bluuebunny/crossref_metadata_2025 huggingface dataset:
Cascade exciton model analysis of energetic pion-induced fission of heavy nuclei: Target mass and projectile energy dependence
Authors: Rana Mukhtar Ahmed , Ahmed Awais , Siddique Farzana , Ahmed Junaid
Published: August 2021

A data bank of negative and positive (80–1665[Formula: see text]MeV) pion-induced experimental fission cross-sections of heavy nuclei from 119Sn to 238U is compiled using present results and published data from the literature. Corresponding calculations of fission cross-sections, using the cascade exciton model (CEM) are also included in the compilation. Fission cross-sections compiled in the data bank are examined critically. Mass and energy dependences of fission cross-sections are analyzed. Fission cross-sections of 238U targets are the highest and scale down approximately, for other targets studied, with fissility, [Formula: see text]. In the fissility expression, [Formula: see text] and [Formula: see text] are atomic and mass numbers of the target while [Formula: see text] refer to positive and negative pion projectiles. The presented data bank is of interest for students and researchers involved in the investigation of energetic light particle-induced fission of heavy nuclei. Nuclear fission of heavy nuclei has been classified into three regimes. Phenomenological discussion of the fission process is also given.
Obesity and its effects on the esophageal mucosal barrier
Authors: Paris Shere , Ekeanyanwu Rebecca , Jiang Yuwei , Davis Daniel , Spechler Stuart Jon , Souza Rhonda F.
Published: August 2021

Obesity is associated with gastroesophageal reflux disease (GERD) and its complications including reflux esophagitis, Barrett’s esophagus, and esophageal adenocarcinoma. Traditionally, these associations have been attributed to the mechanical effect of abdominal fat in increasing intra-abdominal pressure, thereby promoting gastroesophageal reflux and causing disruption of antireflux mechanisms at the esophagogastric junction. However, recent studies suggest that visceral adipose tissue (VAT) produces numerous cytokines that can cause esophageal inflammation and impair esophageal mucosal barrier integrity through reflux-independent mechanisms that render the esophageal mucosa especially susceptible to GERD-induced injury. In this report, we review mechanisms of esophageal mucosal defense, the genesis and remodeling of visceral adipose tissue during obesity, and the potential role of substances produced by VAT, especially the VAT that encircles the esophagogastric junction, in the impairment of esophageal mucosal barrier integrity that leads to the development of GERD complications.
[Retracted] Prediction Model of Hot Metal Silicon Content Based on Improved GA‐BPNN
Authors: Cui Zeqian , Han Yang , Lu Chaomeng , Wu Yafeng , Chu Mansheng
Published: August 2021

The inconsistency of the detection period of blast furnace data and the large time delay of key parameters make the prediction of the hot metal silicon content face huge challenges. Aiming at the problem that the hot metal silicon content is not consistent with the detection period of time series of multiple control parameters, the cubic spline interpolation fitting model was used to realize the data integration of multiple detection periods. The large time delay of the blast furnace iron making process was analyzed. Moreover, Spearman analysis was combined with the weighted moving average method to optimize the data set of silicon content prediction. Aiming at the problem of low prediction accuracy of the ordinary neural network model, genetic algorithm was used to optimize parameters on the BP neural network model to improve the convergence speed of the model to achieve global optimization. Combined with the autocorrelation analysis of the hot metal silicon content, a modified model for the prediction of hot metal silicon content based on error analysis was proposed to further improve the accuracy of the prediction. The model comprehensively considers problems such as data detection inconsistency, large time delay, and inaccuracy of prediction results. Its average absolute error is 0.05009, which can be used in actual production.
Chemical Composition, Pharmacological, and Toxicological Effects of Betel Nut
Authors: Chen Xiaoxiao , He Yongzhi , Deng Yanru
Published: August 2021

Betel nut, the fruit of Areca catechu L, has a long medical history in Southeast Asia. It is native to Malaysia and is cultivated and processed extensively in subtropical regions, such as South China and India. Betel nut almost appears as a “snack” in various occasions in most parts of China. Clinically, betel nut can play a certain pharmacology role and was used in malaria, ascariasis, arthritis, enterozoic abdominalgia, stagnation of food, diarrhea, edema, and beriberi. The nervous excitement of betel nut chewing has made it gradually become popular. However, chewing betel nut can induce oral submucosal fibrosis (OSF) and oral cancer (OC). At the same time, long-term chewing of betel nut also causes inhaled asthma, sperm reducing, betel quid dependence (BQD), and uterine and esophageal cancers. The main components of processed betel nut are the goal of this review. This study will mainly start from the pharmacological activity and toxicology study of betel nut in recent years, aiming to seek its advantages and disadvantages. In the meantime, this study will analyze and emphasize that betel nut and arecoline are the high-risk factors for oral cancer, which should arouse attention and vigilance of the public.
Refinements of Jensen’s Inequality via Majorization Results with Applications in the Information Theory
Authors: Deng Yongping , Ullah Hidayat , Khan Muhammad Adil , Iqbal Sajid , Wu Shanhe
Published: August 2021

