bluuebunny/crossref_metadata_2025 huggingface dataset:
Considering Multisensor Data Fusion and Data-Driven Special Effects Animation Simulation
Authors: Peng Song
Published: July 2022

The data-driven simulation algorithm uses the method of surface matching to establish the corresponding relationship between the surfaces of the two dynamic models at the same time. It also calculates the appropriate deformation field to align the animated character surface and then uses the interpolation operation to further expand the new animated character motion. With the promotion of industrial application requirements such as games, film and television, and education and entertainment, computer animation special effects simulation technology has a wide range of application prospects. Based on a multisensor and data-driven approach, this paper conducts a targeted study on the realistic simulation of typical special effects animations. Aiming at the high time complexity and time-consuming problems of simulation algorithms, data-driven simulation methods are studied and scenes or objects that simulate the real environment can be created. They are given different properties and parameters, and the desired results are obtained through computer calculation and rendering. Finally, it can be output into a smooth animation. Based on the animation simulation data and multisensor data fusion method proposed in this paper, the on-site calculation process can be accelerated and efficient animation simulation driven by data can be realized. In 3ds Max 2013, there is also a small function that can sort the bone list in ascending or descending order in alphabetical and numerical order. This helps manage bones attached to the skin modifier more efficiently. This saves a lot of time when picking bones. About 44.3% of the people during the study were proficient in the use of software. After 1200 frames, the number of foam particles increases sharply, and the two-way coupling algorithm takes time. As the number of foam particles decreases, the time required for bidirectional coupling decreases. The article gives a brief description of the data-driven fusion model. The fluid simulation algorithm generates two different sequences by utilizing two different sets of setup parameters. It is then transformed into a spatiotemporal surface as input data for the fusion model. This research contributes to the development of special effects animation simulations.
Lung Cancer Stage Prediction Using Multi-Omics Data
Authors: Li Wei , Liu Binchun , Wang Weiqian , Sun Can , Che Jianpeng , Yuan Xuelian , Zhai Chunbo
Published: July 2022

Lung cancer is one of the leading causes of cancer death. Patients with early-stage lung cancer can be treated by surgery, while patients in the middle and late stages need chemotherapy or radiotherapy. Therefore, accurate staging of lung cancer is crucial for doctors to formulate accurate treatment plans for patients. In this paper, the random forest algorithm is used as the lung cancer stage prediction model, and the accuracy of lung cancer stage prediction is discussed in the microbiome, transcriptome, microbe, and transcriptome fusion groups, and the accuracy of the model is measured by indicators such as ACC, recall, and precision. The results showed that the prediction accuracy of microbial combinatorial transcriptome fusion analysis was the highest, reaching 0.809. The study reveals the role of multimodal data and fusion algorithm in accurately diagnosing lung cancer stage, which could aid doctors in clinics.
Secure Information Collection and Energy Efficiency in Heterogeneous Sensor Networks Using Machine Learning with the Internet of Things
Authors: Misra Yogesh , Srivastava Ashish Kumar , Ahmad Aamir Junaid , Yadav Ajay Singh , Voore Subrahmanyam , Alshammri Ghalib H. , Atiglah Henry Kwame
Published: July 2022

Regarding the preservation of human life, this is one of the secondary research goals that the WSN strives to achieve. There have been the development and testing of a number of cutting-edge algorithms and protocols, and many more are now in the process of being created. Among the aforementioned methods, clustering is one that is particularly well known for its capacity to lengthen the lifespan of the web. It is also one of the solutions with the lowest possible price. Two strategies have been proposed as a means to extend the life of the WSN, improve its functionality, and maximize its usefulness. The Energy-Aware Ant Colony Optimization (EAACOP) protocol, which is derived from the Time Domain Protocol, was at first devised with the goal of reducing overall power consumption. The mission of EAACOP is to build an energy-efficient group with the highest possible number of nodes, choose the most qualified individual to serve as the group’s head, restrict the amount of space available for intragroup communication, and extend the lifetime of the web as much as feasible. By using the pillar

K

-means grouping strategy, we are able to generate groups and guarantee that every node is covered to the greatest extent that is practically possible. During TDMA-based MAC protocol data transmission, it is used to determine who would make ideal group leaders and to evaluate the amount of energy that is consumed. The viability of the protocol is shown by simulating it and comparing it with contemporary protocols; the conclusions reached are predicated on QoS performance criteria. Specifically, as compared to older methods, the packet distribution ratio, throughput, and residual energy are raised, while the packet loss ratio, network latency, edge-to-edge delay, and battery power consumption are lowered. This results in an overall improvement.
Construction of Data Resource Sharing Platform in College Students’ Ideological and Political Education Based on Deep Learning
Authors: Qiu Zehang , Xiao Peng , Nguyen Oanh
Published: July 2022

