bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on the Reform and Development of Modern Physical Education Teaching Based on 5G Internet Communication Technology
Authors: Du Shaohui , Han Ning , Yi Feng
Published: May 2022

Physical education (PE) is, in general, one of the most important skills developed for human healthiness. Many barriers exist in society to improve the performance in Chinese physical activities. Furthermore, the incorporation of 5G communication network technology is becoming a trend in the increase of physical activity in China on a daily basis. Physical exercise may assist Chinese people to enhance their mental abilities, self-concept, and goal orientation and avoid mental illnesses such as sadness and anxiety. Physical exercise without education is like having a body but no soul. There is no doubt about the value of physical education and other types of exercise in the educational system. In this paper, we propose refined physical education teaching based on 5G network technology to obtain everlasting data without termination. First, we preprocess the sports dataset using a stacked denoising autoencoder (SDAE), and a Gaussian Mixture Model (GMM) is utilized for the feature extraction process. A random forest approach (RFA) is then used in the selection of the features. Furthermore, we adopted a CNN-based upgraded classifier for classification and efficient data allocation (EDA) algorithm for storing data generated by the 5G network. Experimental results reveal that our proposed method outperforms the baseline methods by a huge margin.
A Big Data Integration Platform for Ideological and Political Education for Smart Campuses
Authors: Xu Dazhi , Gao Yan , Tu Tianyi , Xiao Xiaoyong
Published: May 2022

The advent of large data and the era of large data has brought significant impact and changes to human production and life. Through the acquisition, analysis, processing, prediction, and dissemination of big data in scientific research, large data has emerged as the source of advanced technological to generate global quantitative data. It not only reveals the gaps and deficiencies of traditional approaches to ideological and mechanical studies methods in obtaining ideological behavior but also information about academic subjects providing support for optimizing and innovative technology and ideological transformation and then conducting intellectual and practical research in colleges and universities. In the age of large digital data, the ideology and politics of education are facing modern domestic and foreign situations, as well as new characteristics and new needs for ideology and politics study. This makes ideology and politics research methods even more important, which is seen as an opportunity for continuous creation and innovation and also adapts to the requirements of the times and reality. Smart campus refers to an intelligent integrated environment for campus work, study, and life based on the Internet of Things. This integrated environment takes various application service systems as the carrier and fully integrates teaching, scientific research, management, and campus life. From the large-scale data era, the educational theory of whether colleges and universities’ ideological and political research is rich or not supports more scientific theories to carry out psychological and mechanical research. It is evident that in the age of large data, the ideological and political research in colleges and institutes is not only a theoretical issue but also an important practical issue. Therefore, conducting ideological and political research in colleges and institutes in the age of large data has profound theoretical significance and great practical significance.
Correlation Analysis of Vaspin Gene Polymorphisms and Polycystic Ovary Syndrome Based on Intelligent Medicine
Authors: Tang Yingjie , Huang Ting , Pan Yingzheng
Published: May 2022

Polycystic ovary syndrome (PCOS) is now a common gynecological endocrine disease, also known as Stein–Leventhal syndrome. Studies have found that Vaspin gene polymorphism is significantly associated with diabetes and cardiovascular disease, and PCOS has a clear glucose metabolism abnormality. So far, because the cause of PCOS is not clear, many problems such as the etiology, diagnostic criteria, prevention, and treatment of PCOS remain unsolved. Which also makes PCOS attract the attention of academic circles. Therefore, it is urgent to clarify the pathogenesis of PCOS, in order to explore the clinical correlation between the polymorphism of the Vaspin gene and polycystic ovary syndrome. This article introduces the correlation analysis study of Vaspin gene polymorphisms and polycystic ovary syndrome based on intelligent medicine. This article first selected 40 patients with PCOS as the experimental group and then selected 40 patients without PCOS as the control group. Secondly, through the detection methods of hs-CRP level detection and oil red O fat staining and passed two sets of control experiments. Finally, intelligent medical data analysis was used to analyze the location of the Vaspin gene in the experimental group and the control group. The final result showed that the correlation reached 75%.
Optimizing the Extraction Conditions of Hydroxytyrosol from Olive Leaves Using a Modified Spherical Activated Carbon: A New Experimental Design
Authors: Hadrich Fatma , Geißen Sven-Uwe , Chamkha Mohamed , Sayadi Sami
Published: May 2022

