bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of hypoxia and hyperoxia on venous capacity and compliance in healthy men and women
Authors: Fan Jui-Lin , Sayegh Ana Luiza C. , Kaur Manpreet , Dawes Mathew , Paton Julian F. R. , Fisher James P.
Published: March 2022

Blood oxygen is an important modulator of arterial function, but its impact on peripheral venous function is incompletely understood. Herein, we sought to determine the effect of hypoxia and hyperoxia on venous capacity and compliance in the lower limb. In 16 healthy individuals (7 women; age: 28.3 ± 7.6 yr, mean ± SD), we assessed peripheral oxygen saturation ([Formula: see text]), the cross-sectional area (CSA) of the great saphenous vein (GSV; Doppler ultrasound), and calf volume (strain-gauge plethysmography) during a standard 60 mmHg thigh cuff inflation-deflation protocol. Separate trials were undertaken during breathing of room air, hypoxia [fraction in inspired oxygen ([Formula: see text]): 0.10], and hyperoxia ([Formula: see text]: 0.50), according to a single-blinded, randomized design. Lower limb pressure-CSA and pressure-volume relationships were modeled using a quadratic regression equation and compliance derived. [Formula: see text] was decreased by hypoxia (83.6 ± 5.6%) and increased by hyperoxia (98.7 ± 0.5%) compared with room air (96.4 ± 1.0%, P < 0.001). Compared with room air (17.0 ± 7.9 mm2), hypoxia decreased GSV CSA (13.4 ± 5.7 mm2, P < 0.001), whereas no change was observed with hyperoxia (17.1 ± 8.7 mm2, P = 0.883). GSV compliance derived from the pressure-CSA relationships was elevated approximately twofold with hyperoxia (−0.0061 ± 0.0046 a.u.) when compared with room air (−0.0029 ± 0.002 a.u., P = 0.027) and hypoxia (−0.0030 ± 0.0032 a.u., P = 0.007). No differences were observed in calf pressure-volume parameters with either hypoxia or hyperoxia ( P > 0.05). Our data indicate that GSV capacity is reduced by hypoxia, and that GSV compliance is increased by hyperoxia, thus highlighting the often overlooked role of oxygen in the regulation of venous circulation.
Coupling of single cutaneous afferents in the hand with ankle muscles, and their response to rapid light touch displacements
Authors: Toth Aidan L. , Fenrich Keith K. , Jones Kelvin E. , Misiaszek John E.
Published: March 2022

Light touch provides cutaneous feedback argued to contribute to balance control and shown to reduce postural sway. We demonstrate that activity of cutaneous afferents in the median nerve modulates motor pool excitability of ankle muscles at short latencies and that these afferents respond when a light touch contact is displaced. These findings suggest that cutaneous receptors of the hand can contribute to rapid regulation of muscle activity important to standing balance.
Task space exploration improves adaptation after incompatible virtual surgeries
Authors: Berger Denise J. , Borzelli Daniele , d’Avella Andrea
Published: March 2022

Motor skill learning requires the acquisition of novel muscle patterns, a slow adaptive process. Here we show that learning to control a cursor after an incompatible virtual surgery, a complex skill requiring new muscle synergies, is possible when enough time for task space exploration is provided. Our results suggest that learning new synergies is related to the exceptional human capacity to acquire a wide variety of novel motor skills with practice.
Decreased expression of protein O-linked mannose β-1,2-N-acetylglucosaminyltransferase 1 contributes to Alzheimer’s disease-like pathologies
Authors: Feng Yuxue , Jiang Hanxiao , Li Gongbo , He Guiqiong , Li Xiaofeng
Published: March 2022

This study explored the role of mannosylation in the pathogenesis of AD through a mannosyltransferase-POMGnT1. Results demonstrated that target gene overexpression could ameliorate pathologies of Aβ and τ hyperphosphorylation. This study is the first to examine the relationship between mannosylation and AD.
Characterization of interlimb interaction via transcutaneous spinal stimulation of cervical and lumbar spinal enlargements
Authors: Atkinson Darryn A. , Steele Alexander G. , Manson Gerome A. , Sheynin Jony , Oh Jeonghoon , Gerasimenko Yury P. , Sayenko Dimitry G.
Published: March 2022

Bidirectional interlimb modulation of spinal motor excitability can be evoked by transcutaneous spinal stimulation over the cervical and lumbosacral enlargements. Multisite transcutaneous spinal stimulation engages spinal sensorimotor networks thought to be important in the recovery of function after spinal cord injury.
Optimization of College Students’ Mental Health Education Based on Improved Intelligent Recognition Model
Authors: Liu Xiaoqian
Published: March 2022

