bluuebunny/crossref_metadata_2025 huggingface dataset:
[Retracted] Predicament and Outlet: The Deep Fusion of Information Technology and Political Thought Teaching in Institution of Higher Learning under the Background of Fragmented Learning Environment
Authors: Wen Xueqiu
Published: September 2022

The ongoing integration of IT with various disciplines is a result of IT’s constant penetration of the educational sector. This paper investigates how to further promote the deep integration of IT and political thought courses in institution of higher learning based on the fragmented learning background, starting from the current teaching situation of political thought courses in institution of higher learning, based on modern educational theory and supported by IT. Strengthening the relevance and affinity of political thought courses in institutions of higher learning and more effectively implementing the political thought instructional resource are examples of new approaches that can be explored to increase the effectiveness of political thought education and teaching. The integration model of political thought course instructional resources in higher education institutions is also constructed in this paper. According to the user’s interest characteristics, the instructional resources are filtered, and the search service and recommendation service of political thought instructional resources are few but adequate. This model introduces personalized information service based on network into the instructional resource system, learning, and tracking users’ personalized interests. The results of the experiments demonstrate that this algorithm has an accuracy of up to 95.03 percent. IT has a certain degree of applicability and dependability, and this study can offer valuable reference material for the deep integration of IT and political thought teaching in institutions of higher education against the backdrop of fragmented learning.
An Optimized Approach for Predicting Water Quality Features Based on Machine Learning
Authors: Suwadi Nur Afyfah , Derbali Morched , Sani Nor Samsiah , Lam Meng Chun , Arshad Haslina , Khan Imran , Kim Ki-Il
Published: September 2022

Traditionally, water quality is assessed using costly laboratory and statistical methods, rendering real-time monitoring useless. Poor water quality requires a more practical and cost-effective solution. The machine learning classification approach appears promising for rapid detection and prediction of water quality. Machine learning has been used successfully to predict water quality. However, research on machine learning for water quality index (WQI) prediction is generally lacking. Therefore, this research aims to identify the important features for the WQI, which necessitated the classification of numerous indicators. This study develops four machine learning models (Artificial Neural Network, Support Vector Machine, Random Forest, and Naïve Bayes) based on the WQI and chemical parameters. The Langat Basin in Selangor dataset from the Department of Environment of Malaysia trains and validates each machine learning model. Several data preprocessing tasks such as data cleaning and feature selection have been conducted on the raw dataset to ensure the quality of the training data. The performance of these machine learning algorithms is further rectified based on the selected features set by several feature selection strategies such as information gain, correlation, and symmetrical uncertainty. Each classifier is then optimized using different tuning parameters to achieve optimum values before comparing the output of the three classifiers against each other. The observational results have shown that the optimized Random Forest classifier with the WQI parameter selected by the information gain feature selection method achieved the highest performance. The experimental results show that the WQI parameters are more relevant in predicting the WQI than the other variables. Consequently, this result shows that parameter oxygen (DO) and biochemical oxygen demand (BOD) are important features for predicting WQI. The proposed model achieved reasonable accuracy with minimal parameters, indicating that it could be used in real-time water quality detection systems.
Polyethylene Glycol 3350 in the Treatment of Chronic Idiopathic Constipation: Post hoc Analysis Using FDA Endpoints
Authors: Menees Stacy B. , Lembo Anthony J. , Chey William D.
Published: September 2022

Background & Aims. The efficacy and safety of polyethylene glycol 3350 for chronic idiopathic constipation have been demonstrated in randomized controlled trials. A new US Food and Drug Administration-recommended primary efficacy endpoint for evaluating chronic idiopathic constipation prompted our reevaluation of previously reported clinical data with polyethylene glycol 3350. Methods. This multicenter, double-blind, placebo-controlled, parallel-group trial included adults with chronic idiopathic constipation randomized to polyethylene glycol 3350 17 g (n = 204) or placebo (n = 100) once daily for 24 weeks. Post hoc analyses were performed using the US Food and Drug Administration endpoint (≥3 complete spontaneous bowel movements/week and an increase of ≥1 complete spontaneous bowel movement/week from baseline for ≥9/12 weeks, including 3 of the last 4 weeks) along with additional efficacy and safety outcomes. Results. The proportion of patients meeting the new endpoint was significantly higher with polyethylene glycol 3350 vs placebo (42% vs 13%;

P
<
0.0001

). Reductions in the mean number of hard/lumpy stools/week (–2.1 vs –0.9;

P
=
0
.0014

) and the weekly mean five-point cramping rating (–0.3 vs –0.1;

P
=
0
.0272

) also significantly favored polyethylene glycol 3350. The proportion of subjects with gastrointestinal adverse events decreased markedly after the first week of treatment in the polyethylene glycol 3350 group. Conclusion. Using the current US Food and Drug Administration-recommended responder definition and other secondary outcomes, once-daily polyethylene glycol 3350 demonstrated substantial and sustained efficacy and safety over 24 weeks in patients with chronic idiopathic constipation. Trial Registration. The original trial was registered with https://clinicaltrials.gov Trial: NCT00153153.
A Novel Nonlinear Quadrotor Attitude Regulation with Disturbances and Preassigned Convergences
Authors: Gao Yanping , Zhen Shiyu , Zhang Lihong , Liu Zuojun
Published: September 2022

