bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence
Authors: Zhang Fang , Zhang Zhen , Xiao Hui
Published: September 2022

In recent years, the continuous development of big data, cloud services, Internet+, artificial intelligence, and other technologies has accelerated the improvement of data communication services in the traditional pharmaceutical industry. It plays a leading role in the development of my country’s pharmaceutical industry, deepening the reform of the health system, improving the efficiency and quality of medical services, and developing new technologies. In this context, we make the following research and draw the following conclusions: (1) the scale of my country’s medical big data market is constantly increasing, and the global medical big data market is also increasing. Compared with the global medical big data market, China’s medical big data has grown at a faster rate. From the initial 10.33% in 2015, the proportion has reached 38.7% after 7 years, and the proportion has increased by 28.37%. (2) Generally speaking, urine is mainly slightly acidic, that is, the pH is around 6.0, the normal range is 5.0 to 7.0, and there are also neutral or slightly alkaline. 8 and 7.5 are generally people with some physical problems. In recent years, the pharmaceutical industry has continuously developed technologies such as big data, cloud computing, Internet+, and artificial intelligence by improving data transmission services. As an important strategic resource of the country, the generation of great medical skills and great information is of great significance to the development of my country’s pharmaceutical industry and the deepening of the reform of the national medical system. Improve the efficiency and level of medical services, and establish forms and services. Accelerate economic growth. In this sense, we set out to explore.
Utilization of Animal Solid Waste for Electricity Generation in the Northwest of Iran 3E Analysis for One-Year Simulation
Authors: Abed Azher M. , Lafta Holya A. , Alayi Reza , Tamim Hossein , Sharifpur Mohsen , Khalilpoor Nima , Bagheri Behnam
Published: September 2022

Today, the use of renewable energy is increasing day by day. The most susceptible to renewable energy is biomass energy because it depends directly on the size of the population and does not have the problems of other renewable energies such as lack of access day and night and constant change throughout the year. For this reason, animal solid waste has been used in the research to supply electrical energy to the study area. In this regard, the amount of animal waste is considered as a source of biomass input energy. HOMER software was used to simulate the system under study. To better compare the competitiveness of this energy, photovoltaic systems and wind turbines have been used as different scenarios of electrical energy production in the study area. The results of scenario analysis showed that in all designed systems, the highest amount of energy production was in July and was related to the hottest season of the year. Among hybrid systems, the biomass system has a higher priority than other systems due to the minimum cost of energy production and total net present cost (NPC). The amount of exhaust gas from the biomass system reached 53.5 kg/yr and the biomass-wind and biomass-wind-solar systems reached 52.5 kg/yr and 52.2 kg/yr, respectively. The surplus generated electricity also increases from 2.91% to 6.65% from the biomass-wind system to the biomass-with-solar system.
Identification of Molecular Targets and Underlying Mechanisms of Xiaoji Recipe against Pancreatic Cancer Based on Network Pharmacology
Authors: Xia Cunbing , Chen Dexuan , Wang Gaoyuan , Sun Haijian , Lin Jingran , Chen Chen , Shen Tong , Cheng Hui , Pan Chao , Xu Dong , Yang Hongbao , Zhu Yongkang , Zhu Hong
Published: September 2022

Traditional Chinese medicine (TCM) is applied in the anticancer adjuvant therapy of various malignancies and pancreatic cancer included. Xiaoji recipe consists several TCM materials with anticancer activities. In our work, we intended to analyze the molecular targets as well as the underlying mechanisms of Xiaoji recipe against pancreatic cancer. A total of 32 active components and 522 potential targets of Xiaoji recipe were selected using the TCMSP and SwissTargetPrediction databases. The potential target gene prediction in pancreatic cancer was performed using OMIM, Disgenet, and Genecards databases, and totally, 998 target genes were obtained. The component-disease network was constructed using the Cytoscape software, and 116 shared targets of pancreatic cancer and Xiaoji recipe were screened out. As shown in the protein–protein interaction (PPI) network, the top 20 hub genes such as TP53, HRAS, AKT1, VEGFA, STAT3, EGFR, and SRC were further selected by degree. GO and KEGG functional enrichment analysis revealed that Xiaoji recipe may affect pancreatic cancer progression by targeting the PI3K/AKT and MAPK signaling pathways. Moreover, we performed in vitro assays to explore the effect of Xiaoji recipe on pancreatic cancer cells. The results revealed that Xiaoji recipe suppressed the viability and migration and promoted the apoptosis of pancreatic cancer cells via the inactivation of PI3K/AKT, MAPK, and STAT3 pathways. The findings of our study suggested the potential of Xiaoji recipe in the targeting therapy of pancreatic cancer.
Efficacy of Dapagliflozin in Patients with Diabetes Mellitus Complicated with Coronary Artery Disease and Its Impact on the Vascular Endothelial Function
Authors: Ma Fei , Zhang Jun , Wang Huan , Wu Yan , Wu Yuliang
Published: September 2022