In this study, we present some new refinements of the Jensen inequality with the help of majorization results. We use the concept of convexity along with the theory of majorization and obtain refinements of the Jensen inequality. Moreover, as consequences of the refined Jensen inequality, we derive some bounds for power means and quasiarithmetic means. Furthermore, as applications of the refined Jensen inequality, we give some bounds for divergences, Shannon entropy, and various distances associated with probability distributions.
Probiotics Alleviated Nonalcoholic Fatty Liver Disease in High-Fat Diet-Fed Rats via Gut Microbiota/FXR/FGF15 Signaling Pathway
Authors: Luo Minmin , Yan Junbin , Wu Liyan , Wu Jinting , Chen Zheng , Jiang Jianping , Chen Zhiyun , He Beihui
Published: August 2021

Gut microbiota (GM) dysbiosis and bile acid (BA) metabolism disorder play an important role in the pathogenesis of nonalcoholic fatty liver disease (NAFLD). Probiotics had a beneficial effect on NAFLD, but further study is needed to explore probiotics as a potential therapeutic agent to NAFLD. The aim of this study was to investigate the regulatory effect of probiotics on gut microbiota in NAFLD rats and to explore the possible mechanism of probiotics regulating the bile acid receptor farnesoid X receptor/growth factor 15 (FXR/FGF15) signaling pathway in rats. We established a rat model of NAFLD fed with a high-fat diet (HFD) for 14 weeks, which was given different interventions (312 mg/kg/day probiotics or 10 mg/kg/day atorvastatin) from the 7th week. Serum lipids and total bile acids (TBA) were biochemically determined; hepatic steatosis and lipid accumulation were evaluated with HE staining. The expression levels of FXR, FGF15 mRNA, and protein in rat liver were detected. 16S rDNA was used to detect the changes of gut microbiota in rats. Compared with the HFD group, probiotics and atorvastatin significantly reduced serum lipids and TBA levels. And probiotics increased dramatically the expression of FXR, FGF15 mRNA, and protein in the liver. But there were no significant changes in the atorvastatin group. Probiotics and atorvastatin can upregulate the diversity of gut microbiota and downregulate the abundance of pathogenic bacteria in NAFLD model rats. In summary, probiotics alleviated NAFLD in HFD rats via the gut microbiota/FXR/FGF15 signaling pathway.
Computational Model of Outer Circle and Inner Ellipse Shield Tunnel Lining Structure
Authors: Gu Shuancheng , Sun Guanlin , Su Peili
Published: August 2021

Subway tunnels are mostly located in strata with an uneven pressure. This uneven pressure is usually manifested by lateral pressure coefficients less than 1. To adapt to the unevenness of the stratum load, in this study, we propose a new shield tunnel lining structure—outer circle and inner ellipse shield tunnel lining structure—whose outer contour remains circular and the inner contour shape of the structure is designed according to the load conditions. We used the stiffness step discounting method to obtain the calculation coefficients used in the force method formulas and established the calculation model of the outer circle and inner ellipse shield tunnel linings. The force method was then used to determine the force distribution characteristics of the outer circle and inner ellipse shield tunnel lining structure. During the verification, it was sufficient to analyze whether the waist structure rigidity met the safety conditions. This simplifies the design elements. The internal space area of our proposed design is expanded by 0.86 m2 compared to the internal space area of the equal stiffness shield tunnel lining design.
Mixing Ratios and Cementing Mechanism of Similar Silty Mudstone Materials for Model Tests
Authors: Fu Hong-Yuan , Qi Shuang-Xing , Shi Zhen-Ning , Zeng Ling
Published: August 2021

The similarity model test is one of the important means to study the engineering properties of soft rock. This study aims to develop similar materials for silty mudstone, which has characteristics of low strength and water expansion, based on traditional materials including gypsum, barite powder, clay minerals, and distilled water. The orthogonal design method was used to determine the mixing ratios of the similar materials. The density, uniaxial compressive strength, tensile strength, elastic modulus, and Poisson’s ratio were selected as control indicators of the similar materials. The results show that the water content is the dominant factor for the density, tensile strength, elastic modulus, and Poisson’s ratio of the similar materials of silty mudstone, while the gypsum content is the dominant factor for the uniaxial compressive strength. The physical and mechanical properties of the similar material samples with water content of 19%, barite powder ratio of 32%, and gypsum mass of 250 g show good similarity to those of the raw silty mudstone. The water absorption and expansibility of similar materials with clay mineral ratio of 12% are consistent with those of the raw silty mudstone. The scanning electron microscopy (SEM) observation indicates that the similar material with optimal mixing ratios exhibits a similar microstructure to that of silty mudstone.
QCM Analysis for Two‐Step Adsorption of Albumin and Fibronectin on Zirconia Surface
Authors: Hirota Masatsugu , Hayakawa Tohru
Published: August 2021

