bluuebunny/crossref_metadata_2025 huggingface dataset:
Augmented Reality Based Video Shooting Guidance for Novice Users
Authors: Li Jiefeng , She Yingying , Liu Fang , Yu Chun , Wang Xiaoli , Xu Yuxin
Published: September 2022

Using mobile phones to shoot video is considerably common in our daily life. However, novice users have difficulty in controlling the camera properly due to lack of professional knowledge and skill. In this paper, in order to assist novice users in learning and imitating professional camera movement from watching high quality sample videos, we propose ARCAM, an Augmented Reality (AR) based video shooting guidance method for novice users. Using AR, we visualized the concept of camera movement and embedded it into natural scene to provide real-time guidance. User can follow the guidance while shooting video by matching a calibration frame to the guidance, to achieve the desired camera movement. We conducted a user study comparing the effectiveness of ARCAM to a traditional static arrow guidance. Results showed that ARCAM was more effective in helping users understand the camera work in the sample videos and move the camera with more accuracy. Our work provides insights on designing mobile video shooting application and suggests that AR has great potential in assisting novice video shooters.
Towards Porting Operating Systems with Program Synthesis
Authors: Hu Jingmei , Lu Eric , Holland David A. , Kawaguchi Ming , Chong Stephen , Seltzer Margo
Published: September 2022

The end of Moore’s Law has ushered in a diversity of hardware not seen in decades. Operating system (OS) (and system software) portability is accordingly becoming increasingly critical. Simultaneously, there has been tremendous progress in program synthesis. We set out to explore the feasibility of using modern program synthesis to generate the machine-dependent parts of an operating system. Our ultimate goal is to generate new ports automatically from descriptions of new machines.

One of the issues involved is writing specifications, both for machine-dependent operating system functionality and for instruction set architectures. We designed two domain-specific languages: Alewife for machine-independent specifications of machine-dependent operating system functionality and Cassiopea for describing instruction set architecture semantics. Automated porting also requires an implementation. We developed a toolchain that, given an Alewife specification and a Cassiopea machine description, specializes the machine-independent specification to the target instruction set architecture and synthesizes an implementation in assembly language with a customized symbolic execution engine. Using this approach, we demonstrate the successful synthesis of a total of 140 OS components from two pre-existing OSes for four real hardware platforms. We also developed several optimization methods for OS-related assembly synthesis to improve scalability.

The effectiveness of our languages and ability to synthesize code for all 140 specifications is evidence of the feasibility of program synthesis for machine-dependent OS code. However, many research challenges remain; we also discuss the benefits and limitations of our synthesis-based approach to automated OS porting.
Profile Characteristics and Evolution in Combined Laser and Electrochemical Machining
Authors: Wang Yufeng , Yang Yong , Li Yulei , Shao Fuhui , Zhang Wenwu
Published: September 2022

Machining small holes with high efficiency and high surface quality remains a challenging issue. Laser and shaped tube electrochemical machining (LSTEM) has been proposed to process small holes, in which material removal is by a combination of laser processing and enhanced electrochemical machining. This study explored the evolution and characteristics of the machined profile of LSTEM to elucidate its material removal mechanisms. Results showed that these are related to the interelectrode gap (IEG) and laser power. LBM dominated the material removal process when the IEG was larger than 0.2 mm. When the laser power was greater than 4 W, the material at the central machining area could be directly removed by LBM with higher efficiency than ECM, and the central depth was larger than the surrounding depth in the machining zone. Variation of the electric current in the machining process has been acquired to monitor the status of LSTEM. Small holes with depths of 6.5 and 60 mm have been machined. Further, small holes with diameters of 1.35 mm were fabricated on the thermal barrier coated workpiece by LBM and LSTEM successively.
Corrosion Inhibition Effects of Corrosion Products on High-purity Mg and AZ91D under Thin Electrolyte Layers
Authors: Dan Ningning , Yang Yao , Ying Tao , Zeng Xiaoqin
Published: September 2022

In this work, the effects of deposited corrosion products on corrosion rates and pseudo-passivation behavior of high-purity (HP) Mg and AZ91D under thin electrolyte layers (TEL) and in a bulk solution were investigated. Low corrosion rates and pseudo-passive behavior can be maintained over time under TEL, especially under extremely thin electrolytes (100 μm and 200 μm TEL). Pseudo-passivation behavior of HP Mg under TEL is caused by the corrosion product films formed on the metal surface. The deposited corrosion products on HP Mg and AZ91D are composed of metal hydroxides, oxides and carbonates. Moreover, the pH of the TEL is lower than that in bulk solution. This might contribute to the dissolution of Mg hydroxide in the corrosion products.
Gut reactions: emerging mechanisms of abdominal pain from food intake
Authors: Aguilera-Lizarraga Javier
Published: September 2022