This article develops a novel unknown system dynamic estimator-based funnel control scheme for nonlinear quadrotor attitude regulation with preassigned convergence subject to parametric uncertainties and external perturbations. An invariant manifold equipped with first-order filtering is established. To online identify the lump disturbances, an unknown system dynamic estimator is employed with a simple formula, which need a lower computation burden. Based on aforementioned estimator, a novel funnel control via utilizing funnel variable is investigated, where an exponentially decaying funnel function is preset with a prior preassigned convergence for regulation angle error. The angle tracking errors are proved to be ultimately uniformly bounded, and angle regulation error can evolve within the preset funnel boundary. Simulation results demonstrate the effectiveness of the developed control scheme.
[Retracted] Gut Microbiota Profiles in Dairy Cattle from Highland and Coastal Regions Using Shotgun Metagenomic Approach
Authors: Prasetiyono Bambang Waluyo Hadi Eko , Widiyanto Widiyanto , Pandupuspitasari Nuruliarizki Shinta
Published: September 2022

There is significant difference in milk production of highland and coastal regions in Indonesia of which the latter is critically low. The recent studies indicate a possibility of improving the milk yield and quality by manipulating the gut microbiota, for which profiling and abundance of gut microbiota in these divergent regions need to be addressed. The present study was the first of its kind to explore the dairy cattle gut microbiota diversity, abundance, and functional annotation of the two divergent Indonesian regions, the highland and coastal regions, by shotgun metagenomic approach. Unfavorable environmental conditions such as type of forage grass in coastal regions and high temperature remain a limiting factor; however, the improvement through manipulating the gut microbiota was not considered until recently to improve the quality and quantity of coastal region dairy cattle. The application of recent advance technologies can help achieve this goal on sustainable basis. The results show Bacteroidetes in higher abundance in coastal region (FPP) than in highland (Salatiga) while Firmicutes were higher in Salatiga. Furthermore, a collective physiology of the community was found by annotating the sequences against KEGG, eggNOG, and CAZy databases. To identify the role in pathways, an mPATH analysis was performed to have insight into the microbiota community in different metabolic pathways. The identified targets can be used as prebiotic and/or probiotic to improve the average milk yield of coastal region dairy cattle by manipulating the dairy feed with desired microbes.
Study on Masking the Bitterness of Chinese Medicine Decoction-Mate
Authors: Hou Fuguo , Miao Yan , Wu Xiangxiang , Gui Xinjing , Wang Yanli , Li Haiyang , Shi Junhan , Zhang Lu , Yao Jing , Li Xuelin , Liu Ruixin
Published: September 2022

Background. Traditional Chinese medicine decoction (TCMD) is an oral liquid made by decocting crude medicinal compounds with water. It has complex compositions and diverse odor and taste, most of which have an unacceptable level of bitterness which seriously affects patients’ medication compliance. To solve this problem, a variety of taste-masking pathways and different types of taste-masking excipients were combined, using the application of coffee-mate to mask the bitterness of coffee as an existing example. Three composite taste-masking adjuvants were developed to improve the taste of TCMD, referred to as the Chinese Medicine Decoction-Mate (CMD-M). However, whether CMD-M has a good taste-masking effect and whether it affects the chemical compositions and pharmacological effects of the medicine remain unclear. Method. The commonly used pediatric medicine Qingre Huazhi Decoction (QRHZD) and the personalized decoctions used in clinical practices were used as the masking research carriers. The taste-masking effect of CMD-M on QRHZD was evaluated by both healthy volunteers and an electronic tongue, and the personalized decoctions were evaluated by clinical subjects. The changes of chemical components of QRHZD before and after taste-masking were evaluated by HPLC. The changes in anti-inflammatory effects were evaluated by establishing mice as an acute inflammatory model. Results. The taste-masking effect evaluation results showed that the bitterness of QRHZD was significantly reduced after adding CMD-M. There was no significant difference in the relative peak areas change rate and total peak areas ratio of common peaks of QRHZD before and after taste-masking (

P
>
0.05

), shown by HPLC analysis. The inhibitory rates of QRHZD on ear swelling in mice before and after taste-masking also showed no significant difference (

P
>
0.05

). Conclusions. CMD-M can effectively mask the bitterness of decoctions while bringing no significant difference overall in chemical compositions and pharmacological effects before and after QRHZD masking.
Multiobjective Planning for Logistics Distribution of Consumer Electronic Items Based on Improved Genetic Algorithm
Authors: Tian Rongming , Tang Yan
Published: September 2022