At present, the irrational allocation of IPE (ideological and political education) resources in universities reflects the dilemma of university’s control of university students’ IPE system. In order to make educational big data really useful to us and really promote the sharing of educational resources and improve the utilization rate of resources, this paper discusses the construction of data resource sharing platform for college students in IPE field based on DL (Deep learning) based on the characteristics and existing problems of educational big data. Based on DL, the collected data are parameterized, the matching algorithm parameters are determined, the dynamic data sample subset is incrementally reduced, the discernibility matrix and logical analytic formula are established, the conjunctive normal form is obtained through calculation, and the kernel attribute is introduced into each conjunctions to realize incremental mining of dynamic data. The results show that the model in this paper achieves the best classification effect on six samples, with an average classification accuracy of 88.81%. The results show that the comprehensive shared data matching algorithm based on DL can realize the matching in a short time, and the matching process has high stability.
Design and Analysis of a Smart Sensor-Based Early Warning Intervention Network for School Sports Bullying among Left-Behind Children
Authors: Ren Panhong , Nie Mengjian
Published: July 2022

This paper constructs a sports bullying early warning intervention system using smart sensors to conduct in-depth research and analysis on early warning intervention of school sports bullying behaviors among left-behind children. Unlike daily behavior recognition based on motion sensors, school sports bullying actions are very random and difficult to be described by a specific motion trajectory. For the characteristics of violent actions and daily actions, action features in the time and frequency domains are extracted and action categories are recognized by BP neural networks; for complex actions, it is proposed to decompose complex actions into basic actions to improve the recognition rate. The algorithm of combining action features and speech features to achieve violence recognition is proposed. For the complexity of audio data features, this paper firstly preprocesses the audio data with preweighting, framing, and windowing and secondly extracts the MFCC feature parameters from the audio data and then builds a deep convolutional neural network to design the violence emotion recognition algorithm. The simulation results show that the algorithm effectively improves the accuracy rate of violent action recognition to 91.25% and the recall rate of violent action recognition to 92.13%. Finally, the LDA dimensionality reduction algorithm is introduced to address the problem of the high complexity of the algorithm due to the high number of feature dimensions. The LDA dimensionality reduction algorithm reduces the number of feature dimensions to 7 dimensions, which reduces the system running time by about 52% and improves the recognition rate of specific complex actions by about 12.1% while ensuring the overall system performance.
English Online Hybrid Teaching Based on Internet-of-Things Information Technology
Authors: Qiu Lu , Feng Wei
Published: July 2022

In recent years, due to the epidemic, the country is vigorously developing online teaching, which further promotes the development of hybrid English teaching. Online and offline hybrid teaching combines face-to-face classroom and online teaching. Offline traditional classroom and online auxiliary teaching can complement each other. However, in actual teaching, mixed teaching still suffers some defects, which can undermine the learning outcomes. In this paper, the Internet of Things information technology is used to study hybrid teaching. Firstly, relevant core concepts are clarified. After that, this paper designs an English online hybrid teaching model based on Internet of Things information technology and verifies the feasibility and effectiveness of this model through experiments. The results show that, compared with the simple mixed teaching, the average score of students’ final evaluation under this mode increased by 5.11 points. And the proportion of students with classroom interaction and autonomous learning also rose by 12.1%. This shows that under the promotion of Internet of Things information technology, the online hybrid teaching mode has great guiding significance for middle school English teaching.
Establishing Reliable Slope Stability Hazard Map Based on GIS‐Based Tool in Conjunction with Finite Element Methods
Authors: Sengani Fhatuwani , Muavhi Nndanduleni , Mulenga François
Published: July 2022

This paper describes the establishment of a slope stability hazard map based on a GIS‐based tool in conjunction with the finite element method (FEM). In this regard, Advanced Space‐borne Thermal Emission and Reflection Radiometer (ASTER) images were modeled using the Weight of Evidence (WOE) technique. The previous simulation was therefore validated using visual observations and FEM (Phase 2D and SLIDE). The above techniques made it possible to develop and validate the reliable slope stability hazard map with the use of a case study. The results show that the established hazard map correlates very well with visual observation and stability assessment performed using FEM models. The map categorises slopes based on their susceptibility to failure; however, it has been discovered that most of the slopes that rated highly susceptible were located along or closer to geological features (faults) or streams and were at high elevations. Similarly, the SLIDE model has been utilised to perform the safety factor of the identified slope and the model has shown that those slopes were not stable. Furthermore, the influence of geological features was further studied using the Phase 2D model and it was discovered that the features contributed largely to the displacement of the rock mass with time, and as a result, instability was expected. The overall conclusion of the study is that the combination of geotechnical and GIS‐based tools appeared to provide an insight in categorising the hazard of slopes located within mountainous terrain.
Evaluation of Water Productivity under Furrow Irrigation for Onion (Allium cepa L.) Crop
Authors: Asres Ligalem Agegn , Singh Pratap , Derebe Melkamu Ateka , Yersaw Babur Tesfaye
Published: July 2022

