bluuebunny/crossref_metadata_2025 huggingface dataset:
On a Characterization of Convergence in Banach Spaces with a Schauder Basis
Authors: Markin Marat V. , Soghomonian Olivia B.
Published: October 2021

We extend the well-known characterizations of convergence in the spaces

l

p

(

1
≤
p
<
∞

) of

p

-summable sequences and

c

0

of vanishing sequences to a general characterization of convergence in a Banach space with a Schauder basis and obtain as instant corollaries characterizations of convergence in an infinite-dimensional separable Hilbert space and the space

c

of convergent sequences.“The method in the present paper is abstract and is phrased in terms of Banach spaces, linear operators, and so on. This has the advantage of greater simplicity in proof and greater generality in applications.” Jacob T. Schwartz
Effects of Differently Located Clearance on the Dynamic Responses of a Two‐Degree‐of‐Freedom Vibration System
Authors: Yang Yan , Luo Guanwei
Published: October 2021

The mechanical model of a two‐degree‐of‐freedom forced harmonic vibration system with multiclearance rigid constraints is established, considering the location schemes of symmetrical both‐sided clearance and asymmetrical multiple clearance. Existence domains, correlative distributions, and bifurcation scenarios of periodic vibrations are analyzed using multiparameter and multiperformance cosimulation. Pattern diversity, distribution, and occurrence mechanism of the subharmonic impact motion sequences in the tongue‐shaped transition regions among the neighboring fundamental periodic motions of the vibration systems are investigated. The emergent behavior of sticking process of fundamental periodic vibration, the occurrence law of chattering‐impact motion, and the interaction of different modes of sticking are discussed. According to the sampling ranges of parameters, three multiple heterogeneous constraint conditions are explored; the effects of differently clearance location and values on the dynamic responses and the transition region of fundamental periodic vibrations and subharmonic motions are particularly analyzed. Hence, the reasonable clearance arrangement scheme and numerical optimization combination are determined and the ideal parameter domain of the vibration system is obtained.
On Behavior of the Periodic Orbits of a Hamiltonian System of Bifurcation of Limit Cycles
Authors: Menaceur Amor , Abdalla Mohamed , Idris Sahar Ahmed , Mekawy Ibrahim
Published: October 2021

In light of the previous recent studies by Jaume Llibre et al. that dealt with the finite cycles of generalized differential Kukles polynomial systems using the first- and second-order mean theorem such as (Nonlinear Anal., 74, 1261–1271, 2011) and (J. Dyn. Control Syst., vol. 21, 189–192, 2015), in this work, we provide upper bounds for the maximum number of limit cycles bifurcating from the periodic orbits of Hamiltonian system using the averaging theory of first order.
Graph Convolutional Network for Word Sense Disambiguation
Authors: Zhang Chun-Xiang , Liu Rui , Gao Xue-Yao , Yu Bo
Published: October 2021

Word sense disambiguation (WSD) is an important research topic in natural language processing, which is widely applied to text classification, machine translation, and information retrieval. In order to improve disambiguation accuracy, this paper proposes a WSD method based on the graph convolutional network (GCN). Word, part of speech, and semantic category are extracted from contexts of the ambiguous word as discriminative features. Discriminative features and sentence containing the ambiguous word are used as nodes to construct the WSD graph. Word2Vec tool, Doc2Vec tool, pointwise mutual information (PMI), and TF-IDF are applied to compute embeddings of nodes and edge weights. GCN is used to fuse features of a node and its neighbors, and the softmax function is applied to determine the semantic category of the ambiguous word. Training corpus of SemEval-2007: Task #5 is adopted to optimize the proposed WSD classifier. Test corpus of SemEval-2007: Task #5 is used to test the performance of WSD classifier. Experimental results show that average accuracy of the proposed method is improved.
Reversing Postcardiopulmonary Bypass Associated Cognitive Dysfunction Using k-Opioid Receptor Agonists to Regulate Microglial Polarization via the NLRP3/Caspase-1 Pathway
Authors: Song Pei , Yi Zhuo , Fu Yiji , Song Dandan , Chen Keyan , Zheng Jingjing , Sun Yingjie , Diao Yugang
Published: October 2021

