After 4 weeks, the nutritional indexes ALB, PA, TRF, and TP in Chinese herbal formula group were higher than those in control group, except HGb. CD3+, CD4+, and CD4+/CD8+ in both groups were sharply higher than before treatment, while CD8+ was dramatically lower, and the changes in Chinese herbal formula group were more obvious than those in control group. In Chinese herbal formula group, the levels of IgG, IgA, and IgM were sharply increased compared with control group. The TCM syndrome scores in both groups were decreased significantly after treatment, especially in Chinese herbal formula group. In addition, nausea and vomiting, inappetence, liver function impairment, leukopenia, and thrombocytopenia occurred in both groups. There was no clear difference in the incidence of adverse reactions between Chinese herbal formula group and control group. Conclusion. Buqi Yangxue decoction can effectively improve the nutritional status and immune function of BC patients, which has important clinical significance for the later comprehensive treatment.
Research on Carbon Foam Image Segmentation Based on Deep Learning
Authors: Gu Peng , Zhang Ping , Jiang Mingfei , Qiu Xiaofeng , Wang Xinyan , Du Chun , Peng Tianyou
Published: July 2022

As a substitute for metal, carbon foam is vital in the electromagnetic shielding industry. Nevertheless, the diameter and density of carbon foam cells are still mostly assessed manually. This research offers a Deep-Res-MixAttention segmentation method to effectively minimize manual labor and increase measurement efficiency. Moreover, the method consists of two modules: the MixAttention module is intended to improve feature extraction skills, and we use the multiscale deep residual module to collect edge information. In addition to enhancing the segmentation capability of incomplete carbon foam, the loss function is adjusted to address the dataset imbalance issue. Additionally, we propose the bidirectional selection rotation calipers algorithm to intelligently determine the density and diameter. The results reveal that the optimized network’s IoU and acc carbon reach 91.05% and 88.31%. Finally, the calculation errors of the average diameter and density are under control at 1.79% and 7.09%, respectively. The approach has a high application value for assessing the electromagnetic shielding effectiveness of carbon foam.
Prevalence and Associated Risk Factors of African Animal Trypanosomiasis in Cattle in Lambwe, Kenya
Authors: Okello Ivy , Mafie Eliakunda , Eastwood Gillian , Nzalawahe Jahashi , Mboera Leonard E. G. , Onyoyo Samuel
Published: July 2022

Background. African animal trypanosomiasis (AAT) affects livestock productivity in sub-Saharan Africa. This study aimed to determine cattle AAT’s prevalence and associated risk factors in Lambwe Valley, Kenya. Methods. In a cross-sectional survey, livestock owners were recruited from four villages of Lambwe in Homa Bay, Kenya. Blood samples were collected from the jugular veins of cattle, and buffy coat smears were examined under a microscope. Parasites were further detected using polymerase chain reaction (PCR). Using a semistructured questionnaire, livestock owners were interviewed on their knowledge of AAT and control practices. Chi-square and multilevel models were used for the analysis. Results. The overall prevalence was 15.63% (71/454). Trypanosoma vivax 10.31% and T. congolense Savannah 6.01% were the common species and subspecies. A total of 61 livestock keepers were involved in the study. Of these, 91.80% (56/61) knew AAT, and 90.16% (55/61) could describe the symptoms well and knew tsetse fly bite as transmission mode. Self-treatment (54.09%; 33/61) was common, with up to 50.00% of the farmers using drugs frequently. Isometamidium (72.13%; 44/61) and diminazene (54.09%; 33/61) were drugs frequently used. Although 16.39% (10/61) of the farmers claimed to use chemoprophylactic treatment, 6/10 did not use the right drugs. Animals (92.1%; 58/63) with clinical signs had positive infections. Villages closer to the national park recorded a higher prevalence. Infections were higher in cattle owned by those self-treating (27.23%; 58/213), those using drug treatment without vector control (27.62%; 50/181), those using single-drug therapy, and those practicing communal grazing (20.00%; 59/295). Clinical signs strongly associate with positive infections under multilevel modeling. Conclusion. Cattle trypanosomiasis is prevalent in the Lambwe region of Kenya. This is influenced by inappropriate control practices, communal grazing, and the proximity of farms to the national park. In addition, clinical signs of the disease have a strong association with infections.
Electronic Sports Sustainable Development of Probing into Digital Games, Teenage Domestication, and Mutual Construction
Authors: Shao Peng , Yu Han , Zhu Yujia , Wang Junwei
Published: July 2022

