bluuebunny/crossref_metadata_2025 huggingface dataset:
Sign Language Recognition for Arabic Alphabets Using Transfer Learning Technique
Authors: Zakariah Mohammed , Alotaibi Yousef Ajmi , Koundal Deepika , Guo Yanhui , Mamun Elahi Mohammad
Published: April 2022

Sign language is essential for deaf and mute people to communicate with normal people and themselves. As ordinary people tend to ignore the importance of sign language, which is the mere source of communication for the deaf and the mute communities. These people are facing significant downfalls in their lives because of these disabilities or impairments leading to unemployment, severe depression, and several other symptoms. One of the services they are using for communication is the sign language interpreters. But hiring these interpreters is very costly, and therefore, a cheap solution is required for resolving this issue. Therefore, a system has been developed that will use the visual hand dataset based on an Arabic Sign Language and interpret this visual data in textual information. The dataset used consists of 54049 images of Arabic sign language alphabets consisting of 1500\ images per class, and each class represents a different meaning by its hand gesture or sign. Various preprocessing and data augmentation techniques have been applied to the images. The experiments have been performed using various pretrained models on the given dataset. Most of them performed pretty normally and in the final stage, the EfficientNetB4 model has been considered the best fit for the case. Considering the complexity of the dataset, models other than EfficientNetB4 do not perform well due to their lightweight architecture. EfficientNetB4 is a heavy-weight architecture that possesses more complexities comparatively. The best model is exposed with a training accuracy of 98 percent and a testing accuracy of 95 percent.
SIRT2 Affects Cell Proliferation and Apoptosis by Suppressing the Level of Autophagy in Renal Podocytes
Authors: Liu Shuang , Gao Xiangfu , Fan Zhenliang , Wang Qiao
Published: April 2022

Purpose. Despite the discovery of many important molecules in diabetic nephropathy, there has been very limited progress in the management of diabetic kidney diseases and the design of new drugs. To fill this gap, the present study explored the expression of SIRT2 in high-glucose murine kidney foot cells and its impact on cell biological functions. Methods. Expression levels of SIRT2 in the MPC-5 of murine kidney foot cells after high and normal glucose treatment or in cells targeted with siRNA were detected using qRT-PCR. Cellular proliferation and programmed cell death were analyzed via the CCK8 assay and flow cell technique, separately. Levels of autophagy markers were measured by western blotting, and chloroquine treatment was applied to the cells to observe the effect of SIRT2 on cell proliferation and apoptosis after treatment. Results. The expression level of SIRT2 was remarkably upregulated in the high-GLU group in contrast to the low-GLU group. The cell proliferation and autophagy levels were significantly reduced, and apoptosis was remarkably reinforced in the high-GLU group in contrast to the normal GLU group. However, knocking down the expression level of SIRT2 caused an increase in cell proliferation and cell autophagy levels and significantly weakened apoptosis. Chloroquine influenced cell proliferation and apoptosis in cells targeted with SIRT2 siRNA. Conclusion. SIRT2 expression was upregulated in hyperglycaemic murine kidney foot cells, and knocking down the expression level of SIRT2 affected the biological function of the cells. We found that SIRT2 may modulate cell proliferation and apoptosis by regulating cell autophagy.
Anemia Burden among Hospital Attendees in Makkah, Saudi Arabia
Authors: Arbaeen Ahmad Fawzi , Iqbal Mohammad Shahid
Published: April 2022

Background. Anemia is a major health problem in Saudi Arabia and has multiple etiologies. Many studies have been conducted in Saudi Arabia in specific population groups like school children, adolescents, university students, and females in the reproductive age group, and most have reported high prevalence of anemia. This study was conducted in a specialist hospital in Makkah city and includes all outpatients aged 15 years and above. Objective. To study the burden of anemia among hospital attendees, its stratification based on gender and age, and its severity along with the morphological types of anemia. Methods. This is a study conducted at a specialist hospital in Makkah city and one-month data were collected retrospectively from the laboratory database and include demographic and routine hematological results of complete blood count (CBC). Results. A total of 21,524 patients were included, out of which 9444 (43.9%) were males and 12020 (56.1%) were females. The overall prevalence of anemia was 38.7% (8339). Prevalence was very high in females, accounting for 68.2% (5689), whereas it was 31.8% (2650) in males. There were 39.6% (3301), 43.9% (3657), and 16.6% (1381) cases of mild, moderate, and severe anemia, respectively. In females, anemia was more prevalent in the age group of 15 to 49, which is considered as the reproductive age group. Microcytic anemia was the most prevalent type observed in this age group, accounting for 40.7% of all anemia cases. Normocytic anemia was more prevalent in the males, accounting for 52%. Conclusion. Our study showed high prevalence of anemia among the patients attending outpatient departments in a specialist hospital. Females have high prevalence of anemia when compared to male population. Microcytic anemia was the most common anemia type among females and was seen in the 15–49 age group. There is an increase in prevalence of anemia with age for males, whereas, in females, increased prevalence is observed in the reproductive age groups and the anemia prevalence maintained a steady decrease towards the 5th to the 9th decades. Normocytic anemia was more prevalent in the 5th to the 9th decades, indicating that there are more etiologies other than iron deficiency in the causation of anemia. Macrocytic anemia was the least reported anemia type. Anemia of mild and moderate severity was predominant in both genders, although severe anemia showed higher prevalence in females as compared to males. Conclusion. Anemia is highly prevalent in adolescents, adults, and the elderly in Makkah region. The most common cause is thought to be iron deficiency, although other causes are not uncommon. The authorities need to address the problem of prevention and reduction in anemia prevalence by taking effective measures and interventions.
An Edge Cloud Data Integrity Protection Scheme Based on Blockchain
Authors: Duan Weihua , Jiang Yu , Xu Xiaolong , Zhang Ziming , Liu Guanpei
Published: April 2022

