bluuebunny/crossref_metadata_2025 huggingface dataset:
Synthesis and Antitumor Activity of a GSH Inert Bisphosphonate Platinum (II) Complex
Authors: Ma Lu , Liu Hua , Ju Yichun , Chen Kai , Yang Yi , Zhou Zhichao , Zhang Zhenqin , Cai Zheng
Published: October 2022

Osteosarcoma is a highly aggressive neoplasm. Traditional platinum chemotherapeutic agents for osteosarcoma inevitably have acquired drug resistance and serious side effects, which have limited their utility. To slow down the reaction of platinum drugs with glutathione (GSH) is a strategy to overcome the resistance of platinum chemotherapeutic agents. Herein, the unique design of a GSH inert bisphosphonate platinum complex cis-{di(amino)platinum[tetraethyl 2,2-bis(2-pyridinylmethyl)methylidene-1,1-bisphosphonate]} (DBPP) is reported. MTT assay demonstrates that DBPP showed moderate inhibition towards human osteosarcoma cell line U2OS cells. The cytostatic action of DBPP is related to conformational conversion from B-DNA to A-DNA and the unwinding of pUC19 DNA. DBPP could also destroy the tertiary structure of human serum albumin (HSA). Notably, 31P NMR and 1H NMR indicate that DBPP can hardly chelate with GSH, which could overcome the GSH-induced side effects. We envision that this unique design of the platinum complex would open up new ways to overcome GSH-induced resistance.
Control Optimization Design of Radio Frequency Identification Technology in IoT Express Logistics Distribution System
Authors: Liu He , Jiao Linna , Wang Fangfang , Zhang Xiaoman
Published: October 2022

In order to solve the problems of high consumption cost and long transportation and distribution cycle of cross-border logistics, a control optimization design method of radio frequency identification technology in the express logistics distribution system of the Internet of Things is proposed. The details of the method are RFID positioning technology, laser ranging technology, RFID and laser fusion positioning feasibility analysis, and moving target state estimation. The experimental results show that when the phase shift threshold φ and the included angle of the antenna are 90°, the error can be reduced to 0.36 m, and the recognition rate can be increased to 94.8%. The simulation results show that, on the premise of meeting the customer’s expectation of timeliness, the actual logistics distribution cost is significantly lower than the customer’s expected logistics distribution cost, which verifies the effectiveness of the proposed method.
Factor Analysis and Mental Health Prevention of Employee Turnover under the Profit-Centered Development of Modern Service Industry
Authors: Zhong Youwen , Zhang Huifang , Wu Xiaoling
Published: October 2022

Recently, the employee turnover rate of the modern service industry has continued to increase, leading to a decline in the service quality, customer turnover, and an increase in human costs. Meanwhile, fierce competition and enterprises’ internal pressure have brought great psychological trauma to employees and affected their mental health. Understanding and finding out the factors that affect employees’ resignations are the solutions to employees’ mental health problems. The research innovation lies in building a relationship model between turnover intention, psychological contract, and job satisfaction; analyzing the influence mechanism and interaction of various variables in the model; and providing reference and thinking for the service industry to solve the problem of excessive turnover of employees. Besides, the questionnaire design and investigation are carried out, and 60 front-line employees of a service company are selected as the research objects. The results show that the overall internal consistency coefficient of SCL-90 is 0.96, and the overall consistency coefficient is directly proportional to the scale’s reliability. The validity coefficient of SCL-90 is 0.79, which has good compatibility validity. Moreover, the correlation coefficient between the psychological contract and turnover intention is 0.621, and the Sig value is 0.00. The correlation coefficient between job satisfaction and turnover intention is −0.663, and the Sig value is 0.00. The psychological contract is positively correlated with turnover intention, and job satisfaction is negatively correlated with turnover intention. After the standard dance experiment, the

P

values of psychological indicators such as somatization, interpersonal relationship, depression, anxiety, and psychosis factors of employees in the control and experimental groups are all less than 0.05, indicating a significant correlation. Therefore, through 12 weeks of standard dance practice, all psychological indicators of the experimental group are significantly improved. However, the change results of the terror factor and paranoia factor are

P
>
0.05

, showing no significant difference. After the standard dance experiment, there is a significant difference between the control and experimental groups in mental health factors, but no significant difference in terror and paranoia factors. This study has significant reference value for the prevention of employee turnover and mental health.
Mitigation of Corruption by Implementing e-Government Using Soft Computing
Authors: Shareef Shareef M.
Published: October 2022

Electronic government (e-government) allows citizens to contact government authorities directly through computers, smartphones, and the Internet. In the return reducing face-to-face interaction with government employees decreases their permissive role and the potential for corruption, hence enabling the government to be more effective and trustworthy and provide transparency and accountability. However, e-government is not the only aspect of the larger battle against corruption; it is not the only way to reduce corruption. e-government is successful in the fight against trivial and administrative corruption. In spite of that, broad governmental actions, including both preventative and perhaps disciplinary anticorruption measures are required to combat corruption. This research aims to identify the factors that affect success in reducing the level of corruption in e-government, and then evaluate these factors by developing a model that determines the effective factors that impact the mitigation of corruption. We believe that a soft computing-fuzzy logic algorithm is an appropriate method for evaluating and determining the effective factors, and hence might lead to a feasible way to the success of e-government. The findings revealed that the model is adaptable and may be used in e-government performance applications for government authorities and experts.
Prognostic Significance of ANGPTL4 in Lung Adenocarcinoma: A Meta-Analysis Based on Integrated TCGA and GEO Databases
Authors: Yang Yang , Liu Yufei , Gao Peiyang , Liu Ke , Zhao Keni , Ying Rongtao , Jiang Jun , Xie Xiaohong , Xiao Wei , Huang Qingsong , Wu Jianying , Zhang Chuantao
Published: October 2022

