bluuebunny/crossref_metadata_2025 huggingface dataset:
Increased Matrix Metalloproteinase-2 and Matrix Metalloproteinase-3 Concentrations in Corneal Epithelium of Patients with Recurrent Corneal Erosions
Authors: Jadczyk-Sorek Katarzyna , Garczorz Wojciech , Bubała-Stachowicz Beata , Francuz Tomasz , Mrukwa-Kominek Ewa
Published: September 2022

Purpose. To assess the role of selected matrix metalloproteinases in defective corneal re-epithelization in patients with recurrent corneal erosions. Subjects. The study group (group 1) included patients with recurrent corneal erosions qualified for phototherapeutic keratectomy. The group 1 was divided into two subgroups regarding the etiology of recurrent corneal erosions: group 1A, Cogan’s basement membrane dystrophy, and group 1B, trauma. The control group (group 2) included patients with healthy eyes qualified for Epi-Bowman Keratectomy. Methods. The analyzed material was the corneal epithelium collected during phototherapeutic keratectomy or Epi-Bowman Keratectomy in the study or control group, respectively. Matrix metalloproteinases concentration was determined by an immunohistochemical method using Human Magnetic Luminex® Assay. Results. The study revealed a statistically significantly higher concentration of matrix metalloproteinase-2 in group 1 compared to the control and a statistically significantly higher concentration of matrix metalloproteinase-3 in group 1 compared to the control. Conclusions. The results obtained in the study can prove that matrix metalloproteinase-2 and matrix metalloproteinase-3 having the ability to dissolve anchoring fibers and the corneal epithelial basement membrane could be responsible for epithelial instability and their accumulation in the corneal epithelium may induce recurrence of erosion.
The Value of Preemptive Pick-Up Services in Dynamic Vehicle Routing for Last-Mile Delivery: Space-Time Network-Based Formulation and Solution Algorithms
Authors: Meng Weiran , Meng Lingyun , Han Guoshuai , Zhuang Xiaotian , Tong Lu Carol , Wu Shengnan
Published: September 2022

In recent years, with the increase of emerging pick-up requests during service, logistics companies have been driven to integrate delivery and pick-up service in a dynamic environment. To provide a balanced and robust approach to cope with delivery requests and emerging pick-up requests, this article aims at considering and modeling a practically useful service principle as preemptive services. To our knowledge, most existing studies assume that the dynamically arriving requests are handled in a non-preemptive processing sequence; that is, once the delivery person is allocated to a task, the process is noninterruptible till it gets completed. In the preemptive service, a service suspension of the delivery process (with low service utility) is allowed to satisfy the pick-up requests (with high service utility) first. To provide a systematic assessment on the value of preemptive service for evolving urban logistics systems, a dynamic vehicle routing problem with preemptive pick-up service (VRPPS) is proposed to systematically describe the problem with potentially complex dynamic priorities among different tasks. Based on a dynamically constructed space-time network, this study formulates a multicommodity flow model that aims at optimizing the generalized service utility and the operating cost simultaneously. To provide a fast value approximation, we present a solution framework deploying the augmented Lagrangian relaxation approach with embedded dynamic programming algorithms. This framework jointly integrates the processes of updating request information and obtaining optimal routes. Finally, the validity and effectiveness of the proposed methods are evaluated on an illustrative network and a real-world last-mile delivery network operated by a logistics company.
Application of Artificial Intelligence Computer Intelligent Heuristic Search Algorithm
Authors: Gong Fanghai
Published: September 2022

In order to transform three-dimensional space path planning into two-dimensional plane path planning problem and greatly reduce the search time, an intelligent heuristic search algorithm based on artificial intelligence is proposed. The heuristic search algorithm is analyzed and introduced, and A is chosen. A two-dimensional spatial environment model of picking robot path planning is investigated, and a spatial model of picking robot path planning is established by raster method. Then, considering the whole day operation time, the whole day operation time is divided into several periods. With the help of heuristic search algorithm, the most reasonable operation time interval of each period is found, so as to provide reliable reference for the decision-making organization of urban rail transit operation on how to arrange the train rationally. The experimental results show that the improved A

∗

algorithm can significantly improve the moving path of the picking robot and make the planned path smoother, which confirms the feasibility and superiority of the improved algorithm. The operation decision of urban rail transit is obtained through experiments. After 114 iterations of the heuristic search algorithm, the optimal value is 6.83353635

e

-001, while the average optimal value is 6.83551939

e

-001. After 231 iterations of particle swarm optimization algorithm, the optimal value is 6.83650785

e

-001. The average optimal value is 6.83745935

e

-001. After 789 iterations, the genetic algorithm obtains the optimal value of 6.83921100

e

-001, and the average optimal value is 6.84410765

e

-001. Through the comparative analysis, it can be seen that compared with the other two optimization algorithms, the heuristic search algorithm is significantly better than the other two optimization algorithms, both in terms of the optimal value and the number of optimization iterations. The results show that the heuristic search algorithm is a fast, accurate, and reliable optimization method to solve the problem of accurate scheduling of urban rail transit departure interval. It is proved that the intelligent heuristic search algorithm of artificial intelligence computer can realize the path planning effectively.
Research on Functional Components and Bioactivity in Tea in the Context of Big Data
Authors: He Jinwu , Fan Weiwei
Published: September 2022

