bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction Method of College Students’ Psychological Pressure Based on Deep Neural Network
Authors: Wang Bing , Liu Sitong
Published: November 2021

Aiming at the problems of low prediction accuracy and efficiency and poor prediction effect in the current psychological pressure prediction methods, a psychological pressure prediction method for college students based on deep neural network is proposed. The structure and algorithm of depth neural network and gray theory model are analyzed. Using the deep neural network, this paper establishes the sample set data of college students’ psychological pressure prediction and constructs the college students’ psychological pressure prediction model combined with the deep neural network algorithm of gray theory. The physical network information model is formed through the relationship between neurons. According to the dynamic changes of college students’ psychological pressure in each neuron of the physical network, the prediction of college students’ psychological pressure is completed. The experimental results show that the proposed method is effective in predicting college students’ psychological pressure and can effectively improve the accuracy and efficiency of college students’ psychological pressure prediction.
Optimization of Parameters Using Response Surface Methodology to Develop a Novel Kefir-Like Functional Beverage from Cheese Whey Enriched with Myrtle Juice
Authors: M’hir Sana , Mejri Asma , Atrous Hajer , Ayed Lamia
Published: November 2021

Whey, liquid wastewater from cheese production, is one of the sources of dietary protein and lactose that are still largely unused for human consumption. It is only in recent years that it has aroused the interest of industries and sought as a valuable raw material and thus represents an opportunity for the manufacture of new products. The manufacture of fermented whey drink requires the mixing of whey with fruit juice or an aromatic plant to improve its organoleptic properties and acceptability. Myrtle, an aromatic medicinal plant, known for its health benefits is not well exploited for making dairy products. This is the first report on the development of kefir-myrtle beverage. Three factors were optimized (whey permeates (%), myrtle’s juice (%), and kefir grains as inoculum (%)) using a central composite design with response surface methodology. The analyses showed that the number of lactic acid bacteria (LAB) and yeast cells varied from 5.4 to 9.2 log10 CFU/mL and from 4.3 to 6.2 log10 CFU/mL, respectively. A decrease in pH and an increase in the total polyphenol content and antioxidant activity were observed. The analysis of variance indicated the goodness of fit of the model with R2 from 0.827 to 0.966. The absolute average deviation values of each model were low and ranged from 1.61% to 4.23%. The optimized fermented kefir whey beverage accomplished an overall acceptability of 5.41 (1 to 9 preference scale) and a high number of LAB cells (8.53 log10 CFU/mL). The viability of LAB and yeast cell was maintained at 7.61 and 6.19 log10 CFU/mL, respectively, after 14 days of storage.
Construction of a Wireless Sensing Network System for Leisure Agriculture for Cloud‐Based Agricultural Internet of Things
Authors: Shen Yao
Published: November 2021

This paper provides an in‐depth study and analysis of the construction of a cloud‐based agricultural Internet of Things system for a wireless sensing network system for leisure agriculture. Using more mature agricultural sensor technology, compliant economy designed for indoor feeding and planting of distributed and integrated two sensor collection and transmission scheme, analysis of environmental factors selected high‐performance various types of sensors and regulation equipment, between nodes based on SI4432 for wireless communication, and controller nodes selected STM32 as a microprocessor, through the W5500‐based network port access module or ESP8266‐based WiFi module for broadband access. In response to the development of mobile technology and the reality of diversified types of mobile terminals, to make all kinds of terminals accessible to the leisure agriculture system, the server software adopts the SOA software architecture, which makes the system have good openness and scalability. The NoSQL database MongoDB is used for the cloud storage of massive data, and the data structure design is completed after analyzing the database requirements, including collections, documents, and fields. The autosharding technology is used to build a database sharding cluster in the cloud, which realizes the high‐speed cloud elastic storage of massive data and rewrites the database access object DAO to ensure that the WEB application is normal. Traditional leisure agriculture is mostly based on field tourism and agritourism methods, and the model is developing slowly and has increasingly failed to attract the interest of urban residents. The introduction of IoT technology in traditional leisure agriculture can increase the interest of leisure agriculture and improve the interest of urban residents in leisure agriculture.
Novel Synthetic Coumarin‐Chalcone Derivative (E)‐3‐(3‐(4‐(Dimethylamino)Phenyl)Acryloyl)‐4‐Hydroxy‐2H‐Chromen‐2‐One Activates CREB‐Mediated Neuroprotection in Aβ and Tau Cell Models of Alzheimer’s Disease
Authors: Chiu Ya-Jen , Lin Te-Hsien , Chen Chiung-Mei , Lin Chih-Hsin , Teng Yu-Shan , Lin Chung-Yin , Sun Ying-Chieh , Hsieh-Li Hsiu Mei , Su Ming-Tsan , Lee-Chen Guey-Jen , Lin Wenwei , Chang Kuo-Hsuan
Published: November 2021