With the increasing uncertainty of customer demand, order management that takes into account the uncertainty of customer demand is important in the supply chain between distribution bases (distribution centers, RDCs, etc.) and large retailers. A multisite delivery planning system is recommended to scale past to handle a single product. Aiming at the logistics distribution problem of consumer electronic products, the problem is attributed to a multiobjective optimization problem, and an improved genetic algorithm is used to deal with it. Combined with the situation, this paper proposes a multiproject (multiproject delivery mass production planning system) and studies the narrative problem description, formula, solution sequence, and case analysis results. The experimental results show that this method can effectively improve the logistics distribution efficiency by 18% and reduce the distribution cost by 34%, by finding the optimal distribution path, reducing the total cost of low-carbon distribution of fresh products, improving customer satisfaction, reducing energy consumption, and achieving economic and social benefits for enterprises.
A Nomogram to Better Predict the In-Hospital Mortality of Trauma Patients with Sepsis in the Intensive Care Unit
Authors: Qi Jing , Xie Qin , Li Zhenzhou , Sun Chuanzheng
Published: September 2022

Background. Trauma has a high incidence and mortality worldwide, and sepsis is one of the main causes of mortality in trauma patients. Therefore, it is essential to identify the risk factors of in-hospital mortality for trauma patients with sepsis. Methods. Data were extracted from the Medical Information Mart for Intensive Care III database and divided into a training set and internal validation set, and another Chinese dataset was used as external validation set. Then, risk factors were estimated using univariate and multivariate logistic regression analyses in the training set. Finally, a nomogram was created to predict the probability of in-hospital mortality for trauma patients with sepsis. Results. A total of 503 patients were enrolled in our study (335 in the training set and 168 in the validation set). Multivariate logistic regression analysis revealed that age (1.047 [1.025–1.071]), respiratory rate (1.258 [1.135–1.394]), PTT (1.026 [1.008–1.044]), ventilation (6.703 [1.528–29.408]), and vasopressor use (3.682 [1.502–9.025]) were independent factors associated with in-hospital mortality. The nomogram for trauma-related sepsis predicted in-hospital mortality with AUC values of 0.8939 in the training set, 0.8200 in the internal validation set, and 0.7779 in the external validation set. Conclusions. The new nomogram has a well predicted value for in-hospital mortality for patients with trauma and sepsis in intensive care units.
[Retracted] Clinical Significance of Protective Motivation Intervention Nursing on Functional Recovery of Patients after Hip Arthroplasty
Authors: Yuan Xue , Xu Fengqin , Zhu Shou Lin , Huo Lijuan , Chen Ying
Published: September 2022

Objective. To explore the clinical significance of protective motivation intervention nursing on functional recovery of patients after hip arthroplasty. Methods. Sixty patients after hip arthroplasty treated in our hospital from February 2019 to April 2021 were selected. The patients were randomly divided into the control group and the research group. The routine nursing mode was adopted in the control group, and the protective motivation intervention nursing mode was adopted in the research group. Nursing satisfaction, FIM score, Harris hip function score, WOMAC score, Barthel index score, and quality of life score were compared between the two groups. Results. The nursing satisfaction of the research group was higher than that of the control group, and there are statistically significant differences between the groups (P < 0.05). The FIM scores of the research group at discharge and 1 month, 3 months, and 6 months after discharge were significantly higher than those in the control group. The Harris hip function score of the research group was significantly higher than that of the control group at discharge and 1 month, 3 months, and 6 months after discharge. The WOMAC scores of the research group at discharge and 1 month, 3 months, and 6 months after discharge were significantly lower than those in the control group, and the difference was statistically significant (P < 0.05). The scores of the Barthel index at discharge and 1 month, 3 months, and 6 months after discharge in the research group were significantly higher than those in the control group. The scores of physiological function, psychological function, social function, and health self‐cognition in the research group were significantly lower than those in the control group, and the difference was statistically significant (P < 0.05). Conclusion. The nursing model of protective motivation intervention for patients after hip arthroplasty can effectively improve the function of hip joint, improve the quality of life, promote the establishment of harmonious nurse‐patient relationship, and play a positive role in improving the prognosis of patients.
Parameter-Tunable RBF Neural Network Control Facing Dual-Joint Manipulators
Authors: Xu Weiying
Published: September 2022

In order to improve the parameter control effect of the double-joint manipulator, this paper combines the RBF neural network to control the parameters of the double-joint manipulator and the command filtering backstep impedance control method based on the RBF neural network is effectively applied to the multijoint manipulator. Moreover, this paper introduces the filter error compensation mechanism into the controller design to eliminate the influence caused by the filter error. Finally, the effectiveness and superiority of the command filtering backstep impedance control scheme of the multijoint manipulator adaptive neural network designed in this paper is verified by simulation experiments. The experimental research results verify that the parameter-tunable RBF neural network control method facing the dual-joint manipulator has a certain effect on the parameter control process of the dual-joint manipulator and can effectively improve the motion accuracy of the dual-joint manipulator.
Hybrid Pulse High-Frequency Voltage Injection Control Algorithm of Sensorless IPMSM for Vehicles
Authors: Wu Jingbo , Wang Yongwei , Guo Zhijun
Published: September 2022