Lung adenocarcinoma (LUAD) is a common malignant tumor with a poor prognosis. Recent studies have found that angiopoietin-like 4 (ANGPTL4) is abnormally expressed in many tumors, so it can serve as a potential prognostic marker and therapeutic target. However, its prognostic value in LUAD remains unclear. We downloaded RNA sequence data for LUAD from The Cancer Genome Atlas (TCGA) database, methylation data from the University of California Santa Cruz genome database, and clinical information. R software (version 4.1.1) was applied to analyze the ANGPTL4 expression in LUAD and nontumor samples, and the correlation with clinical characteristics to assess its prognostic and diagnostic value. In addition, we analyzed the relationship between the ANGPTL4 expression and methylation levels. Tumor IMmune Estimation Resource (TIMER) tool was taken for immune infiltration analysis, and two Gene Expression Omnibus (GEO) datasets were combined for meta-analysis. Finally, differentially expressed genes (DEGs) related to ANGPTL4 were analyzed to clarify its function. As shown in our results, ANGPTL4 was upregulated in LUAD and was an independent risk factor for the diagnosis and prognosis of LUAD. The general methylation level and eight ANGPTL4 methylation sites were significantly negatively correlated with the ANGPTL4 expression. Furthermore, we found that B cell infiltration was negatively correlated with ANGPTL4 expression and was an independent risk factor. Meta-analysis showed that the high expression of ANGPTL4 was closely associated with a poor prognosis. 153 DEGs, including the matrix metalloproteinase family, the chemokines subfamily, and the collagen family, were correlated with ANGPTL4. In this study, we found that ANGPTL4 was significantly elevated in LUAD and was closely associated with the development and poor prognosis of LUAD, suggesting that ANGPTL4 may be a prognostic biomarker and a potential therapeutic target for LUAD.
Yoga, Meditation, Breathing Exercises, and Inflammatory Biomarkers with Possible Implications in COVID-19: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Authors: Shah Komal , Adhikari Chiranjivi , Sharma Shubham , Saha Somen , Saxena Deepak
Published: October 2022

Introduction. COVID-19, a multisystem disease, has implications for various immunity and infection biomarkers. Yoga (Y), meditation (M), and pranayama (P), and their combinations have shown positive changes on those biomarkers among other than COVID-19 patients and healthy people. So, we aimed to document the evidence of possible implication in a systematic way. Materials and Methods. We screened 84 full texts, published in the last ten years, from three databases, from which only 44 met the eligibility criteria, and then extracted the data related to demographic characteristics, intervention, results, and strengths and limitations in two MS-Excel grids, and then presented them in tables and figures. Furthermore, we carried out meta-analysis including subgroup and sensitivity analysis using a random effects model of 11 RCTs and reported the mean difference, heterogeneity, andpvalue with 95% CI and presented them with forest and funnel plots and the tables. Results. Twenty-five biomarkers of 4023 participants (range, 15–413) from 13 countries, healthy and clinical, from both sexes above 18 years, and from mainly clinical settings, were reported. YMP intervention, in solitary or in different possible combinations with varied durations among clinical and pregnant (range, 960–4800 minutes) and healthy (960–8400 minutes, excluding two studies of 20 minutes only) participants, was reported. It was revealed that 25 biomarkers, nine among the apparently healthy, 14 among the patients, and two among the pregnant, changed favourably (p<0.05). Furthermore, either in meta- or subgroup-analysis, mean differences of IL-6 (−1.44 pg/ml) (95% CI) (−2.33, −0.55), (p=0.002, I2 = 82%), Cortisol (−40.75 pg/ml) (95% CI) (−64.13, −17.38), (p=0.0006, I2 = 87%), and TNF-α (−3.40 pg/ml) (95% CI) (−4.83, −1.98), (p<0.0001, I2 = 79%) showed statistically significant changes. Nonetheless, considerable heterogeneity and publication bias were observed among the studies. Conclusion. Although more than two dozens of biomarkers in individual studies showed favourable changes, only IL-6, Cortisol, and TNF-α produced significant combined results, even then with much less certainty. Further meta-analysis of biomarkers of COVID-19 patients is highly recommended. Registration: CRD42021283894.
Bilateral Granulomatous Iridocyclitis Associated with Early-Onset Juvenile Psoriatic Arthritis
Authors: Nieves-Ríos Christian , Requejo Figueroa Guillermo A. , Ayala Rodríguez Sofía C. , Santiago-Díaz Alejandra , Rodriguez-Garcia Eduardo J. , Perez Alejandro L. , Rivera-Grana Erick , Figueroa-Díaz Adriana C. , Martín-García Rafael , Oliver Armando L.
Published: October 2022