The adsorption of proteins on the dental implant surface is the first step in the key role of osseointegration. Many types of proteins exist in the living body and compete for adsorption on the material surface. As an implant material, partially stabilized zirconia (ZrO2) is currently an attractive alternative to titanium to overcome the shortcomings of titanium implants. In this study, we investigated the two‐step adsorption of fibronectin (Fn) and bovine serum albumin (Alb) on the ZrO2 surface using a 27‐MHz quartz crystal microbalance (QCM) method. A ZrO2 sensor was employed for the QCM measurements. Two‐step adsorptions were performed as follows. (1) Fn‐Alb series: first, the Fn solution was injected into the phosphate‐buffered saline (PBS) solution, followed by the Alb solution. (2) Alb‐Fn series: first, the Alb solution was injected, followed by the Fn solution. The decrease in frequency was monitored for 60 minutes after each protein injection. The adsorbed amounts of Fn or Alb were calculated by observing the decrease in frequency, and the apparent reaction rate, kobs, was obtained through the curve fitting of frequency shift against the adsorption time. No significant difference was observed in the adsorbed amounts of Fn and Alb between the Fn‐Alb and Alb‐Fn series (P > 0.05). The kobs, rate of protein adsorption, in the second step was significantly slower than that in the first step for both Fn and Alb adsorption (P < 0.05). There was no clear correlation between the amount of protein adsorbed on the ZrO2 sensor and the surface topography. It was concluded that the amount of protein adsorbed on the ZrO2 surface was not influenced by the two‐step adsorption series, but the adsorption rate of proteins in the second step was affected by the first‐step protein adsorption.
Quality of Life and Related Paraclinical Factors in Iranian Patients with Transfusion-Dependent Thalassemia
Authors: Khodashenas Mehran , Mardi Parham , Taherzadeh-Ghahfarokhi Nooshin , Tavakoli-Far Bahareh , Jamee Mahnaz , Ghodrati Niloofar
Published: August 2021

Background. Thalassemia is one of the most common genetic hematologic disorders in the world. Despite outstanding achievements in prenatal diagnosis and a decrease in the number of patients, thalassemia is still a significant issue in most parts of the world, especially in the Mediterranean countries. Understanding the factors associated with this condition is crucial to help clinicians and policymakers provides social and medical support for patients to facilitate their lives. This study aims to appraise the quality of life (QoL) and its related paraclinical factors in Iranian transfusion-dependent thalassemia patients. Methods and Materials. This study is a cross-sectional study performed in the thalassemia clinic of Imam-Ali Hospital, Karaj, Iran. The demographic, clinical, and laboratory data of 100 patients with transfusion-dependent thalassemia were recorded. The patients’ QoL was measured by the World Health Organization Quality of Life Instruments Brief (WHOQOL-BREF) version questionnaire. The results were analyzed using SPSS software. Results. This study demonstrated that all four features of life are influenced in transfusion-dependent thalassemia patients. Also, higher educational status and lower serum ferritin levels were associated with better scores in assessing the QoL. On the other hand, an elevated level of AST (aspartate transaminase), ALT (alanine transaminase), and FBS (fasting blood sugar) are associated with lower scores. Conclusion. All features of QoL are correlated to the patients’ laboratory findings. Our data suggest that managing patients’ laboratory indices is attributed to their higher QoL. We also suggest regular screening of patients’ QoL to manage disease complications more efficiently.
[Retracted] Optimization and Simulation of Manuscript Management System Based on Fuzzy Genetic Neural Network
Authors: Sun Yongtai
Published: August 2021

Manuscript management plays an important role in the whole periodical industry. Journals and magazine society receive different types of contribution documents from all over the world. Many submission files are mostly transmitted by e‐mail, but there are some hidden disadvantages in e‐mail. In view of this situation, this paper studies the establishment and optimization simulation of manuscript management system based on fuzzy genetic neural network (FGNN). On the basis of genetic neural network, combined with the advantages of FNN neural network algorithm, a FGNN structure is established to optimize the system, which is helpful to the learning and expression ability of the whole system. The results show that the FGNN can extract and express the structured data, and the submission management system runs faster. Then, UML modeling and PHP framework are used to realize the design and establishment of the system, and the simulation model of contribution system is constructed. The innovation of this study is to combine genetic neural network with FNN neural network, which can query, manage, and classify manuscripts quickly. It also improves the complex submission system and optimizes the submission process. The whole journal editing work has been effectively improved.
Experimental and Numerical Simulation Study of Hydraulic Fracture Propagation during Coalbed Methane Development
Authors: Ren Qingshan , Jiang Yaodong , Wang Pengpeng , Wu Guangjie , Noraei Danesh Nima
Published: August 2021

The extraction of low-permeability coalbed methane (CBM) has the dual significance of energy utilization and safe mining. Understanding hydraulic fracturing mechanism is vital to successful development of CBM. Therefore, it is important to improve the law of hydraulic fracture propagation in coal and rigorously study the influencing factors. In this paper, laboratory experiments and numerical simulation methods were used to investigate the hydraulic fracture propagation law of coal in coalbed methane reservoir with natural fractures. The results show that the maximum and minimum horizontal in situ stress and the difference in stress significantly affect the direction of crack propagation. The elastic modulus of coal, the mechanical properties of natural fractures, and the injection rate can affect the fracture length, fracture width, and the amount of fracturing fluid injected. To ensure the effectiveness of hydraulic fracturing, a reservoir environment with a certain horizontal stress difference under specific reservoir conditions can ensure the increase of fractured reservoir and the controllability of fracture expansion direction. In order to increase the volume of fractured reservoir and fracture length, the pumping speed of fracturing fluid should not be too high. The existence of stress shadow effect causes the hydraulic fracture to propagate along the main fracture track, where the branch fracture cannot extend too far. Complex fractures are the main hydraulic fracture typology in coalbed methane reservoir with natural fractures. The results can provide a benchmark for optimal design of hydraulic fracturing in coalbed methane reservoirs.
A Method for Optimal Detection of Lung Cancer Based on Deep Learning Optimized by Marine Predators Algorithm
Authors: Lu Xinrong , Nanehkaran Y. A. , Karimi Fard Maryam
Published: August 2021

