bluuebunny/crossref_metadata_2025 huggingface dataset:
Applying Meta-Frontier Approaches to Profitability Estimation: In Case of the Effects of Official Independent Directors
Authors: Xu Xiaozhi , Chou Lichen , Lu Qing , Tian Yaqi
Published: August 2022

The meta-frontier approach can mathematically understand the production dynamics. With the help of meta-frontier approach differences, the efficiency of income and earnings between companies with different structure can be estimated. Considering the great influence of independent directors on the economic market, this study estimated such effects from the perspective of production function models. It is found that the revenue efficiency results can be optimized without considering the technology heterogeneity for listed companies. When considering the common production boundary, there is an issue that the revenue efficiency of listed companies that own official independent directors is lower than other listed companies that without official independent directors, and the empirical results show that the withdrawal of official independent directors in the market has a positive impact on the profitability of the company.
Identification of Hippuric Acid and Phenols in the Urine of Workers with Occupational Exposure
Authors: Hakeem Israa J. , Abeyie Melese
Published: August 2022

The current study was conducted on workers in the printing industry in Addis Ababa, the capital and largest city of Ethiopia, which has grown significantly in recent years, providing work for a large number of people whose health motivates us to carry out this work. Because these workers handle substances that appear innocuous but are toxic to human health, such as paint products like VOCs, inhaling these volatile and organic solvents is involuntary. If chronic, it manifests in various symptomatic forms in humans, such as changes in psychomotor function or organ damage, highlighting the need to investigate and evaluate their toxicity depending on the degree of aversion and repercussions experienced by those exposed to this type of solvent. The study was conducted on 40 workers who work in randomly selected locations in Addis Ababa, Ethiopia. For the quantification of total hippuric acid and phenols in urine, two different methods were used. Finally, a survey was carried out to obtain information on the level of knowledge of the toxicity of the chemical substances that use the degree of protection; once the results of the quantitative analyses were obtained and supplemented with the data made by the personal interview, it allowed us to obtain the necessary information to carry out the statistical evaluation and thus to interpret the real substance of the occupational exposure of contamination to which these workers are exposed. The total phenols found averaged [Formula: see text], and hippuric acid is [Formula: see text]. These values indicate benzene and toluene exposure because they exceed WHO reference values in urine.
Dynamic Cause Analysis of Quantitative Investment Using Grey Correlation Analysis
Authors: Rong Bangwei
Published: August 2022

Quantitative investment itself has very complex operational logic, and how to effectively analyze the dynamic causes of quantitative investment has always been an urgent problem to be solved. This paper proposes a dynamic quantitative analysis of investment based on the gray relational analysis model, which reduces the influence of subjective factors and improves the objectivity of evaluation results through the selection of reference sequences. The results show that the method has significant analytical performance and can provide users with good guidance for quantitative investment.
Innovative Application of Artificial Intelligence in the Field of Innovation and Entrepreneurship of College Students in Internet Colleges and Universities
Authors: Bai Liping , Sun Fei , Wang Wenhao
Published: August 2022

With the promotion and development of artificial intelligence, the computer major has become a hot major in innovation and entrepreneurship education. It is increasingly essential to carry out a refined evaluation of creativity and venture education to achieve professional differentiation. The purpose of this paper is to study and explore the innovative use of AI in the field of innovation and entrepreneurship of college students in Internet universities. In the article, AI is first introduced. AI is inherently a novel instrument of human praxis, a tool of productivity that embodies human ability and volition. Then we analyze the innovation and venture education on the ground of the BP neural network, and finally, we conduct an empirical study on the innovation and venture on the ground of the BP neural network. Innovation and entrepreneurship refer to entrepreneurial activities based on one or several innovations in technological innovation, product innovation, brand innovation, service innovation, business model innovation, management innovation, organizational innovation, market innovation, and channel innovation. The report analyzes the influencing factors of creative venture education and designs an evaluation model of creative venture education. The test shows that the output of the BP neural network is the actual value, the real worth is reasonable, and the desired worth is also reasonable. The maximum error between the two is 1.64%. The results tend to be generally satisfactory. The BP neural network model can highly generalize students’ creative venture abilities, increasing the practical application value and research scope of BP neural networks.
Construction of an Epithelial-Mesenchymal Transition-Related Model for Clear Cell Renal Cell Carcinoma Prognosis Prediction
Authors: Zhu Shimiao , Wu Tao , Ji Ziliang , Wu Zhouliang , Lin Hao , Shen Chong , Yang Yinggui , Zheng Qingyou , Hu Hailong
Published: August 2022