Abnormal accumulations of misfolded Aβ and tau proteins are major components of the hallmark plaques and neurofibrillary tangles in the brains of Alzheimer’s disease (AD) patients. These abnormal protein deposits cause neurodegeneration through a number of proposed mechanisms, including downregulation of the cAMP‐response‐element (CRE) binding protein 1 (CREB) signaling pathway. Using CRE‐GFP reporter cells, we investigated the effects of three coumarin‐chalcone derivatives synthesized in our lab on CREB‐mediated gene expression. Aβ‐GFP‐ and ΔK280 tauRD‐DsRed‐expressing SH‐SY5Y cells were used to evaluate these agents for possible antiaggregative, antioxidative, and neuroprotective effects. Blood‐brain barrier (BBB) penetration was assessed by pharmacokinetic studies in mice. Of the three tested compounds, (E)‐3‐(3‐(4‐(dimethylamino)phenyl)acryloyl)‐4‐hydroxy‐2H‐chromen‐2‐one (LM‐021) was observed to increase CREB‐mediated gene expression through protein kinase A (PKA), Ca2+/calmodulin‐dependent protein kinase II (CaMKII), and extracellular signal‐regulated kinase (ERK) in CRE‐GFP reporter cells. LM‐021 exhibited antiaggregative, antioxidative, and neuroprotective effects mediated by the upregulation of CREB phosphorylation and its downstream brain‐derived neurotrophic factor and BCL2 apoptosis regulator genes in Aβ‐GFP‐ and ΔK280 tauRD‐DsRed‐expressing SH‐SY5Y cells. Blockage of the PKA, CaMKII, or ERK pathway counteracted the beneficial effects of LM‐021. LM‐021 also exhibited good BBB penetration ability, with brain to plasma ratio of 5.3%, in in vivo pharmacokinetic assessment. Our results indicate that LM‐021 works as a CREB enhancer to reduce Aβ and tau aggregation and provide neuroprotection. These findings suggest the therapeutic potential of LM‐021 in treating AD.
A Research on Traceability Technology of Agricultural Products Supply Chain Based on Blockchain and IPFS
Authors: Zhang Lejun , Zeng Weimin , Jin Zilong , Su Yansen , Chen Huiling
Published: November 2021

Blockchain technology, the fundamental technology of Bitcoin, is featured with high transparency, decentralization, traceability, tamperproof nature, and anonymousness. In this thesis, a case study of the traceability of agricultural products is to explain a traceability solution of agricultural products supply chain based on blockchain and IPFS. The latter one is used to store large quantities of transactions data; and the former one is used for the safety of data storage and circulation. And consumers can know the quality of agricultural products in the shortest time through the evaluation function. As shown in the experiment, the solution is more efficient and secure compared with existing supply chain traceability methods, meeting the traceability requirements of security, transparency, and reliability. Furthermore, the traceability, safety, and performance of the scheme are also analyzed here.
An Improved Camshift Tracking Algorithm Based on LiDAR Sensor
Authors: Lv Yong , Zhu Hairong
Published: November 2021

Aiming at the problems of inaccurate interaction point position, interaction point drift, and interaction feedback delay in the process of LiDAR sensor signal processing interactive system, a target tracking algorithm is proposed by combining LiDAR depth image information with color images. The algorithm first fuses the gesture detection results of the LiDAR and the visual image and uses the color information fusion algorithm of the Camshift algorithm to realize the tracking of the moving target. The experimental results show that the multi‐information fusion tracking algorithm based on this paper has achieved higher recognition rate and better stability and robustness than the traditional fusion tracking algorithm.
Diagnostic Value of Serum Markers Combined with TVCDS in Ovarian Cancer Patients Treated with Bushen Yiqi Quyu Prescription
Authors: Qin Wei , Jiang Fengmin , Zhang Tao
Published: November 2021

