bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization of the Reversible Lane considering the Relationship between Traffic Capacity and Number of Lanes
Authors: Cai Jianrong , Wu Jianhui , Li Zhixue , Long Qiong , Zhou Zhaoming , Yu Jie , Jiang Xiangjun
Published: April 2022

To make full use of road resources, improve the operation efficiency of the road network system, and alleviate the coexistence between traffic congestion and road resources idle caused by the traffic tidal phenomenon, the impact of the number of lanes on traffic capacity is examined, and the mixed-integer bilevel programming model for reversible lane optimization is established with the aim to minimalize the total travel time of the system. Taking a test road network as an example, the influence of the reversible lane optimization on characteristic values of sections, the route travel time between OD pairs, and the total time of the system are analyzed. The results indicate that the reversible lane optimization can make full use of the idle road resources and make the road network structure match the travel demands better, and the system index after the reversible lane optimization is obviously better than the original system index.
Deciphering the Molecular Mechanism of Red Raspberry in Apoptosis of Liver Cancer Cells
Authors: Song Linlin , Li Qi , Shi Hui , Yue Hui
Published: April 2022

Red raspberry contains a variety of bioactive ingredients and has high edible and medicinal value. Red raspberry extractions (RREs) have strong antioxidant capacity and anticancer ability in vivo and in vitro. This study was to explore the specific mechanism of RREs inhibiting the proliferation of liver cancer HepG2 cells and provide a theoretical basis for the prevention and treatment of liver cancer by RREs. HepG2 cells were cultured in vitro, and MTT assay was adopted to detect the effect of RREs on HepG2 cell activity. Colony formation assay was applied to detect the growth and proliferation of cells, cell apoptosis was detected by flow cytometry, and dichloro-dihydro-fluorescein diacetate (DCFH-DA) assay was adopted to detect the effect of RREs on the production of reactive oxygen species (ROS) in cells. The effect of RREs on cell mitochondrial membrane potential was evaluated by mitochondrial membrane potential assay kit with JC-1 (JC-1 assay), and western blot was used to detect the expression of apoptosis-related proteins (B-cell lymphoma-2 (Bcl-2), Bcl-2-associated x (Bax), and Caspase-3), thus investigating the effect of RREs on the molecular mechanism of HepG2 cell apoptosis. The results showed that RREs could inhibit the proliferation activity of HepG2 cells and promote their apoptosis in a concentration-dependent manner. The level of ROS in HepG2 cells interfered by RREs increased markedly, while the cell mitochondrial membrane potential decreased sharply. As the concentration of HepG2 increased, the mitochondrial membrane potential reduced steeply. Western blot results showed that the expression of apoptosis-related protein Bcl-2 in the RREs treatment group dropped, but the expression of Bax and Caspase-3 rose. In summary, RREs could inhibit the proliferation of liver cancer HepG2 cells and promote their apoptosis. This inhibition might be executed by inducing HepG2 cells to produce ROS, a decrease in Bcl-2/Bax protein ratio, and an obvious reduction in mitochondrial membrane potential.
Optimisation of Airline Dynamic Multileg Capacity Control Problem considering Competition from High-Speed Rail
Authors: Bian Qian , Song Liying
Published: April 2022

This paper develops an optimisation model to address the dynamic multileg capacity control problem for the airline, taking into account the competition from the high-speed rail (HSR). Conventional capacity control models assume that the passenger demand is independent and that airlines control capacity independently. The proposed model considers the semi-independent demand, i.e., a customer of certain fare class arrives and makes choices from available alternatives provided by both airline and HSR. If the customer’s first option is rejected, their booking request will be diverted both horizontally to the other operator and vertically to parallel flights within the same operator. Making use of this assumption, the customer’s second and third choices are captured. With this model, airlines can control the sales process to determine whether or not to accept an initial booking request or diverted booking request to maximise their revenue. The deterministic linear programming (DLP) method is proposed as a model solution, enabling the computation of partitioned allocation and the bid price of each product. The optimal capacity control strategy is then obtained based on bid price control. To validate the model, numerical experiments are conducted to simulate customers' actual arrival and to show that the model is capable of producing better revenue, especially in the event that demand exceeds supply. Moreover, the demand diversion effect brings more revenue for both airline and HSR, and this potential revenue source has been ignored by previous research studies.
Identification of Bioactive Compounds and Potential Mechanisms of Kuntai Capsule in the Treatment of Polycystic Ovary Syndrome by Integrating Network Pharmacology and Bioinformatics
Authors: Li Xiushen , Ma Jingxin , Guo Li , Dong Chenle , Zhu Guli , Hong Wenli , Chen Can , Wang Hao , Wu Xueqing
Published: April 2022