Background. A rising amount of data demonstrates that the epithelial-mesenchymal transition (EMT) in clear cell renal cell carcinomas (ccRCC) is connected with the advancement of the cancer. In order to understand the role of EMT in ccRCC, it is critical to integrate molecules involved in EMT into prognosis prediction. The objective of this project was to establish a prognosis prediction model using genes associated with EMT in ccRCC. Methods. We acquired the mRNA expression profiles and clinical information about ccRCC from TCGA database. In this study, we measured differentially expressed EMT-related genes (DEEGs) by two comparison groups (tumor versus normal tissues; “stages I-II” versus “stages III-IV” tumor tissues). Based on classification and regression random forest models, we identified the most important DEEGs in predicting prognosis. Afterwards, a risk-score model was created using the identified important DEEGs. The prediction ability of the risk-score model was calculated by the area under the curve (AUC). A nomogram for prognosis prediction was built using the risk-score in combination with clinical factors. Results. Among the 72 DEEGs, the classification and regression random forest models identified six hub genes (DKK1, DLX4, IL6, KCNN4, RPL22L1, and SPDEF), which exhibited the highest importance values in both models. Through the expression of these six hub genes, a novel risk-score was developed for the prognosis prediction of ccRCC. ROC curves showed the risk-score performed well in both the training (0.749) and testing (0.777) datasets. According to the survival analysis, individuals who were separated into high/low-risk groups had statistically different outcomes in terms of prognosis. Besides, the risk-score model also showed outstanding ability in assessing the progression of ccRCC after treatment. In terms of nomogram, the concordance index (C-index) was 0.79. Additionally, we predicted the differences in response to chemotherapy drugs among patients from low- and high-risk groups. Conclusion. Gene signatures related to EMT could be useful in predicting ccRCC prognosis.
Music Genre Classification Algorithm Based on Multihead Attention Mechanism
Authors: Cheng Peng
Published: August 2022

Retrieving music information is indispensable and divided into multiple genres. Music genres can be attributed to set categories, which are the indispensable functions of intelligent music recommendation systems. To improve the effect of music genre classification and model construction, combined with the music genre classification algorithm, this paper combines the multihead attention mechanism to study the music genre classification algorithm model, and it analyzes the key technology of music beamforming. Moreover, this paper has made a detailed description and derivation of the array antenna model, the principle of music beamforming, and the performance evaluation criteria of music adaptive beamforming. In the second half, the nonblind classical LMS algorithm, RLS algorithm, and variable step size LMS algorithm of adaptive beamforming are studied in detail. A music genre classification algorithm model based on the multihead attention mechanism is constructed. It can be seen from the experimental research that the music genre classification algorithm based on the multihead attention mechanism proposed in this paper has obvious advantages compared with the traditional algorithm, and it has a certain role in music genre classification.
Continuing Care Bundle in Elderly Patients with Rectal Cancer after Radical Resection with Permanent Stoma
Authors: Pan Pan , Chen Lei , Zhang Dan , Rao Shuang , Tao Ying , Fan Lin
Published: August 2022

Objective. A continuing care bundle can achieve a better outcome than a single implementation after discharge. This study aims to investigate the effect of this intervention in elderly patients with rectal cancer after radical resection with a permanent stoma. Methods. Elderly patients diagnosed with rectal cancer underwent radical resection with permanent stoma, they were divided into the control group (n = 42) and bundle group (n = 42). The control group received the conventional care, and the bundle group received the continuing care bundle in addition to the conventional care. At 1- and 3-month after discharge, self-efficacy, self-care knowledge, ability to change stoma appliances, negative emotions, quality of life, and patient satisfaction were observed. Results. The increased levels of self-efficacy, self-care knowledge, and ability to change stoma appliances were displayed in the bundle group after discharge as compared with that in the control group, along with the enhanced score of SF-36 subscales, including physical function (PF), role physical (RP), global health (GH) and vitality (V), social function (SF), and mental health (MH). Furthermore, patients showed alleviated depression and anxiety after the continuing care bundle as compared to those after conventional care. Besides, the bundle groups had higher patient satisfaction than the control group. Conclusions. Continuing care bundle can serve as an effectiveness intervention in elderly rectal cancer patients after radical resection with permanent stoma via increasing self-efficacy and self-care knowledge, enhancing the ability to change stoma appliance, reliving the negative emotion, and improving quality of life and patient satisfaction.
Research on College English Teaching Quality Assessment Method Based on K-Means Clustering Algorithm
Authors: Lang Wang
Published: August 2022

The evaluation of college teachers’ teaching ability is very important. Currently, the indicators for evaluating the quality of college English teaching are unclear and insufficient. This paper evaluates the quality of university classroom teaching from two aspects: students’ learning effect and teachers’ teaching work. This paper employs the K-means algorithm to analyze the relationship between the indicators in the evaluation model and teachers’ teaching ability, finds out the specific factors that affect teaching activities, and guides the implementation of teachers’ teaching work. At the same time, the K-means model is used to evaluate students’ learning effect, identify the relationship between the indicators in the model and teachers’ teaching ability, and find out the specific factors that affect teachers to guide the implementation of teachers’ teaching work. Experiments show that the method proposed in this paper can solve the problem that the evaluation indicators of traditional evaluation methods are not clear and insufficient and can be better applied to teaching evaluation.
The Influence of N2O Emission to Water and Nitrogen Coupling Mechanism in Black Soil under Drip Irrigation Mode
Authors: Lin Yanyu , Yi Shujuan , Wang Mengxue , Nie Tangzhe
Published: August 2022

