bluuebunny/crossref_metadata_2025 huggingface dataset:
A New Data Model for the Privacy Protection of Medical Images
Authors: Ren Lijing , Zhang Denghui
Published: July 2022

Benefiting from the intelligent Medical Internet of Things (IoMT), the medical industry has dramatically improved its quality and productivity. The transmission of biomedical data in an open and untrusted network poses a new challenge to the privacy protection of patient information. The low processing power of IoMT limited the application of traditional encryption to protect sensitive data. In this paper, we developed a new data protection model for medical images. The model uses visual cryptography (VC) to store biomedical data in a separate database, which can transfer the sensitive data of patients simply and securely. To alleviate the degradation of biomedical recognition performance caused by VC-based noise, we further use transfer learning to train an optimized neural network. The experimental results show that this proposed method provides privacy in the IoMT environment and maintains the high accuracy of biomedical recognition.
A Patient with SIADH, Urinary Retention, Constipation, and Bell’s Palsy following a Tick Bite
Authors: Leone Mariana , Iqbal Anwar , Hugo Bonatti J. R. , Anwar Samina , Feaga Catherine
Published: July 2022

Introduction. Lyme disease is the most common vector borne disease in the USA caused by the bacterium Borrelia burgdorferi. If untreated, Lyme disease can cause a variety of secondary symptoms often difficult to interpret. Some of the rare manifestations of Lyme disease include SIADH-like syndrome, enteroparesis, and urinary retention. Case Report. A 69-year-old male presented with anorexia and constipation and was found to have hyponatremia. Several days after admission, Bell’s palsy developed and he experienced urinary retention requiring catheterization. Lyme disease was confirmed on serology, and he recalled a rash on his elbow four weeks prior. Ceftriaxone was started and the patient improved; he had multiple bowel movements after receiving laxatives and the Foley catheter was removed; serum sodium normalized with fluid restriction. He was discharged home and was well with symptoms completely resolved at three-month follow-up. Discussion. There should be a high alert of atypical presentation of this common tick bite associated infection. Review of the literature revealed ten similar cases, but only three of these patients were reported to have a combination of SIADH, urinary retention, and enteroparesis.
Study on Influencing Factors of the Duration of Residential Leisure Travel to Urban Parks
Authors: Yan Xuyichen , Li Shaoqi , Dong Ren , Li Gen
Published: July 2022

With the improvement of living standards, more and more residents in China choose short leisure travel at weekends. This study aims to model the leisure travel duration to investigate the relationship between travel time and residents’ factors, which can provide guidance for the development of urban parks and improve the structure of transportation modes to promote low-carbon travel modes. The accelerated hazard model is applied to establish the model equation between travel time and various factors, to obtain the differences between weekend travel time in scenic spots and personal characteristics such as residents’ playing time and travel mode choice. First, an analysis of variance was performed on the valid data which have been collected. Then, the Kaplan–Meier test proved that weekend activity types tend to follow different survival functions. Finally, this study established the lifespan regression equation of the travel time, and we found that the best fit is the Log-normal distribution. This study shows clearly that accelerated hazard models based on fixed parameters are better at evaluating the attractiveness of urban parks, and they can also get feedback travel characteristics of primary residents. So, we can build a lifespan analysis-based model for the travel time of urban residents, to help plan the urban parks. The result of this study can be used for predicting the flow of different travel modes at urban parks in cities, which can be helpful for regional traffic organization such as regional traffic flow guidance and signal timing.
Effect of Multivoice Chorus on Interpersonal Communication Disorder
Authors: Lei Huiling
Published: July 2022

Objective. As a type of music therapy, multipart chorus does not have high requirements for participants, and the basic level can be high or low. For college students, it is more likely to participate. Exploring the effect of multivoice chorus intervention on college students’ mental health can provide reference for school psychological correction work. This study uses multivoice chorus as a means, combined with certain group psychological counseling techniques, to try to explore a new model for improving the mental health of college students. Method. Fifty college students in prison were selected as subjects and randomly divided into the control group and experimental group. The multivoice chorus method was used to conduct an intervention test on the mental health of the college students in the experimental group, and the observation was carried out for 3 months. Before and after the intervention, the anxiety self-rating scale, the trust scale, the social avoidance and distress scale, the shyness scale, the UCLA loneliness scale, and the college student psychological test personality subtest were used for psychological testing and evaluation. Results/Discussion. College students can actively recognize and reflect on their own behavior, and objectively evaluate others. Through the cognition and management of emotions, college students can handle personal emotions well in interpersonal communication. In the later stage of multivoice chorus, they can help each other, establish a mutual assistance system, help each other, and discuss and learn interpersonal communication skills together, so that college students can learn good interpersonal communication experience and skills from others in various interactions, achieve self-help, and promote college students to work together. In the process of interfering with interpersonal communication disorder, simple psychological counseling has also improved the phenomenon of interpersonal communication disorder, but the experimental effect is far from the effect of the combination of music education and psychological counseling, and it is relatively unstable in the stability test. In the specific operation, in the purely psychological counseling process, college students with interpersonal barriers do not actively cooperate with the intervention, the operating atmosphere is relatively dull, and the teachers are time-consuming and labor-intensive during the psychological counseling process, but the results are minimal. The only effect is also worn out within a few weeks, and the stability is poor. It can be seen that music education has played a pivotal role as a medium in the intervention of interpersonal communication disorders, which can make the intervention process easier, more effective, and more stable.
Application and Effect Evaluation of Needle Tract Nursing after External Fixation with 2% Chlorhexanol Gluconate Gauze
Authors: Yu Zeying , Shu Hengsheng , An Xia , Shi Bowen , Zhao Junming
Published: July 2022