The publicly accessible feature of edge servers leads to the threat of malicious access to the data stored on the server and a series of security problems such as the leakage of user data privacy and the destruction of integrity. Data custody causes the separation of user ownership and management rights and brings potential security risks of data theft and destruction. Among them, for the integrity of the data uploaded by the terminal, the current protection mechanism mostly verifies the identity of the visitor or encrypts the data, but the role of verification is mostly assumed by the server, and it is impossible to avoid the collusion of edge servers with malicious intruders. In this paper, a distributed virtual machine agent (VMA) is designed and implemented, an edge cloud data integrity monitoring framework is built, and the verification protocol based on blockchain is proposed, which achieves trusted verification without relying on a trusted third party. Also, a prototype system of edge cloud data integrity protection based on blockchain is constructed to prevent data corruption. The results of security proof and experimental verification show that the mechanism based on blockchain technology can defend against three attacks of cloud service providers, has superior computation, and reduces the storage costs to protect the integrity of user data.
Optimal Recloser Placement in Distribution System Considering Maneuver Points, Practical Limitations, and Recloser Malfunction
Authors: Ghorbani-Juybari Mohammad Zaher , Gholizade-Narm Hossein , Damchi Yaser
Published: April 2022

Improving reliability is one of the most critical problems in power distribution networks. Optimal placement of automatic switches improves system reliability. Practical constraints such as maneuver points and the capacity of neighboring feeders are often overlooked. Reliability indices may also be improved by optimizing maneuver point locations considering the capacities of neighboring feeders. In this paper, a new perspective on the problem of recloser placement in the presence of switch disconnectors (sectionneurs) with the ability to disconnect under load is proposed. The limitations of transmission power capacity at maneuver points are also considered in the proposed method. In addition, by proposing a Markov model, the possibility of malfunction of reclosers is considered. The proposed method is applied to two case studies including Roy Billinton Test System (RBTS) and the real distribution network in Mazandaran, Iran. Real system data are collected during the years 2016–2021. The problem is solved for various scenarios. In the case of 12 fully reliable reclosers, taking into account the optimal maneuver points and without any capacity limitations, compared to the allocation of maneuver points at the endpoints of the feeders show a %4.37 increase in the reliability of the real system. Even by considering practical capacity limitations in the maneuver points, this improvement is %3.47. Also, the results show a %6.684 decrease in the system reliability by considering malfunction in the case of 12 reclosers. This underscores the importance of taking into account the reclosers malfunctions in optimal switch placement for better decision making in practice.
Research and Implementation of Colour Optimal Matching Model for Art Design Based on Bayesian Decision-Making
Authors: Zhai Yu
Published: April 2022

This paper presents an in-depth study and analysis of the colour optimal matching model in art design through the method of Bayesian decision-making and the colour optimal matching model designed and applied to practice. Although Bayesian conditional theory constructs a representation theorem for causal decision theory, eliminating the formal differences between evidence decision theory and causal decision theory and reflecting their common intrinsic form. However, it still does not resolve the conflict between causal and evidential decision theories, but only translates it into a different interpretation of state parsing, and the choice of interpretation still comes from people’s different intuitive understanding of rationality. To address the problem that the colour information of the target image in the traditional recolouring method easily interferes with the recolouring process and affects the colour effect of the resulting image, a new method of recolouring based on the centralization constraint is proposed in the paper. A new method of colour transfer based on random walk image segmentation is proposed. First, an improved random walk image segmentation method is introduced to segment the reference image and the content image to obtain a more reasonable segmentation region, which can enhance the hierarchy of the resulting image. Second, the proposed colour transfer strategy performs feature matching in the corresponding region to achieve colour transfer. Finally, the structure-preserving filter is introduced to further optimize the resulting image to effectively improve the visual effect of the resulting image. Extensive experimental results show that the proposed method can achieve significantly better-quality results than the colour clustering-based colour transfer method. The experimental analysis shows that the newly designed comprehensive objective evaluation index of colour transfer in the paper can effectively solve the problem of the one-sidedness of a single evaluation index and can achieve highly consistent evaluation results with subjective evaluation.
Application Analysis of Emotional Learning Model Based on Improved Text in Campus Review and Student Public Opinion Management
Authors: Weng Zhaofeng
Published: April 2022