Irrigation water management practices are the main strategies to improve water productivity. This research work was focused to study the performance of alternate and paired row furrow irrigation systems at three levels of irrigation (100%, 75%, and 50% of crop evapotranspiration) using different water productivity indicators for onion crops. The experiment had six treatments and replicated three times to evaluate the analysis of variance in SAS software. Water productivity indicators like crop water use efficiency, field water use efficiency, and field water expense efficiency were determined through bulb yield and water which were used by the crop. The crop yield was expressed as the total yield of onion bulbs, and crop water use was expressed as crop evapotranspiration (ETc), gross depth of irrigation, and water expense. The estimated maximum values of crop water use efficiency, field water use efficiency, and field water expense efficiency were 11.941, 16.152, and 9.361 kg m−3, respectively, for paired row furrow irrigation with 50% ETc. The performance of the paired row furrow irrigation system in crop yield and water use was better as compared to the alternate furrow irrigation system at all levels of irrigation.
Assessment of Antimicrobial Potential of Plagiochasma rupestre Coupled with Healing Clay Bentonite and AGNPS
Authors: Khan Muhammad Musa , Bhatti Qaisar Abbas , Akhlaq Muhammad , Ishaq Muhammad , Ali Daoud , Jalil Aamir , Asghar Junaid , Alarifi Saud , Elaissari Abdelhamid
Published: July 2022

The impact of individual component, i.e., plant extract (Plagiochasma rupestre), biosynthesized silver nanoparticles (AgNPs), and healing clay (bentonite) as antimicrobial agent is reported but their combined effect as a ternary system is a new approach. This study is aimed at investigating the impact of the proposed ternary system against selected human pathogens. AgNPs were synthesized by using Plagiochasma rupestre extract (aqueous) as reducing agent and neutral polymer (PVP) as stabilizer. The morphology, size, and structural properties of synthesized AgNPs were determined with XRD and SEM analysis which showed spherical monomodal particles with an average particle size of 25.5 nm. The antibacterial and antifungal activities of the individual and nanoternary system were investigated. The phytochemical screening of plant extract showed the presence of alkaloids, flavonoids, phenol, and glycosides in methanol extract as compare to aqueous and acetone extract. The antimicrobial activities of crude extracts of Plagiochasma rupestre with AgNPs and bentonite clay were studied as an appropriate candidate for treatment of microbial infections, especially bacterial and fungal diseases. The antioxidant activity of Plagiochasma rupestre aqueous extract and nanoparticles was assessed by (DPPH) free radical, and absorbance was checked at 517 nm. Crude extract has inhibitory effect towards bacteria and fungi, and bentonite clay also showed some degree of antimicrobial resistance. Strategy can be efficiently applied for future engineering and medical. The nanoternary systems showed 3 and 3.5 times higher antibacterial and antifungal activity, respectively, in comparison to Plagiochasma rupestre and bentonite clay, individually.
Internal Model Control (IMC)-Based Active and Reactive Power Control of Brushless Double-Fed Induction Generator with Notch Filter
Authors: Memon Ahsanullah , Bin Mustafa Mohd Wazir , Laghari Zohaib Hussain , Jumani Touqeer Ahmed , Anjum Waqas , Ullah Shafi , Aman Muhammad Naveed
Published: July 2022

The increase in demand for electricity and, in particular, green energy has put renewable energy systems at the focal point of energy policy worldwide. The higher reliability of brushless doubly fed induction generators (BDFIGs) makes them suitable for offshore and remote wind energy generation (WEG) applications. Besides, controlling the active and reactive powers in an electrical power system is critical for optimal voltage regulation, reduced power losses, and enhanced utilization of installed equipment. However, the existing literature on BDFIG’s active and reactive power control highlights the poor dynamic response and high transients with harmonic generation during inductive load insertion. It is because the Ziegler technique was employed to select PI gains, and the instantaneous reactive power theory was used to mitigate harmonics. Considering that, this paper proposes a vector control (VC) method for BDFIGs in wind turbines, in which the proportional-integral (PI) gains for internal model control (IMC) are optimized to improve the dynamic response of the active and reactive power during inductive load insertion. The proposed method reduces the complexity, time consumption, and uncertainty in making the optimal choice. In addition, to reduce a double fundamental frequency component to the point-of-common-coupling (PCC) voltage, the excellent characteristics of the notch filter are utilized in the grid-side converter (GSC)-based vector control scheme. The simulation results in MATLAB/Simulink show that the proposed IMC-based vector control scheme with a notch filter provides satisfactory results with a minimum peak value compared to existing techniques.
Biomarkers of Inflammation among Patients with COVID-19: A Single-Centre Prospective Study from Prishtina, Kosovo
Authors: Latifi-Pupovci Hatixhe , Namani Sadie , Ahmetaj-Shala Blerina , Pajaziti Artina , Bunjaku Gramoz , Ajazaj Berisha Lindita , Gegaj Valentin , Kotori Afrim
Published: July 2022

SARS-CoV-2 infection involves the phase of viral replication and inflammatory response predicting the severity of COVID-19. The aim of the study was to analyze the association between IL-6 and hematological and inflammatory parameters and outcomes of patients with COVID-19. Plasma interleukin 6 (IL-6) levels and other inflammatory and hematological parameters were analyzed in 86 adult patients diagnosed with SARS-CoV-2 infection in Kosovo. The median age of patients was 61.50 (49.75–67.25) years. Over half of patients were categorised as severe (58%) and had comorbidities (69%) with hypertension being the most common. The overall mortality rate was 4.7%. The distribution of biochemical parameters across disease severity groups was significantly different for C-reactive protein (CRP), lactate dehydrogenase (LDH), erythrocyte sedimentation rate (ESR), white blood cells (WBC), and granulocytes with higher median values in more severe and critically ill patients whereas lower percentage of lymphocytes, monocytes, and platelet count in severe and critically ill patients. IL-6 levels were increased in 63% of patients with significant differences in the distribution across the following groups; age, disease severity, hospitalisation status, pulmonary infiltrates, oxygen therapy, and hypertension status. IL-6 significantly correlated with CRP, LDH, CK, ESR, and percentages of granulocytes. IL-6 and other inflammatory and hematological parameters were strongly associated with disease severity and may predict the outcome of the SARS-CoV-2 infection.
Analysis of the Prognostic Impact of Staged Nursing Interventions on the Treatment of Patients with COPD Combined with Type II Respiratory Failure
Authors: Zheng Yun , Wu Haihua
Published: July 2022