Objective. To investigate the efficacy of dapagliflozin for diabetes mellitus complicated by coronary artery diseases and its impact on vascular endothelial function. Methods. Between August 2020 and August 2021, 80 patients with coronary heart disease complicated by type 2 diabetes mellitus were recruited and randomly assigned to receive either dapagliflozin (5 mg daily) plus original oral hypoglycemic agents (dapagliflozin group) or original oral hypoglycemic agents alone (control group). Outcome measures included blood pressure, blood glucose, cholesterol levels, vascular endothelial function, cardiovascular events, and drug-related adverse events. Results. The two groups had similar outcome indices upon admission (

P
>
0.05

). After 20 weeks of medication, the two groups of patients showed similar blood pressure, hemoglobin A1c (HbA1c), and low-density lipoprotein (LDL-C) levels versus those before treatment (

P
>
0.05

), and no significant differences were found in intergroup comparison neither (

P
>
0.05

). Dapagliflozin plus conventional hypoglycemic agents resulted in a significantly higher reactive hyperemia index (RHI) value, fewer cases with abnormal vascular endothelial function, and fewer major cardiovascular events during treatment versus the sole use of conventional hypoglycemic agents (

P
<
0.05

). There was no significant difference in drug-related adverse events between the two groups (

P
>
0.05

). Conclusion. Dapagliflozin improves the vascular endothelial functions of patients with diabetes mellitus complicated by coronary artery disease with a high safety profile and favorable efficacy.
An Investigation into Major Sheep Diseases and Management Practices in North Shewa Zone, Oromia, Ethiopia
Authors: Birhanu Tadesse , Debelu Tesfaye , Muhammed Said , Getachew Fikiru
Published: September 2022

Sheep have many advantages over large ruminants for most smallholder farmers: lower feed costs, quicker turnover, easy management, and appropriate size at slaughter can be mentioned. They produce in a wide range of agroecologies, from arid lowlands to extremely cool highlands. However, their productivity is hindered by disease burden and poor management practices. In the study area, information on the disease of sheep and related management practices is lacking. Thus, the study aimed to determine the major sheep diseases and management practices in North Shewa Zone, Oromia, Ethiopia. A cross-sectional study design was used from October 2020 to July 2021 in the zone. A multistage sampling technique was used to select study districts and their respective kebeles, while the households were purposively selected. Questionnaire survey, in-depth interview, and physical clinical examination were conducted. A total of 400 households were involved in this study, a majority (32.8%) of whom were illiterates. Ovine pasteurellosis (55.8%) was the major bacterial disease in highlands, whereas sheep pox (54.5%) was the most challenging viral disease in the area. Mange mites (41.3%) were the major parasitic disease. The design of houses was medium (34.5%) which were bedded using sand floor (79.8%) and grass (5.75%), but the drainage system of the house was poorly designed (46.8%) in highlands. A majority of the owners (67.3%) used traditional medicines for the treatment of sheep disease. This study concluded that the burden of the diseases was higher and the management practices were poor in the area, deteriorating the economic benefit of farmers from sheep production. Thus, it urges for operating technical interventions.
Time to First Sexual Experience and Its Determinants among Female Youths in Ethiopia: Survival Analysis Based on EDHS 2016
Authors: Kitaw Tegene Atamenta , Haile Ribka Nigatu
Published: September 2022

Background. The first sexual experience is the most significant event in a woman’s life. Early sexual experience has short‐ and long‐term health and behavioral risks. Studying the estimated time for a female to have her first sexual debut is important to reduce its health, demographic, and socioeconomic consequences. Thus, this study is aimed at assessing the time to first sexual experience and its determinants in Ethiopia. Methods. A survival analysis of time to first sexual experience was conducted among 6143 weighted study subjects. The data were extracted from EDHS 2016 using STATA version 16 software. A Kaplan‐Meier survival curve was computed to estimate the time of first sexual experience. A log‐rank test was used to compare the difference in survival curves. The Cox proportional hazard regression model was used to identify significant predictors. On multivariable analysis, variables having a p value of ≤ 0.05 are considered statically significant. Results. The overall median survival time was 16 years. The significant determinants of time to first sexual experience are educational level (no education (AHR = 2.72, 95% CI: 2.16, 3.39), primary education (AHR = 2.17, 95% CI: 1.79, 2.63), and secondary education (AHR = 1.47, 95% CI: 1.21, 1.77)) and wealth index (poor (AHR = 1.15, 95% CI: 1.00, 1.32)). Conclusion. About 50% of female youths have a sexual experience for the first time before their 16th birthday. The timing of the first sexual experience in Ethiopia was mainly influenced by educational level and wealth index. Universal access to education and poverty reduction should be the area of concern.
Nonharmonic Control of the Blade-Vortex Interaction Noise of Electrically Controlled Rotor
Authors: Li Kewei , Su Taoyong , Lu Yang , Zhao Qijun
Published: September 2022

