bluuebunny/crossref_metadata_2025 huggingface dataset:
Class II Correction with Microimplant Supported Molar Distalization: A Report of Two Cases
Authors: Skaf Zouhair , Nabbout Fidèle
Published: July 2022

Introduction. Orthodontic treatment of class II malocclusion with conventional treatment modalities can be challenging for the clinician. The use of microimplants to obtain absolute anchorage has become very popular in recent years especially in noncompliant patients. Microimplants are convenient, save time, and produce good treatment results with no need for patient cooperation. A special approach for class II correction with microimplant supported molar distalization has been developed by the authors and is illustrated through two clinical cases. Description. For each clinical case, 0.022” preadjusted brackets were bonded on both arches except on the maxillary first and second premolars with bands on the first and second molars. After leveling and alignment, a

0.017

”

×

0.025

”

stainless steel wire was fitted on the upper arch, and two microimplants were placed bilaterally between the maxillary second premolar and the first molar. Open coil springs were inserted in the upper archwire on both sides and compressed via a steel ligature on sliding hooks to the microimplants pushing distally simultaneously the first and second maxillary molars. En-masse retraction of the maxillary anterior teeth was then carried out on a

0.019

”

×

0.025

”

stainless steel closing loop archwire while the posterior segment was anchored to the microimplant with a steel ligature to the first premolar. Results. Class I canine and molar relationship were achieved, and an ideal occlusion was established. Both ANB and FMA angles decreased by 1° due to the counterclockwise rotation effect of the maxillomandibular complex. Skeletal and dental results remained stable three years later. Conclusion. Maxillary molar distalization using coils and buccal microimplants can be regarded as an effective technique in a relatively short time and might be considered a breakthrough in the treatment of class II malocclusions. Microimplants enable the clinician to perform a nonextraction treatment in noncompliant patients who would alternatively be treated only with extractions.
Correlation between the Treg/Thl7 Index and the Efficacy of PD-1 Monoclonal Antibody in Patients with Advanced Non-Small-Cell Lung Cancer Complicated with Chronic Obstructive Pulmonary Disease
Authors: Wang Xiaoyu , She Xinyuan , Gao Wei , Liu Xing , Shi Bin
Published: July 2022

Objective. It was to explore the correlation between regulatory T cells (Treg)/T helper cell 17 (Thl7) and the efficacy of receiving a programmed death protein-1 (PD-1) monoclonal antibody (mAb) in patients with advanced non-small-cell lung cancer (NSCLC) complicated with chronic obstructive pulmonary disease (COPD). Methods. The research subjects were 82 patients who were clinically evaluated and treated in the Respiratory Department of Suqian Hospital connected with Xuzhou Medical University from January to December 2021. All of the patients were given PD-1 immunotherapy, and 50 healthy people were chosen as the control group. Classification was carried out according to tumor type and tumor stage. The levels of Th17 and Treg/Th17 in the peripheral blood of patients with different tumor-node-metastasis (TNM) stages and different types were compared, and the immune function, lung function (forced expiratory volume in one second/forced vital capacity (FEV1%/FVC), FEV1%, and FVC), and changes in inflammatory factors were compared before and after treatment. The levels of interleukin (IL)-17, IL-6, tumor necrosis factor (TNF)-α, and transforming growth factor (TGF)-β were compared between the two groups. The correlation between Th17 cells and Treg cells in the peripheral blood of patients with NSCLC complicated with COPD was analyzed. Results. After treatment, the levels of IL-17, IL-6, TNF-α, and TGF-β in patients with NSCLC combined with COPD were notably superior to those in the control group (

P
<
0.05

). The immune function and lung function of the patients were improved after treatment. There were 43 cases of squamous cell carcinoma, 30 cases of adenocarcinoma, and 9 cases of large cell carcinoma. The proportion of Th17 cells to CD4+ T cells in the blood of the three types of patients and the proportion of CD4+CD25HiCD127Lo regulatory T cells to CD4+ lymphocyte cells in Treg cells showed no considerable difference among the different case types (

P
>
0.05

). No considerable difference was indicated in Treg/Th17 in peripheral blood between stage IIIB and stage IV lung cancer patients (

P
>
0.05

). A positive linear correlation was revealed between Th17 cells and Treg cells in the peripheral blood of patients with NSCLC combined with COPD,

R
=
0.26

,

P
=
0.039

. Conclusion. Treg and Th17 cells were shown to be much higher in lung cancer patients with COPD, which could lead to immunosuppression and tumor growth. PD-1 therapy for NSCLC has demonstrated efficacy and can improve patients’ immunological state while being extremely safe.
A Network Data Reinforcement Method Based on the Multiclass Variational Autoencoder
Authors: Qu Yanze , Ma Hailong , Jiang Yiming , Wang Liang , Yu Jing
Published: July 2022