Abdominal pain, which is a form of visceral pain, is a highly prevalent symptom worldwide frequently occurring following food ingestion. Its pathophysiology is complex, and many factors, including intestinal environmental cues, the immune system, or the molecular composition of foods, can influence the development of postprandial abdominal pain. Because of the poor efficacy of drug treatments, current strategies are often limited to the exclusion of culprit food(s) from the diet. However, there are two important limitations to this approach. First, patients suffering from food-induced abdominal pain usually recognize several food items as the cause of their gastrointestinal symptoms. Second, not all offending foods can always be identified by these patients. Newly identified mechanisms involving neuroimmune interactions and their communication with the intestinal microbiota shed light on the development of new therapeutic strategies. In this Mini-Review, these novel mechanisms and relevance of such findings are highlighted.
Wireless Mobile Power Communication System Based on Artificial Intelligence Algorithm
Authors: Du Juan , Guo Mingqi
Published: September 2022

In order to solve the problems of low-risk assessment accuracy and long time-consuming assessment of current wireless mobile communication systems, a wireless mobile communication system based on artificial intelligence algorithms is proposed. First, the research status of risk assessment of wireless mobile communication system at home and abroad is analyzed, and the risk assessment index system of wireless mobile communication system is established; then, the learning samples are collected according to the risk assessment index system of wireless mobile communication system, and artificial intelligence algorithm is used to optimize the neural network. Build the wireless mobile communication system risk assessment model; finally, carry out the wireless mobile communication system risk assessment simulation comparison test. The experimental results show that the accuracy rate of the risk assessment of the wireless mobile communication system by the artificial intelligence algorithm is over 95%, and the assessment error is smaller than in other models. The risk assessment time of the wireless mobile communication system is significantly reduced, the real-time performance is better, and it has a higher practical application value.
Financial Fraud Identification Based on Stacking Ensemble Learning Algorithm: Introducing MD&A Text Information
Authors: Zhang Zhiheng , Ma Yong , Hua Yongjun
Published: September 2022

In recent years, there have been frequent incidents of financial fraud committed through various means. How to more efficiently identify financial fraud and maintain capital market order is a problem that scholars from all walks of life are discussing and urgently seeking to resolve. In this study, a financial fraud identification model is constructed based on the stacking ensemble learning algorithm, and the text of the management discussion and analysis (MD&A) chapter in annual reports is introduced based on financial and nonfinancial variables, using sentiment polarity, emotional tone, and text readability as text variables. The results show that when considering financial and nonfinancial variables and introducing text variables, the recognition effect of the stacking ensemble learning model constructed in this study is significantly better than the classification results of each single classifier model. In addition, the model recognition effect is better after adding text variables. Therefore, the model is expected to provide a new and more effective method of identifying financial fraud.
CMTM3 as a Potential New Immune Checkpoint Regulator
Authors: Shen Qian , Cong Zhirong , Zhou Ying , Teng Yue , Gao Jin , Tang Weiyan
Published: September 2022

Objectives. To evaluate the role of CKLF-like MARVEL transmembrane domain containing 3 (CMTM3) in tumor microenvironment and cancer immunotherapy and explore its potential mechanism. Method. The cancer genome map was obtained from the UCSC Xena database. RNAseq data from the Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA) databases were utilized for evaluating the expression and prognostic value of CMTM3 through survival data of clinical trials. The enrichment analysis of CMTM3 was performed using the R package “clusterProfiler.” The scores of immune cell infiltration in TCGA samples were downloaded from the ImmuCellAI database and TIMER2 database, and the relationship between both immune cell invasion and CMTM3 expression was investigated. Immunological activation and suppression genes, immune checkpoints, chemokines, and their receptors were all investigated in relation to CMTM3. Results. Most tumor types had varied levels of CMTM3 expression and predicted poor survival status. The CMTM3 expression is closely associated with cancer-associated fibroblasts, macrophages, myeloid dendritic cells, endothelial cells, immune activation genes, immune suppressor genes, immune checkpoints, chemokines, and related receptors. Conclusion. Our data reveal that CMTM3 might be used as a cancer biomarker. CMTM3 may work in conjunction with other immunological checkpoints to alter the immune milieu, which could lead to the establishment of new immunotherapy medicines.
Fuzzy Adaptive Prescribed Performance Fault-Tolerant Control for HFVs with Fixed-Time Convergence Guarantee
Authors: Dong Zehong , Li Yinghui , Lv Maolong , Zhao Zilong , Pei Binbin
Published: September 2022

A new fixed-time fuzzy adaptive fault-tolerant control methodology is proposed for the longitudinal dynamics of hypersonic flight vehicles (HFVs) in the presence of actuator faults, uncertain dynamics, and external disturbances. In contrast with the conventional fixed-time control schemes that typically contain the fractional powers of errors in their designs, this work develops a low-complexity control structure in the sense of removing the dependence on the need of abovementioned fractional power terms by means of prescribed performance control (PPC) method. Different from the most existing PPC approaches where the initial conditions of tracking errors are required to be known, the newly proposed prescribed performance function (PPF) can relax such restrictions through choosing properly small initial values of PPF. Fuzzy logic systems (FLSs) are employed to handle unknown dynamics, and minimal learning parameter (MLP) technique is incorporated into the design for the purpose of alleviating computation burden. Closed-loop stability is rigorously proved via Lyapunov stability theory, and simulation results are eventually given to validate the effectiveness of the proposed control strategy.
Circ_0000189 Promotes the Malignancy of Glioma Cells via Regulating miR-192-5p-ZEB2 Axis
Authors: Yang Jian , Hou Guoqiang , Chen Hongjin , Chen Weilin , Ge Jianwei
Published: September 2022

