bluuebunny/crossref_metadata_2025 huggingface dataset:
Parameter Determination Method of Soil Constitutive Model Based on Machine Learning
Authors: Song Zhibin , Liu Shurong , Jiang Mingyue , Yao Suling
Published: March 2022

In order to better determine the model parameters and improve the safety and stability of construction, an optimized identification method of constitutive model parameters with improved RCGA is proposed by combining the current optimization theory. The experimental results indicate that the improved RCGA algorithm proposed in the study has stronger recognition capabilities and optimization effects than the traditional NSGA-II algorithm and determine the parameters of the constitutive model more accurately. Moreover, it is found that the parameters obtained by the proposed improved algorithm have validity and accuracy, when parameter

P

0

′

=
50

 kPa, comparing the obtained optimal parameters with the real laboratory clay parameters.
Identification of Potential Poly (ADP-Ribose) Polymerase-1 Inhibitors Derived from Rauwolfia serpentina: Possible Implication in Cancer Therapy
Authors: Abuzenadah Adel M. , Al-Sayes Fatin , Mahafujul Alam Syed Sahajada , Hoque Mehboob , Karim Sajjad , Hussain Ibtessam M.R. , Tabrez Shams
Published: March 2022

Poly (ADP-ribose) polymerase-1 (PARP-1) has been recognized as a prospective target for the development of novel cancer therapeutics. Several PARP-1 inhibitors are currently being considered for anticancer drug development and clinical investigation. Lately, natural compounds seem to be excellent alternative drug candidates for cancer treatment. Rauwolfia serpentina is a medicinal plant traditionally used in Indian subcontinents to treat various diseases. This study has been designed to identify the bioactive compounds derived from R. serpentina for possible binding and inhibition of PARP-1 using the molecular docking approach. Thirteen compounds were found to interact with the target with a binding affinity greater than the value of −9.0 kcal/mol. After screening the physicochemical properties, only 5 ligands (ajmalicine, yohimbine, isorauhimbine, rauwolscine, and 1,2-dihydrovomilenine) were found to obey all the parameters of Lipinski’s rule of five, showed maximum drug-likeness, and possess no significant toxicity. These ligands displayed strong interactions with target PARP-1 via several hydrogen bonds and hydrophobic interactions. Therefore, these identified compounds derived from R. serpentina can be considered for drug development against cancer-targeting PARP-1.
Effects of Vitamin D Deficiency on the Function of the Cardiac Autonomic Nervous System in Rats
Authors: Luo Xuemei , Xiong Jie , Cai Hong , Zou Runmei , Li Fang , Wang Yuwen , Wang Cheng
Published: March 2022

Background. Previous studies have shown that autonomic nervous system (ANS) dysfunction was closely related to vitamin D (VD) deficiency, but the mechanism remained unclear. The purpose of this study was to evaluate the mechanism of VDdef on the function of cardiac ANS in rats. Methods. After 10 weeks of VD deficiency feeding, we successfully established a VD-deficient rat model. The body weight of rats was recorded, and the levels of calcium (Ca), phosphorus (P), creatinine (CRE), triglyceride (TG), hemoglobin (HG), and 25(OH)VD3 in serum were detected by corresponding kits. Short-time frequency domain analysis was used to evaluate the heart rate variability (HRV) of all rats. The expression of tyrosine hydroxylase (TH) in the atria and ventricle were detected by IHC. ELISA was used to determine the levels of acetyl choline (Ach) and nitric oxide (NO). HPLC was used for the detection of norepinephrine (NE). The expressions of KIR3.1, HERG, KVLQT1, and Mink were detected by qRT-PCR and western blot. Results. After 10 weeks of VD deficiency feeding, serum 25(OH)VD3 levels were markedly reduced in the VDdef group, and sera Ca and P, as well as body weight, were notably decreased in the VDdef group. In resting and motion states, VD deficiency resulted in a decline in HF levels and a mark increase in VLF and LF/HF levels. VD deficiency caused a reduction in the release of the local cardiac neurotransmitters TH and Ach. NE and NO levels were also remarkably depressed in the VDdef group. In addition, VD deficiency resulted in severely impaired expression of potassium channel proteins. Conclusion. VD deficiency leads to cardiac ANS dysfunction. The imbalance in heart rate variability, impaired release and secretion of neurotransmitters and local plasma hormones in the heart, and downregulation of potassium channel protein expression caused by VD deficiency may be closely related to this dysfunction.
Multilayer Super-Translucent Zirconia for Chairside Fabrication of a Monolithic Posterior Crown
Authors: Rinke Sven , Metzger Anna , Ziebolz Holger
Published: March 2022