Context. Kuntai capsule (KTC), a proprietary Chinese medicine, have been used for the treatment of polycystic ovary syndrome (PCOS). Objective. This study elucidates the potential therapeutic targets and molecular mechanisms of KTC in the treatment of PCOS. Materials and Methods. Using the Traditional Chinese Medicine System Pharmacology Database and Analysis Platform (TCMSP), the active ingredients and potential targets of KTC were obtained. The Gene Expression Omnibus (GEO) database was used to find differentially expressed genes (DEGs) related to PCOS. Search the CTD, DisGeNet, genecards, NCBI, OMIM, and PharmGKB databases for therapeutic targets related to PCOS. The intersection of potential targets, DEGs, and therapeutic targets was submitted to perform bioinformatics analysis by R language. Finally, the analyses’ core targets and their corresponding active ingredients were molecularly docked. Results. 88 potential therapeutic targets of KTC for PCOS were discovered by intersecting the potential targets, DEGs, and therapeutic targets. According to bioinformatics analysis, the mechanisms of KTC treatment for PCOS could be linked to IL-17 signaling route, p53 signaling pathway, HIF-1 signaling pathway, etc. The minimal binding energies of the 5 core targets and their corresponding ingredients were all less than -6.5. Further research found that quercetin may replace KTC in the treatment of PCOS. Discussion and Conclusions. We explored the active ingredients and molecular mechanisms of KTC in the treatment of PCOS and found that quercetin may be the core ingredient of KTC in the treatment of PCOS.
Evolutionary Game Analysis of the Dissemination of False Information by Multiple Parties after Major Emergencies
Authors: Li Bowen , Li Hua , Sun Qiubai , Lv Rongjian , Zhao Jianbo
Published: April 2022

False information is always produced after the outbreak of major emergencies. Taking this into consideration, this paper discusses the behavior of multiple parties in relation to false information dissemination after major emergencies. First, a game model is constructed, using relevant knowledge of evolutionary game theory, between three parties: regulatory institutions, opinion leaders, and ordinary Internet users. Second, the model equations are solved, and the evolutionary stability strategies of each game party under different circumstances are analyzed. Third, a numerical simulation is applied to the evolutionary trends under different strategy combinations with varying parameters. The results show that the probability of each game party making ideal decisions is positively correlated with the degree of punishment imposed by regulatory institutions on opinion leaders who release false information, the reward provided by regulatory institutions on opinion leaders who release positive information, the degree of participation and satisfaction gained by Internet users in adopting positive information, the richness of authentic content released by opinion leaders, and the psychological identification of Internet users with opinion leaders. Meanwhile, the probability of each game party making ideal decisions is negatively correlated with investigation and evidence collection costs borne by opinion leaders who release positive information, the additional income for opinion leaders who have false information adopted by Internet users, the costs of Internet users’ time and energy when they adopt information released by opinion leaders, and the costs of independently judging the accuracy of information by Internet users.
Agricultural Economic Risk Forecast Based on Data Mining Technology
Authors: Wang Lei , Tan Hongwei
Published: April 2022

In order to improve the effect of agricultural economic risk forecast, this paper studies the agricultural economic risk forecast combined with data mining technology and builds an intelligent agricultural economic risk forecast system. Moreover, this paper employs a dynamic factor model to estimate common factors that drive changes in target topics. In order to construct a sentiment index that can reflect the overall operating situation of the macroeconomy, this paper improves the agricultural economic risk mining algorithm and standardizes the sentiment value corresponding to the target theme. In addition, this article analyzes the sentiment changes of its individual topics one by one in combination with the specific economic environment. The simulation study shows that the agricultural economic risk forecast system based on data mining technology proposed in this paper has a good effect.
Analysis and Evaluation of the Relationship between Teaching Pressure and Self-Efficacy of College Teachers Based on Artificial Neural Network
Authors: Wu Songjiao
Published: April 2022

With the reform of the education system, the society today raises higher requirements for college teachers, which cause immense psychological stress among them. To enhance the quality of teachers, it is important to analyze the relationship between teaching pressure and self-efficacy. Therefore, this paper tries to analyze and evaluate the relationship between teaching pressure and self-efficacy of college teachers based on artificial neural network. Firstly, a grey correlation analysis (GRA) model was established for the teaching pressure and self-efficacy of college teachers, and the analysis procedure was detailed. Then, the possible multicollinearity of the GRA model was tested. In addition, a linear regression model was established based on Lasso variable selection model and ridge regression variable selection model, aiming to eliminate the multicollinearity between various teaching pressure factors in the GRA model. Finally, a multilabel learning algorithm was proposed based on neural network and label correlation. In this way, the correlations between the various teaching pressure factors and teachers’ self-efficacy were mined automatically. The proposed model proved valid through experiments.
Biological Evaluation of Garcinia kola Heckel
Authors: Dogara Abdulrahman Mahmoud , Hamad Saber W. , Hama Harmand A. , Bradosty Sarwan W. , Kayfi Soran , Al-Rawi Sawsan S. , Lema Abubakar Abdullahi
Published: April 2022

Garcinia kola belongs to the Garcinia genus of the Clusiaceae family and Malpighiales order. It contains more than 180 members all over the globe. It is found all over Asia and in tropical African countries. In Africa, traditionally, G kola is used to manage and treat cancer, diabetes, malaria, analgesics, hypertension, and other numerous ailments. This review aimed to comprehensively update relevant information regarding the pharmacological potential of Garcinia kola. Electronic databases such as ScienceDirect, PubMed, Wiley, Google Scholar, Hindawi, and Springer extracted valuable information from original scientific research papers. Inclusion Criteria. Antioxidant, antimicrobial, antidiabetic, antibacterial, medications, antiviral, traditional medicine, ethnopharmacology, toxicity, cytotoxic action, chemical composition, mineral elements, GCMS analysis, and any other related phrases were used as filters to find studies. Exclusion Criteria. Data from questionable online sources, as well as thesis reports and review publications, were excluded from this investigation. The investigation revealed that seeds of G. kola are very efficient as antioxidant, antimicrobial, antidiabetic, antihypertension, antianalgesic, and anti-inflammatory. The study also found that too much consumption of the seeds caused low fertility and toxicity. However, the safety and efficacy of G. kola have not been wholly assessed in humans, and further well-designed clinical trials are needed to corroborate preclinical findings. The mechanism of action of the seed extract should be examined. The standard dose and safety of the seed should be established.
A Cellular Automaton Model with Random Update Rules for Urban Traffic Flow
Authors: Da Cheng , Qian Yongsheng , Zeng Junwei , Zhang Yongzhi , Xu Dejie
Published: April 2022