This experiment is aimed at revealing the main characteristics of N2O emission from soybean in black soil and clarifying the relationship between N2O emission and environmental factors; in this experiment, static chamber-gas chromatography field observation method was used; meanwhile, three different drip irrigation amounts (300 mm, 350 mm, and 400 mm) and five different nitrogen application amounts (0, 63, 72, 81, and 90 kg/hm2) were set up to study the effects of different coupling modes on soybean N2O emission and the relationship between N2O emission and environmental factors. The results showed that the peak value of N2O emission flux of soybean mainly occurred in July and August, and the amount of N2O emission flux in each growth period was flowering-podding period > branching period > seedling period > grain filling period. N2O emission increased with the increase of drip irrigation amount and nitrogen application amount. The effects of drip irrigation and nitrogen application on N2O emission were significantly different. Under the three drip irrigation modes, the N2O emission fluxes of most treatments were significantly correlated with the temperature in that day, and the soil temperature in different soil depths was significantly correlated with the N2O emission fluxes. The correlation relationship between the temperature of each soil layer under drip irrigation 300 mm and N2O emission fluxes was less than that under drip irrigation 350 mm and drip irrigation 400 mm. There was no significant correlation between N2O emission flux and NH4+-N and NO3-N, and there was no significant correlation between N2O cumulative emission and dry matter quality in the aboveground part of soybean. It shows that the emission of N2O itself is affected by multiple environmental factors and shows certain randomness. The research results can provide important theoretical basis and technical support for realizing nitrogen reduction and efficient utilization of soybean water and fertilizer in the black soil region of northeastern part of China.
Case Study on Berthing and Disembarking of Ships and Traffic Organization in Rugao Port of Nantong
Authors: Lu Ping
Published: August 2022

In order to meet the needs of a 12.5 m deep-water channel, Rugao port of Nantong plans to normally berth ship with a draft of 12.0 m. Based on the study of the current situation and development trend of restricted ships entering and leaving Rugao port in Nantong, taking the navigation environment as the boundary condition, and based on the case study of berthing and disembarking of real ships, this paper objectively analyzes and deals with various risks in the process of docking and berthing of restricted ships. The results show that under the smooth and orderly traffic organization, Rugao port in Nantong has the ability to normally berth ships with a draft of 12.0 meters.
Data Amplification for Bearing Remaining Useful Life Prediction Based on Generative Adversarial Network
Authors: Lei Luyao , Li Xiang , Wen Juan , Miao Junhao
Published: August 2022

To deal with the difficulty in bearing remaining useful life prediction caused by the lack of history data, a data amplification method based on the generative adversarial network (GAN) is proposed in this paper, and the parameters of generator and discriminator in the GAN are determined by grid search algorithm. The proposed method is verified by the XJTU-SY bearing data sets from Xi’an Jiaotong University. First, 15 time-domain features related to the bearing life are extracted as the training data of the GAN to generate virtual data that can be used to build bearing life prediction models. Then, support vector regression and the radial basis function neural network are used to construct the bearing prognostic model based on real data, generated data, and mixed data. The results show that the proposed method can make up for the deficiency of data and improve the accuracy of bearing remaining useful life prediction.
Experimental Study on Wave Force on Large-Scale Pier Column Foundation of Sea-Crossing Bridge for Preserving the Marine Environment
Authors: Ge Long-zai , Liu Ming-yang , Liu Hai-yuan , Nurjahan
Published: August 2022

Based on the project sea area where the large-scale sea-crossing bridge is located, the marine environment is facing the threat of severe marine environmental issues such as strong typhoons and big waves. In order to resist the impact of the super wave load, the research focuses on a new structure derived from soft computing techniques in a simulated environment. Since the conventional methods cannot be used for handling such an important problem, soft computing techniques can certainly help to provide simulated solutions. These solutions can be exploited in a real-time environment to test their viability. The overall physical model test of the wave with a scale of 1 : 40 is carried out in this research study by using the proposed methodology. By setting a series of groups such as different wave height, period, water level (pier foundation scouring depth), and wave-current coupling, it is studied that the wave height and period are in positive proportion to the wave force on the pier column structure. However, there is no obvious relationship with the water level change (scouring depth). The buoyancy of the pile cap structure is about 1.27 times greater than that of the pier structure. Compared with the combined wave force of the single wave and wave current, the sensitivity and the relationship have been studied. Using this study and several engineering results completed in the early stage and also verified by the measured data, the results show that the proposed soft computing technique has good accuracy and can provide a reference for the load estimation of large-scale foundation structures.
Application of Intelligent Analysis Technology of Football Video Based on Online Target Tracking Algorithm of Motion Characteristics in Football Training
Authors: Wu Chao , Zhao Xin , Jin Gang
Published: August 2022