This case report describes the chairside fabrication of a monolithic posterior crown using a multilayer super-translucent zirconia material. According to the manufacturer’s information, the newly introduced multilayer zirconia (4-YTZP) offers a unique combination of fracture strength (>850 MPa with speed-sintering) and improved optical properties, thus allowing a reduced minimum material thickness and optional temporary luting. By using up-to-date components of the CEREC system, including superfast dry-milling and a speed-sintering process, the fabrication of a monolithic zirconia crown is possible within an acceptable timeframe for the chairside workflow (60-75 min). The usage of a multilayer super-translucent material allows for the individualization of the restoration, typically in a single combined stain and glaze firing. However, it should be noted that clinical data for this type of restoration are still sparse. Therefore, manufacturer recommendations regarding indication, preparation, and cementation must be followed very strictly.
An Open-Label Exploratory Clinical Trial Evaluating the Effects of GLS (Coptidis Rhizoma-Evodiae Fructus 2 : 1) on Fibroblast Growth Factor 21 in Patients with Nonalcoholic Fatty Liver Disease
Authors: Zhang Yang , Luo Jian-Xing , Li Yan-Ge , Fu Hong-Fang , Yang Fang , Hu Xiao-Yu
Published: March 2022

Background and Aim. Coptidis Rhizoma and Evodiae Fructus share the potential to treat nonalcoholic fatty liver disease (NAFLD). Increased fibroblast growth factor (FGF) 21 secreted by hepatocytes is an important self-help behavior in NAFLD. We investigated the effects of GLS (Coptidis Rhizoma-Evodiae Fructus 2 : 1) for both their clinical effect and their serum FGF-21 levels in NAFLD patients. Methods. In a 12-week, open-label, exploratory clinical trial, 126 NAFLD patients were randomly divided into the GLS group (lifestyle intervention plus GLS) or the polyene phosphatidylcholine (PPC) group (lifestyle intervention plus PPC). Random numbers generated by DPS software were used in combination with opaque, sealed envelopes for allocation concealment. At baseline as well as at the end of the study, anthropometric parameters, glucose, lipids, hepatic enzymes, and FGF 21 were measured, with hepatic fat accumulation assessed by ultrasound (US) and US-based controlled attenuation parameter (CAP). Results. 119 patients completed the study. Baseline parameters did not significantly differ between the two groups (

P
>
0.05

). Compared with PPC, GLS decreased more significantly in hepatic fat accumulation, body weight index, waist circumference, waist-to-hip ratio, serum glucose, total cholesterol, triglyceride, low-density lipoprotein cholesterol, alanine transaminase, aspartate transaminase, gamma-glutamyl transferase, and FGF 21 (

P
<
0.05

). The effects of GLS on waist circumference, waist-to-hip ratio, CAP, and gamma-glutamyl transferase (GGT) were positively correlated with serum FGF 21 (r = 0.343, 0.342, 0.315, and 0.374, respectively,

P
<
0.05

). The GGT and FGF-21 changes were also confirmed by multiple linear regression analysis (B, 0.777; 95% CI: 0.307–1.247,

P
<
0.05

). Conclusion. GLS has a significant hepatoprotective effect on NAFLD patients, causing a decrease in FGF-21 secretion in response to the damage itself.
Investigation of Effectiveness of Shuffled Frog-Leaping Optimizer in Training a Convolution Neural Network
Authors: Baseri Saadi Soroush , Tataei Sarshar Nazanin , Sadeghi Soroush , Ranjbarzadeh Ramin , Kooshki Forooshani Mersedeh , Bendechache Malika
Published: March 2022

One of the leading algorithms and architectures in deep learning is Convolution Neural Network (CNN). It represents a unique method for image processing, object detection, and classification. CNN has shown to be an efficient approach in the machine learning and computer vision fields. CNN is composed of several filters accompanied by nonlinear functions and pooling layers. It enforces limitations on the weights and interconnections of the neural network to create a good structure for processing spatial and temporal distributed data. A CNN can restrain the numbering of free parameters of the network through its weight-sharing property. However, the training of CNNs is a challenging approach. Some optimization techniques have been recently employed to optimize CNN’s weight and biases such as Ant Colony Optimization, Genetic, Harmony Search, and Simulated Annealing. This paper employs the well-known nature-inspired algorithm called Shuffled Frog-Leaping Algorithm (SFLA) for training a classical CNN structure (LeNet-5), which has not been experienced before. The training method is investigated by employing four different datasets. To verify the study, the results are compared with some of the most famous evolutionary trainers: Whale Optimization Algorithm (WO), Bacteria Swarm Foraging Optimization (BFSO), and Ant Colony Optimization (ACO). The outcomes demonstrate that the SFL technique considerably improves the performance of the original LeNet-5 although using this algorithm slightly increases the training computation time. The results also demonstrate that the suggested algorithm presents high accuracy in classification and approximation in its mechanism.
GAN-Based Information Leakage Attack Detection in Federated Learning
Authors: Lai Jianxiong , Huang Xiuli , Gao Xianzhou , Xia Chang , Hua Jingyu
Published: March 2022

Federated learning (FL) has been a popular distributed learning framework to reduce privacy risks by keeping private data locally. However, recent work (Hitaj 2017) has demonstrated that sharing model’s parameter updates still leaves FL vulnerable to internal attacks in its training phase. Existing works cannot detect such attacks well. To address this problem, we propose a novel and lightweight detection scheme which selects and analyzes just a few parameter updates of the last convolutional layer in the FL model. Extensive experiments demonstrate that our proposed detection scheme can accurately and efficiently detect the malicious participant in near real time for a scenario with a malicious participant.
Comparative Study of Concrete with Polypropylene and Polyethylene Terephthalate Waste Plastic as Partial Replacement of Coarse Aggregate
Authors: Islam Md. Jahidul
Published: March 2022