Traffic jamming can easily lead to wasting time and fuel consumption and induce traffic accidents, thus seriously affecting daily life. In this study, an urban traffic flow cellular automaton (CA) model with random update rules is proposed to analyze the influence of network size and the probabilities of the change of the motion directions of cars, from up to right (pur) and from right to up (pru) on traffic flow. Simulation results show that, as the size of the system increases, the critical density tends to decrease causing larger phase transition, and for a larger size network system, the critical density is stable. The greater the pur and pru, the greater the average velocity of vehicles, which means increase in the opportunity that vehicle change directions effectively avoids the formation of traffic jamming. By studying the operational status of urban traffic flow from the microlevel, it can provide some new ideas for alleviating urban traffic jamming.
Clinical Effectiveness of Laparoscopic Fiberoptic Choledochoscopy versus Conventional Open Surgery for Gallbladder Stones Complicated with Common Bile Duct Stones
Authors: Liu Ling , Guo Qiqi , Shen Weimin
Published: April 2022

Objective. To assess the clinical effectiveness of laparoscopic fiberoptic choledochoscopy versus conventional open surgery for gallbladder stones complicated with common bile duct stones. Methods. In this retrospective study, 110 patients with gallbladder stones complicated with common bile duct stones treated in our institution between May 2018 and April 2020 were recruited and assigned to receive either open surgery (conventional group) or laparoscopic fiberoptic choledochoscopy (experimental group). Outcome measures included intraoperative indices, postoperative indices, postoperative complications, and changes in postoperative blood indices. Results. Laparoscopic fiberoptic choledochoscopy was associated with less intraoperative bleeding volume and a shorter surgical incision length versus open surgery (

P
<
0.05

). All eligible patients showed similar operative time (

P
>
0.05

). Laparoscopic fiberoptic choledochoscopy resulted in shorter postoperative exhaust time and mean length of stay and a higher mean hospitalization cost versus open surgery (

P
<
0.05

). There was no significant difference in the number of patients with intensive care units (ICU) monitoring or primary suture of the common bile duct between the two groups (

P
>
0.05

). The eligible patients after laparoscopic fiberoptic choledochoscopy experienced fewer complications versus those after open surgery (

P
<
0.05

). Laparoscopic fiberoptic choledochoscopy had a milder impact on postoperative albumin decrease versus open surgery (

P
<
0.05

). No significant difference was found in the postoperative leukocyte changes and total bilirubin decrease between the two groups (

P
>
0.05

). Conclusion. Laparoscopic fiberoptic choledochoscopy has better perioperative indices outcomes, lower incidence of postoperative complications, smaller postoperative albumin changes, and superior overall performance versus conventional open surgery for gallbladder stones complicated with common bile duct stones.
Blockchain-Based Incentive Mechanism for Spectrum Sharing in IoV
Authors: Li Hongning , Li Jingyi , Zhao Hongyang , He Shunfan , Hu Tonghui
Published: April 2022

In this paper, we design a blockchain-based incentive mechanism for the problem of low-level participation of primary users caused by location privacy leakage during spectrum data sharing in the Internet of Vehicles (IoV). First, we propose a

K

-anonymous location protection scheme for multiuser cooperation, which can protect the location privacy of primary users by generalizing their location information through the construction of anonymous areas. Then, we design an incentive mechanism, which performs reporting and adjudication strategy through the transaction stored in blockchain. Simulation results indicate that the proposed scheme can effectively prevent the privacy leakage of primary users’ location and encourage them to actively participate in spectrum sharing in IoV.
Research on the Design of Public Space in Urban Renewal Based on Multicriteria Cluster Decision-Making
Authors: Bian Hongxu , Su Huiren
Published: April 2022

Urban design is a critical technical tool for shaping and intervening in urban space, but it is also developing into a critical governance tool for guiding the orderly development of urban renewal, thereby contributing significantly to its effectiveness. This paper examines the design of public space in urban renewal through the lens of multicriteria group decision-making, introduces urban design governance theory, develops a theoretical framework for instrumentalizing urban design governance to respond to various levels of urban renewal, and investigates strategies for assisting urban renewal through the innovation of governance subjects and semiformal governance tools, in addition to the formal path of combining urban design and planning. Simultaneously, a multicriteria decision-making algorithm is proposed that combines theoretical concepts from the fields of computational intelligence and multicriteria decision-making, adopts a normalization fundamental model to standardize the attribution function, selects valid data information function values to combine into an aggregation function, and then establishes a multicriteria approach to deal with heterogeneous information based on the aggregation function. The experimental results demonstrate that the proposed algorithm is capable of coping with and representing the imprecision and uncertainty inherent in the input data.
Balanced Allocation of Educational Resources Based on Parallel Genetic Algorithm
Authors: Qiu Ming
Published: April 2022