Paying attention to the mental health education of college students, optimizing the psychological quality of college students, and improving their mental health level are inevitable requirements of higher education facing the world. In recent years, the mental health education of college students has always been a hot issue in the education circle, which has attracted much attention. It is the main research purpose of this paper to correctly understand the problems existing in college students’ mental health education and to find reasonable countermeasures and approaches to solve these problems. This paper collects and organizes the dimension facts twice, conducts descriptive analysis, unbiased pattern t-test, chi-square test, variance evaluation, and SNK-q check on the legitimate data, and analyzes the change and impact of the mental health level of students with negative psychological symptoms after 2 years. We use machine learning methods to model and analyze susceptibility factors. Among the psychological susceptibility factors, the UPI scores of students with negative psychological symptoms with different levels of self-esteem, psychological resilience, depressive cognition, positive coping style, negative coping style, different family functions, and ability to perceive social support have significant differences. The mental health level of college students with negative psychological symptoms decreased after 2 years. The self-esteem stage decreased, and the psychological elasticity stage decreased; the longer the cognitive stage of depression, the worse the coping style; the more serious the impairment of family function, the lower the possibility of social support, the more likely it is to lead to psychological problems. After preprocessing the original data, the features of various types of information of the intelligent model are extracted. The test and data analysis results show that the improved recognition accuracy based on the intelligent model is 82.5%, which is higher than the traditional model, which proves the effectiveness and feasibility of the scheme. Using item or dimension data, the model established by machine learning method based on susceptibility factors can effectively predict the changes of mental health of college students with negative psychological symptoms after 2 years, and can effectively identify college students with psychological problems after 2 years.
An Algorithm for Automatic Recognition of Chinese Spatial Prepositional Phrases for Academic Texts
Authors: Gao Yanrong
Published: March 2022

Automatic recognition of prepositional phrases has always been pursued in English translation, and its accurate recognition is crucial for various activities and applications in the field of natural language processing. This paper proposes an automatic recognition algorithm for Chinese spatial prepositional phrases in academic texts, which can not only identify parallel prepositional phrases but also improve the recognition accuracy of nested prepositional phrases. First, the method employs a simple noun phrase recognition model to identify and fuse phrase information contained in the corpus, thereby simplifying the corpus and minimizing the internal complexity of prepositional phrases. Second, the method uses the CRF model to identify nested inner prepositional phrases; if there is nesting, it identifies the inner layer of nesting; if there is no nesting, it identifies prepositional phrases; finally, it fuses the inner prepositions identified in the initial corpus phrase, modifies its feature information, and retrains the foreign preposition phrase recognition model for recognition. After the internal and external prepositional phrases are automatically identified, the double error correction method is used to correct the identified prepositional phrases. The experimental analysis shows that the accuracy rate, recall rate, and

F

-value of the method for identifying prepositional phrases are 95.33%, 94.32%, and 94.73%, respectively, which are higher than those of the other methods for identifying prepositional phrases, which effectively improves the recognition rate of prepositional phrases.
A Three-Dimensional Microwave Sparse Imaging Approach Using Higher-Order Basis Functions
Authors: Vojnovic Nebojsa , Crocco Lorenzo , Nikolic Stevanovic Marija
Published: March 2022

This paper presents a novel method for three-dimensional microwave imaging based on sparse processing. To enforce the sparsity of the unknown function, we take advantage of the fact that arbitrary three-dimensional electromagnetic fields can be decomposed into two components with respect to the radial direction: one with transverse-magnetic polarization and the other with transverse-electric polarization. Each component can be further expressed as a sum of spherical harmonics, which provide the dictionary exploited by the sparse processing algorithm. Our measurement model relates the data and the parameters of the spherical harmonics’ sources, which are uniformly distributed on a grid sampling the imaging domain. By relying on the theory of degrees of freedom of electromagnetic fields, it can be shown that only a few harmonics are sufficient to accurately represent the measured scattered field from objects whose diameter is of the order of the wavelength, thus allowing reducing the dimension of the adopted dictionary. We analyze several imaging scenarios to assess the algorithm’s performance, including different object shapes, sensor orientations, and signal-to-noise ratios. Moreover, we compare the obtained results with other state-of-the-art linear imaging techniques. Notably, thanks to the adopted dictionary, the proposed algorithm can yield accurate images of both convex and concave objects.
Marine Shale Gas Occurrence and Its Influencing Factors: A Case Study from the Wufeng-Longmaxi Formation, Northwestern Guizhou, China
Authors: Cao Taotao , Liu Hu , Pan Anyang , Deng Mo , Cao Qinggu , Yu Ye , Huang Yanran , Xiao Zhenghui
Published: March 2022

Organic-rich shales were found in the Ordovician to Silurian Wufeng-Longmaxi Formation in northwestern Guizhou province, China, which has high shale gas content revealed by field measurement. Shale gas occurrence, free gas/sorbed gas ratio, and their influencing factors are crucial for shale gas exploitation strategy. Results indicated that the Wufeng-Longmaxi shales are dominated by type I kerogen, with total organic carbon (TOC) and equivalent vitrinite reflectance (eqvRo) of 0.77%–6.98% and 2.37%–2.53%, respectively. The total porosity and permeability are in the range of 1.23%–8.43% and