Background. Some recent studies have reported the role of circular RNAs (circRNAs) in modulating the tumorigenesis of human malignancies. Nevertheless, the expression characteristics, biological functions, and regulatory mechanism of circ_0000189 in glioma are unclear. Methods. Quantitative real-time polymerase chain reaction (qRT-PCR) was utilized to detect the expression levels of circ_0000189, miR-192-5p, and ZEB2 mRNA in glioma tissues and cells. The association between the expression of circ_0000189 and the clinicopathological indicators and the features of magnetic resonance imaging (MRI) images of glioma patients were analyzed. Western blot was utilized to evaluate ZEB2 expression and epithelial-mesenchymal transition (EMT-)-related proteins (E-cadherin, N-cadherin, as well as Vimentin) in glioma cells. Cell proliferation was assessed employing cell counting kit-8 (CCK-8) and EdU experiments. Flow cytometry was used to detect the apoptotic rate of the cells. Cell migration and invasion were accessed employing Transwell assay. Moreover, dual luciferase reporter gene assay and RNA immunoprecipitation assay were employed to investigate the targeting relationship between miR-192-5p and circ_0000189, miR-192-5p, and ZEB2. Subcutaneous tumorigenesis experiment and lung metastasis experiment in nude mice were conducted to verify the regulatory function of circ_0000189 on the proliferation and metastasis of glioma cells in vivo. Results. circ_0000189 was markedly overexpressed in glioma tissues and cell lines. Its high expression was associated with poor clinical pathological indicators and adverse MRI signs. Gain-of-function experiments and loss-of-function experiments confirmed that circ_0000189 overexpression facilitated the proliferation and migration, as well as invasion of glioma cells, and suppressed apoptosis, and facilitated epithelial-mesenchymal transition (EMT) process. Compared to the control group, knocking down circ_0000189 suppressed the malignant phenotypes of glioma cells both in vivo and in vitro. Working as a competitive endogenous RNA, circ_0000189 directly targeted miR-192-5p, and repressed its expression, and circ_0000189 positively modulated ZEB2 expression indirectly via repressing miR-192-5p. Conclusion. circ_0000189 facilitates the progression of glioma by modulating miR-192-5p/ZEB2 axis.
Camouflage Tasks Planning Method for Group Target Operations Based on the Evolution of Resource Constraint
Authors: Liu Chaochang , Xu Weidong , Yang Xin
Published: September 2022

Aiming at the problems of too many information points, complex tasks and resources matching, and too many non-inferior solutions in the process of group target operation camouflage planning, a target model and constraint model for group target operation camouflage planning have been established based on improved genetic algorithm. Through the resource constraint adjustment operator and discretization coding, the matching of tasks and resources and the adjustment of task sequence are realized, and the fitness function is constructed to obtain the relative optimal solution. Taking the artillery position group target as an example, the simulation results show that the optimization ability of this method is better than the greedy algorithm. The total time of the generated camouflage task sequence of the proposed method is reduced by an average of 2% compared with the greedy algorithm. The proposed method can assist the commander to carry out camouflage scheme planning and effectively improve the efficiency of operation engineering support.
The Construction of Conceptual Framework of Enterprise Internal Control Evaluation Report
Authors: Kuang Yushu , Li Zongkeng , Pan Changliang
Published: September 2022

In practice, although there is no doubt about the role of enterprise internal control, how to evaluate the effect of enterprise internal control and the auditability of internal control has always been a difficult problem that plagues the theoretical and practical circles. The problems existing in the construction and development of enterprise internal control, such as the information content problem in the enterprise internal control evaluation report, are largely due to the lack of the conceptual framework of enterprise internal control to guide the internal control theory of enterprises. Therefore, the establishment of a set of conceptual framework for the evaluation report of internal control of enterprises and a full understanding of its importance play an important role in solving the practical problems faced in the practice of internal control of enterprises and promoting the construction and development of internal control of enterprises. The construction of the conceptual framework of the internal control evaluation report of an enterprise should adopt the viewpoint of the essential starting point theory, learn from the experience in the construction of relevant conceptual frameworks, start from the concept of the conceptual framework, clarify the main users of the report and their common needs, and combine the functions of the internal control evaluation report. Then, determine the objectives of the internal control evaluation report. This paper proposes that the introduction of information quality characteristics, elements of internal control evaluation reports, and cost-benefit measurement concepts can achieve the preset goals of enterprise internal control evaluation reports.
IoT Applications for Recommended Methods of Physical Education Online Course Resources Based on Collaborative Filtering Technology
Authors: Zheng Zongwei
Published: September 2022