Higher education is one of the scarcest social resources, with high demand and low supply, and higher education is currently in limited supply in our country, making it difficult to resolve this contradiction. In addition to increasing investment in higher education as much as possible, the most important thing is to maximize the benefits of education through the rational allocation of resources. An evaluation index system of educational resource input-output was constructed, and a multiobjective function model of educational resource utilization efficiency and allocation efficiency was proposed. We should rationalize the allocation of resources and maximize the benefits of innovation and entrepreneurship education in colleges and universities. By combining particle swarm optimization with genetic algorithm, we can simulate and solve the model. The simulation results suggest that by optimizing the usage and allocation efficiency of innovation, it may be increased. College and university entrepreneurship education resources have increased by 18.72 percent and 20.98 percent, respectively, on average, and tend to be in a balanced state, which can realize the optimization of education resources allocation.
Effects of Atipamezole Preconditioning on Cognitive Function and Protein Expression in Related Brain Regions of Aged Rats after General Anesthesia
Authors: Huang Kebing , Wang Xiong
Published: April 2022

To explore the possible mechanism of atipamezole in improving cognitive function after general anesthesia in aged rats, forty-five aged SD rats were separated into control, model, and atipamezole groups. Rats in the model group were anesthetized by intraperitoneal injection of 75 mg/kg ketamine plus 5 mg/kg midazolam. Results showed that the escape incubation period of the atipamezole group versus model group on the 2nd, 3rd, and 4th days was shortened, residence time of platform quadrant was prolonged on the 5th day, and number of times of crossing platform quadrant was increased. Compared with the control group, the residence time in the central region of the model group was shortened on the 1st, 2nd, and 3rd days. Atipamezole group’s central residence time was prolonged on the 1st, 2nd, and 3rd days compared to the model group. Concentrations of IL-1, IL-6, and TNF-α in the hippocampus of the atipamezole group decreased significantly compared to the model group. The expressions of p-CREB and c-fos proteins in the prefrontal cortex and nucleus accumbens of rats in the atimezazole group were higher than those in the model group. In conclusion, atipamezole preconditioning can reduce cognitive dysfunction in aged rats after general anesthesia, and its mechanism may be related to inhibiting hippocampal inflammatory reaction and improving protein expression levels of p-CREB and c-fos in related brain regions of aged rats.
Face Security Authentication System Based on Deep Learning and Homomorphic Encryption
Authors: Sun Dechao , Huang Hong , Zheng Dongsong , Hu Haoliang , Bi Chunyue , Wang Renfang
Published: April 2022

The development of deep learning technology has promoted the wide application of face recognition in many scenarios such as mobile payment and social media, but the security of user data is facing great challenges. To protect the privacy of users, face authentication cannot be operated in plaintext. To solve this problem, a face feature ciphertext authentication scheme based on homomorphic encryption is proposed. First, the face image feature extraction is completed based on a deep learning model. Second, the face features are packaged into ciphertext by using homomorphic encryption and batch processing technology, and the face feature ciphertext is saved in the database of the cloud server. Third, combined with automorphism mapping and Hamming distance, a face feature ciphertext recognition method is designed, which can complete face recognition in the case of ciphertext. Finally, the integrity and consistency of face feature ciphertext recognition results before and after decryption are guaranteed by the one-time MAC authentication method. The whole framework can finish identity recognition without decrypting face feature coding, and the homomorphic ciphertext of face feature coding is saved in the database, so there is no risk of face feature coding leakage. Experiments show that the system has met the requirements of real application scenarios.
An Improved Multibranch Convolutional Neural Network with a Compensator for Crowd Counting
Authors: Zheng Zhiyun , Sun Zhenhao , Zhu Guanglei , Wang Zhenfei , Wang Junfeng
Published: April 2022

Image‐based crowd counting has extremely important applications in public safety issues. Most of the previous studies focused on extremely dense crowds. However, as the number of webcams increases, a crowd with extremely high density can obtain less error by summing the images of multiple close‐range webcams, but there are still some problems such as heavy occlusions and large‐scale variation. To solve the above problems, this paper proposes a new type of multibranch neural network with a compensator, in which features are extracted through multibranch subnetworks of different scales. The weights between the branches are adjusted by the compensator, and the captured features are distinguished among different branches. To avoid learning nearly the same features in each branch and reducing the training deviation, the dataset is labeled with head scale, and the adaptive grading loss function is used to calculate the estimated loss of the subregions. The experimental results show that the accuracy of the network proposed in this paper is about 10% higher than that of the comparison network.
Research on Progressive Stabilization Filter System of Silt Foundation around Tube Well
Authors: Zhang Canhong , Hou Wenang , Ji Enyue , Yang Zhanmin , Wang Baotian
Published: April 2022