Anomaly detection models based on deep learning come up against difficulties on the deployment in real scenarios such as generalization problem. The performance of the model based on specific dataset is not as good as expected in other scenarios. In order to avoid this problem, it is a feasible solution to collect network data from the target environment to train the model. This paper proposes a network data reinforcement method based on the multiclass variational autoencoder to complete training tasks with little amount data. In this paper, anomaly detection models based on MLP and CNN are designed, respectively, and validation experiments are carried out on the CICIDS-2018 dataset. Compared with unreinforced models, models based on this method get faster convergence speed during training. During evaluation, models based on this method achieve an average accuracy of 93.69%, while unreinforced models only get an average accuracy of 55.63%. In addition, this method provides competitive results on insufficient data compared with those existing models on sufficient data.
Application of Virtual Reality Technology in the Recognition System for Overcoming Anxiety and Psychological Pressure of Family Elderly
Authors: Gao Yan
Published: July 2022

When the elderly enter the old age, their physical functions gradually decline; their physical strength, vision, and hearing are weakened; and their self-care ability gradually decreases with the increase of age. At the same time, it is accompanied by different degrees of anxiety and psychological problems. The rapid development of virtual reality technology in recent years provides a way to solve this problem, and high-performance computer and processing technology are the keys to directly affect the performance of the system. The existing research is more about the material and spiritual life of the elderly, but the research on their psychological status is relatively insufficient. From the perspective of mental health, this study makes a comprehensive and objective empirical study on the psychological status of family elderly. Based on virtual reality (VR), by extracting heart rate variability (HRV) features from the elderly, this paper establishes a model to identify the psychological pressure of family elderly, which solves the problem that the elderly have adverse effects on their body, mind, and life due to long-term psychological pressure. The paper analyzes the accuracy of KNN, CNN, and RFC models in identifying three psychological stress states: relaxation and low-pressure state, relaxation and medium-pressure state, and relaxation and high-pressure state. When the pressure is higher, the accuracy of the three models will be better than that of the lower pressure state. Under high pressure, the accuracy of CNN and RFC is close, but RFC is slightly better than CNN, and the accuracy of RFC model is as high as 95.02%.
Analysis on the Social Environment of College Students’ Rural Employment and Entrepreneurship
Authors: Chai Wenguo
Published: July 2022

This paper aims to further solve the risks encountered by college students in the process of employment and entrepreneurship in rural areas and improve the success rate of employment and entrepreneurship. It presents a method of social environment analysis based on college students’ rural employment and entrepreneurship. This method deeply understands the employment and entrepreneurship environment of college students, deeply analyzes and identifies the constituent elements of college students’ rural employment and entrepreneurship environment, and takes the social environment of college students’ rural employment and entrepreneurship as the research object. With the help of questionnaire survey and data analysis, the survey shows that, in the channel selection of job hunting in the future, up to 77.20% choose to apply for a job through job fairs, and 69.60% will use advertising media such as networks and newspapers; 26.50% will apply for jobs through the talent market; 31.30% will apply for a job through relatives and friends; 15.40% will apply for jobs through independent entrepreneurship. This paper constructs the evaluation model of entrepreneurship and employment environment from the perspective of subjectivity and puts forward the optimization strategy of entrepreneurship and employment environment from four fields: policy environment, capital environment, education environment, and cultural environment.
Deep Learning-Based Football Player Detection in Videos
Authors: Wang Tianyi , Li Tongyan
Published: July 2022

The main task of football video analysis is to detect and track players. In this work, we propose a deep convolutional neural network-based football video analysis algorithm. This algorithm aims to detect the football player in real time. First, five convolution blocks were used to extract a feature map of football players with different spatial resolution. Then, features from different levels are combined together with weighted parameters to improve detection accuracy and adapt the model to input images with various resolutions and qualities. Moreover, this algorithm can be extended to a framework for detecting players in any other sports. The experimental results assure the effectiveness of our algorithm.
Survey on Sildenafil, Tadalafil, and Vardenafil Concentrations in Food Supplements for Erectile Dysfunction
Authors: Petkova-Gueorguieva Elina , Gueorguiev Stanislav , Lebanova Hristina , Madzharov Vasil , Mihaylova Anna
Published: July 2022

The aim of the study was to analyze the presence of undeclared sildenafil, tadalafil, and vardenafil in food supplements (FSs) for erectile dysfunction. The presence of sildenafil, tadalafil, and vardenafil was determined using the generated ultraviolet (UV)-spectra and mass-spectrometry (MS)-spectra as well as chromatograms produced by the photodiode array (PDA)-detector and ion trap MS-detector. The results were processed by Xcalibur ver. 2.0.7. Fourteen of the 20 analyzed FSs contained undeclared ingredients. Sildenafil was present in 12 of them. Many violations and discrepancies between the label information and the real composition of the FS were identified. 70% of the samples contained undeclared ingredients of an erectile dysfunction medicinal product. The quantities varied within broad limits from 2 mg per tablet to 116.55 mg per tablet. Sildenafil was present in amounts exceeding 16.55 mg that is the maximum recommended dose, thus creating risk of overdose. Besides that, food supplements adulterated with sildenafil analogues are a health risk for consumer’s health as there is no evidence of modified sildenafil toxicity. All analyzed FSs were claimed to be 100% natural, not provoking side effects. No information for any FS contained indications of age limits or risk for interaction with other FSs or medical products.
A Comparative Study of Cultural and Traditional Education in Primary and Secondary Schools in Developed Countries Based on the MOPSO-CD-DNN Model
Authors: Hu Chunsen
Published: July 2022