In an era of rapid mobile Internet development, students are increasingly expressing their views on specific events through campus comments. In the Web 2.0 era, the concept of public media participation is widely used by students, and it is important to effectively analyze online campus public opinion comments and present the findings in a rationalized form for the management of campus public opinion. In the new era of education governance modernization, the level of public opinion management in universities has become a key indicator to improve the standard of education management in higher education institutions; therefore, this paper focuses on proposing an innovative deep learning-based research method for topic management of university public opinion. Firstly, through the improved LDA module with sentiment discrimination learning capability, the sentiment of the main arguments in the campus commentary is extracted, and then the statistical sentiment intensity of the in-depth learning module is used to analyze the sentiment intensity of the thematic arguments of different events in time series, so as to achieve the long-term tracking of the trend of the sentiment intensity of the whole event.
Comparative Study on Medicinal Natures (qi) of Black Ginseng, Red Ginseng, and Ginseng Leaves Based on Typical Deficiency-Heat Syndrome Rat Model
Authors: Wan Mei-Yu , Liu Lin-Lin , Dou De-Qiang
Published: April 2022

To elucidate the medicinal nature of black ginseng (BG) by comparison of the effects of four Chinese herbs with different medicinal natures on the deficiency-heat syndrome rat model which was established by intragastric administration of traditional Chinese drugs with hot nature, the appearance indexes, biochemical indexes, and pathological sections of thyroid and stomach were examined. In addition, the seven short-chain fatty acids (SCFAs) in rat feces were also determined by headspace gas chromatography-mass spectrometry to reveal the action mechanism of the drugs with different natures. Results indicated that all the 4 drugs could exhibit similar actions in regulating the biochemical indexes of triiodothyronine (T3), thyroxine (T4), thyrotropin-releasing hormone (TRH), thyroid-stimulating hormone (TSH), and corticosterone (CORT) representing the hypothalamus-pituitary-thyroid (HPT) and hypothalamus-pituitary-adrenal (HPA) axes of the animal. However, cold-natured cortex phellodendri (HB) and ginseng leaves (GLs) showed stronger downregulation of the AChE activity of the nervous system. Red ginseng (RG) and BG tested exhibited stronger upregulation of the liver Na+-K+-ATPase activity. Principal component analysis (PCA) showed that GLs are similar to those of HB which belongs to the cold-nature drug, whereas BG showed closer to RG which attributes to a warm-nature drug. Thus, BG could be ascribed to a warm-nature drug. Further research disclosed that RG and BG mainly regulated the acetic acid and GL and HB primarily modulated the isovaleric acid and hexanoic acid in rat feces, which could be the features of drugs with warm or cold nature on the regulation of SCFAs in rats. It is for the first time that the medicinal nature of BG and its effect on the SCFAs were examined.
Research on Dance Movement Recognition Based on Multi-Source Information
Authors: Wang Yunchen
Published: April 2022

A huge number of scientific research institutions and scholars are now researching this topic in depth, with promising results. Meanwhile, research development in dance visual frequency movement detection is rather modest due to the high complexity of dance movement and the challenges of human body self-shielding in dance performance. Aiming at the problem of the combination of motion recognition and dance video, the feature extraction, representation, and motion recognition methods based on dance video are emphatically studied. This paper studies an effective feature extraction method according to the characteristics of dance movements. Firstly, each dance movement video in the data set is separated into equal sections, and the edge characteristics of all video pictures in each segment are gathered into one image, from which the direction gradient histogram features are extracted. Secondly, a group of directional gradient histogram feature vectors is used to represent the local appearance information and shape features of the video dance moves. In view of the existing problem of heterogeneous feature fusion, this paper chooses the multi-core learning method to fuse the three kinds of features for dance movement recognition. Finally, the effectiveness of the proposed dance movement detection algorithm is tested using the Dance DB data set from the University of Cyprus and the Folk Dance data set from my laboratory. Experimental results show that the proposed algorithm can maintain a certain recognition rate for relatively complex dance movements and can still ensure a certain accuracy when the background and target are easily confused. This also confirms the efficacy of the movement recognition system used in this paper for recognizing dance movements.
Theory and Application of Vessel Speed Dynamic Control considering Safety and Environmental Factors
Authors: Zhou Tianrui , Hu Qinyou , Hu Zhihui , Zhi Jiamao
Published: April 2022