To obtain the applicable filter layer range of the silt sand around the dewatering well of a ship lock renovation project in Nanjing, several existing classic filter layer criteria are analyzed, and the concept of a progressively stable filter system is put forward accordingly. The self‐designed horizontal percolation filter is used to carry out the silt filter test, and the filter effect of these graded filter materials on the test silt filter is studied, and the mechanism of the progressively stable filter system is described. Tests show that when the ratio of the filter material to the characteristic particle size of the silt soil falls within the range of 4.3–7.7, the system maintains a stable percolation state. Through the particle tests of the base soil and the filter material after filtering, it is found that an effective filter system is that the filter layer induces soil’s self‐filtration, and they work together. No matter what filter material criterion is used to design the filter, as long as the gradual and stable filtration mechanism is formed in the filtration process, stable filtration can be ensured. The research on the progressively stable filter system will help to determine the gradation range of the filter material more reasonably in the engineering design, reduce the failure probability of the filter layer, and provide a certain reference for the design of the filter layer in similar projects in the future.
Research on the Popularity Prediction of Multimedia Network Information Based on Fast K Neighbor Algorithm
Authors: Mao Xiaodong , Xu Fei
Published: April 2022

From the perspective of practical application, information popularity prediction is of positive significance for corporate marketing, advertising, traffic control, and risk management. This paper combines the fast K-nearest neighbor algorithm to predict and analyze the popularity of multimedia network information and improves the nonindependent and identically distributed KNN classification algorithm. Moreover, this paper proves that it is a superior measurement method when considering the nonindependent and identical distribution among data objects to measure similarity and the improved CS_KNN algorithm can greatly improve the classification performance. Finally, this paper constructs a prediction model of multimedia network information popularity based on the fast K neighbor algorithm. Through the experimental research results, it can be seen that the prediction effect of the multimedia network information popularity prediction system based on the fast K neighbor algorithm proposed in this study is very good.
Multiclass Convolution Neural Network for Classification of COVID-19 CT Images
Authors: Woan Ching Serena Low , Lai Khin Wee , Chuah Joon Huang , Hasikin Khairunnisa , Khalil Azira , Qian Pengjiang , Xia Kaijian , Jiang Yizhang , Zhang Yuanpeng , Dhanalakshmi Samiappan
Published: April 2022

In the late December of 2019, a novel coronavirus was discovered in Wuhan, China. In March 2020, WHO announced this epidemic had become a global pandemic and that the novel coronavirus may be mild to most people. However, some people may experience a severe illness that results in hospitalization or maybe death. COVID-19 classification remains challenging due to the ambiguity and similarity with other known respiratory diseases such as SARS, MERS, and other viral pneumonia. The typical symptoms of COVID-19 are fever, cough, chills, shortness of breath, loss of smell and taste, headache, sore throat, chest pains, confusion, and diarrhoea. This research paper suggests the concept of transfer learning using the deterministic algorithm in all binary classification models and evaluates the performance of various CNN architectures. The datasets of 746 CT images of COVID-19 and non-COVID-19 were divided for training, validation, and testing. Various augmentation techniques were applied to increase the number of datasets except for testing images. The images were then pretrained using CNN to obtain a binary class. ResNeXt101 and ResNet152 have the best F1 score of 0.978 and 0.938, whereas GoogleNet has an F1 score of 0.762. ResNeXt101 and ResNet152 have an accuracy of 97.81% and 93.80%. ResNeXt101, DenseNet201, and ResNet152 have 95.71%, 93.81%, and 90% sensitivity, whereas ResNeXt101, ResNet101, and ResNet152 have 100%, 99.58%, and 98.33 specificity, respectively.
Application of 3D Visualisation Video Technology for the Modern Business Management
Authors: Li Ying , Ye Yangxiang
Published: April 2022

Nowadays, identifying problems is often more difficult and important than solving them in the complex business environment. Especially in modern enterprises, with more staff and complex working environment, it is more difficult to find the problems buried under the “iceberg.” Thus the task of managers becomes how to find problems and create an environment conducive to management, so that problems naturally emerge. Based on the modern enterprise management as the research object, the information technology and 3D visualisation video technology in the application of modern enterprise management were carried out. Then it explains the concept and theory of 3D visualisation video technology, analyses the feasibility of applying visualisation video management in modern enterprises and, in particular, explores the existing problems of modern enterprise management, and comes up with methods and specific measures for implementing visualisation video management in large modern enterprises. It provides an innovative approach to the management of modern enterprises in China when facing new challenges and new turning points in the context of the financial crisis.
Metro Wheel Set Size Measurement Method Based on CDD Image Recognition
Authors: Ma Jun , Zhang Chunguang , Chen Bingzhi
Published: April 2022

In the process of train operation, the contact friction between wheel and track will change the size of wheel set. In order to ensure the safe operation of train, it is of great significance to detect the change of wheel set size timely and accurately. On the basis of summarizing the research at home and abroad, the online dynamic detection technology of wheel set size is studied. Firstly, the overall architecture of the wheel set size online detection system is studied, the working principle of each detection module is explained, and the installation parameters of the laser displacement sensor are designed. Secondly, the machine learning algorithm of online dynamic detection technology of wheel set size is studied. The passing wheel sets are photographed by CCD camera, and then the three-dimensional model is reconstructed by point cloud data, and then the parameters of each part are measured and calculated according to the model. The wheel set size can be obtained.
PDFuzzerGen: Policy-Driven Black-Box Fuzzer Generation for Smart Devices
Authors: Cheng Yixuan , Fan Wenqing , Huang Wei , Yu Gaoqing , Han Yu , Dong Hang , Liu Wen
Published: April 2022