In today’s globalization, cultural and traditional education in primary and secondary schools has become the core of a country’s future development, and how to improve the educational effect of cultural and traditional education in primary and secondary schools and find the development direction of cultural and traditional education has become the top priority. In response to this problem, this study proposes a MOPSO-CD-DNN hybrid prediction model, which introduces an optimization algorithm to optimize the parameters of the deep learning model. In this study, multiple benchmark models and evaluation methods are used for comparative research. The results show that the MOPSO-CD-DNN model has significant advantages in both prediction accuracy and prediction stability. Compared with other models, the prediction accuracy G value (average) is improved by 4.66%, 7.43%, and 9.25%, and the standard deviation (G value) is decreased by 0.001, 0.0502, and 0.0413, indicating its effectiveness and applicability to cultural tradition education. In addition, the introduction of the multiobjective optimization algorithm significantly improves the generalization ability of the model, and the prediction effect is significantly better than the single-objective optimization algorithm.
[Retracted] Study on the Impact of Chinese Comedy International Communication on the Health of Older People under Cultural Ecological Environment
Authors: Zhang Yan , Wu Wang , Wei Jie
Published: July 2022

There are many kinds of works in Chinese comedy culture, which are deeply loved by audiences at home and abroad. In order to explore the impact of the international spread of Chinese comedy culture in the ecological environment on the health of the elderly public, this study studied these elderly comedy audiences from the aspects of age, monthly income, physical health, mental health, and public stability through statistical methods. The results show that the international spread of Chinese comedy culture is conducive to the physical and mental health of the elderly public, relieves the pressure of life, and ultimately contributes to social harmony and stability.
Implementation of Block-Level Double Encryption Based on Machine Learning Techniques for Attack Detection and Prevention
Authors: Gnanavel S. , Narayana K. E. , Jayashree K. , Nancy P. , Teressa Dawit Mamiru
Published: July 2022

Cloud computing is one of the most important business models of modern information technology. It provides a minimum of various services to the user interaction and low cost (hardware and software). Cloud services are based on the newline architectures on virtualization by using the multitenancy for better resource management and newline strong isolation between several virtual machines (VMs). The spying on a victim VM is challenging, particularly when one wants to use per-core microarchitectural features as a side channel. For example, the cache contains the most potential for damaging side channels, but shared information across different cores affects the cloud information. To overcome this problem, propose the Secure Block-Level Double Encryption (SBLDE) algorithm for user signature verification in the cloud server. It uses identity-based detection techniques to monitor the colocated VMs to identify abnormal cache data and channel behaviors typically during VM data transformation. The identity-based linear classification (IBLC) method is used for classifying the attacker channel when the data is transferred/retrieved from the VM cloud server. This cloud controller finds the channel misbehavior to block the port or channel, changing other available ports’ communication. The service verification provides strong user access permission on the cloud server when the unknown request to the cloud server suddenly executes the key authentication to verify the user permission. This linear classification trains the existing side-channel attack datasets to the classifier and identifies the VM cloud’s attack channel. The study focused on preventing attacks from interrupting the system and serves as an effective means for cross-VM side-channel attacks. This proposed method protects the cloud data and prevents cross-VM channel attack detection efficiently, compared to other existing methods. In this overall proposed method, SBLDE’s performance is to be evaluated and then compared with the existing method.
Research on Multimodal Dance Movement Recognition Based on Artificial Intelligence Image Technology
Authors: Zeng Zhuo
Published: July 2022

At present, most robot dances are precompiled. Changing music requires manual adjustment of relevant parameters and metamovements, which greatly reduces the fun and intelligence. In view of the above problems, this paper designed CNN system, studied the multimodal dance movement recognition algorithm of artificial intelligence image technology, and completed the construction of a multimodal dance movement calculation system example. The results show that the CNN algorithm and the Winograd algorithm-based coprocessor-optimized CNN network in multimodal dance movement recognition with image technology reduce from a maximum of 132s to 26s in the runtime criterion, with a maximum reduction of 80%; from a maximum of 73.5% to 16.2% in the memory access criterion, with a maximum reduction of 57.3%; and from a maximum of 93.6% to 25.2% in the power consumption ratio criterion, with a maximum reduction of 68.4%. In the power consumption ratio criterion, the maximum reduction from 93.6% to 25.2% is 68.4%. The maximum accuracy of the proposed optimization method is 95.1%. The solution is proposed to address the problem of insufficient performance of traditional dance movement recognition, which will contribute to the development of artificial intelligence and dance industry.
[Retracted] Linalool Impress Colorectal Cancer Deterioration by Mediating AKT/mTOR and JAK2/STAT3 Signaling Pathways
Authors: Hou Min , Zhang Yakun , Huang Qingmei , Zhan Hongmei , Jia Tingting , Li Min , Hu Jing , Zhao Yanli
Published: July 2022

