bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation on the Use of Virtual Reality in the Flipped Teaching of Martial Arts Taijiquan Based on Deep Learning and Big Data Analytics
Authors: HanLiang Zhang , LiNa Zhang
Published: October 2022

Flipping classroom teaching of martial arts “Taijiquan” is a contemporary teaching method that primarily uses information technology tools to accomplish the natural fusion of information technology and education and teaching. Digital teaching materials influence the conventional classroom. The conventional teaching approach of teacher instruction and student learning is no longer satisfactory to students. Virtual reality (VR) technology and physical education integration and development have currently emerged as a new trend, but research on its application to martial arts is still in its theoretical stages and lacks concrete application countermeasures and schemes, necessitating further investigation and study. This paper intends to investigate the use of virtual reality technology in martial arts education. The architecture of virtual reality based on the deep learning algorithm is suggested. The student dataset is collected, and they are split into two groups: control and study groups. Traditional teaching is provided to the control group, and deep learning-based VR-assisted teaching is provided to the study group using the Deep Binary Hashed Convolutional Neural Network (DBH-CNN). Statistical analysis is done using Student’st-test, logistic regression analysis, and analysis of variance (ANOVA). According to the study findings, the majority of students see virtual reality technology-assisted martial arts education favorably, and their passion for studying martial arts has greatly increased.
An Ornstein–Uhlenbeck Model with the Stochastic Volatility Process and Tempered Stable Process for VIX Option Pricing
Authors: Yan Yutong , Zhang Wei , Yin Yahua , Huo Weidong
Published: October 2022

To effectively fit the dynamics and structure of frequent small jumps and sparse large jumps in the VIX time series, we introduce the tempered stable process (the CTS process and CGMY process) into the Ornstein–Uhlenbeck (OU) stochastic volatility model to build an OU model with the stochastic volatility process and tempered stable process. Based on two different assumptions for the underlying assets, we derive the formula of pricing models via two methods. Empirical studies are conducted to prove that our pricing models have a better performance in matching the VIX options. Furthermore, we find that the pricing model via the infinitesimal value method yields better results than pricing models with a measure of change. Overall, our proposed models enrich the derivative pricing theory and help investors understand and hedge risks.
Developing Machine Learning Techniques to Investigate the Impact of Air Quality Indices on Tadawul Exchange Index
Authors: AL-Najjar Dania , AL-Najjar Hazem , Al-Rousan Nadia , Assous Hamzeh F.
Published: October 2022

The air quality index (AQI) can be described using different pollutant indices. Many investigators study the effect of stock prices and air quality in the field to show if there is a relationship between changing the stock market and the concentration of various pollutants. This study aims to find a relationship between Saudi Tadawul All Share Index (TASI) and multiple pollutants, including particulate matter (PM10), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), and AQI. Based on tree models, the relationship is created using linear regression and two prediction models, Chi‐square Automatic Interaction Detection (CHAID), and CR‐Tree. In order to achieve the target of this research, the TASI dataset relates to six pollutants using time; afterward, the new dataset is divided into three parts—test, validate, and train—after eliminating the outlier data. In order to test the performance of two prediction models, R2 and various error functions are used. The linear regression model results found that PM10, NO2, CO, month, day, and year are significant, whereas O3, SO2, and AQI indices are insignificant. The test dataset showed that R2 scores are 0.995 and 0.986 for CR‐Tree and CHAID, respectively, with RMSE values of 387 and 227 for CR‐Tree and CHAID, respectively. The prediction models showed that the CHAID model performed better than CR‐Tree because it used only three indices, namely, PM10, AQI, and O3, with year and month. The results indicated an effect between changing TASI and the three pollutants, PM10, AQI, and O3.
A Two-Stage Method of Dimensioning and Scheduling Service Providers under Patient Demand Uncertainty
Authors: Shirneshan Hajar , Sadegheih Ahmad , Hoseini Nasab Hasan , Lotfi Mohammad Mehdi
Published: October 2022

Many researchers have studied the problem of dimensioning service providers and making shift schedules and have proposed various methods to solve it. Considering the importance and complexity of health care, this research is conducted through the integrated dimensioning and scheduling of service providers under patient demand uncertainty. In the first stage, a robust approach is adopted to determine the minimum number of required service providers. In the second stage, a monthly schedule is devised for service providers, and a two-stage stochastic program is used to solve the problem. To this end, an improved sample average approximation method considers different contracts and skills to determine a near-optimal schedule by minimizing the service providers’ regular working hours, overtime, and penalties for idle hours. In the first stage, considering the highest level of conservatism, equal to 7.6, a 19.38% cost increase is created compared to the nominal problem. In the second stage, by applying different clustering methods in the SAA algorithm and comparing them, the k-means++ algorithm obtains a good upper and lower bound and achieves a near-optimal solution in the shortest time. This research deals with the Iranian Health Control Center as a case study. The proposed method can yield the appropriate number of service providers based on monthly workloads and make the least undesirable schedules for service providers. Hence, managers can overcome patient issues’ uncertainty by assigning various service providers to each scheduling period.
Membrane Bound CRT Fragment Accelerates Tumor Growth of Melanoma B16 Cell In Vivo through Promoting M2 Polarization via TLR4
Authors: Wang Hong-Min , Zhou Zhe , Miao Jie , Zhu Bo , Dai Xiao-Qiu , Zhong Qiao , Gong Fang-Yuan , Gao Xiao-Ming
Published: October 2022

