bluuebunny/crossref_metadata_2025 huggingface dataset:
Sodium Butyrate Attenuated Diabetes-Induced Intestinal Inflammation by Modulating Gut Microbiota
Authors: Liu Liping , Chen Yuping , Wu Qin , Shu Anmei , Sun Jihu
Published: August 2022

Background. Diabetes mellitus (DM) continues to be one of the world’s most costly and complex metabolic disorders. Accumulating evidence has shown that intestinal dysbiosis and associated inflammation can facilitate the onset and progression of DM. In this work, our goal was to investigate how sodium butyrate (SB) controls the gut microbiota to reduce the intestinal inflammation brought on by diabetes. Methods. Male KK-Ay mice were randomized into two groups: the DM model group (intragastric administration of 0.9% normal saline) and the SB treatment group (intragastric administration of 1,000 mg/kg/d SB). The C57BL/6J mice were used as the control group (intragastric administration of 0.9% normal saline). These mice were administered via gavage for 8 weeks. Results. The results revealed that SB-treated mice significantly reduced fasting blood glucose (FBG), body weight, 24 h food and water intake, and improved islet histopathology in DM model mice. SB reduced TNF-α, IL-1β, and iNOS, whereas it enhanced the expression of the anti-inflammatory Arg-1 marker on intestinal macrophages and the secretion of anti-inflammatory IL-10. Specifically, SB was linked to a marked drop in the expression of the Th17 marker RORγt and a substantial increase in the expression of the Treg marker Foxp3. SB treatment was associated with significant reductions in the levels of Th17-derived cytokines such as IL-17 and IL-6, whereas anti-inflammatory Treg-derived cytokines such as TGF-β were increased. Additionally, the analysis results from 16S rDNA sequencing suggested that SB significantly reversed the variations in intestinal flora distribution and decreased the relative abundance of Weissella confusa and Anaerotruncus colihominis DSM 17241 at the species level as well as Leuconostocaceae, Streptococcaceae, and Christensenellaceae at the family, genus, and species levels. These distinct florae may serve as a diagnostic biomarker for DM-induced intestinal inflammation. In addition, the heat map of phylum and OTU level revealed a close relationship between DM-induced intestinal inflammation and intestinal microbiota. Conclusions. The present study suggested that SB may reduce DM-induced intestinal inflammation by regulating the gut microbiota.
Stability Analysis of Heterogeneous Traffic Flow with Connected and Automated Vehicles: Joint Consideration of Communication Failures and Driver Takeover
Authors: Hua Xuedong , Yu Weijie , Wang Wei
Published: August 2022

As a primary stage of connected and automated vehicles (CAVs), the cooperative adaptive cruise control (CACC) system takes some outstanding advantages such as accurate perception and timely reaction, which benefit from vehicular communication, over human-driven vehicles (HDVs). However, these advantages will turn into stability risks in case of communication failures caused by malicious attacks. Thus, this study aims at analyzing the stability of heterogeneous traffic flow with communication failures. We model two types of communication failures: bogus messages and transmission delay, and introduce drivers’ takeovers to react to communication failures. As a result, heterogeneous traffic flow consists of normal CACC vehicles, CACC vehicles with communication failures, and HDVs. Then, a series of numerical analyses, including startup and braking analysis, incidents analysis, and density wave, are proposed to verify the theoretical models and demonstrate their major properties. Besides, a discussion on traffic capacity is presented to analyze the overall impact of communication failures on traffic flow characteristics. The findings can help to investigate the stability evolution of heterogeneous traffic flow and determine the appropriate traffic flow configuration under communication failures.
Application of Data Mining in Offensive Tactical Research of Tennis Match
Authors: Yang Huahua , Li Xia
Published: August 2022

With the continuous development and growth of information technology and data scale, data mining technology has gradually matured and applied in various fields. With the continuous improvement in sports information level, the sports data are also increasing. It is the general trend to use data mining technology in the field of sports data analysis. In this article, data mining technology is used in the research of offensive tactical data of tennis, which aims to provide scientific data support for tactical decision-making in tennis training and competition and improve the winning rate of tennis competition. Firstly, based on the requirement analysis, the goal and structure framework of the tennis tactical analysis system are determined. The main functions of the system include tactical data collection, tactical statistics, and tactical comprehensive analysis. Then, the data collection ability, speed, and tactical statistic function of the tennis tactical analysis system are tested. The accuracy rate of data collection for five common offensive tactics in 10 matches of the tennis tactical analysis system is 94.4%, 97.1%, 100%, 97.4%, and 96.3%, respectively. This shows that the tennis tactical analysis system developed in this article can accurately record the tactical data in the game in real time. After the test, the system is used to analyze the tactics used by a tennis player in 2015 and analyze the characteristics of various tactics of the serve round and receive round. The results show that W-C-C is the main tactic of the serve round in the singles match, with the utilization rate of 100% and the scoring rate of W-C-C-Q tactics of 100%; the most important landing area is the inner corner of the right area, with the distribution rate of 30% and the scoring rate of 73.33%. The tactics of receiving round are mainly C-C-C-C tactics, with the utilization rate of 66.67% and the scoring rates of C-C-C-C tactics and C-Q-C-C tactics are 100%; the most important landing area is the middle road, with the distribution rate of 41.67% and the scoring rate of 46.67%. To sum up, the application of data mining in the research of offensive tactics in tennis matches has high analysis efficiency and accuracy, which is worthy of promotion.
In Vivo Efficacy, Toxicity Assessment, and Elemental Analysis of Traditionally Used Polyherbal Recipe for Diarrhea
Authors: Mussarat Sakina , Adnan Muhammad , Begum Shaheen , Alamgeer  , Ullah Riaz , Kowalczyk Alicja
Published: August 2022