Colorectal cancer (CRC) is one of the more common causes of cancer death worldwide. Chemotherapy is effective in the treatment of CRC, but it can produce a range of adverse effects that can significantly reduce the quality of life of CRC patients. The selection of drugs that are effective in treating CRC with few adverse effects is now an important task and is aimed at prolonging the survival of patients and improving their prognosis. In this study, CRC cells were treated with linalool using CRC cell lines as the study subjects, and cell viability, apoptosis, and cell migration were observed after treatment. Previous studies have demonstrated the therapeutic effects of linalool on CRC and its ability to inhibit CRC progression by modulating the AKT/mTOR and JAK2/STAT3 pathways.
Innovative Design of a Cloud Tour Guide Robot for Smart Cities under the Principle of System Innovation Design
Authors: Du Jingjing , Salim Neesa Ameera Mohamed , Zakaria Wan Zamani Wan , Gu Yanhui , Ling Jiahui
Published: July 2022

In light of the ongoing occurrence of epidemics, the general populace frequently makes the decision to curtail their nomadic lifestyle in order to protect both their health and their safety. This has resulted in a number of issues, the most notable of which are the drop in the people’s living happiness index and the poor business that the tourism industry has been experiencing as a result. Therefore, the idea of “cloud tourism” is undoubtedly the first candidate for the tourism industry, and in order to meet the requirements of cloud tourism, it is necessary to have an entirely new system to serve this, of which the scenic guide robot is an important part. At the same time, the quickening development of 5G technology offers solutions that may be put into practice for the multifurther IoT’s expansion in smart cities. People will be able to experience the real outdoors without having to leave their homes, which will improve the people’s well-being and alleviate the chilly status quo in the tourism industry. This is the plan, and it will be accomplished through the use of innovative guide robots that will make the experience more convenient and reliable.
Marker Identification of Disc Workpiece Based on HOG-SVM Classifier
Authors: Liu Ben , Gao Feng , Zhao Pengxuan , Li Yan , Li Wenqiang
Published: July 2022

With the less humanized trend of manufacturing production line gradually progressing, real-time recording and tracking of workpieces information have become an essential way to implement efficient management. To collect and identify the workpiece marker is of great significance for product information statistics and quality traceability. Aiming at the problems of inaccurately positioning, difficultly segmenting, and slowly recognizing for capturing the marker of disc workpieces distributed circularly, this study proposes a projection segmentation algorithm based on polar coordinate inverse transformation to locate and separate the circularly arranged marker and extract the total separated characters. The features of the directional gradient histogram (HOG) of characters are used as the input of the support vector machine (SVM) model, and after training, a workpiece marker recognition classifier is obtained. The experiment results show that the recognition accuracy of markers composed of letters and numbers is over 97% by the proposed method. Our proposed method outperformed state-of-the-art approaches in achieving higher recognition accuracy rate with the SVM classifier.
Effects of Modified Jianpi Qushi Heluo Decoction on Scores of TCM Syndromes, 24 h Urinary Albumin, and Plasma Albumin in IMN of Spleen-Kidney Qi Deficiency
Authors: Wu KaiPi , Yin HongAi , Du AnMin
Published: July 2022

Objective. To explore the effects of modified Jianpi Qushi Heluo decoction on scores of TCM syndromes, 24 h urinary albumin (UA), and plasma albumin (Alb) in idiopathic membranous nephropathy (IMN) of spleen-kidney qi deficiency. Methods. A total of 84 patients with IMN of spleen-kidney qi deficiency type admitted to the hospital were enrolled between November 2019 and September 2021. According to the random number table method, they were divided into the observation group (42 cases) and control group (42 cases). The control group was treated with routine Western medicine, while the observation group was additionally treated with modified Jianpi Qushi Heluo decoction. All were continuously treated for 2 months. The clinical curative effect between the two groups was compared. Before and after treatment, scores of TCM syndromes, biochemical indexes (24 h UA, plasma Alb, serum triglyceride (TG), and serum cholesterol (TC)), and T lymphocyte subsets (Th1, Th2, Th1/Th2, and Th17) were compared between the two groups. The occurrence of adverse reactions in both groups during treatment was recorded. Results. The difference in the total response rate of treatment between the observation group and control group was not statistically significant (90.48% vs. 73.81%) (

P
>
0.05

). After 2 months of treatment, scores of TCM syndromes in the observation group were significantly lower than those in the control group, levels of 24 h UA, TG, and TC were significantly lower than those in the control group, and Alb was significantly higher than that in the control group (

P
<
0.05

). After 2 months of treatment, levels of peripheral blood Th1 and Th17 in the observation group were significantly lower than those in the control group, while Th2 and Th1/Th2 were higher than those in the control group (

P
<
0.05

). The difference in incidence of adverse reactions between the observation group and control group was not statistically significant (4.76% vs. 14.29%) (

P
>
0.05

). Conclusion. The modified Jianpi Qushi Heluo decoction can reduce UA, increase Alb, and improve clinical symptoms and immune function of patients with IMN of spleen-kidney qi deficiency.
Classification of Electrocardiography Hybrid Convolutional Neural Network-Long Short Term Memory with Fully Connected Layer
Authors: Ramachandran Dhanagopal , Kumar R. Suresh , Alkhayyat Ahmed , Malik Rami Q. , Srinivasan Prasanna , Priya G. Guga , Gosu Adigo Amsalu
Published: July 2022