In the medical domain, needle-track nursing especially after 2 percent chlorhexidine gluconate gauze pressure bandaging is a challenging issue and needs a timely response from the research community. In this research paper, a total of 213 patients who met the inclusion and exclusion criteria after external fixation with 2% chlorhexidine gluconate gauze pressure bandaging in the second orthopaedic ward from March 2018 to December 2017 were selected and randomly divided into three groups, each with 71 cases. For needle tract care, various intervention strategies are used. Gauze pressure bandage with 2% chlorhexidine gluconate is in Group A. In group B, BID was cleaned with a sterile cotton swab containing 2 percent chlorohexanol gluconate. BID uses a 75 percent alcohol sterile cotton swab wipe for basic needle maintenance. The intervention measures suggested by each group were provided to the three groups. Finally, the effects and differences of the intervention measures used by the three groups on the infection rate of the needle tract after external fixation and patient pain scores were examined. It is worth noting that chlorhexidine disinfectant has not only evident and quick germicidal effects but also long-term bacteriostatic efficiency against germs that are difficult to develop drug resistance to. The nursing technique of chlorhexidine pressure bandaging the needle tract minimises the risk of infection, particularly severe needle tract infection. The compression bandage group had a considerably lower rate of needle tract infection than the other two groups (

P
0.05

), according to the statistics. The pain score in the pressure bandaging group was significantly lower than the other two groups after intervention (

P
0.05

), notably in the typical alcohol disinfection group. The use of 2 percent chlorhexidine gluconate alcohol gauze pressure dressing nursing measures can minimise the rate of needle tract infection following external fixator surgery, as well as the pain and satisfaction of patients. The needle tract nursing technique offers clinical and promotional value.
Improved Interactive Genetic Algorithm for Three-Dimensional Vase Modeling Design
Authors: Huang Dongbo , Xu Xing , Zhang Yinglong , Xia Xuewen
Published: July 2022

Interactive genetic algorithm (IGA) is an effective way to help users with product design optimization. However, in this process, users need to evaluate the fitness of all individuals in each generation. It will cause users’ fatigue when users cannot find satisfactory products after multi-generation evaluations. To solve this problem, an improved interactive genetic algorithm (IGA-KDTGIM) is proposed, which combines K-dimensional tree surrogate model and a graphic interaction mechanism. In this algorithm, the K-dimensional tree surrogate model is built on the basis of users' historical evaluation information to assist the user's evaluation, so as to reduce the times of users' evaluation. At the same time, users are allowed to interact with the graphic interface to adjust the shape of the individual, so as to increase users' creation fun and to make the evolution direction of the population conform to users' expectations. The IGA-KDTGIM is applied to the 3D vase design system and independently experimented with IGA, IGA-KDT, and IGA-GIM, respectively. The average fitness, maximum average fitness, and evaluation times of statistical data were compared and analyzed. Compared with traditional IGA, the number of evaluations required by users decreased by 60.0%, and the average fitness of the population increased by 15.0%. The results show that this method can reduce the users' operation fatigue and improve the ability of finding satisfactory solutions to a certain extent.
Development of High Dietary Fibre-Enriched Cupcake Using Pomegranate Peel Powder
Authors: Gadallah Mohamed , Shabib Zeinab , El-Hazmi Taghreed
Published: July 2022

The effect of substituted wheat flour with pomegranate peel powder (PPP) at different ratios 5, 10, 15, and 20% on chemical composition, physical properties, color appearance, staling, and the sensory evaluation of the high-fibre cupcake was evaluated. The obtained results revealed that a slight increase in ash of cake samples with all levels of PPP was found. The highest value of ash was 1.92% given by cupcakes with 20% PPP. It was observed that a gradual significant (

p
≤
0.05

) increase in dietary fibre of prepared cupcakes with PPP compared to control cake. The dietary fibre values ranged from 2.73% for the control cake to 17.00% with 20% of PPP; it may be due to the high content of ash and dietary fibre in PPP. Also, using PPP in cupcake manufacturing had a lowered effect on their volume and specific volume, where control cupcake recorded 48.00 cm3 and 1.40 cm3/g for volume and specific volume, respectively. In addition, a gradual significant (

p
≤
0.05

) decrease in

L

value (lightness) with incorporated different levels of PPP was found. The control cupcake had the highest lightness value (65.97) with a significant (