Purpose. The purpose of this study is to report on a case of bilateral granulomatous iridocyclitis in a patient with early-onset juvenile psoriatic arthritis (JPsA). Methods. The method used is an observational case report. Observations. A 3-year-old Hispanic girl was sent to our uveitis service for further evaluation of her granulomatous uveitis. The initial ophthalmologic examination revealed bilateral band keratopathy, large mutton-fat keratic precipitates, multiple posterior synechiae, and 4+ anterior chamber cells. The physical exam was notable for left knee edema and right axillary rash. Laboratory testing was remarkable for an erythrocyte sedimentation rate of 80 mm/h, positive antinuclear antibodies (1 : 1, 280), and negative human leukocyte antigen B27. A cutaneous biopsy was obtained, which confirmed the diagnosis of a psoriatic rash. Treatment with oral prednisolone and topical prednisolone acetate with atropine sulfate resulted in the complete resolution of the uveitis. Conclusion and Importance. Bilateral granulomatous iridocyclitis may be a rare presentation of ocular involvement in patients with early-onset JPsA.
Application of Acupoint Catgut Embedding Therapy Combined with Liuzijue Breathing Exercise in the Treatment of Patients with Stable Chronic Obstructive Pulmonary Disease
Authors: Zheng Yun , Xia Jing , Zheng Jisheng
Published: October 2022

Objective. To evaluate the application value of acupoint catgut embedding therapy combined with Liuzijue breathing exercise in the treatment of patients with stable chronic obstructive pulmonary disease (COPD) and its impact on immune function and quality of life. Methods. A total of 100 patients with stable COPD admitted to our hospital from February 2020 to February 2021 were included and assigned to the experimental group (n = 50) and the control group (n = 50) according to the order of admission. Both groups of patients received conventional treatment. The control group was given daily inhalation of budesonide and formoterol fumarate powder for inhalation (320 ug/bottle), and the experimental group received additional acupoint catgut embedding therapy combined with Liuzijue breathing exercise. The clinical efficacy, pulmonary function indexes, activities of daily living (ADL) scores, quality of life (QOL) scores, traditional Chinese medicine (TCM) syndrome scores, the number of acute exacerbations, medical expenses, the incidence of adverse reactions, and immune indicators were compared between the two groups of patients. Results. The experimental group yielded a significantly higher effective rate of treatment than the control group (

P
<
0.05

). After the treatment, the experimental group obtained a superior outcome in terms of lung function indexes, immune function indexes, ADL and QOL scores, and the TCM syndrome scores when compared with the control group (

P
<
0.05

). The number of acute exacerbations in the experimental group was remarkably lower than that in the control group (

P
<
0.05

). No serious adverse reactions were observed in the two groups of patients, and no significant difference in the incidence of adverse reactions was found (

P
>
0.05

). Conclusion. Acupoint catgut embedding therapy combined with Liuzijue breathing exercise, with high safety, can improve the treatment effect and the quality of life of patients with stable COPD, which merits clinical promotion.
Mathematical Model Analysis on the Diffusion of Violence
Authors: Terefe Birhanu Baye
Published: October 2022

Recently, violence has been a very common and serious public health problem in the world. In this new mathematical modeling tactic study, we formulated and examined the firsthand violence mathematical model with five distinct classes of the human population (susceptible, violence-exposed, violence, negotiated, and reconciled). The model takes into account the diffusion of violence and infection. The violence-free and violence-dominance model equilibrium points are calculated, and their local and global stabilities are analyzed. The model threshold values are obtained. As a result of the model analysis, the violence diffusion is under control if the basic reproduction number is less than unity, and it diffuses through the community if this number exceeds unity. Besides, the sensitivity analysis of the parameter values of the basic reproduction number is demonstrated. We have applied the MATLAB ode45 solver to illustrate the numerical results of the model. Finally, from analytical and numerical solutions, we obtain jointly equivalent and consistent results.
[Retracted] Research on Injury Causes and Prevention Effect of College Rowing Athletes Based on Multiple Regression and Residual Algorithm
Authors: Mu Nan
Published: October 2022

Rowing competition in colleges and universities is an international competition, and it is also a favorite competition for college students. However, in the course of rowing competition, the stability of athletes’ injuries often occurs, which is difficult to solve effectively. Aiming at the problem that the loss of athletes in rowing competition in colleges and universities cannot be accurately prevented, this paper puts forward a multiple regression prevention effect model and makes a comprehensive analysis combined with complex reasons. Through the integration of multiple regression and residual analysis, we can better find out the influencing factors, aiming at finding out the causes of athletes’ injuries and putting forward corresponding countermeasures. First of all, analyze the causes of loss, establish a framework of injury prevention for college rowers, and the overall diagnosis framework is reasonable. Then, according to the “University Rowing Prevention and Control Standards” divided into various prevention measures, through the comprehensive prevention and control measure mechanism to get the cause of injury, finally, the optimal combination of various control measures forms a control system. The results of MATLAB show that the combination of multiple regression and residual analysis can improve the accuracy of athletes’ injury prevention and treatment, make the accuracy more than 90%, shorten the diagnosis time less than 10 minutes, and meet the requirements of athletes’ injury diagnosis under normal rowing competition.
Film Effectiveness Downstream the Trenches with Tilted Target Wall
Authors: Yang Fan , Taslim Mohammad E.
Published: October 2022