Calreticulin (CRT) is a major calcium-binding luminal resident protein on the endoplasmic reticulum that can also be released extracellular as well as anchored on surface of cells. Previously, we demonstrated that soluble recombinant CRT fragment 39-272 (CRT/39-272) exhibited potent immunostimulatory effects as well as immunoregulation effects on immune cells. Here, we constructed stable B16 melanoma cell lines expressing recombinant CRT/39-272 on the membrane (B16-tmCRT/39-272) to investigate the roles of cell surface CRT on tumor progression. We found that B16-tmCRT/39-272 cells subcutaneously inoculated into C57BL/6 mice exhibited stronger tumorigenicity than the B16-EGFP control cells. The tumor associated macrophages infiltrated in tumors were mainly M2 phenotype. Regulatory T cells (Tregs) were also expanded more in bearing mice. Consistent with the in vivo results, B16-tmCRT/39-272 promoted macrophage polarization toward F4/80+CD206+ M2 macrophages and promoted transforming growth factor beta (TGF-β) secretion in vitro, which could promote naïve CD4+T cell differentiation into Tregs. These results imply that the tmCRT/39-272 could accelerate tumor development by enhancing M2 macrophage polarization to induce TGF-β secretion, and then promoted Treg differentiation in the tumor microenvironment. Our data may provide useful clues for better understanding of the potentiating roles of CRT in tumorigenesis.
Corresponding Intelligent Calculation of the Whole Process of Building Civil Engineering Structure Based on Deep Learning
Authors: Liu Qian , Liu Tao , Zhang Weikang , Zhang Fang
Published: October 2022

This study proposes the first fully deep learning-based structural response intelligent computing framework for civil engineering. For the first time, from the data side to the model side, the structural information of the structure itself and any loading system is comprehensively considered, which can be applied to materials, components, and even structures, system and other multi-level mechanical response prediction problems. First, according to the characteristics of structural calculation scenarios, a unified data interface mode for structural static characteristics is formulated, which preserves the original structural information input and effectively reduces manual intervention. On this basis, an attention mechanism and a deep cross network are introduced, and a structural static feature representation learning model PADCN is proposed, which can take into account the memory and generalization of structural static features, and mine the coupling relationship of different structural information. Then, the PADCN model is integrated with the dynamic feature prediction model Mechformer and connected with the designed general data interface to form an end-to-end data-driven structural response intelligent computing framework. In order to verify the validity of the framework, numerical experiments were carried out with the steel plate shear wall structure as the carrier, in which a data augmentation algorithm suitable for the field of structural calculation was proposed to alleviate the problem of lack of structural engineering data. The results show that the deep learning model based on this framework successfully predicts the whole-process nonlinear response of specimens with different structures, the simulation accuracy is better than that of the fine finite element model, and the computational efficiency exceeds the traditional numerical method by more than 1000 times, achieving a qualitative improvement. It is proven that the intelligent computing framework has excellent accuracy and efficiency.
Notes on Relative Extension Functors
Authors: QingBing Xu , Liu Yang , Munir Mohammad , Youssefi Ayoub
Published: October 2022

The objective of this paper is to study the relative homological properties of contravariantly and covariantly finite subcategories. Some sufficient conditions for are obtained. We also give the conditions under which the stable categories are one‐side triangulated categories.
Investigation of Interfacial Bonding Properties of Polyurethane Concrete and Cement Concrete/Steel Reinforcement
Authors: Wang Yanqi , Sun Quansheng , Ding Hongjian , Leng Songbai , Cui Hongchuan , Xu Bowen , Cui Hewei
Published: October 2022

To solve the problem that the repair material of the bridge's expansion joint anchorage area is prone to debonding from the other bridge components, polyurethane concrete was designed and prepared, and the bonding performance of polyurethane concrete was tested by the bond splitting test, bond direct shear test, bond oblique shear test, and steel reinforcement pull-out test. The results show that the interfacial bond strength of polyurethane concrete and cement concrete can be improved by increasing the interfacial roughness. The bond splitting strength increases by up to 91.4%, the bond direct shear strength increases by up to 55.2%, and the bond oblique shear strength increases by up to 28.9%. The bond strength between polyurethane concrete and cement concrete are minimally influenced by temperature. An increase in the diameter of the reinforcement or the length of the bonded anchorage can increase the ultimate pull-out strength of the polyurethane concrete and the steel reinforcement. Polyurethane concrete is a novel composite material with excellent bonding performance with cement concrete and steel reinforcement, which can be widely used in practical projects, such as repairing bridge expansion joint anchorage areas in the future.
Classroom Teaching Design of Alpine Skiing Based on Virtual Reality Technology
Authors: Lin Jiandong
Published: October 2022