Background. To compare the diagnostic value of serum markers human epididymal protein 4 (HE4) and cyclooxygenase-1 (COX-1) combined with transvaginal color Doppler sonography (TVCDS) in ovarian cancer (OC) treated with Bushen Yiqi Quyu prescription. Methods. A total of 232 OC patients treated at the hospital from January 2018 to October 2020 were randomly divided into an observation group (n = 116) and control group (n = 116). The control group was treated with essential Western medication, and the observation group was treated with essential Western medication and Bushen Yiqi Quyu prescription. The clinical efficacy of the two groups was compared. The levels of HE4 and COX-1 were compared between the two groups before and after treatment. The ultrasonic features of TVCDS were compared between the two groups before and after treatment. The ROC curve was drawn to compare the sensitivity, specificity, and accuracy of single and combined detection of HE4, COX-1, and TVCDS in the observation group. Results. The total effective rate of the observation group was significantly higher than that of the control group. After treatment, HE4 and COX-1 levels in both groups were considerably lower than those before treatment, and in the observation group, they decreased significantly than in the control group. HE4 and COX-1 were positively correlated with the clinical stage of OC. The higher the clinical stage, the higher the levels of HE4 and COX-1. After treatment, there was no significant difference in tumor location and the boundary between the two groups. There were statistically significant differences in tumor echo, nature, morphology, calcification, internal blood flow, and lymph node metastasis, and the difference in the observation group was more evident than in control group. The sensitivity, specificity, accuracy, positive detection rate, and negative detection rate of combined detection were higher than those of single detection. Conclusions. Bushen Yiqi Quyu prescription has certain curative effects in the treatment of OC patients, which can significantly reduce the level of tumor markers and improve the symptoms of OC patients. The combined detection of HE4, COX-1, and TVCDS has high sensitivity, specificity, and accuracy, which can effectively detect OC and reduce missed diagnosis and misdiagnosis.
Continuous‐Time Insider Trading with Risk‐Neutral Insider under Imperfect Observation
Authors: Zhou Yonghui , Zhuang Guanglong , Xiao Kai
Published: November 2021

A model of insider trading in continuous time in which a risk‐neutral insider possesses long‐lived imperfect information on a risk asset is studied. By conditional expectation theory and filtering theory, we turn it into a model with insider knowing complete information about the asset with a revised risky value and deduce its linear Bayesian equilibrium consisting of optimal insider trading strategy and semistrong pricing rule. It shows that, in the equilibrium, as the degree of insider observing the signal of the risky asset value is more and more accurate, market depth, trading intensity, and residual information are all decreasing and the total expectation profit of the insider is increasing and that the information about the asset value incorporated into the equilibrium price, which has nothing to do with the volatility of noise trades, is increasing as time goes by, but not all information of asset value is incorporated into the price in the final disclosed time due to the incompleteness of insider’s observation, though the market depth is still a time‐independent constant. Some simulations are illustrated to show these features. However, it is an open question of how to make maximal profit if the insider is risk‐averse.
Questionnaire Survey-Based Quantitative Assessment of the Impact of Transitional Care on Self-Management of Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease
Authors: Xu Wenjie , Hu Hui , Mao Yanjun
Published: November 2021

Background and Objective. Chronic obstructive pulmonary disease (COPD) features high morbidity. Different nursing interventions can relieve patient’s burden. This investigation quantitatively assessed the impact of transitional care (TC) on self-management of patients with acute exacerbation of COPD based on a questionnaire survey. Methods. Clinical information of 78 COPD patients treated with TC (intervention group) or routine care (control group) in Shanghai Pulmonary Hospital during March 2019 and August 2020 was gathered. Patients were followed up for 3 months after discharge. The intervention group (

n
=
39

) was subjected to a TC plan for 3 months to help patients and their family caregivers for self-management of COPD. TC was provided by specially trained nurses, and patients were supported by standardized tools. Nursing measures in the control group (

n
=
79

) included transitional support for 30 d after hospital discharge. In this way, patients were guaranteed to follow discharge plans and transit to outpatient nursing. Patient’s anxiety and depression symptoms, sleep quality, survival quality, mobility, and life quality at admission and after 3 months of discharge were assessed by Hospital Anxiety and Depression Scale, Pittsburgh Sleep Quality Index, Quality of Life Scale Abbreviated Version, Activity of Daily Life Scale, St. George’s Respiratory Questionnaire, and COPD Assessment Test. Results. Except for anxiety and depression, patient’s sleep quality, survival quality, mobility, and life quality in two groups were significantly improved. Moreover, average change of total CAT score during 3 months of intervention was -5.44, while that in the control group was -1.74 (

p
=
0.011

). Improvement of survival quality of patients in the intervention group (

p
=
0.001

) was markedly greater than that in the control group (

p
=
0.016

). Conclusion. Altogether, TC based on quantification by questionnaire survey is beneficial to COPD patient’s life quality and self-management.
Experimental and Numerical Analysis of Soil Cracking Characteristics under Evaporation
Authors: Feng Di , Gong Jiakun , Ni Xiaodong , Ren Jie
Published: November 2021