Production of plastic has risen significantly in the last 60 years worldwide, and around 10% of this plastic is turned into solid waste. This plastic becomes an environmental hazard in the absence of appropriate recovery methods. Incorporating waste plastic in concrete is an alternate way to recycle this waste plastic. Polypropylene (PP) and polyethylene terephthalate (PET) are two of the most widely used plastic scarcely recovered and recycled. Therefore, in the present study, both PP and PET are used as a partial replacement (10%, 20%, and 30% by volume) of coarse aggregate. These concretes are compared for three different water‐cement ratios (0.42, 0.48, and 0.57). Properties such as workability, density, compressive, and tensile strengths are compared. Concrete with PP aggregate has shown as much as 39% higher compressive strength and 9% lower density than brick aggregate concrete. On the other hand, concrete with PET aggregate has displayed as much as 53% reduction in compressive strength compared to the reference concrete. Furthermore, it demonstrates higher workability and lower density. Equations are proposed to describe relationships between compressive and splitting tensile strengths of concrete, including the effect of plastic aggregate percentages. Cost analysis of the concrete reveals that incorporating waste plastic in concrete is more expensive than the regular brick aggregate concrete. Still, up to 10%, PP can be used in concrete, considering the gain in compressive strength.
Obsessive-Compulsive Symptoms in an Adolescent with Intellectual Disability
Authors: Al-Abdullah Zainab , Nawaz Faisal A. , Kair Hawk M. , Sultan Meshal A.
Published: March 2022

Individuals with intellectual disability (ID) experience various psychiatric comorbidities including anxiety, depression, and obsessive-compulsive disorder (OCD) in a rate that is equivalent or higher than individuals without ID. Unfortunately, these cooccurring conditions are often missed during the evaluations due to various reasons, including their atypical presentation. In this case report, we present the clinical symptoms of an adolescent with mild ID who presented with irritability and was diagnosed with OCD following a comprehensive assessment. The treatment course is also summarized as well as the positive outcome to selective serotonin reuptake inhibitor (SSRI) medication. In this report, we discuss potential factors that increase the rate of psychiatric comorbidities including OCD in individuals with ID. Furthermore, in the context of limited research in this area, we recommend additional studies in order to build a detailed understanding of the clinical presentation of psychiatric cooccurring disorders in individuals with ID with the goal of enhancing assessment tools in the future.
A Longitudinal Comparison of the Recovery Patterns of Optic Neuritis with MOG Antibody-Seropositive and AQP4 Antibody-Seropositive or -Seronegative for Both Antibodies
Authors: Zhou Lin , Tan Xiao , Wang Ling , Zhao Xiujuan , Qiu Wei , Yang Hui
Published: March 2022

In this study, the aim is to compare the recovery pattern among patients with acute myelin oligodendrocyte glycoprotein antibody-seropositive optic neuritis (MOG-Ab + ON) attacks and aquaporin-4 antibody-seropositive ON (AQP4-Ab + ON) or -seronegative ON. At the onset of the first-ever ON attack, the thickness of RNFL (RNFLt) in the MOG-Ab + ON group was significantly thicker than others (

P
<
0.05

), while visual function damage was not significantly different to other groups. One month to six months after onset, the MOG-Ab + ON group showed significantly better visual function (

P
<
0.05

) than the other two groups, while the RNFLt showed no significant difference among the three groups (

P
>
0.05

). MOG-Ab + ON and AQP4-Ab + ON groups showed rapid recovery in the first month and then plateaued. The annual relapse rate was significantly higher in MOG-Ab + ON and AQP4-Ab + ON groups than seronegative ON. The relapse interval of the MOG-Ab + ON group (9.00 ± 7.86 months) was significantly shorter than that of the AQP4-Ab + ON group (45.76 ± 37.82 months) (

P
<
0.05

) but showed no significant difference from that of the seronegative ON group (

P
>
0.05

). To sum up, the recovery patterns were different among these three types of ON. RNFLt was not parallel to the recovery of visual function among these types of ON. MOG-Ab + ON had the mildest visual function damage but the most substantial RNFL changes, while AQP4-Ab + ON suffered the worst function damage. MOG-Ab + ON had a similar relapse rate as AQP4-Ab + ON but a shorter interval, indicating that relapse prevention was necessary and should be initiated as early as possible.
Analysis and Prediction of Microblog Hot Topics Propagation Based on Deep Learning
Authors: Luhui Hua , Yuan Jing , Fangli Tao , Handi Ding , Xiaozhen Wang
Published: March 2022