The purification of hydroxytyrosol from olive leaves extract by modified activated carbon was studied experimentally in a batch system and a column by adsorption and desorption processes. The extraction yield reached 90% of hydroxytyrosol, which is the major compound found in the extract. Despite the abundance of research on extracts of hydroxytyrosol from olive leaves, it seems that the applied methods can be further improved. In this study, several approaches were applied to optimize the extraction conditions of this molecule. Hence, the response surface method and the Box‐Behnken design (BBD) were used to evaluate the effect of the temperature, time, and adsorbent dose on the hydroxytyrosol recovery. Moreover, adsorption isotherm, kinetics, and thermodynamic studies were also performed to clarify the nature of the process. The main finding was the obtainment of a maximum adsorption yield of 97.5% at an adsorbent/adsorbate ratio of 1 : 20, after a 6 h cycle and at a temperature of 30°C. Furthermore, adsorption process seemed to fit best with Freundlich model. In addition, the thermodynamic study describes a spontaneous and endothermic process. Desorption assay using ethanol helped to recover 73% of hydroxytyrosol. Furthermore, the HPLC analysis of fractions after column adsorption showed a simple peak of hydroxytyrosol with purity higher than 97% and a flavonoids‐rich fraction. These findings would indicate that this separation method for the recovery of phenolic compounds with high antioxidant activity can be a very promising one.
[Retracted] Clinical Study on the Differential Diagnosis of High Myopia Astigmatism and Subclinical Keratoconus in Adolescents by Pentacam Anterior Segment Analyzer
Authors: Ruan Yimeng , Zhang Ying , Ying Xiaohong
Published: May 2022

To explore the clinical value of Pentacam anterior segment analyzer in differential diagnosis of high myopia astigmatism and subclinical keratoconus in adolescents. The study included 100 teenagers with ophthalmic diseases treated at our hospital between July 2015 and August 2021, including 58 individuals with simple high myopia astigmatism (73 eyes in the simple high myopia astigmatism group) and 42 teenagers with subclinical keratoconus (51 eyes in the subclinical keratoconus group). The corneal parameters of the two groups were measured with a Pentacam anterior segment analyzer, and we compared the thinnest corneal thickness, anterior (posterior) vertex height of the thinnest point of the cornea, index of vertical asymmetry (IVA), index of height descent (IHD), and the average corneal pachymetric progression index. The receiver operating characteristic curve (ROC) was drawn to evaluate the value of various parameters and combined diagnostic factor Y in the differential diagnosis of high myopia astigmatism and subclinical keratoconus. The thinnest region of the cornea in the subclinical keratoconus group was less than that in the simple high myopia astigmatism group, while the anterior (posterior) vertex height of the thinnest point of the cornea, index of vertical asymmetry (IVA), index of height decentration (IHD), and average corneal pachymetric progression index were higher than those in the simple high myopia astigmatism group (P < 0.05). For the differential diagnosis of high myopia astigmatism and subclinical keratoconus, the combined diagnostic factor Y, anterior (posterior) vertex height, IVA, IHD, and mean corneal progression index were 0.808, 0.833, 0.868, 0.847, 0.684, and 0.926 (P < 0.05). The AUC of the combined diagnostic factory was the largest, which was significantly different from that of the anterior vertex height of the thinnest point of the cornea (Z = 3.280), the posterior vertex height of the thinnest point of the cornea (Z = 3.205), IVA (Z = 2.764), IHD (Z = 2.237), and the average corneal progression index (Z = 4.125) (P < 0.05). Using the Pentacam anterior segment analyzer, differential diagnoses can be made for high myopia, astigmatism, and subclinical keratoconus.
[Retracted] Electrospinning of Nanofiber‐Based Materials and Application of the Technology to Lower Extremity Joint Exercise Rehabilitation
Authors: Ma Jingmiao , Baek Seung-Soo
Published: May 2022

This study mainly explores the electrospinning of nanofiber‐based materials and the application of the technology to lower extremity joint exercise rehabilitation. In response to people’s concerns, this study mainly discusses electrospinning technology from the aspects of the safety of nanomaterials prepared by electrospinning technology and the application of nanomaterials prepared by electrospinning technology in lower limb joints. In the safety study of nanomaterials, six groups of experiments were set up to measure the joints of nanomaterials prepared by electrospinning technology under pressures of 500 N, 510 N, 520 N, 530 N, 540 N, and 550 N. For compression resistance, when the pressure is 540 N, the compressive performance of the nanomaterial is preferably 96%. In terms of the application of nanomaterials, 100 patients with lower extremity sprains in the Affiliated Hospital of Sun Yat‐sen University were divided into 5 groups and then divided into 6 groups. Patient recovery rate when the device is applied to the patient’s lower extremity joint. Patients had the best recovery rate of 92% when the immobilization device was used for 6 days. The use of arthrodesis did not affect the patient’s other factors. The experimental results show that when the pressure is 540 N and the fixation device is used for 6 days, the nanofiber material prepared by electrospinning technology has the best rehabilitation effect on lower limb joint movement.
Design and Application of Major Sports Events Management Information System Based on Integration Algorithm
Authors: Wen Yang , Wang Feng
Published: May 2022