There are numerous cracks on soil surface in nature. These cracks are mainly formed by the continuous water loss and shrinkage of soil under evaporation. Cracks have an important effect on the properties of soil. The analysis of soil moisture movement and cracking characteristics under evaporation is of great significance to the engineering construction in the cracked soil area. In this work, an experimental study was conducted to investigate the development of soil cracks. Crack geometrical parameters were acquired at various developmental stages. According to this, the crack evolution characteristic was described qualitatively. The law of soil water movement was analyzed through the numerical simulation of evaporation effect on cracked soil. The relationship between soil moisture content and crack width was revealed, and the dynamic prediction of crack development under evaporation was realized. The results show that the development and evaporation process of soil cracks can be divided into three distinct stages, and the longer the stable evaporation time, the greater the development of cracks.
Research on a New Process of Agile Turn with Engine Reignition Based on Optimal Control
Authors: Niu Kang , Yu Jianqiao , Chen Xi , Yang Di , Li Ziyuan
Published: November 2021

A new process of agile turn with engine reignition is proposed in this paper. Compared with the traditional process, this process includes deceleration phase, larger angle manoeuvre phase, and engine reignition phase. Firstly, the paper describes the new process of agile turn. Then, several constraints in this process are described. Considering all these constraints and assumptions, a new dynamic model including two‐stage engine and deceleration parachute is established. Then, the optimal control laws are designed and the timing point determination of the secondary engine ignition is discussed. By using Pontryagin principle, the optimal control laws for each actuator are derived. In terms of determining the optimal timing point of the secondary engine ignition, the paper gives the process of proof. Finally, several numerical simulations are given to demonstrate the effectiveness of the method proposed in this paper. According to all these numerical simulations, it is obvious that the new process of agile turn proposed in this paper is better than traditional process especially in having a smaller turning radius, a shorter turning time, and a high terminal velocity.
Safety and Effectiveness of Coronary Angiography or Intervention through the Distal Radial Access: A Meta-Analysis
Authors: Cao Jun , Cai Huaxiu , Liu Weibin , Zhu Hengqing , Cao Gang
Published: November 2021

Objectives. Searching the literature for coronary angiography (CAG) or intervention through distal radial access (DRA) and performing a meta-analysis. Background. Coronary angiography (CAG) or intervention through distal radial access (DRA) may have a similar success rate, low radial artery occlusion rate, low radial artery spasm rate, and low rate of puncture site hematoma for patients with coronary heart disease. Therefore, the randomized controlled trials (RCTs) were searched, and the data were pooled for meta-analysis to evaluate the effectiveness and safety of DRA. Methods. RCTs comparing the CAG or intervention through DRA vs. transradial access (TRA) published between January 1, 2017, and May 4, 2021, were searched in the PubMed, Embase, and Cochrane databases. The endpoints included the rate of access success and the number of radial artery occlusions, radial artery spasms, and puncture site hematomas. The data were extracted, and a random-effects model was used for analysis. Results. Among 204 studies, 6 RCTs (with 2825 participants) met the inclusion criteria. Compared to TRA, the access success rate in DRA (

p
=
0.1

) and the lower rate of puncture site hematoma were not significantly different (

p
=
0.646

), while the radial artery occlusion rate (

p
<
0.001

) and radial artery spasm rate (

p
=
0.029

) were significantly lower. Conclusion. In summary, DRA has a similar access success rate and incidence of hematoma at the puncture site, but a lower incidence of RAO and spasm compared to TRA. These findings demonstrated that DRA is a safe and effective access for CAG or intervention.
Seroprevalence and Associated Risk Factors of Infectious Bronchitis Virus in Chicken in Northwest Ethiopia
Authors: Birhan M. , Temesgen M. , Shite A. , Berhane N. , Bitew M. , Gelaye E. , Abayneh T. , Getachew B.
Published: November 2021