Lung cancer is the uncontrolled growth of cells in the lung that are made up of two spongy organs located in the chest. These cells may penetrate outside the lungs in a process called metastasis and spread to tissues and organs in the body. In this paper, using image processing, deep learning, and metaheuristic, an optimal methodology is proposed for early detection of this cancer. Here, we design a new convolutional neural network for this purpose. Marine predators algorithm is also used for optimal arrangement and better network accuracy. The method finally applied to RIDER dataset, and the results are compared with some pretrained deep networks, including CNN ResNet‐18, GoogLeNet, AlexNet, and VGG‐19. Final results showed higher results of the proposed method toward the compared techniques. The results showed that the proposed MPA‐based method with 93.4% accuracy, 98.4% sensitivity, and 97.1% specificity provides the highest efficiency with the least error (1.6) toward the other state of the art methods.
Recapitulation and Prospect of Research on Flow Field in Coal Mine Gob
Authors: Zhang Rui , Cheng Jianwei , Wang Zui , Shao Zhenlu
Published: August 2021

Coal mine gob, mined‐out areas in underground coal mines, often accumulates explosive methane‐air mixtures that pose a deadly hazard to miners. A good understanding of the flow field in a sealed coal mine area is crucial in preventing and minimizing accidents associated with mine combustible gases and also for planning and implementing a mine rescue strategy. In recent years, the research on the flow field in the gob has changed from qualitative research in the past to quantitative research. This paper synthesizes the research results of flow field in gob in recent 40 years, covering the permeability of quarried areas, the airflow simulation in quarried areas, and the influence of ventilation parameters and geohydrological conditions on the flow field. Firstly, the overburden failure mechanism and fracture development characteristics of the mine gob, the distribution of porosity and permeability in the gob, and the relationship between them are introduced. Secondly, the development of research methods and numerical models used to study the flow field in mine gob is discussed. The distribution of the flow field in the gob under different conditions is expounded. Thirdly, the research on the prevention and control of fire and explosion risks in the gob is discussed. Finally, the problems to be solved in such research direction are addressed and suggestions are put forward.
Detecting Temporal Attacks: An Intrusion Detection System for Train Communication Ethernet Based on Dynamic Temporal Convolutional Network
Authors: Yue Chuan , Wang Lide , Wang Dengrui , Duo Ruifeng , Yan Haipeng
Published: August 2021

The train communication Ethernet (TCE) of modern intelligent trains is under an ever-increasing threat of serious network attacks. Denial of service (DoS) and man in the middle (MITM), the two most destructive attacks against TCE, are difficult to detect by conventional methods. Aiming at their highly time-correlated properties, a novel dynamic temporal convolutional network-based intrusion detection system (DyTCN-IDS) is proposed in this paper to detect these temporal attacks. A semiphysical TCE testbed that is capable of simulating real situations in TCE-based trains is first built to generate an effective dataset for training and testing. DyTCN-IDS consists of two phases, and in the first phase, systematic feature engineering is designed to optimize the dataset. In the second phase, a basic detection model that is good at dealing with temporal features is first built by utilizing the temporal convolutional network with several architectural optimizations. Then, in order to decrease the computational consumption waste on network packet sequences with different lengths of inner temporal relationships, dynamic neural network technology is further adopted to optimize the basic detection model. Diverse experiments were carried out to evaluate the proposed system from different angles. The experimental results indicate that our system is easy to train, converges fast, costs less computational resources, and achieves satisfying detection performance with a macro false alarm rate of 0.09%, a macro F-score of 99.39%, and an accuracy of 99.40%. Compared to some canonical DL-based IDS and some latest IDS, our system acquires the best overall detection performance as well.
Highway Traffic Speed Prediction in Rainy Environment Based on APSO-GRU
Authors: Han Dongqing , Yang Xin , Li Guang , Wang Shuangyin , Wang Zhen , Zhao Jiandong
Published: August 2021

In order to accurately analyse the impact of the rainy environment on the characteristics of highway traffic flow, a short-term traffic flow speed prediction model based on gate recurrent unit (GRU) and adaptive nonlinear inertia weight particle swarm optimization (APSO) was proposed. Firstly, the rainfall and highway traffic flow data were cleaned, and then they are matched according to the spatiotemporal relationship. Secondly, through the method of multivariate analysis of variance, the significance of the impact of potential factors on traffic flow speed was explored. Then, a GRU-based traffic flow speed prediction model in rainy environment is proposed, and the actual road sections under different rainfall scenarios were verified. After that, in view of the problem that the prediction accuracy of the GRU model was low in the continuous rainfall scenario, the APSO algorithm was used to optimize the parameters of the GRU network, and the APSO-GRU prediction model was constructed and verifications under the same road section and rain scene were carried out. The results show that the APSO-GRU model has significantly improved prediction stability than the GRU model and can better extract rainfall features during continuous rainfall, with an average prediction accuracy rate of 96.74%.
Flight Delay Classification Prediction Based on Stacking Algorithm
Authors: Yi Jia , Zhang Honghai , Liu Hao , Zhong Gang , Li Guiyi
Published: August 2021