Objective. To analyze the prognostic impact of staged nursing interventions on the treatment of patients with chronic obstructive pulmonary diseases (COPD) combined with type II respiratory failure. Methods. 120 patients with COPD combined with type II respiratory failure admitted to our hospital between January 2021 and January 2022 were divided into a control group and a study group, with 60 patients in each group. The control group received conventional strategy interventions, and the study group received staged nursing interventions. Pulmonary function, blood gases, health impairment, knowledge, mood, hope level, and quality of survival were evaluated before and after patient care, and satisfaction and the impact on patient prognosis were assessed. Results. The improvement of pulmonary function and blood gas in the study group was better than that in the control group aftercare, and the difference was statistically significant (

P
<
0.05

). Health impairment and mood scores were lower in the study group compared to the control group aftercare, and the difference was statistically significant (

P
<
0.05

). Knowledge awareness, hope, and quality of survival scores were higher in the study group compared to the control group aftercare, with statistically significant differences (

P
<
0.05

). The rate of excellent prognosis and satisfaction was higher in the study group compared with the control group, and the difference was statistically significant (

P
<
0.05

). Conclusion. The implementation of staged nursing interventions during the treatment of patients with COPD combined with type II respiratory failure can significantly improve patient prognosis and has a high application value.
An Improved Oil Painting Formation Using Advanced Image Processing
Authors: Liu Xiaodong
Published: July 2022

The fast advancement of computer science and information technology has resulted in a significant revolution in the commercial painting sector. The professional painting industry has experienced a dramatic breakthrough with the rapid expansion of computer science and technology. With the rapid development and comprehensive popularization of computer technology, more and more people use computer image processing technology in oil painting created as a new way of creation. Some artists use a variety of ways to study the way of oil painting creation and use image processing technology to stimulate the creator’s imagination and improve the efficiency of drawing sketches in optimizing creative ideas, drawing, and processing original works. However, the value of art comes from creation. Oil painting creation based on computer image processing is a new type of artistic production that still requires the integration of different artists’ ideas and creative concepts. The image processing technology is a tool and a way for artists to make art while also realizing the convergence of science, technology, and art. This paper uses computer image processing technology to study oil painting creation. First, it briefly discusses computer image processing technology, focusing on picture preprocessing and image graying, and then uses this technique in formation of oil painting. Second, it establishes the oil painting mathematical, direction field, and color conversion models completing the oil painting image creation by using this model. Finally, the advantages of this technology are analyzed from the two aspects of oil painting creation, painting technique, and brush direction. The results show that 75% of artists are very satisfied with the digital painting technique, and 65% of artists are very satisfied with the painting brush direction, which shows that the application effect of computer image processing technology in oil painting creation is remarkable.
Automatic Classification System of Drainage Hole Blockage Based on Convolution Neural Network Transfer Learning
Authors: Lv Jianbing , Wu Weijun , Kang Xiaoyu , Huang Juan , Chen Gongfa , Teng Shuai , Gao Hejie
Published: July 2022

The blockage or failure of the drainage holes will endanger the stability of the slopes and traffic safety of a highway tunnel. This paper studies an algorithm for the automatic classification of drainage hole blockage degree based on convolutional neural network transfer learning to explore the intelligent detection method of drainage hole blockage. The model transfer method is adopted to input drainage hole image samples to retrain the pretrained network to classify new images. Experiments are performed on the collected samples of drainage hole images, and the accuracy of different network models is compared, ResNet‐18 being the best. The ResNet‐18 performance is compared using different transfer strategies and parameters. The results show that when the SGDM gradient optimisation algorithm is used and the learning rate is 0.0001, the identification effect of these samples is the best. The validation accuracy can reach 91.7%, test accuracy is 90.0%, and the effective classification of drainage hole blockage to different degrees is realised under the transfer learning strategy of ResNet‐18 model 1–34 frozen layers. Furthermore, with an expansion of the samples in the future, the identification accuracy will be further improved. The automatic classification system of the blockage degree of drainage hole greatly reduces the cost of manual detection, plays a guiding role in the maintenance of drainage pipes, and effectively improves the safety of highway tunnels and slopes.
A Multi-Modal Convolutional Neural Network Model for Intelligent Analysis of the Influence of Music Genres on Children’s Emotions
Authors: Qian Qingfang , Chen Xiaofeng
Published: July 2022