Black-box fuzzing is a testing technique to find both known and unknown vulnerabilities in software. When applying black-box fuzzing to smart devices, the main idea is to take a smart device as a black box and provide random input through a network-based interface, such as a Web interface. Due to the diversity of Web interface implementations and complex data format, a blind mutation of the message makes the message unable to pass the verification of the device component. Therefore, each Web interface needs a unique fuzzer, which precisely defines a message format of the target interface, a state maintenance method, the field positions to be mutated, and a specific input mutation method. At the time of writing, a fuzzer is completely developed by a security engineer. To save human labor, we present PDFuzzerGen, a tool to automatically synthesize complex black-box fuzzers for smart devices. PDFuzzerGen generates multiple fuzzing policies by analyzing raw messages and then synthesizes fuzzers based on policies. PDFuzzerGen requires no human intervention and can be applied to a wide range of smart devices. Furthermore, the generated fuzzers can expose bugs and flaws that rest deep in smart devices. PDFuzzerGen was evaluated to generate fuzzers for 19 different smart devices from 6 vendors. It has found 14 previously unknown vulnerabilities, 5 of which were confirmed and disclosed by the China National Vulnerability Database (CNVD) and 2 of which were confirmed and disclosed by Common Vulnerabilities and Exposures (CVE). The generated fuzzers outperform some manually crafted fuzzers on a few metrics, including the vulnerability detection rate and time cost of a newly developed fuzzer, which demonstrates the effectiveness and efficiency of PDFuzzerGen.
INCORPORATION OF SODIUM HYALURONATE AND NYAMPLUNG (Calophylum inophyllum) CAKE EXTRACT TO IMPROVE BIOPLASTIC CHARACTERISTIC
Authors: Umiyati Rini , Hidayat Chusnul , Millati Ria , Teguh Ariyanto
Published: April 2022

The cross-linking agent plays an important role in bioplastic mechanical properties. This study aimed to determine the effect of Sodium Hyaluronate (SoHA) as a synthetic cross-linking agent and the addition of Nyamplung Cake Extract (NCE) as an antimicrobial agent in the manufacture of bioplastic with hydroxypropyl starch (HPS) as based ingredient using the thermo-compression method. The novelty of the study was thiocyanate (SCN) formation in zone 3 (2161.66-2162.02/cm) and cyanate (C-N=O) in zone 6 (1,411.57 - 1,412.61/cm) of (1, 2 and 3%) SoHA bioplastic and cyanate formation in zone 6 and 7 (1,411.37 - 1,558.59/cm) of (1, 2 and 3%) SoHA – 20% NCE combined bioplastic originating from acetanilide group in SoHA and amide group in NCE. The formation of SCN and C-N=O in 2 and 3% SoHA bioplastic improved its sensitivity against gram-positive bacteria (Staphylococcus aureus) indicated by 0.6 mm and 0.45 mm inhibition zone, respectively. C-N=O formed in (1, 2 and 3%) SoHA – 20% NCE combined with bioplastic had 3.25 mm average inhibition zone against gram-positive bacteria (S. aureus), 2.75 mm against gram-negative bacteria (Escherichia coli), and 0.71 mm against fungi (Aspergillus niger). The analysis of mechanical properties showed that an addition of 3% SoHA was able to increase tensile strength and modulus of elasticity while reducing elongation, water solubility and water vapor permeability. Addition of (1, 2 and 3%) SoHA – 20% NCE resulted in a reverse effect.
 
Keywords: acetanilide, amide, cross-linking agent, cyanate, thiocyanate
LITTERFALL, LITTER DECOMPOSITION AND NUTRIENT RETURN OF REHABILITATED MINING AREAS AND NATURAL FOREST IN PHANGNGA FORESTRY RESEARCH STATION, SOUTHERN THAILAND
Authors: Wongprom Jetsada , Poolsiri Roongreang , Diloksumpun Sapit , Ngernsaengsaruay Chatchai , Tansakul Samita , Chandaeng Wasan
Published: April 2022

Litterfall and litter decomposition play important roles in the maintenance of nutrient cycling and rehabilitation of degraded lands. Litterfall, litter decomposition and nutrient return were investigated in a 27-year-old Acacia mangium plantation on sandy and clay sites, and in a mixed plantation at the Phangnga Forestry Research Station, Phangnga Province, Thailand. Additionally, secondary and primary forests were investigated and compared with the values obtained from the Acacia mangium and the mixed plantations. The results indicated that litter production in A. mangium plantation on sandy and clay sites, and in mixed plantations (15.47, 11.68 and 7.89 t/ha/yr, respectively) was higher than that in the secondary and primary forests (6.34 and 6.92 t/ha/yr, respectively). The rate of litter decomposition was the greatest in the secondary forest (3.01/yr) and the lowest occurred in the primary forest (1.15/yr). The decomposition rate of the mixed leaf litter between native trees and A. mangium in plantations was higher than that of only A mangium leaf, except in the mixed plantations. A high initial nitrogen concentration in A. mangium could accelerate litter decomposition and improve litter quality in the mixed litter. In addition, the nutrient return in plantations was higher than that in the secondary and primary forests, especially for N. Increased litter production, high decomposition rate and nutrient return from A. mangium plantation had important roles in nutrient cycling, suggesting that a mixed plantation consisting of A. mangium and native trees should be considered for the reclamation of mining land.
 