Electrocardiography (ECG) is a technique for observing and recording the electrical activity of the human heart. The usage of an ECG signal is common among clinical professionals in the collection of time data for the examination of any rhythmic conditions associated with a subject. The investigation was carried out in order to computerize the assignment by exhibiting the issue using encoder-decoder techniques, creating the information that was simply typical of it, and utilising misfortune appropriation to anticipate standard or anomalous information. On a broad variety of applications such as voice recognition and prediction, the long short-term memory (LSTM) fully connected layer (FCL) and the two convolutional neural networks (CNNs) have shown superior performance over deep learning networks (DLNs). DNNs are suitable for making high points for a more divisible region and CNNs are suitable for reducing recurrence types, LSTMs are appropriate for temporary displays, in the same way as CNNs are appropriate for reducing recurrence types. The CNN, LSTM, and DNN algorithms are acceptable for viewing. The complementarity of DNNs, CNNs, and LSTMs was investigated in this research by bringing them all together under the single architectural company. The researchers got the ECG data from the MIT-BIH arrhythmia database as a result of the investigation. Our results demonstrate that the approach proposed may expressively describe ECG series and identify abnormalities via scores that outperform existing supervised and unsupervised methods in both the short term and long term. The LSTM network and FCL additionally demonstrated that the unbalanced datasets associated with the ECG beat detection problem could be consistently resolved and that they were not susceptible to the accuracy of ECG signals. It is recommended that cardiologists employ the unique technique to aid them in performing reliable and impartial interpretation of ECG data in telemedicine settings.
Medical Diagnosis Decision Based on Psychological Cognition Difference of Multistakeholder
Authors: Wei Zhen
Published: July 2022

This paper firstly reviews the achievements and existing problems of China’s government in the supervision of medical service price in public hospitals in recent years. On this basis, patient’s interests, the interests of the public hospital, medical staff perspective, analysis of the three main psychological cognitive differences’ influence on medical diagnosis strategy, and the utility of public hospital medical service price regulation are analyzed, and accordingly perfect China’s public hospital medical service price regulation suggestions are put forward. In this paper, taking a medical institution as an example, combined with the psychological cognitive differences of multi-interest theme, and through research, it is shown that the causes of influencing the unreasonable admission behavior of patients in medical institutions are as follows: first, the characteristics of vulnerable groups of patients affect the unreasonable admission behavior, mainly children and the elderly. Second, the health risk avoidance psychology drives patients to be hospitalized unreasonably, especially those with chronic diseases or those who pay attention to their own health. Third, the influence of convenience degree on unreasonable admission is relatively small. Fourth, doctor’s advice has an important influence on unreasonable admission behavior. Fifth, the medical insurance system affects the unreasonable admission behavior of patients to a certain extent.
[Retracted] Development of Novel Bio‐mulberry‐Reinforced Polyacrylonitrile (PAN) Fibre Organic Brake Friction Composite Materials
Authors: Kumar Naresh , Natrayan L. , Kasirajan G. , Kaliappan S. , Raj Kamal M. D. , Patil Pravin P. , Chewaka Muse Degefe
Published: July 2022

Natural fibre reinforcement is used in important sectors such as medical, aerospace, automobile, and many other fields. Many articles have reported that natural fibre has the potential to replace synthetic fibres. Natural fibre reinforcement has given good results as a brake friction material. It has already been proven that asbestos causes lung cancer and mesothelioma in brakes. Many people died from the effects of asbestos. According to the World Health Organization’s trending brake report, this material leads to serious health issues. This work is going on for the replacement of these materials. Mulberry fibre is a unique material, and PAN fibre is combined with mulberry fibre and used as a brake reinforcement material to replace Kevlar fibre. The brake pads were fabricated with the various wt% of mulberry fibres and PAN fibre [3–12%] with an equal ratio and aramid fibre [3–6%] in the hydraulic hind brake moulding machine. The mechanical, chemical, physical, tribological, and thermal properties were evaluated. MF‐2 [6 wt%] mulberry‐PAN‐fibre‐based brake pad composites have shown better results for ultimate shear strength and proof stress, tensile strength, compressive strength, and impact energy.
Some Functional Sections in Topological Sequence Spaces
Authors: Akdemir Ahmet Ocak , Ersoy Merve Temizer , Furkan Hasan , Ragusa Maria Alessandra
Published: July 2022

Summability is a particularly fertile field for functional analysis application. Summability through functional analysis has become one of the most fascinating disciplines since it contains both interesting and challenging issues. In this paper, we aim to introduce four new sectional properties for topological sequence spaces: sectional weakly absolute convergence (WAC), sectional weak boundedness (WB), sectional weaklyp-absolute convergenceWpAC, and sectional weakly bounded variation (WBV). We have, also, investigate some of their relations and identities.
[Retracted] A Novel Missense Mutation of Arginine Vasopressin Receptor 2 in a Chinese Family with Congenital Nephrogenic Diabetes Insipidus: X‐Chromosome Inactivation in Female CNDI Patients with Heterozygote 814A>G Mutation
Authors: Zang Li , Gong Yuping , Li Yijun , Dou Jingtao , Lyu Zhaohui , Su Xiaoqing , Zhang Yawei , Mu Yiming
Published: July 2022