A hybrid pulse vibration high-frequency voltage signal injection method is proposed to solve the problems that the conventional sensorless control algorithm of vehicle IPMSM may generate a large estimated rotor position error and opposite directions in identifying the polarity of magnetic poles under zero-speed and high-torque starting and low-speed operation. The magnetic pole polarity is identified by the saturation effect of the flux chain by injecting a high-frequency sinusoidal voltage signal and opposite pulse voltage signal into the axis

d
^

of the assumed coordinate system simultaneously. Subsequently, the position relationship between the assumed

d
^

axis and the actual d axis is studied in accordance with the amplitude of response current to acquire the rotor position and speed information. The simulation and experimental results suggest that the algorithm is capable of accurately identifying the magnetic pole polarity and estimating the rotor position at zero speed and low speeds, starting the motor smoothly at zero speed, and then operating the motor stably at low speeds.
Design of Financial Management Talent Training Model under Demand Coupling Mechanism and IoT Applications
Authors: Guo Ying
Published: September 2022

The financial environment of businesses and institutions has significantly changed due to the development of new technologies and the deepening of vocational education reform. The Financial Management Department is, in theory, responsible for the financial management of the company. Specialty benefits from both the accounting and finance specialties. The advanced stage of corporate financial activity management is cash-related management. As a result, the social demand subject should praise graduates of the financial management specialty. The subject of social demand is also a good motivation to raise proficient capacity necessities for graduates. Regardless, there is a huge hole among organic market for proficient capacity under the current ability preparing model, in light of the fact that numerous schools and colleges that set monetary administration claims to fame are uncertain of the expert capacity necessities of the social interest subject, monetary in nature. Graduates in executive positions are in a more humiliating position on the job market. In light of this, this paper proposes the basic idea of talent training model innovation in the financial management specialty, based on an analysis of the status and causes of professional ability supply and demand. The board specialises in determining talent training goals, revising professional talent training programs, respecting the central status of students, and engaging in innovative teaching activities. Using Sichuan University of Arts and Science as an example, this paper examines the current state of practice teaching of financial management in colleges and universities, incorporates course practice content into the national vocational and technical certificate, promotes the integration of professional courses and vocational qualification certificates, discusses the new mode of practice instructing of university-enterprise cooperation, and makes recommendations. With the quick movement of the economy and society, the force of science and innovation, similarly as steady getting the hang of; perception; and usage of the significance of data and capacity progression has never been more prominent. Schools are the establishment for propelling one’s capacities. China as of now has an enormous number of colleges, showing that 100 blossoms are growing and 100 distinct perspectives are contending. Each school has its own unmistakable character and attributes. Regardless, the mirror of market economy obviously mirrors the condition of the economy contamination, commitment, bad behaviors, and veritable financial discipline encroachment of endless high-situating insightful individuals, addressing a real test to school capacity improvement.
[Retracted] Application of Punitive Damages in Intellectual Property Law in Complex Network Environment
Authors: Mu Xiangming
Published: September 2022

Many IP (intellectual property) will also be infringed, and it will become more and more serious, causing huge economic losses to people or groups who own IP. If punitive damages can be made for intentional but intentional infringement of IP, it will help to stop intentional infringement of IP, and it can also give due compensation to the obligee’s loss. Based on this, this paper analyzes the introduction and implementation of punitive damages in IP law. In this paper, a relatively efficient text classification method is realized by using the method of deep learning and model design. Similar texts in the training set are grouped into a group, and each group is considered as a common text vector. Then, a threshold is set to deal with clusters higher than the threshold, and the training set is reformed. Through the experimental results, the feature extraction effect of this model is improved, the classification accuracy is constantly improved, and the final convergence rate of this model reaches 95%. It has been verified that the system can realize the automatic classification of basic Chinese patent texts.
Characterization of a New Fiber from Cyperus Dichrostachus A.Rich Plant
Authors: Baye Belete , Tesfaye Tamrat
Published: September 2022

Natural fibers have been good substitute sources for swapping synthetic fibers and reinforcing polymer matrices because of their contributions in maintaining ecology, low energy requirement for processing, and maintaining sustainability issues. The aim of this study was to characterize a new fiber from Cyperus Dichrostachus A.Rich (CDA) plant. The CDA plant is a perennial nonwoody grass found in Ethiopian high lands and river basins. The fiber from this plant has a chemical composition of cellulose (60.27%), hemicellulose (22.72%), and lignin (16.59%) contents. It has a density of 1010 kg/m3 and good tenacity of 105.76 cN/Tex with low elongation of 4.88%. The thermal stability of Cyperus Dicrostachus A.Rich fiber (CDAF) was studied using TGA and DTG analyses and revealed that the cellulose degraded at a temperature of 377.1°C. Fourier transform-infrared spectroscopy analysis confirmed that CDAF is rich in cellulose content. Additionally, CDAF can play a vital role as a new reinforcement material and best alternative in bio composite industries. This will give competitive advantages when evaluated with other natural fibers and reveal that there are significant potential benefits in implementation of “cleaner production” in textile material production industries. Specifically, the replacement of synthetic fiber source with renewable biomass will reduce the environmental impact of these fibers. The future study will be focused on investigating the possible valorization route, especially in paper board, composite reinforcement, and bio composite applications.
COVID‐19 Vaccine Acceptance and Uptake among Healthcare Workers in Trinidad and Tobago
Authors: Gopaul Chavin D. , Ventour Dale , Thomas Davlin
Published: September 2022