p
≤
0.05

) increase compared to all other cupcake samples that ranged between 37.67 and 30.18 by 5% and 20% of PPP, respectively. The results indicated that the highest value of taste was 18.75, which was given by cupcake with 5% PPP. While increasing the percentage of PPP in cupcake, the taste is less acceptable by panelists, and perhaps, this decreases in taste due to the high ratio of fibre in PPP. The highest staling was given by cupcake replaced with PPP at 20% after the ninth day of storage. Finally, it can be concluded that PPP can be used in cupcake production to raise its dietary fibre and mineral content up to a substitution rate of 10% PPP while retaining acceptable organoleptic properties.
Efficacy of Rehabilitation Therapy and Pharmacotherapy on Children with Cerebral Palsy: A Meta-Analysis
Authors: Hou Qiuying , Li Liang
Published: July 2022

Background. Cerebral palsy (CP) has a serious impact on children’s multiple motor functions and life behavior. Rehabilitation therapy or pharmacotherapy alone has been proven to have a good effect on patients’ strength and gait. However, the efficacy of rehabilitation combined with pharmacotherapy for CP in children needs to be further explored. This study is aimed at assessing the effectiveness of this combined method on life function and social behavior in children with CP. Methods. PubMed, China National Knowledge Infrastructure, WanFang Data, EMBASE, and Web of Science databases were searched for all kinds of literature related to the treatment of pediatric CP published between 2000 and 2021. Basic information and experimental data from the literature were screened and extracted, and a meta-analysis was performed using Stata 16. Results. A total of 605 studies were retrieved, and finally, 10 studies involving 805 pediatric patients were included in the analysis. The analysis results showed that rehabilitation combined with pharmacotherapy could improve the treatment effective rate in children with CP compared with the control group using either alone (

RR
=
1.184

, 95% CI (1.102, 1.273),

P
<
0.001

). In addition, in terms of social behavior, the combined therapy could significantly improve activities of daily living (

SMD
=
2.94

, 95% CI (1.66, 4.22),

P
<
0.001

), motor ability (

SMD
=
1.86

, 95% CI (0.75, 2.96),

P
=
0.001

), adaptability behavior (

SMD
=
2.82

, 95% CI (0.45, 5.18),

P
=
0.019

), language behavior (

SMD
=
3.08

, 95% CI (0.95, 5.22),

P
=
0.005

), social behavior (

SMD
=
3.78

, 95% CI (2.22, 5.35),

P
<
0.001

), and fine motor behavior (

SMD
=
3.52

, 95% CI (1.17, 5.86),

P
=
0.003

). Conclusion. The current study shows that rehabilitation combined with pharmacotherapy can effectively improve the recovery, quality of life, and social behavior of children with CP.
Flexural Properties, Impact Strength, and Hardness of Nanodiamond-Modified PMMA Denture Base Resin
Authors: Fouda Shaimaa M. , Gad Mohammed M. , Ellakany Passent , A. Al Ghamdi Maram , Khan Soban Q. , Akhtar Sultan , Ali Mohamed S. , Al-Harbi Fahad A.
Published: July 2022

Purpose. Investigate the effect of low nanodiamond (ND) addition and autoclave polymerization on the flexural strength, impact strength, and hardness of polymethylmethacrylate (PMMA) denture base. Methods. A total of 240 heat polymerized PMMA were fabricated with low ND concentrations of 0.1%, 0.25%, and 0.5%, and unmodified as control. The specimens were divided equally into group I: conventionally polymerized PMMA by water bath and group II: polymerized by the autoclave. The impact strength, flexural strength, and elastic modulus were tested using the Charpy-type impact-testing machine and three-point bending test, respectively. A scanning electron microscope (SEM) was used to analyze the fractured surfaces. Surface hardness was measured by a hardness tester with a Vickers diamond. The bonding and interaction between the PMMA and ND particles were analyzed by the Fourier-transform infrared (FTIR) spectroscope. ANOVA and post hoc Tukey test were used for data analysis (α = 0.05). Results. ND addition significantly increased the flexural strength of groups I and II (

p
<
0.001

,

p
=
0.003

); it was highest (128.8 MPa) at 0.25% ND concentration for group I and at 0.1% for group II. Elastic modulus increased at 0.1% ND for both groups (

p
=
0.004

,

p
=
0.373

), but the increase was statistically significant for group I only. Impact strength showed no significant change with the addition of ND in groups I and II (

p
=
0.227

,

p
=
0.273

), as well as surface hardness in group I (

p
=
0.143

). Hardness decreased significantly with 0.25%ND in group II. Conclusion. The addition of ND at low concentration increased the elastic modulus and flexural strength of conventionally and autoclave polymerized denture base resin. Autoclave polymerization significantly increased the flexural strength, impact strength, and hardness of unmodified PMMA and hardness of 0.5% ND group.
The Deep Integration of China’s Regional Ice‐Snow Industry and Ecocultural Tourism under the Background of Beijing Winter Olympic Games: Taking Hunan as an Example
Authors: Lingmin Wu , Haitao Feng
Published: July 2022