The implementation of ship speed control is extremely important in the shipping industry. It is affected by various factors, such as water depth, obstacles, and environmental factors. Traditional speed control methods only consider geographical constraints, which is difficult to achieve the goal of safe navigation and maritime traffic efficiency simultaneously. Accordingly, a two-stage speed dynamic control model is proposed in this study. In the first stage, certain safety navigation factors, including obstacles, sea environment conditions, and limit of estimated time of arrival to destination port, are considered. In the second stage, the speed dynamic control model considering safety and environmental factors is established by combining multisource data and particle swarm optimisation algorithm. The model’s superiority and advantage are validated by experiments conducted on an ocean-going ship. The experimental results show that the proposed dynamic speed control model can reduce the ship’s fuel consumption and improve energy efficiency while ensuring the safety navigation. The study is anticipated to be used as a reference for speed dynamic control.
Privacy-Preserved In-Cabin Monitoring System for Autonomous Vehicles
Authors: Mishra Ashutosh , Cha Jaekwang , Kim Shiho
Published: April 2022

Fully autonomous vehicles (FAVs) lack monitoring inside the cabin. Therefore, an in-cabin monitoring system (IMS) is required for surveilling people causing irregular or abnormal situations. However, monitoring in the public domain allows disclosure of an individual’s face, which goes against privacy preservation. Furthermore, there is a contrary demand for privacy in the IMS of AVs. Therefore, an intelligent IMS must simultaneously satisfy the contrary requirements of personal privacy protection and person identification during abnormal situations. In this study, we proposed a privacy-preserved IMS, which can reidentify anonymized virtual individual faces in an abnormal situation. This IMS includes a step for extracting facial features, which is accomplished by the edge device (onboard unit) of the AV. This device anonymizes an individual’s facial identity before transmitting the video frames to a data server. We created different abnormal scenarios in the vehicle cabin. Further, we reidentified the involved person by using the anonymized virtual face and the reserved feature vectors extracted from the suspected individual. Overall, the proposed approach preserves personal privacy while maintaining security in surveillance systems, such as for in-cabin monitoring of FAVs.
Optimal Replenishment Policies and Trade Credit for Integrated Inventory Problems in Fuzzy Environment
Authors: Xu Weihua , Zhang Liren , Cui Jingjing
Published: April 2022

In this highly volatile, uncertain, complex, and ambiguous (VUCA) environment, a fuzzy inventory optimization problem is a hot topic that received the most attention from both academicians and practitioners. In this paper, the authors have studied the integrated inventory problems under trade credit in fuzzy environments, where the demand rate and deterioration rate are taken here as triangular fuzzy numbers. Accordingly, three types of fuzzy programming models as fuzzy expected cost minimization model, fuzzy α-cost minimization model, and credibility maximization model are built according to different management goals. Since the problem is shown to be NP-hard, this research focuses on proposing a hybrid intelligent algorithm by integrating fuzzy simulation, neural network, and genetic algorithm for solving these models. Then, some numerical examples are presented to illustrate the benefits of the models and evaluate the efficiency of the algorithms. The computational experiments show that the trade credit strategy has a positive impact on improving the supply chain’s performance and reducing its total cost. In addition, the maximum relative error of the objective values is less than 1%, which implies that the hybrid intelligent algorithm is robust to the parameter settings and effective in solving our models. Finally, the practical implications are discussed and useful managerial insights are given.
Influence of Fe2+ and Fe3+ on the Performance and Microbial Community Composition of a MFC Inoculated with Sulfate-Reducing Sludge and Acetate as Electron Donor
Authors: González-Paz José Roberto , del Carmen Monterrubio–Badillo María , Ordaz Alberto , García-Peña E. Inés , Guerrero-Barajas Claudia
Published: April 2022

A sulfidogenic sludge supplemented with acetate was evaluated in the anodic chamber of microbial fuel cells (MFCs) in the presence of sulfate (SO4-2)/Fe3+ and sulfate (SO4-2)/Fe2+ to investigate the MFC performance and the effect of the iron ions on the composition of the microbial community since sulfate and iron ions are frequently present in wastewater derived from several anthropogenic activities. The current densities were up to 0.025 mA/cm2 and 0.017 mA/cm2 for MFCs with Fe2+ and Fe3+, respectively. Accordingly, the redox activity was slightly higher in the presence of Fe2+ than Fe3+. In general, the metabolic activity of the MFC supplemented with Fe2+ was higher than the system with Fe3+ reaching a percentage of sulfate reduction (% SR), sulfide concentration (mg/L HS-), and removal of chemical oxygen demand (% COD removal) of

35.2
±
0.75

,

450.3
±
3.6

, and

50.05
±
0.24

for % SR, HS-, and % COD, respectively, whereas in the MFC with Fe3+, the percentages were of