Film cooling is a commonly-accepted effective way to protect the gas turbine hot sections from the high temperature products of the combustion chamber. Numerous film hole geometries have been the subject of investigation by many researchers over the past three decades with the aim of keeping the target wall under the maximum allowable temperature with the least amount of precious cooling air and minimum aerodynamic losses. In this study, we are proposing a new trench geometry that is fed by 30°-inclined embedded circular film holes entering from the trench sidewall. The cooling jets impinge on the opposite wall of the trench which is tilted towards the jets and then is pushed over the coverage wall by the main flow. Three trench geometries with the same exit area and tilt angles (the angle between the trench side- and top-wall) of 75°, 90°, and 105° degrees are tested for three blowing ratios of 0.5, 0.75, and 1.0, and the film effectiveness results are compared using the adiabatic pressure sensitive paint technique. CFD analyses are also performed using the realizable

k
−
ε

turbulence model with the enhanced wall function option. Major conclusions of this study were that the trench geometry with the trench tilt angle of 75°, corresponding to the smallest trench volume, had the best performance at the lowest blowing ratio, and good agreement was observed between the CFD and test results.
Trusted Data Sharing Mechanism Based on Blockchain and Federated Learning in Space-Air-Ground Integrated Networks
Authors: Li Da , Guo Qinglei , Yang Chao , Yan Han
Published: October 2022

Network data is distributed data on electricity, with the explosive growth of network data, and it has become an inevitable trend of network development to synergized and shared crossdomain scattered data and enhances the value transmission of network data. Federated learning, as a technology that combines data value delivery and data privacy security, is widely concerned in the process of data sharing. However, currently federated learning is used within a single business system. In the process of crossdomain data sharing, how to ensure the data trust, model trust, and result trust of federated learning is still an urgent problem to be solved. To this end, we designed to use blockchain structure to record each behavior of data sharing. Based on its tamper-proof and traceability, combined with cryptography technology, we constructed an endogenous trusted architecture for crossdomain data sharing. In addition, a reverse auction node incentive mechanism based on high credit preference is designed to solve the common problems in data sharing, such as low enthusiasm of users in sharing, unstable data quality of contributions, and unreasonable distribution of data sharing benefits. Through theoretical analysis and experimental verification, it can be seen that the incentive mechanism designed in this paper can meet the authenticity, user rationality, and budget feasibility. On this basis, it can motivate users to participate in data sharing, improve the average quality of data shared by users, and ensure security and trustworthiness and resist malicious attacks to a certain extent.
[Retracted] On the Visual Construction of Environmental Factors in Modern Art Works from the Perspective of Painting Art
Authors: Gong Shanshan
Published: October 2022

Since the twenty‐first century, with the continuous improvement of economic life, people have higher and higher requirements for life at present. Therefore, exploring better environmental art design has become a key concern of many people. This kind of environmental design can rely on the development of modern art in China. By analyzing the atmosphere of environmental factors and visual construction methods in modern art works, it can be integrated into the geographic positioning and map construction of slam in artificial intelligence. After analyzing the flavor of the times and visual construction of modern art, it is believed that SLAM algorithm can be combined with full convolution network FCN and superpixel CRF and can better estimate the position in many dynamic scenes. Therefore, we should explore in different ways, integrate the art culture in modern art works with modern social science and technology, and realize the modernization of environmental art design. It can be seen that the slam system formed by combining with the visual construction of environmental factors in modern art works is more suitable for people’s life at the current stage.
Travelling Wave Analysis of a Diffusive COVID-19 Model
Authors: Wachira C. M. , Lawi G. O. , Omondi L. O.
Published: October 2022

In this paper, a mathematical model based on a system of nonlinear parabolic partial differential equations is developed to investigate the effect of human mobility on the dynamics of coronavirus 2019 (COVID-19) disease. Positivity and boundedness of the model solutions are shown. The existence of the disease-free, the endemic equilibria, and the travelling wave solutions of the model are shown. From the numerical analysis, it is shown that human mobility plays a crucial role in the disease transmission. Therefore, interventions that affect diffusion (human mobility), such as lock-down, travel restrictions, and cessation of movement, may play a significant role in controlling and preventing the spread of COVID-19.
Cyber Security of Smart Metering Infrastructure Using Median Absolute Deviation Methodology
Authors: Prabhakar Priti , Arora Sujata , Khosla Anita , Beniwal Rajender Kumar , Arthur Moses Ndole , Arias-Gonzáles José Luis , Areche Franklin Ore
Published: October 2022