With the development of civil aviation, the number of flights keeps increasing and the flight delay has become a serious issue and even tends to normality. This paper aims to prove that Stacking algorithm has advantages in airport flight delay prediction, especially for the algorithm selection problem of machine learning technology. In this research, the principle of the Stacking classification algorithm is introduced, the SMOTE algorithm is selected to process imbalanced datasets, and the Boruta algorithm is utilized for feature selection. There are five supervised machine learning algorithms in the first-level learner of Stacking including KNN, Random Forest, Logistic Regression, Decision Tree, and Gaussian Naive Bayes. The second-level learner is Logistic Regression. To verify the effectiveness of the proposed method, comparative experiments are carried out based on Boston Logan International Airport flight datasets from January to December 2019. Multiple indexes are used to comprehensively evaluate the prediction results, such as Accuracy, Precision, Recall, F1 Score, ROC curve, and AUC Score. The results show that the Stacking algorithm not only could improve the prediction accuracy but also maintains great stability.
Similarity Criteria of Water Drive Physical Simulation of Pressure-Sensitive Fractured Reservoirs
Authors: Bin Nie , Shaohua Gu , Sijia Zeng
Published: August 2021

A mathematical equation of water drive physical simulation of pressure-sensitive fractured reservoirs was established based on previous research results. In this study, the similarity criteria of water drive physical simulation of pressure-sensitive fractured reservoirs were derived according to the similarity theory. First of all, based on the three-dimensional differential equation of rock mechanics, a dimensionless analysis was conducted to determine the similarity relationship between the displacement of oil by water of pressure-sensitive fractured reservoirs, the similarity criterion was obtained, and the similarity criteria were formed. Secondly, according to the similarity criterion, the similar relationship between the stress-strain fields of the real object and the simulated object was worked out. Thirdly, the finite element software COMSOL Multiphysics was applied to model and calculate the multifield coupling process in the percolation of pressure-sensitive fractured reservoirs, verifying the correctness of the established similarity criteria and similarity relationship. The verifying results shows that the similarity between the physical model and the actual model can be realized by magnifying the geometric size

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times in a certain direction and adjusting the load and boundary conditions according to the similarity principle, which can be used for the design of the pressure-sensitive fractured reservoir simulation model for a physical indoor test.
[Retracted] Information System Security Evaluation Algorithm Based on PSO‐BP Neural Network
Authors: Zheng Qinghua
Published: August 2021

With the deepening of big data and the development of information technology, the country, enterprises, organizations, and even individuals are more and more dependent on the information system. In recent years, all kinds of network attacks emerge in an endless stream, and the losses are immeasurable. Therefore, the protection of information system security is a problem that needs to be paid attention to in the new situation. The existing BP neural network algorithm is improved as the core algorithm of the security intelligent evaluation of the rating information system. The input nodes are optimized. In the risk factor identification stage, most redundant information is filtered out and the core factors are extracted. In the risk establishment stage, the particle swarm optimization algorithm is used to optimize the initial network parameters of BP neural network algorithm to overcome the dependence of the network on the initial threshold, At the same time, the performance of the improved algorithm is verified by simulation experiments. The experimental results show that compared with the traditional BP algorithm, PSO‐BP algorithm has faster convergence speed and higher accuracy in risk value prediction. The error value of PSO‐BP evaluation method is almost zero, and there is no error fluctuation in 100 sample tests. The maximum error value is only 0.34 and the average error value is 0.21, which proves that PSO‐BP algorithm has excellent performance.
Comparison of Nutritional and Meat Quality Characteristics between Two Primal Cuts from Aceh Cattle in Aceh Province, Indonesia
Authors: Sofyan Hamny , Satyaningtijas Aryani Sismin , Sumantri Cece , Sudarnika Etih , Agungpriyono Srihadi
Published: August 2021

The Aceh cattle are local Indonesian beef cattle that are farmed in Aceh Province. This type of cattle is one of the sources of meat for the Aceh people. This study aims to analyze the quality of two primal cuts (longissimus lumborum and semitendinosus muscle) from Aceh cattle based on the muscle microstructure characteristics and MSTN gene expression. This study used a sample of longissimus lumborum and semitendinosus muscles from 18 adult male Aceh cattle with the age of 2–2.5 years and a BCS of 3.24. Muscle samples were obtained shortly after the cattle were slaughtered in slaughterhouses in Banda Aceh and Aceh Besar districts. Muscle microstructure analysis was performed using the HE, Masson’s trichrome, and immunohistochemistry staining methods, while the MSTN gene expression analysis was performed using the qPCR method. The analysis of the physical quality of meat includes pH, meat color, fat color, cooking loss, water holding capacity, and WBSF value. The results showed that the area of LL muscle fibers was smaller than that of ST with relatively the same diameter. Both muscles were dominated by fast fibers with a percentage of 82.37% (LL muscle) and 91.80% (ST muscle). The area and composition of the type of muscle fibers are the main factors that influence the tenderness of Aceh beef. A higher distribution of collagen was found in ST muscles than in LL muscles. MSTN gene expression in both muscle types was relatively the same. Aceh cattle have large muscle fibers and are dominated by fast fibers with a high percentage, resulting in a low level of the tenderness of Aceh beef. However, the level of tenderness of Aceh beef is still in accordance with the cooking preparation of original and favorite cuisine of Aceh people.
Survey of Dental Implant and Restoration Selection by Prosthodontists in Dubai
Authors: Al Saleh Fatma , AbuZayeda Moosa , Kiat-amnuay Sudarat , Milosevic Alexander
Published: August 2021