3
×

10

−
4

–

2.23
×

10

−
1

 mD, respectively. FE-SEM observation and correlation analysis show shale porosity is dominated by organic matter (OM) pores, followed by interparticle (interP) pores related to brittle minerals. CH4, derived from oil cracking, is the main component of shale gas, but its proportion is lower than that in Fuling and Weiyuan areas, probably due to the weak preservation condition. Desorption gas and lost gas determined by in situ desorption test are 0.42–1.54 cm3/g and 1.9–7.14 cm3/g, respectively, and Langmuir volume (

V

L

) from isothermal adsorption experiment is 1.63–4.78 cm3/g. Shale gas content is positively correlated with micropore volume, mesopore volume and TOC content but negatively correlated with macropore volume and clay mineral content, indicating that methane is preferentially stored in micropores (<2 nm) and mesopores (2–50 nm) related to OMs. By comparing actual total gas content with theoretical gas content, shale gas is considered to exist primarily in sorbed state, and the free gas proportion can increase with increased TOC content, due to that OM pores with larger sizes are also main space for free gas. Combined with the two methods, it can result in accurate calculations of shale gas reserves and free/sorbed gas ratio. Based on this understanding, a model of shale gas occurrence was proposed, which can provide a reference for shale gas exploitation in normal pressure areas.
Research on Location Characteristics of UCF Layout Based on DNSCAN Algorithm
Authors: Lu Zhao
Published: March 2022

Since the reform and opening up, the prosperity of culture has always been the strong desire of the party and the country, and repeatedly put forward the goal of improving the public cultural service system (PCSS), requiring priority development of infrastructure construction related to the vital cultural interests of the people. Urban cultural facilities (UCF) are an important material basis in the cultural service system. The essential assurance for achieving the goal of developing a PCSS that covers the entire community is to improve the layout of cultural facilities (CF) and to allocate CF in a scientific and reasonable manner. This research examines the geographical layout characteristics of CF in Xiamen using POI data from libraries, art galleries, and museums crawled by Baidu API and spatial statistical tools such as ArcGIS. Taking the interest points of cultural promote serving residents as research objects, the advancement of spatial pattern of CF in Zhengzhou in 2007 and 2017 was quantitatively analyzed by using standard deviation ellipse and kernel density analysis. The paper compares and analyzes the location distribution characteristics of museums, libraries, cultural centers, art galleries and theaters from two aspects of macro spatial form and microgathering center. Residents’ behavioral characteristics are introduced to examine the influence on the spatial form of CF, and appropriate suggestions are made for the planning and development of CF in Zhengzhou, based on large-scale field survey data and geographical detectors. This article, on the analysis of the state and international public facilities location layout on the basis of optimization study, starting from the present circumstances of urban public sports facilities layout, puts forward the geographic information system (GIS) technology and local approximation (LA) model is introduced into urban public sports service facility location, using DNSCAN network analysis function of urban public sports facilities in site selection and layout optimization, Provide a new method for site selection of sports facilities. And the actual case analysis, in order to provide a reference for the future location layout of public service facilities. Zhengzhou cultural resources through the establishment of GIS database, investigation, cultural needs, put forward the planning should not only include public CF, CF planning should also include the cultural heritage, cultural creative industry, and put forward the development strategy of the construction of the overall urban culture network, realize the cultural space planning and career planning, the fusion of the culture industry planning.
Research on the Application of Multimedia Entropy Method in Data Mining of Retail Business
Authors: Li Ting , Zhang Can
Published: March 2022

In recent years, database technology has developed rapidly and is changing with each passing day. With the support of network technology, its application scale, scope, and depth are constantly expanding. With the explosive growth of data, we are also faced with such a challenge: First, as a basic information storage and management method, database technology can only perform simple data processing, such as query, statistics, reports, etc.; lack of decision-making; analysis; prediction; and other advanced functions. Secondly, in the face of these massive data, people pay more attention to how to dig out the important information hidden in these data, rather than the data itself. Therefore, data mining technology, which integrates statistics, artificial intelligence, pattern recognition, and optimization, emerges as the times require. Data mining technology is application-oriented from the very beginning, and its great success in various industries has fully demonstrated its strong vitality, especially in the retail industry. If the data mining technology can be perfectly combined with the retail industry, it can not only bring great convenience to customers but also inject new vitality into enterprises, making them invincible in the fierce competition. This paper proposes a filtering of high-quality customer system framework based on maximum entropy, which expresses customer data as a feature vector for feature selection and feature smoothing. The filtering performance of different feature sets is compared by combining different characteristics of customer data. Experiment and conduct multimedia presentations. Experiments show that the filtration performance of this system is better than the general filtration system.
Methods of College Education Reform under the Background of Wireless Communication and VR
Authors: Li Guanfa
Published: March 2022