Electrically controlled rotor, also known as swashplateless rotor, represents an active rotor system that, due to the use of a trailing edge flap system instead of a swashplate, not only enables primary control but also conveniently reduces the blade-vortex interaction (BVI) noise of the rotors through active control. The effect of nonharmonic inputs on the control of the BVI noise of electrically controlled rotors based on their unique trailing edge flap systems has been investigated in this paper. To this end, an analytical model for the vortex interaction-induced load and noise of electrically controlled rotor is first established based on the viscous vortex particle method, the Weissinger-L blade model, and the Ffowcs Williams-Hawkings (FW-H) equation. On this basis, a simulation study of flap nonharmonic control for BVI noise reduction in electrically controlled rotors is carried out. According to the mechanism of the BVI in electrically controlled rotors, the second quadrant flap nonharmonic control is used to reduce the advancing side BVI noise, and the effects of different control waveforms and amplitudes on the peak value and directivity of the BVI noise of the sample electrically controlled rotors are analyzed to reveal the noise reduction mechanism of flap nonharmonic control. Subsequently, the effect of the third quadrant flap nonharmonic control on BVI noise on the retreating side of the sample electrically controlled rotors is investigated. The results show that flap nonharmonic control has little effect on miss distance and that it controls BVI noise mainly by reducing the wake vortex strength on the advancing and retreating sides, which may lead to an increase in rotor noise in other regions; the noise reduction effect of flap nonharmonic control for different blade preindex angles indicates that suitable preindex angles coupled with flap nonharmonic control help optimally reduce noise.
Dynamic Analysis and Optimal Control of Rumor Propagation Model with Reporting Effect
Authors: Pan Wenqi , Yan Weijun , Hu Yuhan , He Ruimiao , Wu Libing
Published: September 2022

Media reports and the number of rumors in the media have an important impact on the spread of rumors. Currently, studies that consider these two factors comprehensively on rumor propagation are uncommon. It is better to consider both effects comprehensively than to consider one of them alone. In this paper, we established a new propagation model, which regards the number of rumors in the media as a subclass that changes with time, and then comprehensively considered the effect of these two factors on the process of rumor propagation. We proved the existence and stability of equilibrium points of the model. Then, we selected two reasonable control variables: science popularization intensity and punishment intensity. We find that the control effects are optimal when these two control variables take the maximum value. Theoretical analysis and numerical simulation results showed that positive media publicity can reduce the spread of rumors, but cannot stop the spread of rumors. And under the parameters given in this paper, the optimal control parameter values satisfying the constraints can be calculated through quantitative analysis. This method provided a new idea for studying the optimal control of rumor propagation.
[Retracted] Rural Architectural Planning and Landscape Optimization Design under the Background of Ecological Environment Protection
Authors: Wu Wei , Wang Xuan , Liu Dan , Su Heng
Published: September 2022

The ecological problems faced by China’s environmental protection are becoming more and more serious. Serious haze occurs frequently in some areas. Water pollution, soil pollution, and other new types of pollution are still relatively prominent problems. Therefore, rural architectural planning and landscape optimization design should be based on the premise of ecological environmental protection. This paper puts forward the evaluation of rural architectural planning and landscape in the context of ecological environment protection and uses the analytic hierarchy process to analyze and obtain the evaluation results. This method has a comprehensive and scientific powerful evaluation function. The experimental results of this paper show that after the evaluation of the analytic hierarchy process, it is found that the comprehensive score of the architectural planning and landscape of village A is not very high. The highest weight is 0.3210, the landscape diversity score of street A is 1.28, and the landscape diversity score of street D is 1.76. This is the highest score, indicating that the architectural planning and landscape of the village cannot meet the needs of contemporary ecological environmental protection. Aiming at the problems existing in the landscape, the corresponding measures are also given at the end of the experiment, which has certain significance for the landscape optimization design.
Scenario-Based Teaching Design of International Trade Practice Based on Deep Learning
Authors: Lan Zhenfeng
Published: September 2022

In the context of the fourth global industrial revolution, the trading environment of international trade is undergoing profound changes. In today’s deep integration of globalization, the teaching mode of economic application courses—international trade practice situational teaching mode—is bound to change. This article sorts out the problems existing in the curriculum from the perspectives of the integration of the practical curriculum, the cohesion of the trade process, and the teaching concepts and methods. On the basis of deep learning, a situational teaching design process of international trade practice is constructed.
Double-Layer Optimal Configuration Method of Hybrid Energy Storage System Based on Chaotic Ant Colony Algorithm
Authors: Liu Jing Yuan , Yang Xu , Guo Jin Gang , Wang Da , Zhao Hai , Lan Yue
Published: September 2022

In order to stabilize the output fluctuation of wind power generation, this paper applies control strategy to control the action of the battery energy storage system according to the stability target, and quickly makes up for the system demand. In this paper, the optimal scheduling of new energy power system with energy storage is studied. This model predictive control is introduced into a certain system and optimized by model predictive control strategy so that the combination can match the predetermined expectations. Then, the model predictive control strategy is used to improve the schedulability of the wind farm. The objective function is to minimize the amount of action, and the composite output can track the scheduling instructions. Considering the cost, the way of storage and operation cost is optimized, and the penalty cost of wind abandonment is also reduced. Through rolling optimization and feedback correction, the model predictive control is optimized and solved, and finally, the action instructions of the storage system are obtained so that the storage output can effectively calm the wind. Power makes the combination schedulable. The optimized wind power/energy storage output is equivalent to the benign and dispatchable power supply of the power grid.
[Retracted] Thinking and Research on Ideology Education of University Student Based on Deep Learning in Small Sample Environment
Authors: Kong Lingyun
Published: September 2022