30.1
±
1.076

,

220.6
±
2.0

, and

11.78
±
10.81

for % SR, HS-, and % COD, respectively. The microbial population determined in each system was also correlated to the metabolic activity. Rhodospirillales, Caulobacterales, and Burkholderiales were the most abundant orders of bacteria in the MFC with Fe3+, whereas with Fe2+, Rhodobacterales, Sphingomonadales, and Rhizobiales. Desulfohalobiaceae and Desulfovibrionaceae were identified in the presence of Fe2+. Unexpected interactions and combinations of microorganisms were observed in a relatively short culturing time, demonstrating the importance of characterizing the anode biofilm prior to shifts in iron ion concentrations on a long-term basis.
Exploration on Elderly Accessible Information Interaction Design Using Fuzzy Control
Authors: Peng Hui
Published: April 2022

With the increasing elderly population, the information intellectualization demand also rises substantially. At the same time, intelligent information interaction system- (IIIS-) controlled wheelchair’s automatic obstacle avoidance techniques have become extremely important in an intelligent social context. Therefore, this paper proposes an IIIS to help disabled groups and some older people enjoy the barrier-free information design and improve product information manipulation experience. Firstly, the functional requirements of the IIIS are analyzed, and the overall scheme of the IIIS is designed. Then, the control mode of IIIS is determined. Secondly, following research on the obstacle avoidance algorithm (OAA) based on fuzzy control, the obstacle avoidance control strategy is formulated for the elderly accessible wheelchair IIIS. Finally, experiments are designed to verify the control performance and simulate the automatic OAA of the designed IIIS. The experimental results indicate that the touch screen control system (TSCS) of mobile phone (MPHN) is more sensitive for the elderly accessible wheelchair control information system. By comparison, the joystick control system (JCS) is more straightforward to manipulate than the touch screen. The practicability of these two control methods is very strong. These two independent control methods meet the control performance requirements and improve the automatic obstacle avoidance performance of IIIS. The proposed IIIS based on TSCS and JSC can respond to input commands in real time, help the IIIS avoid obstacles, and acquire images, among other functions. Therefore, the proposed intelligent wheelchair design improves the interactive performance of the intelligent operating system, facilitates the travel of the elderly and the disabled, and has good practical value.
An Unusual Presentation of Extracavitary Primary Effusion Lymphoma: Internal Jugular Vein Occlusion, Intractable Symptoms of Intracranial Hypertension, and Prolonged Remission after Highly Active Antiretroviral Therapy
Authors: Ghosh Anindita , Zvavanjanja Rodrick Chitaurirwa , Baalwa Joshua
Published: April 2022

Primary involvement of the skeletal muscle by extracavitary primary effusion lymphoma (PEL) is an extremely rare phenomenon. We report an unusual case of PEL involving the jugulodigastric skeletal muscle without serous cavity involvement which resulted in complete occlusion of the ipsilateral proximal internal jugular vein, causing the patient to present with clinical features of intractable throbbing headache, photophobia, acute confusion state, sporadic syncopal attacks, and dyspnea without obvious palpable neck swellings. This led to an initial clinical suspicion, dedicated diagnostic workup, and empiric therapy for acute meningoencephalitis, severe atypical pneumonia, and acute pulmonary embolism. Owing to his refractory symptoms, exploratory CT imaging eventually revealed a heterogenous jugulodigastric mass, and finally, a pathologic diagnosis of extracavitary PEL was identified as the cause of his intracranial hypertension. The patient remains in remission 22 months after commencing a dolutegravir-based HAART regimen without any chemotherapeutic intervention.
Using Improved BPNN to Predict the Time of Social Poverty Reduction under the Background of Internet
Authors: Tao Ying , Xie Jiazhi , Chen Yan
Published: April 2022

The world has been overturned by the power of the Internet, and all walks of life are constantly changing with the trend of the times. Therefore, with the help of the effective technology and means of the Internet, people can start from a more complex perspective. Analyze the social environment and economic situation, and focus on poverty. By actively monitoring the number of poor people in society, we can grasp the actual situation of poverty. Starting from the depths of the problem, aiming at the characteristics of poor groups, this paper excavates the scale data of poor people. Finally, the improved BP neural network model is used to predict the time when the society gets rid of poverty and reduces poverty. The results show the following: (1) After

P

value judgment and

T

value test, the experiment determined 12 indicators and proportion of poverty. The most prominent indicators of contribution rate are T2, T4, and T5. The most significant changes in

