bluuebunny/crossref_metadata_2025 huggingface dataset:
Meshing Mechanism and Simulation Analysis of Silent Chain Based on Rigid-Flexible Intelligent Dynamics Technology
Authors: Ding Song
Published: April 2022

Silent chain is widely used in the field of mechanical transmission. Compared with ordinary chain transmission, it has prominent advantages such as high precision, low noise, and being suitable for high speed and heavy loads. Based on the design concept of intelligent dynamics, the phase variation is carried out. The multiphase transmission silent chain retains the original advantages of the single-phase transmission silent chain, and its structure bearing capacity is improved, the polygon effect is reduced, and the fluctuation, noise, and vibration of elastic edge are improved. Based on rigid-flexible intelligent dynamics technology, the transmission characteristics of a multiphase transmission silent chain system were studied. In this paper, the meshing contact force between the chain plate and the sprocket is described in detail, and the 3d model and dynamic model of the multiphase transmission silent chain are established. Topological optimization method was used to design the lightweight of the multiphase transmission silent chain, and the existing target of lightweight was realized. The dynamics simulation was carried out to extract the dynamics data and analyze the dynamics characteristics such as tight edge fluctuation, instantaneous transmission ratio, and meshing contact force. The results show that the model correctly predicts the dynamic behavior of the system, and the high speed inhibits the lateral fluctuation of the system. The peak value of meshing contact force increases with the increase of rotational speed, and the multiphase drive can be used in practical control system design.
Clinical Effect and Safety Analysis of 2.5 μg/kg DEX Nasal Drop in Child Undergoing Ultrasound Examination
Authors: Tu Haiya , Lin Jing , Huang Jinjin
Published: April 2022

In order to meta-analyze the clinical effect and safety of dexmedetomidine (DEX) intranasal sedation in child ultrasound examination, literature retrieval is carried out in Wanfang Medicine, PubMed database, domestic medical research journals. The relevant medical information literature on clinical effects and safety are analyzed by using Rev Man 5.2 software. The retrieved literature is screened according to the research object, method, disease type and other criteria. The results of meta-analysis show that dexmedetomidine intranasal sedation is applied to child undergoing ultrasound examination, and the SPO2 and sedation time are significantly higher than those in the conventional sedation group (P < 0.05). The time/score is significantly lower than that in the conventional sedation group (P < 0.05), and the incidence of adverse reactions in the dexmedetomidine intranasal sedation group is significantly lower than that in the conventional sedation group (P < 0.05).
CLASRM: A Lightweight and Secure Certificateless Aggregate Signature Scheme with Revocation Mechanism for 5G-Enabled Vehicular Networks
Authors: Wang Zhihua , Wang Haofan , Wang Yongjian , Yang Xiaolong
Published: April 2022

The rapid deployment of 5G technology has further strengthened the large-scale interconnection between sensing devices and systems and promoted the rapid development of smart cities and intelligent transportation systems. 5G-enabled vehicular networks take advantage of cellular vehicle-to-everything (C-V2X) technology to achieve the connection between moving vehicles, between vehicles and infrastructure, and between vehicles and the cloud, which can reduce the possibility of traffic jams and accidents, improve transportation efficiency, and realize automatic driving. Besides, 5G-enabled vehicular networks also provide infotainment services and industry application services. High-strength data transmission, however, will bring a serious burden of resource overhead, and there are hidden dangers of security and privacy in the communication process of vehicular networks. Some current vehicular network authentication schemes adopt public key infrastructure-based (PKI-based) and identity-based authentication methods to achieve conditional privacy preservation. Still, these schemes are too expensive and cannot address the problems of costly certificate management or risky key escrow. Some schemes use computationally complex bilinear pairing operations that result in low efficiency and do not consider the revocation of malicious nodes so that they cannot effectively prevent further malicious attacks. This paper proposes a lightweight certificateless aggregate signature (CLAS) scheme with a revocation mechanism suitable for 5G-enabled vehicular networks in response to the above problems. Our proposed scheme uses aggregation signature technology to aggregate multiple signatures into a single short signature, thus reducing communication overhead and storage overhead of road side units (RSUs). Furthermore, our proposed scheme utilizes the elliptic curve cryptography (ECC) to reduce verification time and computational overhead. Moreover, in order to prevent malicious users from sending invalid signatures to attack, our proposed scheme uses binary search to identify invalid signatures and introduces a cuckoo filter to revoke malicious users to prevent reattack. Finally, formal proof and experimental analysis show that our proposed scheme has greater advantages with respect to security and efficiency compared with the previous schemes.
Impact of Dynamic Elastic Modulus on Coal Permeability: Modeling and Analysis
Authors: Kong Jia , Lin Baiquan , Zhu Chuanjie , Liu Ting , Kong Xiangguo
Published: April 2022