A polyherbal formulation consisting of Mentha piperita L., Camellia sinensis L. Kuntze, and Elettaria cardamomum (L.) Maton with a ratio of 10 : 5 : 2, respectively, was recommended for curing nausea, vomiting, and diarrhea. Experimental validation is crucial to affirm its therapeutic property leads toward the development of modified antidiarrheal agents. This research aimed to investigate the in vivo antidiarrheal efficacy of traditionally used polyherbal recipe in a castor oil-induced animal model. Moreover, the study also presents the elemental screening and in vivo toxicity of tested polyherbal recipe. Individual plant parts of the polyherbal recipe were mixed according to the traditional prescription ratio, and hydromethanolic extract was prepared by the cold maceration process. The antidiarrheal activity was assessed by castor oil induction method, charcoal meal test, and enteropooling procedure in Sprague-Dawley rats. Elemental analysis and in vivo subacute toxicity were carried out, followed by biochemical, hematological, and histopathological analyses. Polyherbal extract significantly delayed the diarrhea onset in a dose-dependent manner and showed marked inhibition at 200 and 400 mg/kg. Fecal weight was reduced significantly (

p
<
0.05

) at 200 mg/kg (0.26 ± 0.25) in comparison with the control (1.63 ± 0.15). The diarrhea score was zero at a concentration of 200 and 400 mg/kg. Antienteropooling effect of the extract was greater than that of loperamide. Following subacute toxicity, all the treated rats were normal, survived, and showed no changes in behavior. There were no significant differences between values of blood parameters in both the control and extract-treated groups except a significant decrease in monocytes (control 8.4; polyherbal 2.2). Elemental analysis showed a slight increase in the amount of manganese (Mn, 8.076 ppm) as compared to the WHO recommended level (2 ppm). Traditionally used polyherbal recipe is effective and safe for combating diarrheal diseases. In vivo evidence supported the use, safety, and efficacy of the polyherbal recipe that has been used as an alternative medicine for diarrhea in the study area. Inhibition of castor oil-induced diarrhea and antisecretory effect of the studied polyherbal recipe makes it a potent antidiarrheal drug without no or limited toxic effects at the tested dose after further analysis.
Numerical Solution of Sylvester Equation Based on Iterative Predictor‐Corrector Method
Authors: Cidar Iyikal Ovgu
Published: August 2022

The inspiration of the study concerns an iterative predictor‐corrector method with order of convergence p = 45 for computing the inverse of the coefficient matrix Λ = (In ⊗ A) + (BT ⊗ Im), which is obtained by the Sylvester equation AX + XB = C. The numerical solutions of three examples by predictor‐corrector algorithm are given. The final numerical results also support the applicability, fast convergency, and high accuracy of the method for finding matrix inverses.
Research on Identification of Natural and Unnatural Earthquake Events Based on AlexNet Convolutional Neural Network
Authors: Ren Jiaqi , Zhou Shaohui , Wang Jianyong , Yang Shun , Liu Chao
Published: August 2022

Accurately and quickly identifying the types of natural and unnatural earthquake events is the basic premise of monitoring, prediction, early warning, and other study in the field of seismology, which is of great significance to the prevention, evaluation, emergency rescue, and other work of earthquake disasters. Convolutional neural network model is a representative artificial intelligence deep learning algorithm, which has been widely used in computer vision, natural language processing, object type identification, and other fields in recent years. In this study, AlexNet convolutional neural network model is selected to study the type identification of 1539 earthquake event waveform records in and around Ningxia Hui Autonomous Region, China. Earthquake event waveform records contain three types: natural earthquake, explosion, and collapse, in which both explosion and collapse are unnatural earthquakes. MATLAB software is used to build the training module and test module for AlexNet convolutional neural network model, and the earthquake event waveform record is transformed into an image format file of 224 times 224 pixels as input parameters. Finally, AlexNet convolutional neural network model has the ability of automatic identification of earthquake event types. The results of this study show that the identification accuracy of earthquake event type in training module is 99.97%, the average value of loss function is 0.001, the identification accuracy of earthquake event type in test set is 98.51%, and the average value of loss function is 0.059. After training and testing, 60 different types of earthquake event waveform records were randomly selected, and AlexNet convolutional neural network model was used to identify them automatically. The automatic identification accuracy of natural earthquakes, explosions, and collapses was 90%, 80%, and 85%, respectively. After training AlexNet convolutional neural network model with earthquake event waveform records, it can have accurate and fast automatic identification ability. The accuracy of automatic identification is comparable to that of professional seismic workers, and the time of automatic identification is greatly reduced compared with that of professional seismic workers. This study can provide an implementation idea of deep learning based on artificial intelligence for the identification of earthquake event types and make contributions to the cause of earthquake prevention and disaster reduction.
The Imaging Characteristics of Lens Subluxation on the Ultrasound Biomicroscopy
Authors: Wang Aoxiang , Mou Dapeng , Wang Ningli , Wang Haiyan
Published: August 2022