Cardiopulmonary bypass (CPB) is mainly used during cardiac surgeries that treat ischemic, valvular, or congenital heart disease and aortic dissections. The disorders of central nervous system (CNS) that occur after cardiopulmonary bypass are attracting considerable interest. Postoperative neurocognitive disorders (PND) have been reported as the leading cause of patients’ disability and death following CPB. The k-opioid receptor (KOR) agonists (U50488H) have been suggested to be vital in the treatment of surgically induced CNS neuroinflammatory responses. In this article, the transitions between the M1 and M2 microglial polarization state phenotypes were hypothesized to significantly affect the regulatory mechanisms of KOR agonists on postcardiopulmonary bypass (post-CPB) neuroinflammation. We investigated the effects of U50488H on neuroinflammation and microglia polarization in rats exposed to CPB and explored the method of the NLRP3/caspase-1 pathway. Thirty SD rats were randomly divided into three groups: sham operation group, cardiopulmonary bypass model group, and CPB+ k-opioid receptor agonist (U50488H) group, with ten rats in each group. The Morris water maze was used to evaluate the changes in the cognitive function of CPB rats. Hematoxylin and eosin (HE) staining and TUNEL were performed to assess the rats’ hippocampal damage. Enzyme-Linked Immunosorbent Assay (ELISA) was used to detect changes in brain injury markers and inflammatory factors. Furthermore, immunofluorescence was used to observe the expression of microglia polarization and NLRP3 followed by Western blots to detect the expression of the NLRP3/caspase-1 pathway and microglia polarization-related proteins. Rat microglia were cultured in vitro, with LPS stimulation, and treated with U50488H and a caspase-1 antagonist to evaluate the effects and mechanism of action of U50488H. KORs alleviated hippocampal damage caused by CPB and improved PND. CPB activated the NLRP3 inflammasome and upregulated pro-caspase-1 expression which promoted the expression of pro-IL-lβ and pro-IL-18 and resulted in increased inflammation. However, KORs also inhibited NLRP3 and transformed microglia from the M1 to the M2 state. Caspase-1 inhibitor treatment reduced the microglial polarization induced by KORs. The κ-opioid receptor agonists inhibited the inflammation mediated by microglia and improved PND through the NLRP3/caspase-1 signaling pathway.
Application of the Tax Policy in the Free-Trade Zone Based on Big Data and Internet of Things Technology
Authors: Deng Hui , Xie Dongwen
Published: October 2021

With the development of the Internet of Things and big data technologies and the rise of smart cities, more and more Internet of Things and big data technologies are applied in the economic field, and the construction of the Shanghai Pilot Free-Trade Zone will be important for my country’s follow-up construction of free-trade zones and the whole country. Its economic development strategy has a significant impact, and it has also become a hot spot for domestic and foreign research. Among them, the use of big data and the Internet of Things application of the free-trade zone tax policy system for research cannot be ignored. This article puts forward the literature in the process of writing research method, quantitative research method, and case research method. We used the literature research method to study the theory of big data and tax informatization, used the quantitative research method to conduct data statistics on the tax system of the free-trade zone to understand the information construction of the tax authority, and used the case study method to realize the “data quality monitoring platform.” Taxation informatization management in turn brings enlightenment and suggestions for big data to promote the taxation informatization construction of the free-trade zone. A total of 2,854 samples of tax data were extracted from the system of the State Taxation Bureau of a certain district using SQL statements, when the tax burden rate threshold value selected by the nodes of the tax burden discrimination decision tree for all industries is 2.23%, through experiments, various tax collection, and management. The work has achieved ideal results, providing a more scientific and persuasive argument for the proposal of countermeasure research.
Modeling and Simulation of Combined Heat and Mass Transfer in Zeolite SAPO‐34 Coating for an Adsorption Heat Pump
Authors: Amari Imen , Chahbani M. H.
Published: October 2021

Heat and mass transfers inside an adsorbent bed of an adsorption heat pump (AHP) are considered poor; consequently, they can cause low system performance. They should be enhanced so as to increase the coefficient of performance of the cooling machine. The aim of this work is to study an adsorbent bed coated with the zeolite SAPO‐34. A simulation model based on governing equations for energy, mass, and momentum transfers is developed using COMSOL Multiphysics software. The system zeolite SAPO‐34/water has been considered. Modeling results are validated by experimental database available at the Institute for Advanced Energy Technologies “Nicola Giordano,” Italy. It has been shown that the adsorption heat pump performance is affected by both heat and mass transfer. The enhancement of heat transfer solely is not sufficient to attain high values of specific cooling power. In the case of water vapor/SAPO‐34 pair, mass transfer has a significant impact on the duration of the cooling step which should be shortened if one would want to increase the specific cooling power. The sole way to do it is to enhance mass transfer inside porous adsorbent.
Effects of ShenLing BaiZhu San Supplementation on Gut Microbiota and Oxidative Stress in Rats with Ulcerative Colitis
Authors: Gu Daxing , Zhou Shanshan , Yao Lili , Tan Ying , Chi Xingzi , Shi Dayou , Guo Shining , Liu Cui
Published: October 2021

The aim of this study was to evaluate the effect of gut microbiota and antioxidation of Shenling Baizhu San (SLBZS) as a supplement in a rat model of ulcerative colitis (UC) induced by 2,4,6-trinitrobenzenesulfonic acid (TNBS). Acute intestinal inflammation was induced in 40 male SD rats aged 4 weeks with 100 mg/kg TNBS, and then three dosages of SLBZS (0.5 g/kg, 1 g/kg, and 1.5 g/kg) were administered for eight days, respectively. Faecal microbiome composition was assessed by 16S rRNA high-throughput sequencing. The result indicated that SLBZS could reduce the diversity of gut microbiota and increased its abundance. At the genus level, the relative abundance of SCFAs producing bacteria including Prevotella and Oscillospira increased, while the relative abundance of opportunistic pathogens including Desulfovibrio and Bilophila decreased. Meanwhile, SLBZS could improve the lesions of colon and significantly reduce the level of MPO, increase the levels of SOD and CAT in rats’ serum. These findings revealed that SLBZS was effective and possessed anticolitic activities in a rat model of UC by reducing macroscopical and microscopical colon injury, enhancing antioxidant capacity, and regulating gut microbiota.
A Meta-Analysis on Evaluation of Nosocomial Infections Amongst Patients in a Tertiary Care Hospital
Authors: Zhang Baozhi , Wu Xiao Ling , Li Ruiping
Published: October 2021