Coalbed methane is a kind of high-quality clean energy. The underground gas drainage can achieve the efficient utilization of coalbed methane. Permeability is the key factor affecting gas drainage. At present, permeability research mainly considers the effect of gas adsorption-induced matrix swelling deformation as well as the effective stress. However, experiments indicate that the variation of pore pressure has an impact on the mechanical properties of coal, which further changes the coal permeability. Due to the differences between the theory and experimental results, firstly, the dynamic elastic modulus model was established in this paper. Then, an experiment was conducted to prove that the elastic modulus of coal-containing gas decreases with the increasing gas pressure. On this basis, a permeability model considering internal swelling deformation was constructed. Finally, the rationality of the model was validated through the laboratory experiment. Finally, through analyzing the influence of key parameters on the evolution law of permeability, we find that the parameters have three different impacts on permeability. The new permeability model is more accurate in predicting coalbed methane production capacity. The result can provide a theoretical basis for the research of the multifield coupling process during gas drainage.
Maneuver Strategy for Active Spacecraft to Avoid Space Debris and Return to the Original Orbit
Authors: Fang Qun , Zhang Zhen , Meng Haodong , Wang Xiaolong , Zhang Xiuwei
Published: April 2022

During normal operation of the on-orbit spacecraft, if some satellite in a nearby orbit suddenly breaks apart, its debris will threat the safe operation of the on-orbit spacecraft. Therefore, it is necessary to study the active spacecraft’s avoidance of the space debris group and returning to the original orbit. In this way, the safe operation of on-orbit spacecraft will be guaranteed. However, as the geometric structure of the space debris group is constantly changing, it is hard to accurately demonstrate the changing shape of the debris group, let alone determine the unreachable domain. Traditional obstacle avoidance problems involve low speed of the vehicle; so, the application of artificial potential field and particle swarm algorithms is suitable for such problems. However, these two methods are not applicable to the maneuver strategy of spacecraft with high initial velocity. Therefore, to help spacecraft avoid the space debris group, a new method is required. This paper has established a simplified model to simulate the unreachable domain of the space debris group. It has modified the artificial potential field (APF) method and particle swarm optimization algorithm, with an aim to help spacecraft avoid the space debris group and return to the original orbit. Based on the method, the paper has proposed a three-stage maneuver strategy for the spacecraft to avoid the debris. To show the effectiveness of the method, this paper has simulated an on-orbit spacecraft’s avoidance of the space debris group nearby and returning to its original orbit. Through simulation, the feasibility of the maneuver strategy for spacecraft in the geosynchronous orbit is evaluated. The simulation results show that the method proposed in this paper can effectively accomplish the task.
A Rickart‐Like Theorem for the Additivity of Multiplicative Maps on Rings
Authors: Al Subaiei Bana , Jarboui Noômen
Published: April 2022

Rickart’s theorem states that every bijective multiplicative mapping of a Boolean ring R onto an arbitrary ring S is necessarily additive. We prove a version of Rickart’s theorem for non‐bijective mappings. This enables us to partially answer a question that was left open (Al Subaiei, B., Jarboui, N. On the Monoid of Unital Endomorphisms of a Boolean Ring. Axioms 2021, 10, 305).
Application of Biomaterials in Tendon Injury Healing and Adhesion in Sports
Authors: Zhang Rui
Published: April 2022

High-intensity sports make tendon injury of professional athletes occur frequently. However, tendon adhesion in the healing process of tendon injury seriously affects the normal functional training of athletes after rehabilitation. Therefore, based on the theory of tendon injury healing, the MRDM image data of tendon injury healing are obtained by using medical image analysis technology, and the useless image data are screened by using the RANSAC algorithm. Through the analysis of filtered MRDM image data, it is found that the application of biomaterials has a positive effect on promoting the stable healing of tendon. A multilevel model was used to evaluate the actual effect of several commonly used biomaterials in repairing tendon injury and adhesion. The results showed that sodium hyaluronate had the best repair effect on tendon injury.
Research and Design of Docker Technology Based Authority Management System
Authors: You Li , Sun Hui
Published: April 2022

With the development of mobile Internet technology and the continuous popularization of the network, various kinds of network software come out constantly and people are becoming more and more dependent on them, while role authority management is of great importance for the security of software, the control of management process, and the usability of users. In terms of system implementation, virtual machine technology is often faced with problems such as high virtualization overhead, poor scalability, and long deployment time in spite of its good isolation effect. Container technology represented by Docker can well solve these problems and make it possible to quickly build, deploy, operate, and maintain as well as expand services. Based on Docker technology, this research compares and chooses from various authority control models and finally decides to take the role authority management model as the infrastructure. It designs the role authority control model based on cloud computing and Docker technology in combination with the Task Controller Function, the Project Controller Function, and the User Controller Function and realizes this model by adopting the MongoDB database combined with HTML/CSS/Javascript syntax and the Boor Strap framework. After the test, it is found that the Docker technology based role authority management system has satisfactory test performance consistent with expected outputs as well as strong robustness, which can meet the requirements of different objects and subjects.
Stability Analysis and Support Design Methods for Rock Foundation Pit with Combination of Structural Plane and Karst Cave
Authors: Xu Jin , Wang Yansen
Published: April 2022