The influence of music genres on children’s emotional intelligence is one of the hot topics in the field of multi-modal emotion research. How to fuse multi-modal information has an important impact on children’s emotional analysis. Most of the current research is based on transformer, in which the self-attention mechanism module is improved to achieve the fusion effect of multi-modal information. However, it is difficult for these methods to effectively capture the effective information of different modalities. Therefore, for the task of the influence of music genres on children’s emotions, this paper proposes a transformer-based multi-modal convolutional neural network. The first is to use the BiLSTM sub-network model to extract the video and audio features and use the BERT sub-network to extract the text features. Secondly, this paper uses the improved transformer cross-modal fusion module to effectively fuse different types of modal information. Finally, the transformer module is used to judge the information of different modalities and analyze the emotion from the multi-modal information. At the same time, a large number of experiments prove that the model based on multi-modal convolutional neural network proposed in this paper surpasses other methods in prediction accuracy and effectively improves the accuracy of sentiment classification tasks.
Do Chest Compresses with Mustard or Ginger Affect Warmth Regulation in Healthy Adults? A Randomized Controlled Trial
Authors: Vagedes Jan , Kuderer Silja , Vagedes Katrin , Szőke Henrik , Kohl Matthias , Joos Stefanie , Beissner Florian , Wolf Ursula
Published: July 2022

Background. Chest compresses with mustard (MU) or ginger (GI) are a complementary treatment option for respiratory tract infections. However, little is known about their specific thermogenic qualities. This study examines the short-term effects of MU, GI, and chest compresses with warm water only (WA) on measurable and self-perceived body warmth in healthy adults. Methods. This was a single-center, randomized controlled trial with cross-over design (WA versus MU versus GI). 18 participants (23.7 ± 3.4 years; 66.7% female) received MU, GI, and WA in a random order on three different days with a mean washout period of 13.9 days. Chest compresses were applied to the thoracic back for a maximum of 20 minutes. The primary outcome measure was skin temperature of the posterior trunk (measured by infrared thermography) immediately following removal of the compresses (t1). Secondary outcome measures included skin temperature of the posterior trunk 10 minutes later (t2) and several parameters of self-perceived warmth at t1 and t2 (assessed with the Herdecke Warmth Perception Questionnaire). Results. Skin temperature of the posterior trunk was significantly higher with MU compared to WA and GI at t1 (

p

 < 0.001 for both, primary outcome measure) and t2 (WA versus MU:

p
=
0.04

, MU versus GI:

p
<
0.01

). Self-perceived warmth of the posterior trunk was higher with MU and GI compared to WA at t1 (1.40 ≥ d ≥ 1.79) and remained higher with GI at t2 (WA versus GI: d = 0.74). The overall warmth perception increased significantly with GI (d = 0.69), tended to increase with MU (d = 0.54), and did not change with WA (d = 0.36) between t0 and t1. Conclusions. Different effects on warmth regulation were observed when ginger and mustard were applied as chest compresses. Both substances induced self-perceived warming of the posterior trunk, but measurable skin temperature increased only with MU. Further research is needed to examine the duration of these thermogenic effects and how chest compresses with ginger or mustard might be incorporated into practice to influence clinical outcomes in respiratory tract infections.
Carbonation Characteristics and Bearing Capacity Attenuation of Loaded RC Beam Coupled with Chloride Erosion
Authors: Zhou Xiangong , Zhang Xiaoyu , Li Gang , Li Jialu
Published: July 2022

The durability of a concrete bridge structure is a systematic problem composed of material, structure, natural environment, and service environment. Various factors are coupled, which affect each other, and single‐factor research cannot fundamentally solve this problem. In this paper, the carbonation characteristics of RC beams with different loading states under the coupling action of carbonation and chloride erosion are studied. Through the experiment, the author tries to find the influence of stress state and chloride ion erosion on the carbonation of concrete and analyze the failure mode and the attenuation rules of the flexural and shearing capacity of the corroded RC beams under the coupling action. For this purpose, five groups of experiments under different working conditions were designed, including chloride ion erosion and carbonation experiments without external load of the cubic blocks, and chloride erosion and carbonation coupling experiments of RC beams under different stress states and stress levels. The carbonation rate of concrete can be reduced by 56%∼60% under the coupling action of chloride salt. Different loading states and stress levels have an obvious influence on carbonation and chloride ion corrosion, which further affects the corrosion rate of steel bars. Under a low corrosion rate, the bending and shear failure modes of the corroded beams are similar to those of the noncorroded beams, and the section strain distribution still approximately conforms to the plane section assumption. The relationship between the relative ultimate shear strength or the relative ultimate flexural strength and the average section‐corrosion rate of the reinforcement is approximately linear.
Mange in Rabbits: An Ectoparasitic Disease with a Zoonotic Potential
Authors: Abd El-Ghany Wafaa A.
Published: July 2022

Mange in rabbits is a very important parasitic disease causing high losses. The disease is caused mainly by Sarcoptes scabiei, Psoroptes cuniculi, Cheyletiella parasitovorax, and Notoedres cati. Body mange and ear mange are the most common forms of this disease in rabbits. Animals can get mite infestation through direct contact with infected animals or contaminated fomites. This infestation is characterized by zoonotic nature and public health burden. The skin affection is characterized by pruritus, alopecia, severe cachexia, and sometimes death. Infestation is diagnosed mainly by skin scraping and microscopic examination. Control measures mainly depend on the use of different types of systemic and topical acaricides and the use of natural products and supportive elements. Vaccine is not commercially available and is still under investigation. Accordingly, this review article was designed to shed the light on the mange disease in rabbits in terms of mite’s infestation and susceptibility, clinical manifestations, zoonosis, diagnosis, and control strategies.
Spatial Analysis on the Vulnerability of Tourism Economic System Based on BP Neural Network: The Guangdong-Hong Kong-Macao Greater Bay Area (GBA)
Authors: Deng Yiming
Published: July 2022