T

test results were T8 and T12. (2) The reformed BP network has less iteration times, shorter training time, and higher prediction accuracy. The network converges 30 times, and the fitting accuracy reaches the best, and the ideal state is 0.000936578. Training the poverty alleviation data from 2016 to 2020 with the model, the final poverty alleviation work has achieved remarkable results. (3) According to the hidden layer nodes of neural network structure, the final number of hidden layer nodes is determined to be 11. (4) Comparing the absolute error and APE error of the prediction results. The predicted value is very close to the actual value, which can correctly reflect the mapping relationship of poverty reduction and the result is reliable. (5) Compare the predicted values of BPNN model before and after modification; it is found that the new BPNN model is more accurate in prediction. The predicted population is close to the actual population, and the error level curve approaches 0%. After empirical test, the improved BPNN model is accurate and effective. Through the poverty reduction prediction of the model, people can observe the actual situation more intuitively. By evaluating the effectiveness of social poverty alleviation, we can optimize the next poverty alleviation strategy and adjust the strategic policy.
Successful Treatment of Pantoea agglomerans Bacteremia Using Oral Antibiotics
Authors: Penner Megan , Romans Brittany , Tah Lauren , Argubright Brianna , Strohmeyer Matthew
Published: April 2022

A 30-year-old female with a medical history of gastrointestinal reflux and intravenous methamphetamine use was admitted to the hospital with complaints of fever and chills. Pantoae agglomerans was isolated in one out of two blood cultures. Although information was limited about the duration and efficacy of oral antibiotics to treat this type of infection, the patient recovered with oral antibiotic treatment following a short course of intravenous antibiotics.
Eating Disorders: An Analysis of Self-Induced Vomiting, Binge Eating, and Oral Hygiene Behavior
Authors: Johansson Ann-Katrin , Mjanger Øvretvedt Tonje , Reinholtsen Karen Knudsen , Johansson Anders
Published: April 2022

Background. Self-induced vomiting (SIV) is often present in patients with eating disorders (ED) and potentially damaging for oral health. Related behaviors, such as binge eating and oral hygiene habits, may equally increase the risk for dental damage. This study aimed to investigate behaviors and habits in patients with ED and SIV in relation to oral health. Methods. All patients enlisting for treatment in an ED clinic for 1 year were offered to take part in the study. Fifty-four of 65 patients were accepted to participate, and a questionnaire included questions on dietary and oral hygiene habits was included. A subgroup consisting of only those 17 ED patients who reported SIV during the previous six months comprised the sample for this study and received additional questions related to other compensatory behaviors and oral hygiene habits in relation to oral health. Results. Binge eating before SIV was common (14/17 patients). Time point for SIV after binge eating and the procedures performed after vomiting varied. Tooth brushing after vomiting was common (7/17). Food and drinks during binge eating included mainly items rich in calories (sugar/fat) or acid. All 17 patients believed that vomiting could damage their teeth, but only one of them had informed the dentist about having an ED. A number of oral symptoms were reported. Ten patients considered their oral health to be good/fairly good, while the remaining seven patients reported their oral health as not so good/bad/very bad. Information on how ED could affect their teeth was commonly received from the media. Conclusions. The dental team should be made aware of the likely detrimental effects of binge eating and vomiting on oral health in patients with eating disorders. The team should also be aware of the cyclical nature of the disease and the similarities and diversities that exist within this group of ED patients. Since ED patients hide their disease from the dental team, this stresses the importance of open and trustful communication between patients and health workers. An organized collaboration between ED clinics and dental professionals is suggested as well as a development of avenues for information about ED and oral health.
Research on Goaf Retaining Technology of Double‐Layer “Combined” Filling Body in High Gas Mine
Authors: Huang Ning , Zhang Xiao-Wu , Chen Jiang-Hua , Liu Yang , Zhou Hao , Wen Jia-Jun
Published: April 2022

In high gas mines, the safety accidents of coal seam spontaneous combustion and gas leakage in goaf caused by fresh air flow entering goaf due to loose roof connection of filling body beside goaf are easy to occur. In order to solve such problems, this paper proposes the gob‐retaining technology of the “combined” filling body at the side of the roadway. The upper layer of the “combined” filling body is constructed with high‐water material as the “connecting top layer” so that the deformation form of the filling body is consistent with the broken characteristics of the roof, and the lower layer is constructed with concrete as the “supporting layer” to achieve sufficient support strength. The “combined” filling body can not only ensure the stability of roadway surrounding rock but also a timely closed goaf. The gob‐retaining technology of the “combined” filling body was applied in the field of coal mine 2603 working face. Based on the engineering background, the mechanical model was established to calculate cutting resistance of the filling body, and Flac3D software was utilized to optimum parameters of the “combined” filling body. According to the field monitoring results, the “combined” filling wall at the side of the roadway effectively controls the stability of surrounding rock and the gas concentration in the roadway.
Security Check Mutual Recognition between High-Speed Railway and Urban Rail Transit Based on Variable Fuzzy Set Theory
Authors: Meng Yimei , Liu Di , Rong Wenyu , Wu Meng
Published: April 2022