The introduction of the concept of big data has provided considerable convenience in all walks of life, and the field of tea research is no exception. With the rapid development of Internet technology and economic aspects, the traditional methods of functional tea research can no longer meet the growing demand, and it is necessary to change the concept to learn the latest biological activity research methods. In this paper, we use Mao Jian tea from the Lvliang Mountains as an example and use the big data method to collect and analyze data. The main functional components of Mao Jian tea were studied, and some of the functional components and biological activities in Mao Jian tea from the Lvliang Mountains were compared with those of Pu’er tea, black tea, and green tea using UV spectrophotometry. The results showed that the maximum amount of flavonoids in the tea broth reached 43.29 mg/g when the brewing temperature was 90°C, the ratio of tea to water was 1 : 120, the brewing time was 20 min, and the Lvliang Mao Jian tea brewed under this condition had the highest activity, in which the flavonoid health function played the most effective role.
[Retracted] Medical Data Analysis of CYP1B1 Gene Polymorphism and Clinical Prognosis of Minimally Invasive Surgery for Lung Cancer
Authors: Han Xia , Li Danqing , Zhang Shaofeng
Published: September 2022

To address the issue of genetic mutations in medical records, clinical studies on minimally invasive surgery for breast cancer have been proposed. The CYP1B1 gene is mainly a single‐nucleotide mutation, which affects the enzymatic reaction related to carcinogens and causes the susceptibility differences of different individuals. First, the survival rate and other factors influencing the estimation of 120 leukemia patients were examined with the help of various medical records by establishing an organization for auxiliary diagnosis of lung cancer based on expertise. Secondly, through the treatment of 120 leukemia patients after minor surgery, the average life expectancy of 120 patients was 19 months, the one‐year survival rate was 74.61%, and the two‐year survival rate was 32.70%. Currently, there are more than 160 cases of CYP1B1 discovered. In recent years, people have gradually entered into in‐depth research on the correlation between genes and lung cancer, which is of great significance to the treatment and research of lung cancer. An analysis showed patients’ age, stage, whether they would work, whether radiation therapy and antibiotics were offered, and so on. s has a direct impact on patient survival, and many tests have shown that the patient’s age, stage, whether it will work, and whether fire radiation and drug therapy are provided are important interventions for patients with anemia. Finally, in patients with leukemia, especially during the restricted period, combined treatment with a physician, radiologist, and surgeon should be initiated as soon as possible. For a wide range of disease, depending on the use of chemotherapy, local metastasis with antibiotics can improve the disease. After success, it is more beneficial to choose second‐line treatment.
Medicine Insufficient Evidence for the Efficacy of Massage as Intervention for Autism Spectrum Disorder: A Systematic Review
Authors: Ruan Hui , Eungpinichpong Wichai , Wu Hua , Shen Minggui , Zhang Aijiao
Published: September 2022

The efficacy of massage therapy in the treatment of children with autism spectrum disorder (ASD) remains unclear. This study systematically reviewed the impact of massage therapy on children with ASD according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) declaration guidelines. A literature search of the PubMed, Web of Science, Science Direct, Scopus, Google Scholar, and China National Knowledge Infrastructure (CNKI) electronic databases from inception to December 20, 2020, was conducted using the term “autistic/autism” along with one of the following terms, “massages,” and “Tui na.” The risk of bias was assessed using the Cochrane risk of bias Tool. Eight randomized controlled trials examining the impact of massage on children with ASD were included. Interventions combining Qigong massage or Tui na with the control group treatments from once a day to twice a week, for a duration of 15–30 mins, and lasting for six weeks to five months were the main interventions. All reviewed studies reported significant improvement in children with ASD who received massage, especially in the sensory domain, and that massage in combination with control treatment was superior to control treatment alone. However, the overall quality of the available studies is poor with a high degree of heterogeneity. The majority of studies showed a high risk of bias with poor study design, inconsistency in massage protocols, and subjective outcome measures. Assessment bias was a common weakness of these studies. Therefore, there is insufficient evidence to conclude that massage is effective for ASD. Future studies should include large sample sizes, incorporate double-blind designs, employ appropriate outcome measures, and allow for long observation and follow-up periods. Furthermore, consensus must be reached on standardized treatments and additional therapies in order to provide better quality evidence for the treatment of ASD.
The Classification of Multi‐Domain Samples Based on the Cooperation of Multiple Models
Authors: Song Qingzeng , Xu Junting , Ma Lei , Yang Ping , Jin Guanghao
Published: September 2022