To combat cyber threats in the smart grid, an intrusion detection system can be integrated into the advanced metering infrastructure. Anomaly-based intrusion detection can detect even the tiniest changes in the parameter under investigation, whereas signature-based intrusion detection only recognises known attacks. The growing usage of smart grids necessitates the classification, identification, and implementation of countermeasures to threats. At the absolute least, smart grids must be protected against cyberattacks; thus, the highest level of information security must be offered. As a result of digitisation and the usage of more smart applications, the research looked at a variety of attack types, smart grid assaults, and major cyber threats on the voltage regulation. Machine learning techniques that analyse data in real time and formulate patterns to recognise an attack and scan through huge data for anomalies can be implemented into the advanced metering infrastructure (AMI) for intrusion detection for anomaly-based intrusion detection. The comparative test study done for the research found that the proposed method, median absolute deviation for anomaly identification in smart metering datasets, produced the most accurate and precise differentiations with the highest accuracy and precision. The median absolute deviation (MAD) algorithm model is trained using test data, and raw predictions are made, before true data are used to derive final test result parameters, precision, recall, and F1 scores. The methodology of the entire study is discussed in this paper, as well as how the MAD algorithm is best suited for anomaly-based intrusion detection, as well as result comparisons of other machine learning algorithms.
Pyridine‐N‐Oxide Alkaloids from Allium stipitatum and Their Synthetic Disulfide Analogs as Potential Drug Candidates against Mycobacterium tuberculosis: A Molecular Docking, QSBAR, and ADMET Prediction Approach
Authors: Amengor Cedric Dzidzor Kodjo , Orman Emmanuel , Danquah Cynthia Amaning , Ben Inemesit Okon , Biniyam Prince Danan , Harley Benjamin Kingsley
Published: October 2022

In this study, we consider pyridine‐N‐oxide alkaloids from Allium stipitatum and their synthetic disulfide analogs (PDAs) as candidates for next‐generational antimycobacterial agents, in light of growing resistance to existing conventional therapies. In silico studies involving molecular docking simulations of 12 PDAs were carried out against 7 Mycobacterium tuberculosis target proteins (MTs) to determine their theoretical binding affinities. Compounds A3, A6, and B9 demonstrated stronger binding affinities on similar MTs. Molecular descriptors (MDs) describing structural and physicochemical properties of the compounds were also calculated using ChemDes, explored using Pearson’s correlation analysis, and principal component analysis (PCA) in comparison with MDs from conventional antitubercular medicines. The PDAs possessed similar scores as isoniazid and pyrazinamide. The MDs were also used to conduct a quantitative structure‐binding affinity relationship (QSBAR) study by building good fit and significant models through principal component regression (PCR) and partial least squares regression (PLSR). Leave‐one‐out cross‐validation was adopted in the PLSR, resulting in good predictive models on all MTs (range of R2 = 0.7541‐0.8992; range of Q2 = 0.6183‐0.8162). Both PCR and PLSR models predicted the significant effects of ndonr, Hy, Mol wt, nhev, nring, ndb, Log P, W, Pol, ISIZ, TIAC, Getov, and UI on the binding of ligands to the MTs. In silico prediction of PDAs’ ADMET profiles was conducted with QikProp utility. The ADMET profiles of the compounds were favorable. The outcome of the current study strengthens the significance of these compounds as promising lead candidates for the treatment of multidrug‐resistant tuberculosis.
The Key Technology of Oblique Photogrammetry of Assembled Buildings by UAV
Authors: Yao Jian , Na Jiaming , Ma Rong , Wang Yuyan
Published: October 2022

In order to ensure the disaster control during infrastructure construction and operation, a method of tilt photogrammetry of prefabricated buildings using UAV is proposed. A comparative study of the key steps in the 3D construction process of building (structure) was carried out, and a set of 3D morphology construction method based on UAV tilt photogrammetry was proposed, and the key steps were optimized to realize automation and visualization in the process of model construction. The experimental results show that in the application case of a school district, the error of the three directions is distributed between -4 cm and 4 cm, accounting for 74%, and that between -2 cm and 2 cm, accounting for 37%; the root mean square error of the three directions was calculated to be 4.0 cm, 3.8 cm, and 2.8 cm, respectively. In an engineering application case, the error size of the three directions distributed between -4 cm and 4 cm accounted for 74%, and that between -2 cm and 2 cm accounted for 50%; the root mean square error of the three directions was calculated as 2.3 cm, 2.5 cm, and 3.3 cm, respectively. Conclusion. This method can not only obtain high-precision 3D models of urban complex and single buildings, but also meet the requirements of digital city construction for 3D model construction and obtain clear and high-precision digital land surface model.
Playing with AI to Investigate Human-Computer Interaction Technology and Improving Critical Thinking Skills to Pursue 21st Century Age
Authors: Muthmainnah  , Ibna Seraj Prodhan Mahbub , Oteir Ibrahim
Published: October 2022