With the rapid development of social economy and the change of ideology, people are increasingly enthusiastic about participating in sports events. How to make better use of the existing massive network data of sports events to solve the overload of information circulation of sports events has become a potential application problem to promote the development of sports information digitalization. Based on this problem orientation, this paper chooses to study the common characteristics of the current Internet data of sports events and the corresponding and applicable event recommendation technology and constructs feasible event recommendation model as the main direction of solution. The competition information system is the core technology system of the games and the central nervous system of the games. By summing up the previous high-level comprehensive games, the competition information system should serve the competition, command, media, and the public. The smooth construction and stable operation of the perfect design of the competition information system will reflect the organization level of the games and guarantee the success of the games. At the same time, it has certain guiding significance for the design of the competition information system of the large-scale comprehensive games in China in the future.
Analysis of the Clinical Significance and Safety of Interferon in the Treatment of Chronic Myeloproliferative Tumors
Authors: Yin Fenglei , Yin Juan , Xu Weixing , Li Shuchen , Zhang Wei , Wang Juan
Published: May 2022

Objective. To investigate the clinical significance and safety of interferon in the treatment of chronic myeloproliferative tumors (MPN). Methods. In this prospective study, a total of 120 patients with advanced chronic MPN admitted to our hospital between April 2016 and August 2020 were assessed for eligibility and recruited, including 62 patients with JAK2V617F mutation-positive ET (ET group) and 58 patients with JAK2V617F mutation-positive PV (PV group). 62 patients with JAK2V617F mutation-positive ET were assigned (1 : 1) to receive interferon-α (IFN-α) or hydroxyurea (HU). A similar subgrouping method for treatment of IFN-α and HU was introduced to patients with JAK2V617F mutation-positive PV. Outcome measures included efficacy and adverse reactions. Results. For patients with JAK2V617F mutation-positive ET and PV, there were no significant differences in the overall response rate between the groups treated with IFN-α or HU (

P
>
0.05

); however, the patients treated with IFN-α had a significantly higher 5-year progression-free survival (PFS) than those treated with HU (

P
<
0.05

). IFN-α was associated with a significantly lower incidence of disease progression, thrombotic events, splenomegaly, myelofibrosis, nausea, and vomiting and a higher incidence of hematological adverse reactions and flu-like symptoms versus HU (

P
<
0.05

). After six months of treatment, the PV group had 12 cases of hematological response both in the IFN-α subgroup and the HU subgroup and fewer PV patients treated with IFN-α required phlebotomy versus those treated with HU (

P
<
0.05

), in which 4 patients in the IFN-α subgroup had no hematological response and 6 patients in the HU subgroup had no hematological response. There was no significant difference in the number of cases with phlebotomy between the two subgroups of PV patients without hematological response (

P
>
0.05

). Conclusion. The use of IFN in the treatment of JAK2V617F mutation-positive ET and PV patients yields a prominent clinical effect by prolonging PFS and avoiding phlebotomy for JAK2V617F mutation-positive PV patients.
A Novel Pyroptosis-Associated Gene Signature to Predict Prognosis in Patients with Colorectal Cancer
Authors: Dai Juji , Chen Shuangdong , Bai Yongyu , Fu Yangyang , Pan Yifei , Ye Lechi
Published: May 2022

Background. Pyroptosis is a form of cell death characterized by cell swelling and plasma membrane bubbling in association with inflammatory and immune responses. To date, the association between pyroptosis and colorectal cancer remains unclear. We aimed to establish a novel pyroptosis-associated model for the prognosis of colorectal cancer. Methods. Pyroptosis-related genes were extracted using Gene Set Enrichment Analysis. A least absolute shrinkage and selection operator regression model was constructed to identify a pyroptosis-related gene signature using the Cancer Genome Atlas and Gene Expression Omnibus databases. Then, Kyoto Encyclopedia of Genes and Genomes and Gene Ontology and GSEA were performed to better understand the potential mechanisms and the functional pathways associated with pyroptosis involved in colorectal cancer. The relationship between the pyroptosis-related signature and immune infiltration was investigated using Cell-Type Identification by Estimating Relative Subsets of RNA Transcripts and MCPcounter. Results. A 12 pyroptosis-related gene signature was identified. Then, patients were classified into high- and low-risk groups. Kaplan–Meier and receiver operating characteristic analyses confirmed that the high-risk groups showed worse overall survival, progression-free survival, or relapse-free survival probability. Functional enrichment analysis showed that pyroptosis was associated with extracellular matrix-related pathways. Furthermore, the pyroptosis risk score was associated with immune infiltration. The low-risk group exhibited a higher percentage of plasma cells, CD4 T cells, activated dendritic cells, and activated mast cells. M2 macrophages and M0 macrophages were positively related to the risk score. Conclusion. Our research yielded a novel pyroptosis-related prognostic signature for colorectal cancer that was related to immune cell infiltration, and it provided an immunological perspective for developing personalized therapies.
Hospital-Acquired Acute Kidney Injury in Noncritical Care Setting: Clinical Characteristics and Outcomes
Authors: Tso Maggie , Sud Kamal , Van Connie , Patekar Abhijit , Tesfaye Wubshet , Castelino Ronald L.
Published: May 2022