This article proposed a novel classification framework that can classify the samples of multiple domains based on the outputs of multiple models. Different from the existing methods that train single model on all domains, our framework trains multiple models on each domain. On a testing sample, the outputs of all trained models are used to predict the domain of this sample. Then, this sample is classified by the output of models that belong to the predicted domain. Experiments show that our framework achieved higher accuracy than the existing methods. Furthermore, our framework achieves good scalability on multiple domains.
Low‐Voltage Low Noise Figure Down‐Conversion Mixer for Band #1 of MB‐OFDM System in 180 nm Complementary Metal Oxide Semiconductor Technology
Authors: Chaturvedi Abhay , Kumar Mithilesh , Meena Ram Swaroop , Prasad Vasireddy Raghu Ram
Published: September 2022

Low‐voltage design is a challenge for Gilbert cell‐based mixers due to stacking transconductance and switching stage. This work addresses this issue by proposing a design of a low‐voltage down‐conversion mixer for band #1 of multiband orthogonal frequency division multiplexing (MB‐OFDM) system in 180 nm complementary metal oxide semiconductor (CMOS) technology. The mixer is tuned at band #1 at RF frequency of 3.432 GHz and IF frequency of 264 MHz. The proposed mixer uses folded cascode connection of LO and RF in order to increase headroom and to reduce the DC supply voltage for low‐voltage operation. Common gate configuration is used at RF transconductance stage to enhance the input bandwidth of the mixer. RF and LO ports are matched to 50 Ω using differential T and LC matching, respectively. The resistive source denegation technique is used to linearize transconductance with respect to the bias point. The common source stage is used at the IF port as a buffer cum matching circuit it. The simulation results of the mixer show the maximum conversion gain of 9.76 dB, 1 dB compression point (P1dB) of ‐16.25 dBm, the third‐order input intercept point (IIP3) of ‐4.70 dBm, an SSB noise figure of 9.036 dB, and S11of ‐19.490 dB at the supply voltage of 1.2 V. Excluding off chip components, proposed mixer records an active area of 926.35 μm2.
Analysis of Perception Variance in Regret Choice Modeling Based on GPS Data Considering Building Environment Effects
Authors: Chen Qiong , Zhang Hong , Song Yuchen , Huang Donghao , Li Dawei , Wang Haining
Published: September 2022

The purpose of this paper is to deal with the perception variance problem in regret model by scaling perception variance and relaxing the distribution assumption of the random error term, which are corresponding to the attribute and alternative differences, respectively. Specifically, the power coefficient in regret function can capture individual perception variance of specific attributes and latent class structure is used to analyze individual heterogeneity of alternative differences by defining weight function. Accordingly, perceiving behaviors of individuals are analyzed in depth and generating absolute and relative behavior interpretation and asymmetric property. The proposed models are estimated and analyzed using GPS data of taxis in Guangzhou, and bicycle household surveys are collected in Tel Aviv metropolitan area. The results show both significant effects of attributes on drivers’ and cyclists’ route choice behavior and identification of different types (absolute or relative) of perceiving attribute and alternative regret differences of the two travelers by incorporating the ratio of length between chosen route and the shortest route.
Behavioral Training of High-Functioning Autistic Children by Music Education of Occupational Therapy
Authors: Xia Ting , Li Zongrun
Published: September 2022

Autistic children, also known as “children from the stars”, have been discovered for more than half a century, but there is still no unified conclusion on the diagnosis, causes, manifestations, and education of autism. The current theory and practice suggest that there is a need to improve the treatment and education of these children. According to existing theories and practices, most autistic children show a special interest in music, and music is very effective in the treatment of autistic children, and through musical activities, children with autism can improve their language, social and emotional, cognitive, and sensorimotor development. In this paper, we record and observe the music classes of children with autism. We select two classes with a total of seven children with autism as the observation subjects in the music classes, record the changes in various aspects and behavioral performance of these seven children with autism in the music activities, and analyze and summarize them. The main purpose of this study is to analyze and summarize how the three major music teaching methods are implemented in the music classroom for autistic children and how they can help autistic children with different characteristics. In the end, we summarize the main problems of music teaching for autistic children found in practice and try to make some suggestions, hoping to provide reference for scholars who study music education for autistic children. The music teaching activities were effective in improving the children’s joint attention, movement imitation, rhythm imitation, and cooperation ability, and all three children improved to varying degrees, fulfilling the goals of the teaching activities. The behavioral analysis of the three children during the teaching activities showed that the three children improved their ability to sit comfortably, awareness, musical ability, and rule awareness and reduced inappropriate behaviors and bad emotions, which proved that music education could improve the social and cognitive skills of the children.
[Retracted] Design and Construction of University Book Layout Based on Text Image Preprocessing Algorithm in Education Metaverse Environment
Authors: Sun Xinyi
Published: September 2022