As part of the human-computer interaction (HCI) that artificial intelligence has, it has a specific effect on developing critical thinking skills, which is what this study is looking at. The purpose of this study was to determine the impact of AI friend apps on EFoLLe (English foreign language learners) interactions with technology. The primary focus of this paper is on a new artificial intelligence-based immersion teaching method for university-level English. Students’ English proficiency and CT are the primary goals of this course. This study employs mixed methods research design using an online survey and classroom observation. Both quantitative and qualitative data collection and analysis techniques helped researchers to understand deeply. Still, little research was used to look at the survey and how people acted while they were learning how to use AI to improve CT skills. The participants in this paper were polled using an online survey. A total of 453 people participated in the survey. According to the outcomes of the study, AI friends to enhance students’ critical thinking abilities has a positive impact among the participants. Because AI-based instruction promotes students’ trust, self-confidence, open-mindedness, and maturity in English, it can help them improve their critical thinking skills. This is because critical thinking skills are the foundation for 21st-century skills, and AI-based instruction helps students learn these skills. This study helped AI-based instruction because it helps nonnative English students become more trusting, self-confident, open-minded, and mature in English. It also helps them learn the CT skills that are the foundation of critical thinking, so they can learn new skills in the 21stcentury.
Research on the Quality Improvement of Ideological and Political Teaching in the Internet of Things Environment
Authors: Zhang Xiaojing
Published: October 2022

The research of Internet of Things (IOT) network and deep learning has gradually become a hot research topic for academic researchers. As a typical form of IoT networks and deep learning, it is of great significance to study the IOT and ideological and political education. In view of the drawbacks of the ideological and political course, such as boring teaching content and rigid teaching methods, strengthening teaching construction with the help of intelligent teaching assistant system has become the focus of attention in the field of education. The continuous improvement of IOT technology has brought certain changes to people’s society and students’ lifestyle. At present, the teaching aids and systems on the market focus on one aspect of the teaching process, not all aspects of the teaching process. According to the problem that the ideological and political course is a required course but its teaching efficiency is not high, this paper will combine the basic characteristics of the Internet of Things and deep learning to design the ideological and political teaching system, improve the drawbacks of the traditional system with an intelligent system, which will involve the method and calculation method of the edge matching algorithm, so as to improve the efficiency of ideological and political teaching and student learning. In addition, the image feature algorithm (ORB algorithm) is used to process images, and the improved surf feature processing algorithm is combined to explore how to improve the teaching quality of the course with the help of intelligent algorithms. The studies in this paper provide an important guidance to the application of both IoT networks and deep learning.
An Effective and Robust Method for Unauthorized Reader Detection Based on Tag’s Energy
Authors: Cao Ziwen , Xie Jinxing , Wang Siye , Zhang Yanfang , Cui Yue , Jiang Shang , Jin Biao
Published: October 2022

With the rapid development of the Internet of Things, ultra-high frequency (UHF) passive radio frequency identification (RFID) technology plays a vital role in various fields. UHF RFID faces unauthorized access attacks due to its long identification distance. Unauthorized readers can hide within a certain distance and use standard commands to read or modify tags. However, existing methods require additional equipment or are susceptible to environmental influences. In this paper, we make a novel attempt to counterattack unauthorized access. We propose a new method for Unauthorized Reader Detection based on Tag’s Energy, called URDTE, to detect unauthorized readers by observing the energy of the tag. The competitive advantage of URDTE is that it is fully compatible with the RFID standard EPCglobal Gen 2, which makes it more applicable and scalable in practice. Besides, it takes the electrical energy stored in a tag’s resistor-capacitor (RC) circuit as the detection principle, which is robust to environmental changes such as tag position, communication distance, and transmit power. We implement URDTE using commercial off-the-shelf (COTS) RFID devices without requiring firmware or hardware modifications. Extensive experiments show that URDTE can detect unauthorized readers with an accuracy of up to 99%.
CD-ABSE: Attribute-Based Searchable Encryption Scheme Supporting Cross-Domain Sharing on Blockchain
Authors: Guo Kaiyang , Han Yiliang , Wu Riming , Liu Kai
Published: October 2022

The network security situation is grim, and the problem of “information isolated island” is becoming increasingly prominent. In view of the low efficiency and insufficient security of data cross-domain sharing in the open network environment, a searchable data sharing scheme supporting cross-domain is proposed based on attribute encryption technology. Firstly, different types of nodes on the blockchain are used to realize the data sharing of users in different domains. Secondly, the flexible ciphertext-search function is realized through the search form of keyword strategy. Moreover, the scheme adopts the mode of storage under the chain, which reduces the operation pressure of the blockchain. At the same time, according to the characteristics of the blockchain, the traceability and tamper-proof of the access process can be realized. Finally, the analysis shows that the scheme can resist quantum attack and collusive attack while avoiding complex bilinear operation and meet the security of trapdoor search and indistinguishability under chosen-plaintext attack. Compared with other searchable attribute-based encryption schemes, the scheme has certain advantages in function and performance.
In Vitro Antioxidant and Antimicrobial Potency of Mimosa pudica of Nepalese Terai Region: Insight into L-Mimosine as an Antibacterial Agent
Authors: Mandal Ashok Kumar , Pandey Anisha , Sah Ranjit Kumar , Baral Adesh , Sah Phoolgen
Published: October 2022