With the rapid development of information technology, wireless communication and virtual reality technology have gradually been introduced to college education. Compared with traditional teaching methods, the use of information technology can make teaching more convenient and efficient. New teaching models such as online classrooms and shared notes have gradually shown their advantages, promoting the continuous advancement of higher education to intelligent development. Incorporating wireless communication and VR into our educational practice and selecting and innovating them according to the characteristics of colleges and universities and teaching content can better play the auxiliary role of technology. In this paper, the status quo of college education is studied through a questionnaire survey, and the advantages, existing problems, and solutions of wireless communication and virtual reality technology in college education reform are analyzed. The results show that wireless communication and virtual reality technology not only enhance the experience and motivation of students but also enhance the teaching quality of teachers. This provides an important reference value for college education reform.
Prediction of Industrial Network Security Situation Based on Noise Reduction Using EMD
Authors: Zhao Guanling , Huang Lisheng , Li Lu , Zhang Yongfeng
Published: March 2022

Industrial Internet security is a prerequisite to ensure the high-quality development of the Industrial Internet. The significant way to curb Industrial Internet security accidents and prevent cyber threats proactively is effectively controlling the changes in network situations. In this paper, we propose a new prediction model based on Long Short-Term Memory (LSTM), minimum mean square variance criterion (MMSVC), and empirical mode decomposition (EMD), with the aim of effective noise reduction and high prediction accuracy. To minimize the disturbance of random noise, we firstly deleted several outliers in high-frequency and noisy Intrinsic Mode Functions (IMFs) decomposed by EMD. MMSVC performs well in identifying noisy IMFs without using thresholds. For the blank places, we refilled them by a certain weight with relevant figures. After that, the LSTM model was applied to predict the denoised signal. The preliminary experimental analysis illustrated that noise reduction with the EMD method could provide a significant boost in forecasting performance.
Epidemiological Study of Lung Cancer and Clinical Medication in England from 2001 to 2019
Authors: Zhang Baokun , Yang Ying
Published: March 2022

We aimed to explore the epidemiological characteristics and changes of lung cancer and the clinical medication in England from 2001 to 2019. We searched related research using search engine systems such as MEDLINE, PubMed, and PsychINFO. Lung cancer is a serious disease and the prognosis is usually very poor. The overall mortality rate of lung cancer decreased year by year in England from 2001 to 2019, but men, the elderly, and people exposed to polluted air are still more likely to be infected with lung cancer or die as a result, the prevalence and mortality rate of lung cancer in the north of England is significantly higher than that in the south, and the gap is increasing year by year. Lung cancer has changeable risk factors such as quitting smoking and improving air quality, which can effectively reduce the related risk. Paclitaxel, docetaxel, gemcitabine, and vinorelbine are the main drugs for the treatment of lung cancer in England and the treatment of these drugs is beneficial to the survival and quality of life of patients. Men and the elderly are at high risk of lung cancer, which means that lung cancer has obvious gender inequality and age inequality. At the same time, based on the statistical data of lung cancer risk in different regions, it can be concluded that lung cancer also has strong geographical and economic inequality. Changing risk factors and using drugs can effectively reduce the risk of lung cancer and provide effective treatment.
A Preliminary Study on the Equivalence between Standing Back-Extension and Superman Training in Lumbar Multifidus Exercise
Authors: Xu Youyin , Wang Jianguang , Wu Junxian
Published: March 2022

Objective. To explore the equivalence of an easier and more convenient lumbar multifidus (LM) muscle exercise pattern among standing back-extension, static standing, and superman training. Methods. A total of 26 healthy young volunteers were enrolled, including 14 males and 12 females, aged from 22 to 44 years with an average of

31.77
±
7.06

years. Ultrasonography was used to measure the thickness of the left LM of the transverse process of the L5 vertebra during static standing, static prone decubitus, standing back-extension, and prone superman training. In this study, measurement data were expressed as

Mean
±
SD

and compared using the

t

-test. Results. The left LM thickness of the L5 vertebra was

2.92
±
0.46

 cm during static standing and

2.78
±
0.39

 cm during static prone decubitus, showing no statistical difference between the two groups (

P
>
0.05

). The left LM thickness of the L5 vertebra was

3.16
±
0.51

 cm during standing back-extension and

3.33
±
0.41

 cm during the prone superman training, indicating no statistical difference between the two groups (

P
>
0.05

). Conclusions. There is no significant statistical difference in the LM thickness between static standing and static prone decubitus and between standing back-extension and prone superman training, indicating the equivalence of the two methods in LM exercise, providing a simpler and easier way for clinical exercise of lumbodorsal muscles.
Roles of Microbiota in Cancer: From Tumor Development to Treatment
Authors: Bagheri Zohreh , Moeinzadeh Leila , Razmkhah Mahboobeh
Published: March 2022