Background. Hospital-acquired infections, also known as nosocomial infections, are one of the many severe outcomes amongst patients in tertiary care hospitals. Hospital-acquired influenza is amongst the most common infection which has affected huge population. Objective. We have performed a meta-analysis in order to summarize the effects of epidemiology and clinical characteristics in HAI. Methods. We performed literature review with help of PubMed, Cochrane Library, Embase, Scopus, Web of Science, China National Knowledge Infrastructure (CNKI), The Global Index Medicus (GIM), and other clinical databases till 2021. Many random models were used in order to obtain pooled proportions, mean difference, odds ratio, and CI. Results. A total of six studies were analyzed, where a total of 491 nosocomial and 4030 nonnosocomial infection cases were reported. The odds ratio of mortality was 0.02 with 95% CI and the risk ration for males was 1.08 with 95% CI. Conclusion. The proportion of nosocomial infections in cases of influenza was higher in patients admitted in tertiary care hospitals. Thus, a surveillance system for vaccination for all the high-risk patients must be made mandatory.
Data Mining Technology in Book Copyright Information Management Decision System
Authors: Lifang Song
Published: October 2021

Today is an era of data “big bang”; Internet information technology is widely used in various fields of society. As an indispensable spiritual food in people’s daily life, books are increasing in number and scale. In order to better manage book information, people have introduced data mining technology. Based on this, this article takes the research and application of data mining technology in book copyright information management decision-making system as the theme, explores the role of data mining technology in book copyright information management, and aims to provide reference for our country’s book copyright information management and decision-making. This article first introduces the common algorithms of data mining technology and then elaborates on the advantages and effectiveness of the association rule method in data mining. Aiming at some defects of the original Apriori algorithm of the association rule method, an improved Apriori algorithm is proposed. After taking the library book information management system and database of a university in our province as the experimental research object, the performance gap between the two algorithms is compared through experiments, and it is concluded that when the number of transaction set item records is less than 1400, the Apriori algorithm performs better, and when the number of records in the transaction set is greater than 1400, the improved Apriori algorithm is obviously more advantageous. The research results show that the introduction and application of data mining technology make the information management of books more efficient and convenient, and it is more convenient for the management and decision-making of book copyright information.
[Retracted] Application of Intelligent Optimization Technology for Territorial Spatial Planning Based on Edge Network
Authors: Mei Yu
Published: October 2021

As a new type of planning after the national sectoral adjustment, there is an overall lack of methodological research on the preparation of territorial spatial planning, and scholars mainly focus on the endowment of natural resources themselves, using traditional statistics, spatial and survey data and statistical analysis, spatial analysis and inductive deduction to statically evaluate the spatial carrying capacity and suitability of the national and provincial level and to make a static evaluation of ecological red line, basic farmland protection line, and The existing studies, however, have not taken into account the human and the environment. However, the existing studies seldom consider the dynamic impact of human activities on the spatial utilization of national land and lack scientific arrangement of ecological space, agricultural space, and urban space under the new development trend. This paper introduces big data that can directly reflect the spatial and temporal changes of human activities and discusses the direction and specific methodological framework of edge network‐based optimization technology from four aspects: spatial suitability evaluation, ecological spatial planning, agricultural spatial planning, and urban spatial planning, emphasizing that “natural space” + “socio‐economic activities” are mutually beneficial. The scientific path of territorial spatial planning under the interaction of “natural space” + “socio‐economic activities” is emphasized.
The Effect of Needle Tract Nursing Methods to Reduce Needle Tract Infection in Patients with Indwelling Percutaneous Bone Puncture
Authors: Li Weichao , Liu Qiongshan
Published: October 2021

Percutaneous bone piercing needles are used in orthopedics, which play the role of needle fixation. Needle tract infection is a common complication during the use of percutaneous bone needles. How to prevent needle tract infection is an important topic, so it is necessary to explore better needle tract care methods during percutaneous bone needle indwelling, to provide a basis for clinical work. Based on this, the purpose of this article is to study the effects of needle tract nursing methods for patients with indwelling percutaneous bone puncture needle infections. In this article, through an overview of percutaneous bone needle tract infection, on this basis, a detailed analysis of its occurrence, causes, and main influencing factors are carried out. Experimental studies have shown that the incidence of needle tract infections is 23.64%, mainly mild needle tract infections. Mild needle tract infections account for 84.62% of all needle tract infections, of which grade 1 needle tract infections account for 50.00 of mild needle tract infections. Severe needle tract infections accounted for 15.38% of all needle tract infections. All severe needle tract infections were grade 4 needle tract infections. No patients had bone infections or osteomyelitis.
Atrioventricular Conduction Abnormalities in Multisystem Inflammatory Syndrome in Children
Authors: Carmona Carlos A. , Levent Fatma , Lee Kelvin , Trivedi Bhavya
Published: October 2021