Under the background of the promotion of the Olympic effect of the 2022 Beijing Winter Olympics and the in‐depth implementation of the national ice and snow industry’s strategy of “expanding from the south to the west and expanding from the east,” China’s ice and snow industry has ushered in a new period of development. By applying literature and logical analysis, etc., with in‐depth analysis of various subjective and objective supplies for the integration of China’s ice‐snow industry and ecocultural tourism in Hunan Province, it is considered to be driven by the bidding and preparation effect of Beijing Winter Olympic Games in 2022. The supply capacity of ice‐snow industry venues, professional facilities, and public services are gradually strengthened, and the soft power of construction of the ice‐snow industry needs to be coordinated and improved. The problem of safety is prominent and it is urgent to build a safety prevention and emergency management of ice‐snow tourism.The integration of ice‐snow sports and ecotourism industry has gradually became a prototype, but the integration point, line, and surface still need to be further strengthened and expanded. Accordingly, this paper puts forward a method to realize the transformation and upgrading of the commercial operation mode of the integration of ice‐snow industry and ecological culture tourism, comprehensively to improve the ecological innovation ability of ice‐snow tourism public service, to create multi‐industry ice‐snow industry cluster area, and to construct the basic framework system of risk prevention and control and management with multisubject participation and other relevant strategies.
Influencing Factors for an Integrated Model of Green Building Energy Consumption Using BIM Dynamic Simulation and Multiobjective Decision-Making
Authors: Liu Chenguang
Published: July 2022

Multiobjective decision-making, also known as multiobjective optimization, indicates that the needs of numerous goals impact the system scheme’s selection and decision-making direction. The rapid economic development and the acceleration of urbanization have promoted the prosperity of the construction industry, but at the same time, the problem of building energy consumption is also becoming more and more serious. In order to overcome this issue, this study proposes an optimization method for the impact selection of green building energy consumption. The machine learning (ML) algorithm, random forest (RF) is used to discover and design criteria relating to the influence of green building energy consumption. Then, based on the data of building information modeling (BIM) dynamic simulation, the optimization of the RF model in multiobjective decision-making in green building energy consumption is presented. Furthermore, a comparative study of the proposed system with the existing systems and deep learning (DL) models is also conducted. Performance of the proposed system is measured in terms of accuracy and ROC curve. The proposed system achieved a training accuracy of 95% and a testing accuracy of 83% which is superior to the earlier approaches. The experimental results show that the RF algorithm can effectively determine the relationship between the influencing factors of green building energy consumption. This approach also enables policymakers to better understand the complex relationships between green building energy consumption, which may subsequently improve the acceptability of decision-making.
Online Procurement and Inventory Technology Based on Cloud Computing System
Authors: Xue Yong , Sun Qingli
Published: July 2022

In order to explore the collaborative development of online procurement and inventory technology, this paper combines cloud computing technology to build online procurement and inventory management models, and builds a collaborative procurement computing experimental model with the help of a service system. Moreover, this paper clarifies the evolution problem of clustered supply chain network, and defines and constrains the model. In addition, this paper uses Agent technology to construct individual model and behavior model. Further, by complementing the advantages and disadvantages and mapping rules between Agent technology and Web service technology, the Agent model is mapped into a service model, which integrates the intelligence of Agent and the openness and cross-platform characteristics of Web services. Finally, this paper simulates the procurement and management model proposed in this paper through the simulation platform. The data analysis and research results show that the online procurement and inventory management technology based on the cloud computing system proposed in this paper can effectively promote the stable operation of procurement and inventory.
Cultural and Creative Design of Dunhuang Murals in Xixia Period Based on Deep Learning
Authors: Lu Xijun , Yang Yu , Wang Lei , Wang Heqi
Published: July 2022

In today’s era of innovation and the vigorous development of the digital economy, globalization and antiglobalization are intertwined, and cultural dissemination and integration are gradually expanding the influence and scope of the era; the revival and inheritance of traditional culture have become increasingly important in our country. The development of the creative industry is becoming more and more vigorous and full of vitality. Based on deep learning algorithms, this paper studies the cultural and creative design of Dunhuang frescoes in the Western Xia period. This paper analyzes the shortcomings of the current cultural and creative market and the characteristics of high-quality cultural and creative design, analyzes the principles of cultural and creative design of cultural relics, etc., proposes a generative confrontation network model, establishes a modern cultural and creative design model, and provides a three-level cultural model for cultural and creative design. The process is analyzed. In the evaluation and analysis of users, it is concluded that the integration of traditional culture design factor score is 4.80, conforming to the modern aesthetic situation is 4.63, conforming to the user’s expectation of “elegant” is 4.73, and the comprehensive score is 4.72.
Application of SVM-KNN Network Detection and Virtual Reality in the Visual Design of Artistic Images
Authors: Wu Liang , Chen Lin
Published: July 2022