Educational resources are available in different repositories and on the web. For example, these resources are in the form of courses, tutorials, simulations, tests, etc., and are available on the web. And these resources are constantly increasing. In this electronic age, it is necessary to develop systems to help people to find what they want and particularly what is more suitable to their personal subject interest. Recommender systems can help professors, researchers, and students to find the best educational resources suitable for his/her profile. The “e”-course characteristics and user profiles have to be considered, while providing the recommendations. A system can be developed where users can express a subject query to satisfy their information needs. During this stage, user characters and preferences are not considered and all users get the same results for that query. When the characteristics like language and preferences like practical and demonstrations are considered, then the information retrieval process should be improved by personalization. The set of characteristics and preferences of each user has to be stored and to be matched with e-course characteristics. There might be some characteristics that may be expressed using fuzzy values. It would be discussed how to find electronic educational resources that are suitable to the needs and characteristics of a user based on the user’s preferences and educational resources available. So, the present article recommended a method of physical education online course resources based on collaborative filtering technology.
[Retracted] The Scheme of Ecological Environment Governance under International Discourse Power from the Perspective of Ecological Civilization
Authors: Yu Zhike
Published: September 2022

Ecological civilization construction is an important field of global ecological environment governance, and biodiversity is an important foundation of ecological civilization construction. In the process of building international discourse power of ecological civilization, governments, enterprises, and individuals should attach great importance to ecological environmental protection. Especially in the context of the new era, the promotion of international discourse power of ecological civilization and the governance of ecological and environmental problems must be in the process of further consolidating the foundation of ecological economy, paying particular attention to the management of enterprise ecological and environmental costs. Therefore, from the perspective of practical research, fuzzy analytic hierarchy process is used to comprehensively evaluate enterprise environmental cost management. Through research, the importance of enterprise environmental cost management and the help to ecological environment management are proved, and on this basis, ecological environment management countermeasures are put forward.
Application of Virtual Reality Technology in Teaching and Training System of Processing Industrial Robot
Authors: Chen Qinglai
Published: September 2022

In order to solve the problem of difficult teaching and slow teaching in the traditional teaching method of industrial robots, a virtual reality technology is proposed in the teaching and training system of industrial robots. The binocular vision module is fixedly connected to the end tool of the robot to reduce the limitation of teaching range. A hand-held teaching device with a feature plate and a position and pose measuring rod is designed to teach the position and pose of set points quickly. The least square method is used to calibrate the translation parameters of the end of the feature plate. The system collects the image of the feature plate of the hand-held teaching device through binocular vision module and processes the image to obtain the position and pose information of the end points; the pose information is converted to the robot base coordinate system to realize the robot teaching reproduction, and then the teaching reproduction test of 25 points in space is carried out. The experimental results show that the average error of the robot teaching position is 2.427 mm; after using mobile demonstration, the mean position error decreases by 25.3%. Conclusion. The application of virtual reality technology in the teaching and training system of machining industrial robot can improve the accuracy of teaching repetition.
Noisy Low-Illumination Image Enhancement Based on Parallel Duffing Oscillator and IMOGOA
Authors: Liu Jin-Jun , Shi Qi-Hang , Zhao Jian , Lai Zhi-Hui , Li Lei-Lei
Published: September 2022

In complex environment, the captured images face several kinds of problems, including low illumination and intensive noise, which deteriorates image quality and has a great impact on the follow-up work. In this work, inspired by stochastic resonance theory, we design a model that considers the spatial characteristics of image and noise reduction and enhancement are simultaneously realized. The 8-neighborhood pixel extraction method and the Duffing oscillator model are used to parallel process the image, and then the image details are restored by homomorphic filter. In order to optimize the parameters of parallel Duffing oscillator model and homomorphic filter adaptively, multiobjective grasshopper optimization algorithm is introduced into the method. Sobol sequence and differential mutation operators are used to improve the optimization algorithm, and the fitness function is constructed by using peak signal-to-noise ratio and standard deviation. To verify the effectiveness of the proposed method, low-illumination image data with Gaussian noise is used for subjective and objective evaluation. The experimental results show that the proposed algorithm gives prominence to useful information, which has smaller color distortion and better visual quality.
Tamoxifen Prevents Peritendinous Adhesions: A Preliminary Report
Authors: Kayiran Oguz , Tunc Suphan , Ozcan Guler Gamze Eren , Kaya Neslihan , Karabulut Derya
Published: September 2022