Cardiac manifestations in multisystem inflammatory syndrome in children (MIS-C) can include coronary artery aneurysms, left ventricular systolic dysfunction, and electrocardiographic disturbances. We report the clinical course of three children with MIS-C while focusing on the unique considerations for managing atrioventricular conduction abnormalities. All initially had normal electrocardiograms but developed bradycardia followed by either PR prolongation or QTc elongation. Two had mild left ventricular ejection fraction dysfunction prior to developing third-degree heart block and/or a junctional escape rhythm; one had moderate left ventricular systolic dysfunction that normalized before developing a prolonged QTc. On average, our patients presented to the hospital 4 days after onset of illness. Common presenting symptoms included fevers, abdominal pain, nausea, and vomiting. Inflammatory and coagulation factors were their highest early on, and troponin peaked the highest within the first two days; meanwhile, peak brain-natriuretic peptide occurred at hospital days 3-4. The patient’s lowest left ventricular ejection fraction occurred at days 5-6 of illness. Initial electrocardiograms were benign with PR intervals below 200 milliseconds (ms); however, collectively the length of time from initial symptom presentation till when electrocardiographic abnormalities began was approximately days 8-9. When comparing the timing of electrocardiogram changes with trends in c-reactive protein and brain-natriuretic peptide, it appeared that the PR and QTc elongation patterns occurred after the initial hyperinflammatory response. This goes in line with the proposed mechanism that such conduction abnormalities occur secondary to inflammation and edema of the conduction tissue as part of a widespread global myocardial injury process. Based on this syndrome being a hyperinflammatory response likely affecting conduction tissue, our group was treated with different regimens of intravenous immunoglobulin, steroids, anakinra, and/or tocilizumab. These medications were successful in treating third-degree heart block, prolonged QTc, and a junctional ectopic rhythm.
[Retracted] Influencing Factors of Microlecture on the Teaching Effect of Ideological and Political Courses in Colleges
Authors: Jin Yuqian
Published: October 2021

Microlecture has the characteristics of single topic, easy to learn, convenient sharing, and real‐time interaction. Whether these characteristics are conducive to enhancing the effect of ideological and political teaching in colleges is the focus of this paper. We have constructed the influence factor model of microlecture on ideological and political teaching effect in colleges. Through questionnaire survey and empirical analysis, we verify the four characteristics of microlecture. The results show that in microlecture teaching, single topic, easy to learn, and sharing convenience are the main factors to enhance the teaching effect of ideological and political course in colleges, while real‐time interaction had no significant effect. Our study has enriched the literature of microlecture in ideological and political teaching and confirmed that microlecture can improve the teaching effect of ideological and political courses in colleges. Based on the research results, we propose the following recommendations: (1) in ideological and political teaching, recorded microlecture should concentrate on a single topic as far as possible, and the time of microlecture should be controlled to be shorter; (2) since students believe that microlecture make their study easier and share convenience, universities should consider promoting this mode in ideological and political teaching.
Actor Critic Neural Network-Based Adaptive Control for MEMS Gyroscopes Suffering from Multiresource Disturbances
Authors: Jing Chao , Qiao Gangzhu
Published: October 2021

In this paper, an actor critic neural network-based adaptive control scheme for micro-electro-mechanical system (MEMS) gyroscopes suffering from multiresource disturbances is proposed. Faced with multiresource interferences consisting of parametric uncertainties, strong couplings between axes, Coriolis forces, and variable external disturbances, an actor critic neural network is introduced, where the actor neural network is employed to estimate the packaged disturbances and the critic neural network is utilized to supervise the system performance. Hence, strong robustness against uncertainties and better tracking properties can be derived for MEMS gyroscopes. Aiming at handling the nonlinearities inherent in gyroscopes without analytically differentiating the virtual control signals, dynamic surface control (DSC) rather than backstepping control method is employed to divide the 2nd order system into two 1st order systems and design the actual control policy. Moreover, theoretical analyses along with simulation experiments are conducted with a view to validate the effectiveness of the proposed control approach.
Magnetic Resonance Imaging Image Segmentation under Edge Detection Intelligent Algorithm in Diagnosis of Surgical Wrist Joint Injuries
Authors: Li Zhongyi , Ji Xi
Published: October 2021

Background. Wrist joint injury refers to the injury of the wrist joint caused by excessive stretching of the ligaments and joint capsules around the joint caused by indirect violence. The tissue structure of the wrist joint is complex, and the clinical diagnosis effect is poor. Methods. The purpose of this study was to improve the diagnostic accuracy of wrist joint injuries and provide evidence for imaging analysis and automatic diagnosis of lesions in patients with wrist joint injuries. The Canny algorithm was adopted to extract the edge features of the patient’s magnetic resonance imaging (MRI) image, and the particle swarm optimization-support vector machine (PSO-SVM) algorithm was applied to segment the lesion. The image processing effect of the algorithm was evaluated by taking peak signal to noise ratio (PSNR), mean square error (MSE), figure of merit (FOM), and structural similarity (SSIM) as indicators. The accuracy, sensitivity, specificity, and Dice similarity coefficient of the algorithm were analyzed to evaluate the diagnostic accuracy in WJI. Results. Compared with the Gradient Vector Flo (GVF) algorithm and the Elastic Automatic Region Growing (ERG) algorithm, the edge stability of the PSO-SVM algorithm was stable above 0.9. After the quality of images processed using different algorithms was analyzed, it was found that the PSNR of the PSO-SVM algorithm was 26.891 ± 5.331 dB, the MSE was 0.0014 ± 0.0003, the FOM was 0.8832 ± 0.0957, and the SSIM was 0.9032 ± 0.0807. The four indicators were all much better than those of the GVF algorithm and the EARG algorithm, showing statistically obvious differences (