Due to the limitation of venues for seasonal projects, it is a great challenge for students to adapt and maintain their sports status in non-snow seasons. Therefore, it is very important to do well in the non-snow season Lu-snow conversion training. At this stage, when the school formulates the teaching work plan for the school year, due to the limitation of the venue, the non-snow season Lu-snow conversion training is mainly based on physical training, while special skills training is supplemented, and there are problems such as poor teaching effect, insufficient teaching methods, and single practice means. At the same time, due to the reduction or even suspension of technical movement training in non-snow seasons, the teaching of alpine skiing lacks continuity and systematicity, which affects teaching effect. With the application of virtual reality technology in alpine skiing courses, this study conducts experimental research on the teaching and training effects in non-snow seasons, demonstrates the advantages of virtual reality technology in alpine skiing teaching and training, and optimizes the conversion of alpine skiing between land and snow in non-snow seasons.
Phytochemical Compounds, Antioxidant, and Digestive Enzymes Inhibitory Activities of Different Fractions from Ginkgo biloba L. Nut Shells
Authors: Liu Luo , Shang Yiyi , Zhang Yan , Pang Mingjie
Published: October 2022

This study was designed to investigate the phytochemical compounds, antioxidant, and digestive enzymes inhibitory activities of the free (F), esterified (E), and insoluble-bound (IB) fractions from Ginkgo biloba L. nut shells. Results showed that a total of twelve compounds were detected in G. biloba nut shells by using UHPLC-ESI-HRMS/MS, including two kinds of organic acids, three kinds of phenolic acids, three kinds of flavonoids, and four kinds of terpene lactones. The F fraction contained all identified compounds and had the highest contents of the total phenolics and total flavonoids. All of the three different fractions exhibited good DPPH radical and ABTS radical cation scavenging activities and strong inhibitory effects on the generation of intracellular reactive oxygen species (ROS). Moreover, these three fractions also had good inhibitory effects towards α-glucosidase and pancreatic lipase. Among the three fractions, the F fraction possessed the strongest bioactivities. The findings obtained in the current study may provide some insights and bases for the further investigation and application of G. biloba nut shells in clinical medicine or the nutraceutical industry.
Eye Gaze Estimation Based on Stacked Hourglass Neural Network for Aircraft Helmet Aiming
Authors: Qiu Quanlong , Zhu Jie , Gou Chao , Li Mengtang
Published: October 2022

Helmet-mounted display (HMD) systems allow aircraft pilots to aim at targets by using head postures. However, the direct use of helmet orientation to indicate the aiming direction ignores human eye movements, which are more flexible and efficient for interaction. Since the opaqueness of the helmet goggle blocks the sight of external cameras to capture facial or eye images of the pilots, and traditional eye feature extraction methods may fail when encountering conditions such as poor lighting, occlusion, and shaking, which are common on fighter aircrafts. In this work, an eye gaze based aiming solution that adapts to pilots wearing HMDs is proposed, and a deep learning-based method is proposed to extract eye features robustly. The prototype experiments demonstrate the ability to pick and aim at targets in real-time (60FPS) and are capable to accurately locate the target markers on a screen with an average error of fewer than 2 degrees. Conclusively, the proposed method performs the tasks of eye feature extraction on real-person imagery and the estimation of the 3D aiming direction for users with helmets, displaying competitive results with similar research.
Production Step-Up of an Oil Well through Nodal Analysis
Authors: Kamga Ngankam Ricardo Michael , Dongmo Eric Donald , Nitcheu Madeleine , Matateyou Josephine Fleur , Kuiatse Gabriel , Takougang Kingni Sifeu
Published: October 2022

A nodal analysis technique is used in this paper to optimize the production of oil in the well “X-3” located in the Rio del Rey basin. Several wells in that basin are facing a low productivity problem. That problem represents the key problem of this paper. The goals of this paper are to quantify the effects of four parameters (tubing size, flowline size, wellhead pressure, and skin) on production; to determine the causes of abnormally reduced productivity; and to choose optimal values to enhance the well flow rate. To achieve these goals, it is necessary to use well pressure volume temperature (PVT) and reservoir data and the nodal analysis technique. The nodal analysis method is applied at two main node points (wellbore and wellhead), where inflow and outflow performances are carefully reviewed with sensitivity analysis. The two nodal points are selected because of the high-pressure drops they observe. The analysis results showed that the selection of some wrong equipment diameters (production tubing and surface flowline) and values (wellhead pressure and skin) strongly influenced (badly) the flow rate. In fact, the increase in tubing and flowline diameters positively influenced the flow velocity, while the diminution in the wellhead pressure increased the flow rate as well. The production of the well increased from about 800 to 1000 barrels per day. Although nodal analysis remains an effective method to determine the causes of low productivity, it is limited compared to transient tests and production logging.
Study on Cascading Failure and Elasticity of UAV Swarm Communication Network
Authors: Feng Boyu , Zhou Lin , Zhang Zhihao
Published: October 2022