In this paper, the failure mode of the “deep foundation pit slope with high dip angle structural surface and cave development” is analyzed by numerical simulations, and an innovative numerical calculation method for calculating the stability of foundation pit slope based on the principle of upper limit analysis and the prediction method of rock slope surface is proposed. The lateral earth pressure acting on the support structure is further deduced, which can be used more widely than the traditional earth pressure calculation equations. Based on finite element analysis of a pole system, we developed an improved numerical calculation method of the force, and deformation of retaining piles is proposed to carry out the analysis of the deformation of structures under force. Our method avoids the need to artificially place earth pressure on either side of the embedded portions of the piles. Compared with the measured horizontal displacement of the retaining pile, this improved numerical calculation method can reflect the force and deformation law of retaining piles at certain construction stages. In this paper, the upper limit analysis method based on the stability analysis of slopes and earth pressure calculation equations is proposed, taking into account the working conditions of the karst cave in different locations, and the minimum supporting force required can be calculated more accurately while predicting the range of slope sliding surface. An improved numerical calculation method of the retaining piles is proposed in this paper, and the calculation results can reflect the deformation law of the retaining piles during the excavation of the rock foundation pit, and the whole analysis and calculation process has certain advantages compared with the traditional method.
Large-Scale Textual Datasets and Deep Learning for the Prediction of Depressed Symptoms
Authors: Chakraborty Sudeshna , Mahdi Hussain Falih , Ali Al-Abyadh Mohammed Hasan , Pant Kumud , Sharma Aditi , Ahmadi Fardin
Published: April 2022

Millions of people worldwide suffer from depression. Assessing, treating, and preventing recurrence requires early detection of depressive symptoms as depression-related datasets expand and machine learning improves, intelligent approaches to detect depression in written material may emerge. This study provides an effective method for identifying texts describing self-perceived depressive symptoms by using long short-term memory (LSTM) based recurrent neural networks (RNN). On a huge dataset of a suicide and depression detection dataset taken from Kaggle with 233337 datasets, this information channel featured text-based teen questions. Then, using a one-hot technique, medical and psychiatric practitioners extract strong features from probably depressed symptoms. The characteristics outperform the usual techniques, which rely on word frequencies rather than symptoms to explain the underlying events in text messages. Depression symptoms can be distinguished from nondepression signals by using a deep learning system (nondepression posts). Eventually, depression is predicted by the RNN. In the suggested technique, the frequency of depressive symptoms outweighs their specificity. With correct annotations and symptom-based feature extraction, the method may be applied to different depression datasets. Because of this, chatbots and depression prediction can work together.
Effect of Low Frequency Repetitive Transcranial Magnetic Stimulation (rTMS) Combined with Hyperbaric Oxygen (HBO) on Awakening of Coma Patients with Traumatic Brain Injury
Authors: Liu Mei , Li Qun , Bao Yingcun , Ma Yumei , Niu Yanxia , Zhang Fang
Published: April 2022

Coma caused by craniocerebral injury is a common condition of neurosurgical acute injury. There is no specific method to promote awakening in a clinic. Early comprehensive treatment may be helpful to patients. The common methods are hyperbaric oxygen (HBO) and low-frequency repetitive transcranial magnetic stimulation (rTMS). However, the application effect and mechanism of rTMS combined with HBO on coma patients with traumatic brain injury need to be further studied. The brain stem auditory evoked potential (BAEP) is examined by the Kennedy coma recovery scale (CRS-R), the recovery of brain function and the state of consciousness are evaluated, and the therapeutic effect is evaluated by the Glasgow Coma Scale (GCS). Cerebrospinal fluid NE level, MCA blood flow velocity, and left brainstem and right brainstem auditory evoked potential are used to evaluate brain rehabilitation. RTMS combined with HBO could shorten the wake-up time, improve the wake-up rate, improve the GCS score and CRS-R score, shorten the brain wave latency time of the left and right brainstem, increase the NE level of cerebrospinal fluid, and decrease the blood flow velocity of MCA. RTMS combines with HBO can improve the nerve excitability of brain cells, reduce the disturbance of consciousness, promote the functional recovery of brain injury, and has a certain role in promoting the awakening of patients with traumatic brain injury coma.
Selenium Migration Mode in Coal Seams: Insights from Multivariate Analysis, Leaching Investigation, and Modelling
Authors: Shan Yao , Qin Yong , Wang Wenfeng
Published: April 2022

Processes controlling selenium concentrations ([Se]) in mine waters were studied at an operating coalmine district in Xuzhou city, China. The geochemistry and mobility of selenium was studied through leaching experiments, multivariate analysis, and numerical modeling. Results showed that selenium leaching was influenced by selenium occurrence in minerals, pH, electron activity (pe), and sulfur concentration in the water. Selenium occurrence in host rock was mainly sulfide minerals, and clay minerals in coal, respectively. Therefore, the oxidation and dissolution of sulfide minerals and transformation of clays may control the release of selenium. Experimental leaching experiments suggested selenium tends to leach more when the solution has more sulfur dissolved. A positive relationship is established between pH and the amount of Se released into solution with four times more Se released at pH 12 compared to pH 2 when leached with high-purity water. This release behavior is higher in O2-rich environments. The numerical modeling results showed that pH, pe, and sulfur presence in the solution play important roles in selenium adsorption. Selenium was desorbed from adsorbing surfaces under alkaline conditions, specifically when the solution pH was higher than 8. Higher pe values in the solution caused reduced selenium adsorption. In addition, dissolved sulfur competed with selenate for surfaces of adsorption, thus, selenium adsorption decreases as the sulfur concentration increased.
Effect of Rituximab on 24-Hour Urine Protein and Albumin or Renal Function in Patients with Glomerulonephritis
Authors: Huang Fangzhong , Huang Jian , Liu Yan , Li Jinli
Published: April 2022