Avian infectious bronchitis virus is a highly contagious disease occurring in respiratory, urogenital, and reproductive tissues of chicken causing considerable losses due to death, egg drop, and reduced production. This preliminary study was conducted to investigate the prevalence of antibodies against infectious bronchitis virus (IBV) and to assess the potential risk factors in chickens of northwest Ethiopia. A cross-sectional study was conducted from November 2020 to June 2021. A total of 768 serum samples from three zones were collected. To investigate the presence of antibodies against IBV, the indirect ELISA serological test was applied. Positivity for anti-IBV antibodies was observed in 23.96% (95% CI: 20.98–27.14) of the samples. The mixed-effect logistic regression analysis of potential risk factors showed that IBV prevalence was significantly higher in young chickens than adults (

p
<
0.001

) and higher in intensive farm type than in extensive type (

p
<
0.001

). Based on the production purposes of the chickens, the odds of seropositivity for IB was significantly higher in layers than in broilers (

p
<
0.001

) and dual purposes (

p
<
0.001

). This study revealed higher seroprevalence in farms which had the “all-in-all-out” rearing method than in farms with different batches in one house with a significant difference (

p
<
0.001

), higher seroprevalence in the poor ventilated type than in good ones (

p
<
0.001

), and higher seroprevalence in the houses that did not remove used litter at all than houses of completely disposed and partially disposed litter (

p
=
0.002

). Moreover, disinfection of houses had significant effect on the occurrence of IB. Having personal protective equipment was significantly affecting the occurrence of IB, being higher in the farms that have no wearing clothes and shoe than in those having wearing clothes and shoe (

p
=
0.002

). In conclusion, the seroprevalence finding in the present study indicated that the organism is circulating among the population of chickens and high enough to cause significant economic losses Therefore, poultry houses should be cleaned, disinfected, and well ventilated and farm attendants should have separate farm shoe and clothes. Further studies on the virus isolation and molecular characterization of the target gene are needed in the study area.
OM‐MSCs Alleviate the Golgi Apparatus Stress Response following Cerebral Ischemia/Reperfusion Injury via the PEDF‐PI3K/Akt/mTOR Signaling Pathway
Authors: He Jialin , Liu Jianyang , Huang Yan , Tang Xiangqi , Xiao Han , Liu Zuo , Jiang Zheng , Zeng Liuwang , Hu Zhiping , Lu Ming
Published: November 2021

The mechanism of Golgi apparatus (GA) stress responses mediated by GOLPH3 has been widely studied in ischemic stroke, and the neuroprotection effect of olfactory mucosa mesenchymal stem cells (OM‐MSCs) against cerebral ischemia/reperfusion injury (IRI) has been preliminarily presented. However, the exact role of OM‐MSCs in the GA stress response following cerebral IRI remains to be elucidated. In the present study, we used an oxygen‐glucose deprivation/reoxygenation (OGD/R) model and reversible middle cerebral artery occlusion (MCAO) model to simulate cerebral IRI in vitro and in vivo. Our results showed that the level of GOLPH3 protein, reactive oxygen species (ROS), and Ca2+ was upregulated, SPCA1 level was downregulated, and GA fragmentation was increased in ischemic stroke models, and OM‐MSC treatment clearly ameliorated these GA stress responses in vitro and in vivo. Subsequently, the knockdown of PEDF in OM‐MSCs using PEDF‐specific siRNA further demonstrated that secretion of PEDF in OM‐MSCs protected OGD/R‐treated N2a cells and MCAO rats from GA stress response. Additionally, rescue experiment using specific pathway inhibitors suggested that OM‐MSCs could promote the phosphorylation of the PI3K/Akt/mTOR pathway, thereby mitigating OGD/R‐induced GA stress response and excessive autophagy. In conclusion, OM‐MSCs minimized the GA stress response following cerebral IRI, at least partially, through the PEDF‐PI3K/Akt/mTOR pathway.
e‐Commerce Online Intelligent Customer Service System Based on Fuzzy Control
Authors: Wei Dongmei
Published: November 2021

In order to improve the intelligence of the e‐commerce online intelligent customer service system, this paper proposes a deep rejection recognition algorithm based on the maximum interval squared hinge loss and combines the actual needs of the e‐commerce online customer service system to build an intelligent customer service system with the support of the fuzzy control system. Moreover, this article chooses to build a domain ontology library for structured storage of domain knowledge needed by customer service chatbots. In addition, this article analyzes the dialogue structure based on the speech act model and combines the semantic vector model of the question sentence on the basis of the dialogue structure to understand the question sentence, which helps to improve the accuracy of the answer feedback of the Internet shopping customer service robot. Finally, this article designs experiments to verify the performance of the online customer service system constructed in this article and analyzes the experimental results through statistical methods. The experimental results show that the online intelligent customer service system constructed in this paper has certain practical effects.
Learning Intuitive Physics and One‐Shot Imitation Using State‐Action‐Prediction Self‐Organizing Maps
Authors: Stetter Martin , Lang Elmar W.
Published: November 2021