Cancer as a second leading cause of death arises from multifactorial pathology. The association of microbiota and their products with various pathologic conditions including cancer is receiving significant attention over the past few years. Mounting evidence showed that human microbiota is an emerging target in tumor onset, progression, prevention, and even diagnosis. Accordingly, modulating this composition might influence the response to tumor therapy and therapeutic resistance as well. Through this review, one could conceive of complex interaction between the microbiome and cancer in either positive or negative manner by which may hold potential for finding novel preventive and therapeutic strategies against cancer.
Anonymous Traceability Protocol Based on Group Signature for Blockchain
Authors: An Qi , Zhang Yanhui , Guo Chong , Liu Ximing , Huang Junjia , Zhang Wenzhan , Zhang Shijun , Zhan Chao , Cai Yuxiang
Published: March 2022

In blockchain technology, data are stored on decentralized nodes and public to each node in the blockchain network. Hence, the focus of privacy protection in the blockchain guarantees the anonymity of transactions such that attackers cannot attain the users’ personal information through data analysis. Among the existing privacy protection technologies, the scheme based on group signature has good anonymity, but the existing scheme exists a large number of operations that are difficult to apply to wireless terminals. In this paper, using the powerful offloading capability of edge computing, we propose a blockchain node traceable identity privacy technology scheme based on threshold group signature, and the scheme greatly reduces the computing burden of nodes while achieving node privacy protection.
Publishing and Interlinking COVID-19 Data Using Linked Open Data Principles: Toward Effective Healthcare Planning and Decision-Making
Authors: Ali Shaukat , Zada Islam , Mehmood Zahid , Ullah Amin , Ali Haider , Ullah Mujeeb
Published: March 2022

The COVID-19 data is critical to support countries and healthcare organizations for effective planning and evidence-based practices to counter the pressures of cost reduction, improved coordination, and outcome and produce more with less. Several COVID-19 datasets are published on the web to support stakeholders in gaining valuable insights for better planning and decision-making in healthcare. However, the datasets are produced in heterogeneous proprietary formats, which create data silos and make data discovery and reuse difficult. Further, the data integration for analysis is difficult and is usually performed by the domain experts manually, which is time-consuming and error-prone. Therefore, an explicit, flexible, and widely acceptable methodology to represent, store, query, and visualize COVID-19 data is needed. In this paper, we have presented the design and development of the Linked Open COVID-19 Data system for structuring and transforming COVID-19 data into semantic format using explicitly developed ontology and publishing on the web using Linked Open Data (LOD) principles. The key motivation of this research is the evaluation of LOD technology as a potential option and application of the available Semantic Web tools (i.e., Protégé, Excel2RDF, Fuseki, Silk, and Sgvizler) for building LOD-based COVID-19 information systems. We have also underpinned several use-case scenarios exploiting the LOD format of the COVID-19 data, which could be used by applications and services for providing relevant information to the end-users. The effectiveness of the proposed methodology and system is evaluated using the system usability scale and descriptive statistical methods and results are found promising.
Combined Prediction of Clean Energy Consumption in China Based on the Nonlinear Programming Model
Authors: Liu Shuanghua
Published: March 2022

With the increasing demand for energy and with the increasing awareness of environmental protection, clean energy will become the ultimate solution of energy in the near future. In order to meet the future demands of clean energy, it is important to accurately predict the consumption of clean energy. This paper is based on the total consumption data of clean energy in China from 2000 to 2019, including natural gas, hydropower, nuclear power, and wind power consumption. The combined model is used to predict the clean energy consumption and achieves the optimal prediction with minimum variance. The results show that compared to the GM(1,1) and ARIMA model, the combined forecasting model has lower relative error when fitting and predicting the consumption demand of clean energy. It is observed from the prediction results that the clean energy consumption would have a rapid growth tendency, and the growth rate will be about 8.6% in the next five years. The consumption would be about 1.7 billion tons standard coal in the year of 2024.
“The Baltic Sea Germ”: A Case Report of Necrotizing Fasciitis following Vibrio vulnificus Infection
Authors: Meyer Heinz-Lothar , Polan Christina , Burggraf Manuel , Podleska Lars , Beck Paula , Steinau Hans-Ulrich , Dudda Marcel , Farzaliyev Farhad
Published: March 2022

Reported is an 80-year-old patient with septic shock from necrotizing fasciitis secondary to a Vibrio vulnificus (Vv) infection. The patient reports having been swimming in the Baltic Sea after a minor trauma to the left leg. Emergency superficial necrosectomy followed by intensive medical therapy was performed. Antibiotic therapy was initiated with a third-generation cephalosporin and a tetracycline. Vv was detected in the intraoperative microbiological smears. Instead of a leg amputation and a flap, due to the patient’s age, a split skin covering to consolidate the wound was performed. Vv is a gram-negative rod bacterium of the genus Vibrio. Vv occurs in warm, low-salinity seawater (brackish water). In Germany, Vv occurs primarily in river mouths of the low-salinity Baltic Sea. Infections by Vv can occur through open wounds or by eating raw infected seafood, especially oysters. Infection via wounds often take a fulminant lethal course. Patients with chronic diseases, weakened immune system, and open wounds are particularly at risk. Infections with Vv are rare, but occur worldwide. Global warming is expected to spread Vv as water temperature increases and the dilution effect of sea level rise further decreases ocean salinity, and natural disasters promote the spread of Vv.
Mechanism of Antibacterial Enhancement and Drug Resistance Based on Smart Medical Imaging on Antibiotics
Authors: Xing Yanxia , An Xiaowen , Wang Boyang , Chang Guifang , Zhu He , Yu Yang
Published: March 2022