Aim. The study aimed to evaluate the in vitro antioxidant and antimicrobial potency of Mimosa pudica found wildly in the Terai region of Nepal and assess its physicochemical properties, such as total phenolic content (TPC) and total flavonoid content (TFC). Materials and Methods. The physicochemical properties of ethyl acetate extract of Mimosa pudica (EAMP), such as extractive value, total ash content, loss on drying, and phytochemical screening, were calculated using standard protocols. The TPC was determined by using the Folin–Ciocalteu method taking gallic acid as standard, and TFC was conducted by using the AlCl3 colorimetric method, using a 96-well plate reader. The in vitro antibacterial activity of different concentrations of the extract against four bacterial ATCC strains was determined by the agar well diffusion method in the Mueller Hinton agar (MHA) medium. The in silico molecular docking model was used to ascertain the antibacterial potency of L-mimosine against the selected strains of bacteria used for the in vitro study by calculating the binding affinity towards the protein of bacteria. Results. The preliminary screening of the extract showed the presence of several phytochemicals. The total ash content (7.67%), loss on drying (2.30%), and extractive value (8.966%) were determined by analyzing the crude sample. The total phenolic and flavonoid contents were 418.640 ± 0.018 mg GAE/g (dried extract) and 14.126 ± 0.021 mg QE/g (dried extract), respectively. The extract showed a potent free radical scavenging activity with an IC50 value of 158.95 ± 1.12 µg/mL. The plant extract also demonstrated the antibacterial activity against both Gram-positive bacteria Staphylococcus aureus (15 mm) and Bacillus cereus (22 mm) and Gram-negative bacteria Escherichia coli (17 mm) and Klebsiella pneumoniae (16 mm) at 200 mg/mL concentration of extract. There was a noteworthy binding affinity of antibiotics with almost all selected bacterial proteins with binding energy against Escherichia coli DNA gyrase subunit B (−5.7 kcal/mol), Staphylococcus aureus DNA gyrase subunit B (−6.1 kcal/mol), Bacillus cereus metallothiol transferase (−5.2 kcal/mol), and Klebsiella pneumoniaebeta-lactamase (−6.1 kcal/mole), respectively, with the L-mimosine. Conclusion. The findings of the current study suggest that Mimosa pudica from the Terai region of Nepal is rich in phenolic and flavonoid compounds, has a significant impact on bacterial growth inhibition, and has a notable potential to scavenge free radicals (DPPH). According to the in silico analysis, L-mimosine is a potent antibacterial compound that might be utilised to discover novel antibacterial drugs to combat antibiotic resistance.
Experimental and Numerical Investigation of the Water‐Exit Behaviour of an Inverted T‐Shaped Beam
Authors: Li Xueyi , Zheng Feidong
Published: October 2022

Water‐exit is a hydraulic phenomenon induced when an object exists in a body of water. In the case of ship lifts, the hydrodynamic forces induced by the water‐exit of the chamber’s support beam may result in unsafe and unstable operating conditions and may even cause a loss of structural integrity. In this study, the water‐exit process of a simplified beam was investigated using an experimental–numerical approach. The experimental results revealed that three major stages occur during water‐exit: start‐up, flow‐around, and exit‐moment. Moreover, the maximum additional hydrodynamic load exerted on the beam during water‐exit occurred in the exit‐moment phase. Based on these results, a calibrated numerical method was employed to analyse the main factors affecting the maximum additional hydrodynamic load. The numerical results indicated that the additional load can be accurately predicted using two dimensionless parameters. These results may help evaluate the negative impacts of suction on a ship lift chamber and improve the technical support and operation of ship lifts.
Efficacy and Safety of Convalescence Plasma Therapy in COVID-19 Patients: A Systematic Review and Meta-Analysis
Authors: Dai Rongjuan , Hu Minjie , Tang Haibo , Peng Zhongtian , Yan Cai
Published: October 2022

Background. The coronavirus disease 2019 (COVID-19) has outbroken into a global pandemic. The death rate for hospital patients varied between 11% and 15%. Although COVID-19 is extremely contagious and has a high fatality rate, the amount of knowledge available in the published literature and public sources is rapidly growing. The efficacy of convalescent plasma (CP) therapy for COVID-19 is controversial. Objective. This meta-analysis was designed to assess the efficacy of CP therapy for COVID-19 through a literature survey. Methods. Until August 30, 2021, a literature search was undertaken in Pubmed, Embase, Web of Science, Cochrane Central Register of Controlling Trials (Central), and China National Knowledge Infrastructure databases. The Risk Ratio (RR) and 95% confidence intervals (CIs) were pooled using a fixed or random effect model in dichotomous data. Mean difference (MD) and 95% confidence intervals (CIs) were pooled using a fixed or random effect model in continuous data. Studies with missing or unsuitable data were presented descriptively in the outcomes. Results. In total, thirteen randomized controlled trials (RCTs) were selected for the present meta-analysis, which included a total of 13232 participants. Our results revealed that the CP group has lower mortality compared to the control group, and there was a statistically significant difference (RR: 0.70, 95% CI: 0.55, 0.89, Z = 2.92,

P
=
0.004
<
0.01

); other secondary outcomes such as the shortness of breath symptom improved significantly in CP group (RR:1.48, 95% CI: 1.13, 1.93, Z = 2.85,