P

 < 0.05). Analysis on diagnostic accuracy of different algorithms for WJI suggested that the diagnostic accuracy of the PSO-SVM algorithm was 0.9413, the sensitivity was 0.9129, the specificity was 0.9088, and the Dice similarity coefficient was 0.8715. The four indicators all showed statistically great difference compared with those of the GVF algorithm and the EARG algorithm (

P

 < 0.05). Conclusions. The PSO-SVM algorithm showed excellent edge detection performance and higher accuracy in the diagnosis of WJI, which can assist clinicians in the clinical auxiliary diagnosis of WJI.
Can Antinuclear Antibodies (ANA) be Monoclonal?
Authors: Biederman Laura , Satoskar Anjali A. , Doraiswamy Mohankumar , Parikh Samir , Rovin Brad , Mussio Brian , Mikhalina Galina , Brodsky Sergey V.
Published: October 2021

Background. Nuclear staining by immunofluorescence in a kidney biopsy is often seen in patients with positive antinuclear antibodies (ANA) in the serum. These ANA are usually polyclonal, but herein we report 9 cases with an unusual finding of monoclonal nuclear staining by immunofluorescence on kidney biopsy. Case Presentation. Nine cases with predominant stain for kappa or lambda light chain were identified by searching the renal pathology laboratory database for the past 10 years. All cases had positive stain for only kappa (six cases) or lambda (three cases) light chain in the nuclei. Eight out of nine cases had positive nuclear IgG stain, and one case had positive nuclear IgA stain. Among cases with positive nuclear IgG staining, six cases were positive for IgG1 subclass, one case was positive for IgG2 subclass, and one case was positive for IgG3 subclass. All patients with positive IgG nuclear stain, who had testing for ANA, had positive ANA. Patients with positive IgG1 subclass did not have monoclonal protein in the serum or urine, but the patient with positive IgG2 subclass and lambda light chain stain in the nuclei had IgG lambda monoclonal gammopathy. Conclusions. We identified a new unique pattern of nuclear stain by immunofluorescence in kidney biopsies that suggests the presence of monoclonal ANA. Workup for underlying monoclonal gammopathy is warranted in such patients.
A 56-Year-Old Woman with Chronic Hepatitis C Liver Disease and Meningitis due to Streptococcus equi subsp. Zooepidemicus
Authors: Klapa Sebastian , Grefer Jochen , Sobottka Ingo , Kurowski Volkhard
Published: October 2021

Streptococcus equi subsp. zooepidemicus (S. equi subsp. zooepidemicus), which carries the Lancefield group C antigen, is an uncommon human pathogen. It is considered an opportunistic commensal of the equine upper respiratory tract and causes invasive infections in immunocompromised hosts, following close contact to infected horses. Meningitis caused by S. equi subsp. zooepidemicus is a rare infectious disease with high rates of complications. We present the case of a 56-year-old female with acutely altered mental status following three days of fever and vomiting. For several months, she was taking care of horses. The most relevant preexisting illnesses were chronic hepatitis C infection and traumatic paraplegia due to spinal cord injury 30 years ago. Laboratory evaluation on admission revealed leukocytosis, hyponatremia, and elevated C-reactive protein. Cerebral CT scan showed diffuse cerebral edema. Whereas cerebrospinal fluid real-time PCR assay for common pathogens was negative, cultures showed S. equi subsp. zooepidemicus. She recovered fully after intravenous administration of ceftriaxone for four weeks. This is one of only few reported cases of S. equi subsp. zooepidemicus meningitis and the first case in chronic hepatitis C infection. Our case supports the necessity for extended microbiological examination especially in immunocompromised patients if PCR examination for common pathogens is negative.
Design of Chinese-English Wireless Simultaneous Interpretation System Based on Speech Recognition Technology
Authors: Liu Fengzhen
Published: October 2021

A Chinese-English wireless simultaneous interpretation system based on speech recognition technology is suggested to solve the problems of low translation accuracy and a high number of ambiguous terms in current Chinese-English simultaneous interpretation systems. The system’s general structure and hardware architecture are summarized. The chairman unit, representative unit, transliteration unit, and auditing unit are the four basic components of the simultaneous interpretation system. The CPU is the nRF24E1 hardware wireless radio frequency transceiver chip, while the chairman machine, representative machine, translator, and auditorium are all created separately. Speech recognition technology is used by the system software to create a speech recognition process that properly produces speech-related semantics. The input text is used as the search criteria, a manual interactive synchronous translation program is created, and the results for the optimum translation impact are trimmed. The experimental findings reveal that this system’s sentence translation accuracy rate is 0.9–1.0, and the number of ambiguous terms is minimal, which is an improvement on previous systems’ low translation accuracy.
Fetal Heart Rate Extraction Based on Wavelet Transform to Prevent Fetal Distress In Utero
Authors: Zhu Mengni , Liu Liping
Published: October 2021