Building an evaluation system for new media ideology education in colleges and other higher education institutions is helpful for assessing the current ideology education and encouraging high levels of information technology integration in ideology education has emerged as a key strategy for this type of education. Based on the central tenet of deep learning theory, ideology education for university students can explore educational strategies from six perspectives in order to achieve deep learning for universities. These six perspectives are opening educational channels, integrating educational contents, assisting knowledge construction, creating educational situations, problem‐solving, and developing multiple evaluations. This study proposes a deep learning‐based evaluation model for ideology teaching through new media in higher education institutions and colleges, applies deep learning theory to the study’s research samples, and calculates the degree of association. Test samples are used to evaluate the network, and positive test outcomes are attained. The deep learning model can effectively increase the accuracy of choosing an ideological and political education approach, as evidenced by its average ideal accuracy of 92.6 percent, which is higher than that of PS‐BP and DE‐BP, which are 86.4 percent and 82.2 percent, respectively.
[Retracted] Analysis of College Students’ Mental Health Education Model Based on Media Integration
Authors: Wu Yanjun , Jiang Shuai , Zhang Liling
Published: September 2022

At present, the mental health problems of college students in China are on the rise. Many incentives lead to college students becoming a psychological vulnerable group, lacking the minimum “decompression ability” in the face of pressure. With the emergence of new media and the increasingly obvious fusion of new media and traditional media, the recognition algorithm of media fusion begins to enter people’s vision, and multimedia fusion has gradually formed an irresistible development trend. Based on the media fusion recognition algorithm under the background of media fusion, this paper studies the model of college students’ mental health education. In the process of comparing the accuracy of college students’ mental health, the accuracy of this method is the highest, up to 99.25%, followed by the decision tree algorithm, up to 80.53%, and finally the ant colony algorithm, up to 75.25%. Therefore, this method is more conducive to the study of college students’ mental health. Under the media fusion recognition algorithm, colleges and universities should give full play to the advantages of media fusion, broaden the path of mental health education, enhance the effectiveness of mental health education, improve the quality and efficiency of education, and guide the mental health growth of college students.
Inhibition of miR-29b-1-5p Attenuates Inflammatory Response and Pulmonary Fibrosis in LPS-Induced Acute Lung Injury by Regulating RTN4 Expression
Authors: Wang Jieqiong , Chen Ming , Xu Weihua , Shou Lu , Jin Xiaosheng , Xu Xianrong , Huang Feihua
Published: September 2022

Objective. Acute lung injury (ALI) is a severe respiratory disorder causing alveolar-capillary barrier, leading to a high rate of morbidity and death in critically ill individuals. microRNAs (miRNAs)-mediated mechanism in the pathogenesis of ALI has attracted much interest. Herein, we attempt to characterize a candidate miRNA and its downstream target that is linked to the pathogenesis of ALI. Methods. LPS-conditioned MH-S cells were treated with miR-29a-1-5p mimic, inhibitor, and RNT4 expression vector, and the ALI animal model was injected with agomir and antagomir of miR-29b-1-5p and RNT4 expression vector, in which the pro-inflammatory cytokine production, cell viability and apoptosis, myeloperoxidase (MPO) activity, wet/dry (W/D) ratio, and expression of TGF-β1, α-smooth muscle actin (α-SMA), E-cadherin, and vimentin were examined. miR-29a-1-5p inhibition of RTN4 translation was confirmed by luciferase activity assays. Results. An elevated miR-29a-1-5p expression was demonstrated in LPS-conditioned MH-S cells. miR-29a-1-5p inhibitor transfection attenuated the production of pro-inflammatory cytokines and MH-S cell viability but enhanced the apoptosis. miR-29a-1-5p inhibition of RTN4 translation was demonstrated in the setting of LPS-induced ALI. LPS-induced murine models demonstrated upregulated miR-29a-1-5p. Intravenous injection of miR-29b-1-5p agomir attenuated mouse lung injury and pulmonary fibrosis. RTN4 overexpression resisting to miR-29a-1-5p overexpression was demonstrated in LPS-induced murine models. Conclusion. The findings obtained from the study that disturbing the action of miR-29a-1-5p may be a novel therapeutic strategy for preventing ALI.
Dynamic Simulation and Comprehensive Quantitative Evaluation of Rural Tourism Core Competitiveness Based on Neural Network
Authors: Gan Shiyuan
Published: September 2022

Rural tourism is the purpose of vacation tourism, which is an important support for rural economic development. Neural network algorithms are the second way to simulate human thinking. The purpose of this paper is to obtain benefits and diversify risks through dynamic simulation analysis and comprehensive quantitative analysis based on the neural network algorithm, so as to improve the core competitiveness of rural tourism. This paper first designs the neural network algorithm model, then analyzes the dynamic simulation model and comprehensive quantitative analysis, and then uses the artificial neural network algorithm to analyze and predict the core competitiveness of rural tourism. The results confirm the effectiveness of the algorithm. Under the demand forecast of the core competitiveness of rural tourism, using the artificial neural network algorithm, taking city A as an example, the number of tourists in rural tourism in city A from 2017 to 2021 was analyzed. The year with the largest number of people is 2021, with 2,586,000 people, and the year with the largest growth rate is 2019, with 2,576,900 people, a growth rate of 24.16%. Comparing the experimental data of each group, the results show that the algorithm has high efficiency in solving problems and also confirms the scientific validity of the algorithm.
[Retracted] Cross‐Cultural Education and College English Speculative Reading Teaching in Multi‐Modal Theoretical Environment
Authors: Huang Yan , Xia Xianqing
Published: September 2022