Human learning and intelligence work differently from the supervised pattern recognition approach adopted in most deep learning architectures. Humans seem to learn rich representations by exploration and imitation, build causal models of the world, and use both to flexibly solve new tasks. We suggest a simple but effective unsupervised model which develops such characteristics. The agent learns to represent the dynamical physical properties of its environment by intrinsically motivated exploration and performs inference on this representation to reach goals. For this, a set of self‐organizing maps which represent state‐action pairs is combined with a causal model for sequence prediction. The proposed system is evaluated in the cartpole environment. After an initial phase of playful exploration, the agent can execute kinematic simulations of the environment’s future and use those for action planning. We demonstrate its performance on a set of several related, but different one‐shot imitation tasks, which the agent flexibly solves in an active inference style.
A Multifilter Location Optimization Algorithm Based on Neural Network in LOS/NLOS Mixed Environment
Authors: Bian Zhentian , Cheng Long , Wang Yan
Published: November 2021

While the modern communication system, embedded system, and sensor technology have been widely used at the moment, the wireless sensor network (WSN) composed of microdistributed sensors is favored due to its relatively excellent communication interaction, real‐time computing, and sensing capabilities. Because GPS positioning technology cannot meet the needs of indoor positioning, positioning based on WSN has become the better option for indoor localization. In the field of WSN indoor positioning, how to cope with the impact of NLOS error on positioning is still a big problem to be solved. In order to mitigate the influence of NLOS errors, a Neural Network Modified Multiple Filter Localization (NNMML) algorithm is proposed in this paper. In this algorithm, LOS and NLOS cases are distinguished firstly. Then, KF and UKF are applied in the LOS case and the NLOS case, respectively, and appropriate grouping processing is carried out for NLOS data. Finally, the positioning results after multiple filtering are corrected by neural network. The simulation results illustrate that the location accuracy of NNMML algorithm is better than that of KF, EKF, UKF, and the version without neural network correction. It also shows that NNMML is suitable for the situation with large NLOS error.
Research on Mobile English Learning System Based on iOS
Authors: Zhen Xiaofei
Published: November 2021

In order to improve the use experience of mobile learning and reduce the response delay caused by the slow positioning of system resources, research on mobile English learning systems based on iOS is proposed. Firstly, the value of realizing mobile learning is objectively analyzed, and the practical significance of the research is clarified from the perspectives of social development and learning conditions. On this basis, taking the intelligent client equipped with an iOS operating system as the hardware condition of the system, the system architecture, including data access layer, business logic layer, and presentation layer, is constructed by MVC. In the model module, it is divided into ten difficulty levels by using the frequency of vocabulary, the length of words, and the number of syllables of a single word. The learning resources of the reading class are uniformly represented by the vector space model, and the improved TF-IDF is used to calculate the weight of eigenvalues in the resources. According to the calculation results, the resources are also divided into ten difficulty levels, and the divided resources correspond to their respective databases and use regular expressions to find the learning resources that match the access request. Finally, with the support of the iOS protocol, the feedback mechanism between each module is constructed by Express.js. By analyzing the access requests sent and received by the view, the timely call to the target database resources is realized to improve the response rate of the system. The test results show that the function of the designed system can be realized stably, and the module response delay time is stable within 1s; under the ideal network environment, the buffer delay is in the range of 0.4–0.6 s, and the loading delay is no more than 1.8 s when the network speed is 3 Mpbs, which has a good user experience.
Usability in the Product Design Process Based on the Intelligent Microprocessor
Authors: Su Ke , Ma Hao
Published: November 2021

The sharing and reuse of product design experience knowledge is beneficial to shorten the product development cycle and improve product quality. The intelligent microprocessor has greatly changed the way of interaction between people and computers. This article mainly studies the usability analysis in the product design process based on the intelligent microprocessor. The experiment must first perform initial finite element calculations, and the purpose is to complete the data collection. The collection of evaluation indicators is carried out with the help of perceptual vocabulary classification, and the hierarchical inference method is used to build a tree‐like analysis chart. After the indicator collection is completed, the Likert scale method is used to screen the indicators, and the evaluators will rate the selected indicators according to their importance. The Petri net modeling method is used to model the product design process, which mainly includes task element definition, task module division, task planning, and task allocation. Finally, the usability test of the product is carried out. Experimental data shows that the probability of completing the design task within 30 days is 27.74%. The results show that the intelligent microprocessor shortens the time‐consuming process of product design and at the same time enhances product usability.
Grasp Detection under Occlusions Using SIFT Features
Authors: Ye Zhaojun , Guo Yi , Wang Chengguang , Huang Haohui , Yang Genke
Published: November 2021