Background. There is limited Australian data on the incidence and outcomes of hospital-acquired acute kidney injury (HA-AKI) in noncritically ill patients. Aims. This study aimed to characterise HA-AKI and assess the impact of nephrology consultations on outcomes. Methods. A retrospective cohort of all noncritically ill patients with HA-AKI admitted to a large tertiary hospital in 2018 were followed up from hospital admission to discharge. HA-AKI was defined using the Kidney Disease Improving Global Outcomes (KDIGO) criteria. The primary outcome of this study was the clinical characteristics of patients who developed HA-AKI and the difference in these characteristics by nephrology consultation. Results. A total of 222 noncritically ill patients were included in the study. The mean age of included patients was 74.8 ± 15.8 years and 57.2% were females. While most patients (92%)were characterised to have KDIGO stage 1, 14% received a nephrology consultation, and 80% had complete or partial recovery of kidney function at discharge. Lower recovery rates (65% versus 83%,

P
=
0.022

), longer hospitalisations (10 versus 5 days,

P
=
0.001

), and higher serum creatinine values on discharge (152 versus 101 μmol/L,

P
<
0.001

) were associated with receipt of nephrology consultation. There was no difference in mortality rates (13% versus 11%, P = 0.754) between those with and without nephrology consultation. Conclusions. Our findings indicate that signficant proportion of noncritically ill patients experience mild form of AKI and have good recovery of kidney function during hospitalisation. Although severity of AKI and length of hospitalisation were associated with nephrology interventions, large scale study is required to understand the impact of such interventions on clinical outcomes, such as hospital readmission and mortality.
Effect of Clay Mineral Content and Confining Pressure on Energy Dissipation Characteristics of Basalt with Different Overburden Depths
Authors: Chen Yan , Zhou Lei , Wang Gaofei , Bai Erhu , Guo Baohua
Published: May 2022

With the deepening of coal mining in China, dynamic disasters occur with the release of energy. In this study, in order to study the difference between shallow rock and deep rock, conventional triaxial compression tests were carried out on basalts with different overburden depths. The mechanical properties and energy evolution characteristics of basalts with different overburden depths were analyzed. The results show that the strength parameters increase with increasing depths, while the deformation parameters exhibit the opposite phenomenon. The strength and peak strain of basalt with the same depth increase with increasing confining pressure. However, the elastic modulus almost remains unchanged. The prepeak total input energy and dissipation energy decrease with increasing depths, and total elastic energy increases with increasing depths which indicates that the deep rock releases more energy than shallow rock when failure occurs. The input energy, elastic energy, and dissipation energy increase with increasing confining pressure. However, elastic energy ratio decreases with increasing confining pressure. The strength parameters and elastic energy increase with increasing density and deformation parameter, while the dissipation energy decreases. This phenomenon has the opposite law when clay mineral content is increased. The conclusions of this study may provide theoretical reference to dynamic disasters induced by energy in deep coal mines.
Green City Landscape Design and Planning Based on GIS and Analytic Hierarchy Process Model
Authors: Liu Daochun , Tang Mingming , Dong Nan
Published: May 2022

The spiritual connotation of contemporary cities has gradually become rich and colorful, and the concept of a green city has also been accepted by the public. People living in cities have higher and higher requirements for landscape, but traditional landscape design cannot achieve efficient and accurate planning. Therefore, the old design method, which cannot meet the complex and changeable urban needs and cannot keep up with the development and changes of the times, is doomed to be eliminated and replaced. This study introduces a GIS system and uses an AHP method to assist landscape design. Through rational resource utilization of topography, vegetation growth, population density, and other conditions, the city can be green and environmentally friendly, reduce energy consumption, and meet people's concept of healthy life. The experimental results show that: (1) through the GIS system, a multidecision model is constructed to choose a reasonable location for the garden. Based on the opinions and scores of all parties, the B place with a score as high as 8.97 was selected. (2) Using comprehensive landscape sensitivity to divide four levels of landscape land-use value and looking for the best landscape vision, it is divided into five scenic functional areas and 12 scenic spots. SPEI and NDVI were used to select cultivated plants and landscapes. (3) Route multifactor comprehensive model is designed to plan garden route. The coincidence degree between the model and the actual road condition is about 87.62%. Citizen satisfaction is between 7 and 9 points, and the comprehensive evaluation is high. (4) The evaluation system of landscape architecture, in which both B-level index and C-level index are higher than 7 points is constructed, which is in line with the expectations of the public and experts and convenient for feedback correction. The method based on this study is feasible and can be further optimized.
Optimization of Solar Panel Deployment Using Machine Learning
Authors: Kamal Shoaib , Ramapraba P. S. , Kumar Avinash , Saha Bikash Chandra , Lakshminarayana M. , Sanal Kumar S. , Gopalan Anitha , Erko Kuma Gowwomsa
Published: May 2022