The purposes is to investigate how digital games affect teenagers’ physical and mental sustainable development and analyze the interactions and communications between teenagers and digital games using the domestication theory. (1) Background. A healthy mutual‐domestication relationship is needed between teenagers and digital games. Digital games are expected to play a positive and decisive role, while parents and teachers should master the correct game literacy. (2) Methods. This study described the mutual domestication between them using interviews and questionnaires. (3) Results. Results demonstrate that digital games entering teenagers’ lives are domesticated and marked with unique attributes caused by teenagers’ different habits, during which parents and teachers are critical. In turn, digital games tame teenagers lifestyles and habits, becoming a popular social media among them. Spending excessive time and energy, teenagers will be addicted to digital games. (4) Conclusions. It can provide a reference for investigating the connection between teenagers and digital games.
Construction of a Meta-Evidence Prototype Database of Traditional Chinese Medicine Splenogastric Diseases and Its Application in an Automatic Meta-Analysis System
Authors: Zhang Xueqin , Wang Chunying , Yao Yanning , Sun Wenyu , Guo Yujie , Ma Lin , Lu Xinyuan , Deng Hongyong
Published: July 2022

Background. Traditional Chinese medicine splenogastric diseases (TCMSDs) are equivalent to digestive system diseases in modern medicine. The forms of clinical evidence of TCMSDs include clinical trials, such as randomized controlled trials (RCTs) and systematic reviews (SRs). SRs mainly rely on manual operations and have the shortcomings of time consumption and low efficiency; therefore, they cannot meet the needs of rapid clinical decision-making. It is urgent to establish a new and smart form of a database to support the progress of SRs. Methods. We searched and screened all TCMSD RCT reports, in both Chinese and English, and extracted them into meta-evidence through predesigned structural Microsoft Excel tables. All meta-evidence was imported into an online clinical meta-evidence collection and management system after data quality checking. The meta-evidence database of traditional Chinese medicine (TCM) splenogastric disease (MED-TCMSD) was then tested as a backend of an automatic meta-analysis system. Results. A total of 405 cases of TCMSD RCTs were processed into meta-evidence. The most common diseases were stomach stuffiness disease, epigastralgia, and chronic atrophic gastritis. Banxiaxiexin decoction and its modifications were the most used interventions. More than half of the cases employed TCM in conjunction with regular therapeutics. The top reported outcomes included clinical effects, adverse events, and TCM syndromes. The MED-TCMSD worked well as a part of the automatic meta-analysis system. Conclusions. We developed and tested a new form of clinical evidence, meta-evidence, for automatic SR and fast evidence-based decision-making. As an example of the MED, the MED-TCMSD can improve the production and updating efficiency of the evidence of TCMSDs. The methods of constructing the MED-TCMSD can be further applied to the development of MEDs of other diseases.
Development of a Model for Initial Compaction Stage in Rock Based on Energy Dissipation
Authors: Wu Tongqing , Nie Lei , Cai Zhiwei , Wu Yue , Shi Qijun , Lin Junzhi , Wang Kui , Xu Nianchun
Published: July 2022

An accurate model is essential for the numerical simulation of the rock failure occurring under different conditions. However, the expression of the initial compression stage is often overlooked in the widespread constitutive models. In this pursuit, several models considering the initial compression stage were gathered from the previous studies, and a model based on the energy dissipation principle was proposed in the present study. Subsequently, the experimental data of five different types of rock under uniaxial load was collected from the literature to verify the validity of the proposed model, and the performance was compared with the other models. It was found that all the models listed in this study exhibited good performance in expressing the stress-strain curve during the initial compression stage.
Bank Credit Structure Model Based on Big Data Financial Technology Innovation
Authors: Yu Zeyi
Published: July 2022

The credit business is the primary source of income for commercial banks, and the quality of credit business directly affects the operating efficiency and sustainable development of commercial banks. Constructing an evaluation model that can accurately measure the credit quality of commercial banks and then systematically analyze the distribution and evolution of credit quality is of great significance for judging the operating situation and pattern of credit assets of commercial banks in our country. This paper analyzes the credit asset quality of our country’s commercial banks from five aspects: credit asset scale, profitability, risk security, liquidity, and expansion capability, and uses computer extensive data analysis and structural equation model to analyze the 20 representative banks in our country. An empirical analysis is conducted in a commercial bank.
The Impact of Atorvastatin on RANKL Expression in Rats during the Retention Stage after Orthodontic Tooth Movement
Authors: Zhao Yang , Wang Ting , Gao YuLi
Published: July 2022