Background. To evaluate the imaging characteristics of the lens subluxation with the use of ultrasound biomicroscopy. Methods. From October 2018 to September 2019, 55 eyes diagnosed with lens subluxation were enrolled in the group. All patients underwent detailed eye examination and panoramic ultrasound biomicroscopy. Results. The most common sites of lens suspensory ligament injury were superior temporal side (32.73%) and superior nasal side (23.63%). The most common range of subluxation in all patients was 30°. Comparing the measurement indicators of all patients, ciliary body thickness (CBT) in affected eyes was smaller than that in healthy eyes (0.79 ± 0.21, 1.04 ± 0.16), the distance between ciliary process and crystal equator increased (1.91 ± 0.70, 1.17 ± 0.32), and iris‐ciliary processes distance (ICPD) increased (1.04 ± 0.51, 0.80 ± 0.17) (P < 0.05). The range of subluxation in patients with lens subluxation was positively correlated with the distance between ciliary processes and the crystal equator. Conclusions. The ultrasound biological microscope has a good application significance in the diagnosis of lens subluxation. From this study, we suggest that the three indexes of CBT, ICPD, and the distance between the ciliary process and crystal equator are of high reference value in ultrasound biomicroscopy among patients with lens subluxation.
Application of BP Neural Network and Fixed Effect in the Relationship between CSR and Female Directors
Authors: Lyu Wenwen , Gao Ya , Abdul Salam Zarina
Published: August 2022

This study is to illustrate the two‐way influencing mechanism of female directors’ gender and corporate social responsibility (CSR) of China’s listed companies. According to an empirical test of 3723 enterprises from 2013 to 2020, it reveals that the presence of female directors—especially female executive directors—contributes to the improvement of CSR. In the stage of back propagation (BP) neural network, the model included the overalls of CSR and macroscopic strategic, fulfillment content, and disclosed technology three dimensions. It randomly selects 100 samples, and via BP neural network, it predicts that the RKS‐CSR rating can effectively show that high‐CSR lever enhances the presence of female directors in Chinese listed companies and promotes gender balance in directors’ team, thus achieving gender balance and CSR two‐way sustainable development.
The Exact Solutions for Fractional-Stochastic Drinfel’d–Sokolov–Wilson Equations Using a Conformable Operator
Authors: Al-Askar Farah M. , Mohammed Wael W. , Samura Sallieu K. , El-Morshedy M.
Published: August 2022

The fractional-stochastic Drinfel’d–Sokolov–Wilson equations (FSDSWEs) perturbed by the multiplicative Wiener process are studied. The mapping method is used to obtain rational, hyperbolic, and elliptic stochastic solutions for FSDSWEs. Due to the importance of FSDSWEs in describing the propagation of shallow water waves, the derived solutions are significantly more useful and effective in understanding various important challenging physical phenomena. In addition, we use the MATLAB Package to generate 3D graphs for specific FSDSWE solutions in order to discuss the impact of fractional order and the Wiener process on the solutions of FSDSWEs.
Application Value of Metagenomics Next-Generation Sequencing (mNGS) in Detection of Mucormycosis after Chemotherapy in Childhood Acute Leukemia
Authors: Li Wenzi , Zhu Hua , Wen Li , Quan Meijie , Wang Li
Published: August 2022

Objective. To analyze the application of macrogenomics next-generation sequencing (mNGS) in the detection of postchemotherapy trichomoniasis cases in children with acute leukemia. Methods. To retrospectively analyze the clinical data of 7 patients with acute leukemia combined with trichomoniasis after chemotherapy in the department of hematology and oncology of Hebei Children’s Hospital, and to summarize the characteristics of their postchemotherapy clinical data, diagnostic and therapeutic processes, and outcomes. Results. Among the 7 children, 6 cases had acute lymphoblastic leukemia and 1 case had acute myeloid leukemia. mNGS detected trichoderma infection, including 1 case of pulmonary cerebral type and 6 cases of pulmonary type. After treatment, 1 case died, 2 cases were cured, and 4 cases improved. Conclusion . The clinical manifestations of trichomoniasis after combined chemotherapy in pediatric acute leukemia lack specificity. Early application of the mNGS assay is of great value.
Design of Intelligent Nursing System Based on Artificial Intelligence
Authors: Wu Suzhen
Published: August 2022