Sina Microblog, China’s most popular social media platform, has a massive amount of data and users. The prediction of microblog forwarding has become a hot research topic in the current academic circle. The majority of current microblog forwarding research relies on traditional models that only use certain data properties or statistical features akin to term frequency-inverse document frequency (TF-IDF) for training but fail to extract microblog semantic-level information. In light of the popularity of evolutionary analysis and forecasting your own research only on particular moment popularity or predict popularity, finally, we only analyzed the influence of different factors on the final popularity, without considering the various factors in the popularity of the role played by different evolutionary stages and the popularity of evolutionary problems such as insufficient understanding. This article proposes a three-dimensional feature model. Average, trend, and cycle were used to fit and predict the prevalence, as well as the prevalence prediction method based on deep learning. We analyzed the hot topic evolvement popularity and defined a 3D character model. Regarding average, trend, and cycle and based on 3D feature model to create time series model to fit hot subject popularity evolution and forecast the short-term popularity of hot topic evolution, comparing Spike M and SH model, this work puts forward the model fit and greater accuracy. From the analysis and quantification of influencing factors in the three key stages of epidemic evolution, outbreak, peak, and decline, a prediction model of the epidemic based on a deep neural network was proposed, the different effects of each influencing factor in the evolution process of the epidemic were analyzed in detail, and the active period of the epidemic was predicted. In comparison with the Spike M and SVR models, the proposed technique has a greater effect and performance in terms of predictability and timeliness.
Magnetic Resonance Image under the Low-Rank Matrix Denoising Algorithm in Evaluating the Efficacy of Neoadjuvant Chemo-Radiotherapy for Rectal Cancer
Authors: Qi Yulong , Feng Fei , Zhang Na , Zhang Hui , Cheng Guanxun
Published: March 2022

This study was to explore the application value of magnetic resonance imaging (MRI) images obtained by low-rank matrix recovery algorithm (LRMR algorithm) in evaluating the curative effect of rectal cancer patients receiving the neoadjuvant chemo-radiotherapy (nCRT). In this study, an image denoising model was designed based on the LRMR algorithm, the original low-rank data matrix was recovered from the error, and the low-rank matrix was restored by solving the optimal kernel norm, so as to effectively separate the image data information and the interference noise. In addition, the model was applied to 60 patients with rectal cancer who received nCRT to extract the texture parameters and lesion-related data from the MRI images. The results showed that the MRI images optimized by LRMR algorithm were clearer than the original images, contained less excess noise, and had improved imaging accuracy and image quality. The results of typical cases suggested that the front of the rectal wall membrane of a patient in the T-downstage group was not smooth before treatment, the internal angiography was blurred, and the wall membrane was thickened, but the wall membrane became thinner after treatment, the highest position was reduced from 1.46 cm to 0.38 cm, the average value of the apparent diffusion coefficient (ADC) increased from 0.732 × 10−3 mm2/s to 1.196 × 10−3 mm2/s, and the lesion tissue was thicker. It was found that the height, length, and ADC of the lesion after the nCRT showed statistically great difference in contrast to the values before the treatment

P
<
0.05

. Such results indicated that the nCRT showed obvious effects in the clinical treatment of rectal cancer. In short, the LRMR algorithm could remove the interference noise in the MRI image, and from the information about rectal cancer tumor lesions extracted from that, the height value and length value of tumor lesions in patients given neoadjuvant chemo-radiotherapy were reduced compared with those before treatment, and the apparent diffusion coefficient value was increased, indicating that neoadjuvant chemo-radiotherapy has a significant effect in the clinical treatment of rectal cancer.
A Framework to Assess the Impact of Employee Perceived Equality on Contextual Performance and Mediating Role of Affective Commitment to Enhance and Sustain Positive Work Behavior
Authors: Dongrey Ritika , Rokade Varsha
Published: March 2022

Different employees working in a similar organization may have a different experience‐based perception of workforce diversity and management. When employees perceive discrimination, it adversely affects them psychologically and negatively affects their behavior, while perceiving equality reinforces a positive mindset towards other members and management, resulting in healthy work culture. This study investigates the association between perceived equality, affective commitment, and contextual performance. Further, the differences in perception of various genders were examined. The data were collected from (n = 385) employees working in various private organizations in India and were analyzed using the structural equation modeling (SEM) and analysis of variance (ANOVA). The study’s novelty is that, unlike prior research, the study indicated a significant inverse relationship between perceived equality and contextual performance. Moreover, affective commitment mediated the positive relationship between perceived equality and contextual performance. Perceived equality showed a significant positive relationship with affective commitment. Unlike previous research, the analysis of variance demonstrated that both males and females indicated no significant differences regarding contextual performance. Thus, the current research provides a comprehensive model to assess the psychological and behavioral effect of organizational practices related to equal opportunities and representation to diverse employees.
Photocatalytic Activity of Ti-SBA-15/C3N4 for Degradation of 2,4-Dichlorophenoxyacetic Acid in Water under Visible Light
Authors: Duong Hoa T. T. , Duong Mai T. P. , Nguyen Oanh K. , Le Son T. , Dang Long V. , Nguyen Binh T. , Do Dang V.
Published: March 2022