Books have a significant role in the diffusion of cultural information since they not only carry the weight of cultural inheritance but also serve to preserve historical culture. The major goals of contemporary book layout design are to establish harmony and coherence; maintain overall coordination between the internal and external; and have distinctive, inventive, and modern aesthetic impacts in the context of the educational metacosmos. It is important to emphasize the artistic value and beauty of contemporary books using proper creative language design strategies. The discussion of contemporary book layout design therefore helps to increase understanding of contemporary book layout design. This essay briefly addresses book layout design and examines how books are constructed in colleges and universities. Based on the educational metauniverse environment, it outlines a number of issues that should be taken into account when designing the book’s layout. Layout analysis and text image preparation methods are used in modelling. The experimental findings indicate that this algorithm can recognise text regions with an accuracy of 94.8% and a recognition rate of 94.5%, respectively. It is concluded that the method suggested in this work has some reference value for the advancement of university book layout design and can be applied effectively in layout analysis and text typesetting.
Research on Radionuclide Diffusion Mechanism in the Ocean and Emergency Response under Oceanic Radioactive Events
Authors: Li Zichao , Chen Rongchang , Liu Chen , Xue Qingqing , Wang Zhixia , Zhou Tao
Published: September 2022

On March 11, 2011, a serious radionuclide leakage accident occurred at Fukushima Daiichi nuclear power plant, and a large number of radionuclides were released, causing serious pollution to the ocean environment. On August 25, 2021, Japan announced the overall plan for the discharge of radioactive sewage from the Fukushima Daiichi nuclear power plant into the ocean, and the discharge will begin around the spring of 2023. All operational and under-construction nuclear power plants in China are distributed in coastal areas presently. In case of a nuclear leakage accident, radionuclides will diffuse through the ocean and pollute the ecological environment. The study of radionuclide diffusion mechanism in the ocean and emergency response plays an important role in accident mitigation under oceanic radioactive events. A radionuclide diffusion model in the ocean was established and the radionuclide diffusion mechanism in the ocean was analyzed. And then a prediction and monitoring system of radionuclide diffusion in the ocean was proposed. The results show that the short-term radionuclide diffusion is mainly influenced by the source term, flow field and decay of 131I, and the degree of influence decreases in turn. On the whole, influences of the flow field and 131I decay are weakened during the long-term diffusion. At the same time, the influence of 137Cs decay begins to be obvious and the influence of suspended matter is increasing. The influence of ocean organisms is always small. Problems of scientific prediction and protection were analyzed, and the emergency response scheme was given. It is of great significance to improve the capacity of emergency response for oceanic radioactive events.
Application of CAD Technology in Extracting Line Feature of Industrial Part Image
Authors: Li Fei
Published: September 2022

In order to solve the problem that the properties of the acquired images in engineering are often poor and the features of the images are seriously lost, so that the image features cannot be effectively developed, an application method of CAD technology in the extraction of linear features of industrial parts images is proposed. Based on 3D computer-aided design (CAD) data, by solving the parameter transformation relationship between the CAD 3D Cartesian coordinate system and the image coordinate system, the target line feature is projected onto the image, and the initial value range of the image line feature is obtained. The edge point sequence is extracted by multiplication template matching, and the generated point sequence is fitted by the least square method to obtain the line equation of the image line feature. By solving the intersection of the intersecting lines of the image, the straight line segment representing the contour of the industrial part can be obtained with high precision. The experimental results show that the above algorithm is used to extract the line features of real industrial part images, and the median error of the difference between the reconstructed line length and the line length measured by the vernier caliper is 0.232 mm. The practice has proved that CAD technology has a certain auxiliary and guiding role in the research of industrial part image feature extraction algorithms. It can be applied to high-precision image measurement and reverse engineering of regular industrial parts. In engineering technology, it can help improve the automation level of industrial production.
Reduction of Seepage Risks by Investigation into Different Lengths and Positions for Cutoff Wall and Horizontal Drainage (Case Study: Sattarkhan Dam)
Authors: Brontowiyono Widodo , Hammid Ali T. , Jebur Yasir M. , Al-Sudani Ahmed Q. A. S. , Mutlak Dhameer A. , Parvan Masoud
Published: September 2022

Seepage from the earth dam’s body reduces the amount of water in the dam’s reservoir and threatens its stability. In this paper, the earth‐type Sattarkhan Dam on the Aharchai River has been investigated. In this regard, the SEEP/W model from the GeoStudio 2018 software suite was used for modeling. This study examines the effects of various lengths and positions of cutoff wall and horizontal drainage on seepage, uplift pressure, and exit gradient. Increasing the length of the cutoff wall reduces seepage in both sections, with a more significant effect on Section 2; it also decreases the uplift pressure and the exit gradient. Changing the position of the cutoff wall has a significant effect on seepage fluctuations in Section 1 but has no effect on seepage in Section 2; in positions 2 to 7, the uplift pressure values are nearly identical, and the exit gradient is most significant at position 1 and least at position 2. Increasing the horizontal drainage’s length increases seepage, reduces uplift pressure, and increases the exit gradient. The closer proximity of the horizontal drainage position to the dam’s core increases seepage and decreases uplift pressure and exit gradient. Finally, it is concluded that the construction of a cutoff wall and horizontal drainage with appropriate lengths and positions reduces risk and improves the stability of earth dams.
A Retrospective Case Series in Fournier’s Disease: And Its Emergency Management et Grafting Technique for Penis Coverage
Authors: Tripodi Domenico , Guastafierro Antonio , Gagliardi Federica , Amabile Maria Ida , Lori Eleonora , Cirocchi Roberto , Pironi Daniele , Forte Flavio , Cannistra Claudio , Sorrenti Salvatore
Published: September 2022