In order to improve the effective extraction of fetal heart rate and prevent fetal distress in utero, a study of fetal heart rate feature extraction based on wavelet transform to prevent fetal distress in utero was proposed. This paper adopts a fetal heart rate detection method based on the maximum value of the binary wavelet transform modulus. The method is simulated by the Doppler fetal heart signal obtained from the clinic. Compared with the original curve, the transformed curve can roughly see the change rule of the original signal and identify the peak point of the signal, but due to the large disturbance of the peak point, the influence on the computer processing is also great. The periodicity of the transformed signal is greatly enhanced, making it easier to deal with the computation. A total of 300 pregnant women with full-term fetal heart monitoring from January 2018 to January 2020 were selected as the research subjects and divided into the observation group and the control group. The observation group consisted of 100 patients with abnormal fetal heart monitoring, and the control group consisted of 200 patients with normal fetal heart monitoring. The uterine contractions and fetal heart rate were recorded, and the incidence of fetal distress, cesarean section, neonatal asphyxia, and amniotic fluid and fecal contamination were observed. The incidence of fetal distress, cesarean section, neonatal asphyxia, and amniotic fluid fecal stain in the observation group were significantly higher than those in the control group. Fetal heart monitoring can accurately judge the situation of the fetus in pregnant women and timely diagnose the abnormal fetal heart rate, which has a better effect on the prognosis of perinatal infants and can reduce their mortality. It can effectively solve the problems existing in the autocorrelation algorithm and extract the fetal heart rate more accurately. It is an effective improved scheme of fetal heart rate extraction. It is very helpful in preventing fetal distress in utero.
Access Control beyond Authentication
Authors: Junquera-Sánchez Javier , Cilleruelo Carlos , De-Marcos Luis , Martinez-Herráiz José-Javier
Published: October 2021

Nowadays, the Zero Trust model has become one of the standard security models. This paradigm stipulates as mandatory the protection of each endpoint, looking for providing security to all the network. To meet this end, it is necessary to guarantee the integrity of the access control systems. One possibility for bringing security to the different endpoints is continuous authentication, as an access control system. Continuous authentication is the set of technologies capable of determining if a user’s identity remains in time; whether he is the legitimate user (i.e., the only one who should know the secret credentials) or the identity has been impersonated by someone else after the authentication’s process was completed. Continuous authentication does not require the active participation of the user. Aiming to identify the different technologies involved in continuous authentication’s implementations, evaluation methods, and its use cases, this paper presents a systematic review that synthesizes the state of the art. This review is conducted to get a picture about which data sources could allow continuous authentication, in which systems it has been successfully implemented, and which are the most adequate ways to process the data. This review also identifies the defining dimensions of continuous authentication systems.
Cognitive Matching of Design Subjects in Product Form Evolutionary Design
Authors: Zhang Shutao , Wang Shijie , Zhou Aimin , Liu Shifeng , Su Jianning
Published: October 2021

In actual product development, the cognitive differences between users and designers make it difficult for the designed products to be recognized by users. To reduce the cognitive differences between these two design subjects, this paper proposes a method of cognitive matching of the design subjects. First, we use the relevant methods of Kansei engineering to quantify the Kansei image cognition of the two design subjects and construct a cognitive matching model of the design subjects with information entropy and the technique for order preference by similarity to ideal solution (TOPSIS). Second, according to the Kansei image, the Kansei image prototype cluster is constructed, and the representative Kansei image prototype is obtained. Then, we combine an artificial neural network (ANN) with a cognitive matching model of the design subjects to construct a product Kansei image evaluation system; this is used to evaluate the evolved forms. Finally, a product Kansei image form evolution system is constructed based on the genetic algorithm (GA). To some extent, the system simulates the cognitive matching process between designers and users in product design, helps designers to more accurately understand the cognitive trends of the two design subjects, and provides a theoretical basis for the intelligent design of product forms through the cognitive balance of multiple design subjects. This paper takes a beverage bottle as an example to verify the feasibility of the model through a comparative study.
Influence of Sports Intervention Based on K-Center Algorithm on Adolescent Obesity Metabolism and Bone Quality
Authors: Wu Fengyu , Li Li , Zhao Guowei , Li Zhipeng
Published: October 2021

In order to enable obese adolescents to increase muscle content, base metabolism, etc., aerobic training is used reduce body fat and then improve body components, health physique indicators, and physical fitness. This paper adopts the current situation for research and model construction through the K-center algorithm. The results show that 10 min swimming movement increased the adolescent patients’ level of brain metabolism, and with no less than 15 min, the CI value rose to 41, the increase in brain metabolism in adolescents, and the rate of fat combustion effectively increased. It is guaranteed that physical health prevents the occurrence of obese syndrome diseases. Sports training can not only increase the skinny weight of the teen obese population but also reduce body fat content, which has a significant assistance to body type, is a high-cost performance, and has comprehensive training means.
Land Circulation, Scale Operation, and Agricultural Carbon Reduction Efficiency: Evidence from China
Authors: Song Haonan , Jiang Hui , Zhang Shiyun , Luan Jingdong
Published: October 2021