Because the scene of football video is fixed and simple, the events in football video, such as shooting and offside , also have clear semantics. At the same time, they have sufficient domain knowledge and have broad application prospects. The research framework of sports video intelligence analysis is usually regarded as a three-level framework, namely, the low-level feature layer, the middle-level key primitive generation layer, and the high-level event analysis layer. A MF_O2T (Moving Feature Online Target Tracking) algorithm is proposed. First, based on the marked first frame image, this algorithm extracts a set of standardized local images from the target areas of visible and infrared images as target convolution filters, removes the main color of the stadium by using HSV color space nonuniform quantization algorithm, and extracts the histogram of the main color of players in upper and lower blocks. Experimental results show that the algorithm designed in this paper has strong robustness, can better adapt to player tracking in different scenes of football video, and meets the real-time requirements of football training.
Urban Arterial Signal Coordination Using Spatial and Temporal Division Methods
Authors: Feng Lei , Zhao Xin , Lin Haobo , Li Rui
Published: August 2022

Traffic signal coordination on urban arterials often requires that timing plans be divided either spatially into clusters of signalized intersections or temporally as time-of-day-based plans. This research proposes a method of dividing timing plans by both spatial and temporal factors simultaneously, in order to provide a dynamic coordinated signal control plan suitable for handling variations in intersection demands and fluctuations in traffic flow. The optimal coordination phase difference of adjacent space coordination subarea is obtained through the method of set operation, so that the spatial subareas can be connected. Similarly, timing plans are dynamically grouped into times of day using the concept of risk decision-making by solving the minimum value of the risk function. Divisions can be further adjusted in real time by changing the conditions, thus resulting in dynamic coordinated signal control. The proposed method was tested in a microscopic simulation of a real-world arterial based on empirical volumes and turning movements. The results showed that the proposed model produced greater reductions in delay and queue length when compared to the methods that subdivide by spatial or temporal thresholds alone. Sensitivity analysis revealed that the proposed method was better suited to imbalances in directional volumes when compared to spatial or temporal division methods alone.
Existence of Solutions of Boundary Value Problem for Nonlinear One-Dimensional Wave Equations by Fixed Point Method
Authors: Gusu Daba Meshesha , Danu Megersa
Published: August 2022

In this article, we investigate the solutions for a class of initial boundary value problems for nonlinear one-dimensional wave equations using a fixed point method. The findings consider initial and boundary data which lead to determining the nature of classes of the nonlinear one-dimensional wave equation. The obtained results indicate the availability of nonnegative solutions which are proved using the method of the fixed point. A new fixed point approach is effective and used as a definitive modeling method to prove the existence of nonnegative solutions for a class of initial boundary value problems based on recent theoretical arguments. The results in this study are considered with examples.
The Application of Unsupervised Learning TF-IDF Algorithm in Word Segmentation of Ideological and Political Education
Authors: Chen Silian , Wu Lina , Zhuo Jiexian
Published: August 2022

Word segmentation is an essential part of Chinese learning. It often plays a decisive role in the quality of language processing results. Its domain vocabulary has the advantages of fast birth of new words and wide coverage. Large vocabulary, which has caused great difficulties in word segmentation and follow-up work in the field. This paper designs and implements a system. The system builds a corpus based on domain literature, trains a word-level language model based on statistical ideas, and uses the Viterbi algorithm to obtain preliminary Chinese word segmentation results. The word optimization algorithm optimizes the preliminary. The system provides users with functions such as keyword extraction, word frequency statistics, and word cloud drawing for the word segmentation results, so as to realize Chinese word segmentation and text analysis of field documents. The experimental results show that building system based on the corresponding ideas has improved the text analysis efficiency, related research on documents and text processing in the field have a certain promotion effect.
Optical Coherence Tomography Position Analysis of Retropupillary Iris-Fixated Intraocular Lens in Iris Tissue
Authors: Riedl Jana C. , Bopp Michael R. , Gross Charlotte F. , Vossmerbaeumer Urs
Published: August 2022

Purpose. The aim of this study was to evaluate a micrometer-accurate analysis of the retropupillary Verisyse® intraocular lens (IOL) (Ophtec, Groningen NL; Santa Ana, USA) enclavation in the iris tissue. Methods. A retrospective consecutive case series was conducted at the Department of Ophthalmology, University Hospital Mainz. Patients with an optical coherence tomography (Spectralis®, Heidelberg Engineering®; Heidelberg, Germany) examination after retropupillary Verisyse® IOL implantation were included retrospectively. The enclavation geometry was measured using the Eye-Explorer® from Heidelberg Engineering® (Heidelberg, Germany). Seventeen measuring positions were determined nasally and temporally at the corresponding enclavation points. Results. 72 eyes of 67 patients after implantation of a retropupillary Verisyse® IOL were analyzed. The average age was 68 ± 17.2 years (63% female; 38% male). The analysis of the position of the Verisyse® IOL showed highly homogeneous data in all measured points. The depth of the anterior chamber showed a positive correlation with width of the posterior deflection of the iris tissue behind the enclavation (Pearson r: 0.321,