Distinguishing target object under occlusions has become the forefront of research to cope with grasping study in general. In this paper, a novel framework which is able to be utilized for a parallel robotic gripper is proposed. There are two key steps for the proposed method in the process of grasping occluded object: generating template information and grasp detection using the matching algorithm. A neural network, trained by the RGB‐D data from the Cornell Grasp Dataset, predicts multiple grasp rectangles on template images. A proposed matching algorithm is utilized to eliminate the influence caused by occluded parts on scene images and generates multiple grasp rectangles for objects under occlusions using the grasp information of matched template images. In order to improve the quality of matching result, the proposed matching algorithm improves the SIFT algorithm and combines it with the improved RANSAC algorithm. In this way, this paper obtains suitable grasp rectangles on scene images and offers a new thought about grasping detection under occlusions. The validation results show the effectiveness and efficiency of this approach.
[Retracted] Aerobics Exercise Posture Tracking and Recognition System Based on Wireless Smart Sensors
Authors: Zhou Wenting
Published: November 2021

Wireless sensors are a new, high‐end, and popular exploration technology. The positioning and tracking of the human body are two important research issues in sensors. Aerobics is a widely popular sports item that is well‐loved by the general public and integrates gymnastics, dance, music, fitness, and entertainment. The application of smart sensors helps to improve the coordination and flexibility of movements. In order to deeply study whether wireless smart sensors can play a role in tracking and recognizing aerobics exercise postures, this article uses sensor design methods, motion analysis, and software and hardware equipment architecture methods to collect samples, analyze smart sensors, and streamline algorithms. And it creates a sensor model and system for posture tracking and recognition. When testing the best position for the placement of the sensor, first fix the sensor at a distance of 2.5 cm from the wrist section and at the middle of the lower arm, keep the upper arm still, and do the stretching and contraction movements of the lower arm. Repeat the exercise 5 times and measure the wrist. The movement curve of the juncture, the result shows that the measured juncture curve at a distance of 2.5 cm is basically the same as the actual winding curve, and the fixed position in the middle deviates more from the normal curve point, and its average error is within 0.9 cm, which is correct. To test the effectiveness of the algorithm again, a total of 8 volunteers’ data were collected during the experiment, and the duration was more than 25 seconds, and each normal posture tried to maintain stability and lasted for about 6 seconds. The statistical accuracy rate is 90.6%. It shows that the algorithm or the system designed in this paper has extremely high accuracy. It is basically realized that from the theory of wireless sensor network, a system model that can be used for posture tracking and recognition of aerobics is designed.
Aerobics Movement Decomposition Action Teaching System Based on Intelligent Vision Sensor
Authors: Sun Liwei
Published: November 2021

With the development of the times, teaching has not only stayed between people, but also gradually developed into the teaching interaction between man and machine. In the past, the teaching form was relatively single and old. Based on the intelligent visual sensor, this paper develops an auxiliary teaching system for the decomposition of aerobics action and reasonably uses the Internet and algorithms to catalog a series of aerobics action systems into the system. The DTW dynamic motion matching algorithm of the system will recognize human actions more accurately. The system will feed back human actions to the system in real time based on human feature recognition. Then, after comparison, the system will display the standard posture of this action and the aerobics posture in the next step. Therefore, this system develops teaching not only in class, but everywhere. The system not only improves the teaching quality of aerobics, but also strengthens the physical quality of teenagers. It has a new understanding of the standardization of aerobics teaching. After the function of the system is complete, the system will be distributed to aerobics learners. In many feedback information, the average use satisfaction has reached about 80%, which is a good performance index for the performance of the system itself.
Screening of Parkinson’s Differential MicroRNA Based on GEO Database and Its Clinical Verification
Authors: Jiang Xuping , Xiao Lili , Jiang Xumei , Li Guangsheng , Lu Zhijuan
Published: November 2021