This study aimed to investigate the correlation between the urine protein/creatinine ratio (PCR) and 24 h urine total protein quantity (24hUTP) in morning and random urine and its prediction equation. Rituximab (RTX), a monoclonal antibody that acts on the B cell epitope CD20, has been used in the renal field since 2005 and has become a hot topic in the clinical treatment of many glomerulonephritis diseases. Apart from focusing on the safety and efficacy of RTX in clinical treatment, some scholars are still working on the mechanism of its action in the treatment of renal diseases, trying to find its specific targets in renal tissues. Results. There was no significant difference between morning urine PCR, random urine PCR, and 24hUTP (

P
=
0.81

); there was a significant positive correlation between morning urine PCR and 24hUTP (r = 0.90,

P
<
0.01

) and between random urine PCR and 24hUTP (r = 0.95,

P
<
0.01

), and the correlation between random urine PCR and 24hUTP was higher than that between morning urine PCR and 24hUTP. The results of the ROC curve analysis showed that the correlation between morning urine PCR, random urine PCR, and 24hUTP was higher than that between morning urine PCR and 24hUTP in different groups. The optimal threshold values for random urine PCR to predict 2.4hUTP were 0.56 g/g (sensitivity 93.5%; specificity 75.4%), 1.11 g/g (sensitivity 98.3%; specificity 92.4%), and 3.43 g/g (sensitivity 87.9%; specificity 89.9%), respectively. The equations for predicting 24hUTP by morning urine PCR and random urine PCR were as follows: (1) 24hUTP(g) = 0.793 + 0.793 × morning urine PCR + 0.124 × total cholesterol − 0.177 × Alb (coefficient of determination R2 = 0.87); (2) 24hUTP(g) = 0.369 + 0.856 × random urine PCR + 0.132 × total cholesterol − 0.092 × Alb (coefficient of determination R2 = 0.92); the prediction equation of random urine was more accurate than that of morning urine. The correlation was not affected by gender, age, 24 h urine volume, etiology, eGFR, Alb, or total cholesterol level, and the correlation between random urine PCR and 24hUTP was higher than that of morning urine PCR. CR prediction equation was used instead of the 24hUTP test.
Immortalized Mesenchymal Stem Cells: A Safe Cell Source for Cellular or Cell Membrane-Based Treatment of Glioma
Authors: Zhang Yuxuan , Liu Jie , Mo Yunzhao , Chen Zetao , Chen Taoliang , Li Yan , Zheng Yaofeng , Deng Shaokang , Xu Xiangdong , Chen Huajian , He Haoqi , Chen Jiansheng , Jin Tao , Sun Xinlin , Ke Yiquan , Wang Jihui
Published: April 2022

Mesenchymal stem cells (MSCs) have emerged as putative therapeutic tools due to their intrinsic tumor tropism, and anti-tumor and immunoregulatory properties. The limited passage and self-differentiation abilities of MSCs in vitro hinder preclinical studies on them. In this study, we focused on the safety of immortalized mesenchymal stem cells (im-MSCs) and, for the first time, studied the feasibility of im-MSCs as candidates for the treatment of glioma. The im-MSCs were constructed by lentiviral transfection of genes. The proliferative capacity of im-MSCs and the proliferative phenotype of MSCs and MSCs co-cultured with glioma cells (U87) were measured using CCK-8 or EdU assays. After long-term culture, karyotyping of im-MSCs was conducted. The tumorigenicity of engineered MSCs was evaluated using soft agar cloning assays. Next, the engineered cells were injected into the brain of female BALB/c nude mice. Finally, the cell membranes of im-MSCs were labeled with DiO or DiR to detect their ability to be taken up by glioma cells and target in situ gliomas using the IVIS system. Engineered cells retained the immunophenotype of MSC; im-MSCs maintained the ability to differentiate into mesenchymal lineages in vitro; and im-MSCs showed stronger proliferative capacity than unengineered MSCs but without colony formation in soft agar, no tumorigenicity in the brain, and normal chromosomes. MSCs or im-MSCs co-cultured with U87 cells showed enhanced proliferation ability, but did not show malignant characteristics in vitro. Immortalized cells continued to express homing molecules. The cell membranes of im-MSCs were taken up by glioma cells and targeted in situ gliomas in vivo, suggesting that im-MSCs and their plasma membranes can be used as natural drug carriers for targeting gliomas, and providing a safe, adequate, quality-controlled, and continuous source for the treatment of gliomas based on whole-cell or cell membrane carriers.
Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India
Authors: Dam Nguyen Duc , Amiri Mahdis , Al-Ansari Nadhir , Prakash Indra , Le Hiep Van , Nguyen Hanh Bich Thi , Pham Binh Thai
Published: April 2022