Due to the extensive development of globalization, the ethnic makeup of the world is becoming more and more complex, and the issue of cultural diversity has emerged as a key concern for all nations’ educational systems. Cross‐cultural education is an educational prescription for many western countries to deal with cultural diversity and strengthen national cohesion in order to address this issue and promote mutual respect, understanding, and communication between different groups and individuals. One of the most recent developments in global education is cross‐cultural education, which has also given rise to a brand‐new area of study in the field of education. The research has identified cross‐cultural education as making up about 50% of all education. Numerous nations have practiced cross‐cultural education, which has been promoted by UNESCO, with many issues that merit study. The traditional English teaching approach cannot meet the learning needs of today’s students in light of the recent curriculum reform, and students have long engaged in passive learning. College English instructors must modify traditional teaching philosophies, adapt to contemporary developments, integrate information technology, use a variety of teaching techniques, fully pique students’ interest in learning, and encourage them to take the initiative in their own education if they want to reclaim the initiative from the students in their classrooms.
Synthesis and Characterization of Fucoidan-Chitosan Nanoparticles Targeting P-Selectin for Effective Atherosclerosis Therapy
Authors: Liu Mingying , Zhang Yu , Ma Xuewei , Zhang Bo , Huang Yinghui , Zhao Jinghong , Wang Shaobo , Li Yan , Zhu Yingguo , Xiong Jiachuan , He Ting , Wang Yue , Han Wenhao , Yang Ke , Bi Xianjin , Liu Yong , Zhang Hao
Published: September 2022

Atherosclerosis is the key pathogenesis of cardiovascular diseases; oxidative stress, which is induced by the generated excess reactive oxygen species (ROS), has been a crucial mechanism underlying this pathology. Nanoparticles (NPs) represent a novel strategy for the development of potential therapies against atherosclerosis, and multifunctional NPs possessing antioxidative capacities hold promise for amelioration of vascular injury caused by ROS and for evading off-target effects; materials that are currently used for NP synthesis often serve as vehicles that do not possess intrinsic biological activities; however, they may affect the surrounding healthy environment due to decomposition of products. Herein, we used nontoxic fucoidan, a sulfated polysaccharide derived from a marine organism, to develop chitosan–fucoidan nanoparticles (CFNs). Then, by binding to P-selectin, an inflammatory adhesion exhibited molecule expression on the endothelial cells and activated platelets, blocking leukocyte recruitment and rolling on platelets and endothelium. CFNs exhibit antioxidant and anti-inflammatory properties. Nevertheless, by now, the application of CFNs for the target delivery regarding therapeutics specific to atherosclerotic plaques is not well investigated. The produced CFNs were physicochemically characterized using transmission electron microscopy (TEM), together with Fourier transform infrared spectroscopy (FTIR). Evaluations of the in vitro antioxidant as well as anti-inflammatory activities exhibited by CFNs were based on the measurement of their ROS scavenging abilities and investigating inflammatory mediator levels. The in vivo pharmacokinetics and binding efficiency of the CFNs to atherosclerotic plaques were also evaluated. The therapeutic effects indicated that CFNs effectively suppressed local oxidative stress and inflammation by targeting P-selectin in atheromatous plaques and thereby preventing the progression of atherosclerosis.
The Influence of Occupational Therapy on College Students’ Home Physical Exercise Behavior and Mental Health Status under the Artificial Intelligence Technology
Authors: SONG Chao , Sha G. E. , Yao Wanxiang , YANG Linhai
Published: September 2022

The core of occupational therapy is to help patients with mental illness recover their social work, give play to their self-worth, obtain financial resources, and improve their self-confidence. Occupational therapy can help patients relieve symptoms and restore social function, reduce disease recurrence, and improve the reemployment rate and the overall health level of patients. In order to deeply excavate the inner connection between the mental health status and physical exercise status of college students, the physical exercise behavior of college students during home isolation is studied. First, the “physical exercise behavior questionnaire” and “symptom self-assessment scale” were used to investigate the physical exercise behavior and mental health status of college students. Second, descriptive statistics, correlation analysis, independent sample

t

-test, and variance analysis were carried out on the survey results using mathematical statistics methods and big data technology. The survey results show high reliability, and the Cronbach’s