Background. Scarless healing comprises the ultimate goal after an injury. Since tendon healing results in a fibrotic scar, an injured tendon can never regain the mechanical potential and strength of its uninjured form. A wide variety of studies focus on the tendon healing with an absent or minimal peritendinous adhesions. However, no simple method has managed it at all. Possible complex actions and peritendinous environmental events take place during the tendon healing process. Tamoxifen (TAM), besides its breast cancer‐related usage, is a potent antifibrotic drug. Here, we aimed to reduce the peritendinous adhesion with TAM administration. Methods. Achilles tendons of 44 Wistar albino rats were randomly distributed in 4 groups. In group 1, bilateral lower extremities were used as control and sham. Groups 2 and 3 were comprised of low‐dose (1 mg/kg) and high‐dose (40 mg/kg) systemic administration of TAM, respectively. Group 4 included local administration (1 mg/kg) of TAM. Biomechanical, macroscopical, and histopathological analyses were done and compared statistically. Biomechanically, the maximum force that led to tendon rupture was determined, and tensile force data were recorded via tensile testing device. Macroscopical and histopathological analysis were composed of the quantity, quality, and grade of peritendinous adhesions. Results. Macroscopic and histopathologic findings revealed that groups 2 and 3 had a variety of values ranging between slight to severe adhesions. In group 2, almost half of the animals had moderate adhesions, whereas in group 3, the majority of the animals had moderate adhesions. There were no animals with moderate or severe adhesions in group 4. Statistically significant values were calculated between sham and control groups. Biomechanically, group 2 showed the most significant result. The tendons in group 2 had the highest stiffness when maximal force was applied to rupture the tendons. Henceforth, all these consequences were proven statistically. Conclusion. We achieved less peritendinous adhesion with the local administration of TAM when compared to systemic administration of TAM. A better understanding of the peritendinous environmental process will reveal to develop new therapies in the prevention of peritendinous adhesions.
[Retracted] Construction of College Students’ Employment Quality Evaluation Model System under the Background of Digitalization
Authors: Li Shiming , Jiang Jun
Published: September 2022

In the era of knowledge economy, human resources are being valued by various countries and regions. The report of the 19th National Congress of the Communist Party of China pointed out that “talent is a strategic resource for realizing national rejuvenation and winning the initiative of international competition. We must adhere to the principle of the party’s management of talents, gather talents from all over the world and use them, and accelerate the construction of a strong country with talents.” College students are an important part of talents, and their employment intentions directly affect employment behavior. With the development of education in our country, the enrollment quota of most colleges and universities in the country has gradually increased, and the number of graduates has also increased. Social and economic development has different needs for different professional and technical personnel, and the employment situation in different regions is uneven. Under the increasingly complex employment environment, college students have to face greater employment pressure and compete with each other in a narrower employment field. Therefore, it is necessary to conduct better employment guidance and employment quality evaluation for college students. Based on the improved algorithm of BP network, an artificial intelligence‐based employment quality evaluation model is constructed. The design model is optimized by introducing a momentum variable factor, adjusting the learning rate and quasi‐Newton method, and training and recommending each optimization model through the training data. The experimental results show that the iterations of the gradient descent algorithm and the additional momentum optimization algorithm are far more than 1000 times. Second, the optimal validation errors of the two algorithms are large and the model performance is poor. The quasi‐Newton ring algorithm also has faster coordination speed, stronger stability, and better overall performance. The adaptive learning rate optimization algorithm is performed in these 4 algorithms. In terms of accuracy, the accuracy of the adaptive learning rate BP optimization algorithm is 76.4%, followed by the Newton algorithm and the additional momentum algorithm, and the gradient descent algorithm is the worst.
Rapid Detection of vanA Resistance Gene from E. faecalis Clinical Isolates Using Duplex Loop‐Mediated Isothermal Amplification and Triplex PCR Assay
Authors: Azizi Mohsen , Motamedi Hamid , Hossainpour Hadi , Abiri Ramin , Kashef Mahsa , Ahmadi Kamal , Moradi Jale , Alvandi Amirhooshang
Published: September 2022

Today, the spread of vancomycin‐resistant strains isolated from Enterococcus faecalis (E. faecalis) has become a major health concern worldwide. Therefore, it is essential to provide a rapid and sensitive assay for identifying vanA gene for timely and appropriate antimicrobial control of resistant enterococcal infections. For this purpose, a cross‐sectional study was performed on different clinical specimens of enterococci from Imam Reza hospital, Kermanshah, Iran. The antimicrobial susceptibility testing was determined by disk diffusion and MIC methods. Triplex‐PCR and duplex‐LAMP assays were also used to identify vanA E. faecalis resistance gene isolates. The results of this study shown that out of 108 Enterococcus isolates, 86, 18, 2, 1, and one isolates of E. faecalis, E. faecium, E. avium, E. psudoavium, and E. raffinosus were identified, respectively. On the other hand, E. faecalis was confirmed in 87 and 88 isolates using duplex‐LAMP and triplex PCR, respectively. The LAMP primer set designed in this study can reliably identify seven distinct regions of the vanA gene, and finally the sensitivity, specificity, and the positive and negative predictive values of LAMP assay were shown to be 94.19%, 72.73%, 76.19%, and 93.10%, respectively. In general, sample processing, isothermal reaction and result reporting were completed using the LAMP assay in 75 minutes. Our findings suggest that LAMP assay has been approved as an alternative to the vancomycin resistance Enterococcus genotype (vanA and vanB) compared to other methods and has the advantage of being rapid, time‐consuming, and easy for diagnosis.
Prognostic Index for Nonsmall Cell Lung Cancer Based on Immune‐Related Genes Expression
Authors: Cao Ying , Zhu Hongyu , Shen Hailin , Liu Desen , Li Zhenkai , Shang Hailong , Du Hongdi , Wang Ying , Ye Juan
Published: September 2022