p
=
0.041

). The offset of the haptics showed greater deviations, and the lens diopter implanted was higher (r = 0.337,

p
=
0.007

). Conclusion. This is the first study that analysis the exact enclavation of retropupillary implanted Verisyse® IOL. It provides new information about the intrastromal course of the haptics in the iris tissue. It could be shown that the haptics do not run parallel in the iris tissue, but are anchored in the iris tissue with an average offset of 95 µm. This rebuts previous assumptions about the intrastromal course and provides new information.
Quantitative Risk Assessment of Vibrio parahaemolyticus Toxi Infection Associated with the Consumption of Roasted Shrimp (Penaeus monodon)
Authors: Keinko Takoundjou Arnaud Carter , Bughe Rhoda Nsen , Nkoue Tong Abraham , Sado Kamdem Sylvain Leroy , Essia-Ngang Jean Justin
Published: August 2022

In this study, a risk assessment on Vibrio parahaemolyticus infections was carried out in order to estimate the likelihood of gastroenteritis for Cameroonians after consumption of roasted shrimp (Penaeus monodon). The Codex Alimentarius Commission framework was used in this study. Based on the distribution of total V. parahaemolyticus in shrimp and literature information indicating that nonhaemolysing carrier strains could be pathogenic to humans, the cooking, and consumption patterns, the daily exposure level generated in this study, and the dose-response model from other studies, the infectious risk was evaluated and quantified by the Monte Carlo simulation. This simulation was realized based on 10,000 iterations using the Model Risk software, version 4.0, in combination with Microsoft Excel. To better quantify the exposure of consumers and the resulting risk of infection, several scenarios reflecting the minimal, average, and maximal exposures were undertaken. According to the results, the 90% confidence intervals for minimum and maximum exposures ranged from 15 to 24 colony-forming units per day (cells/day) and from 160 to 228 cells/day, respectively. Based on the modal scenario, 90% of the population consuming this shrimp is exposed to V. parahaemolyticus loads ranging from 74 to 110 cells/day, indicating a risk of infection ranging from 1.2 to 1.8 cases per million of consumption. The estimated number of annual disease cases based on annual production is between 1 and 10 cases. This reflects a relatively low risk of infection for roasted shrimp. Good hygiene practices during handling, cooking, and storage may help reduce the actual risk.
Improved On-Demand Travel Route Planning Model with Interest Fields
Authors: Yan Limin
Published: August 2022

Intelligent tourism route planning is an important element of smart tourism, and the current tourism route planning has problems such as strong subjectivity and low personalization considering tourists’ interests. To solve the problems of current tourism route planning, an improved interest field travel route planning model is proposed. Firstly, an intelligent interest field extraction model is established. Secondly, an improved greedy algorithm is designed to reduce the risk of missing the optimal solution, strengthen the local search capability, and improve the solution accuracy of the algorithm. The extracted routes of interest sites are planned, and a motivated iterative value output model is established. The experimental results demonstrate that the selected routes are shorter and less expensive than the traditional model. By iterating the actual data to obtain the iterative values of different tourist route motivations and the sequential guide map of attractions based on tourist interests, the optimal and suboptimal routes that satisfy the tourist motivation interests are analyzed. This model has strong feasibility and practical significance for smart tourism route planning.
Measurement and Parity of Low-Carbon Economic Development Level for Guangzhou Using the SEM Model
Authors: Dang Xue , Chen Yanyu , Meng Liang
Published: August 2022

Due to the major energy consumer and carbon emission, China must change the previous extensive economic development method categorized by great energy consumption, high pollution, and great emissions and develop a low-carbon economy. As a result, this research focuses on the measurement and assessment of low-carbon economy growth in Guangzhou. It contains pertinent study findings as well as the most recent research developments at home and abroad. Furthermore, it searches for and investigates limited socioeconomic development theories, structural model systems, and validity and reliability analysis methodologies. Besides, considering the current condition of low-carbon financial growth in Guangzhou and the issues it faces, this study explores and analyses the key variables impacting the growth of a low-carbon economy. Finally, using the statistical analysis program such as LISREL 8.80, the structural equation model is fitted and changed based on the data validity analysis and test. It generates the measurement and evaluation model data of Guangzhou’s low-carbon economic development level.
Intelligent Financial Processing Based on Artificial Intelligence-Assisted Decision Support System
Authors: Zhao Xinyu , Saeed Omer
Published: August 2022

In order to improve the effect of intelligent financial processing and decision-making, this paper combines the artificial intelligence-assisted decision support system to construct an intelligent financial processing system. Based on the RBF neural network, this paper studies a fast decision-making algorithm based on short-term efficiency in an adaptive burst communication system. The trained RBF neural network can make quick decisions according to the parameters such as the electromagnetic environment information obtained by perception, and has good communication anti-interference ability, good fault tolerance ability and certain generalization ability. Moreover, this paper designs a channel-associated signaling transmission mechanism for adaptive burst communication system, and constructs an intelligent financial processing system based on artificial intelligence-assisted decision support system. The simulation results show that the intelligent decision-making model in this paper has a certain practical effect in the simulation.
Anchor-Free Braille Character Detection Based on Edge Feature in Natural Scene Images
Authors: Lu Liqiong , Wu Dong , Xiong Jianfang , Liang Zhou , Huang Faliang
Published: August 2022