As the number of the elderly population and the population dependency ratio increase year by year, the issue of old-age care has become the focus. However, due to the shortage of carers and the large-scale and expensive auxiliary equipment for the elderly, it is difficult to give thoughtful care to all the elderly. In view of the above background, this paper designs a set of intelligent nursing system for the elderly based on artificial intelligence (AI) algorithms, which mainly includes sensor terminals and AI processing algorithms. Among them, the sensor terminal mainly includes two parts: video monitoring and human biological signal monitoring. For video surveillance signals, this paper uses scene event detection algorithm to detect abnormal events, so as to automatically perceive possible unexpected situations. For human biological signals, such as heart rate, blood pressure, and pulse, the abnormal detection is carried out through data analysis and comparison with the normal index range. So, the possible problems in the physical state of the elderly can be judged in time. Through more comprehensive state monitoring and reliable algorithm processing, the system can effectively solve many hidden dangers in the current elderly care and provide a feasible solution for smart nursing.
Bacterial Cellulose-Based Biofilm Forming Agent Extracted from Vietnamese Nata-de-Coco Tree by Ultrasonic Vibration Method: Structure and Properties
Authors: Nguyen Tuan Anh , Nguyen Xuan Canh
Published: August 2022

Bacterial cellulose has recently received more attention in several fields including biology and biomedical applications due to its outstanding physicochemical properties such as thermal stability, biodegradability, good water holding capacity, and high tensile. Cellulose, the most abundant biomolecule on Earth, is available in large amounts in plants. However, cellulose in plants is accompanied by other polymers such as hemicellulose, lignin, and pectin. On the other hand, highly purified bacterial cellulose without impurities is produced by several microorganisms. In which, the most active producer is Acetobacter xylinum. A. This study developed a new process using sonication to isolate bacterial cellulose from nata-de-coco Vietnam. Sonicating time and temperature, two important engineering factors, were considered and discussed (Temperature: 55, 60, 65, 70°C; Time: 15, 30, 60, 90 min). Research results have established that the ultrasonic vibration time of 60 minutes at 65 degrees Celsius gives the best structural properties of BC. The morphology, structural, and thermal properties of the obtained films were investigated by SEM, FTIR, and TGA. Besides, tensile strength was also evaluated. The results show that sonication is not only a favorable technique to isolate cellulose nanofibers but it also enhances their crystallinity.
Effects of Continuous Infusion of Lidocaine under Ultrasound-Guided Cervical Sympathetic Ganglion Catheterization on Cerebral Hemodynamics and Thermal Imaging Characteristics of Head and Neck in Patients with Angioneurotic Headache
Authors: Wang Yeming , Feng Tengchen , Li Shutie , Li Ning , Yang Zhanlong , Sun Xiaojia , Li Fulong
Published: August 2022

Angioneurotic headache is a common headache type in clinical treatment. At present, patients with nervous headache are mainly treated with oral western medicine in clinic, but it is usually difficult to obtain the ideal effect. In this study, we analyzed the effects of continuous lidocaine infusion through an ultrasound-guided cervical sympathetic ganglia (SG) catheter on cerebral hemodynamics and thermal imaging characteristics of head and neck in patients with angioneurotic headache and explored the clinical feasibility of this scheme. The results show that continuous infusion of lidocaine under ultrasound-guided SG catheterization can alleviate headache in patients with angioneurotic headache, which may be related to improving cerebral hemodynamics.
Study on Aesthetic Teaching Methods in Ethnic Music Teaching in Universities in the Context of Intelligent Internet of Things
Authors: Liu Weijia , Shapii Aspalila bt.
Published: August 2022

Folk vocal music is an important part of music majors in colleges and universities (CaU), and the core of music education is AE. Therefore, in vocal music teaching, students should be guided to understand the beauty of music and to use vocal performance as an aesthetic experience so as to cultivate their aesthetic appreciation ability. As one of the national musical instruments, Chinese Zither has a unique musical charm. Its traditional aesthetic value is high, which can bring people beautiful music enjoyment. This paper takes Chinese Zither as an example to study the aesthetic teaching methods in college national instrumental music teaching. In the process of research, we use a combination of a variety of research methods to study two classes of music major in our school. This paper first uses the literature analysis method to elaborate the AE and then uses the questionnaire survey method to study the college students’ understanding and views on the national instrumental music. Then, through the case analysis method, it analyzes the achievements and interest changes of the students after the introduction of aesthetic teaching in Chinese Zither teaching. At the same time, through expert interviews, it summarizes the teaching of national instrumental music in the CaU aesthetic teaching strategy and the use of mathematical analysis on the relevant data processing. This study found that before the introduction of aesthetic teaching in Chinese Zither teaching, the good rate of class 2 students was only 33.33%, and after the introduction of aesthetic teaching in Chinese Zither teaching, the good rate of students in class 2 reached 86.67%. Therefore, the introduction of aesthetic teaching in Chinese Zither teaching can effectively improve students’ learning level. This also shows that in the teaching of ethnic music, the introduction of aesthetic teaching and the combination of aesthetic art and music art can effectively improve the learning level of students.
Application of 18F‐FDG PET/CT in Langerhans Cell Histiocytosis
Authors: Liao Fengxiang , Luo Zhehuang , Huang Zizhen , Xu Rong , Qi Wanling , Shao Mingyan , Lei Pinggui , Fan Bing
Published: August 2022