P
=
0.004
<
0.01

), as well as Interleukin-6 (IL-6) (MD: −4.46, 95% CI: −8.28, −0.63, Z = 2.28,

P
=
0.02
<
0.05

) and Ferritin (MD: −447.68, 95% CI: −501.75, −393.6, Z = 16.23,

P
<
0.00001

) are reduced significantly in CP group. However, there was no statistically significant change in the ventilator withdrawal rate, imaging results improvement, or days to hospital discharge. There was also no substantial difference in viral nucleic acid negative conversion rate and neutralizing antibody-positive conversion rate, as well as the incidence of adverse reactions. Conclusions. The safety and potential efficacy of convalescent plasma therapy offer a promising treatment strategy for COVID-19. CP therapy can reduce mortality and improve breath and inflammatory cytokines IL-6 and Ferritin in COVID-19 with no significant increase in adverse reactions. However, it does not affect improving virology indicators. In summary, more high-quality clinical trials are needed to verify the conclusion of the present study.
SoDa: A Serverless-Oriented Deadline-Aware Workflow Scheduling Engine for IoT Applications in Edge Clouds
Authors: Li Dazhi , Duan Jiaang , Yao Yan , Qian Shiyou , Zhou Jie , Xue Guangtao , Cao Jian
Published: October 2022

As a coordination tool, workflow with a large number of interdependent tasks has increasingly become a new paradigm for orchestrating computationally intensive tasks in large-scale and complex Internet of Things (IoT) applications. Serverless computing has also recently been applied to real-world problems at the network edge as well, primarily aimed at event based IoT applications. However, the existing workflow scheduling algorithm based on the virtual machine resource model is inefficient in ensuring the QoS (Quality of Service) of users on the serverless platform. In this paper, we design an elastic workflow scheduling framework in edge clouds called EWSF based on the serverless architecture. In addition, we propose a serverless-oriented deadline-aware workflow scheduling algorithm called SoDa. Furthermore, we implemented the EWSF prototype based on Knative and Kubernetes and integrated SoDa as the scheduling engine. The performance of SoDa has been verified on the experimental platform in comparison with six counterparts. The experiment results show that SoDa adapts to various scheduling environments and achieves better performance in terms of overall makespan and execution success rate. In the case of tight cluster resources, SoDa improves the overall makespan and success rate by 10.4% and 55%, respectively, compared with the second-best algorithm.
FPGA-Based Real-Time Embedded Fish Embryo Detection System
Authors: Wang Mengqi , Feng Guofu , Chen Ming , Ye Ruijuan , Wang Yaohui
Published: October 2022

In today’s aquaculture industry, the period of fish embryos needs to be detected in real time because different periods of fish embryos require different environments for their cultivation. The paper proposes an FPGA-based real-time embedded fish embryo detection system to solve the problems of today’s fish embryo period detection, which consumes a lot of human resources and has low accuracy. Based on the selection of YOLOv3 as the basic model, this paper combines model optimization and hardware acceleration to make the whole system achieve the effect of real-time detection. With only a 4.23% reduction in the mAP value of the model, the inference speed of the model was improved by nearly 150%. Finally, we achieved 34.1 fps of real-time fish embryo detection on a 100 MHz FPGA chip, while having 82.49% mAP, and the whole embedded system only consumed 2.524w while running. The results show that the FPGA-based real-time fish embryo detection system proposed in this paper is fully capable of meeting the needs of today’s aquaculture embedded devices. It is beneficial to promote the transformation of fish embryo analysis from traditional manual methods to AI-based embedded devices and facilitate the rapid analysis of fish embryos.
Accuracy of Focused Assessment with Sonography for Trauma (FAST) in Blunt Abdominal Trauma
Authors: Kim Tae Ah , Kwon Junsik , Kang Byung Hee
Published: October 2022

Purpose. This study aimed to evaluate the accuracy and outcomes of focused assessment with sonography for trauma (FAST) and determine the factors associated with true-positive FAST results. Methods. The FAST results from 2016 to 2020 were retrospectively reviewed. Cases involving penetrating injury, transfer from other hospitals, age ≤ 16 years, prehospital arrest, and no confirmatory test were excluded. Intra-abdominal fluid was confirmed using computed tomography or operative findings. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. Demographic data, injury characteristics, and outcomes were compared between true-positive and false-negative results. Logistic regression was used to identify the factors associated with true-positive results. Results. Of 2,758 patients, 163 and 2,595 patients showed positive and negative results, respectively. True positives were 135 and true negatives were 2325. The overall sensitivity, specificity, PPV, and NPV were 33.3%, 98.8%, 82.8%, and 89.6%, respectively. The sensitivity increased to 49.1% in patients with initial systolic blood pressure (SBP) ≤ 90 mmHg. The true-positive group showed a lower SBP and Glasgow Coma Scale score and a higher laparotomy rate than the false-negative group. However, mortality showed no significant difference. In logistic regression analysis, hollow viscus injury (1.820 [1.123–2.949],

P
=
0.015

) and the lowest SBP (0.988 [0.980–0.997],

P
=
0.009

) were associated with true-positive results compared to false-negative results. Conclusion. The overall sensitivity of FAST was low; therefore, it should be performed in selected patients such as SBP ≤ 90 mmHg. Because of its low sensitivity and no influence on outcome, physicians should not rely solely on FAST.