Background. COVID‐19 vaccine acceptance is important in ensuring the widespread vaccination of the population to achieve herd immunity. Establishing the acceptance of vaccines among healthcare workers, who play a vital role in an immunization program’s success, is important. The aim of this study was to assess the influence of social trust and demographic factors on COVID‐19 vaccine acceptance among healthcare workers. Methods. A cross‐sectional survey utilizing an electronic questionnaire inquiring about COVID‐19 vaccine uptake, preferences, and concerns was distributed via e‐mail to 1,351 North Central Regional Health Authority (NCRHA) healthcare workers of the following categories: medical practitioners, nursing personnel, veterinary surgeons, medical interns, dental interns, paramedics, and pharmacists. These professions were selected as they were granted power to administer COVID‐19 vaccines during the period of public emergency by the President of Trinidad and Tobago and were therefore likely to be NCRHA healthcare workers directly involved in vaccine administration services. Bivariate analysis using Chi‐squared analysis of association was used to determine the association between the respondents’ characteristics and the acceptance of the vaccine and the association between vaccine acceptance among healthcare workers and trust. The association between the acceptance of the COVID‐19 vaccines and healthcare workers’ characteristics and trust was established using multinomial logistic regression. Results. A total of 584 healthcare workers took part in the study, and 1.4% showed unwillingness to receive the COVID‐19 vaccine. The study indicates that age, profession, trust in international public health organizations, and trust in other healthcare providers predict the uptake of COVID‐19 vaccines among healthcare workers, with younger age groups and the nursing profession associated with an unwillingness to accept the vaccine. Gender of the healthcare workers does not predict vaccine acceptance. Conclusions and relevance: efforts towards enhanced vaccine acceptance among healthcare workers should take into consideration age, profession, and the trust in international organizations and other healthcare providers. Sensitization programs aimed at informing and creating awareness among healthcare workers about the COVID‐19 vaccines should be age‐specific as well as occupation‐based.
[Retracted] Effect of Sufentanil Combined with Nalmefene Assisted Surface Anesthesia on Transnasal Endotracheal Intubation Guided by Fiberoptic Bronchoscope
Authors: Zhao Zhanqi , Zhang Junting , Zhan Yuru , Wang Zhongqun
Published: September 2022

In order to study the clinical effect of sufentanil combined with nalmefene in fiberoptic bronchoscopy tracheal intubation in airway patients, a method based on sufentanil combined with nalmefene‐assisted topical anesthesia for fiberoptic bronchoscopy‐guided nasotracheal intubation method is proposed. This method retrospectively analyzed 100 patients with difficult airways who underwent fiberoptic bronchoscope tracheal intubation in the Central Hospital from January 2021 to November 2021. The analysis results showed that compared with the control group, the patients in the study group had a significantly lower cough score, a higher Ramsay sedation score, a lower mean arterial pressure, and a lower number of patients with hypoxia (P < 0.05). There was no significant difference in postoperative hoarseness and sore throat between the two groups. Sufentanil combined with nalmefene has a better anesthesia effect and higher safety for bronchofiberscope intubation in patients with difficult airways.
Effects of CoQ10 Replacement Therapy on the Audiological Characteristics of Pediatric Patients with COQ6 Variants
Authors: Nam Dong Woo , Park Sang Soo , Lee So Min , Suh Myung-Whan , Park Moo Kyun , Song Jae-Jin , Choi Byung Yoon , Lee Jun Ho , Oh Seung Ha , Moon Kyung Chul , Ahn Yo Han , Kang Hee Gyung , Cheong Hae Il , Kim Ji Hyun , Lee Sang-Yeon
Published: September 2022

Primary coenzyme Q10 (CoQ10) deficiency refers to a group of mitochondrial cytopathies caused by genetic defects in CoQ10 biosynthesis. Primary coenzyme Q10 deficiency‐6 (COQ10D6) is an autosomal recessive disorder attributable to biallelic COQ6 variants; the cardinal phenotypes are steroid‐resistant nephrotic syndrome (SRNS), which inevitably progresses to kidney failure, and sensorineural hearing loss (SNHL). Here, we describe the phenotypes and genotypes of 12 children with COQ10D6 from 11 unrelated Korean families and quantitatively explore the beneficial effects of CoQ10 replacement therapy on SNHL. A diagnosis of SRNS generally precedes SNHL documentation. COQ10D6 is associated with progressive SNHL. Four causative COQ6 variants were identified in either homozygotes or compound heterozygotes: c.189_191delGAA, c.484C>T, c.686A>C, and c.782C>T. The response rate (no further hearing loss or improvement) was 42.9%; CoQ10 replacement therapy may thus limit and even improve hearing loss. Notably, the audiological benefit appeared to be genotype‐specific, suggesting a genotype–phenotype correlation. The results of cochlear implantation were generally favorable, and the effects were sustained over time. Our results thus propose the beneficial effects of CoQ10 replacement therapy on hearing loss. Our work with COQ10D6 patients is a good example of personalized, genetically tailored, audiological rehabilitation of patients with syndromic deafness.
Research on Tennis Motion Evaluation Method and System Based on Deep Learning
Authors: Chang Huan
Published: September 2022