In the present study, the photocatalytic activity of Ti-SBA-15/C3N4 catalysts was investigated to degrade 2,4-Dichlorophenoxyacetic acid (2,4-D) herbicides in water under visible light irradiation. The catalysts were synthesized via a simple hydrothermal method and characterized by various analytical techniques, including SAXS, N2 adsorption-desorption isotherms, Zeta potential, PL, FT-IR, XRF, TGA, and UV-DRS. Our study indicated that the 2.5Ti-SBA-15/C3N4 had higher efficiency in the degradation of 2,4-D than Ti-SBA-15 and C3N4. The decomposition of 2,4-D reached 60% under 180 minutes of visible light irradiation at room temperature on 2.5Ti-SBA-15/C3N4. Moreover, the degradation of 2,4-D on Ti-SBA-15/C3N4 was pseudo-first-order kinetics with the highest rate constant (0.00484 min−1), which was much higher than that obtained for other photocatalysts reported recently. Furthermore, the catalyst can be reused at least two times for photodegradation of 2,4-D solution under visible light irradiation within a slight decrease in catalytic activity.
Data Mining Method under Model-Driven Architecture (MDA)
Authors: Xie Jiangning , Xu Feng , Li Zhen , Li Xueqing
Published: March 2022

With the development of university information technology, how to mine and visually analyze the data of the existing separated information system will become an important research topic. The current university information system is a combination of some proprietary business systems characterized by poor data separation and storage and data analysis power. In addition, the data mining methods based on cloud computing will make customers gradually lose the ability to control the data. Because of the above problems, this paper proposes a university data mining method based on the MDA idea by constructing a data analysis and visualization framework, including multidimensional data modeling, data extraction, and data display based on visualization technology. The framework makes full use of the design idea of MDA and models multidimensional data, data extraction, and data display, respectively. The multidimensional data model module, data extraction module, and data visualization module provide efficient solutions for data analysis and visualization in universities.
Research on Piano Informatization Teaching Strategy Based on Deep Learning
Authors: Hou Yihao
Published: March 2022

Applying information technology to piano teaching can effectively avoid these problems. The application of information teaching means can not only enrich teaching methods but also enhance students’ interest in learning. Deep learning (DL) focuses on immersing students in knowledge and learning situations, emphasizing critical thinking, and realizing the intrinsic value of knowledge. Understanding DL theory is of great significance to deepening the teaching reform in China. BP algorithm is a very effective algorithm for prediction and evaluation. In this paper, the complex factors affecting the quality of piano information teaching are comprehensively considered, and the improved BP neural network (BPNN) algorithm is used to evaluate and predict the quality of piano information teaching. The model structure of BPNN for evaluating and predicting the quality of piano information teaching is given and simulated in MATLAB. The results show that the evaluation and prediction method overcomes the subjective factors of expert evaluation and obtains reasonable results. Compared with the traditional BPNN algorithm, it has good applicability.
Composite Resin Preheating Techniques for Cementation of Indirect Restorations
Authors: Lousan do Nascimento Poubel Déborah , Ghanem Zanon Ana Elisa , Franco Almeida Júlio César , Vicente Melo de Lucas Rezende Liliana , Pimentel Garcia Fernanda Cristina
Published: March 2022

Purpose. Resin-based materials have been preheated by using different techniques and commercial devices. However, a consensus on the clinical protocol for cementing with preheated composite resins is lacking. The aim of this scoping review was to identify the different methods used for heating composite resins as used for cementing indirect adhesive restorations and to determine the benefits and limitations. Study Selection. A search was performed on PubMed/MEDLINE, Embase, Cochrane, Web of Science, Scopus, LIVIVO, and the nonpeer-reviewed literature database. Studies on preheating composite resins for cementing indirect restorations were included, with no restrictions on the type of study, year of publication, or language. The following data were extracted: preheating technique, the device used for preheating, preset temperature, and warming time. Results. In total, 304 studies were identified. After removing duplicates, 270 articles were selected, and 14 articles were included in the final evaluation. Half of the included studies reported similar preheating techniques using the Calset device for composite resins. The temperatures of 54°C and 68°C were most frequently reported, with a mean warming time of 5 minutes. Conclusions. Preheating composite resins for the cementation of indirect restorations reduces viscosity, but the material must be used promptly after removal from the device. Practical Implications. Different methodologies for preheating composite resins have been reported and used in clinical dental practice. To achieve good results and guide the clinician on use, the techniques for heating composite resins for cementation need to be standardized. Keeping the material warm until the restorative procedure, the thickness of the indirect restoration, and the composition of the composite resins can directly affect the outcome of the procedure.
Analysis and Prediction of Stable Height of Capillary Water Rising under Unsaturated Subgrade Soil
Authors: Cao Jianfeng , Mao Zhihao , Hu Liqiang , Dai Yunfei , Luo Yu , Zhou Wenwei
Published: March 2022

In order to study the capillary water height of the highway subgrade and balanced moisture condition of the subgrade affected by groundwater, the standpipe method has been used in this study to track the measured data. It involves the analysis of the factors affecting the capillary water stability height of the coarse‐grained soil and fine‐grained soil filler as well as establishing the corresponding prediction model. The comparative analysis with the experimental tracking results and related literature shows that the prediction model developed in this study is highly accurate and can be applied for the analysis of the balanced moisture condition of the highway subgrade.
Anti-Inflammatory and Repairing Effects of Mesoporous Silica-Loaded Metronidazole Composite Hydrogel on Human Dental Pulp Cells
Authors: Wang Wei , Wang Xixi , Li Luyang , Liu Ying
Published: March 2022