At present, the secondary security check at the transfer station between high-speed railway and urban rail transit brings inconvenience to passengers. The aim of this study is to develop a methodology for evaluating the safety level of high-speed railway and subway stations by using variable fuzzy set theory, so as to determine the conditions for security check mutual recognition. In this research, considering transportation capacity, personnel and equipment, and environment and management, three aspects are considered to construct an evaluation index system for mutual recognition of high-speed railway and urban rail transit security check. Then, the variable fuzzy safety evaluation model has been established for high-speed railway and subway stations and their transport modes to analyse the feasibility of security check mutual recognition. Using the variable fuzzy set theory and the important consistency sorting theorem, the decision approach proposed in this study was tested for the high-speed rail station A and subway station B. As a result of using the methodology, the safety evaluation result of high-speed railway station A is 1.60, and the result of subway station B is 2.26. It is concluded that the safety of high-speed rail station A is higher than that of subway station B, and it is possible to enter the metro station without security check in one direction. The approach presented in this research can be used for judging the conditions for security check mutual recognition at interchange stations between high-speed railway and urban rail transit, which provides reference for the implementation of security check mutual recognition.
A Novel Enhanced Supplier Selection Method Used for Handling Hesitant Fuzzy Linguistic Information
Authors: Chang Kuei-Hu
Published: April 2022

Today’s competitive businesses have been shifted from the company-to-company competition model to the supply chain-to-supply chain competition model. The selection of the most suitable supplier determines customer satisfaction and enterprise competitive advantage. However, the typical supplier selection approaches did not consider the ordered weights between the evaluations of attribute values, resulting in distorted assessment result. Moreover, experts often uncertainly decide the exact value of the evaluation attribute’s rating, have linguistic term sets equivocation, or give ambiguous information, which increase the difficulty of the supplier evaluation process. To deal with the aforementioned problem, we have proposed a novel enhanced supplier selection method for handling hesitant fuzzy linguistic information. To verify the approach, by taking network security system assessment as an example to explain the use of the proposed novel enhanced supplier selection method, the calculation result is compared with the result of the arithmetic average and symbolic methods. The results show that the proposed novel enhanced supplier selection method is more accurate and reasonable and can better reflect real situations.
Research on the Value Orientation of ELT Integration Based on Data Mining under the Background of Megadata
Authors: Wang Bing
Published: April 2022

The research on the value orientation of ELT integration reflects the significance in the implementation and teaching of English courses. Based on the continuous development of metadata technology, this paper studies the value orientation of ELT integration based on DM. This paper interprets the characteristics and applications of megadata and analyzes the multiple challenges faced by ELT in the era of megadata. It also explores the value orientation of teaching integration in the era of megadata-data-driven teaching, which promotes scientific teaching decision-making, refined management, personalized learning, and teaching informationization. Depending on discussing the value of the English curriculum, this paper probes into the value orientation of English curriculum objectives, the value orientation of English curriculum content, the value orientation of students to the English curriculum, and the value orientation of ELT integration. This paper investigates and analyzes the realization basis of the integrative value orientation of ELT. Making full use of teaching resources may benefit not only the deep integration of instructional materials but also the scientific application of current scientific and technology methods to support ELT’s integrated value orientation. The essential significance of the research is to improve students’ comprehensive English literacy and comprehensively promote the realization of ELT value.
Measurement Method of Civil Engineering Complexity Structure Based on Logical Equivalent Model
Authors: Li Qian , Gong Yan , Zang Jubao , Zhang Yan , Sun Yiting
Published: April 2022

Civil engineering structures are generally large in volume and scale, especially the most commonly used reinforced concrete structures. There are many defects such as micro-cracks and air bubbles inside, and the concrete is easy to crack under tension. The short-gauge length (point) sensor will be affected by local damage and cannot accurately reflect the overall working state of the structure. The long-gauge strain sensing technology can reflect the average strain of the area to be measured when there are local cracks in the structure to be measured and can also be fully deployed on the structure to form a distributed sensor network to comprehensively monitor the entire structure. Therefore, long-gauge length sensing is more suitable for civil engineering structure monitoring. This study mainly focuses on fuzzy systems and introduces a generalized probability decision process model to describe the behavior of such fuzzy systems. The maximum-likelihood scheduling and the minimum-likelihood scheduling are discussed. The corresponding model checking methods for probabilistic linear time properties are final reachability, always reachability, persistent reachability, and repeated reachability, and the advantage of this method is that the verification process of their model checking is transformed into a fuzzy matrix. The model checking problems of generalized likelihood-regular security properties and generalized likelihood-correcting-regular properties are studied, respectively, and their model checking problems are transformed into generalized likelihood linear time properties that are always possible. The failure state of the beam and the displacement of the beam bottom are obtained through the data of each unit sensor. The experimental results show that the sensor can effectively capture the cracks. The measured data of the sensor are relatively accurate. The dynamic test performance of the sensor is studied by the damage monitoring test of the vertical cantilever flat beam. After spectrum analysis, the sensor can accurately obtain the participation coefficient of each mode shape, the recognition result is close to that of the FBG sensor, the frequency recognition error does not exceed 0.2%, and the long-gauge length strain mode of the structure can also be accurately recognized. At the same time, the long-gauge strain mode obtained by the sensor monitoring can accurately locate the damage and can quantitatively identify the damage more accurately.
Kinetics and Equilibrium Studies of the Adsorption of Copper(II) Ions from Industrial Wastewater Using Activated Carbons Derived from Sugarcane Bagasse
Authors: Amoo Temiloluwa E. , Amoo Kehinde O. , Adeeyo Opeyemi A. , Ogidi Clement O.
Published: April 2022