Objective. To carry out the research on the vulnerability evaluation and influencing factors of the tourism economic system is the objective requirement of formulating the scientific development strategy of the tourism economy and improving the quality of regional tourism development. Methods. Based on the vulnerability analysis of tourism economic system based on BP neural network (BPNN), this paper takes the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) as the research object and selects 14 index data. The mean and standard deviation of the calculated weight values are used to formulate evaluation criteria for the tourism system. Results. The BP neural network (BPNN) model was used to predict the distribution law of vulnerability data within the standard range of the Greater Bay Area after 2020, obtained the spatial distribution law of vulnerability in the geographic structure distribution of the Greater Bay Area, and determined the vulnerability analysis framework and evaluation method. Conclusion. The cities in the Greater Bay Area should first pay attention to the industrial structure; increase financial investment; enhance the attractiveness of tourist destinations, in-depth development of tourism resources, and rational design of tourism products; help reduce the vulnerability of the tourism economic system; and improve regional self-recovery capabilities.
[Retracted] Finite versus Indefinite Nucleos(t)ide Analogue Therapy of Patients with Chronic Hepatitis B Exhibiting Negative HBsAg Levels after Treatment
Authors: Sun Haixia , Liu Yinhui , Zhang Yufeng , Jie Yusheng , Wu Yuankai , Li Zhanyi , Wei Xuxia , Li Xiangyong
Published: July 2022

Aim. To determine whether a decrease in HBsAg to <0.05 IU/mL could be a criterion for cessation of finite nucleos(t)ide analogue (NUC) therapy in patients with chronic hepatitis B (CHB). Methods. This was a retrospective analysis of 6715 patients with CHB between January 1998 and May 2016. Patients were followed up every 12–24 weeks. Among 104 patients achieving HBsAg levels < 0.05 IU/mL, 71 were eligible for inclusion in the analysis: 31 received finite NUC therapy, and 40 received indefinite NUC therapy. In the finite therapy group, 9 patients received no NUC consolidation therapy, 6 received short‐term (<1 year) consolidation, and 16 received long‐term (>1 year) consolidation. The outcome measures were alanine aminotransferase (ALT), total bilirubin, albumin, hepatitis B virus DNA, and HBsAg levels. Results. Baseline parameters and characteristics at the time when HBsAg levels had fallen to <0.05 IU/mL were similar between the finite and indefinite therapy groups. No patients experienced viral breakthrough/relapse during a median follow‐up of 120 weeks. There were little or no differences in long‐term outcomes between the finite and indefinite therapy groups and between the short‐term and long‐term consolidation groups. Conclusions. Discontinuation of NUCs may be acceptable in patients whose HBsAg levels fall to <0.05 IU/mL. Consolidation therapy lasting <1 year appears adequate to prevent poor long‐term prognosis.
Application of Computer 3D Modeling Technology in Graphic Image Design
Authors: Liu Jin
Published: July 2022

In order to solve the problem that the manual input data work efficiency is low and the optimization cannot be achieved in the section modulus calculation, the author proposes a computer-aided 3D graphic design method for ship hull structure. First, complete the modeling of the ship hull, complete the statistical calculation of the size in the CAD platform, solve the static moment, and complete the three-dimensional modeling; Calculate the inertial load and wave load of the ship during work, and calculate the wave bending moment, and substitute it into the three-dimensional model for verification. Finally, according to the computer-aided three-dimensional graphic design process, the specification verification of the ship’s scale is completed, the graphic file is associated with the database, and the three-dimensional graphic design is completed. Experimental results show that the maximum stress of the original three-dimensional integrated graphic design of the ship is 202 MPa, and the maximum deformation is 87.352 mm. Based on the computer-aided three-dimensional integrated graphic design of the ship, the maximum stress is 226 MPa, and the maximum deformation is 76.234 mm. In conclusion: the hull obtained by the computer-aided three-dimensional graphic design of the ship can effectively reduce the total area and materials of the midsection structure of the ship, reduce the weight of the hull, and realize the optimal configuration of the midsection material of the ship.
Multimedia Computer Network Education in Students’ Wisdom Course Teaching
Authors: Wang Shuai , Xue Mengchen , Wang Qi , Li Dandan , Wang Jianxing
Published: July 2022

With the development of multimedia related technologies, smart education has entered a new stage. With the support of multimedia computer network education, education is no longer traditional school education, network education can be carried out through smart devices, and knowledge innovation and dissemination can be achieved through the huge teaching resources of the multimedia and the Internet. By investigating the application of multimedia computer network education in smarter course teaching, this paper analyzes the students’ recognition of the use of multimedia tools for smarter course teaching in smarter course teaching activities, students’ participation in smarter course learning activities under multimedia computer network education, and students’ learning effects to prove that multimedia technology is conducive to the improvement of students’ learning quality.
Comparison Efficacy and Safety of Gemcitabine plus Cisplatin and 5-Fluorouracil plus Cisplatin for Metastatic Nasopharyngeal Carcinoma: A Meta-Analysis and Systematic Review
Authors: Yan Le , Zheng Hanxue , Ren Bi , Zhang Huiping , Gou Haocheng , Dai Lintong
Published: July 2022