The current tennis training lacks the guidance to standardize the user action evaluation method; it is difficult to use the human movement analysis related technology to evaluate the user action and feedback. In this paper, a real-time evaluation algorithm for human movements in tennis training with the monocular camera is studied. Aiming at solving the problem of making use of temporal and spatial information of behavior sequence, an improved preprocessing algorithm based on depth image and bone data was proposed, and bone joint feature vectors were constructed to describe the topological shape of the human skeleton. A five-channel convolutional neural network (5C-CNN) model is proposed to effectively train multimodal behavior data. In order to solve the problem of human motion direction, the counterclockwise rotation angle of limbs was proposed as a motion evaluation feature. The experimental test on the MSR Action 3D database shows that the accuracy of the method for tennis movement evaluation reaches 98.1%, which verifies the validity of the model construction.
On a Predator-Prey Model Involving Age and Spatial Structure
Authors: Sougué Okana S. , Traoré Oumar
Published: September 2022

In this paper, we study the mathematical analysis of a nonlinear age-dependent predator–prey system with diffusion in a bounded domain with a non-standard functional response. Using the fixed point theorem, we first show a global existence result for the problem with spatial variable. Other results of existence concerning the spatial homogeneous problem and the stationary system are discussed. At last, numerical simulations are performed by using finite difference method to validate the results.
The Effect of Human Bone Marrow Mesenchymal Stem Cell-Derived Exosomes on Cartilage Repair in Rabbits
Authors: Yang Hongwei , Cong Meng , Huang Weixiao , Chen Jin , Zhang Min , Gu Xiaosong , Sun Cheng , Yang Huilin
Published: September 2022

Mesenchymal stem cells (MSCs) have shown chondroprotective effects in cartilage repair. However, side effects caused by MSC treatment limit their application in clinic. As a cell-free therapy, MSC-derived exosomes (EXOs) have attracted much more attention in recent years. In the present study, we prepared EXOs from human bone marrow mesenchymal stem cells (hBMSCs) and examined their therapeutic potentials in cartilage repair. Our results showed that the prepared extracellular vesicles exhibit classical features of EXOs, such as cup-like shape, around 100 nm diameter, positive protein markers (CD81, TSG101, and Flotillin 1), and ability of internalization. In primary chondrocytes, the treatment of hBMSC-EXOs markedly increases cell viability and proliferation in a dose-dependent manner. Moreover, wound healing assay showed that hBMSC-EXOs accelerate cell migration in primary chondrocytes. JC-1 staining revealed that the mitochondrial membrane potential was enhanced by hBMSC-EXOs, indicating cell apoptosis was decreased in the presence of hBMSC-EXOs. In rabbits with articular cartilage defects, local administration with hBMSC-EXOs facilitates cartilage regeneration as evidenced by gross view and hematoxylin-eosin (H&E) and Saf-O/Fast Green staining. In addition, the International Cartilage Repair Society (ICRS) score was increased by the application of hBMSC-EXOs. Overall, our data indicate that the treatment with hBMSC-EXOs is a suitable cell-free therapy for treating cartilage defects, and these benefits are likely due to improved cell proliferation and migration in chondrocytes.
Investigation of Anti-Liver Cancer Activity of the Herbal Drug FDY003 Using Network Pharmacology
Authors: Lee Ho-Sung , Lee In-Hee , Park Sang-In , Jung Minho , Yang Seung Gu , Kwon Tae-Wook , Lee Dae-Yeon
Published: September 2022

Globally, liver cancer (LC) is the sixth-most frequently occurring and the second-most fatal malignancy, responsible for 0.83 million deaths annually. Although the application of herbal drugs in cancer therapies has increased, their anti-LC activity and relevant mechanisms have not been fully studied from a systems perspective. To address these issues, we conducted a system-perspective network pharmacological investigation into the activity and mechanisms underlying the action of the herbal drug. FDY003 reduced the viability of human LC treatment. FDY003 reduced the viability of human LC cells and elevated their chemosensitivity. There were a total of 16 potential bioactive chemical components in FDY003 and they had 91 corresponding targets responsible for the pathological processes in LC. These FDY003 targets were functionally involved in regulating the survival, proliferation, apoptosis, and cell cycle of LC cells. Additionally, we found that FDY003 may target key signaling cascades connected to diverse LC pathological mechanisms, namely, PI3K-Akt, focal adhesion, IL-17, FoxO, MAPK, and TNF pathways. Overall, this study contributed to integrative mechanistic insights into the anti-LC potential of FDY003.
Fault Early Warning Based on Improved Deep Neural Network of Auto-Encoder
Authors: Hao Huijuan , Yuan Huimiao , Tang Yongwei , Zhang Yu , Zhao Yuanyuan , Wei Qingxuan
Published: September 2022