Based on the panel data of 30 Chinese province in 2005–2018, this paper quantifies agricultural carbon reduction efficiency (CRE), using the slack-based measure (SBM)-data envelopment analysis (DEA) model with undesired outputs (SBM-DEA∗), and empirically tests that development of land circulation market directly affects agricultural CRE, and indirectly affects agricultural CRE via scale operation of farmland. The results show that the following: (1) In the observation period, China’s agricultural CREs generally evolved from a low level to a high level, with an annual growth rate of 8.0%, but there is still a large space of carbon reduction. (2) Overall, land circulation significantly promoted agricultural CRE, but the promoting effect varied from region to region: the promoting effect was significant in eastern and central regions, and insignificant in western region. (3) Scale operation of farmland had a nonlinear, partial mediation effect on how land circulation influences agricultural CRE; land circulation greatly accelerated the scale operation of farmland, while the growing scale of farmland utilization had an inverted U-shaped influence on agricultural CRE. Our research results imply that promoting land circulation directly drives the low-carbon transformation of agriculture in China, but excessive scale operation of farmland might hinder agricultural carbon reduction.
Scapular Angiomatoid Fibrous Histiocytoma with EWSR1-CREB1 Fusion in an Adult Patient
Authors: Kobayashi Hiroshi , Makise Naohiro , Shinozaki-Ushiku Aya , Ishibashi Yuki , Ikegami Masachika , Kohsaka Shinji , Ushiku Tetsuo , Oda Katsutoshi , Miyagawa Kiyoshi , Aburatani Hiroyuki , Mano Hiroyuki , Tanaka Sakae
Published: October 2021

Background. Angiomatoid fibrous histiocytoma (AFH) is a rare intermediate malignant tumor that arises mainly in soft tissues, especially in the superficial extremities of patients younger than 30 years. There have been a few reports of AFH arising from sites other than soft tissue, including bone, and unusual site and age make it difficult to diagnose this rare tumor. Case Presentation. Here, we present a case of a 54-year-old man who was examined for chest pain, and computed tomography (CT) incidentally detected a bone tumor at the scapula with destruction of cortical bone and invasion into soft tissue. Magnetic resonance imaging revealed multiple cystic components with fluid-fluid levels. FDG-PET showed uptake at the axillary lymph node. The CT-guided needle biopsy revealed spindle cell sarcoma on histopathology. After neoadjuvant chemotherapy, a scapulectomy was performed. The final postresection histopathological diagnosis was the same as the preoperative diagnosis, and no obvious chemotherapeutic effect was observed. Next-generation sequencing of RNA isolated from paraffin-embedded tumor tissue revealed that these lesions harbored the EWSR1-CREB1 fusion gene, and the tumor was diagnosed as AFH. C-reactive protein level, which was elevated preoperatively, decreased after the operation, and there was no recurrence or metastasis 5 years after the treatment. Conclusion. The diagnosis of AFH is difficult when the tumor has an atypical presentation. Comprehensive genomic analysis, especially RNA sequencing, is efficient in diagnosing this rare tumor. Moreover, magnetic resonance imaging findings identical to AFH in soft tissue, the presence of paraneoplastic symptoms such as elevated inflammatory markers, and lymph node swelling were clues towards suspecting this tumor.
Retinal and Choroidal Changes in Children with Moderate-to-High Hyperopia
Authors: Qian Yu , Ma Yingyan , Lin Qiurong , Xiang Zhaoyu , Qiang Jun , Xu Yan , Zou Haidong
Published: October 2021

Purpose. This study aimed to investigate the characteristics of retinal nerve fiber layer (RNFL) thickness, ganglion cell layer (GCL) thickness, and choroidal thickness in children with moderate-to-high hyperopia (MHH). Methods. This was a cross-sectional study that enrolled 53 children with MHH and 53 emmetropic children. Subjects with a spherical equivalent refraction (SER) of +4.0 D or higher were included in the MHH group, and subjects with SER between −1.0 D and +1.0 D were included in the emmetropic group. Ophthalmic examinations, including uncorrected visual acuity, cycloplegic refraction, slit-lamp examination, axial length, and swept-source optical coherence tomography (SS-OCT; DRI OCT Triton-1, Topcon, Tokyo, Japan), were performed. Results. The RNFL and GCL in the temporal and inferior quadrants in 1–3 mm of the macular fovea were thinner in the MHH group than in the emmetropic group (all

P
<
0.05

). The MHH group also had a thicker choroidal thickness in all regions (all

P
<
0.05

). The SER was independently correlated with the average choroidal thickness in the optic disc and fovea (coefficient = 4.853,

P
<
0.001

for the optic disc; coefficient = 5.523,

P
=
0.004

for the fovea), while axial length was negatively correlated with choroidal thickness (coefficient = −12.649,

P
<
0.001

). Axial length was positively associated with RNFL and GCL thickness in the temporal quadrant in 1–3 mm of the macular fovea (coefficient = 0.966,