Background. To identify novel clinical phenotypic signatures of congenital nephrogenic diabetes insipidus (CNDI). Methods. A Chinese family with CNDI was recruited for participation in this study. The proband and one of his uncles suffered from polydipsia and polyuria since infancy. The results of clinical testing indicated the diagnosis of CNDI. 10 family members had similar symptoms but did not seek medical advice. Genetic testing of mutations in the coding region of the aquaporin 2 (AQP2) gene and the arginine vasopressin receptor 2 (AVPR2) gene were carried out in 11 family members. Somatic DNA from 5 female family members was used to test for methylation of polymorphic CAG repeats in the human androgen receptor (AR) gene, as an index for X‐chromosome inactivation pattern (XCIP). Results. AQP2 gene mutations were not found in any family members, but a novel missense mutation (814th base A>G) in exon 2 of the AVPR2 gene was identified in 10 individuals. This mutation leads to a Met 272 Val (GAT‐GGT) amino acid substitution. Skewed X‐chromosome inactivation patterns of the normal X allele were observed in 4 females with the AVPR2 gene mutation and symptoms of diabetes insipidus, but not in an asymptomatic female with the AVPR2 gene mutation. Conclusions. Met 272 Val mutation of the AVPR2 gene was identified as a novel genetic risk factor for CDNI. The clinical NDI phenotype of female carriers with heterozygous AVPR2 mutation may be caused by X‐chromosome inactivation induced by dominant methylation of the normal allele of AVPR2 gene.
Diagnostic Value and High-Risk Factors of Two-Dimensional Ultrasonography Combined with Four-Dimensional Ultrasonography in Prenatal Ultrasound Screening of Fetal Congenital Malformations
Authors: Yu Xinyou , Liu Fang , Gao Wei , Shi Xiangrong , Lu Ruiping , Pan Lihua
Published: July 2022

Objective. This study mainly analyzes the diagnostic value of two-dimensional ultrasonography (2D-US) combined with four-dimensional ultrasonography (4D-US) in prenatal ultrasound screening of fetal congenital malformations (CMs) and explores the high-risk factors affecting fetal malformations. Methods. The clinical and imaging data of 2247 pregnant women who underwent prenatal fetal malformation screening in the General Hospital of Ningxia Medical University between February 2020 and October 2021 were collected and analyzed, retrospectively. All pregnant women underwent 2D-US, and those with suspected fetal malformations were further inspected by 4D-US. The accuracy of ultrasound examination results relative to actual pregnancy outcomes was analyzed, taking the neonatal malformation after induced labor or actual delivery as the gold standard, and the risk factors influencing the occurrence of fetal malformations were discussed. Results. A total of 87 cases (3.87%) of fetal malformations were detected out of the 2247 parturients examined. The accuracy, sensitivity, and specificity of 2D-US diagnosis were 81.40%, 43.68%, and 82.92%, respectively, while the data were 83.67%, 51.72%, and 84.95% for 4D-US, respectively, and 93.59%, 90.80%, and 93.70%, respectively, for 2D-US +4D-US. The combined diagnosis of 2D-US +4D-US achieved statistically higher accuracy, sensitivity, and specificity than either of them alone. One-way analysis of variance and multivariate logistic regression analysis identified that the independent risk factors affecting fetal malformation were

age
≥
35

, history of adverse pregnancy and childbirth, medication during pregnancy, toxic exposure during pregnancy, and history of seropositive for TORCH-IgM. Folic acid supplementation was a protective factor. Conclusions. Prenatal US is an effective approach for screening fetal malformations. 2D-US +4D-US can effectively improve the diagnostic rate of fetal malformations. For pregnant women with high-risk factors, prevention should be given priority, and prenatal screening and prenatal diagnosis should be standardized to reduce the occurrence of fetal malformations.
The Main Influencing Factors of Artificial Intelligence Big Data Sports News Coverage
Authors: Leng Zhiyu , Li Siyuan , Li Jie
Published: July 2022

Through systematic analysis and research on the reporting methods of various sports events and the status quo of data news under the background of big data, it is found that sports news reports under the background of big data have presented new reporting forms and contents. Combining the application of open source data with sports news can make good use of relevant technical forces to improve the reading efficiency of sports news. This can consolidate old audiences, attract new audiences, and maximize the promotion of various sports events, allowing more audiences to participate. After distributing 336 questionnaires, 303 were recovered. A total of 303 answer sheets met the requirements. The successful recovery rate of the questionnaire was 90.18%. Among them, 172 were male, accounting for 56.77% of the valid questionnaires; 131 were female, accounting for 43.23% of the valid questionnaires. Full-time students accounted for a relatively high proportion of the survey respondents, with a total of 130 people, accounting for 42.90% of the valid questionnaires. It can be seen that most of the people who pay attention to sports news reports are young and middle-aged groups.
TGF-β1 Induces Interlukin-11 Expression and Pro-Fibrotic Effect by DNA Demethylation in Subconjunctival Fibroblasts
Authors: Fu Shuhao , Lu Zhaozeng , Ye Wen
Published: July 2022