Fournier’s gangrene is a necrotizing soft tissue infection of the genital, perineal, and perirectal areas. A primary isolated involvement of the penis is rare, but it can be affected in some circumstances. The purpose of this case series is to present the findings of our thirteen years’ experience in the reconstruction of the penis in Fournier’s gangrene and our full-thickness grafting technique to cover the penis rod. We retrospectively reviewed patient data who underwent a penis reconstruction following Fournier’s gangrene in 2018. The data was analyzed to report the estimated percentage of complications, of patients with primary or secondary gangrene of the penis, the number of reinterventions, and finally the percentage of deaths or recovery. 23 patients underwent reconstruction with our technique of full-thickness skin graft. In all cases, the skin graft was harvested from the upper arm with an arrow shape mark. No further penile revision surgery was required, and neither patient complained about retraction, nor traction, or pain during erection. The donor site healed without any complications. We believe that the coverage of the penis using our grafting technique is safe, easily reproducible, and demonstrates excellent esthetic and functional results.
Improving the Effect of English Classroom Teaching Based on the Real-Time Supervision of College Students
Authors: Deng Wenjing , Jiang Bo
Published: September 2022

This paper proposes a method to improve the effect of English classroom teaching based on the real-time monitoring of college students’ status. Education informatization reinsert teaching evaluation and teaching management methods, use the new generation of information technology to track the entire process of monitoring and teaching, and carry out academic analysis and learning diagnosis, to pay attention to knowledge teaching to more emphasis on the cultivation of ability quality. Behavior analysis can identify students’ classroom behavior in real time to track changes in the state of students. We herein count the classroom status of students and formulate quantitative guidelines and analyze the sequence diagram of each classmate’s class behavior state and statistics from the time and duration of various classroom behaviors in classmates. Each student’s listening quality is scored, and the visual methods such as sequential maps and distributed cake maps are used in class behavior to enable students to understand their own quality of the lesson. By analyzing the laws of student class behavior status distribution, we provide a data-driven mechanism for teacher classroom teaching quality evaluation and teaching method improvement.
COOPS: A Code Obfuscation Method Based on Obscuring Program Semantics
Authors: Li Yang , Kang Fei , Shu Hui , Xiong Xiaobing , Sha Zihan , Sui Zhonghang
Published: September 2022

As reverse engineering technology develops rapidly, the financial loss caused by software security issues is urgent. Therefore, how to effectively protect software is a critical problem to solve. The software protection method based on code obfuscation is an effective way, and constructing an effective obfuscation algorithm can increase the cost of reverse software. It is conspicuous that current development of code obfuscation focuses on increasing the complexity of the code structure without paying much attention to the protection of program semantic information, which may help experienced attackers improve their analysis efficiency. This paper proposes COOPS for protecting software based on program semantic information, in which functions are regarded as basic semantic units. The switch relationship between the intrafunction control flow and the interfunction calling is established. The interfunction calling can be hidden in the intrafunction control flow, and in reverse, the intrafunction control flow can also be converted to interfunction calling. In this way, considering intraprogram function semantic unit level discrete, this method reconstructs the intraprogram semantic relationship. To determine the relative effectiveness, we have evaluated COOPS on OpenSSL and SpecInt-2000 test sets. For both of them, the function calling graphs before and after obfuscation differ more than 90%, which means COOPS significantly changes the control flow of the program. The evaluation shows that compared with O-LLVM, COOPS manifests strong resistance to Asm2vec and other program similarity analysis techniques and significantly improves the level of software protection rather than necessitating time-consuming and heavyweight problems.
Stability, Chaos, and Bifurcation Analysis of a Discrete Chemical System
Authors: Khan Abdul Qadeer , Alsulami Ibraheem M. , Sadiq Umbreen
Published: September 2022

The local dynamics, chaos, and bifurcations of a discrete Brusselator system are investigated. It is shown that a discrete Brusselator system has an interior fixed point P(1, r) if r > 0. Then, by linear stability theory, local dynamical characteristics are explored at interior fixed point P(1, r). Furthermore, for the discrete Brusselator system, the existence of periodic points is investigated. The existence of bifurcations around an interior fixed point is also investigated and proved that the discrete Brusselator model undergoes hopf and flip bifurcations if (r, h) ∈ ℋℬ|P(1, r) = {(r, h),  h = 2 − r} and , respectively. The next feedback control method is utilized to stabilize the chaos that exists in the discrete Brusselator system. Finally, obtained results are verified numerically.
Employment of Ensemble Machine Learning Methods for Human Activity Recognition
Authors: Hasan Tasnimul , Bin Karim Md. Faiyed , Mahadi Mahin Khan , Nishat Mirza Muntasir , Faisal Fahim
Published: September 2022