The monocomponent adsorption process of Cu(II) ions in synthesized industrial wastewater were investigated using activated carbons (BACs) derived from sugarcane bagasse as the precursor. Batch adsorption studies were done by treating the precursor with H3PO4 (BAC-P) and ZnCl2 (BAC-Zn) in order to observe the effects of experimental variables such as contact time, pH of the solution, and adsorbent dose. The Langmuir isotherm model excellently described the adsorption data for both the derived BACs, indicating monolayer coverage on the BACs with the determination coefficients close to the value of one. Furthermore, the maximum adsorption capacities of 589 and 225

m
g
 

g

−
1

at 30°C were obtained for BAC-P and BAC-Zn adsorbents, respectively. The modeling of kinetic data of Cu(II) ions adsorption onto BAC-P and BAC-Zn adsorbents illustrated that the Elovich kinetic model fitted well. Here, the adsorption process was film-diffusion controlling, while being principally governed by external mass transport where the slowest step is the diffusion of the particles through the film layer. The mechanism of the adsorption process was proposed taking into cognizance of the ion exchange and surface complexation on active sites between the negatively charged surface of the BACs and the positively charged Cu(II) ions. The BACs were characterized using analytical methods such as SEM, FTIR, EDX, XRD, BET surface area, and zeta potential measurements. Both BACs mainly composed of mesopores and bonds of O-H, C-O, C=O, and C-O-C. The BET surface area of BAC-P and BAC-Zn was 427.5 and 282 m2/g before adsorption, and their isoelectric point (pHIEP) 3.70 and 5.26, respectively.
Influence of Soil-Structure Interaction on the Seismic Response of a Continuous Bridge with Friction Pendulum System
Authors: Li Bing , Fu Chong , Liu Guolong , Wei Wei , Duan Junfa , Wang Bin
Published: April 2022

A three-dimensional finite element analysis was carried out for the influence of soil-structure interaction (SSI) on the seismic response of an isolated continuous bridge with a friction pendulum system (FPS). SSI was modelled using the soil resistance vs deflection nonlinear springs (following p-y curves). The influence of SSI on the dynamic behaviour and the seismic response of isolated bridges with different friction coefficients of FPS were investigated using six measured ground motions. Results show that the effect of SSI is limited on the isolation period of the bridge, but significant on the response amplitude of the bridge structures, and particularly on the response amplitude at the pier top and bottom. The displacement and acceleration at the pier top are underestimated, while the shear force and bending moment at the pier bottom are overestimated if the SSI effects are ignored, which suggests that SSI should be considered in the seismic analyses of continuous bridges.
Sports Energy Consumption Evaluation Based on Improved Adaptive Weighted Data Fusion Energy-Saving Algorithm
Authors: Han Ling , Jiang Yanping
Published: April 2022

The purpose of this study is to use a portable cardiopulmonary function tester to measure the effect of sports smart bracelets and smartphone application software in monitoring the energy consumption of different types of physical activities, and to select several popular sports software in daily life for research. The tester is an accurate reference value. It compares the energy consumption monitoring effect and error percentage of several software in periodic exercise and discusses the relationship between the measured value and reference value of several software, so as to provide a scientific basis for exercise for the majority of athletes. The selection of software provides a reference and chooses a more suitable movement method according to its own actual situation to achieve the most objective and effective periodic movement. In this study, the CMA (constant modulus algorithm) is introduced into the decision feedback equalizer, and the CMA-DFE (decision feedback equalization) algorithm is formed. Since the CMA algorithm adopts a fixed step size, there is no way to solve the contradiction between the convergence speed and the steady-state residual error, so a constant modulus algorithm with a variable step size is proposed. The algorithm increases the step size in its initial stage to increase the convergence speed and reduces the step size after the algorithm converges to reduce the steady-state residual error. This study replaces the traditional CMA algorithm with the constant modulus algorithm with a variable step size. In this section, two basic algorithms for calculating the adaptive weighting factor are first proposed. Due to its limitations, a modified adaptive weighting factor is proposed. During normal running, the Huawei Band relatively accurately monitors the number of steps and energy consumption, and the motion software of the motion software relatively accurately monitors the distance. The monitoring of distance and energy consumption is relatively accurate in the Codoon sports software; in jogging, the Huawei Band is relatively accurate in monitoring the number of steps; the LeDong sports software is relatively accurate in monitoring distance; and the Codoon sports software in the energy consumption is relatively accurate.