Braille character detection helps communication between normal and visually impaired people. The existing Braille detection methods are all aimed at scanning Braille document images while ignoring natural scene Braille images and CNN shining in the field of pattern recognition is rarely used for Braille detection. Firstly, a natural scene Braille image data set named NSBD was constructed. Then, an anchor-free Braille character detection based on the edge feature was proposed by analyzing that Braille characters in natural scene images that are relatively small in size, and a Braille character is composed of Braille dots that werelocated at the edge region of Braille character. Finally, the performance of the proposed method and other classic methods based on CNN was compared on NSBD. The experimental results show that the proposed method has good performance.
AXL Inhibits Proinflammatory Factors to Relieve Rheumatoid Arthritis Pain by Regulating the TLR4/NF-κB Signaling Pathway
Authors: Zhou Guangzan , Li Hang
Published: August 2022

Objective. This study aims to explore the role and mechanism of AXL receptor tyrosine kinase (AXL) in relieving inflammatory pain caused by rheumatoid arthritis (RA). Methods. RA mouse model was constructed by collagen antibody induction. RT-qPCR and Western blot were used to detect the level of AXL in RA fibroblast-like synovial cells (RA-FLS) and joint synovium. The levels of interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and nitric oxide (NO) were detected by ELISA. The inflammatory infiltration in joints was determined via HE staining. The mechanical abnormal pain and hyperalgesia were detected by the Von Frey microfilament test. The protein levels of inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (3COX-2), toll-like receptor 4 (TLR4), p65, and phosphor (p)-p65 were detected by Western blotting. Results. The expression of AXL in RA-FLS and RA mice was downregulated, while the expression of iNOS and COX-2 was upregulated. The levels of inflammatory cytokines IL-6, TNF-α, and NO were increased in RA-FLS and RA mice. RA mice presented inflammatory cell infiltration, bone and cartilage destruction, and joint space stenosis. AXL overexpression alleviated inflammatory cell infiltration, inflammatory cytokine secretion, and pathological injury in RA mice. Additionally, AXL overexpression inhibited the expression of TLR4 and p-p65. Conclusion. AXL inhibits inflammatory pain in RA mice by suppressing TLR4/NF-κB pathway.
Study on the Diagnostic Value of Contrast-Enhanced Ultrasound and Magnetic Resonance Imaging in Prostate Cancer
Authors: Pang Xinnian , Zhang Jianhua , Chen Lvcou , Yuan Yang , Xu Dong
Published: August 2022

Objective. The aim is to study the different roles of single and joint application of magnetic resonance imaging (MRI) and contrast-enhanced ultrasound (CEUS) in prostate malignant tumors. Methods. 72 patients with prostate masses who underwent CEUS and MRI examination in our hospital from October 2021 and March 2022 were enrolled in this research. The differentially diagnostic roles of CEUS, MRI, and CEUS combined MRI for prostate cancer was assessed on basis of pathological findings as the reference standard. The specificity and sensitivity of the joint application for prostate malignant tumors with various prostate-specific antigen (PSA) levels were also evaluated. Results. The sensitivity of CEUS, MRI, and the joint application for prostate cancer were 72.1%, 74.4%, and 90.7%, respectively. Compared with single application, the sensitivity of CEUS combined with MRI was significantly higher. The specificity of MRI, CEUS, and the combination of the two for prostate cancer were 82.8%, 79.3%, and 89.7%, respectively, and the statistical differences for specificity were not found. The area under ROC curve (AUC) of CEUS combined with MRI in prostate malignant tumor diagnosis was obviously more than that of CEUS and MRI (

P
<
0.05

). CEUS combined with MRI has relative high sensitivity in these patients with different levels of PSA. Conclusions. Contrast-enhanced ultrasound combined with MRI can significantly improve the sensitivity and specificity of prostate cancer diagnosis so that patients can be better diagnosed in advance.
Penile Hair Tourniquet Syndrome (PHTS): A Case Report of a Two-Year-Old Boy
Authors: Baarimah Alhareth , Dar Latif , Dashnan Rayan , Alshahrani Saeed , Beaiti Mohammed , ALDhabaan Khaled
Published: August 2022

Penile hair tourniquet syndrome (PHTS) is an unusual phenomenon. A physician should have a high index of suspicion when a circumcised child presents with glans swelling and inflammation. It must be considered a surgical emergency, as early diagnosis and treatment can prevent complications (e.g., urethra-cutaneous fistula, complete urethral transection, penile gangrene, and penile amputation). We report a case of two-year-old boy to highlight the importance of early diagnosis and prompt treatment.
An Efficient Multiscale Pyramid Attention Network for Face Detection in Surveillance Images
Authors: Liu Ming , Cai Ruijie , Li Lukai , Wang Jiafeng , Yang Qichao
Published: August 2022