The endeavor to detect human activities and behaviors is targeted as a real-time detection mechanism that tends to predict the form of human motions and actions. Though sensors like accelerometer and gyroscopes are noticeable in human motion detection, categorizing unique and individual human gestures require software-based assistance. With the widespread implementation of machine learning algorithms, human actions can be distinguished into multiple classes. Several state-of-the-art machine learning algorithms can be applied to this specified field which will give suitable outcomes, yet due to the bulk of the dataset, complexity can be made apparent, which will reduce the efficiency of the model. In our proposed research, ensemble learning methods have been established by assembling several trained and tuned machine learning models. The adopted dataset for the model has been preprocessed through PCA (principal component analysis), SMOTE oversampling (synthetic minority oversampling technique), and K-means clustering, which reduced the dataset to essentials, keeping the weight of the features intact and reducing complexity. Maximum accuracy of 99.36% was achieved from both stacking and voting ensemble methods.
Sound-Induced Flash Illusions Support Cortex Hyperexcitability in Fibromyalgia
Authors: Di Stefano Vincenzo , Iacono Salvatore , Gagliardo Andrea , Maggio Bruna , Guggino Giuliana , Gangitano Massimo , Monastero Roberto , Maggio Vito Renato , Bolognini Nadia , Brighina Filippo
Published: September 2022

Objectives. Fibromyalgia (FM) is characterized by spontaneous chronic widespread pain in combination with hyperalgesia to pressure stimuli. Sound-induced flash illusions (SIFIs) reflect cross-modal interactions between senses allowing to assess a visual cortical hoerexcitability (VCH) by evaluating the fission and fusion illusions disruption. The aims of the present study were to explore whether SIFIs are perceived differently in patients with fibromyalgia as compared to healthy controls (HCs) and how migraine affects fission and fusion illusions in fibromyalgia. Methods. A single flash (F) accompanied by 0 to 4 beeps (B) was presented to induce the fission illusion while multiple flash (i.e., 2 to 4) accompanied by 0 or 1 beep was presented to induce fusion illusion. The mean number of perceived flashes in fission and fusion illusion trials was compared between the groups (i.e., FM, FM with migraine, and HCs) using repeated-measures analysis of variance. Medication history was recorded along with the administration of Fibromyalgia Impact Questionnaire and Hospital Anxiety and Depression scales. Results. Twenty-four patients with FM (mean age 51, 2 ± 10, 6 years; 22 females), seventeen patients with FM and migraine without aura (mean age 47.8 ± 11.4 years; 16 females; 13 chronic, 4 episodic migraine), and forty-one age- and sex-matched HCs (mean age 47.3 ± 6.9 years; 34 females) participated in the study. Fission and fusion illusory effects were detected in all the participants. However, in FM patients, the fission illusion was reduced and almost abolished as compared to HCs (1F1B,

p
=
0.02

; 1F2B,

p
<
0.0001

; 1F3B,

p
<
0.0001

; 1F4B,

p
=
0.0001

), while there were no differences between groups in fusion trials. Migraine did not affect the fission and the fusion illusions. Conclusion. Results from this study confirm that patients with FM have a VCH suggesting that the pathological changes in cortical excitability might have important roles in the pathophysiology of FM. SIFI represents a noninvasive behavioral tool for the exploration of cross-sensory functional interplay.
[Retracted] Effects of Dexmedetomidine and Propofol on Postoperative Analgesia and the Cellular Immune Function of Patients Undergoing Radical Gastrectomy for Gastric Cancer
Authors: Liu Rui , Suo Shanlian , Wang Yihan , Wang Min
Published: September 2022

In order to optimize the anesthesia scheme and improve the effect of surgical treatment, the effects of dexmedetomidine and propofol on postoperative analgesia and cellular immune function of patients undergoing radical gastrectomy for gastric cancer have been analyzed. A total of 86 patients admitted to our hospital from March 2021 to March 2022 who received laparoscopic radical gastritis were selected. The combined dexmedetomidine group (n = 43) and the control group (n = 43) are grouped by the random number table method, respectively. Anesthesia induction regimens of dexmedetomidine combined with propofol and conventional propofol are treated, and the changes in serum stress index, immune function index, analgesia score, and pain score are observed. The results show that the postoperative stress response, analgesic effect, and immune function of patients receiving dexmedetomidine combined with propofol anesthesia are significantly better than those receiving conventional anesthesia, and the incidence of postoperative complications in the dexmedetomidine combined group is significantly lower than that in the control group. The results demonstrate that dexmedetomidine combined with propofol anesthesia intervention has high security in undergoing radical gastrectomy for gastric cancer.
Design and Application of Sports‐Oriented Public Health Big Data Analysis Platform
Authors: Liu MingJun , Meng LingGang , Xu QinEr , Wu MingHua
Published: September 2022