Keywords: litter decomposition, litterfall, mining rehabilitation, nutrient return, tropical forest
Reproduction phenology of a high conservation priority cracid – the Bare‑faced Curassow (Crax fasciolata; Aves, Galliformes, Cracidae)
Authors: Senič Martin , Schuchmann Karl-Ludwig , Marques Marinêz Isaac
Published: April 2022

Knowledge of the reproductive biology of Bare-faced Curassows (BFC) from their natural habitats is very limited. Our study covers a two-and-a-half year breeding phenology on BFC in the northern Pantanal (Mato Grosso State, Brazil) with the main objective of collecting information on reproduction biology to contribute to future conservation management strategies of this cracid, which received a recent status of "High Conservation Priority". The study was conducted at the SESC Pantanal, Baía das Pedras, Mato Grosso, Brazil (16°29′55″S, 56°24′46″W), a private protected area of approximately 4,200 ha. Between July 2015 and December 2017, 37 sampling locations were monitored with camera traps placed in a regular grid with a spacing of 1 km. Offspring were detected at least once at 8 locations, namely, in March, April, and May 2016 and in June, July, October, and November 2017, always together with parent(s). Territorial overlap between different family groups was detected. The camera trap dataset was supplemented by data from Citizen Science Projects (i.e., eBird) and the Global Biodiversity Information Facility (GBIF). Based on feather developmental stages and body size, offspring were classified into different age classes. Age determination indicates that breeding occurs year-round in the northern Pantanal region, supported by eBird and GBIF data. The use of a grid-based design for future camera-trapping studies of BFCs is strongly recommended. Our study is of biological relevance for conservation management projects since data were collected in an area with low anthropogenic disturbance and intact ecosystem services.
Corpos insubmissos e identidades decompostas no cinema de David Cronenberg
Authors: Safatle Vladimir
Published: April 2022

Trata-se de discutir a maneira com que as representações do corpo no cinema de David Cronenberg indicam uma dissociação importante entre gozo e prazer. Tal dissociação deve ser avaliada em sua dimensão propriamente política, abrindo com isso outra dimensão para aquilo que normalmente entendemos por “crítica do fetichismo”.
A recepção de Agostinho em As confissões da carne, de Foucault
Authors: Silva Filho Luiz Marcos da
Published: April 2022

Neste artigo, pretendo apreciar a recepção de Agostinho em “As confissões da carne”, volume 4 da História da sexualidade, de Michel Foucault, especialmente no penúltimo capítulo da obra “O bem e os bens do casamento”, com um propósito geral duplo: entender melhor, de um lado, por que a obra agostiniana é expediente privilegiado para Foucault apresentar criticamente a subjetivação e a objetivação de uma moral sexual cristã, bem como problematizar, por outro lado, em que medida a leitura foucaultiana de Agostinho projeta nele e em geral nos pères de l’église uma agenda psicanalítica consideravelmente estranha a eles. Por fim, proporei uma chave de leitura de As confissões da carne como um outro anti-Édipo.
Três poemas de Schelling-Bonaventura
Authors: Schelling Friedrich Wilhelm Joseph von , Souza Pedro Nagem de
Published: April 2022

Três poemas de Schelling-Bonaventura. Tradução de “Tier und Pflanze”, “Lied” e “Los der Erde”.
Abstract 11898: KLF10 Deficiency in CD4+ T Cells Exacerbates Angiotensin II-Induced Perivascular Fibrosis
Authors: Zhuang Rulin , Chen Jingshu , Cheng Henry , Assa Carmel , Jamaiyar Anurag , Pandey Arvind , Wara Akm , Feinberg Mark W
Published: April 2022

Introduction:
Perivascular fibrosis, characterized by increased amount of connective tissue around vessels, is a hallmark for vascular disease. Angiotensin II (Ang II) contributes to vascular disease via promoting T-cell activation and end-organ damage. Despite recent data suggesting the role of T cells in the progression of perivascular fibrosis, the underlying mechanisms are poorly understood.

Objective:
Kruppel-like Factor 10 is a transcription factor expressed in T cell subsets. We sought to investigate the role of KLF10 in CD4+ T cells in regulating vascular damage in an AngII mouse model.

Methods:
CD4-targeted KLF10 deficient (TKO) and CD4-Cre (WT) mice were generated and subjected to 28 days of Ang II infusion. Endpoint characterization included fibrotic organ transcriptomic analysis, multi-organ histology, flow cytometry, cytokine analysis, myograph vasoreactivity, and cardiac echocardiography.

Results:
TKO mice showed enhanced perivascular fibrosis compared to WT mice by histological analysis in the aorta, heart, and kidney. TKO mice had vessels with enhanced vasoconstriction to phenylephrine, hearts with impaired global longitudinal strain by echo, and kidneys with elevated albumin/creatinine ratio. However, no change was found in blood pressure between TKO and WT. Plasma IL-9 and IL-15 were increased in TKO mice. IL-9 mRNA and secreted protein were also increased in activated TKO CD4+ T cells, as well as in Ang II treated WT-CD4+ T cells
in vitro
. Mechanistic studies revealed that KLF10 regulated
Il9
transcription through interaction with promoter region of
Il9
by ChIP assay. Notably, injection of anti-IL9 antibody reversed perivascular fibrosis in Ang II infused TKO mice.