Although a large number of works have been done to explore efficient face detection in various scenes, practical face detection in unconstrained condition of varying lighting, pose, scale, and occlusion remains a challenging task. The primary limitation of existing solutions is that they are vulnerable to influence from the wild environment. Practical features extraction plays a crucial part in the face detection of low-quality images. Based on the EfficientNet, this paper builds a novel pyramid attention network to integrate multilevel features with rich context messages. Firstly, a context model is exploited to increase the receptive fields at the beginning of the network. Secondly, stacked pyramid feature attention modules and feature fusion simultaneously selectively integrate the contextual information and enable spatial details, thus enhancing the capacity to detect faces on hard images. In addition, hard samples augmentation of the training sets is conducted, which is beneficial for improving the accuracy. A thorough study on ablation verifies the effect of the proposed strategies. Moreover, extensive experiments on Wider Face and FDDB datasets, remarkably pushing the accuracy both of 96.3% (2%↑), demonstrate the performance of the proposed deep face detector which is superior and outperforms most of the preexisting methods. The method presented in this paper can perform the task of face detection in surveillance images well.
Binary Symmetric Polynomial-Based Protected Fair Secret Sharing and Secure Communication over Satellite Networks
Authors: Guo Chao , Pan Chenglei , Hu Guangyu , Xie Dingbang , Zuo Peiliang , Han Yanyan
Published: August 2022

The rapid establishment of the low Earth orbit (LEO) satellite network in orbit has promoted the development of satellite communication technology. However, with the reduction of access conditions of satellite networks, the problems of data protection and secure communication have attracted extensive attention. A secret sharing scheme is a cryptographic technology that can disperse risks and tolerate intrusion by dividing and storing secrets. Using secret sharing technology in satellite communication can realize information security and data confidentiality. However, if there are cheaters among the participants, existing secret sharing schemes cannot prevent cheaters from sharing secrets exclusively, even if they can detect attacks. For this reason, this paper proposes a satellite based on binary symmetric polynomials protected fair secret sharing and secure communication scheme. In satellite secret refactoring, this scheme can produce a shared session key between two participants, no other key agreement processes, and reduce the scheme in the shared secret and the actual communication satellite application complexity. Users use the session key to encrypt communication to improve security and resist external attacks. The safety and fairness of the scheme are proved against the four attack models. Compared with the existing schemes, the scheme has a lower cost of deception identification on the premise of satisfying security and fairness. This scheme does not require any cryptographic assumptions and is unconditionally secure.
[Retracted] The Predictive Value of Neutrophil‐Lymphocyte Ratio in Patients with Polycythemia Vera at the Time of Initial Diagnosis for Thrombotic Events
Authors: Wang Xuekun , Tu Yansong , Cao Mei , Jiang Xiaoyan , Yang Yazhi , Zhang Xiaoyan , Lai Hurong , Tu Huaijun , Li Jian
Published: August 2022

Objective. To investigate and discuss the predictive value of the neutrophil‐to‐lymphocyte ratio (NLR) in patients with polycythemia vera (PV) at the time of initial diagnosis, as well as its clinical significance in predicting the occurrence of thrombotic events and the progression of future thrombotic events during follow‐ups, with the goal of providing a reference for the early identification of high‐risk PV patients and the early intervention necessary to improve the prognosis of PV patients. Method. A total of 170 patients diagnosed with PV for the first time were enrolled in this study. The risk factors affecting the occurrence and development of thrombotic events in these patients were statistically analyzed. Results. NLR (P = 0.030), WBC count (P = 0.045), and history of previous thrombosis (P < 0.001) were independent risk factors for thrombotic events at the time of initial diagnosis. Age ≥ 60 years (P = 0.004), NLR (P = 0.025), history of previous thrombosis (P < 0.001), and fibrinogen (P = 0.042) were independent risk factors for the progression of future thrombotic events during follow‐ups. The receiver operating characteristic curve (ROC curves) showed that NLR was more effective in predicting the progression of future thrombotic events than age ≥ 60 years, history of previous thrombosis, and fibrinogen. Kaplan‐Meier survival analysis showed progression‐free survival time of thrombotic events in the high NLR value group (NLR ≥ 4.713) (median survival time 22.033 months, 95% CI: 4.226‐35.840), which was significantly lower compared to the low NLR value group (NLR < 4.713) (median overall survival time 66.000 months, 95% CI: 50.670‐81.330); the observed difference was statistically significant (P < 0.001). The 60‐month progression‐free survival in the low NLR value group was 58.8%, while it was 32.8% in the high NLR value group. Conclusion. Peripheral blood NLR levels in patients with PV resulted as an independent risk factor for the occurrence of thrombotic events at the time of initial diagnosis and for the progression of future thrombotic events during follow‐ups. Peripheral blood NLR levels at the time of initial diagnosis and treatment had better diagnostic and predictive value for the progression of future thrombotic events in patients with PV than age ≥ 60 years, history of previous thrombosis, and fibrinogen.
Study on the Effect of Positive Psychological Intervention Based on PERMA Model on Perioperative Patients with AIDS Complicated with Breast Cancer
Authors: Luo Lingmei , Li Ying , Zhou Zhou , Yang Saifen , Qin Yao , Peng Hua , Wang Yirong , Li Zhe , Yin Tianqin
Published: August 2022