α

coefficients were all greater than 0.9. There was a positive correlation between physical exercise methods and mental health in general, and the difference in the degree of exercise is significantly different from the mental health of students (

p
<
0.05

). With the increase of exercise intensity, the score of “symptom self-assessment scale” first decreased and then increased, and the exercise intensity of medium and high intensity showed the best psychological state. And the correlation dimension of depression was the highest. This indicated that the students who liked family physical exercise were less likely to suffer from depression. In addition, depression was the most relevant dimension with self demand physical exercise, and interpersonal sensitivity was the most relevant dimension with social expansion physical exercise. The conclusion shows that the more active the students participate in family physical exercise, the healthier their mental state is. Occupational therapy has obvious curative effect on depression, which can improve patients’ negative symptoms, their living ability, and social function. Meanwhile, analyzing data through big data technology reduces human workload and improves data processing efficiency and accuracy. The scheme proposed here provides some ideas for the application of big data technology in occupational therapy.
Analysis of Risk Factors for Postoperative Lower Extremity Deep Venous Thrombosis and its Treatment and Nursing
Authors: Liu Huayun , Peng Yunhua
Published: September 2022

Objective. To explore the risk factors of lower extremity deep venous thrombosis (LEDVT) after surgery and discuss the treatment and nursing countermeasures. Methods. A retrospective analysis was conducted on 268 surgical patients admitted between July to December 2021. The factors associated with LEDVT were analyzed using the Logistic regression model. Further, LEDVT patients were assigned to a research group treated with targeted nursing to prevent LEDVT and a control group that used routine care. Coagulation function and inflammatory cytokines before and after nursing intervention were compared between groups. The assessment of patients’ mobility employed the lower limb motor function part of the Fugel–Meyer Assessment (FMA), Harris Hip Score (HHS), and Barthel index (BI), and their psychological status was evaluated using the Kolcaba’s General Comfort Questionnaire (GCQ) and Self-rating Anxiety/Depression Scale (SAS/SDS). Finally, patient satisfaction with the treatment service was investigated. Results. Logistic regression analysis showed that hypertension, limb paralysis, central venous catheterization of lower limbs, and bedridden time affect postoperative LEDVT in an independent way (

P
<
0.05

). After the intervention, the coagulation function and inflammatory reaction were improved in both groups, with more significant improvement in the research group (

P
<
0.05

). The research group also showed higher FMA, Harris, GCQ, and BI scores while lower SAS and SDS scores than the control group postnursing intervention (

P
<
0.05

). Finally, a higher satisfaction rate was identified in the research group as compared to the control group (

P
<
0.05

). Conclusion. Hypertension, limb paralysis, CVC of lower limbs, and bedridden time are all independent risk factors for LEDVT after surgery. The implementation of targeted nursing strategies for the above factors can effectively alleviate the hypercoagulable state of patients after operation, reduce inflammatory responses, and improve patient comfort, which is of great significance for preventing the occurrence of LEDVT.
Integrated Analysis of C16orf54 as a Potential Prognostic, Diagnostic, and Immune Marker across Pan-Cancer
Authors: Du Xinna , Xia Wei , Fan Weiping , Shen Xuan , Wu Hongyan , Zhang Hu
Published: September 2022

Chromosome 16 open reading frame 54 (C16orf54) is a protein coding gene, showing a biased expression in the bone marrow, lymph node, and 11 other tissues. Reports on the function of C16orf54 in the onset and development of tumours remain scarce. Clinical information and tumour expression profile data from The Cancer Genome Atlas (TCGA), Cancer Cell Line Encyclopedia (CCLE), and Genotype-Tissue Expression (GTEx) were utilized to determine the relationship between C16orf54 expression and prognosis, diagnosis, immune microenvironment, heterogeneity, and stemness across pan-cancer. The findings ascertained that C16orf54 was expressed at a low level in most cancers. Furthermore, C16orf54 could distinguish between cancer and normal tissues with high accuracy in most cancers, and the prognostic significance of low C16orf54 mRNA levels differs across cancers. C16orf54 expression was positively linked to the stromal, immune, and ESTIMATE scores. On the other hand, C16orf54 was reported to be negatively correlated with tumour purity in most cancers. Further, C16orf54 expression was positively correlated with immune cell infiltration and the expression of immune regulatory genes, including chemokines, receptors, major histocompatibility complexes, immune inhibitory, and immune stimulatory genes, in most cancers. Additionally, C16orf54 expression was significantly associated with tumour heterogeneity indicators, such as tumour mutation burden (TMB) and microsatellite instability (MSI), and was significantly correlated with DNAss and RNAss tumour stemness indicators. Moreover, Kyoto Encyclopaedia of Genes and Genomes (KEGG) analysis, as well as Gene Set Enrichment analysis (GSEA), revealed that C16orf54 expression was closely linked to the signalling pathways of immune cells and factors. The integrated analysis of C16orf54 indicates it as a potential prognostic, diagnostic, and immune marker, which could be adopted as a novel target for adjuvant immunotherapy across pan-cancer.
[Retracted] Influence of Knowledge‐Based Employee Incentive Construction on Innovation Performance Using Psychological Capital
Authors: Ge Yuanqin , He Yang , Huang Zhen , Sun Xiaomeng
Published: September 2022