In order to realize rapid fault detection and early warning, a fault detection method based on normal operation data is proposed. Firstly, the fault detection model is constructed based on the improved deep neural network of the auto-encoder. Secondly, the unsupervised pretraining and supervised fine-tuning of the network are finished through the operation data in a normal state to solve the contradiction between the small fault sample and the large training sample required by the deep network model. The adaptive threshold of reconstruction error is used as the evaluation index of the fault state to reduce the influence of environmental factors. Experimental results show that the proposed method can detect faults effectively.
Application of Gel Method Ba2TiSi2O8 Ferroelectric Thin Film in Contemporary Handicraft Three-Dimensional Fiber Art Works
Authors: Li Zhe
Published: September 2022

The concept of “fiber art” not only expresses a kind of art but also reflects the course of this art—the evolution from a material to an art. It also reflects the characteristics of this art form—art produced by materials. This article aims to explore the application analysis of the gel method Ba2TiSi2O8 ferroelectric thin film in contemporary handicraft three-dimensional fiber art works. This article first discusses the influence of ferroelectric domains on ferroelectric thin films and concludes that domains are the basis of various physical properties and applications of ferroelectric materials. By changing the types and quantities of domains, the performance of ferroelectric materials can be controlled. Then the measurement principle of the ferromagnetic resonance line width in the ferroelectric thin film is proposed, and the Ba2TiSi2O8 ferroelectric thin film is prepared by the gel method. Then the ferromagnetism and temperature stability of the Ba2TiSi2O8 ferroelectric film are discussed, and the contemporary handicraft three-dimensional fiber art works are analyzed based on the ferroelectric film. The classical methods to detect ferromagnetic permeability tensors mainly include non-resonance method, Faraday rotation method, resonance method, resonance perturbation method, and so on. The experimental results in this paper show that the polarization strength of the flexible film at high temperature is slightly reduced. As the temperature increases, the flexible film still has a good hysteresis loop, and the saturation polarization strength does not change much. It shows that the Ba2TiSi2O8 structured flexible film has good temperature stability at about 80°C, and the contemporary handicraft three-dimensional fiber art work based on ferroelectric film not only has a good economic mechanism but also has its flexibility and beauty increased by 80%.
Application of Cement-Based Composite Nanomaterials in Prefabricated Thin-Wall Light Steel Structure Composite Wall
Authors: Chen Xiaoxu , He Huatuo , Huo Lingzhao , Chen Zhaorong
Published: September 2022

In order to solve the problem of seismic performance of prefabricated concrete shear walls connected with ultra-high performance cement-based composite (UHPC) after short lap of steel bars, the author proposes a cement-based composite nanomaterial in the prefabricated thin-walled lightweight application in steel structure composite wall. In order to explore the influence of the axial compression ratio on its seismic performance, 1 is a cast-in-place shear wall with a design axial compression ratio of 0.2, and 3 is a prefabricated shear wall with a design axial compression ratio of 0.2, 0.33, and 0.47, respectively, all the specimens were mainly damaged by shear compression. The test results show that the cracking loads of specimens PW2 and PW3 are increased by 17.04% and 38.81%, respectively, the yield load is increased by 27.74% and 50.28%, respectively, and the peak load is increased by 25.29% and 48.4%, respectively. Conclusion. With the increase of the axial compression ratio, the crack resistance and bearing capacity of the specimens are significantly improved.
Multiomics Immune-Related lncRNA Analysis of Oral Squamous Cell Carcinoma and Its Correlation with Prognosis
Authors: Liu Zhen , Liu Qian , Wang Xiaoyu , Liu Lin , Shi Lianrui , Li Hongbo
Published: September 2022