As an important new force in information warfare, the UAV swarm has attracted more and more attention from militarists and scholars of various countries. At present, large-scale and low-cost UAV swarms have been gradually applied to reconnaissance operations. The invulnerability and elasticity of its communication network are the key factors that determine whether the swarm can successfully complete the reconnaissance mission. The research object of this study is the UAV swarm communication network, which performs reconnaissance missions. The swarm network is extracted as a three-layer interdependent network model. We apply scale-free network theory and the new connection probability equation to establish three subnetworks. Then, a three-layer interdependent network is constructed by using the interlayer connection rules of the nodes with the largest degree. The classical M-L model is extended to an interdependent network. An interlayer load redistribution rule is proposed to simulate the cascading failure process of swarm networks. Then, we attack network nodes randomly and observe the invulnerability and elasticity of this network. The simulation results show that the performance of the interdependent network is better than that of the single-layer network due to the effect of the interdependent links. By analyzing the experimental results, some feasible suggestions are put forward to improve the invulnerability and elasticity of reconnaissance UAV swarm communication network.
Research on the Control Method of Force Servo System of Liquid Hydrostatic Guide Oil Film Thickness Test Bench for Machine Tools
Authors: Fang Xu , Wang Youmin , Zhu Bo
Published: October 2022

The test bench was designed to solve the problem of measuring the oil film thickness of the liquid hydrostatic guideway of machine tools. And based on the fast overshoot of the classical PID control, introducing the self-antidisturbance control algorithm, this study established a mathematical model of the test bench electro-hydraulic servo control system. At the same time, this paper also designed a specific structure of the self-turbulence controller, which adopts optimal quadratic control, pole configuration, PID control, and self-turbulence control to study the control methods of the test bench electro-hydraulic servo system, respectively, and uses the SIMULINK module to establish the system simulation model of the above-mentioned four control methods of the test bench. Simulation results of the test bench control system show that the response speed of the self-turbulence control is 0.4 seconds, 0.2 seconds, and 4.4 seconds faster than PID control, pole configuration, and optimal quadratic control, respectively, and the overshoot is significantly reduced. Finally, the test bench was built to complete the experiments, and the experimental results showed that the followability of the loading force and thickness detection accuracy of the test bench were better after adding the self-turbulence control algorithm and the stability of the oil film thickness was significantly improved by the test bench electro-hydraulic servo control system.
Application of Big Data Analysis in Cost Control of Marine Fishery Breeding
Authors: Gu Yunsong
Published: October 2022

In order to improve the stability of the cost control of marine fishery culture, a method of controlling the cost of marine fishery culture based on big data analysis algorithm was proposed. We establish the cost analysis model of marine fishery, use the big data correlation analysis method to conduct distributed mining on the cost characteristics of marine fishery, deeply grasp the relevance of data characteristics, use the information fusion method to build the constraint parameter analysis model of aquaculture cost operation, limit the amount of calculation, and use the adaptive neural network weighted training method to adaptively optimize the cost control to avoid falling into local optimization. The objective model of aquaculture cost control is established, and the cost constraint is carried out by the parameter optimization method. The statistical feature quantity of marine fishery cost control is obtained, and the cost control of marine fishery is realized by the feature recombination method. The simulation results show that this method is more stable in the cost control of marine fishery culture and improves the adaptability of the cost control of marine fishery culture.
Prediction and Industrial Structure Analysis of Local GDP Economy Based on Machine Learning
Authors: Jiang Zhiqiang
Published: October 2022

The process of regional economic growth is a long-term evolutionary law. During this long evolutionary process, some regions may continue to grow, while others may fall into decline. It takes a long time. For example, from the perspective of our country’s regional economic growth since the turn of the century, the east coast has been in a relatively developed state, while the economy of some western regions is relatively backward. Therefore, how to promote the long-term growth of developed regions and revitalize the troubled regional economy by studying the long-term growth mechanism of the regional economy is an important topic of regional economic research. In this context, we can draw the following conclusions. (1) The employment structure of major industries has been declining year by year since 2000, and this trend is relatively obvious and the decline is relatively large. Despite some changes in industrial growth, the overall trend is upward. The employment structure of the service industry has increased year by year, and its proportion in total employment usually exceeds that of major industries, and it is the industry with the largest number of employees. (2) The accuracy under the machine learning model is 79.46%, the reliability is 89.27%, and it is feasible; the accuracy under the data mining model is 68.45%, the reliability is 75.43%, and the feasibility is 86.18%; the accuracy rate under the traditional statistical model is 60.14%, the feasibility is 68.24%, and the reliability is 75.12%. GDP not only is the core indicator of national economic accounting but also can be used to measure the economic status and development level of a country or region. The impact of industrial structure on GDP is huge, and a suitable industrial structure can promote a healthier growth of GDP. In order to analyze the relationship between our country’s GDP and industrial structure, the quantitative analysis method of grey correlation analysis is used to study it, and then according to the calculation results, suggestions for adjusting and optimizing the industrial structure will be put forward to the relevant ministries.
Application Research and Case Analysis of Landscape Design in Artificial Intelligence Platform
Authors: Cao Yunxia
Published: October 2022