With the development of antibacterial, synergistic, and drug resistance research, the requirements for the specificity of antibiotics are getting higher and higher. In the research based on the specificity of antibiotics, this article uses intelligent medical image processing methods to study the specificity of the antibacterial efficiency of nanocopper oxide and the inhibition of drug resistance. Copper oxide nanorods have the properties of surface effect, quantum size effect, volume effect, and macroscopic quantum tunneling effect. Compared with ordinary copper oxide, the nanoscale gives them special properties of electricity, optics, and catalysis. In this article, in the research based on the specificity of antibiotics, the specificity of antimicrobial efficiency and drug resistance inhibition of nanocopper oxide are studied by using smart medical information processing methods. Drug sensitivity paper tablet method is a drug sensitivity experiment to determine drug sensitivity to make accurate and effective use of drugs for treatment. Colony growth method is used to take the equivalent volume of fermentation liquid at different times to determine the content of bacteria. In this article, Staphylococcus aureus is cultivated by the drug-sensitive disk method and the colony growth method. Then, according to this type of antibiotic and bacterial group combination, Staphylococcus aureus is divided into a penicillin group, nanocopper oxide group, and cephalosporin group. 0.5 g of the corresponding antibiotic was added to each group. TMP (trimethoprim) acts as a synergist, and the ratio of TMP to antibiotic is 1 : 5. Finally, we compared the inhibitory concentration indexes of the above three groups and inferred the synergistic effect of antibiotics and the inhibitory effect of drug resistance through the specificity of the antibiotics that the antibacterial activity was further studied. The results showed that the antibacterial effect of TMP combined with nano-CuO was 38% higher than that of the penicillin group and 41% higher than that of the cephalosporin group. In addition, the combined effect of TMP and antibiotics is greater than the combined effect of TMP and antibiotics alone. From the observation of smart medical system processing, it is speculated that the reason may be that they provide each other with a suitable environment. Because of this combined effect between the TMP and the antibiotic, it can influence each other. From the results, the combined effect is 48% higher than the combined effect. Therefore, according to the results of medical imaging, the combination of antibiotics and antibacterial synergists can improve specificity and antibacterial rate.
Recognition and Error Correction of Piano Playing Features Based on Filtering Technology
Authors: Fan Jing
Published: March 2022

The extraction of piano features needs to be based on mature technology, but there is no mature technology for feature recognition of music to ensure the correct rate of feature extraction. This article combines filter processing technology to carry out the research on piano playing feature recognition and builds an intelligent error correction system, and it realizes the feature recognition and error correction of piano playing with the support of filter technology. Moreover, this article conducts experimental research on the system constructed. Through experimental research, it can be seen that the piano performance feature recognition system proposed in this article can effectively recognize the piano practitioner’s playing effect and record it for error correction. This intelligent method can effectively improve the piano playing effect.
Diagnosis of Early Cervical Cancer with a Multimodal Magnetic Resonance Image under the Artificial Intelligence Algorithm
Authors: Zhang Zhenge , Zhang Chongyuan , Xiao Li , Zhang Shuirong
Published: March 2022

This research was conducted to explore the value of multimodal magnetic resonance imaging (MRI) based on the alternating direction algorithm in the diagnosis of early cervical cancer. 64 patients diagnosed with early cervical cancer clinicopathologically were included, and according to the examination methods, they were divided into A group with conventional multimodal MRI examination and B group with the multimodal MRI examination under the alternating direction algorithm. The diagnostic results of two types of multimodal MRI for early cervical cancer staging were compared with the results of clinicopathological examination to judge the application value in the early diagnosis of cervical cancer. The results showed that in the 6 randomly selected samples of early cervical cancer patients, the peak signal‐to‐noise ratio (PSNR) and structural similarity image measurement (SSIM) of multimodal MRI images under the alternating direction algorithm were significantly higher than those of conventional multimodal MRI images and the image reconstruction was clearer under this algorithm. By comparing MRI multimodal staging, statistical analysis showed that the staging accuracy of B group was 75%, while that of A group was only 59.38%. For the results of postoperative medical examinations, the examination consistency of B group was better than that of A group, with a statistically significant difference (P < 0.05). The area under the receiver operating characteristic (ROC) curve (AUC) of B group was larger than that of A group; thus, sensitivity was improved and misdiagnosis was reduced significantly. Multimodal MRI under the alternating direction algorithm was superior to conventional multimodal MRI examination in the diagnosis of early cervical cancer, as the lesions were displayed more clearly, which was conducive to the detection rate of small lesions and the staging accuracy. Therefore, it could be used as an ideal MRI method for the assistant diagnosis of cervical cancer staging.
Meta-Analysis of Children’s Acute Psychological Stress and Action Stress on Immune Function under Microscope Images
Authors: He Hanjiang , Tan Yulin , Li Lihua
Published: March 2022