Objective. To assess Interlukin-11 (IL11) expression in the tears of patients after filtration surgery and to find out its pro-transdifferentiational and pro-fibrotic functions and mechanisms on subconjunctival human Tenon’s capsule fibroblasts (HTFs) induced by transforming growth factor beta1 (TGF-β1). Methods. Tears were collected from glaucoma patients with or without filtration surgery. The expression of IL11 in tears was examined by enzyme-linked immunosorbent assay. Primary HTFs were prepared as an expansion culture of human Tenon’s explants from patients undergoing cataract surgery. TGF-β1 and IL11 were used to stimulate the cultured HTFs. Quantitative RT-PCR and western blot analyzed the roles of TGF-β1 in IL11 and DNA methyltransferase (DNMT) expression and the effects of IL11 on collagen-1A1 and α-smooth muscle actin expression. The effects of IL11 on human HTFs’ migration were tested via the scratch-wound assay. MassARRAY platform of Sequenom was applied for analyzing the quantitative methylation of the IL11 promoter region. Result. Our data presented significantly high levels of IL11 in the tears of patients who underwent filtration surgery with uncontrolled intraocular pressure (IOP) compared with those who underwent filtration surgery with controlled IOP. The up-regulation of IL11 was related to TGF-β1. We also found that TGF-β induced IL11 up-regulation in the HTFs, which activates the HTFs and enhanced the translation of the pro-fibrotic protein expression. This is correlated with inhibiting the activity and expression of DNMTs and demethylating the IL11 promoter. Therefore, IL11 may be an ideal target to be regulated to control the filtering pathway scar formation.
Mullite Reinforced SiC/Al2O3 Composites Prepared by Microwave Sintering Based on Green Manufacturing
Authors: Dang Xudan , Shi Shaojie , Li Linjun , Luo Fei , Ding Zheng
Published: July 2022

In the preparation process of composites, the implementation of green manufacturing technology has an important impact on improving material properties and preparation efficiency. The adopting of green manufacturing technology not only greatly reduces the energy consumption but also effectively avoids the environmental pollution. Compared with the traditional material preparation process, the material preparation process for green manufacturing is a new concept and idea. Microwave sintering is such an efficient, clean, and pollution-free preparation process, so it is widely used in the field of material preparation. By microwave sintering, the mullite reinforced SiC/Al2O3 composites with different SiC particle size were prepared from the composite powders composed of SiC particles coated with SiO2, by a sol-gel method and Al2O3 particles. The effect of SiC particle size on the microstructure, bulk density, fracture toughness, flexural strength, and thermal shock resistance of SiC/Al2O3 composites was studied. The bulk density, fracture toughness, and flexural strength were evaluated by the Archimedes method, single-side notched beam method, and three-point bending method, respectively. The thermal shock resistance of samples was investigated through the combination of water quenching and three-point bending methods. The results showed that with the increase of SiC particle size, the bulk density, fracture toughness, and flexural strength of samples all increased first and then decreased. The bulk density, fracture toughness, flexural strength, and flexural strength retention of SiC(5 μm)/Al2O3 composites were better than those of other samples, which were 2.06 g/cm3, 1.98 MPa·m1/2, 63 MPa, and 60%, respectively. The better mechanical properties and thermal shock resistance of SiC(5 μm)/Al2O3 composites are due to the formation of bridging mullite whiskers between SiC and Al2O3 particles with large length diameter ratio. Therefore, the unique sintering mechanisms of size coupling effect and local thermal aggregation effect in microwave sintering were discussed. The research results can not only provide reference for the preparation process of mullite reinforced SiC/Al2O3 composites but also for the wide application of microwave sintering technology.
Dynamic Collaboration Model of Production Network Based on Cloud Service Bus
Authors: Zhao Yuan , Liu Shifeng
Published: July 2022

The IT system of manufacturing enterprises usually has many problems, such as complex industrial software, different development languages, diverse communication protocols, and complex operation environment. Cloud service bus (CSB) technology based on service model encapsulates various applications existing in enterprises by means of the integration of cloud service bus and micro services, which can realize the rapid cloud migration and deployment of heterogeneous industrial application software. Theoretically, after the production system is connected to CSB, it can be arranged arbitrarily by service choreography technology to produce any possible products. However, in the context of industrial Internet, the production system connected to CSB corresponds to the equipment, materials, personnel, and other resources on the production line one by one. These production nodes need to consider the production capacity and cost of production service nodes and the output value of the whole production network, and cannot be combined arbitrarily. Therefore, when integrating production service nodes, we should not only consider the technical integration, but also consider whether the production conditions support this integration. To solve the problem of production node integration in CSB, a dynamic collaboration model of production network based on cloud service bus is proposed in this paper. The model takes the capacity, cost, and production relationship of production nodes as constraints, and the overall efficiency of production network as the optimization goal. The model can calculate the new creation, modification, deletion, and other scheduling operations of production line services in real time and give the production plan with the highest resource utilization and the greatest value in the current production network. The model can improve the rationality and economy of service choreography and give full play to the value of production network. Taking an enterprise with 11 production nodes and 5 production lines as an example, this paper discusses in detail how to use this model to calculate the optimal production organization scheme and the maximum output value of the enterprise.
Identification of Ten‐Gene Related to Lipid Metabolism for Predicting Overall Survival of Breast Invasive Carcinoma
Authors: Wang Zhixing , Wang Fan
Published: July 2022