Modern landscape greening plays an important role in the construction of modern cities and plays a positive role in improving the natural environment of cities and building a good image of cities. With the continuous progress of society and technology, human’s understanding of artificial intelligence is deepening, and intelligent technology is gradually integrated into all aspects of life. Because media technology has rich design elements and can carry out rich design structures, it will be more intuitive to use multimedia means for garden landscape design. Therefore, for meeting people’s requirements for the diversification of modern urban gardening construction, this study makes a deep analysis of the current status and problems of landscape design and tries to study the effective application methods of artificial intelligence technology in landscape design, to promote the combination of landscape design and artificial intelligence design. At the same time, the combination of AI lighting planning, AI water landscape planning, AI sprinkler planning, and AI paving planning is used to illustrate the application of AI in the specific project design of landscape design. The use of artificial intelligence not only promotes the innovation and optimization of landscape design, but also ensures the quality of modern landscape design and effectively improves the efficiency of modern landscape design.
Prognostic Value of GIMAP4 and Its Role in Promoting Immune Cell Infiltration into Tumor Microenvironment of Lung Adenocarcinoma
Authors: Chen Siyuan , Tian Dong , Petersen Lauren , Cao Shuchang , Quinn Zachary , Kan Junyan , Zheng Mingfeng , Mao Wenjun , Wan Yuan
Published: October 2022

GIMAPs are recognized as an important regulator in the carcinogenesis and development of lung cancer, but the function of GIMAP4 in the tumor microenvironment (TME) of lung cancers is unclear. In this study, we investigated the expression and variation of GIMAP4 in lung adenocarcinoma (LUAD), to explore its association with infiltration of immune cells. The Cancer Genome Atlas (TCGA) data and Gene Expression Omnibus (GEO) data were analyzed. Infiltration of immune cells was identified with TIMER (Tumor Immune Estimation Resource) and TISIDB (an integrated repository portal for tumor‐immune system interactions). GIMAP4 expression declined in non‐small‐cell lung cancer (NSCLC), correlated with a poor overall survival (OS) in LUAD, indicating that GIMAP4 was a promising prognostic biomarker in LUAD. GIMAP4 mutation frequency was 1.76% in TCGA cohort and was relevant to the expression of immune components. TIMER and CIBERSORT analysis further confirmed that high GIMAP4 expression possibly promoted immune cell infiltration into the TME, with low GIMAP4 impairing the efficacy of immunotherapies targeting common immune check point inhibitors (ICI). GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) analyses were performed to provide insights into biological processes involved in LUAD. GIMAP4 was expected to be a prognostic biomarker in LUAD and provides potential adjuvant or neoadjuvant therapeutic strategies for targeting ICIs.
Influence of Voice Interactive Educational Robot Combined with Artificial Intelligence for the Development of Adolescents
Authors: Zhang Yadong , Wang Hongkai
Published: October 2022

In the context of multicultural information, to explore and analyze the use effect of voice interactive educational robot in the classroom of adolescent students, and the physical and mental impact of movie characters on adolescent students, and to lay the foundation for studying the positive development of adolescents, under the guidance of positive psychology theory, the relationship between positive psychology and adolescent mental health is analyzed, the application of adolescent educational robot is discussed, and the relationship between adolescent educational robot combined with movies characters and positive development of adolescent is analyzed. The questionnaire is used to collect data, including the questionnaire on the influence of movie characters on the positive development of adolescents, the questionnaire of pre- and postpopularization of artificial intelligence in primary and secondary schools, and the satisfaction questionnaire of voice interactive educational robot. The reliability and validity of the questionnaire are analyzed. The results show that students who watch more than 20 movies are 20% in grade one and that is only 10% in grade three. 79% of the students think that the movie characters have an impact on themselves. The distribution of the number of the grade two students exposed to the movie is relatively uniform, 40% of them watch 10-20 movies, and 82% of them think that the movie characters have an impact on themselves; the Cronbach coefficient of classroom satisfaction questionnaire is 0.929 > 0.9, the average value of the correlation of total correction items of the corresponding item is 0.612 > 0.5, the Kaiser–Meyer–Olkin measurement value is 0.812 > 0.6, and the Sig value is 0.000 < 0.05, indicating that the reliability and validity of the questionnaire are very high and 92.3% of the students are very satisfied with the classroom. This shows that voice interactive educational robot combined with movie characters can promote the positive development of adolescents.
δω‐Continuity and some Results on δω‐Closure Operator
Authors: Singh Manjeet , Gupta Asha , Singh Kushal
Published: October 2022

Al‐Jarrah et al. defined a new topological operator, namely, δω‐closure operator, and proved that it lies between the δ‐closure operator and the usual closure operator. Al‐Ghour et al. defined θω‐closure operator and discussed its properties. In this paper, it is proved that the δω‐closure operator lies between the θω‐closure operator and the usual closure operator. Also, sufficient conditions are given for the equivalence between the δω‐closure operator and the θω‐closure operator. Moreover, we define three new types of continuity, namely, δω‐continuity, ω‐δ‐continuity, and almost δω‐continuity, and discuss their properties. It is proved that the concepts of usual continuity and δω‐continuity are independent of each other. In addition, the relationships between different types of continuity have been investigated. Further, some examples and counter examples are given.
Exploring the Entrepreneurship Training Mode of Medical Students in Beijing-Tianjin-Hebei Universities under the Strategic Background of “Healthy China” from the Perspective of Mixed Big Data
Authors: Gong Li , Wang Chao , Bai Jiangtao
Published: October 2022