Purpose. This study aims to explore the application value of the 18F‐FDG PET/CT imaging in diagnosing, staging, and typing Langerhans cell histiocytosis (LCH) via the morphological and metabolic analyses of the 18F‐FDG PET/CT images. Methods. We retrospectively analyzed the 18F‐FDG PET/CT images and clinical data of nineteen patients with LCH. The shape, size, density, distribution, and 18F‐FDG uptake of all lesions were documented. In addition, the SUVmax of the lesions, liver, and blood pool was measured prior to calculating the lesion‐to‐liver and lesion‐to‐blood pool ratios. Results. Among the 19 analyzed patients, the positive rate of the PET/CT image was 94.7% (18/19), with 1 false negative (5.3%, 1/19) case occurring in the cutaneous LCH. Among the 76 lesions, 69 were FDG‐avid lesions (69/76, 90.8%). Additionally, we observed no FDG uptake in 7 lesions (7/76, 9.2%). In contrast, 59 lesions (59/76, 77.6%) were abnormal on diagnostic CT scan, but 17 lesions (17/76, 22.4%) were undetected. The 18F‐FDG PET/CT image revealed additional 6 lesions in the bone, 4 in the lymph node, 3 in the spleen, and 3 occult lesions, which CT scan did not detect. Additionally, there were 6 cases with single‐system LCH. The remaining 13 cases were multisystem LCH. Our 18F‐FDG PET/CT image analyses altered the typing of 4 LCH patients. In the case of all lesions, the mean SUVmax of the 18F‐FDG‐avid lesions was 5.4 ± 5.1 (range, 0.8∼26.2), and the mean lesion‐to‐liver SUVmax ratio was 3.1 ± 2.52 (range, 0.7∼11.9), and the mean lesion‐to‐blood pool SUVmax ratio was 4.6 ± 3.4 (range 0.7∼17.5). Conclusion. The 18F‐FDG PET/CT image plays an essential role in LCH diagnosis, primary staging, and typing. It can accurately evaluate the distribution, range, and metabolic information of LCH, providing a vital imaging basis for the clinical evaluation of disease conditions, selection of treatment schemes, and determining patient prognosis.
A Nested Case‐Control Study of the Relationship between Salivary Inflammatory Mediators, Periodontal Parameters, and Preterm Birth in a Chinese Population
Authors: Wu Min , Ye Chanjuan , Li Huijun , Yang Xiuqiao , Zhu Sujun , Zhou Fangming , Hao Ying , Chen Shaowu , Jiang Shaoyun
Published: August 2022

Background. To explore whether salivary inflammatory mediators and periodontal indices at different gestational stages can be taken as indicators of preterm birth (PTB). Methods. This nested case‐control study enrolled systemically healthy pregnant women at 9 to 36 weeks of gestation. Periodontal indices were measured at the enrollment date, and interleukin‐1β (IL‐1β), IL‐6, tumor necrosis factor (TNF‐α), prostaglandin E2 (PGE2), and 8‐hydroxy‐deoxyguanosine (8‐OHdG) in the saliva were determined by enzyme‐linked immunosorbent assay (ELISA). The birth outcome was recorded. Results. PTB occurred in 26 women. A total of 104 matched women with full‐term birth (FTB) were used as controls. The PTB women enrolled at 24‐28 gestational weeks displayed a significantly greater bleeding index (BI), probing pocket depth (PD), PD ≥ 4 mm sites (%), saliva‐TNF‐α, and saliva‐PGE2 (P < 0.05). BI and PGE2 in the saliva were found to be positively associated with PTB (OR = 4.79, P = 0.048, 95%CI = 1.014 to 22.628; OR = 1.07, P = 0.04, 95%CI = 1.004 to 1.135, respectively). The areas under the receiver operating characteristic curve (ROC) of BI and saliva‐PGE2 were 0.82 and 0.78, respectively, and that of the combined detection was 0.91, which was larger than either marker alone, although the differences were not significant (P > 0.05). Conclusions. The combination of BI and PGE2 in saliva at 24‐28 gestational weeks could be a predictor of PTB in asymptomatic women. However, the results should be further explored with larger sample size.
An Efficient License Plate Detection Approach Using Lightweight Deep Convolutional Neural Networks
Authors: Nguyen Hoanh
Published: August 2022

Benefited from deep convolutional neural networks, various license plate detection methods based on deep networks have been proposed and achieved significant improvements compared with traditional methods. However, the high computational cost due to complex structures prevents these methods from being deployed in real-world applications. This paper proposes an efficient license plate detection method based on lightweight deep convolutional neural networks for improving the detection speed. To extract high-level features from input images, this paper designs a lightweight feature pyramid generation module based on a lightweight architecture and depth-wise convolutions. To further enhance feature pyramid, an efficient feature enhancement module is designed to fuse features generated by the region proposal network with backbone features. In the detection network, a light head structure based on fully connected layers is employed to further reduce the computational cost of the model. In experiments, floating point operations and detection ratio are used to evaluate the efficient of the proposed method. Experimental results on public datasets show that the proposed method achieves the best trade-off between speed and accuracy.
Coaching-Based Teleoccupational Guidance for Home-Based Stroke Survivors and Their Family Caregivers: Study Protocol for a Superior Randomized Controlled Trial
Authors: Zhang Li , Yan Yanning , Sun Zengxin , Ge Xinjing , Qin Xiaolu , Lin Keh-Chung
Published: August 2022