In order to test an effective biopolymer scaffold in promoting the growth of human dental pulp stem cells (HDPSCs), mesoporous silica @ hydrogel (MSN@Gel) nanocomposites are invented as a new type of biopolymer scaffold for HDPSCs proliferation in this paper. The expression levels of alkaline phosphatase (ALP), dentin matrix protein 1 (DMP1), and dentin sialophosphoprotein (DSPP) are significantly increased in the MSN@Gel group so as to better repair damaged dentin. In order to inhibit the proliferation of bacteria in the dental pulp, metronidazole (MTR) is loaded into MSN. The study found that MSN could effectively prolong the half-life of MTR by 1.75 times, and the viability of HDPSCs could be better maintained in the MSN-MTR@Gel group so as to better promote its proliferation to repair pulpitis. However, with the increase of the MTR concentration, its proliferation effect on HDPSCs decreased gradually, and the proliferation effect is the best in 10 μmol/L. Therefore, the MSN-MTR@Gel scaffold is expected to become an effective method for pulpitis therapy in the future.
Automatic Arrhythmia Detection Based on the Probabilistic Neural Network with FPGA Implementation
Authors: Srivastava Rohini , Kumar Basant , Alenezi Fayadh , Alhudhaif Adi , Althubiti Sara A. , Polat Kemal
Published: March 2022

This paper presents a prototype implementation of arrhythmia classification using Probabilistic neural network (PNN). Arrhythmia is an irregular heartbeat, resulting in severe heart problems if not diagnosed early. Therefore, accurate and robust arrhythmia classification is a vital task for cardiac patients. The classification of ECG has been performed using PNN into eight ECG classes using a unique combination of six ECG features: heart rate, spectral entropy, and 4th order of autoregressive coefficients. In addition, FPGA implementation has been proposed to prototype the complete system of arrhythmia classification. Artix-7 board has been used for the FPGA implementation for easy and fast execution of the proposed arrhythmia classification. As a result, the average accuracy for ECG classification is found to be 98.27%, and the time consumed in the classification is found to be 17 seconds.
Tripartite Evolutionary Game Analysis of Shared Manufacturing by Manufacturing Companies under Government Regulation Mechanism
Authors: Liu Peng , Wei Xiaoling , Liu Caiyun
Published: March 2022

In order to study the decision‐making behavior of the participating groups in shared manufacturing, this paper constructs a tripartite evolutionary game model of shared manufacturing by manufacturing companies under government regulation mechanism. Using evolutionary game theory, it is to analyze the evolutionary stable strategy (ESS) of the model. The utilization efficiency of government regulatory input and the influence of government nonregulation in the proportion of regulatory income are discussed. MATLAB numerical simulation is used to analyze the influence of different parameter changes on the evolution result. It is concluded that the initial sharing probability of manufacturing companies, the level of trust in the company, the government’s penalties for nonsharing parties, the utilization efficiency of government inputs and the rewards given to the government by the state all play a positive role in promoting shared manufacturing and government regulation of manufacturing companies. The lower the ratio of government nonregulation to the income of regulation is, the more active government regulation is. In addition, the shared income should be distributed reasonably. Therefore, in the shared manufacturing process, all the above factors should be considered.
Design and Research of Intelligent Community Management System Based on Intelligent Internet of Things
Authors: Tang Jingyang
Published: March 2022

The consistent innovations and inventions in science and technology have made the intelligent development of community system a major trend. This article proposes a design and implementation of the overall framework of an Intelligent Community Governance System in the perspective of communication network such that intelligent information and software platforms to develop an information platform can be thoroughly utilized, thereby facilitating information sharing, service integration, and resource optimization. The framework deployed the theoretical bases supporting the development of smart communities, such that underlying infrastructure, supporting platform, and the basic database can be enhanced. The research results of this paper can provide some reference ideas for follow-up research.
Rapid Growth of the World Population and Its Socioeconomic Results
Authors: Sadigov Rahim
Published: March 2022

This article is mainly devoted to the study of socioeconomic opportunities and problems that may arise from the growth of the world’s population. The article identifies the reasons for the increase in world population and analyzes the factors influencing on the process. The article examines the impact of changes on the world’s demographics on socioeconomic development. As a result, the characteristics of possible problems were investigated and evaluated. The study analyzes the issues of demographic change in the world population, the current situation, and opportunities of the world economy in accordance with population statistics and its growth rate. The main purpose of the study is to determine the causes of world population growth, analyze the current demographic situation, and determine and assess the forecast of future growth dynamics. The study discusses, analyzes, and evaluates the problems that can be caused by the growth of the world’s population. The main problem we raise in the study is the mismatch between the rapid growth of the world’s population and the socioeconomic security of the people. That is, if the issue of socioeconomic security is not resolved, the growth of the world’s population would be a global social problem.
Coronary Artery Magnetic Resonance Angiography Combined with Computed Tomography Angiography in Diagnosis of Coronary Heart Disease by Reconstruction Algorithm
Authors: Ling Yun , Qiu Jiapei , Liu Jun
Published: March 2022