In order to solve the problem that postgraduates are affected by the traditional concept of career choice of the native family and their entrepreneurial intention is obviously low, a method to explore the entrepreneurial spirit training model of medical students in Beijing-Tianjin-Hebei colleges and universities from the perspective of mixed big data is proposed. This article chooses to conduct research by conducting a survey on the entrepreneurial willingness of postgraduates in universities in the Beijing-Tianjin-Hebei and its influencing factors. From the perspective of master students from five universities in the Beijing-Tianjin-Hebei region, the selection of personal background information, entrepreneurial attitude, subjective norms, perceived behavior control, and entrepreneurship education index factors establish the index system of the influencing factors of graduate students’ entrepreneurial intention and use the TPB theoretical model and SPSS data statistics and other tools to analyze the obtained data results. The results show that gender, major, place of origin, part-time experience, and entrepreneurial experience of relatives and friends correspond to 0.000, 0.000, 0.482, 0.172, 0.003, and 0.004, respectively. It can be seen that the independent variables, major and place of origin, have no statistical significance. In the statistics of college students’ willingness to start a business, 23.33% of the students said “nothing at all,” and 27.8% of the students said “thought, but would not start a business.” It can be seen that entrepreneurial attitude, subjective norm, and perceived behavioral control all positively affect entrepreneurial willingness, and only learning ability, opportunity grasping ability, self-recognition ability, and decisiveness have a significant effect on entrepreneurial willingness.
SOX8 Knockdown Overcomes Enzalutamide Resistance in Castration‐Resistant Prostate Cancer by Inhibiting the Notch Signaling Pathway
Authors: Du Zhongbo , Chen Xiaobin , Zhu Pingyu , Sun Wei , Lv Qi , Cheng Shulin , Yang Xuesong , Yu Xiaodong
Published: October 2022

Castration‐resistant prostate cancer (CRPC) is still challenging to treat. Dissatisfaction with androgen signal‐targeted therapy forces people to look for other treatment strategies. Therefore, this study is aimed at exploring the role of SOX8/Notch signaling in CRPC. The upregulation of SOX8, Notch4, and Hes5 indicated a poor progression‐free survival (PFS) in CRPC patients. The expression of these proteins was also upregulated in enzalutamide‐resistant LNCaP cells (Enza‐R). Moreover, knocking down SOX8 inhibited malignant biological behaviors and decreased the activation of Notch signaling in Enza‐R cells. Importantly, knocking down SOX8 obviously reversed the enzalutamide resistance in Enza‐R cells, while RO0429097 (a γ secretase inhibitor inactivates Notch signaling) exerted similar effects. At last, we found that both SOX8 knockdown and/or RO0429097 suppressed tumor growth and bone metastasis in vivo. Altogether, our study indicated that the SOX8/Notch signaling is involved in CRPC and that these enzymes are possible targets to develop novel treatment for CRPC.
Application of Computer Vision in Intelligent Manufacturing under the Background of 5G Wireless Communication and Industry 4.0
Authors: Li Yan
Published: October 2022

With the development of 5G wireless communications and the arrival of Industry 4.0, computer vision has further penetrated the manufacturing sector. This paper makes a comprehensive study on the field of intelligent manufacturing. By constructing a model analysis method, the current situation of computer vision intelligent manufacturing under the background of 5G wireless communication and industry 4.0 is comprehensively analyzed. It is found that today 's computer vision technology is developing rapidly, while the Industry 4.0 stage and 5G communication technology have helped the field of intelligent manufacturing. At the same time, the author deeply analyzes the characteristics of intelligent manufacturing enterprises supported by computer vision and finds that it has the problem of unbalanced distribution of enterprises. After that, the author demonstrates the application of computer vision re-intelligent manufacturing from multiple dimensions. The application of computational optimization methods provides more diverse and comprehensive algorithms for labor saving and resource utilization improvement. Computer vision technology drives and promotes the development of intelligent applications and promotes a more comprehensive development of intelligent manufacturing.
Detection of Radiolabeled Inflammatory Cell Macrophage Subpopulations in Chronic Respiratory Diseases: Results from Preliminary Analyses
Authors: Shaik Abjal Pasha , Shaik Asma Sultana , Abudawood Manal , Al Faraj Achraf
Published: October 2022