Background. With various surgical and prosthetic component designs being introduced in dental implants, decisions have to be made when choosing a system and a certain prosthodontic protocol. A survey of implant prosthodontic specialists has not been previously performed in the Middle East. Aim. This study aimed to determine selection criteria and choice of dental implants and restorations by prosthodontic specialists in the Emirate of Dubai, United Arab Emirates. Materials and Methods. A validated 16-item questionnaire was used in the survey which included demographic information, implant training and experience, implant treatment planning, implant restoration, and implant system preference. The research protocol was approved by the Research and Ethics Committees of Hamdan Bin Mohammed College of Dental Medicine and Dubai Health Authority. Prosthodontists were identified from regulatory authority websites and contacted by e-mail with the questionnaire attached. Results. A total of 84.6% (77) of the registered prosthodontists in Dubai completed the questionnaire with 66.2% reported practicing implant dentistry. Out of which, 54.9% reported surgically placing dental implants and 45.1% restore them only prosthetically. Prefabricated metal abutments were the most commonly selected abutments for single crowns (76.0%) and for fixed dental prostheses (66.7%). Screw retention is preferred mostly for single crowns (68.0%) and fixed dental prostheses (74.0%). Locators were the most commonly selected type of attachment for implant-retained/supported overdentures (49.0%). Conventional loading was the most selected type of loading in all oral conditions. Conclusion. Within the limitations of this study, it can be concluded that most prosthodontists in Dubai practice implant dentistry and more than half surgically place dental implants. Prefabricated metal abutments are the most selected type of abutments. Most prosthodontists use screw-retained implant restorations and prefer locator attachments for implant-retained/supported overdentures. Conventional loading is the most preferred implant loading method in all oral conditions. Implant company/system selections are various and there is no major preference for a certain system. The majority of prosthodontists select implant systems based on implant features, literature review, and simplicity of restorative kit.
Application of DMAIC Cycle and Modeling as Tools for Health Technology Assessment in a University Hospital
Authors: Ponsiglione Alfonso Maria , Ricciardi Carlo , Scala Arianna , Fiorillo Antonella , Sorrentino Alfonso , Triassi Maria , Dell’Aversana Orabona Giovanni , Improta Giovanni
Published: August 2021

Background. The Health Technology Assessment (HTA) is used to evaluate health services, manage healthcare processes more efficiently, and compare medical technologies. The aim of this paper is to carry out an HTA study that compares two pharmacological therapies and provides the clinicians with two models to predict the length of hospital stay (LOS) of patients undergoing oral cavity cancer surgery on the bone tissue. Methods. The six Sigma method was used as a tool of HTA; it is a technique of quality management and process improvement that combines the use of statistics with a five-step procedure: “Define, Measure, Analyze, Improve, Control” referred to in the acronym DMAIC. Subsequently, multiple linear regression has been used to create two models. Two groups of patients were analyzed: 45 were treated with ceftriaxone while 48 were treated with the combination of cefazolin and clindamycin. Results. A reduction of the overall mean LOS of patients undergoing oral cavity cancer surgery on bone was observed of 40.9% in the group treated with ceftriaxone. Its reduction was observed in all the variables of the ceftriaxone group. The best results are obtained in younger patients (−54.1%) and in patients with low oral hygiene (−52.4%) treated. The regression results showed that the best LOS predictors for cefazolin/clindamycin are ASA score and flap while for ceftriaxone, in addition to these two, oral hygiene and lymphadenectomy are the best predictors. In addition, the adjusted R squared showed that the variables considered explain most of the variance of LOS. Conclusion. SS methodology, used as an HTA tool, allowed us to understand the performance of the antibiotics and provided variables that mostly influence postoperative LOS. The obtained models can improve the outcome of patients, reducing the postoperative LOS and the relative costs, consequently increasing patient safety, and improving the quality of care provided.
Study on Shear Strength Characteristics of Marine Silt Modified by Steel Slag
Authors: Wang Liyan , Zhang Bin , Xie Hongmei , Ji Wenwei , Huang Xiang
Published: August 2021