Objective. To study the effect of positive psychological intervention based on PERMA model on perioperative AIDS patients complicated with breast cancer. Methods. A total of 120 perioperative patients with AIDS complicated with breast cancer treated in our hospital from January 2021 to December 2021 were randomly divided into research group (

n
=
60

) and control group (

n
=
60

). The research group received positive psychological intervention based on PERMA model, while the control group received routine nursing. The scores of disease uncertainty scale (MUIS), Frankl treatment compliance scale, cancer-related fatigue scale, self-rating anxiety scale (SAS), self-rating depression scale (SDS), and quality of life scale EORTCQLQ-C30 (v3.0) were studied. Results. After 12-week nursing, the MUIS score of the research group was lower than that of the control group, and the difference was statistically significant (

P
<
0.05

). After 12 weeks of nursing, the score of Frankl treatment compliance scale in the research group was higher than that in the control group, and the difference was statistically significant (

P
<
0.05

). Following 12-week nursing, the scores of SAS and SDS in the research group were lower than those in the control group, and the difference was statistically significant (

P
<
0.05

). After 12 weeks of nursing, the score of cancer-related fatigue scale in the research group was lower than that in the control group, and the difference was statistically significant (

P
<
0.05

). The EORTCQLQ-C30 (v3.0) scale-symptom domain score in the research group was lower than that in the control group following 12-week nursing, and the difference was statistically significant (

P
<
0.05

). After 12 weeks of nursing, the EORTCQLQ-C30 (v3.0) scale-overall health domain score and functional domain score in the research group were higher than those in the control group, and the difference was statistically significant (

P
<
0.05

). Conclusion. The application value of positive psychological intervention based on PERMA model in perioperative patients with AIDS complicated with breast cancer is more significant. It contributes more to treatment compliance and improves negative feelings of anxiety and depression.
DNA-Damage-Repair Gene Alterations in Genitourinary Malignancies
Authors: Dariane Charles , Timsit Marc-Olivier
Published: August 2022

Background: High-fidelity repair of DNA damage repair (DDR) (either single-strand- [SSBs] or double-strand breaks [DSBs]) is necessary for maintaining genomic integrity and cell survival. DDR alterations are commonly found in genitourinary malignancies involving either DSB repair by the homologous recombination (HR) repair (HRR) system (BRCA1/2 pathway) or the SSB repair through the poly (ADP-ribose) polymerase (PARP) pathway. PARP inhibitors (PARPi) exploit defects in the DNA repair pathway through synthetic lethality, DSBs being repaired only in HR-proficient cells but not in HR-deficient (HRD) cells. Summary: A growing body of evidence supports the need for identification of germinal and somatic DDR alterations in patients with genitourinary malignancies. PARPi have already shown significant survival benefits in patients harboring HRR mutations in advanced settings, paving the way for precision medicine. Key Messages: In advanced prostate cancer (PCa), somatic mutations in HRR pathway are observed in up to 27% of metastatic resistant-to-castration PCa (mCRPC), although occurring early in PCa development, and mainly involving BRCA2, ATM, CHEK2, and BRCA1. Overall, germinal alterations are present in roughly 30–50% of cases of HRR alterations, and relative risk of PCa in germinal BRCA2 alteration carriers is 4.65-fold higher compared to noncarriers. Determination of DDR gene status is recommended in metastatic patients, a fortiori in mCRPC setting, since it could be a putative biomarker of response to first line of treatment (androgen-receptor signaling inhibitors [ARSI] vs. taxane-based chemotherapy) and allows to assess eligibility for PARPi use. Thus, olaparib (combined with androgen deprivation therapy) recently improved overall survival in mCRPC HRD patients, after new hormonal therapy (NHT) and led to its approvement for patients with an alteration in 14 of 15 prespecified HRR genes. Moreover, since preclinical data suggested synergic action between PARPi and ARSI, the use of either olaparib or niraparib has also been proposed in combination with NHT, with a radiological progression-free survival improvement when used with abiraterone. In urothelial carcinoma, a DDR gene alteration is identified in 23–54% of patients mostly in muscle-invasive bladder cancer, with a strong association between DDR gene mutation and a higher tumor mutation burden and sensitivity to cisplatin-based chemotherapy and immunotherapy. Recent phase 2 trials supported the use of HRR status to select patients for PARPi treatment in advanced urothelial carcinoma. Finally, in renal cell carcinomas (RCCs), pathogenic germline variants in DDR genes were identified in 7.3% of the cases, and deleterious somatic alterations have also been described as recurrent genomic events in patients with advanced RCC.