Background. Home-based rehabilitation has been shown to be useful for stroke survivors to participate in daily life activities and return to their families. However, many home-based stroke survivors face challenges in the lack of professional guidance, rational training plans, and insufficient motivation, which will affect their rehabilitation outcomes to varying degrees. Though occupational therapy and coaching are widely recommended for stroke rehabilitation, studies that combine these two interventions via telerehabilitation in home-based rehabilitation are limited. Hence, this study will explore whether coaching-based teleoccupational guidance (CTG) will help stroke survivors and caregivers obtain satisfactory outcomes. Methods. This single-blind (assessor), two-arm parallel superior randomised controlled trial will be conducted in the Hebei General Hospital, Shijiazhuang, China. Ninety-two participant dyads in home-based rehabilitation will be recruited and randomised to either CTG (intervention group) or a standard telerehabilitation group (control group). Participant dyads in the intervention group will follow a 6-step circle procedure and receive 12 teleoccupational coaching sessions over 3 months via WeChat. Data will be collected at baseline, after the intervention (3 months), and follow-up (6 months). The Reintegration to Normal Living Index will be the primary outcome to assess the participation of stroke survivors. Secondary outcomes will not only involve an observation of changes in activities of daily living, intrinsic motivation, motor function, and quality of life of stroke survivors but also will focus on the caregivers’ perceived benefit and care burden. Discussion. This trial will assess the effects of CTG compared with standard telerehabilitation. We believe that the results of this study will add to the understanding of occupational therapy for stroke survivors in home-based rehabilitation and provide a reference for developing health policy and facilitating other chronic management. Trial Registration Number. The Chinese Clinical Trial Registry ChiCTR2200061107.
Risk Prevention of E-Commerce Supply Chain Financial Market Based on High-Performance Computing
Authors: Wang Yingying , Yang Qifeng , Song Ping
Published: August 2022

As an emerging industry, e-commerce mainly relies on online platforms to provide products and services for enterprises and consumers, and it has its own risks in the development of supply chain finance. When developing an online business, it can rely on the support of developed logistics and physical stores, which has its special advantages in operating supply chain finance, but at the same time, it also brings special business risks. With the rapid development of economic level in recent years, the application of EC Supply Chain has become more and more extensive. The emergence of EC Supply Chain has injected strong vitality into the financial market, but at the same time, the EC Supply Chain financial business is also facing huge risks. For cross-border import e-commerce companies, the core of the supply chain is the source of goods and logistics. Enterprises have more resources, which means that they have more initiative in the fierce competition, and a stable and perfect supply chain will be the core competitiveness of the cross-border import e-commerce industry. The purpose of this paper is to study how to prevent risks in the EC Supply Chain financial market based on high-performance computing. This paper puts forward the importance of high-performance computing and the significance of EC Supply Chain development and proposes preventive measures against financial market risks in EC Supply Chain. From the data in the experimental part of this paper, it can be known that the development trend of the risk generated by the EC Supply Chain in 2010 accounted for 6.9%. By 2015, the percentage of the development trend of EC Supply Chain risk was 17.9%, an increase of 11%. It can be seen that the development of EC Supply Chain risk is very rapid, so how to prevent the financial market risk of EC Supply Chain is very urgent. From the data, it can be seen that the exogenous risk in the e-commerce supply chain has a score of 7.4–8.4 for market risk, a score of 7.7–9.1 for economic risk, and the highest score for economic risk. Risk is the biggest risk factor. The characteristics of supply chain risk are not only complex, diverse, and uncertain but also transitive and virtual.
3-DOF Position and Orientation Control of an Air Flotation Platform for Spacecraft Ground Microgravity Simulation by Using Double Closed-Loop Cascade PIDnn
Authors: Wang Siyue , Gao Qing , Liu Jinguo , Feng Jingkai , Liufu Jingshu
Published: August 2022

Space assistant robots can help astronauts or their assistants perform certain tasks. A ground microgravity simulation environment is built for the space assistant robot AAR-2. The hardware requirements of the ground simulation by the 3-DOF microgravity air flotation platform. An algorithm is designed for this simulation system. By using momentum and RMSprop methods to improve the PID neural network, the challenging problem of strong coupling between system nonlinearity and variables is solved. Firstly, the paper introduces the hardware system and deduces the dynamic model of the system. Then, the algorithm is calculated and simulated. Through simulation, the effectiveness and feasibility of the algorithm are compared and proved. Finally, the control system is simulated by MATLAB/Simulink and compared with other advanced algorithms. The simulation results show that the designed neural network controller can quickly and accurately control the 3-DOF of freedom motion of AAR-2.
Intelligent English Translation Based on Intelligent Speech Waveform Analysis
Authors: Meng Jing
Published: August 2022