P
=
0.007

for RNFL and coefficient = 1.476,

P
=
0.011

for the macular fovea). Conclusion. Compared with emmetropic children, MMH children had greater choroidal thickness. The characteristics of the RNFL and GCL thickness in MMH children were different from those in emmetropic children.
On Fuzzy Fixed-Point Results in Complex Valued Extended b-Metric Spaces with Application
Authors: Shammaky Amnah Essa , Ahmad Jamshaid , Sayed Abdelhamied Farrag
Published: October 2021

The aim of this paper is to define fuzzy contraction in the context of complex valued extendedb-metric space and prove fuzzy fixed-point results. Our results improve and extend certain recent results in literature. Moreover, we discuss an illustrative example to highlight the realized improvements. As application, we derive fixed-point results for multivalued mappings in the setting of complex valued extendedb-metric space.
Circulating and Myocardial Cytokines Predict Cardiac Structural and Functional Improvement in Patients With Heart Failure Undergoing Mechanical Circulatory Support
Authors: Diakos Nikolaos A. , Taleb Iosif , Kyriakopoulos Christos P. , Shah Kevin S. , Javan Hadi , Richins Tyler J. , Yin Michael Y. , Yen Chi‐Gang , Dranow Elizabeth , Bonios Michael J. , Alharethi Rami , Koliopoulou Antigone G. , Taleb Mariam , Fang James C. , Selzman Craig H. , Stellos Konstantinos , Drakos Stavros G.
Published: October 2021

Background

Recent prospective multicenter data from patients with advanced heart failure demonstrated that left ventricular assist device (LVAD) support combined with standard heart failure medications, induced significant cardiac structural and functional improvement, leading to high rates of LVAD weaning in selected patients. We investigated whether preintervention myocardial and systemic inflammatory burden could help identify the subset of patients with advanced heart failure prone to LVAD‐mediated cardiac improvement to guide patient selection, treatment, and monitoring.

Methods and Results

Ninety‐three patients requiring durable LVAD were prospectively enrolled. Myocardial tissue and blood were acquired during LVAD implantation, for measurement of inflammatory markers. Cardiac structural and functional improvement was prospectively assessed via serial echocardiography. Eleven percent of the patients showed significant reverse remodeling following LVAD support (ie, responders). Circulating tumor necrosis factor alpha, interleukin (IL)‐4, IL‐5, IL‐6, IL‐7, IL‐13, and interferon gamma were lower in responders, compared with nonresponders (
P
<0.05, all comparisons). The myocardial tissue signal transducer and activator of transcription‐3, an inflammatory response regulator, was less activated in responders (
P
=0.037). Guided by our tissue studies and a multivariable dichotomous regression analysis, we identified that low levels of circulating interferon gamma (odds ratio [OR], 0.06; 95% CI, 0.01–0.35) and tumor necrosis factor alpha (OR, 0.05; 95% CI, 0.00–0.43), independently predict cardiac improvement, creating a 2‐cytokine model effectively predicting responders (area under the curve, 0.903;
P
<0.0001).

Conclusions

Baseline myocardial and systemic inflammatory burden inversely correlates with cardiac improvement following LVAD support. A circulating 2‐cytokine model predicting significant reverse remodeling was identified, warranting further investigation as a practical preintervention tool in identifying patients prone to LVAD‐mediated cardiac improvement and device weaning.
Authenticity and Credibility in Science Communication Design: A Rhetorical Approach
Authors: Schneller Annina
Published: October 2021

The communication of scientific knowledge is traditionally oriented towards objective truth and facts, and builds on the authority of science. This article argues that, besides or even opposite to these aims, creating authenticity has become a major factor of successful science communication. Conveying a “personal touch,” or giving the audience a feeling of “being real,” are crucial promoters of credibility. Significant methods of gaining trust and sympathy on the level of textual as well as visual presentation are disclosed by exploring a bestselling popular scientific book, and with references to ancient rhetorical texts.
Effect of lactic-co-glycolicacid nanoparticles polymer encapsulated quercetin on hypoxia/reoxygenation-induced cardiomyocyte injury and its mechanism
Authors: Song Shubo , Liang Weijie , Li Bin , Dong Haoju , Wu Kaiyuan , Zhao Liyun , Fan Taibing
Published: October 2021

This study aimed to elucidate the impact of quercetin (Que)-loaded poly(lactic-co-glycolic acid) (PLGA) nanoparticles (PLGA-Que) on hypoxia/reoxygenation (H/R)-induced cardiomyocyte (CM) injury and its mechanism. PLGA-Que was first prepared, and H/R CMs were intervened with either PLGA-Que
or free Que. The results showed that both PLGA-Que and free Que could enhance H/R CM viability, inhibit apoptosis, and lower the oxidative stress response. However, PLGA-Que was more protective of H/R CMs than free Que. Subsequently, noticeably enhanced viability and reduced apoptosis of H/R
CMs were determined after miR-499-5p or miR-375 up-regulation. Lastly, the inhibitor sequences of either miR-499-5p or miR-375 were transfected into PLGAQue-treated H/R CMs. The results showed that both sequences reversed the enhancement of viability and inhibition of apoptosis of H/R CMs
intervened by PLGA-Que. Thus, PLGA-Que can treat H/R-induced CM injury by up-regulating miR-499-5p and miR-375.