Modern coastal cities continue to expand to the sea, but the marine silt foundation has high water content and poor bearing capacity. Therefore, it is necessary to find economical and rapid ways to reduce the water content of the silt and improve the bearing capacity of the silt foundation. The steel slag is considered to be incorporated into silt to effectively reduce the moisture content of soil and improve the bearing capacity of the foundation due to its hard texture and strong water absorption capacity. In this paper, the shear strength characteristics of marine silt modified by steel slag were studied using an automatic triaxial instrument, as well as the relationship between steel slag incorporation and modified silt density. Experimental results showed that the incorporation of steel slag can effectively improve the shear strength of the silt. Besides, the influences of water content, steel slag incorporation, and confining pressure on the stress‐strain curve characteristics and failure deviatoric stress of modified silt were also analyzed. The addition of steel slag increases the failure deviatoric stress of the silt. However, the increase of water content will weaken the effect of steel slag incorporation. The shear strength index of improved silt with different steel slag incorporation was compared with that of traditional soil, verifying the feasibility of its application in engineering construction.
Validation and Analysis on Numerical Response of Super‐High‐Speed Railway Pantograph‐Catenary Interaction Based on Experimental Test
Authors: Yang Jia , Song Yang , Lu Xiaobing , Duan Fuchuan , Liu Zhigang , Chen Ke
Published: August 2021

The numerical tools can be used to facilitate the design of the railway pantograph‐catenary system. The validation of the current numerical results is mostly performed at a speed slower than 350 km/h. This paper aims at the validation and analysis of the numerical results at a super‐high‐speed. The catenary model is constructed based on a nonlinear finite element approach employing the absolute nodal coordinate formulation. A multibody dynamics model is adopted to represent the pantograph. The measurement data are collected by an inspection vehicle equipped with an instrumented pantograph operating at 378 km/h in Chengdu‐Chongqing high‐speed line. Comparing the numerical simulation and the field test shows that the present pantograph‐catenary model can provide reliable numerical results at 378 km/h. The numerical analysis of pantograph‐catenary interaction at super‐high‐speed shows that the trailing pantograph performance does not comply with the assessment standard at 378 km/h. The adjustment of double‐pantograph interval and messenger wire tension can effectively improve the trailing pantograph performance.
Research on Accounting Information Security Management Based on Blockchain
Authors: Shao Huaqing , Zhang Zongli , Wang Bin
Published: August 2021

At present, accounting information presents various and complex characteristics, which leads to the decline in the comprehensive scheduling level of accounting information security management system. For this problem, a blockchain-based accounting information security management information model is designed. This paper constructs the blockchain accounting information security association blockchain Big Data analysis model and processes the sample data, uses the semantic rough feature matching method to decompose the characteristics of blockchain accounting information, realizes the feature information fusion and autocorrelation feature matching and finally reorganizes and manages the blockchain accounting information security. The simulation results show that this method has better comprehensive scheduling ability, information fusion scheduling ability is greater than 92%, convergence is greater than 91.8%, feature recognition rate is greater than 90.1%, and management accuracy is greater than 95.6%. The design method can effectively improve the security and stability of accounting information storage and management.
Maternal Thinness and Obesity and Customized Fetal Weight Charts
Authors: González González Nieves L. , González Dávila Enrique , González Martín Agustina , Padrón Erika , García Hernández José Ángel
Published: August 2021

Objective: The aim of the study was to determine if customized fetal growth charts developed excluding obese and underweight mothers (CC(18.5–25)) are better than customized curves (CC) at identifying pregnancies at risk of perinatal morbidity. Material and Methods: Data from 20,331 infants were used to construct CC and from 11,604 for CC(18.5–25), after excluding the cases with abnormal maternal BMI. The 2 models were applied to 27,507 newborns and the perinatal outcomes were compared between large for gestational age (LGA) or small for gestational age (SGA) according to each model. Logistic regression was used to calculate the OR of outcomes by the group, with gestational age (GA) as covariable. The confidence intervals of pH were calculated by analysis of covariance. Results: The rate of cesarean and cephalopelvic disproportion (CPD) were higher in LGAonly by CC(18.5−25) than in LGAonly by CC. In SGAonly by CC(18.5−25), neonatal intensive care unit (NICU) and perinatal mortality rates were higher than in SGAonly by CC. Adverse outcomes rate was higher in LGAonly by CC(18.5−25) than in LGAonly by CC (21.6%; OR = 1.61, [1.34–193]) vs. (13.5%; OR = 0.84, [0.66–1.07]), and in SGA only by CC(18.5−25) than in SGAonly by CC (9.6%; OR = 1.62, [1.25–2.10] vs. 6.3%; OR = 1.18, [0.85–1.66]). Conclusion: The use of CC(18.5–25) allows a more accurate identification of LGA and SGA infants at risk of perinatal morbidity than conventional CC. This benefit increase and decrease, respectively, with GA.
Darier’s Disease Flare following COVID-19 Vaccine
Authors: Elbæk Mette Vestergaard , Vinding Gabrielle Randskov , Jemec Gregor Borut Ernst
Published: August 2021