Objective. To investigate the multiomics immune-related lncRNA analysis of oral squamous cell carcinoma and its correlation with prognosis. Methods. Through the bioinformatics database, a total of 346 oral squamous cell carcinoma (OSCC) related samples were retrieved. Bioinformatics analysis screened out the difference lncRNAs in the sample tissue and normal tissue, combined with literature research to clarify the target. The biological functions of differentially expressed lncRNAs were predicted. The differential expression network of differentially expressed lncRNAs and mRNAs was established. The correlation analysis software was used to analyze the correlation between oral squamous cell carcinoma multiomics immune-related lncRNA and prognosis. Results. 3054 lncRNAs in OSCC tissues are highly correlated with immune genes. 76 immune-related lncRNAs were different in tumor and adjacent tissues. Cancer Hallmark, Phenotype, and Subcellular Location analysis were completed. The results showed that lncRNAs can participate in tumor cell invasion, metastasis, proliferation, and apoptosis. Select the 15 most important lncRNAs above, draw Kaplan-Meier curve to complete the survival curve analysis, and complete the analysis and arrangement of the relevant data. LINC00460, CASC9, and HCG22 were screened for subsequent analysis. Complete the GO and KEGG enrichment analysis. LINC00460, CASC9, and macrophages M0 are positively correlated; CASC9 is negatively correlated with macrophages M1; LINC00460 is positively correlated with macrophages M1; HCG22 is associated with mast cells resting positive correlation; LINC00460 was negatively correlated with mast cell resting. CASC9 and HCG22 were significantly correlated with the age and stage of OSCC patients; 2 key lncRNA and 79 miRNAs were extracted from the database, to complete 86 pairs of interactions; the target mRNAs were predicted based on the above miRNAs. A total of 631 pairs of interactions were predicted (including 21 miRNAs and 562 mRNAs), and the regulatory mechanism of key gene ceRNA network was constructed. Conclusion. The differential expression of multiple lncRNAs and mRNAs was screened, and the downregulated lncRNAs were more than the upregulated lncRNAs. The lncRNA LINC00460, CASC9, and HCG22 had a strong correlation with prognosis.
Deep Learning for Decision Element Extraction in Fact Description of Legal Documents
Authors: Li Xia
Published: September 2022

In order to improve the work efficiency of judicial personnel and solve the problem of waste of judicial resources, this topic proposes a method of decision element extraction in the fact description of legal documents based on in-depth learning. Firstly, this paper briefly introduces the basic theory of deep learning, text mining technology, a neural network, and other theories and technologies, then expounds the decision element extraction model in the fact description of legal documents based on deep learning, such as the HMM model, the CRF model, and the Bert model, and finally expounds the establishment and implementation method of the decision element extraction model in the fact description of legal documents, so as to provide a guarantee for the work quality and efficiency of judicial personnel. The samples are according to the sample label frequency to obtain more balanced data, and we manually label keywords to obtain feature vectors to assist the model in improving the prediction results, but it also increases the statistical quantity mode of label co-occurrence. Although all modes can be included by using a larger matrix, the amount of calculation increases significantly. Therefore, the follow-up work mainly studies the important co-occurrence features that can be used and then adopts better dimensionality reduction methods to improve the final prediction results.
Prediction Method of Electromagnetic Wave Propagation on High Sea State Based on P-M Wave Spectrum
Authors: Li Lihua , Xiu Menglei , Feng Shimin
Published: September 2022

In order to realize the near sea surface communication under high sea states, a link-peak diffraction model is proposed. A P-M sea wave model is established based on the bilinear superposition method. The simple single-peak diffraction model is modified and the theoretical calculation is carried out. The steps to correct the simple single-edge peak diffraction model are multi-edge diffraction model, multi-circular peak diffraction model, and link-peak diffraction model. Simulation experiments are carried out on the applicable frequencies of the link-peak diffraction model, and the attenuation of electromagnetic waves at the round peak diffraction is calculated. The link-peak diffraction model not only simplifies the calculation process in the applicable frequency but also shows good agreement with the results of the multi-peak diffraction model, which provides a theoretical basis for the calculation of electromagnetic wave propagation attenuation in high sea states.
LINC01094/SPI1/CCL7 Axis Promotes Macrophage Accumulation in Lung Adenocarcinoma and Tumor Cell Dissemination
Authors: Wu Zhuo , Bai Xue , Lu Zhengbo , Liu Shijun , Jiang Hongfang
Published: September 2022

Objective. Infiltration of tumor-associated macrophages is closely linked to the malignant development of human cancers. This research studies the function of C-C motif chemokine ligand 7 (CCL7) in the macrophage accumulation in lung adenocarcinoma (LUAD) and the underpinning mechanism. Methods. The expression profile of CCL7 in LUAD and its correlations with patient’s prognosis and macrophage infiltration were predicted via bioinformatics systems. Artificial up- or downregulation of CCL7 was induced in LUAD cells to explore its function in the mobility, EMT of cancer cells, and migration of M2 macrophages. Cancer cells were implanted in NOD/SCID mice to induce xenograft tumors. The CCL7-related transcription factors or factors were predicted by bioinformatic tools, and the molecular interactions were confirmed by immunoprecipitation or luciferase assays. Results. CCL7 was highly expressed in LUAD and linked to increased TAM infiltration. Knockdown of CCL7 suppressed the chemotaxis and M2 skewing of macrophages, and it blocked the EMT and mobility of LUAD cells. CCL7 downregulation also suppressed macrophage infiltration in xenograft tumors in mice. Spi-1 proto-oncogene (SPI1) was confirmed as an upstream factor activating CCL7 transcription, and LINC01094 was found to bind to SPI1 to promote its nuclear translocation. Upregulation of SPI1 restored the chemotactic migration and M2 polarization of macrophages in LUAD cells. Conclusion. This paper reveals that LINC01094 binds to SPI1 to promote its nuclear translocation, which further activates CCL7 transcription by binding to its promoter, leading to M2 macrophage accumulation and dissemination of tumor cells.