In order to improve the effectiveness of an intelligent English translation, this paper combines intelligent speech waveform technology to construct an intelligent English translation system. When the modulation method of each signal component is known, this paper takes the overlapping point as the fitting point set and performs fitting with each data point. Moreover, this paper takes the obtained modulation method parameters as eigenvectors and finally performs clustering to obtain the parameter estimation of each single-component signal. In addition, in the case of overlapping points between each linear English speech waveform dataset, this paper finds the overlapping points and processes the overlapping point sets. The simulation test and data statistical analysis results show that the intelligent English translation method based on intelligent speech waveform analysis proposed in this paper can effectively improve the effect of English translation.
m6A Regulator-Based Exosomal Gene Methylation Modification Patterns Identify Distinct Microenvironment Characterization and Predict Immunotherapeutic Responses in Colon Cancer
Authors: Zheng Junjie , Feng Panpan , Chen Dawei , Zhang Cuiyu , Ji Yuge , Liu Yanting , Fan Xiaohua , Li Jingxin
Published: August 2022

Recent studies have highlighted the biological significance of exosomes and m6A modifications in immunity. Nonetheless, it remains unclear whether the m6A modification gene in exosomes of body fluid has potential roles in the tumor microenvironment (TME). Herein, we identified three different m6A-related exosomal gene modification patterns based on 59 m6A-related exosomal genes, which instructed distinguishing characteristics of TME in colon cancer (CC). We demonstrated that these patterns could predict the stage of tumor inflammation, subtypes, genetic variation, and patient prognosis. Furthermore, we developed a scoring mode—m6A-related exosomal gene score (MREGS)—by detecting the level of m6A modification in exosomes to classify immune phenotypes. Low MREGS, characterized by prominent survival and immune activation, was linked to a better response to anti-PDL1 immunotherapy. In contrast, the higher MREGS group displayed remarkable stromal activation, high activity of innate immunocytes, and a lower survival rate. Hence, this work provides a novel approach for evaluating TME cell infiltration in colon cancer and guiding more effective immunotherapy strategies.
A Study on Credit Data-Based Poverty Alleviation in Rural Yunnan, China
Authors: Deng Song , Yang Di , Gao Zhaoli , Yuan Zhen , Yao Chenghui
Published: August 2022

The main path of development credit funds in rural poverty alleviation in Y province is crucial. This paper studies the rural poverty alleviation work in extreme poverty areas in Yunnan and puts forward targeted and instructive policy suggestions for specific difficult areas. Research the relationship between credit resource allocation and rural poverty alleviation. The existing research is mainly based on the relationship between financial development and economic growth, income growth, income distribution, and, on the surface, the relationship between the scale of financial development and the efficiency of financial development and other indicators. The purpose is to put forward targeted measures and suggestions on the basis of theoretical research and model analysis to help the Yunnan banking industry support poverty alleviation. The results of the study show that there is a causal relationship between agriculture-related loans.
Quantitative Identification of Antioxidant Basis for Dendrobium Nobile Flower by High Performance Liquid Chromatography-Tandem Mass Spectrometry
Authors: Rao Dan , Hu Yadong , Zhao Ruoxi , Li Hongjie , Chun Ze , Zheng Shigang
Published: August 2022

Dendrobium nobile is a beautiful orchid and a widely used medicinal plant. In vitro antioxidant assays suggested that D. noblie flower extracts showed significantly higher 2, 2′-azinobis-3-ethylbenzthiazoline-6-sulfonate (ABTS) and 1, 1-diphenyl-2-picrylhydrazyl (DPPH) scavenging rates and much more ferric-reducing power than those of root, stem, leaf and fruit. To better understand the antioxidant basis of D. nobile flower, high-performance liquid chromatography tandem mass spectrometry (HPLC-MS/MS) was used for metabolic identification and quantification. Finally, there were 72 metabolites among the total of 712 identified components showed significant association (coefficient >0.8,

p
<
0.05

) with ABTS scavenging rates, DPPH scavenging rates, and ferric-reducing power. The three enriched classes of flower metabolites, including amino acids and their derivatives, organic acids and their derivatives, and flavonoids, formed the main antioxidant basis. The significantly accumulated rutin, astragalin, isomucronulatol-7-O-glucoside, quercetin 4′-O-glucoside, methylquercetin O-hexoside, caffeic acid, caffeic acid O-glucoside, and p-coumaric acid (Log2(fold change) >2,

p
<
0.01

, distribution in flower >0.1%) made a key contribution to the higher antioxidant activities in flower. The relative quantification results of HPLC-MS/MS were verified by the common quantification methods. The antioxidant basis revealed of D. nobile flower will be helpful in the production of healthy or beauty products.
The Human-in-the-Loop Data Sensing Architecture Based on Edge Cloud Computing
Authors: Gao Chen
Published: August 2022

The cloud system structure is limited by sensor data processing to handle real-time constancy and mobility. To solve such a problem, this paper proposes a system structure based on edge cloud computing and human perception of data in the ring and explores its application in big data analysis. Specifically, a three-layer data flow computing structure composed of a wireless network, edge cloud system, and central cloud system is constructed. In terms of data flow structure, a mobile service structure supporting real-time operation and mobility is proposed. Based on such a structure, an edge cloud data awareness structure is further proposed. Moreover, a flexible storage structure that can be used to support different types of applications is designed to optimize the sensor system and improve the reliability of data storage. The experimental results show that the system structure based on edge cloud terms reduces the server failure rate and total utilization due to the capacity of VMs. Besides, its performance is much better than the existing structure in terms of maintenance and data processing time. Finally, the result of the edge of the cloud computing solution can save 19% on time than the original scheme.
Study of Surface Roughness of Cutting Isothermally Hardened Ductile Iron in Tosa Knife Forging Technique Based on Intelligent Calculation
Authors: Zhang Xing
Published: August 2022