Background. Driven by the Silk Road Economic Belt idea, Xinjiang Uygur Autonomous Region can fully play its regional advantages and innovate the open economic system. It can transform and upgrade industrial structures with strong regional characteristics and advantages in Shihezi. Objective. The purpose is to explore the impact of knowledge‐based employee incentive mechanism (EIM) on innovation performance. It is hoped to innovate the knowledge‐based worker (KBW) management in Shihezi enterprises. Methods. Based on the psychological theory, the actual production, and living conditions in Shihezi, a questionnaire survey is conducted on the KBWs of typical enterprises in Shihezi. The questionnaire is designed by considering the characteristics of KBWs in Shihezi City under the Development Strategy of Western Chinese Cities. In addition, relevant structural equation models and hypotheses are proposed to comprehensively explain the relationship between psychological capital (PsyCap), EIM, and employee innovation performance (EIP). Results. Among the KBWs of Shihezi enterprises surveyed, the proportion of male and female employees is basically balanced, and both groups have bachelor’s degrees or above. They are mostly young, with a relatively short working year. Most employees are in the rising stage of career development. The overall scores of KBWs on the PsyCap, EWM, and EIP scales are all above 3.5, a high overall score. Model analysis and hypothesis verification show that Shihezi knowledge‐based EIM significantly affects EIP and PsyCap. The PsyCap has a positive impact on EIP. The KBWs’ PsyCap plays an intermediary role in EIP. Conclusion. The research results provide an objective reference for Shihezi enterprises to improve the innovation performance of KBWs. It enriches the theoretical research of Shihezi enterprise innovation and provides a theoretical basis to improve collaborative innovation performance.
Distribution of Pupil Size and Associated Factors: Results from the Population-Based Gutenberg Health Study
Authors: Kiel Marian , Grabitz Stephanie D. , Hopf Susanne , Koeck Thomas , Wild Philipp S. , Schmidtmann Irene , Lackner Karl J. , Münzel Thomas , Beutel Manfred E. , Pfeiffer Norbert , Schuster Alexander K.
Published: September 2022

Background/Objectives. The pupil regulates the incoming light to reduce glare and to achieve sufficient depth of field. Few is known on the distribution of pupil size and associated conditions in the general population. Therefore, for the first time in a large population-based study, we assess the distribution of physiologic pupil size and identify associated factors. Subjects/Methods. The Gutenberg Health Study (GHS) is a prospective cohort study established at the University Medical Center Mainz, Germany. As part of the 5-year follow-up (2012–2017), 9,559 of 12,432 participants had a valid pupil size measurement. Optical biometry (Lenstar LS900, Haag-Streit, Koeniz, Switzerland) including measurements of physical pupil diameter, central corneal thickness, corneal curvature, anterior chamber depth, and axial length was performed under mesopic light conditions. The associations of ocular geometry, the participants’ demographics, and their history of systemic diseases and medication intake with physical pupil size were assessed using multivariable linear regression models. Results. 18,335 eyes of 9,559 participants aged 40 to 80 years were included in the analysis. Median pupil diameter was 4.19 mm in right eyes and 4.12 mm in left eyes. A smaller pupil was associated with older age, hyperopic refractive error, previous cataract surgery, diabetes, obesity, and ACE inhibitor intake, whereas wider pupil was associated with female gender, arterial hypertension, intake of tricyclic antidepressants, and intake of SNRI and tetracyclic antidepressants. Socioeconomic status and smoking were not associated with pupil size. Conclusion. Individuals of older age, after cataract surgery, under therapy with ACE inhibitors and with diabetes have a smaller pupil. This should be taken into account when planning nonmydriatic fundus photography-based screening programs, for instance, for diabetic retinopathy.
Big Data Sharing Model and Key Mechanism of International Trade Based on Blockchain
Authors: Lian Guohua
Published: September 2022

COVID-19 has made the world realize that the world is a whole, and international trade is the main way to connect countries. With the increase of international trade, the trade data has also become gradually huge. However, the current international trade data is still transmitted using the traditional Internet, which not only is inefficient, but also has poor security. Therefore, this paper aimed to use blockchain technology to explore the big data sharing model and key mechanism of international trade. This paper mainly introduced the design and implementation of a blockchain-based IoT data security sharing system. Firstly, the functional architecture of the prototype system was comprehensively introduced. According to the division of different functional modules, the data interaction design of different modules and the design of related smart contracts were expounded. According to the characteristics of international trade big data, the encryption and decryption algorithms are designed for the transmission of international trade big data. Finally, the prototype system was introduced from data acquisition, experimental environment deployment, system-related functional verification, and performance testing. The experimental test results showed that the encryption and decryption of transaction data by the data security sharing prototype system were more than 2 times faster than those of the traditional algorithm, and the transmission efficiency of the system at different nodes fluctuated within 10%, which showed that the system could perform security interactive sharing of data.
Laboratory Study on the Water-Heat Behavior and Freeze-Thaw Deformation of a Composite Embankment considering Rainfall in Seasonally Frozen Regions
Authors: Gao Jianqiang , Jiang Dongge , Du Wenrui
Published: September 2022