Objective. To compare the efficacy and safety of gemcitabine plus cisplatin (GP) and 5-fluorouracil plus cisplatin (PF) for metastatic nasopharyngeal carcinoma. Methods. The clinical trials of GP and PF in the treatment of metastatic nasopharyngeal carcinoma (NPC) were searched in PubMed, EMBASE, Cochrane Library, and Web of Science. The literature search met the inclusion and exclusion criteria. The software Revman 5.4 was used for data analysis, and STATA 15.0 was used for publication bias. Results. 10 studies were included in this meta-analysis. The results showed that the GP group had a higher clinical remission rate than the PF group (RR = 1.22, 95% CI (1.03–1.44),

P
=
0.02

,

P
=
0.02

). GP and PF groups in OS, PFS, and DMFS had the same effect at 1, 2, and 3 years (OS at 1 year: RR = 1.04, 95% CI (0.95–1.15),

P
=
0.37

,

P
=
0.37

; 2 years: RR = 1.08, 95% CI (0.94 1.23),

P
=
0.28

,

P
=
0.28

; 3 years: RR = 1.07, 95% CI (0.89 1.29),

P
=
0.46

; PFS at 1 year: RR = 1.98, 95% CI (0.29 13.44),

P
=
0.49

; 2 years: RR = 3.09, 95% CI (0.10 97.55),

P
=
0.52

; 3 years: RR = 0.95, 95% CI (0.73 1.24),

P
=
0.71

; DMFS at 1 year: RR = 1.01, 95% CI (0.90–1.14),

P
=
0.83

; 3 years: RR = 1.10, 95% CI (0.85–1.41),

P
=
0.47

. The number of hematological adverse reactions occurred in GP group was higher than the PF group. Conclusion. The GP and PF groups had similar OS, PFS, and DMFS, but the GP group had a higher clinical remission rate. Therefore, GP may be the first choice for metastatic NPC.
Combination of Preoperative Circulating Tumor Cell Count and Neutrophil‐Lymphocyte Ratio for Prognostic Prediction in Hepatocellular Carcinoma Patients after Curative Hepatectomy
Authors: Ni Hang-Hang , Yang Xi-Hua , Yang Cheng-Lei , Zhang Qian , Xu Jing-Xuan , Qi Lu-Nan , Xiang Bang-De
Published: July 2022

Background. Both the preoperative neutrophil‐lymphocyte ratio (NLR) and circulating tumor cell count (CTC) are associated with poor prognosis in hepatocellular carcinoma (HCC). The purpose of this study was to explore the prognostic value of these two indices (CTC‐NLR) in HCC. Methods. We retrospectively collected demographic and clinical data, including NLR and CTC, from 97 patients with HCC who underwent curative hepatectomy at our institution from March 2014 to May 2017. X‐Tile software was used to confirm the optimal cut‐off value of NLR and CTC for predicting overall survival (OS) in this study. OS were also analyzed using Kaplan‐Meier and Cox regression methods. Based on preoperative CTC and NLR, patients were divided into three groups: CTC‐NLR (0), CTC‐NLR (1), and CTC‐NLR (2). Relationships of CTC‐NLR with clinicopathological factors and survival were evaluated. Results. Preoperatively, CTC positively correlated with NLR. Patients with NLR and CTC higher than the cut‐offs had shorter OS than patients with low NLR and CTC. Kaplan‐Meier analysis, and log‐rank tests revealed significantly lower OS among patients with CTC‐NLR scores of 0, 1, and 2. Uni‐ and multivariate analyses showed that CTC‐NLR (hazard ratio 2.050, P = 0.005), CTC (hazard ratio 2.285, P = 0.032), and NLR (hazard ratio 1.902, P = 0.048) were independent predictor of OS. A time‐dependent ROC curve indicated that the prognostic efficacy of the CTC‐NLR at 1 year (0.714) was better than that of NLR (0.687) and CTC (0.590); the prognostic efficacy of the CTC‐NLR at 2 years (0.746) was better than that of NLR (0.711) and CTC (0.601); the prognostic efficacy of the CTC‐NLR at 3 years (0.742) was better than that of NLR (0.694) and CTC (0.629). Conclusions. HCC patients with higher NLR and CTC tend to show shorter OS. Preoperative CTC‐NLR may be associated with poor survival and might be a reliable prognostic predictor in HCC after curative hepatectomy.
Transcriptome Classification Reveals Molecular Subgroups in Idiopathic Pulmonary Fibrosis
Authors: Liu Yuxia , Xu Chang , Gao Wenxin , Liu Huaqiong , Li Chenglong , Chen Mingwei
Published: July 2022