In this work, we proposed a mechanism for topology reconfiguration or optimization of photovoltaic (PV) arrays using machine learning-assisted techniques. The study takes into concern several topologies that includes series parallel topology, parallel topology, bridge link topology, honeycomb topology, and total cross tied. The artificial neural network-based topology reconfiguration strategy allows for optimal working conditions for PV arrays. With this, machine learning-assisted topology reconfiguration or optimal solar panel deployment enables the proposed mechanism to achieve higher degree of testing accuracy precision, recall, and f-measure under standard ideal condition.
Investigating the Molecular Mechanism of Quercetin Protecting against Podocyte Injury to Attenuate Diabetic Nephropathy through Network Pharmacology, MicroarrayData Analysis, and Molecular Docking
Authors: Ma Xiaoqin , Hao Chenxia , Yu Meixiang , Zhang Zhaokang , Huang Jingjing , Yang Wanhua
Published: May 2022

Quercetin (QUE), a health supplement, can improve renal function in diabetic nephropathy (DN) rats by ameliorating podocyte injury. Its clinical trial for renal insufficiency in advanced diabetes (NCT02848131) is currently underway. This study aimed to investigate the mechanism of QUE protecting against podocyte injury to attenuate DN through network pharmacology, microarray data analysis, and molecular docking. QUE-associated targets, genes related to both DN, and podocyte injury were obtained from different comprehensive databases and were intersected and analyzed to obtain mapping targets. Candidate targets were identified by constructing network of protein-protein interaction (PPI) of mapping targets and ranked to obtain key targets. The major pathways were obtained from Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) term enrichment analysis of candidate targets via ClueGO plug-in and R project software, respectively. Potential receptor-ligand interactions between QUE and key targets were evaluated via Autodocktools-1.5.6. 41. Candidate targets, of which three key targets (TNF, VEGFA, and AKT1), and the major AGE-RAGE signaling pathway in diabetic complications were ascertained and associated with QUE against podocyte injury in DN. Molecular docking models showed that QUE could closely bind to the key targets. This study revealed that QUE could protect against podocyte injury in DN through the following mechanisms: downregulating inflammatory cytokine of TNF, reducing VEGF-induced vascular permeability, inhibiting apoptosis by stimulating AKT1 phosphorylation, and suppressing the AGE-induced oxidative stress via the AGE-RAGE signaling pathway.
Theoretical and Experimental Study of the Torque Impact and Shaft Response during the Rapid Engaging Process of a Gas Turbine
Authors: Chen Hao , Zhou Rui-ping , Lei Jun-song , Jiang Hong-yan , Ye Jun
Published: May 2022

Gas turbines produce torque impacts during the rapid engaging process, which could obviously affect the safety of the propulsion shafting. To analyze the impact load and the corresponding response of a shaft, a calculation method is proposed for the torque impact load, based on a propulsion shafting model and the motion characteristics of a synchro-self-shifting (SSS) clutch. In addition, the time-domain integration method was used to analyze the shaft response under an impact load. Finally, the engaging process was reproduced in an experimental plant, and the proposed method was verified with measured transient torque responses. The results show that an obvious torque impact is produced in the shafting under the action of the damping force when the SSS clutch meshes during the engaging process, with the torque response amplitude fluctuating within a certain range. Adjusting the engaging parameters of the working engine and the engaging engine can reduce the amplitude of the shaft response.
The Effect of Key Indicators on the Operation Costs for Public Toll Roads
Authors: Shang Bin , Li Huibing , Pan Hanchuan
Published: May 2022

At the end of the build-operate-transfer road concession period, an optimal model for the operation of public toll roads is created based on user heterogeneity regarding the values of time for different road users. The impact of user heterogeneity on operation costs for government and private firms is subsequently analyzed on the following critical variables: user values of time, road volume/capacity ratio, and road capacity. Concerning the values of time for different road users, the mean residual and failure functions are established to describe three optimization hypotheses: maximization of social welfare with operation by the government, two extreme cases with operation by a private firm, and a Pareto-optimal solution with operation by a private firm. It is concluded that the mean residual values of the time function are a linear function of the user values of time under a Pareto-optimal operation by the government. It is also determined that private profit is related to the demand-related operational cost of the government and private firm under a Pareto-optimal operation by a private firm. These conclusions suggest relevant recommendations for the government on policymaking for the operation of public toll roads.
Prediction of Building Energy Consumption Based on BP Neural Network
Authors: Sun Hailing
Published: May 2022

In order to solve the energy consumption hypothesis of large buildings, the energy consumption hypothesis based on the BP neural network is proposed. First, to study the system of statistical index of building energy consumption and the system of statistical reporting of energy consumption of civil construction. In addition, to establish reliable consumer authority control to ensure the security and management of the database. Second, based on an analysis of the mechanism by which the BP neural network operates, this article optimizes it and describes the structure of the neural network, which includes the number of network layers, the number of neurons in each layer, and the number of latent neuron layers. hidden neuron layers and hidden neurons. The maximum value method is used to normalize the input sample data; finally, the learning and training process of neural network is determined. Based on BP neural network theory, the energy consumption statistics platform and prediction system are established by using Delphi 6.0. These include functional modules such as basic building information management, building energy consumption information management, building energy consumption summary, energy presampling information management, and building energy consumption forecast; the collection of building energy consumption data is mainly completed by intelligent energy consumption monitoring sensor network system. Finally, the city’s building energy consumption information system conducts construction energy audits and analyzes the potential for energy savings. The results show that the hypothesis model determined by the BP neural network algorithm has an average error of 10.6% in predicting the construction energy consumption data, which is better than Matlab’s predicted result and the mean error is 12.6%. From this, it can be seen that the BP neural network algorithm can provide better predictions of building energy consumption.
Automatic Capture Processing Method of Basketball Shooting Trajectory Based on Background Elimination Technology
Authors: Fan Hongyan , Hu Youhong , Zhang Jianfeng
Published: May 2022