The immune system is a complex system, mainly including immune cells and immune organs. When the human body is invaded by foreign substances, the immune system will play a role in resisting the attack of harmful substances and pure necrotic cells, which is the defense structure of the body. The purpose of this study was to analyze children’s acute psychological stress and action stress, and judge the adverse effects on immune function. Through the stress experiment of rats, three experimental groups were set up, which were placebo control group, placebo stress group, and drug stress group. The experiments include material-level test, sugar preference test, body weight test, and lymphocyte test. The experimental data show that stress reaction not only causes negative emotions, but also reduces weight gain by about 5%, and sugar preference decreases by about 40% compared with the normal group. There was no significant difference in the number of granulocytes and intermediate cells in the blood, but the number of lymphocytes increased from 2.49 × 109/L to 5.03 × 109/L. It shows that acute psychological stress has an inhibitory effect on the immune function of the body; not only suitable load exercise can improve the immune function of the body but also the mechanism may be that moderate load exercise makes the rat axis has better adaptability, and improves hormones, cytokines, and cytokines. The secretion of neurotransmitters can maintain the stability of the body’s immune function.
Study of Antibacterial Activity of Root Bark, Leaves, and Pericarp Extracts of Diploknema butyracea and Evaluation of Prospective Antioxidant Activity
Authors: Chhetry Alisha Karki , Dhakal Subhila , Chaudhary Lalita , Karki Khimdhoj , Khadka Ram Bahadur , Chaudhary Gautam Prasad , Bastola Tonking , Poudel Amrit , Aryal Pramod , Pandey Jitendra
Published: March 2022

This study was aimed to determine the antibacterial activity of root bark, leaves, and pericarp extract of Diploknema butyracea and to evaluate the prospective antioxidant activity, total flavonoid, polyphenol, and carbohydrate content. The plant parts were collected and extracted by cold maceration, using hexane, ethyl acetate, methanol, and distilled water. Phytochemical screening of different samples of D. butyracea in different solvents revealed the presence of varied extent of alkaloid, saponin, terpenoid, anthraquinones, tannin, cardiac glycoside, flavonoid, carbohydrate, polyphenol, protein and amino acid, resin, and phytosterol. Our study showed that methanolic root bark extract exhibited the potent antimicrobial activity against Staphylococcus aureus, Staphylococcus epidermidis, and Klebsiella pneumonia with an average zone of inhibition of 17.33 mm, 14.33 mm, and 13.0 mm, respectively. Surprisingly, all of the extracts were insensitive to Escherichia coli. The lowest minimum bactericidal concentration (MBC), 4.6 mg/ml, was observed with the aqueous pericarp extract against S. epidermidis and the highest was of 50 mg/ml shown by ethyl acetate pericarp against K. pneumonia. Our results showed that both the polar and nonpolar components present in the different parts of D. butyracea exhibit prominent antibacterial activities against different bacterial strains. The in vitro 2,2′-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging activity showed that the methanol extract of root barks displayed the most potent antioxidant activity (IC50 : 6.1 µg/ml). The total polyphenol content of the plant part extracts was observed between 19.48 ± 0.23 and 123.48 ± 1.84 µg gallic acid equivalent/mg of dry extract weight. Likewise, flavonoid content ranged from 40.63 ± 1.28 µg to 889.72 ± 3.40 μg quercetin equivalent/mg of dry extract weight and total carbohydrate content ranged from 11.92 ± 0.60 µg to 174.72 ± 0.60 µg glucose equivalent per/mg dry extract weight. Overall, our study showed that the root bark, pericarp, and leaves extract of D. butyracea evinced prominent antibacterial properties against various pathogenic bacterial strains.
Research on Anti-Alzheimer’s Traditional Chinese Medicine with Data Security: Datasets, Methods, and Evaluation
Authors: Tang Peng , Zheng Yubin , Qiu Weidong , Wang Hao , Guo Jie , Huang Zheng
Published: March 2022