Chronic respiratory diseases (CRDs) like asthma and chronic obstructive pulmonary disease (COPD) are the leading causes of morbidity and mortality worldwide. Alveolar macrophages (AM) are immune cells that exist in different polarization states/phenotypes and have been shown to play a critical role during an inflammatory process. In this paper, differently polarized mouse bone marrow‐derived macrophages (BMDM (M1‐proinflammatory or M2‐immunomodulator)) were radiolabeled with either 99mTc‐D,L‐hexamethylene‐propyleneamine oxime (99mTc‐HMPAO), 2‐deoxy‐2‐[18F] fluoro‐D‐glucose (18F‐FDG), or 67Ga‐citrate. Biocompatibility and in vivo biodistribution of radionuclide‐labeled macrophages after intravenous injection were evaluated. Radioactivity measurements were performed using Packard Cobra Quantum 5002 Gamma Counter. Both M1 and M2 macrophages showed a higher uptake for 18F‐FDG and 99mTc‐HMPAO, than 67Ga‐citrate. M2 macrophages showed a higher uptake of radionuclides than M1 macrophages. The used radionuclides were biocompatible for both M1 and M2 macrophages. At 2‐hour postinjection, 18F‐FDG‐labeled M1 and M2 macrophages were found significantly higher in the lung of inflammatory animals (12.54 ± 1.58% and 14.13 ± 1.03%, respectively) than in control mice. Labeling macrophages with either 18F‐FDG or 99mTc‐HMPAO did not affect their biodistribution. The results from these initial experiments indicate that radionuclide‐labeled macrophages may allow a higher sensitivity detection in nuclear imaging techniques such as PET and SPECT. Further confirmatory studies are needed to noninvasively image radiolabeled BMDM to understand their role in the inflammatory processes inherent to CRDs.
Antitoxic Effects of Curcumin against Obesity-Induced Multi-Organs’ Biochemical and Histopathological Abnormalities in an Animal Model
Authors: Hassan Mohammed H. , Awadalla Eatemad A. , Abd El-Kader Abd El-Kader M. , Seifeldin Esraa A. , Mahmoud Marwa Ahmed , Muddathir Abdel Rahim Mahmoud , Abdelsadik Ahmed
Published: October 2022

Background. Obesity is a significant public health problem that is characterized by an increase in oxidative stress and enhanced inflammatory responses associated with immune cell invasion of adipose tissues. This study assessed several biochemical abnormalities, apoptosis, oxidative stress status, and associated histological changes in the liver, duodenum, and heart brought on by high-fat diet-induced obesity in rats. It also assessed the mechanistic benefits of curcumin in reversing these inflammatory, metabolic, and histological impairments. Methods. Rats were assigned into three groups each including ten rats: the control group (CD), the high-fat diet group (HFD), and the high-fat diet + curcumin (HFDC) group. Serum glucose, insulin, and triglycerides (TAGs) were observed. In addition, apoptosis (indicated by hepatic DNA fragmentation) and oxidative stress status (indicated by hepatic MPO, GSH, and SOD) were assessed. Histopathological examinations included the GIT (liver and duodenum) and heart in addition to quantitative real-time polymerase chain reaction (qRT-PCR) assays of the adipose tissue genetic expressions for inflammatory signaling pathways (TLR4, IL-6, and TNF-α). Results. The overall findings showed that the HFD group exhibited significantly higher levels of glucose, TAGs, and insulin than the control group (P<0.01). The histological abnormalities of the studied organs in the HFD group were paralleled by these biochemical abnormalities, which were strongly associated with increased apoptosis, increased oxidative stress, and increased expression of the inflammatory signaling markers. There were significant improvements in the HFDC group in terms of biochemical, inflammatory, and histological investigations. Conclusions. This study’s findings concluded that obesity is significantly associated with biochemical and microscopic alterations in many organs. Curcumin exerted potent antitoxic, antioxidant, tissue-protective, and antiobesity effects. Curcumin is recommended to be added to various dietary regimens to prevent or delay the organs’ dysfunction among obese people.
A Large-Scale Prospective Concordance Study of Plasma- and Tissue-Based Next-Generation Targeted Sequencing for Advanced Non–Small Cell Lung Cancer (LC-SCRUM-Liquid)
Authors: Sugimoto Akira , Matsumoto Shingo , Udagawa Hibiki , Itotani Ryo , Usui Yuko , Umemura Shigeki , Nishino Kazumi , Nakachi Ichiro , Kuyama Shoichi , Daga Haruko , Hara Satoshi , Miyamoto Shingo , Kato Terufumi , Sakakibara-Konishi Jun , Tabata Eriko , Nakagawa Taku , Kawaguchi Tomoya , Sakai Tetsuya , Shibata Yuji , Izumi Hiroki , Nosaki Kaname , Zenke Yoshitaka , Yoh Kiyotaka , Goto Koichi
Published: October 2022

Purpose:

We evaluated plasma cell-free DNA (cfDNA) and tissue-based sequencing concordance for comprehensive oncogenic driver detection in non–small cell lung cancer (NSCLC) using a large-scale prospective screening cohort (LC-SCRUM-Liquid).

Experimental Design:

Blood samples were prospectively collected within 4 weeks of corresponding tumor tissue sampling from patients with advanced NSCLC to investigate plasma cfDNA sequencing concordance for alterations in 8 oncogenes (EGFR, KRAS, BRAF, HER2, MET, ALK, RET, and ROS1) compared with tissue-based next-generation targeted sequencing.

Results:

Paired blood and tissue samples were obtained in 1,062/1,112 enrolled patients with NSCLC. Oncogenic alteration was detected by plasma cfDNA sequencing and tissue assay in 455 (42.8%) and 537 (50.5%) patients, respectively. The positive percent agreement of plasma cfDNA sequencing compared with tissue DNA and RNA assays were 77% (EGFR, 78%; KRAS, 75%; BRAF, 85%; HER2, 72%) and 47% (ALK, 46%; RET, 57%; ROS1, 18%; MET, 66%), respectively. Oncogenic drivers were positive for plasma cfDNA and negative for tissue due to unsuccessful genomic analysis from poor-quality tissue samples (70%), and were negative for plasma cfDNA and positive for tissue due to low sensitivity of cfDNA analysis (61%). In patients with positive oncogenic drivers by plasma cfDNA sequencing but negative by tissue assay, the response rate of genotype-matched therapy was 85% and median progression-free survival was 12.7 months.