Immune system dysregulation is associated with tumor incidence and growth. Here, we established an RNA‐based individualized immune signature associated with prognosis for nonsmall cell lung cancer (NSCLC) to guide adjuvant therapy. We downloaded publicly accessible data on RNA expression and clinical characteristics of NSCLC from the Cancer Genome Atlas (TCGA). From immune‐related genes (IRGs) retrieved from the immunology database and analysis portal (ImmPort) database, we then screened differentially expressed immune‐related genes (DEIRGs). Using overall survival (OS) as a clinical endpoint, we identified 26 prognostic DEIRGs via univariate and multivariate Cox regression analysis, and then developed a risk model based on these 26 IRGs with an area under the curve (AUC) of 0.701, and its predictive ability independent from other clinical factors. We also downloaded tumor immune infiltrate data and analyzed the correlations between lymphocytic infiltration with our risk scores, but found no significant association. Furthermore, we retrieved 86 differentially expressed transcription factors (TFs) to assess their regulatory relationships with the 26 prognostic DEIRGs. In summary, we developed a robust risk model to predict survival in patients with NSCLC, based on the expression of 26 IRGs. It provides novel predictive and therapeutic molecular targets.
Research on the Development Strategy of Cross-Border E-Commerce in China’s Cultural and Creative Industries Based on Big Data Services “One Belt One Road”
Authors: Li Lanlan
Published: September 2022

As an emerging industry, cultural and creative industry is an external manifestation of cultural materialization and dissemination. It is an industry that uses technology, economy, creativity, and industrial clusters to combine mainstream culture or certain cultural factors to develop and sell intellectual property. The Belt and Road initiative is China’s move to the world’s frontier after parting ways with modern Western thought. Realizing a community with a shared future for mankind is China’s great goal. The continuous enrichment and sublimation of the “Belt and Road” in connotation and extension conform to the common interests of the international community. This is of great significance for actively exploring new forms of global governance and promoting world peace and development. In the context of the way along the way, combined with the further development of economic globalization, we will create a new creative industry with creativity as the core through new methods such as artificial intelligence, cloud services, and cross-border e-commerce.
Hub Genes and Long Noncoding RNAs That Regulates It Associated with the Prognosis of Esophageal Squamous Cell Carcinoma Based on Bioinformatics Analysis
Authors: Lu Jun , Li Ruichao , Fang Minghao , Ke Shun
Published: September 2022

Objective. Through bioinformatics analysis methods, the public databases GEO and TCGA were used to research mRNA and squamous cell carcinoma of the esophagus, construct a lncRNA-mRNA network, and screen hub genes and lncRNAs related to prognosis. Method. Download esophageal squamous cell carcinoma-related mRNA and lncRNA datasets GEO and TCGA public datasets, as well as clinical data, use bioinformatic tools to perform gene differential expression analysis on the datasets to obtain differentially expressing mRNA (DEmRNA) and lncRNA (DElncRNA), and plot volcano plots and cluster heatmaps. The differential intersection of differentially expressed DEmRNA and DElncRNA was extracted by Venn diagram and imported into CytoScape software, a regulatory network visualization software, to construct a lncRNA-mRNA network and use cytoHubba and MCODE plug-ins to screen hub genes and key lncRNAs. The DEmRNA in the network was imported into the Gene and Protein Interaction Retrieval Database (STRING), gene-encoded protein–protein interactions (PPI) network maps were created, and the genes in the PPI network maps were submitted to GO functional annotation and pathway enrichment analysis using Kyoto Encyclopedia of Gene Genomes (KEGG) (KEGG). The link between hub gene and prognosis was studied using the clinical data collected by TCGA. Result. Retrieve the datasets GSE23400 and GSE38129 from the GEO database and the esophageal squamous cell carcinoma-related mRNAs from TCGA databases and then obtain intersection. Differentially regulated genes revealed a correlation of 326 (up) with 191 (down) in terms of the differential intersection; for this study, we need to collect the GSE130078 dataset from GEO, as well as the lncRNAs from TCGA databases that are connected to esophageal squamous cell cancer. There were 184 differentially up- and downregulated genes in the differential intersection. A differential intersection network of the differential intersection lncRNA-mRNA network allowed us to identify the hub genes, including COL5A2 (COL3A1), COL1A1 (COL1A1), CTD-2171N6.1 (CTD-2171N6.1), and RP11-863P13.3 (RP11-863P13.3). The extracellular matrix, which is important in protein digestion and absorption, was shown to be the primary site of functional enrichment, as shown by GO/KEGG analysis. Squamous cell carcinoma of the mouth and throat is associated with a poor prognosis because of a change in the extracellular matrix structure caused by specific long noncoding RNA (lncRNA) regulatory upregulation. Conclusion. For the purpose of predicting the prognosis of cancer of the esophagus, researchers studied the esophageal squamous cell carcinoma-related hub genes and important noncoding RNAs (ncRNAs).
Characterization of Various Honey Samples from Different Regions of Morocco Using Physicochemical Parameters, Minerals Content, Antioxidant Properties, and Honey-Specific Protein Pattern
Authors: Lyoussi Badiaa , Bakour Meryem , El-Haskoury Redouan , Imtara Hamada , Hano Christophe , Bíliková Katarína
Published: September 2022