Darier’s disease is a rare genodermatosis characterized clinically by dyskeratotic papules in the seborrheic and intertriginous areas and nail abnormalities. Dyskeratosis and acantholysis are typical histological findings. Darier’s disease is not known to be inflammatory by nature as inflammation occurs primarily due to local infections, and it may therefore differ from inflammatory dermatoses such as psoriasis and cutaneous lupus in response to antigen stimulation. Known triggers of Darier’s disease primarily include exogenous factors such as sun exposure, friction, or infection. We present a case of a 47-year-old white female with a flare of Darier’s disease 2 days following her first vaccination with COVID-19 vaccine (ChAdOx1-s [recombinant]) (Vaxzevria® [previously known as COVID-19 vaccine AstraZeneca]). In this case report, we discuss possible mechanisms linking the vaccination and the flare of Darier’s disease. We consider inflammatory mechanisms as well as a random co-occurrence. Due to the close time-related association between the disease flare and the COVID-19 vaccination, we find an urge to make other clinicians aware of a possible association.
Both Ends of Values in the Hemoglobin Spectrum Are Associated with Adverse Stroke Outcomes
Authors: Liu Qi , Wang Xianwei , Wang Yilong , Wang Chunxue , Zhao Xingquan , Liu Liping , Li Zixiao , Meng Xia , Guo Li , Wang Yongjun
Published: August 2021

Background and Purpose: Existing studies on the association between hemoglobin values and stroke outcomes mostly focus on the lower side and mortality, often the only and primary endpoint. The current study was conducted to assess the association between hemoglobin concentration and a variety of poor stroke outcomes in patients with acute ischemic stroke. Methods: We studied 8,321 patients enrolled in the China National Stroke Registry (CNSR) between 2007 and 2008. Patients were divided into 7 groups, and a logistic regression model was used to evaluate the association. Endpoints of interest included 1-year all-cause mortality, stroke recurrence, combined endpoint, and stroke disability. Stroke disability was defined as a modified Rankin Scale of 2–6. Results: Patients with low and high hemoglobin values (≤11.6 g/dL and >16.1 g/dL) had higher proportion of poststroke adverse events than those in other groups. As compared with the fourth group of hemoglobin values of 13.5–14.2 g/dL, the adjusted odds ratios (ORs) with 95% confidence interval (CI) of low hemoglobin values (≤11.6 g/dL) were 2.25 (1.72–2.93) for all-cause mortality, 1.30 (1.04–1.61) for stroke recurrence, 1.63 (1.33–2.01) for combined endpoint, and 1.37 (1.12–1.67) for stroke disability, respectively. And, the ORs of high hemoglobin values (>16.1 g/dL) for adverse stroke outcomes were 1.72 (1.25–2.37), 1.43 (1.13–1.82), 1.43 (1.13–1.81), and 1.31 (1.06–1.63), respectively. Stratified analysis showed significant interactions between sex and categories of hemoglobin values for all-cause mortality (p = 0.05), stroke recurrence (p = 0.03), and combined endpoint (p = 0.01) but not for stroke disability (p = 0.24). Conclusions: Our study found both low and high hemoglobin values were associated with adverse stroke outcomes including all-cause mortality, stroke recurrence, combined endpoint, and stroke disability, which showed a U-shaped association. And, significant interactions between sex and hemoglobin concentration on all-cause mortality and stroke recurrence were also identified.
Two Cases of Paradoxical Nonscarring Alopecia after Mesotherapy with Dutasteride
Authors: Reguero del Cura Leandra , De Quintana Sancho Adrian , Rubio Lombraña Marta , López Sundh Ana Elisabet , González López Marcos Antonio
Published: August 2021

Alopecia after mesotherapy with dutasteride is an extremely rare complication. Dutasteride is a second-generation 5a-reductase enzyme inhibitor that decreases serum dihydrotestosterone levels by 90%. It inhibits both type 1 and 2 enzymes, whereas finasteride inhibits only type 2. Mesotherapy with dutasteride is a novel treatment for hair fall which involves microinjection of the drug into the dermis with negligible systemic absorption. Frequent mild transitory side effects in the site of injection are described in medical literature, but few cases of secondary alopecia have been reported. This stands out given that mesotherapy is becoming such an increasingly common procedure with a great number of patients treated with this technique. We present 2 cases of patchy alopecia after mesotherapy with dutasteride in a male and a female with androgenetic alopecia. One of them developed skin atrophy on the affected areas without improvement at short term follow-up. These cases highlight the possible paradoxical side effects of mesotherapy as a therapeutic technique for hair loss.
Editorial
Authors: Oliveira Thiago de Lima
Published: August 2021

Editorial
“Camarão que dorme a onda leva”: ponderações éticas sobre o trabalho de campo em contextos perigosos
Authors: Lopes Maycon
Published: August 2021

A partir do relato de uma situação extrema – de violência e ameaça direta à vida – experimentada no curso de uma etnografia, pretendo neste texto abordar questões metodológicas e éticas mais amplas inerentes à dinâmica de trabalho de campo. Exploro, entre outros pontos, a introdução (neste caso, indevida) de dispositivos fotográficos durante a observação participante e os desdobramentos deste episódio na produção dos dados e na conformação da investigação de modo geral. Argumento que diante da violência que permeia a cidade contemporânea, e a que necessariamente – com níveis de risco variados – os estudiosos estão expostos nas chamadas pesquisas in loco em contextos marcados pela criminalidade (como favelas dominadas pelo tráfico de drogas), é fundamental discutirmos medidas que possam vir ao auxílio dos mesmos, seja para não comprometer a realização do estudo, seja, principalmente, para salvaguardar sua integridade física e psíquica.