Conclusions:

Plasma cfDNA sequencing in patients with advanced NSCLC showed relatively high sensitivity for detecting gene mutations but low sensitivity for gene fusions and MET exon 14 skipping. This may be an alternative only when tissue assay is unavailable due to insufficient DNA and RNA.

See related commentary by Jacobsen Skanderup et al., p. 1381
Acute Disseminated Panniculitis Associated with Alpha-1 Antitrypsin Deficiency
Authors: Murinello António Guilherme , Sá Damásio Helena , Guedes Pedro , de Figueiredo António Manuel , Santos Adriana , Serrano Ana
Published: October 2022

Alpha-1 antitrypsin deficiency, although one of the most common genetic diseases, is a very rare and often undiagnosed cause of panniculitis. The authors present a case characterized by an acute involvement of several areas in the thorax, abdomen, and limbs, occurring after repetitive trauma of the perineal area caused by a long period of cycling. After performing the differential diagnosis and establishing etiology, the patient was started on augmentation therapy with plasma-derived synthetic human alpha-1 proteinase inhibitor and the disease has been under control since then. We recommend lifelong treatment with this medication. At the end of a 10-year follow-up, there has been no evidence of pulmonary emphysema or liver disease. The authors perform a concise review of the genetic and pathogenic mechanisms behind this disease, with a special focus on panniculitis and its treatment.
Fluid Overload and Precision Net Ultrafiltration in Critically Ill Patients
Authors: Murugan Raghavan , Kazory Amir , Sgarabotto Luca , Ronco Claudio
Published: October 2022

Background: Fluid overload is present in two-thirds of critically ill patients with acute kidney injury and is associated with morbidity, mortality, and increased healthcare resource utilization. Kidney replacement therapy (KRT) is frequently used for net fluid removal (i.e., net ultrafiltration [UFNET]) in patients with severe oliguric acute kidney injury. However, ultrafiltration has considerable risks associated with it, and there is a need for newer technology to perform ultrafiltration safely and to improve outcomes. Summary: Caring for a critically ill patient with oliguric acute kidney injury and fluid overload is one of the most challenging problems. Although diuretics are the first-line treatment for management of fluid overload, diuretic resistance is common. Various clinical practice guidelines support fluid removal using ultrafiltration during KRT. Emerging evidence from observational studies in critically ill patients suggests that both slow and fast rates of net fluid removal during continuous kidney replacement therapy are associated with increased mortality compared with moderate UFNET rates. In addition, fast UFNET rates are associated with an increased risk of cardiac arrhythmias. Randomized trials are required to examine whether moderate UFNET rates are associated with a reduced risk of hemodynamic instability, organ injury, and improved outcomes in critically ill patients. There is a need for newer technology for fluid removal in patients who do not meet traditional criteria for initiation of KRT. Emerging newer and miniaturized ultrafiltration devices may address an unmet clinical need. Key Messages: Among critically ill patients with acute kidney injury and fluid overload requiring continuous kidney replacement therapy, use of higher and slower UFNET rates compared with moderate UFNET rates might be associated with poor outcomes. Newer minimally invasive technologies may allow for safe and efficient UFNET in patients with acute kidney injury who do not meet criteria for initiation of KRT.
Explaining the High Political Trust in the Philippines: The Role of Citizens’ Subjective Health and Political Values
Authors: Pernia Ronald A.
Published: October 2022

What accounts for the uptick of political trust in the Philippines? This study theorizes that individual subjective health combined with the extent of democratic (and nondemocratic political attitude) explains political trust in the Philippines. It hypothesizes that healthier authoritarian citizens are more likely to express favorable views towards political institutions because these individuals possess conservative values who put, among others, a premium on maintenance of order and stability. Such political values are activated upon the arrival of strongmen. Using data from the 2019 World Values Survey, estimates strongly support such an argument. The novel operationalization of this study nuances the view of citizen attitudes on political trust in developing democracies. Overall, the main results not only add credence to the cultural origins of political trust, but it also illuminates on why Philippine political institutions remain trusted despite the botched pandemic response and Filipinos’ enduring support for leaders like Duterte.
Revised taxonomy and distributions of Costa Rican moss salamanders (Caudata: Plethodontidae: Nototriton), with descriptions of new taxa
Authors: KUBICKI BRIAN , REYES AURA , ARIAS ERICK
Published: October 2022

The tiny moss salamanders of the genus Nototriton within Costa Rica have long been poorly known and understood. Due to their diminutive size and specialized ecology, this taxon is very rarely studied or even represented in collections, thus resulting in much confusion surrounding the actual taxonomic and distributional status of the species within the country. As a result of hundreds of hours of fieldwork, lab work, and morphological analysis and measurement, herein we provide an updated taxonomic revision of the Costa Rican members of the genus Nototriton, with the proposal of a new subgenus and four new species.