Honey is a bee product relatively expensive; therefore, it has been a target of adulteration by many sweeteners. In this work, we evaluated the good quality, authenticity, and content in bioactive molecules of twenty-two Moroccan honey from different botanical origins and geographical areas. For that, the following analyses were determined: the content in total protein and especially the major royal jelly protein (apalbumin 1), the analysis of total acidity, free acidity, lactonic acidity, pH, ash, Pfund, electrical conductivity, and moisture. In addition, the content of sodium, potassium, calcium, and magnesium, the dosage of polyphenols, flavones, and flavonols, and the antioxidant activities were assessed. All analyzed samples had good antioxidant activities and present a source of antioxidant compounds, the predominant mineral in all honey samples was potassium, and the physicochemical parameters are in line with the standards’ recommended limits. The content of honey samples in total protein and apalbumin 1 ranged between 212 μg/g and 4121.2 μg/g and between 27.4 μg/g and 790.82 μg/g, respectively. Overall, the detection of apalbumin 1 in all honey samples and the results of physicochemical parameters, minerals, bioactive compounds, and antioxidant activities confirm the authenticity and no adulteration of Moroccan honey.
Application Effect Analysis of the Mie Scattering Theory Based on Big Data Analysis Technology in the Optical Scattering Direction
Authors: Chen Suting
Published: September 2022

In order to study the characteristics of wake, an application method of the Mie scattering theory based on big data analysis technology in the optical scattering direction is proposed in this paper. Firstly, based on the scattering theory, the optical scattering model of a single bubble is simulated on the computer. It is concluded that the light scattering properties of a single bubble are closely related to the bubble diameter and relative refractive index. Based on the single bubble scattering model, the properties of bubble group scattering are further discussed. Under the condition of irrelevant scattering, the scattering of the bubble group satisfies the linear superposition of single bubble scattering. Under the assumed mathematical model of bubble group scattering, the scattered light intensity of wake can be measured experimentally, and then, the velocity, diameter, and density distribution of the bubble group can be calculated by using the mathematical inversion algorithm. The experimental results show that the diameter of the main bubbles in the bubble group is about 240, accounting for about 50% of the whole bubble group in number, the bubbles with a diameter of about 140 account for 24% of the whole bubble group, and the bubbles with a diameter of about 350 account for 24% of the whole bubble group. Conclusion. It is feasible to detect the wake by the backscattered light of the wake.
Analysis of Land Use/Land Cover Change and Its Implication On Natural Resources of the Dedo Watershed, Southwest Ethiopia
Authors: Anteneh Mesfin
Published: September 2022

This study analyzed the land use/land cover (LULC) change and their causes and implications on the natural resources of the Dedo Watershed, Ethiopia. The study used 1984, 2000, and 2017 satellite images to detect the trends of land use/land cover change. Moreover, key informant interviews and focus group discussions were used to identify the driving forces linked to the changes and their impact on the natural resources of the watershed. The study identified five LULC types as follows: cultivation, settlement, dense forest, light vegetation, and grassland. Over the last 33 years, cultivation and settlement land expanded by 15.7% and 0.34%, whereas dense forest, light vegetation, and grazing land declined by 9.2%, 4.97%, and 1.85%, respectively. The establishment of the resettlement program and population pressure and associated demands were the major driving forces behind the land use/cover change. Whereas increased soil erosion, biodiversity loss, and decline in water resources are identified as the major impacts of land use land cover changes in the study watershed for the last 33 years. The study concludes that if these trends of cultivation and settlement land expansion allowed continuing, there will be no dense forest vegetation will remain. So, the finding of this study is significant.
Efficient Lattice-Based Ring Signature Scheme without Trapdoors for Machine Learning
Authors: Ye Qing , Lang Yongkang , Zhao Zongqu , Chen Qingqing , Tang Yongli
Published: September 2022