Landslide susceptibility mapping is considered a useful tool for planning, disaster management, and natural hazard mitigation of a region. Although there are different methods for predicting landslide susceptibility, the bivariate statistical analysis method is considered to be simple and popular. In this study, the main aim is to evaluate the performance of Shannon entropy (SE) and weights of evidence (WOE) statistical models in landslide susceptibility mapping of Pithoragarh district of Uttarakhand state, India. For this purpose, ten landslide affecting factors, namely, slope degree, aspect, curvature, elevation, land cover, slope forming materials, geomorphology (landforms), distance to rivers, distance to roads, and overburden depth were used for the development of landslide susceptibility maps using the SE and WOE methods. Data extracted from the Google Earth images, Aster Digital Elevation Model, and Geological Survey of India report were used for the construction and evaluation of landslide susceptibility models and maps. The landslide data of 91 locations were randomly divided into two parts in the ratio of 70 : 30 using GIS software that is 70% data was used for training the models and 30% data was used for testing and validating the models. Performance of the applied models was evaluated using area under the AUC (area under the curve) ROC (receiver operating characteristics) curve. Results indicated that the WOE model is having better accuracy (AUCWOE = 68.75%) than the SE model (AUCSE = 52.17%) in the development of landslide susceptibility maps. Hence, WOE model can be used for the development of accurate landslide susceptibility maps which can provide useful information to decision maker and policy planner in better development of landslide prone areas.
Status Quo and Countermeasures of College English Listening Teaching in the New Multimedia Environment
Authors: Wu Dan , Sun Li
Published: April 2022

With the rapid development and continuous improvement of modern science and technology, the multimedia technology based on computers and networks is becoming more and more popular due to its characteristics of the diversity of expression means, interactivity of operation forms, richness and sharing of resource storage, etc., into all aspects of social life. This research mainly discusses the current situation and countermeasures of college English listening teaching in the new multimedia environment. In teaching, teachers must create a good learning environment for students. In this learning environment, students carry out learning through independent inquiry and cooperative learning, and students are in a dominant position in the learning process; teachers should promote and supervise the development of students. Therefore, multimedia technology has created a real learning situation for English teaching, prompting students to give full play to their subjective initiative. Multimedia technology can realistically simulate various real situations and things, visually provide students with examples, and prompt students to quickly grasp knowledge and apply it in real life. First of all, this research aims to explore the effectiveness of the theory in teaching by applying multimedia to actual listening teaching, enrich the content of listening teaching, and provide a certain degree of reference for actual teaching. Second, through the experimental data and research results of this study, it is proved whether multimedia is better than the existing listening teaching mode, and it is verified whether the method can improve the listening comprehension ability of students to a certain extent. The individual scores of the subjects’ listening tests have been significantly improved, from the initial scores of 52.4% and 53.1% to 70% and 73%. Multimedia teaching can effectively stimulate learners’ interest in learning, enrich teaching methods, and improve learning effects, which has become one of the hotspots in educational research. For English teaching that pays great attention to practical application, listening teaching is the most basic and most important link in the whole teaching system. This research is helpful to promote the development of college English multimedia listening teaching.
Bioassay-Guided Fractionation, ESI-MS Scan, Phytochemical Screening, and Antiplasmodial Activity of Afzelia africana
Authors: Vigbedor Bright Yaw , Osei-Owusu Jonathan , Kwakye Ralph , Neglo David
Published: April 2022

Background. Afzelia africana is a plant species with reported numerous medicinal potentials and secondary metabolites. Various parts of the plant have been applied for the treatment of hernia, rheumatism, pain, lumbago, malaria, etc. The study seeks to evaluate the phytochemical constituents, antiplasmodial, and ESI-MS scan of bioassay-guided fractions from the methanol extract of the bark of the plant. Aims. The main aim of the study was to carry out bioassay-guided fractionation of the crude methanol extract of Afzelia africana in order to isolate fractions and to evaluate their antiplasmodial activities and ESI-MS fingerprints. Methods. The methods employed include column chromatographic fractionation, phytochemical screening, antiplasmodial activity (malaria SYBER green assay (MSF)), and ESI-MS profile (full ESI-MS scan). Results. The column chromatographic fractionation and phytochemical screening of the plant led to the separation of the following four fractions: 1 (flavonoids, phenolics, glycosides, terpenoids, and steroids), 2 (alkaloids, anthraquinones, flavonoids, phenolics, glycosides, terpenoids, and steroids), 3 (anthraquinones, flavonoids, phenolics, glycosides, terpenoids, and steroids), and 4 (alkaloids, flavonoids, phenolics, glycosides, terpenoids, and steroids). The antiplasmodial activities of the fractions were tested against the 3D7 strain of Plasmodium falciparum with reported stronger activities for 1 (IC50: 0.097 ± 0.034 μg/mL) and 3 (IC50: 1.43 ± 0.072 μg/mL), and weaker activities for 2 (IC50: >100 μg/mL) and 4 (IC50: 37.09 ± 6.14 μg/mL). The full ESI-MS fingerprint of fractions 1, 2, 3, and 4 revealed the presence of 14, 24, 34, and 37 major molecular ions or compounds in each fraction, respectively.
Early Warning of Basketball Injury Risk Based on Attribute Reduction Algorithm
Authors: Wang Peng , Baek Seungsoo
Published: April 2022