With a long history of more than 600 years of development, the Achang Tosa knives have always been handmade and made in strict accordance with tradition and absorbing the essence of foreign cultures. It is not only a tool or a gift, but also a “knife culture” and a local “folk culture” with local ethnic characteristics in Yunnan. In this paper, we begin our research on the Achang Tosa knives by compiling literature and conducting field research to investigate the “knife culture” jointly created by the Achang and neighboring ethnic groups by studying the forging process of the Achang Tosa knives. Three sets of specimens were prepared and the mechanical properties were determined by combining the existing isothermal quenched ductile iron (ADI) material production, and a high-speed cutting test was carried out with a CC650 ceramic tool to investigate the relationship between the machined material, tool material, and cutting dosage-surface roughness during high-speed cutting of ADI; based on the particle swarm algorithm, a theoretical model between surface roughness and cutting parameters was established to provide theoretical guidance for the optimal production process of ADI in high-speed cutting. It provides more valuable experience for the protection of intangible cultural heritage of ethnic minorities and also provides reference for the development and protection of unique crafts of other ethnic minorities.
Risk Factors for Progression of CKD with and without Diabetes
Authors: Zhang Xiaohong , Fang Yuan , Zou Zhenhuan , Hong Pianpian , Zhuo Yongjie , Xu Yanfang , Wan Jianxin
Published: August 2022

Objective. We aim to identify independent risk factors to predict CKD progression to end stage renal disease (ESRD) in patients with or without diabetes. Methods. In this retrospective study, we enrolled CKD stage 3-4 patients between January 2013 and December 2018 and followed them until December 2020 or the initiation of dialysis. We used Kaplan-Meier to plot the survival curve. Univariate and multivariable Cox proportional hazards model was used to explore risk factors affecting the progression of CKD. The final model was used to construct nomogram for predicting CKD progression. Calibration plots and concordance index (C-index) were used to evaluate the accuracy and discrimination of the risk model. Results. We enrolled 309 CKD patients, including 80 cases in G3a, 98 cases in G3b, and 131 cases in G4. Among them, 141 patients had diabetes and 168 did not. The mean age of patients at enrolled was 57.86 ± 15.10 years, and 67% were male. The median follow-up time was 25.6 months. There were 81 patients (26.2%) that started dialysis in the total CKD cohort, 52 cases (36.9%) in the CKD with diabetes group, and 29 cases (17.3%) in the CKD without diabetes group. Hypoalbuminemia (HR =2.655,

P
<
0.001

), proteinuria (HR =2.592,

P
=
0.042

), increased LDL (HR =2.494,

P
<
0.001

), diabetes (HR =2.759,

P
<
0.001

), hypertension (HR =3.471,

P
=
0.037

), and CKD stage (HR =2.001,

P
=
0.046

) were risk factors for CKD progression to ESRD in the overall population. For those without diabetes, only hypoalbuminemia (HR =2.938,

P
=
0.030

) was a risk factor for CKD progression to ESRD. For those with diabetes, both hypoalbuminemia (HR =2.758,

P
=
0.002

), the increased level of LDL (HR =3.982,

P
<
0.001

), and CKD stage (HR =3.781,

P
=
0.001

) were risk factors for CKD progression to ESRD. The C-index of the final nomograms was 0.760 (

P
<
0.001

). Conclusions. The results from our risk factor model suggest that CKD disease progression can be predicted and early strategic intervention is necessary for CKD patients to avoid renal function deterioration.
PointTransformer: Encoding Human Local Features for Small Target Detection
Authors: Tang Yudi , Wang Bing , He Wangli , Qian Feng , Liu Zhen
Published: August 2022

The improvement of small target detection and obscuration handling is the key problem to be solved in the object detection task. In the field operation of chemical plant, due to the occlusion of construction workers and the long distance of surveillance shooting, it often leads to the phenomenon of missed detection. Most of the existing work uses multiple feature fusion strategies to extract different levels of features and then aggregate them into global features, which does not utilize local features and makes it difficult to improve the performance of small target detection. To address this issue, this paper introduces Point Transformer, a transformer encoder, as the core backbone of the object detection framework that first uses a priori information of human skeletal points to obtain local features and then uses both self-attention and cross-attention mechanisms to reconstruct the local features corresponding to each key point. In addition, since the target to be detected is highly correlated with the position of human skeletal points, to further boost Point Transformer’s performance, a learnable positional encoding method is proposed by us to highlight the position characteristics of each skeletal point. The proposed model is evaluated on the dataset of field operation in a chemical plant. The results are significantly better than the classical algorithms. It also outperforms state-of-the-art by 12 percent of map points in the small target detection task.