This research aimed at discussing the diagnosis effect of coronary artery magnetic resonance angiography (MRA) combined with computed tomography (CT) angiography (CTA) based on the back‐projection filter reconstruction (BPFR) algorithm in coronary heart disease (CHD), and its role in the diagnosis of coronary artery disease (CAD). Sixty patients with CHD were selected and randomly rolled into group A (undergone MRA examination), group B (undergone CTA examination), and group C (undergone MRA + CTA), with 20 cases in each group. Taking the diagnostic results of coronary angiography as the gold standard, the MRA and CTA images were reconstructed using a BPFR algorithm, and a filter function was added to solve the problem of image sharpness. In addition, the iterative reconstruction algorithm and the Fourier transform analysis method were introduced. As a result, the image clarity and resolution obtained by the BPFR algorithm were better than those obtained by the Fourier transform analytical method and the iterative reconstruction algorithm. The accuracy of group C for the diagnosis of mild coronary stenosis, moderate stenosis, and severe stenosis was 94.02%, 96.13%, and 98.01%, respectively, which was significantly higher than that of group B (87.5%, 90.2%, and 88.4%) and group C (83.4%, 89.1%, and 91.5%) (P < 0.05). The sensitivity and specificity for the diagnosis of noncalcified plaque in group C were 87.9% and 89.2%, respectively, and the sensitivity and specificity for the diagnosis of calcified plaque were 84.5% and 78.4%, respectively, which were significantly higher than those in groups B and C (P < 0.05). In summary, the BPFR algorithm had good denoising and artifact removal effects on coronary MRA and CTA images. The combined detection of reconstructed MRA and CTA images had a high diagnostic value for CHD.
Identify a DNA Damage Repair Gene Signature for Predicting Prognosis and Immunotherapy Response in Cervical Squamous Cell Carcinoma
Authors: Zhou Hong , Wu Limei , Yu Lijun , Yang Yabing , Kong Lili , Liu Shuo , Chen Wenhui , Li Ruiman
Published: March 2022

The DNA damage repair (DDR) genes are increasingly gaining attention as potential therapeutic targets in cancers. In this study, we identified the DDR genes associated with the tumor mutation burden (TMB) and prognosis of cervical squamous cell carcinoma (CESC) based on The Cancer Genome Atlas (TCGA) database. Through LASSO Cox regression, the prognostic signature involving five DDR genes (ACTR2, TEX12, UBE2V1, HSF1, and FBXO6) was established, and the risk score was identified as an independent risk factor for CESC. The nomogram consisting of the five genes accurately predicted the overall survival (OS) and the immunotherapeutic response of CESC patients. Finally, the loss of the copies of the transcription factor (TF) SP140 in CESC patients may decrease the expression of FBXO6, improve DNA repair function, and reduce the diversity of neoantigens, thereby lowering the response to immunotherapies. Therefore, the DDR gene signature is a novel prognostic model and a biomarker for immunotherapies in CESC patients.
The Role of von Willebrand Factor Antigen in Predicting Survival of Patients with HBV-Related Cirrhosis
Authors: Pan Youmin , Guo Renyong , Lv Yan , Cui Dawei , Xie Jue
Published: March 2022

Objective. The model for end-stage liver disease (MELD) scoring system cannot be used to assess the deterioration of patients with liver cirrhosis caused by infection and portal hypertension. Elevated von Willebrand factor antigen (vWF-Ag) in plasma is associated with portal pressure and complications in patients with liver cirrhosis. We aimed to evaluate whether the addition of vWF-Ag can improve the risk prediction ability of the MELD scoring system. Methods. A total of 228 patients with hepatitis B virus (HBV)-related liver cirrhosis were eligible for inclusion in this retrospective study. The vWF-Ag level was assessed by enzyme-linked immunosorbent assay (ELISA). The endpoint of this study was defined as the time to liver transplantation or death. Univariate and multivariate analyses were performed to assess the risk factors associated with transplant-free mortality. Receiver operating characteristic (ROC) curve analysis was used to assess potential discriminatory variables for transplant-free mortality. Results. During a median follow-up interval of 30.23 months, 124 patients (54.4%) reached the endpoint of this study. Patients who died or underwent liver transplantation had elevated levels of MELD and vWF-Ag. Moreover, vWF-Ag and MELD showed comparable predictive potential for transplant-free survival (area under the curve [AUC], vWF-Ag = 0.71; AUC, MELD = 0.73). Ultimately, vWF-Ag can significantly improve the predictive potential of MELD in determining transplant-free mortality (AUC, MELD-vWF-Ag = 0.79, P = 0.006). Conclusion. An elevated vWF-Ag level was independently associated with transplant-free mortality in patients with liver cirrhosis. The inclusion of vWF-Ag in the MELD scoring system can improve mortality predictions in patients with liver cirrhosis.
Comparison between Traditional Chinese Medicine Constitution and Blood Biochemical Markers Associated with Left and Right Mammary Hyperplasia in Rural Areas of Southwest China
Authors: Liao Li , Feng Jiahao , Fu Xi , Cao Lifang , Fan Min , Huang Cheng , Zhang Jun , Zhang Lin , Chen Peng , You Fengming
Published: March 2022