Alzheimer’s disease (AD), a growing global health concern, has been posing a significant threat to the health of the aging population. The factors contributing to the occurrence and development of AD are extremely complex, including multiple neural networks and multiple targets, which join together to formulate enormous challenges in AD treatment. Traditional Chinese medicine (TCM) possesses the characteristics to regulate multiple targets at the same time, which is consistent with the pathogenesis of AD, moreover, clinical results in TCM treating AD reveal promising effects. In this paper, we first collected anti-Alzheimer’s prescriptions and their therapeutic effects from commonly used literature databases and expanded the data to form the anti-Alzheimer’s TCM dataset. Next, we combined machine learning models to train and analyze the dataset, which was used to predict the effectiveness of new TCM prescriptions. For the first time, we proposed to use the artificial intelligence method to train the properties of nature, flavor, and channel tropism in TCM prescriptions. The accuracy of the prediction model for the effectiveness of anti-Alzheimer’s can reach up to 85%. The experimental results demonstrated that our method can precisely predict the effectiveness of prescriptions against Alzheimer’s disease, and have great value in providing guidance for the development of new anti-Alzheimer’s drugs. Finally, we built a distributed model training architecture based on federated learning to train and predict the effectiveness of TCM prescriptions under the premise of ensuring data security.
Performance Evaluation of LMS and CM Algorithms for Beamforming
Authors: Atzemourt Mossaab , Farchi Abdelmajid , Chihab Younes , Hachkar Zakaria
Published: March 2022

In this paper, we compare the performances of the least mean square (LMS) and constant modulus (CM) algorithms for beamforming. Our interest in these algorithms finds its origins in their reliability as a source-receiver pair. In addition, their use brings a great frequency of diversity even to respond quickly to the increasing spectral demand. The results suggest that the greater the number of elements in the antenna, the better the directivity for both LMS and CM. We also note that a judicious choice of the control parameter mu leads to a better speed of convergence for the two algorithms. Let us note, however, that LMS is more efficient. Our simulations show that in an environment affected by white Gaussian noise, LMS is more robust than CM. This confirms the theoretical result due to the fact that LMS uses a sequence for learning. Performance analyses of the two techniques are simulated in the MATLAB environment.
Loss of p53 Expression in Gastric Epithelial Cells of Helicobacter pylori-Infected Jordanian Patients
Authors: Abu-Lubad Mohammad A. , Helaly Ghada F. , Haddadin Weliam J. , Jarajreh Dua’a A. K. , Aqel Amin A. , Al-Zeer Munir A.
Published: March 2022

Background. Around half of the global population is chronically infected with the stomach bacterium Helicobacter pylori, making it one of the most common chronic infections worldwide. H. pylori induces the production of reactive oxygen species, DNA damage, and accelerates the degradation of the tumor suppressor protein p53, which may lead to cancer development. In this study, we investigated the relationship between H. pylori infection and the expression of p53 in gastric mucosa in a group of patients from Jordan. Methods. In this retrospective case-control study, the epithelium of gastric glands in subjects chronically infected with H. pylori was examined for the expression of p53. Paraffin-embedded gastric biopsy samples from the archives for 50 Jordanian patients diagnosed with chronic H. pylori infection and 25 samples free of H. pylori infection and any other gastric abnormalities were selected. Samples were analyzed for the presence of H. pylori as well as p53 expression levels in the mucosa and submucosa by immunohistochemical analyses and Western blotting. Results. H. pylori was detected in the gastric tissues of infected individuals (n = 50); whereas, no H. pylori infection was detected in uninfected healthy individuals (n = 25) using immunohistochemistry. In contrast to the noninfected samples of gastric mucosa, no nuclear p53 expression was detected in the infected samples using immunohistochemistry. In addition, the levels of p53 in H. pylori-positive samples detected by Western blotting were significantly lower than those in the negative individuals. Conclusion. Our data reveal that p53 protein expression decreased in gastric mucosa of patients infected with H. pylori. The loss of this tumor suppressor may play a role in the increased risk for tumor initiation associated with H. pylori carriage.
Optimal Matching Metaheuristic Algorithm for Potential Areas of Agricultural Economic Resources Development Based on Spatial Relationship
Authors: Zhang Jianying , Feng Xuebin
Published: March 2022

The agriculture sector is the backbone of the economies of many Asian countries such as India, China, and Bangladesh. The agriculture sector can contribute a major share to the GDP of such countries where the main occupation of the citizens is agriculture or the dependency of the citizens is mainly on the agricultural productivity. It is important to study the potential areas of agricultural economic resource development. The existing methods are not efficient enough to map the potential areas of agricultural productivity with economic resource development, and hence, it has motivated us to study the aspects which impact the economic resource development based on agricultural productivity. There are numerous factors such as low productivity, high irrigation amount, high labor charges, low proportion of planning optimization, and low crop yield that should be considered to study the correlation between economic development and agricultural productivity. Firstly, the spatial relationship of potential areas of agricultural economic resources development is analyzed in this paper. Secondly, the multiobjective linear programming model is proposed. Based on this multiobjective model, the optimal matching model for potential areas of agricultural economic resource development is constructed, and the improved genetic algorithm is used to solve the model to realize the optimal matching of potential areas of agricultural productivity and economic resource development. The experimental results show that the proposed method has high economic benefit, low irrigation amount, and high proportion of planning optimization with high crop yield.