Basketball is one of the students’ favorite ball games, and it is also one of the most popular sports for college students to carry out after class. Especially in recent years, with the spread of NBA culture around the world and the extensive development of CUBA in domestic colleges and universities, Yao Ming has appeared in China to compete in the NBA and achieve brilliant achievements. With the increasing investment in the number of basketball venues, basketball itself, as a sport with low dependence on venues, equipment, and people, has the characteristics of economy, convenience, and remarkable sports effect compared with other sports. College students’ basketball skills, basketball awareness, and love for basketball are increasing day by day. Attribute reduction algorithm is one of the core contents of knowledge discovery, which describes whether every attribute in the attribute set of information system is necessary and how to delete unnecessary knowledge. Based on the attribute reduction algorithm, this paper studies the early warning of basketball injury risk. The basketball injury can not only make athletes unable to participate in training or competition, but even cripple or lose their lives, which hinders the normal development of sports. Therefore, we should make a comprehensive and objective analysis of sports training to find out the causes of sports injuries, so as to prevent sports injuries. This algorithm takes the attribute frequency as the heuristic information and solves the attribute selection problem when the attribute frequency is the same.
Enterprise Privacy Resource Optimization and Big Data Intelligent Management Strategy Oriented to the Internet of Things
Authors: Hou Bo , Huang Rong
Published: April 2022

In the context of the Internet of Things, user privacy leads to the lack of information security and the obscuration of traditional privacy concepts. Therefore, how to ensure information security and protect user privacy is a key issue that enterprises must solve in the process of using the Internet of Things technology. At present, the research on corporate employees’ protection of user privacy in the context of the Internet of Things is mostly focused on the technical level, while the legal and management levels are relatively lacking. Based on the definition of the corporate concept in the context of the Internet of Things, this paper uses management and psychology as the research perspective, and based on theory of persuasion, adjustment orientation theory, and reinforcement theory, it discusses the attitudes of corporate employees to protect user privacy in the context of the Internet of Things and behaviour mechanism, constructing a new theoretical model. This experiment uses 0.001 as the step size to change the corresponding threshold size. The interval range is [0.001, 10], and there are a total of 10,000 points in the interval, which is equivalent to 100 million sensor attack tests. According to the above method, 10,000 points of the ROC curve can be obtained by using 10,000 thresholds, and the corresponding ROC curve can be drawn in the coordinate graph, which can intuitively reflect the performance of the VRADS vehicle anomaly real-time detection system. The challenge of data information protection is analyzed, trying to clarify the ideas for the protection of personal data and information in the Internet of Things environment and even lead to employees’ rebellious psychology. This article proves that the pertinence and effectiveness of the persuasive content have a positive impact on employees’ attitudes towards privacy protection, and it has been further deepened in the context of the Internet of Things. The balance point is to leave enough room for the long-term sustainable development of the Internet of Things industry on the basis of protecting the personal rights and interests of users.
Development an Artificial Neural Network Model for Estimating Cost of R/C Building by Using Life‐Cycle Cost Function: Case Study of Mexico City
Authors: Reyes Henry E. , Bojórquez Juan , Cruz-Reyes Laura , Ruiz Sonia E. , Reyes-Salazar Alfredo , Bojórquez Edén , Barraza Manuel , Formisano Antonio , Payán Omar , Torres José R.
Published: April 2022

This paper addresses the importance of engineering asset management decisions and control. For this purpose, a Life‐Cycle Cost (LCC) analysis is conducted for typical reinforced concrete (R/C) buildings located in Mexico City. The objective of this study is to develop an artificial neural network (ANN) model that can estimate the total expected cost of R/C buildings by using LCC functions. The total cost includes the initial cost and the cost of the damage caused by future possible ground motions at the site of interest. The present value of the cost includes: initial cost, repair or reconstruction cost, cost of damage to the contents, costs associated with the loss of life or injuries and economic losses. The structural performance is evaluated using probabilistic models, artificial neural networks models are used to obtain the seismic response of the buildings. The methodology is applied to a set of reinforced concrete buildings with 4, 8, and 12 stories which are located at the soft soil of Mexico City. Finally, it is concluded that the life‐cycle cost is efficiently obtained using artificial neural network models for estimating the structural reliability of reinforced concrete buildings, in such a way that it can be used as an excellent planning tool that covers long spans of time.
Diagnosis of Lumbar Spondylolisthesis Using Optimized Pretrained CNN Models
Authors: Saravagi Deepika , Agrawal Shweta , Saravagi Manisha , Chatterjee Jyotir Moy , Agarwal Mohit
Published: April 2022