People’s pursuit of public health continues to improve with the rapid economic development. Physical activity is an important way to achieve public health. Excessive physical activity intensity and uncomfortable forms of physical activity can affect people’s physical and mental health. Reasonable physical activity intensity and reasonable physical activity form will be beneficial to public health. People need to choose the corresponding sports mode according to physical function parameters and mental health parameters. However, it is difficult to understand the relationship between physical activity patterns and public health‐related parameters, which limits people to establish reasonable exercise patterns. This research uses big data technology to design an intelligent sports‐oriented public health data analysis scheme. It mainly uses MLCNN method and LSTM method to extract physical function parameter features, mental health parameter features, and sports parameter features. The research results show that the MLCNN method and LSTM can accurately extract and predict the parametric features related to sports and public health. The largest relative mean error is only 2.52%, which is the predicted value of the physical performance parameter characteristics. The smallest prediction error is also 2.27%, and this part of the relative error comes from the prediction of sports parameters.
Effects of Land Use/Cover Change on the Ecosystem Service Values in the Greater Bay Area of China Accounting for Spatiotemporal Complexity
Authors: Liu Yingying , Shi Yalan , Liu Chunyu
Published: September 2022

With the rapid development of the economy, the land use/cover change (LUCC) in the Greater Bay Area (GBA) has undergone tremendous changes, which have had directly negative effects on ecosystem functions and services. The development of sustainable land use strategies to quantitatively evaluate ecosystem services is required. Based on multitemporal land use data (2005, 2010, 2015, and 2020), the equivalent coefficients table method was used to assess the ecosystem service values (ESVs), and the impact of LUCC on ecosystem services was analyzed. A future land use simulation (FLUS) model and multiscenario simulations were employed to predict land use change in 2030. Our results indicated that the loss of ESVs decreased by 14.29 billion yuan from 2005 to 2020. The spatial distribution of the high‐value ecosystem services was concentrated around the peripheral area of the northern regions in the GBA, and those areas had less land use development and human activity. Compared with those in 2020, the total ESVs of the business‐as‐usual (BAU) scenario, socioeconomic development (SED) scenario, and cultivated protection priority (CPP) scenario in 2030 decreased, while they increased in the ecological protection priority (EPP) scenario. In the CPP scenario, regulating, supporting, provisioning, and cultural services increased slightly, but they decreased in the other scenarios. The patterns of LUCC were the main reasons for the decrease in ESVs, such as the loss of land with high ecological value. Additionally, a four‐quadrant analysis is introduced to determine which land use simulation will be expected to be adopted by the government. The findings of this study provide valuable information for decision‐making and policy development in the coastal zones and for the sustainable management of ecosystems.
[Retracted] Analysis of Perioperative Nursing Intervention Effect of Cerebrovascular Intervention Patients Based on Intelligent Internet of Things
Authors: Wen Jiayu , Liu Jing , Xiong Wenping
Published: September 2022

The postoperative results of cerebrovascular surgery patients have been successfully used in medical practice using the Internet. The results obtained through data analysis were used in the study. So far, 120 patients who underwent cerebrovascular surgery from February 2018 to December 2018 have been enrolled. The selected class was divided into two groups: 60 psychiatric patients, a control group and an observation group. The former is medical treatment and the latter is postoperative treatment. Results: The results showed that the blood pressure of control group was lower than that of control group, and the incidence of adverse events was lower than that of control group (P < 0.05). Meanwhile, the average hospitalization rate of cerebrovascular disease patients in control group was lower than that in control group (P < 0.05). Conclusion: For patients with cerebrovascular disease, postoperative nursing can reduce the incidence of postoperative complications, reduce the risk of surgery, and improve the effect of surgery. Acute ischemic stroke refers to a kind of clinical syndrome caused by abnormal blood supply in the brain, resulting in ischemia, hypoxic brain tissue necrosis, and focal or comprehensive neurological deficiency. Among them, progressive cerebral infarction accounted for about 20~35%, and most occurred in the early stage of the disease (48~72)h.
Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm
Authors: Tran Van Quan
Published: September 2022

The permeability coefficient of soils is an essential measure for designing geotechnical construction. The aim of this paper was to select a highest performance and reliable machine learning (ML) model to predict the permeability coefficient of soil and quantify the feature importance on the predicted value of the soil permeability coefficient with aided machine learning‐based SHapley Additive exPlanations (SHAP) and Partial Dependence Plot 1D (PDP 1D). To acquire this purpose, five single ML algorithms including K‐nearest neighbors (KNN), support vector machine (SVM), light gradient boosting machine (LightGBM), random forest (RF), and gradient boosting (GB) are used to build ML models for predicting the permeability coefficient of soils. Performance criteria for ML models include the coefficient of correlationR2, root mean square error (RMSE), mean absolute percentage error (MAPE), and mean absolute error (MAE). The best performance and reliable single ML model for predicting the permeability coefficient of soil for the testing dataset is the gradient boosting (GB) model, which hasR2 = 0.971, RMSE = 0.199 × 10−11 m/s, MAE = 0.161 × 10−11 m/s, and MAPE = 0.185%. To identify and quantify the feature importance on the permeability coefficient of soil, sensitivity studies using permutation importance, SHapley Additive exPlanations (SHAP), and Partial Dependence Plot 1D (PDP 1D) are performed with the aided best performance and reliable ML model GB. Plasticity index, density > water content, liquid limit, and plastic limit > clay content > void ratio are the order effects on the predicted value of the permeability coefficient. The plasticity index and density of soil are the first priority soil properties to measure when assessing the permeability coefficient of soil.
The Blended Teaching Practice of College English Audiovisual Courses in Colleges and Universities from the Perspective of BOPPPS Model
Authors: Yuan Minmin
Published: September 2022