Conclusion:
CD4+ T cell deficiency of
Klf10
exacerbated perivascular fibrosis and multi-organ dysfunction in response to Ang II via upregulation of IL-9.
Klf10
or IL-9 in T cells might represent novel therapeutic targets for the treatment of vascular or fibrotic diseases.
Abstract 12000: A Novel Human Arterial Transcriptomic Signature Associated With Major Adverse Cardiovascular Events and Oxidative Stress
Authors: Kotanidis Christos , Lockstone Helen , Wright Benjamin , Akawi Nadia , Akoumianakis Ioannis , Badi Ileana , Polkinghorne Murray , Farid Shakil , Srivastava Vivek , Krasopoulos George , Channon Keith M , Antoniades Charalambos
Published: April 2022

Introduction:
The biology of human vascular wall is implicated in cardiovascular pathology. We applied discovery transcriptomics to internal mammary arteries (IMAs) obtained from cardiac surgery patients, to identify pathways that can be treated therapeutically.

Methods:
Weighted correlation network analysis was conducted in sequencing data from IMAs RNA in 205 patients (Arm 1). Association with future incidence of major adverse cardiovascular events [MACE: cardiovascular death (CVD), non-fatal myocardial infarction or stroke, or new-onset heart failure] was assessed with Cox regression models (adjusted for age, sex, hypertension, dyslipidaemia, diabetes mellitus, and plasma TNFa). Arm 2 included 497 patients in whom segments of IMA were used for ex-vivo quantification of NADPH-stimulated superoxide by lucigenin chemiluminescence.

Results:
We identified 10 coexpressed gene ‘modules’ in the human arterial wall, through unsupervised transcriptomic analysis. The “red” module was found to cluster with arterial NADPH oxidase activity, while its eigengene values had the most significant correlation (
a
). Patients with high eigengene values for the “red” module showed a 3-fold higher risk of MACE (
b
), and enrichment analysis revealed top pathways (
c
). The Study Arm 2 population was followed up for a median of 6.35 years [IQR: 3.97-8.38], with 50 CVD and 101 MACE. High NADPH oxidases activity was independently predictive of cardiovascular mortality (
d
) and MACE (adj. hazard ratio 1.58 [1.07-2.36], p=0.02).

Conclusion:
We demonstrate that arterial oxidative stress leads to high risk of MACE in patients with atherosclerosis. We also identify a novel, redox-related arterial transcriptomic signature that predicts long-term cardiovascular risk. Pathways related with oxidative stress, or glucose metabolism or Hypoxia-Inducible Factor-1 in the human arterial wall, may be rational therapeutic targets to reduce cardiovascular risk in secondary prevention.
Abstract 12003: TN-C Promotes Cardiac Fibrosis and Endothelial Dysfunction in Duchenne Muscular Dystrophy
Authors: Szabo Petra Lujza L , Inci Milat , Ebner Janine , Hilber Karlheinz , Abraham Dietmar , Trojanek Sandra , Costantino Sarah , Paneni Francesco , Kiss Attila , Podesser Bruno
Published: April 2022

Background:
Cardiac fibrosis and heart failure are major contributors to mortality in Duchenne muscular dystrophy (DMD) patients. Recently, it has been found that Tenascin C (TN-C) plays a maladaptive role in adverse left ventricular (LV) remodelling and fibrosis.

Aims:
To 1) elucidate the vascular dysfunction and cardiac fibrosis in link to TN-C in a mouse model of DMD and 2) explore the effect of knocking out TN-C in dystrophic mice.

Methods:
Male wt, mdx and mdx TN-C KO mice were used. Echocardiography was performed, and fibrosis was assessed on cardiac tissue sections. To test the vascular reactivity wire myography was used and CD31+ endothelial cells (ECs) were isolated from mouse lung tissues and characterized for oxidative stress and inflammatory marker expression. To explore further the signalling pathways contributing to cardiac fibrosis, human cardiac fibroblasts (hCFs) were treated with TN-C or TGF-β, then fibrotic markers and epigenetic regulation of p65 were assessed.

Results:
Cardiac fibrosis was markedly enhanced in
mdx
mice compared to age-matched wt animals. This was accompanied by upregulation of TN-C in cardiac tissue and plasma. In addition, vascular endothelial function was impaired in
mdx
mice. In line with that, endothelial cells isolated from
mdx
mice also showed a marked upregulation of oxidative stress and inflammatory markers. Interestingly, mdx- TN-C KO mice showed preserved vascular function as well as reduced cardiac fibrosis compared to age-matched
mdx
mice. hCFs treated with TN-C or TGF-β showed increased collagen production and elevated α-SMA and matrix metalloproteinase 2, 3 and 9 (MMP-2, 3 and 9) expressions. TN-C siRNA reduced the expression of collagen and α-SMA, but not MMPs. In addition, both TN-C and TGF-β promote p65/ NF-κB promoter demethylation and subsequently stimulate pro-inflammatory and pro-fibrotic signalling. These effects were reversed by applying p38 MAPK inhibitor in hCFs.

Conclusions:
TN-C facilitates oxidative stress and inflammation in ECs and fibroblasts, contributing to severe endothelial dysfunction and cardiac fibrosis. In addition, activation of NF-κB p65 signalling pathway may play a role in TN-C induced fibrosis. Thus, TN-C may be a critical mediator and potential target for therapy in DMD.