Objective. To probe into the impact of atorvastatin on RANKL expression in rats during the retention stage after orthodontic tooth movement and its associated molecular mechanisms. Methods. After establishing an orthodontic tooth movement model, the left teeth of the retention-stage rats were the maintained side, and the right teeth were the nonmaintained side, which were given physiological saline or atorvastatin dosing at 7d, 14d, and 21d, respectively, by tube feeding, in order to keep the rats as a control group at the beginning of the retention stage. A model of the rat’s upper jaw gypsum in each group was made at various time points to measure the distance at which the teeth relapsed. The pathological slices of the upper jaw arch were taken separately for TRAP staining observation. Results. Compared to the physiological saline group, the recurrence distance of rats in the atorvastatin group was visually lower (

p
<
0.05

), and the number of bone-breaking cells was signally lower (

p
<
0.05

); P-5b, PTH, VitD3, GC, IL-1, and IL-17 expressions (

p
<
0.05

) were visually decreased, while IL-11 expression was elevated (

p
<
0.05

). Conclusion. The atorvastatin given to rats during the retention stage after orthodontic tooth movement inhibits RANKL expression and may function through OPG/RANKL/RANK system.
Impedance Spectroscopy, AC Conductivity, and Conduction Mechanism of Iron(II) Chloride/Polyvinyl Alcohol/Polyvinylpyrrolidone Polymer Blend
Authors: AlFannakh Huda
Published: July 2022

Polymer blend electrolytes have been prepared using the casting technique. The electrolyte is composed of two polymers polyvinyl alcohol (PVA)/polyvinylpyrrolidone (PVP)) with a fixed ratio (50 : 50) loaded with varied ratios of FeCl2 (0.5, 1, and 2 wt.%). The impedance analysis indicates that the AC conductivity increased as the temperature was following the power law. Nyquist plots for pure and blend composite samples present depressed semicircles at all temperatures. The conduction mechanism of the pure blend sample was based on a hopping mechanism, whereas the ionic conduction was applied to the blend composite sample. The activation energy for blend and blend composite samples was determined, and the two activation regions appeared for blend electrolyte samples. The results indicate a significant improvement in the electrical behavior of the polymeric blend (PVA/PVP) by adding a small weight percentage of FeCl2 salt to the blend samples.
Advocacy for the Development of Teacher Leadership in the Context of ECC Reforms in China
Authors: Shen Xiaoyan
Published: July 2022

China’s development is inseparable from the reform of education, so ECE is very important in the development of Chinese society. Based on this reason, this paper introduces the three reform waves of communist Chinese society under the influence of western culture. Because the professional level of kindergarten teachers does not match the concepts and requirements of the three preschool curriculum reforms in Chinese society, this paper analyzes the solutions based on this problem and holds that the leadership of kindergarten teachers should be vigorously developed.
MACC1 Promotes the Progression and Is a Novel Biomarker for Predicting Immunotherapy Response in Colorectal Cancer
Authors: Xiong Man , Wang Mingsen , Yan Youhong , Chen Xiaowu , Guo Wanwei , Xu Ming , Guo Shaoyan , Wang Yeyang
Published: July 2022