The birth of computers has brought us unexpected progress and development in many ways. In this very real world of our human existence, the beginning of human perception of the world. It is a sensory organ that collects sensory information, and the same goes for people’s artistic creation and design. This paper discusses the classification effect of the combined model of support vector machine and SVM-KNN on the problem of virtual reality art images, analyzes the parameters of the optimized combined model, and then conducts a series of simulation analyses on the optimized model. So using this method can make the collected data more real and reliable, and it will be very convenient for us to process. Use the SVM algorithm to train the classifier when performing data classification and compare different training sample sizes and different kernel functions for empirical analysis and in-depth analysis of the accuracy of the two and the impact of the model. Through the data comparative analysis of SVM-KNN, the obtained results are more real and effective.
An Innovative Decision-Making Approach Based on Correlation Coefficients of Complex Picture Fuzzy Sets and Their Applications in Cluster Analysis
Authors: Qu Jianping , Nasir Abdul , Khan Sami Ullah , Nonlaopon Kamsing , Rahman Gauhar
Published: July 2022

In modern times, the organizational managements greatly depend on decision-making (DM). DM is considered the management’s fundamental function that helps the businesses and organizations to accomplish their targets. Several techniques and processes are proposed for the efficient DM. Sometimes, the situations are unclear and several factors make the process of DM uncertain. Fuzzy set theory has numerous tools to tackle such tentative and uncertain events. The complex picture fuzzy set (CPFS) is a super powerful fuzzy-based structure to cope with the various types of uncertainties. In this article, an innovative DM algorithm is designed which runs for several types of fuzzy information. In addition, a number of new notions are defined which act as the building blocks for the proposed algorithm, such as information energy of a CPFS, correlation between CPFSs, correlation coefficient of CPFSs, matrix of correlation coefficients, and composition of these matrices. Furthermore, some useful results and properties of the novel definitions have been presented. As an illustration, the proposed algorithm is applied to a clustering problem where a company intends to classify its products on the basis of features. Moreover, some experiments are performed for the purpose of comparison. Finally, a comprehensive analysis of the experimental results has been carried out, and the proposed technique is validated.
Polysaccharides Extracted from Angelica sinensis (Oliv.) Diels Relieve the Malignant Characteristics of Glioma Cells through Regulating the MiR-373-3p-Mediated TGF-β/Smad4 Signaling Pathway
Authors: Qu Chunhong , Dong Weifeng
Published: July 2022

Objectives. Angelica sinensis polysaccharide (ASP) is a traditional herbal medicine accompanied by antitumor potential. This study aims to explore the therapeutic potential of ASP on glioma, as well as the underlying mechanisms involving microRNA-373-3p (miR-373-3p) and the TGF-β/Smad4 signaling pathway. Methods. U251 cells (a human glioma cell line) were treated with different concentrations of ASP. miR-373-3p was silenced in U251 cells by the transfection of the miR-373-3p inhibitor. Cell viability and apoptosis were measured by CCK-8 assay and flow cytometry, respectively. Cell migration and invasion were detected by wound healing and transwell assays, respectively. The miR-373-3p expression was measured by RT-qPCR. The protein expressions of TGF-β and Smad4 were evaluated by both western blotting and immunofluorescence. Results. ASP inhibited the viability, migration, and invasion, and enhanced the apoptosis of U251 cells in a dose-dependent manner. ASP increased miR-373-3p expression and decreased TGF-β and Smad4 expressions in U251 cells. Silencing of miR-373-3p weakened the effects of ASP on inhibiting cell viability, migration, and invasion, as well as promoting cell apoptosis. In addition, deleting miR-373-3p weakened the inhibiting effects of ASP on the TGF-β/Smad4 pathway in U251 cells. Conclusions. ASP suppresses the malignant progression of glioma via regulating the miR-373-3p-mediated TGF-β/Smad4 pathway.
Misfire Detection in Spark Ignition Engine Using Transfer Learning
Authors: Naveen Venkatesh S. , Chakrapani G. , Senapti S. Babudeva , Annamalai K. , Elangovan M. , Indira V. , Sugumaran V. , Mahamuni Vetri Selvi
Published: July 2022

Misfire detection in an internal combustion engine is an important activity. Any undetected misfire can lead to loss of fuel and power in the automobile. As the fuel cost is more, one cannot afford to waste money because of the misfire. Even if one is ready to spend more money on fuel, the power of the engine comes down; thereby, the vehicle performance falls drastically because of the misfire in IC engines. Hence, researchers paid a lot of attention to detect the misfire in IC engines and rectify it. Drawbacks of conventional diagnostic techniques include the requirement of high level of human intelligence and professional expertise in the field, which made the researchers look for intelligent and automatic diagnostic tools. There are many techniques suggested by researchers to detect the misfire in IC engines. This paper proposes the use of transfer learning technology to detect the misfire in the IC engine. First, the vibration signals were collected from the engine head and plots are made which will work as input to the deep learning algorithms. The deep learning algorithms have the capability to learn from the plots of vibration signals and classify the state of the misfire in the IC engines. In the present work, the pretrained networks such as AlexNet, VGG-16, GoogLeNet, and ResNet-50 are employed to identify the misfire state of the engine. In the pretrained networks, the effect of hyperparameters such as back size, solver, learning rate, and train-test split ratio was studied and the best performing network was suggested for misfire detection.
Association between Blood Donation and Malignant and Benign Tumour Risk: A Population-Based Study of 3.4 Million Participants in China
Authors: Su Shu , Ma Ting , Sun Yang , Guo Lingxia , Su Xiaodong , Wang Wenhua , Xie Xinxin , Wang Liqin , Xing Lili , Zhang Leilei , He Shiyi , Yang Jiangcun , Zhang Lei
Published: July 2022