Idiopathic pulmonary fibrosis (IPF) is a disease of progressive lung fibrosis with a high mortality rate. This study aimed to uncover the underlying molecular features for different types of IPF. IPF microarray datasets were retrieved from GEO databases. Weighted gene co-expression analysis (WGCNA) was used and identified subgroup-specific WGCNA modules. Infiltration-level immune cells in different subgroups of microenvironments were analyzed with CIBERSORT algorithms. The result is we classified 173 IPF cases into two subgroups based on gene expression profiles, which were retrieved from the GEO databases. The SGRQ score and age were significantly higher in C2 than in C1. Using WGCNA, five subgroup-specific modules were identified. M4 was mainly enriched by MAPK signaling, which was mainly expressed in C2; M1, M2, and M3 were mainly enriched by metabolic pathways and Chemokine signaling, and the pathway of M5 was phagosome inflammation; M1, M2, M3, and M5 were mainly expressed in C1. Utilizing the CIBERSORT, we showed that the number of M1 macrophage cells, CD8 T cells, regulatory T cells (Tregs), and Plasma cells was significantly different between C1 and C2. We found the molecular subgroups of IPF revealed that cases from different subgroups may have their unique patterns and provide novel information to understand the mechanisms of IPF itself.
[Retracted] Biologically Synthesized Copper Nanoparticles Show Considerable Degradation of Reactive Red 81 Dye: An Eco‐Friendly Sustainable Approach
Authors: Rafique Muhammad Asim , Jamal Adil , Ali Zainab , Kiran Shumaila , Iqbal Sarosh , Nosheen Sofia , Ansar Zulqarnain , Hossain Md Belal
Published: July 2022

Diospyros kaki leaf extract was used in this study as a favorable basis for the synthesis of copper nanoparticles (Cu NPs). X‐ray diffraction (XRD) and UV‐visible spectroscopy approaches were used to characterize the biologically synthesized copper nanoparticles. The XRD analysis showed that copper nanoparticles were face‐centered cubic structure. Various experimental levels like conc. of dye, concentration of Cu NPs, pH, reaction time, and temperature were optimized to decolorize reactive red 81 dye using the synthesized Cu NPs. Reactive red 81 dye was decolorized maximum using Cu NPs of 0.005 mg/L. Additionally, reactive red 81 dye was decolorized at its maximum at pH = 6, temperature = 50°C. Our study reported that chemical oxidation demand (COD) and total organic carbon (TOC) deduction efficacies were 74.56% and 73.24%. Further degradation study of reactive red 81 dye was also carried out. Cu NPs have the ability and promising potential to decolorize and degrade reactive red 81 dye found in wastewater.
Delays in Diagnosis and Treatment in Patients Underwent Endobronchial Ultrasound-Transbronchial Needle Aspiration (EBUS-TBNA)
Authors: Gülçek Emine , Yalçınsoy Murat , Gülçek İlham , Nakış Güven Arzu , Ermiş Hilal , Aytemur Zeynep Ayfer
Published: July 2022

Objectives. Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) has been recognized as the first method of choice in the diagnosis of mediastinal and hilar lesions. Although the procedure is commonly used, there is no study assessing its contribution to the duration required for diagnosis and treatment. In this study, we aimed to determine the extent of diagnosis and treatment delays when using the EBUS-TBNA procedure and to address the possible factors contributing to these delays. Materials and Methods. The demographic data, pathological diagnosis, need for additional procedures, symptoms, presenting complaints, and the time until the beginning of treatment were recorded retrospectively in all patients who had undergone EBUS-TBNA. Results. A total of 134 patients (mean age 60.7 ± 12 years, M/F: 78/56) were included. Delay of the patients was found in 60.4% (n = 81), delayed referral in 35.8% (n = 48), diagnosis delays in 84.3% (n = 113), treatment delays in 38.8% (n = 52), and total delay in 73.1% (n = 98) of the patients. A statistically significant association was found between referral delay and total delay with age groups (

p
=
0.006

) and between patient delay and the presence of symptoms (

p
=
0.027

). EBUS-TBNA was found to have the lowest effect among all delay parameters (β: 0.104,

p
<
0.001

) in the regression analysis. When diagnosis times’ subgroups were compared, EBUS-TBNA was found to have the least effect (correlation coefficient: 0.134,

p
=
0.004

). Conclusion. We found that approximately ¾ of the patients had a delay and this is not acceptable in real terms. Considering that the patient burden is increasing day by day, it is necessary to make a radical change in health care or a change in strategy in order to prevent delays. EBUS-TBNA, which is in the diagnosis delay subgroup, is less invasive and accelerates the process.
Application of Cluster Analysis Technology in Visualization Research of Movie Review Data
Authors: Xu Bin , Chen Cheng , Yang Jong-Hoon
Published: July 2022

In order to improve the reference value of film review data, this paper combines clustering analysis technology to construct a film review clustering visualization research system to improve the visualization effect of film reviews. Moreover, this paper analyzes online reviews based on the method of type-2 fuzzy sets and determines the interval of type-2 fuzzy sets of each factor set of commodity status in commercial stores by considering both the language and specific numbers of keywords in online review texts. In addition, this paper analyzes intelligent control through practical application and sets the expected target of the control object. Finally, according to the fuzzy rules and word calculation, this paper determines the interference or improvement measures that can be referenced to form a closed-loop control. The experimental research shows that cluster analysis technology can play a certain role in the visual analysis of film review data.