Aims. As one of the most prevalent malignant diseases in the world, the mechanisms of metastasis in colon cancer are poorly understood. The aim of this study was to investigate the role of the HGF/c-MET axis in the proliferation and metastasis in colon cancer. Methods. The effect of MACC1 on cell proliferation and metastasis was analyzed through a series of in vitro experiments. The role of MACC1 in cancer cells was demonstrated by overexpression and silencing of MACC1 in gain or loss function experiments. To investigate the relationship between MACC1 and c-MET/HGF, we detected c-MET protein expression by disrupting with or overexpressing MACC1. The bioinformatics analysis was used to investigate the correlation between MACC1 and c-MET, and the c-MET expression after the interference of HGF with MACC1 was determined. Subsequently, the function of c-MET was verified in colon cancer cells by a series of experiments. The mouse tumor transplantation model experiment is most suitable in vivo. Results. The results indicated that the overexpression of MACC1 could accelerate proliferation and facilitate metastasis in colon cancer cell lines. Furthermore, c-MET was determined to be the downstream regulator of MACC1. The addition of HGF could stimulate the expression of MACC1. With further exploration, we proved that c-MET is downstream of MACC1 in colon cancer and that overexpression of c-MET in colon cancer enhances cell proliferation and migration capability. At last, MACC1 expression level negatively correlates with the infiltration levels and several immune checkpoint biomarkers. High MACC1 expression has a lower response rate with ICIs in COAD. Conclusions. We found that, under the regulation of the MACC1/HGF/c-MET axis, the proliferation and metastasis of colorectal cancer are increased by MACC1, which can be a novel biomarker for predicting ICIs response in colorectal cancer. Our findings provide a new idea for the targeted treatment of colorectal cancer.
Measurement and Impactors of Tourism Carbon Dioxide Emission Efficiency in China
Authors: Jiang Guohua , Zhu Anding , Li Jun
Published: July 2022

With tourism carbon dioxide emission efficiency (TCDEE) as an undesired output, this study establishes an index system based on the inputs and outputs of TCDEE and measures the provincial TCDEE of China in 2010–2018, using the epsilon‐based measure (EBM). In addition, the impactors of TCDEE were tested by the Tobit model. The main results are as follows: China’s TCDEEs had obvious provincial differences. Only six provinces reached the efficient frontier of TCDEE, namely, Beijing, Tianjin, Inner Mongolia, Shanghai, Jiangsu, and Guangdong. The other provinces failed to reach this state, leaving a room for improvement. Most eastern provinces had relatively high TCDEEs, while the central and western provinces had relatively low TCDEEs. In the sample period, the TCDEEs in eastern, central, and western parts all changed in the shape of letter N. The TCDEEs of the eastern part were much higher than those of the central and western parts. According to the results of the Tobit model, TCDEE is clearly enhanced by the urbanization level, strongly inhibited by industrial structure, technical progress, opening‐up, and environmental regulation, and not significantly affected by the tourism level.
A Task Recommendation Model in Mobile Crowdsourcing
Authors: Ji Yinglei , Mu Chunxiao , Qiu Xiuqin , Chen Yibao
Published: July 2022

With the development of the Internet of Things and the popularity of smart terminal devices, mobile crowdsourcing systems are receiving more and more attention. However, the information overload of crowdsourcing platforms makes workers face difficulties in task selection. This paper proposes a task recommendation model based on the prediction of workers’ mobile trajectories. A recurrent neural network is used to obtain the movement pattern of workers and predict the next destination. In addition, an attention mechanism is added to the task recommendation model in order to capture records that are similar to candidate tasks and to obtain task selection preferences. Finally, we conduct experiments on two real datasets, Foursquare and AMT (Amazon Mechanical Turk), to verify the effectiveness of the proposed recommendation model.
Research on Competition and Cooperation of Central Ports in the Guangdong-Hong Kong-Macao Greater Bay Area
Authors: Wang Xuanfei , Liang Shan
Published: July 2022

The construction of the Guangdong-Hong Kong-Macao Greater Bay Area requires the establishment of a comprehensive port cooperation mechanism. Coordination is key to port integration. This paper establishes a multi-group Lotka-Volterra model based on the theory of competition and cooperation to study the evolution of the relationships among Hong Kong Port, Shenzhen Port, and Guangzhou Port. The results show that the three major ports have predator-prey roles and form a symbiotic competition and cooperation ecological pattern. The extended Hotelling model is established to study the central ports’ spatial differences; the results show that whether it is the central port cooperation body or the entire central port group, the gains from Shenzhen Port-Guangzhou Port cooperation are greater than between either and Hong Kong Port for Guangdong-Hong Kong-Macao Greater Bay Area’s container business. The biggest competitor to Hong Kong Port in the container business is Guangzhou Port. Hong Kong Port will gain more from cooperation with Shenzhen Port and should strengthen such cooperation. The study provides quantitative support and reference for positioning the strategic development of the high-end shipping business in Hong Kong Port, the pilot free-trade port in Shenzhen Port, and the exploration of the Shenzhen-Hong Kong composite port, Guangzhou Port’s comprehensive shipping hub.