This study aims to identify the relationship between blood donation and malignant and benign tumour hospitalization risk. The cohort study was constructed in Shaanxi, China, to include blood donors and match nonblood donors one-to-one by gender, age, and county of residence. The study compared the hospitalization records of two groups from 2012 to 2018. A log-binomial regression model was used to estimate the relative risk (RR) of tumour risk between donors and nonblood donors among different age groups. A total of 1,625,599 donors were recruited (including 968,823 males) and compared with the matched nonblood donor group. Significantly lower risk of malignancy in males was found among donors (adjusted RR: 0.82, 95% CI: 0.75–0.92). Lower risks for specific types of tumours among donors were observed, including liver (0.42, [0.28–0.67]), lung (0.74, [0.59–0.87]), lymphoma (0.75, [0.62–0.85]), and oesophagus (0.55, [0.41–0.72]). However, the risk of brain cancer was higher among male donors (RR 1.19 [1.06–1.29]). Among female donors, lower risk of liver (0.57, [0.42–0.79]) and oesophagus malignancy (0.73, [0.62–0.88]) was observed. For benign tumours, male donors have a lower risk of benign skin tumour (0.79, [0.62–0.94]) and hemangioma and lymphangioma (0.75, [0.51–0.89]), while female donors have a lower risk in hemangioma and lymphangioma (0.65, [0.44–0.83]). We also found that the risk decreased with age among donors in the prevalence of tumours compared to that in nonblood donors (

p
<
0.05

). Blood donation appears to be significantly associated with various tumour risks among both males and females. Overall, the risk of tumours decreased more substantially with age in blood donors compared with nonblood donors. Further research is warranted to investigate the impact of ‘health donor effects’ on these findings.
Impact Analysis of Environmental Regulation and Improvement of Agricultural Economic Efficiency on Living Environment Based on Systematic GMM Model
Authors: Zhu Jiahui , Zhou Bin , Li Wenhan
Published: July 2022

The living environment is of vital importance to human beings and is also the basis for their survival and development. Along with the accumulation of people’s production and living experience, people are seeking their own development while studying the living environment more deeply. In recent years, various regions and departments have conscientiously implemented the relevant decisions and deployments. They have promoted the construction of rural infrastructure and the equalisation of basic public services between urban and rural areas, so that the rural living environment can be gradually improved. The rapid development of urban‐rural integration has brought great opportunities and challenges for rural development, making rural development issues increasingly complex and affecting the effectiveness of the construction of a new rural habitat. At the same time, the agricultural economy is the basis of national economic development, and the ecological environment provides a certain amount of material environment for the development of the agricultural economy. Therefore, research on the harmonious development of the agricultural economy and the ecological environment has always been a hot issue for the authorities concerned. After all, China’s agricultural economic development mode is characterized by a rough‐and‐ready approach, and the agroecological environment continues to deteriorate, leaving the issue of sustainable agricultural development to be resolved. What is worse, in the practice of agricultural production, the related agricultural activities have brought serious pollution to the environment. Specifically, the carrying capacity of the agricultural ecological environment is declining, leading to an increasingly serious conflict between sustainable agricultural economic development and the construction of an environmentally friendly and resource‐saving society. In China, although the industrialization process is accelerating, the agricultural population still accounts for a large proportion of the population. As people’s living standards continue to improve, a favorable living environment has become an urgent need for farmers. As a result, strengthening the construction of rural infrastructure, improving rural living conditions, and improving rural environmental sanitation are important issues that need to be addressed urgently. Therefore, to further investigate the impact of environmental regulation and agricultural economic efficiency on the habitat, this study constructs a systematic GMM model using panel data for 30 provinces and regions in China from 2011 to 2021.
Study on Relationship between Joint Surface’s Shear Strength and Morphology Parameter Deterioration of Typical Bank Slope in Wudongde
Authors: Zhang Jing Yu , Deng Huafeng , Sun Xushu , Feng Yunjie , Wang Wendong , Xiao Lei , Li Wenhua
Published: July 2022