Machine learning (ML) and privacy protection are inseparable. On the one hand, ML can be the target of privacy protection; on the other hand, it can also be used as an attack tool for privacy protection. Ring signature (RS) is an effective way for privacy protection in cryptography. In particular, lattice-based RS can still protect the privacy of users even in the presence of quantum computers. However, most current lattice-based RS schemes are based on a strong trapdoor like hash-and-sign, and in such constructions, there is a hidden algebraic structure, that is, added to lattice so that the trapdoor shape is not leaked, which greatly affects the computational efficiency of RS. In this study, utilizing Lyubashevsky collision-resistant hash function over lattice, we construct an RS scheme without trapdoors based on ideal lattice via Fiat‒Shamir with aborts (FSwA) protocol. Regarding security, the proposed scheme satisfies unconditional anonymity against chosen setting attacks (UA-CSA), which is stronger than anonymity against full key exposure (anonymity-FKE), and moreover, our scheme satisfies unforgeability with respect to insider corruption (EU-IC). Regarding computational overhead, compared with other RS schemes that satisfy the same degree of security, our scheme has the highest computational efficiency, the signing and verification time costs of the proposed scheme are obviously better than those of other lattice-based RS schemes without trapdoors, which is more suitable for ML scenarios.
GPS Receiver Position Estimation and DOP Analysis Using a New Form of the Observation Matrix Approximations
Authors: N Ashok Kumar , Kumar P. Sirish , Mohiddin Md. Khaja , Gemeda Mulugeta Tegegn , Mishra Anup
Published: September 2022

A location sensor is a feature that communicates with a Global Positioning System (GPS) receiver to learn about the status of the current location. This work presents the GPS receiver position estimation and Dilution of Precision (DOP) analysis using a new approximate form of observation matrix which can be used in place of the classic observation matrix that was derived from the Taylor’s series. It has been realized that, the approximate observation matrix is numerically stable and provides greater precision in calculating DOP values and estimating the position of a GPS receiver. The experimental results show that the proposed observation matrix provides better precision in DOP analysis and GPS receiver position estimation with a fast convergence rate and improved algorithm stability. Therefore, it can be concluded that the proposed new observation matrix plays a significant role to estimate accurately the location of the GPS receiver position and to enhance all parameters of the DOP.
[Retracted] Solitaire™ Stent Thrombectomy System in the Treatment of Acute Lower‐Limb Ischemia: Comparisons in Safety and Effectiveness with Conventional Catheter‐Directed Thrombolysis Therapy
Authors: Huang Hao , Gu Jianping , Su Haobo , Chen Liang , He Xu , Kong Jie , Shi Yadong , Lu Zhaoxuan , Yuan Yuan
Published: September 2022

Objective. The study aimed to investigate the safety and efficacy of the Solitaire™ AB Stent System (ev3 Inc., Plymouth, MN, USA) for the treatment of acute lower extremity ischemia (ALLI) compared with conventional catheter‐directed thrombolytic therapy. Methods. Retrospective analysis of patients with ALLI treated in the Department of Interventional Radiology at the First Hospital of Nanjing from January 2017 to April 2020 divided into a conventional (CDT) group (n = 106) and a percutaneous mechanical thrombectomy (PMT) group (n = 55) according to the procedure. PMT was performed using the Solitaire™ AB stent system. The combined clinical outcomes of mortality, major amputation, recurrent ischemia, and major morbidity were compared between the two groups. Results. Of the 161 patients, 128 (79.5%) did not have a composite clinical outcome after 12 months of follow‐up, namely, 78 CDT patients and 50 PMT patients, with significant differences in composite clinical outcome (26.4% vs. 9.1%, P = 0.010) and mortality (19.8% vs. 7.3%, P = 0.037) between them. Thrombolytic drug dose (19.34 ± 5.93 vs. 13.55 ± 6.54 mg, P < 0.001) and length of hospital stay (8.29 ± 3.91 vs. 5.49 ± 1.18 days, P = 0.003) were significantly lower in the PMT group. Conclusion. PMT with the Solitaire™ AB Stent System is safer and more effective in treating patients with Rutherford stage I‐IIB ALLI, with the advantage of rapid opening of obstructed vessels, shorter thrombolysis time, reduced thrombolytic dose, and improved blood flow to the infrapopliteal vessels.
[Retracted] Green Supply Chain Management and Its Impact on Economic‐Environmental Performance: Evidence from Asian Countries
Authors: Huang Huihua
Published: September 2022

At present, with the increasing seriousness of ecological pollution, people are gradually paying more attention to the protection of the ecological environment. In the past, people only paid attention to economic growth and neglected environmental protection. Now, environmental problems have restricted economic development, leading scholars at home and abroad to reflect on it deeply. Supply chain management, as the key to the sustainable development of the current enterprise economy, can realize the key consideration of environmental factors in the complete supply chain, reduce the negative impact of economic production activities on environmental protection, and can also make better use of resources to achieve effective assessment of the impact of economic‐environmental performance in the supply chain process to ensure its healthy and orderly development. This article makes an in‐depth analysis of the use of a green supply chain in the impact of economic‐environmental performance by using the method of a fuzzy comprehensive evaluation and provides a relatively complete calculation method. An example is given to analyze the IKEA company. The results of the example analysis show that green supply chain management not only promotes economic growth in economic‐environmental performance but also plays a continuous role in the improvement of the environment. The proportion of resource consumption in regions with a high level of economic development is also high. Driven by factors of green supply chain management, green economy can effectively alleviate environmental pollution and further promote economic and green sustainable development.