The analysis and prediction of the shooting trajectory can be used to partially correct the shooting. The traditional automatic basketball shooting trajectory capture algorithm has a low capture accuracy and a long capture time, and thus is incapable of displaying the shooting trajectory in real time. To address this issue, this study proposes an automatic basketball shooting trajectory capture algorithm based on background elimination. The image of the basketball shooting trajectory is captured using imaging technology; the image is then preprocessed in four steps: binary erosion, binary expansion, closing operation, and opening operation to create a smooth image. After removing the background from the preprocessed image using the background difference method, the edge contour features are extracted, the candidate target area is set based on the extraction result, and a diagonal matrix reflecting the length and width of the trajectory target is introduced to calculate the probability of the color of the area in the shooting trajectory, thereby characterizing the trajectory. The target’s size changes in two directions to capture the basketball shooting trajectory automatically. The algorithm’s simulation results indicate that it has a higher accuracy and a shorter capture time.
Finite Element Analysis of Cornea and Lid Wiper during Blink, with and without Contact Lens
Authors: Ramasubramanian Vivek Suganthan , Meenatchi Sundaram S. , Thomas Rinu , Ramesh S. Ve. , Raghuvir Pai B. , Hazarika Manali , Abdul Khader Shah Mohammed , Poojary Rakshath G. , Girish H. , Crasto Vernon Seth
Published: May 2022

Ocular surface disorders such as Lid Wiper Epitheliopathy (LWE), Superior Epithelial Arcuate Lesion (SEAL), and contact lens-induced Limbal Stem Cell Deficiency (LSCD) as well as Superior Limbic Keratoconjunctivitis (SLK) affect one’s quality of life. Hence, it is imperative to investigate the underlying causes of these ocular surface disorders. During blink, the undersurface of the eyelid tends to interact with the cornea and the conjunctiva. The presence of a contact lens can add to the biomechanical frictional changes on these surfaces. To estimate these changes with and without a contact lens, a finite element model (FEM) of the eyelid wiper, eyeball, and contact lens was developed using COMSOL Multiphysics. Biomechanical properties such as von Mises stress (VMS) and displacement were calculated. Our study concluded that (a) maximum VMS was observed in the lid wiper in the absence of contact lens in the eye and (b) maximum VMS was observed in the superior 1.3 mm of the cornea in the presence of the contact lens in the eye. Thus, the development of friction-induced ocular surface disorders such as LWE, SLK, SEAL, and LSCD could be attributed to increased VMS. FEA is a useful simulation tool that helps us to understand the effect of blink on a normal eye with and without CL.
Performance Evaluation of Lablab Genotypes across Various Locations of Ethiopia
Authors: Aleme Melkam
Published: May 2022

This study was conducted evaluate the performance of Lablab genotypes across various locations of Ethiopia. Twelve accessions of L. purpureus obtained from ILRI Genebank and a check registered variety from Bako Agricultural Research Center were sown under a 3 × 13 factorial experiment in a randomized complete block design (RCBD) during the rainy season in 2020, across three locations, namely Tepi, Bechi, and Kite sites of South West Ethiopia. The data were collected on the establishment, days to different physiological stages, forage yields, soil properties, and other related parameters. The data were subjected to analysis of variance using the general linear model of SAS and mean comparison via list significance difference test. A significant difference (

p
≤
0.01

) was observed across locations for most of the studied agronomic traits. The highest average dry matter (DM) forage yield recorded for T6 (accession 11613), T8 (acc. 10953), T5 (acc. 14417), and T4 (accession 11612) was 10.3, 8.7, 6.8, and 7.4 t/ha-1, respectively. Dry matter forage yield was positively associated and regressed with plant height and leaf-to-stem ratio. Lablab accessions are well adapted to the ecology tested. Lablab could also be produced in these locations without any remarkable disease problems. It is recommended that five top forage producing accessions be advanced for the next step of yield evaluation in standard multilocation. This leads to recommending best lablab accessions to be registered for the Tepi area and other similar agroecologies. Furthermore, recommended varieties should be evaluated through animal performance through feeding trials. Refining the main agronomic practice such as time of sowing, application of fertilizer, harvesting time, identifying best food crop-lablab integration methods, and feeding strategies is also vital to address in the future.
Influencing Factors and Improvement Path of Synergistic Value Creation Efficiency of Emerging Enterprises
Authors: Liu Mingzheng , Wang Guohong , Huang Hao
Published: May 2022