Background. Predicting the risk of poor prognosis of breast cancer is crucial to treating breast cancer. This study investigated the prognostic assessment of 10 lipid metabolism‐related genes constructed as breast cancer models based on this study. Methods. The TCGA database was used to obtain clinical information and expression data of breast cancer patients, and GSEA analysis and univariate and multivariate Cox proportional risk regression models were performed to identify lipid metabolism genes closely associated with overall survival (OS) of breast cancer patients and to construct a prognostic risk score model based on lipid metabolism gene markers. The Kaplan–Meier method was used to analyze the survival status of patients with high and low‐risk scores, and ROC curves assessed the accuracy of this risk score. Finally, the relationship between this risk score and clinicopathological characteristics of BRCA was analyzed in a stratified manner, and the validity of this risk score as an independent prognostic factor was determined using univariate and multivariate Cox regression analyses. Results. One hundred and forty‐four differentially expressed lipid metabolism‐related genes were identified in cancer and paracancerous tissues in BRCA, 21 of which were associated with overall survival (OS) in BRCA (P < 0.05). Univariate and multivariate Cox analyses revealed that age, grade, and risk score were independent prognostic factors for BRCA. Multivariate Cox regression analysis further identified APOL4, NR1H3, SLC25A5, APOL3, OSBPL1A, DYNLT1, IMMT, MAP2K6, ZDHHC8, and RAB2A lipid metabolism‐related genes as independent prognostic markers for BRCA. A prognostic risk score model was developed by labeling lipid metabolism genes with these 10 genes, and patients with BRCA with high‐risk scores in the model sample had significantly worse OS than those with low‐risk (P < 0.01). The ROC curve area (AUC) of this risk score model was 0.712. Conclusion. By mining the TCGA database, we identified 10 lipid metabolism‐related genes APOL4, NR1H3, SLC25A5, APOL3, OSBPL1A, DYNLT1, IMMT, MAP2K6, ZDHHC8, and RAB2A, which are closely related to the prognosis of BRCA patients, and constructed a prognostic risk scoring system based on 10 lipid metabolism genes tags.
Differential Quadrature Method to Examine the Dynamical Behavior of Soliton Solutions to the Korteweg-de Vries Equation
Authors: Mishra Shubham , Arora Geeta , Emadifar Homan , Sahoo Soubhagya Kumar , Ghanizadeh Afshin
Published: July 2022

Nonlinear evolution equations are crucial for understanding the phenomena in science and technology. One such equation with periodic solutions that has applications in various fields of physics is the Korteweg-de Vries (KdV) equation. In the present work, we are concerned with the implementation of a newly defined quintic B-spline basis function in the differential quadrature method for solving the Korteweg-de Vries (KdV) equation. The results are presented using four experiments involving a single soliton and the interaction of solitons. The accuracy and efficiency of the method are presented by computing the

L

2

and

L

∞

norms along with the conservational quantities in the forms of tables. The results show that the proposed scheme not only gives acceptable results but also consumes less time, as shown by the CPU for the elapsed time in two examples. The graphical representations of the obtained numerical solutions are compared with the exact solution to discuss the nature of solitons and their interactions for more than one soliton.
Systemic Sclerosis, Reversible Cerebral Vasoconstriction Syndrome, and NeuroMyelitis Optica in a Patient
Authors: Etemadifar Masoud , Shafiei Mehdi , Salari Mehri , Modares Sadeghi Ali , Fakhrolmobasheri Mohammad
Published: July 2022

Systemic sclerosis (SSC) is an autoimmune disease of connective tissue and microvasculature mostly caused by autoantibodies. Likewise, neuromyelitis optica (NMO) is a demyelinating disease of the central nervous system correlating with autoantibodies against aquapourin-4. Reversible cerebral vasoconstriction syndrome (RCVS) is a disorder of brain vasculature resembling Raynaud phenomena in SSC. Despite co-occurrence is not rare in autoimmune disorders, the co-occurrence of NMO and SSC is extremely rare. In this case, we report a 35-year-old female presenting with paraplegia one day after discharge from hospital following surgical carnioplasty. She had a history of scleroderma and optic neuritis for which she was treated with high dose glucocorticoids causing renal crisis and RCVS causing intracranial and intracerebral hemorrhage which required a craniotomy to be performed in February 2020. In her recent admission, magnetic resonance imaging of the spinal cord indicated longitudinally extensive transverse myelitis (LETM) and blood tests revealed a highly positive titer of NMO-IgG. Daily plasmapheresis resulted in satisfactory improvement in her condition. This case highlights the importance of evaluating neurologic manifestations in systemic sclerosis patients considering the NMO and RCVS occurrence. Additionally, in concomitant cases, the treatment strategy should be modified regarding the risk of scleroderma renal crisis.