The change of typical bank slope’s water occurrence environment and the special climatic condition of dry hot valley in Wudongde reservoir area will make the shear characteristics of jointed rock mass on bank slope deteriorate continuously. Based on this, the shear test of joint surface under heat-wet cycles is carried out. The results show the following. (1) The shear strength and joint roughness deteriorate significantly with the increasing test cycles, and the deterioration ranges are 70.90%–84.48% and 29.33%–61.56% in the first 5 cycles. (2) The shear strength’s deterioration caused by repeated shear is mainly in the initial state, and the shear strength’s deterioration caused by heat-wet cycles increases firstly and decreases later with the test cycles. (3) By introducing the equivalent damage coefficient of morphology, the shear strength calculation formula is improved, and it can be seen that the estimated value coincides with the modified test value. The research results can provide a reference for long-term variation and calculation method of joint surface’s shear strength under different water-rock interactions.
Cirsilineol Inhibits the Proliferation of Human Prostate Cancer Cells by Inducing Reactive Oxygen Species (ROS)-Mediated Apoptosis
Authors: Wahab Shadma , Alsayari Abdulrhman , Muhsinah Abdullatif Bin , Ahmad Irfan , Hussain Md. Sarfaraj , Mallick Jewel
Published: July 2022

Cirsilineol has been reported to exhibit anticancer effects against several human cancer cell lines. The present study was designed to evaluate the anticancer effects of cirsilineol against the human DU-145 prostate cancer cells. The results showed that cirsilineol suppressed the proliferation of DU-145 cancer cells in a dose-dependent manner with minimal cytotoxic effects against the normal cells. The IC50 of cirsilineol was found to be 7 μM and 110 μM against prostate cancer DU-145 and normal HPrEC prostate cells, respectively. Acridine orange and ethidium bromide (AO/EB) staining showed that cirsilineol induced apoptosis in DU-145 prostate cancer cells. The Annexin V/PI staining further confirmed the induction of apoptosis in DU-145 cells. The western blot analysis showed that cirsilineol suppressed the expression of Bax and upregulated the expression of Bcl-2 in prostate cancer DU-145 cells. Moreover, cirsilineol caused a dose-dependent increase in reactive oxygen species (ROS) levels in prostate cancer. Wound healing and Transwell assays showed that cirsilineol inhibits migration and invasion of DU-145 prostate cancer cells. Summing up, the results suggest that cirsilineol suppresses the proliferation of prostate cancer cells and may prove to be a beneficial lead molecule for the development of chemotherapy for prostate cancer.
Ruscogenin Prevents Folic Acid-Induced Acute Kidney Damage by Inhibiting Rev-erbα/β-Mediated Ferroptosis
Authors: Hu Mingyue , An Songbo
Published: July 2022

To investigate the pharmacodynamic effects of ruscogenin on acute kidney injury and the Rev-erbα/β regulation of ferroptosis intervention mechanism. The C57BL-6 mice were induced acute kidney injury with folic acid. Plasma, urine, and kidney samples were collected after intraperitoneal injection of ruscogenin (0.01, 0.1, and 1 mg/kg). We measured mouse kidney function indicators, including creatinine (CRE), blood urea nitrogen (BUN), N-acetyl-β-D-glucosidase (NAG), albumin, albumin and creatinine rate (ACR), renal index, and renal injury molecule-1 expression. Meanwhile, we detected the levels of ferroptosis indicators malondialdehyde (MDA), carbonylated proteins, iron ions, glutathione peroxidase 4 (GPX-4), and glutathione (GSH). The expression of solute carrier family 7 member 11 (Slc7a11), heme oxygenase-1 (HO-1), and Rev-erbα/β were detected by the Western blot and quantitative reverse transcription polymerase chain reaction (qRT-PCR), respectively. Ruscogenin (1 mg/kg) significantly reduced the index of folic acid-induced acute kidney injury and alleviated acute kidney injury. In kidney tissues, ruscogenin inhibited folic acid-induced Rev-erbα/β expression, restored HO-1 and SLC7A11 expression to normal levels, and alleviated ferroptosis. Ruscogenin ameliorates acute kidney injury via suppressing ferroptosis in kidney tissues through modulation of the Rev-erbα/β-SLC7A11/HO-1 pathway.
Application Research of Virtual Reality Animation Technology in Agricultural Literature Creation Image Internet of Things
Authors: Su Zhi , Chen Ling
Published: July 2022

As an important part of Huxiang culture, Meishan’s regional culture has grown independently in a semiclosed environment for a long time, so it has become a relatively complete and ancient mysterious form of culture. However, due to the scattered distribution of tourism resources, there are many difficulties in the research and development of Meishan culture. Based on the characteristics of Zhang Wulang’s regional culture, this paper uses the theory of virtual reality technology to guide research and design practice. First, the definitions of virtual tourism, virtual reality technology, Meishan culture and Zhang Wulang woodcarving techniques, artistic modelling, and engraving style are defined, and several other technical features and traits are discussed. Secondly, the laser scanning technology was used to carry out three-dimensional modelling of the characteristic buildings in Meishan regional culture and the representative Zhang Wulang woodcarving works. Finally, the characteristics of Meishan cultural tourism resources are combined to comprehensively grasp the development of tourism resources, the three-dimensional image reconstruction of Zhang Wulang model, and the dissemination of multimedia forms.
Personalized Clustering Method of Cross-Border e-Commerce Topics Based on ART Algorithm
Authors: Zhao Yuyuan , He Yuan , Wutao Zhao
Published: July 2022