The cooperation between emerging enterprises and different enterprises can stimulate innovation enthusiasm and realize synergistic value creation. At present, there is no regular pattern and rules for synergistic value creation among emerging enterprises, which cannot achieve effective synergistic value creation. Based on the complex network relationship and dynamic model of game evolution among multiple entities of value creation within emerging enterprises, the factors that affect the efficiency of synergistic value creation in the aspect of input, benefit assignment, and interaction mechanism of synergistic value creation are analyzed and then the path of the promotion of synergistic value creation among the entities of new enterprises is studied. The results show that the core enterprises play a leading role in the cooperation input among emerging enterprises, and if the balance of interests among cooperative enterprises is guaranteed, the revenue effect is the best, and the network cooperation density is the strongest. The game evolution shows that, in order to improve the efficiency of synergistic value creation, it is necessary to improve the expected coefficient and number of synergies between enterprises and establish a mechanism for equitable distribution of synergies by strengthening information exchange among enterprises in emerging industries, so as to build an atmosphere of synergies, the complementarity of assets and synergies.
Hypoglycemic, Hypolipidemic, and Anti-Inflammatory Effects of Beta-Pinene in Diabetic Rats
Authors: Santos Enaide Soares , Abrantes Coelho Geraldo Lucas , Saraiva Fontes Loula Yan Kauê , Saraiva Landim Bárbara Lourenço , Fernandes Lima Cícera Norma , Tavares de Sousa Machado Sara , Pereira Lopes Maria Janice , Soares Gomes Acléssia Damiana , Martins da Costa José Galberto , Alencar de Menezes Irwin Rose , Coutinho Henrique Douglas Melo , Kim Bonglee , Bezerra Felipe Cícero Francisco , de Araújo Neves Samya , Kerntopf Marta Regina
Published: May 2022

Background. Diabetes is a metabolic disease linked to multiple comorbidities, such as low-grade inflammation. β-pinene, a monoterpene commonly found in aromatic plants, is endowed with anti-inflammatory effect and this fact lead us to investigate the possible hypoglycemic, hypolipidemic and anti-inflammatory effects of the monoterpene in the alloxan-induced diabetes experimental model. Methods. Male Wistar rats (200–250 g) were treated orally with β-pinene (25, 50, 100, and 200 mg/kg) or glibenclamide (5 mg/kg), for seven consecutive days. Diabetes was induced by alloxan (40 mg/kg) through the penile vein. On the seventh day of treatment, blood samples were collected for biochemical analysis. The anti-inflammatory effect of β-pinene was evaluated using the carrageenan-induced paw edema model, followed by the carrageenan-induced peritonitis. Results. The treatment with β-pinene decreased plasma glucose, triglyceride, VLDL, LDL, and HDL levels, when compared to those of the control group. In addition, the association β-pinene 10 mg/kg + glibenclamide 2 mg/kg significantly decreased blood glucose, total cholesterol, and triglyceride level. Finally, oral treatment with β-pinene reduced carrageenan-induced paw edema and leukocyte migration in the peritoneum. Taken together, our results indicate that β-pinene shows hypoglycemic and hypolipemic effects, which may involve some common mechanisms of glibenclamide. Besides, the monoterpene presented an anti-inflammatory action in diabetic rats that needs further investigation in order to clarify such effect and its correlation with the alterations observed in plasma parameters of β-pinene-treated diabetic rats.
An Implementation of the Generalized Differential Transform Scheme for Simulating Impulsive Fractional Differential Equations
Authors: Odibat Zaid , Erturk Vedat Suat , Kumar Pushpendra , Ben Makhlouf Abdellatif , Govindaraj V.
Published: May 2022

In this research study, the generalized differential transform scheme has been applied to simulate impulsive differential equations with the noninteger order. One specific tool of the implemented scheme is that it converts the problems into a recurrence equation that finally leads easily to the solution of the considered problem. The validity and reliability of this method have successfully been accomplished by applying it to simulate the solution of some equations. It is shown that the considered method is very suitable and efficient for solving classes of fractional-order initial value problems for impulsive differential equations and might find wide applications.
Full Endoscopic Surgery for Thoracic Pathology: Next Step after Mastering Lumbar and Cervical Endoscopic Spine Surgery?
Authors: Bae Junseok , Lee Sang-Ho , Wagner Ralf , Shen Jian , Telfeian Albert E.
Published: May 2022

Thoracic disc herniation and stenosis are relatively rare, and various symptoms make them difficult to diagnose. Due to the complexity of neural and vascular structure, surgical treatment of thoracic pathology is challenging. Endoscopic spine surgery is an emerging minimally invasive surgical option. Based on wide experience on the cervical and lumbar spine, an endoscopic approach for the thoracic pathology can be performed beyond the learning curve. Transforaminal approach for thoracic disc herniation, endoscopic unilateral approach, and bilateral decompression for thoracic stenosis have been reported as favorable and safe surgical options. In the present study, the authors described the detailed surgical procedure as well as tips and tricks.
Digital Hopf Spaces and Their Duals
Authors: Lee Dae-Woong
Published: May 2022