Spondylolisthesis refers to the slippage of one vertebral body over the adjacent one. It is a chronic condition that requires early detection to prevent unpleasant surgery. The paper presents an optimized deep learning model for detecting spondylolisthesis in X-ray radiographs. The dataset contains a total of 299 X-ray radiographs from which 156 images are showing the spine with spondylolisthesis and 143 images are of the normal spine. Image augmentation technique is used to increase the data samples. In this study, VGG16 and InceptionV3 models were used for the image classification task. The developed model is optimized by utilizing the TFLite model optimization technique. The experimental result shows that the VGG16 model has achieved a 98% accuracy rate, which is higher than InceptionV3’s 96% accuracy rate. The size of the implemented model is reduced up to four times so it can be used on small devices. The compressed VGG16 and InceptionV3 models have achieved 100% and 96% accuracy rate, respectively. Our finding shows that the implemented models were outperformed in the diagnosis of lumbar spondylolisthesis as compared to the model suggested by Varcin et al. (which had a maximum of 93% accuracy rate). Also, the developed quantized model has achieved higher accuracy rate than Zebin and Rezvy’s (VGG16 + TFLite) model with 90% accuracy. Furthermore, by evaluating the model’s performance on other publicly available datasets, we have generalised our approach on the public platform.
On the FAULT-TOLERANT Resolvability in Line Graphs of Dragon and Kayak Paddles Graphs
Authors: Faheem Muhammad , Zahid Zohaib
Published: April 2022

Because of its wide range of applications, metric resolvability has been used in chemical structures, computer networks, and electrical circuits. It has been applied as a node (sensor) in an electric circuit. The electric circuit will not be able to flow current if one node (sensor) in that chain becomes faulty. The fault-tolerant selfstable circuit is a circuit that permits the current flow even if one of the nodes (sensors) becomes faulty. If the removal of any node from a resolving set (RS) of the circuit is still a RS, then the RS of the circuit is considered a fault-tolerant resolving set (FTRS) and the fault-tolerant metric dimension (FTMD) is its minimum cardinality. Even though the problem of finding the exact values of MD in line graphs seems to be even harder, the FTMD for the line graphs was first discussed by Guo et al. [13]. Ahmad et al. [5] determined the precise value of the MD for the line graph of the kayak paddle graph. We calculate the precise value of the FTMD for the line graph in this family of graphs. The FTMD is a more generalized invariant than the MD. We also consider the problem of obtaining a precise value for this parameter in the line graph of the dragon graph. It is concluded that these families have a constant FTMD.
Dynamic Display Design of Cultural and Creative Products Based on Digital Augmented Reality Technology
Authors: Zhang Zhuoran , Zhang Lu
Published: April 2022

The development of science and technology has brought about a change in life, and this has also caused people to use technology more and more frequently. In the dynamic display design of cultural and creative products, people are also beginning to look for a technology that can better deal with it. Its characteristics are displayed, which is the research of this article. This article aims to study how to carry out a dynamic display design for cultural and creative products. To this end, this paper proposes a method of digital augmented reality technology, optimizes the visual search technology in augmented reality technology, studies and analyzes its specific digital implementation process, divides and understands the technical principles, and designs relevant experiments to study its specific display effect and carry out the relevant effect analysis in the analysis part. The experimental results of this article show that the improved augmented reality technology can better enhance the consumer’s interactive experience. At the same time, the consumers’ purchase intentions have also been improved by 43%. It can be said that the dynamic effects of cultural and creative products are well demonstrated.
Predicting Carbon Residual in Biomass Wastes Using Soft Computing Techniques
Authors: Verma Preety , Godwin Ponsam J. , Shrivastava Rajeev , Kushwaha Ajay , Sao Neelabh , Chockalingam AL , Bojaraj Leena , JaikumarR  , Chandragandhi S. , Alene Assefa
Published: April 2022

In recent decades, the development of complex materials developed a class of biomass waste-derived porous carbons (BWDPCs), which are used for carbon capture and sustainable waste management. It is difficult in understanding the adsorption mechanism of CO2 in the air as it has a wide range of properties associated with its diverse textures, functional group existence, pressure, and temperature of varying range. These properties influence diversely the adsorption mechanism of CO2 and pose serious challenges in the process. To resolve this multiobjective formulation, we use a machine learning classifier that maps systematically the CO2 adsorption as a function of compositional and textural properties and adsorption parameters. The machine learning classifier helps in the classification of various porous carbon materials during the time of training and testing. The results of the simulation show that the proposed method is more efficient in classifying the porous nature of the CO2 adsorption materials than other methods.
Effect of Treatment with Colchicine after Acute Coronary Syndrome on Major Cardiovascular Events: A Systematic Review and Meta-Analysis of Clinical Trials
Authors: Razavi Erfan , Ramezani Akam , Kazemi Asma , Attar Armin
Published: April 2022