In order to solve the practical problems existing in audiovisual teaching, this paper introduces the BOPPPS model and discusses the organizational mode of audiovisual teaching. Firstly, the inherent meaning of BOPPPS model and hybrid teaching is analyzed, and the suitability of BOPPPS model in audiovisual teaching is clarified. Then, the audiovisual teaching framework based on BOPPPS model is constructed from the perspective of practice. Application strategies are summarized from bridge-in, learning objective, preassessment, participatory learning, postassessment, and summary stages and finally explore matters for attention with examples. The process is systematic and comprehensive, which can provide guidance for teaching practice. The results found that after three days of learning with only hearing, 15 percent of students retained their memory, 40 percent of students with only seeing, and 75 percent of students with only hearing. It can break through the time and space limitation of offline classroom teaching and effectively solve the dilemma of audiovisual courses for English majors.
Research on the Method of Improving the Precision of Parts in Pearl River Delta Gear Enterprises: Analysis of Gear Transmission Error and Tooth Friction Coefficient Based on the Influence of Tooth Surface Roughness
Authors: Zhong Jingling , Fu Shengping
Published: September 2022

Tooth surface roughness is an important index to evaluate the quality of gear processing, which affects the gear transmission error and tooth friction coefficient and changes the gear dynamics. Based on the fractal theory, the gear error correction model considering time-varying roughness is derived, and the new model of time-varying roughness and gear error is introduced into the Xu model to construct the friction coefficient model accounting for time-varying roughness and gear error, which has great reference value for improving the accuracy of gear error. The research results show that the root mean square value of gear error increases by 45.39% and 101.08% under comparison Ra = 0.8 μm, Ra = 1.6 μm, and

R

a

=
3.2

μm, respectively, and the root mean square value of time-varying friction coefficient increases by 45.74% and 148.18%, respectively, which provides theoretical method support for precision management and quality management of gear processing in machinery enterprises.
ITGA5 Promotes Tumor Progression through the Activation of the FAK/AKT Signaling Pathway in Human Gastric Cancer
Authors: Wang Jun-fu , Chen Ye-yang , Zhang Si-wen , Zhao Kun , Qiu Yue , Wang Ye , Wang Jian-cheng , Yu Zhu , Li Bo-pei , Wang Zheng , Chen Jun-qiang
Published: September 2022

Background. ITGA5 is an adhesion molecule that integrates the intracellular structures with the extracellular matrix to perform biological functions. However, ITGA5 is highly expressed in a variety of tumors and is involved in tumor progression by promoting cell proliferation and metastasis. Nevertheless, little research has been performed on its function in gastric cancer. Therefore, the aim of this study was to investigate the role of ITGA5 in gastric cancer, focusing on the mechanism regulating the proliferation, invasion and migration. Methods. The expression of ITGA5 in gastric cancer tissues was assessed by the use of molecular bioinformatics databases and high-throughput sequencing of gastric cancer tissues from patients. Western blot, qPCR, and immunohistochemistry were performed to detect the expression of ITGA5 in samples from gastric cancer patients and gastric cancer cell lines. Furthermore, the ITGA5 gene was silenced and overexpressed in gastric cancer cells, and the effect on proliferation, invasion, migration, and tumorigenic ability was assessed. Results. ITGA5 mRNA and protein expression were upregulated in gastric cancer cell lines and tissues from patients, and its expression was closely associated with tumor size, lymph node metastasis, and TNM stage. In vitro and in vivo experiments showed that ITGA5 silencing resulted in the inhibition of proliferation, invasion, migration, and graft growth of gastric cancer cells; conversely, the overexpression resulted in the promotion of these cell functions. Our results finally showed that the effect of ITGA5 on proliferation, invasion, and migration of gastric cancer cells was performed through the activation of the FAK/AKT pathway. Conclusions. ITGA5 promotes proliferation, invasion, and migration of gastric cancer cells through the activation of FAK/AKT signaling pathway, suggesting that ITGA5 may be potentially considered as a new target in gastric cancer therapy.
Kinetic Study of the Removal of Methyl Orange Dye by Coupling WO3/H2O2
Authors: Eroi N’goran Sévérin , Ello Aimé Serge , Diabaté Donourou , Koffi Konan Roger
Published: September 2022

In the present work, the heterogeneous Fenton-like process was employed to investigate the kinetic models of the degradation of methyl orange (MO) using tungsten oxide/hydrogen peroxide couple. Tungsten oxide particles were successfully synthesized by reflux without surfactant and characterized by using XRD, SEM, TEM, and FT-IR techniques. The influence of parameters such as temperature and concentration of MO was studied and pseudo first-order and second-order models were applied. WO3/H2O2 showed high efficiency in the removal of methyl orange and attained more than 92.8% in 180 min. The first-order kinetic model was described by the removal process with the correlation coefficient of R2 = 0.99.