Based on the similarity theory, a laboratory experiment considering the influence of rainfall was performed to study the water-heat behavior and freeze-thaw deformation between the normal embankment and the composite embankment, consisting of permeable geotextile, crushed-rock interlayer, and waterproof geomembrane. The results showed that due to the existence of crushed-rock interlayer, the effective frozen depth of the composite embankment was smaller than that of the normal embankment. In the rainfall period, because of the drainage function of permeable geotextile and a crushed-rock layer, the water content of soil upon the crushed-rock of the composite embankment was lower than that of the normal embankment. Meanwhile, the waterproof geotextile blocks the upward migration of water in the deep soil, which only changes under the freeze-thaw cycles. Therefore, compared with the normal embankment, the composite embankment can reduce the frost heave and uneven deformation of the embankment under the condition of rainfall infiltration, effectively avoiding the formation of longitudinal cracks of the embankment.
Leukotriene Receptor Antagonist Therapy for the Chemoprevention of Human Rectal Aberrant Crypt Foci: Nonrandomized, Open-Label, Controlled Trial
Authors: Higurashi Takuma , Ashikari Keiichi , Tamura Shigeki , Saigusa Yusuke , Takatsu Tomohiro , Misawa Noboru , Yoshihara Tsutomu , Matsuura Tetsuya , Fuyuki Akiko , Ohkubo Hidenori , Kessoku Takaomi , Hosono Kunihiro , Yoneda Masato , Nakajima Atsushi
Published: September 2022

Leukotriene receptor antagonists (LTRA) are widely used drugs for treating allergic asthma, and they have recently been suggested to have a suppressive effect on carcinogenesis and cancer cell proliferation. Aberrant crypt foci (ACF) are considered a reliable surrogate biomarker of colorectal cancer. This prospective study explored the chemopreventive effect of an LTRA on colonic ACF formation and the safety of the medicine in patients as a pilot trial leading to a colorectal cancer chemoprevention trial.

This was a nonrandomized, open-label, controlled trial in patients with colorectal ACFs. The participants were allocated to LTRA or observation groups. Patients in the LTRA group received 10 mg of montelukast orally daily for 8 weeks. After the intervention, colonoscopy was performed to evaluate the changes in the number of ACFs.

From November 2017 to March 2020, 40 patients were enrolled. The first 30 were assigned to the LTRA group, and the remaining 10 were assigned to the observation group. In the LTRA group, the mean change in the number of ACFs per patient at 8 weeks from baseline was −2.4 ± 2.2, while the mean change in the observation group was 0.4 ± 2.3 (P = 0.002). There were no severe adverse events.

This is the first study to explore the effect of LTRAs against colorectal ACF formation in humans. LTRAs are potential candidates for chemoprevention in colorectal cancer.

Prevention Relevance:

We conducted the first LTRA chemoprevention trial for human rectal ACFs, which is considered a surrogate marker of colorectal carcinogenesis. 8-week treatment with LTRA suppressed ACF formation and cell proliferation in colonic epithelium. LTRAs are possible candidates for chemoprevention in colorectal cancer.

See related Spotlight, p. 637
Under-Representation of Racial Groups in Genomics Studies of Gastroenteropancreatic Neuroendocrine Neoplasms
Authors: Herring Brendon R. , Bonner Andrew , Guenter Rachael E. , Vickers Selwyn , Yates Clayton , Lee Goo , Dhall Deepti , Chen Herbert , Rose J. Bart
Published: September 2022

Not all populations are poised to benefit from advancing genomics in gastroenteropancreatic neuroendocrine neoplasms (GEP-NEN), as genomics have focused on White patients. This study aimed to evaluate racial populations represented in genomic studies of GEP-NENs and to provide evidence of differential genomic findings between racial groups in GEP-NENs. Manuscripts analyzing DNA, RNA, or DNA methylation in GEP-NENs were queried using PUBMED and EMBASE. NIH race/ethnicity term frequency was then determined by Natural Language Processing, followed by manual evaluation of tumor types and subjects by racial group. IHC of institutional tissue micro-arrays and analysis of AACR GENIE data analyzed was performed to determine mutational differences between Black and White pancreatic NEN (pNEN) patients. 313 manuscripts conducted the requisite genomic analyses, 16 of which included subject race data. Race data were included in 13/184 DNA, 4/107 RNA, and 1/54 DNA Methylation analyses. These studies included 89% White subjects (n = 2032), 5.8% Asian subjects (n = 132), 4.0% “Other” subjects (n = 93), and 1.2% Black subjects (n = 27). No Native American/Alaska Native, Native Hawaiian/Pacific Islander, or ethnically Hispanic/Latinx subjects were represented. There were significant differences in MEN1 mutations among Black and White patients in immunohistochemical (13:40) and GENIE data (24:268 patients per group, respectively), with 9 additional genes differentially mutated in the GENIE dataset. Genomic sequencing data for GEP-NENs is almost racially homogenous. Differences in pNEN genomics may exist between racial groups, highlighting a need for diversity in future genomic analyses of GEP-NENs to understand the putative influence of interracial genomic variation on GEP-NEN prevention, diagnosis, and therapy.

Significance:

There is little diversity in genomic studies of GEP-NENs, which may exhibit clinically impactful variation in their tumor biology among racial groups. Improved diversity in such studies is imperative for understanding this variation and its potential impacts on disease prevention, diagnosis, therapeutic targeting, and clinical outcomes.