Aim. Colchicine as an anti-inflammatory drug might be effective in the treatment of atherosclerosis, an inflammatory-based condition. The aim of this systematic review and meta-analysis was to evaluate the impact of colchicine on acute coronary syndrome (ACS). Methods. We searched SCOPUS, PubMed, and Web of Science up to September 27, 2020. All clinical trials which evaluated the effect of colchicine on ACS patients and reported high-sensitivity C-reactive protein (hs-CRP) serum level or gastrointestinal (GI) adverse events with at least 5-day follow-up or death, myocardial infarction (MI), and stroke with at least 30-day follow-up as outcomes were included. Results. Finally, seven publications were analyzed. The results of our study revealed that colchicine has a marginally significant effect on hs-CRP attenuation. Furthermore, colchicine manifested promising results by declining the risk of stroke by 70%. However, MI and primary composite endpoint did not differ between the colchicine and noncolchicine groups. Although colchicine did not significantly increase GI adverse events in the pooled analysis, the dose-dependent effect was detected. Low-dose consumption can avoid GI side effects of colchicine. Conclusion. Colchicine has shown some molecular and clinical promising results in ACS patients. The lack of effect of colchicine on MI and all-cause mortality can be partly attributed to the limitations of previous studies. Since colchicine is an inexpensive and easy-to-access drug that has shown to be safe in low-dose regimens in the clinical setting; it would be worthy that future large-scale well-designed clinical trials address this issue by resolving the limitations of previous investigations.
Psychosocial Factors and Psychological Characteristics of Personality of Patients with Chronic Diseases Using Artificial Intelligence Data Mining Technology and Wireless Network Cloud Service Platform
Authors: An Kangqi
Published: April 2022

It was to explore the application value of health cloud service platform based on data mining algorithm and wireless network in the analysis of psychosocial factors and psychological characteristics of personality of patients with chronic diseases. Based on the demand analysis of cloud service platform for chronic diseases, a health cloud service platform including three modules was established: support layer, application layer, and interaction layer; and K-means algorithm and Apriori algorithm were used to mine and process data. The changes of pulse wave and EEG signal of epileptic seizures before and after processing by wireless network health cloud service platform were analyzed. 42 patients with idiopathic generalized epilepsy were selected as the research subjects, and 40 volunteers with normal physical examination during the same period were selected as the control group. The differences in the basic clinical characteristics data, Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), Symptom Checklist 90 (SCL-90), and Eysenck Personality Questionnaire-Revision Short Scale for Chinese (EPQ-RSC) were compared between the two groups. It was found that the initial EEG signals of epileptic patients had noise pollution before and after the seizure, and the noise in the EEG signals was filtered out after digital technology processing in the cloud service platform. The maximum number of epileptic patients aged 18∼30 years was 17 (40.48%), and the mean scores of HAMD and HAMA scales in the epileptic group were significantly higher than those in the control group (

P
<
0.001

). The total score of SCL-90, somatization, obsessive-compulsive symptoms, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, and psychosis in the epilepsy group were obviously higher than those in the control group (

P
<
0.01

). The mean value of EPQ-RSC and neuroticism (N) was clearly higher (

P
<
0.05

), the mean value of extroversion (E) was significantly lower (

P
<
0.01

), and the mean value of Lie Scale was significantly higher (

P
<
0.05

) in the epileptic group in contrast with those in the control group. It indicates that the cloud service platform for chronic diseases based on artificial intelligence data mining technology and wireless network has potential application value. Epilepsy patients with chronic diseases should be paid more attention to their psychosocial factors and psychological characteristics of personality in the treatment process.
Z-Bar Shoeing Demonstrates Potential for Long-Term Foot Pain Management during an Exercise Training Regimen in a Show Jumping Pony with Uniaxial Palmar Pain
Authors: Sanigavatee Kanokpan , Poochipakorn Chanoknun , Charoenchanikran Ponlakrit , Joongpan Weena , Chanda Metha
Published: April 2022

Z-bar shoeing has been implemented to relieve uniaxial palmar pain arising from the structures in the affected region. However, there have been no reports on the long-term application of the z-bar shoe during exercise training regimens. A 10-year-old mixed-breed show jumping pony presented with an occasional short stride and abnormal rhythm while turning during routine exercise for three months. Gait analysis conducted by trotting off on both hard and soft surfaces showed no lameness in the straight line on both types of surfaces. However, right forelimb lameness was detected with moderate and slight pain accompanying hard surface lunging in clockwise and counterclockwise directions, respectively. Sequential examination of uniaxial perineural anaesthesia confirmed that the pony suffered from medial palmar pain on the right foreleg. Mild distal border irregularity of the navicular bone was also observed radiographically. The z-bar shoe was designed relative to the palmar digital anaesthesia and subsequently applied on the lame leg. The pony demonstrated a marked reduction in lameness severity immediately post-Z-bar shoeing. Physical exercise was resumed a few days after the shoeing practice. The pony underwent routine exercise training while continuously fitting with the Z-bar shoe for 24 weeks without recurrent lameness or complications. Application of z-bar shoe showed the potential for long-term foot pain management during an exercise training regimen in a show jumping pony with uniaxial palmar pain.