Within the context of the Internet’s rapid development, the rise of cross-border e-commerce has undoubtedly created a once-in-a-generation opportunity for Chinese-made brands to expand internationally. Cross-border e-commerce is reshaping the way foreign trade is conducted. This paper begins by examining the development status of the cross-border e-commerce industry in Shaoxing, then investigates, and analyzes the factors influencing the development of cross-border e-commerce. Finally, it makes supporting policy recommendations. Additionally, this paper analyzes the logistics links in cross-border e-commerce and discusses its hot topics using the ART algorithm and personalized clustering method.
Multipoint Distribution Vehicle Routing Optimization Problem considering Random Demand and Changing Load
Authors: Pan Xiaoming , Wu Yong , Chong Gao
Published: July 2022

In the distribution scenario, the using cost of vehicles is closely related to energy consumption, and the energy consumption rate of a vehicle is closely related to the size of its load. The traditional vehicle routing optimization model takes the shortest distance as the optimization goal when the customer demand is determined, while the influence of the random demand and the changing load on the energy consumption and cost of vehicles in the process of distribution is ignored. Therefore, in this paper, load varying vehicle routing problem with stochastic demands (LVGVRPSD) model is proposed with the goal of minimizing transportation energy consumption and considering the load variability and the randomness of customer demand. K-means clustering algorithm is combined with ant colony optimization (ACO) to solve the problem, and the constraint of risk probability is introduced to describe the vehicle overload problem. Examples in the standard vehicle routing problem test data set are provided and analyzed. LVGVRPSD is also compared with the traditional capacitated vehicle routing problem (CVRP) model. The case study results show that the vehicle energy consumption can be reduced by 2% in the model that considers changing load compared to the model that does not consider changing load. The results illustrate that the method of path optimization is more advantageous and reasonable in the pursuit of reducing energy consumption, when the changing load and the random demand of customer are considered.
English Online Teaching Resource Processing Based on Intelligent Cloud Computing Technology
Authors: Zhang Wenjuan
Published: July 2022

In order to improve the processing effect of English online teaching resources, this paper improves the efficiency of resource processing by building an intelligent cloud system. Aiming at the problem of insufficient acquisition of traditional teaching resources, this paper adopts the intelligent data acquisition method and proposes an English resource mining method based on crawler technology. Moreover, in view of the difficulty of English semantic recognition, this paper proposes a method for calculating weights of feature items weighted by mixed factors on the basis of traditional algorithms and constructs a system model based on the characteristics of online English teaching. In addition, in order to explore the system effect, the model proposed in this paper is verified by clustering experiments. Through the experimental research, it can be seen that the English online teaching resource processing system has a good effect in the processing of English teaching resources.
[Retracted] The Practices of Solid Waste Utility and Thriving Conditions of Logistics (a Case of Tepi Town): A Study to Treat the Healthy Environment
Authors: Amare Ngiste , Al-Bhadly Ola , Birhan Mequanint , Sulaiman Hamid Sana , Mohamad A. Abdullah. H.
Published: July 2022

Unwanted remains, discarded residues, and byproduct materials that are not required by the initial user are known as wastes. In Ethiopia, improper solid waste management becomes endemic and it affects the health conditions, comforts, and freedom of town communities. Improper solid waste management can also adversely affect infrastructure damages, socioeconomic conditions, and environmental and health problems. So, awareness creation among the communities is necessary. The main objective of the study was to assess the management of existing solid waste activities and reverse logistic systems in Tepi town. The impacts of improper solid waste management were reduced through waste accumulation, transportation, recycling, and waste removal. Available pieces of information for the study were gathered from 450 near house places and 549 survivals. The collected data were analyzed by using Vensim system dynamics software, and the obtained results were modeled by a system dynamic cause and effect relationship diagram. Finally, the appropriate recommendations for communities, municipals, and institutions were provided.
An Approach of Decision-Making under the Framework of Fermatean Fuzzy Sets
Authors: Sindhu Muhammad Sarwar , Siddique Imran , Ahsan Muhammad , Jarad Fahd , Altunok Taner
Published: July 2022

Because of its influence on various elements of human life experiences and conditions, the building industry is a significant business. In the recent past, environmental considerations have been incorporated in the design and planning stages of building supply chains. The process of evaluating and selecting suppliers is one of the most important issues in supply chain management. A multicriteria decision-making (MCDM) problem can be utilized to handle such issues. The goal of this research is to present a new and efficient technique for selecting suppliers with ambiguous data. The suggested methodology’s structure is based on technology for order of preference by similarity to ideal solution (TOPSIS), with Fermatean fuzzy sets (

F

r

FSs) employed to cope with information uncertainty. In this article, authors modified the distance between

F

r

FSs to propose the similarity measure and implemented it to form the MCDM model to resolve the vague and uncertain data. Moreover, we used this similarity measure to choose the optimal alternative. A practical example for alternative selection is provided, along with a comparison of the acquired findings to existing approach. Finally, to strengthen the outcome obtained through the proposed model, sensitivity analysis and time complexity analysis are performed.