In this article, we study the fundamental notions of digital Hopf and co‐Hopf spaces based on pointed digital images. We show that a digital Hopf space, a digital associative Hopf space, a digital Hopf group, and a digital commutative Hopf space are unique up to digital homotopy type; that is, there is only one possible digital Hopf structure up to digital homotopy type on the underlying digital image. We also establish an equivalent condition for a digital image to be a digital Hopf space and investigate the difference between ordinary topological co‐Hopf spaces and their digital counterparts by showing that any digital co‐Hopf space is a digitally contractible space focusing on deep‐learning methods in imaging science.
[Retracted] GLP‐1 Analog Alleviated Cognitive Dysfunction in Aged Rats Anaesthetized with Sevoflurane
Authors: Zhang Qin , Jiang Yao , Zhang Yang , Zhang Jingling , Hu Ying
Published: May 2022

Postoperative cognitive dysfunction (POCD) in elderly patients undergoing general anesthesia is a major problem in the aging society. Sevoflurane is the most widely applied anesthetic in clinical practice. In this study, we investigated the effects of the GLP‐1 analogue liraglutide on cognitive function in aged rats anesthetized by sevoflurane. Specifically, 48 Sprague‐Dawley rats were divided into the control (C) group, the liraglutide (L) group, the sevoflurane (S) group, and the sevoflurane+liraglutide (SL) group, each group with 12 rats. In the S group and the SL group, the rats were injected subcutaneously with normal saline and liraglutide after inhalation of a mixture of 3% sevoflurane and pure oxygen. In the C group and the L group, normal saline and liraglutide were injected subcutaneously into the rats after inhalation of pure oxygen. Morris Water Maze Task was applied for the detection of spatial learning and memory in rats; HE and TUNEL for staining; and western blot for quantifying Bax, Bcl‐2 expression, and examining caspase‐3 activity in hippocampal tissues as well as for revealing the antiapoptotic mechanism. Besides, the accumulation of inflammatory factors NF‐κB and IL‐1β in the hippocampal tissue was quantitatively studied to reveal the anti‐inflammatory mechanism. The protective effect of liraglutide on sevoflurane toxicity was the first to be confirmed in this study. Additionally, this study elucidated the mechanism of the above effect. The results of this study might be helpful to find an effective medical solution for the treatment of POCD caused by sevoflurane anesthesia.
Evaluating College Students’ Comprehensive Quality by the AHP Algorithm
Authors: Xia Tian
Published: May 2022

For the full rank of appraisement, college students act a central party in the instructive fabric of colleges and universities. The common attribute teaching should settle the reciprocal expert valuation agreeing to the specifying goals of training. Establishing a practical and energetic system for appraising the extensive rank of college students is a topical valuable for investigation. This writing confers a mandate supported on Analytic Hierarchy Process (AHP) to exactly rank the compendious degree, college students, frame estimation indicators, calculative crushing, and generate rising wherefore to distinct mayor leagues. Taking the full attribute valuation of electronic computer greater combine, a college as a represent, the import and implementation of this precept are utter details. Through the analysis of the passable state of the thorough nature appraisement, college students, alluring Taiyuan University of Science and Technology as an instance, a large property valuation dummy was established with the assistance of analytic hierarchy outgrowth. A reasonable valuation of students foresees a notional base.
Tech Optimization in Cybersecurity Defenses by Advanced ML Methods: The Use Case of Volleyball Industry
Authors: Xiao Yuchun , Bi Zhuo , Chen Zhibin
Published: May 2022

Individual and team performance can be improved by utilizing “smart” devices and applications that are connected through networks. In sports, the Internet of Things (IoT) refers to all of the “smart” devices and applications linked through networks to reduce injuries to the bare minimum, develop advanced training techniques, and apply analytical advanced sports improvement methodologies to improve sports performance in general. The Internet of Things (IoT) in sports is closely related to the objective of both security and privacy in sports, which has become a topic of crucial concern for the sports business in recent years, as evidenced by the adoption of IoT in sports years. For this reason, security flaws can have catastrophic consequences, including the disclosure of personal data, the manipulation of statistical findings, the harming of organizations’ reputations, and enormous financial losses for the sporting organization. One or more of the consequences, as previously mentioned, is related to sports organizations and the athletes who are members of those organizations, and they have a direct impact on the corresponding set of sports-related, medical-related, and paramedical enterprises, specifically those that provide specialized sports equipment and associated services. A critical need to detect and quantify threats has long been recognized to better support decision-making when adopting or constructing a safe and reliable sports Internet-of-Things infrastructure, which is becoming increasingly common. Using advanced machine learning algorithms, this research provides a methodology for technology optimization in cybersecurity defenses that is then used in a unique case study utilizing volleyball players to demonstrate its effectiveness. In conjunction with a Monte Carlo optimization technique, an upgraded variant of fuzzy cognitive maps (FCM) is presented in greater detail. This model is utilized for a specific scenario of risk identification of volleyball industry, assessment, and optimization for IoT sports networks.