Background. Hyperplasia of mammary glands (HMG) is the breast disease with the highest clinical incidence. Many traditional Chinese medicine (TCM) doctors suggest that the treatment of HMG should be based on the left and right breast pain difference. However, these views are based on case reports, and an objective basis has not been established for treatment according to left-side and right-side differences. Methods. We enrolled 150 patients who met the clinical diagnostic criteria of HMG. The incidence bias was determined according to the score difference between bilateral breast pain and mass in patients with HMG. A left group, right group, and bilateral group were included, and TCM constitution was investigated in each group. Blood biochemical indicators were measured for 120 fasting patients. We conducted a network pharmacology study of the key herb qingpi and chenpi, which are used by TCM doctors to treat different lateral HMG. Results. In patients with biased onset of HMG, the results showed that the frequency and constitution score of stagnant blood in the L group were higher than those of the R group, and the frequency and constitution score of phlegm-dampness in the R group were higher than those of the L group. Both the L and R groups had high proportion of stagnant Qi. The results indicated that the concentration of coagulation factor VIII (FVIII) was higher in the L group than that in the R group, and the concentration of lipoprotein a (Lp-α) was higher in the R group than that in the L group. The results showed that sinensetin and neohesperidin contained in qingpi might interfere with platelet activation, thrombogenesis, prolactin signaling pathway, and atherosclerosis process, in removing “blood stasis” and eventually treating the left-leaning group of HMG patients. Sitosterol and citromitin contained in chenpi could regulate lipid metabolism by interfering with regulation of lipolysis in adipocytes, salivary secretion, estrogen signaling pathway, and thyroid hormone signaling pathway. Chenpi could eliminate “phlegm turbidity” and treat HMG patients in the right-leaning group. Conclusions. We preliminarily confirmed that the clinical pathogenesis of HMG is not a left-right equilibrium and TCM constitution, coagulation function, and lipid metabolism may be used as the objective basis for the difference between the left and right in HMG pathogenesis. For left-sided HMG patients, the doctor can consider qingpi, herb of activating blood and removing stasis, to treat HMG. However, for right-sided HMG, we think doctors should apply herb of activating Qi and eliminating phlegm, such as chenpi.
Student Performance Prediction in Mathematics Course Based on the Random Forest and Simulated Annealing
Authors: Huang Shaohai , Wei Junjie
Published: March 2022

Educational data mining is becoming a more and more popular research field in recent years, mainly with the help of cross research conducted by various disciplines, so as to solve various difficult problems in the teaching and education process. In this paper, we proposed a hybrid approach for student performance prediction. We collected the dataset, including 15 characteristics of students from three categories (individual basic information, individual education information, and individual behavior information). Based on the random forest (RF) and simulated annealing (SA) algorithms, we binary encode the relevant parameters (number of features, tree size, and tree decision weights) as the target variables for algorithm optimization, use the out-of-bag error as the optimization objective function, and then propose the IRFC (improved random forest classifier) algorithm in this paper. Compared with other mainstream improved random forest algorithms, the research results demonstrate that the proposed algorithm in this paper has higher generalization ability and smaller OOB error. This study provides a methodological reference for the prediction of student achievement and also makes a marginal contribution to student management work.
Intervention of the Syndrome-Position Point Selection Method on Idiopathic Tinnitus of Phlegm-Fire Stagnation Pattern: A Randomized Controlled Study
Authors: Su Qiang , Shi Xin , Zhang Jianning , Li Ming
Published: March 2022

Objective. To investigate the clinical effect of the syndrome-position point selection method on the intervention of idiopathic tinnitus of the phlegm-fire stagnation pattern. Methods. One hundred patients with idiopathic tinnitus of phlegm-fire stagnation pattern who met the inclusion criteria were randomized into the treatment group and the control group by the random number table method, with 50 cases in each group. The treatment group (syndrome-position point selection method) was treated with acupuncture at the corresponding acupoints for tinnitus and associated symptoms and the corresponding acupoints located in Wernicke’s area of scalp projection, while the control group (traditional acupuncture method) was treated with the combination of acupuncture points with the most frequent occurrence in the tinnitus research literature for acupuncture treatment. Both groups received acupuncture twice a week for 5 weeks. The efficacy was evaluated before and after treatment with the Tinnitus Severity Inventory (TSI), Sleep Spiegel Questionnaire, Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS). Results. The 100 patients with idiopathic tinnitus of phlegm-fire stagnation pattern completed 5 weeks of clinical treatment and a month of follow-up with no loss of patients and no adverse event reports. Three patients recovered with the disappearance of the tinnitus symptoms in the treatment group after 5 weeks of treatment. After 5 weeks of treatment, obvious differences between the two groups were observed in the TSI scores

P
<
0.05

and the Spiegel scores, with a better Spiegel score in the treatment group than in the control group

P
<
0.05

. Compared with the control group, the depression (SDS score) and anxiety (SAS score) of tinnitus patients in the treatment group were markedly improved

P
<
0.05

. Conclusion. In line with the principle of symptomatic treatment and based on the modern imaging data, the syndrome-position point selection method is more accurate and effective compared with the traditional acupoint selection method, which significantly improves the symptoms, sleep quality, and psychological state of patients with idiopathic tinnitus of the phlegm-fire stagnation pattern.