Objective. This study is set out to explore the potential difference of miR in PD through GEO data and provide diagnostic indicators for clinical practice. Methods. In this study, differential miR was screened through the Gene Expression Omnibus (GEO) database, 68 PD patients treated in our hospital from May 2017 to March 2018 were collected as the research group (RG), and 50 normal subjects who underwent physical examination in our hospital during the same period were collected as the control group (CG). Quantitative real‐time polymerase chain reaction (qRT‐PCR) was used to detect the expression and diagnostic value of miR‐374a‐5p in serum of patients. The potential target genes of miR‐374a‐5p were predicted, and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Ontology Consortium (GO) were carried out. Results. GEO2R analysis revealed that 193 miRs are expressed differentially, of which 78 were highly expressed and 115 were poorly expressed. The miR‐374a‐5p expression in the serum of the RG was reduced markedly and had a diagnostic value. Targetscan and miRDB online websites were used to predict their target genes, with 415 common target genes. miR‐374a‐5p may participate in 27 functional pathways and 8 signal pathways. Conclusion. miR‐335‐5p has low expression in PD and is expected to be a potential diagnostic indicator.
A Layered Approach for Quality Assessment of DIBR‐Synthesized Images
Authors: Mansoor Rafia , Farid Muhammad Shahid , Khan Muhammad Hassan , Maqsood Asma
Published: November 2021

Multiview video plus depth (MVD) is a popular video format that supports three‐dimensional television (3DTV) and free viewpoint television (FTV). 3DTV and FTV provide depth sensation to the viewer by presenting two views of the same scene but with slightly different angles. In MVD, few views are captured, and each view has the color image and the corresponding depth map which is used in depth image‐based rendering (DIBR) to generate views at novel viewpoints. The DIBR can introduce various artifacts in the synthesized view resulting in poor quality. Therefore, evaluating the quality of the synthesized image is crucial to provide an appreciable quality of experience (QoE) to the viewer. In a 3D scene, objects are at a different distance from the camera, characterized by their depth. In this paper, we investigate the effect that objects at a different distance make on the overall QoE. In particular, we find that the quality of the closer objects contributes more to the overall quality as compared to the background objects. Based on this phenomenon, we propose a 3D quality assessment metric to evaluate the quality of the synthesized images. The proposed metric using the depth of the scene divides the image into different layers where each layer represents the objects at a different distance from the camera. The quality of each layer is individually computed, and their scores are pooled together to obtain a single quality score that represents the quality of the synthesized image. The performance of the proposed metric is evaluated on two benchmark DIBR image databases. The results show that the proposed metric is highly accurate and performs better than most existing 2D and 3D quality assessment algorithms.
Curcumin Protects against Renal Ischemia/Reperfusion Injury by Regulating Oxidative Stress and Inflammatory Response
Authors: Cui Xiaoying , Lin Lili , Sun Xiaoling , Wang Lin , Shen Rong
Published: November 2021

Objective. The aim of this study was to explore the pharmacological effects of curcumin on oxidative stress and inflammatory response of renal dysfunction induced by renal ischemia/reperfusion (RIRI). Methods. Fifty male SD rats (Sprague Dawley) were randomly divided into the sham group, RIRI group, and curcumin group (low, medium, and high). The RIRI model was established by clipping the left renal artery for 45 min and then reperfusion for 24 h and resection of the contralateral kidney. In the curcumin group, curcumin was intraperitoneally injected once a day for 3 consecutive days using different dosage regimens. The RIRI group was intraperitoneally administered with normal saline. Renal injury was evaluated by measuring the concentration of creatinine (Cr) and urea nitrogen (BUN) in serum. Oxidative stress was assessed by assessing the level of malondialdehyde (MDA), superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), glutathione (GSH), and iron reduction/antioxidant capacity (FRAP) in tissues. In addition, the protective effect of RIRI was investigated by measuring Paller scores, the level of serum inflammatory factors and caspase-3, and the number of apoptotic cells. Results. Ischemia/reperfusion resulted in increased levels of Cr and BUN in serum and MDA in tissues and decreased levels of SOD, CAT, GPx, GSH, and FRAP. Curcumin pretreatment strikingly increased the level of SOD, CAT, GPx, GSH, IL-10, IFN-γ, and FRAP and significantly decreased MDA, Cr, BUN, IL-8, TNF-α, IL-6, and myeloperoxidase (MPO) expressions in tissues. Conclusion. Curcumin can relieve the degree of renal injury and improve renal function in ischemia-reperfusion, which may be related to the fact that curcumin can increase SOD content in serum and reduce MDA and FRAP levels in the rat model.
A Narrative Review of Existing Options for COVID-19-Specific Treatments
Authors: Yadullahi Mir Wasey Ali , Siddiqui Abdul Hasan , Valecha Gautam , Patel Shawn , Ayub Fatima , Upadhyay Riddhi , Alhajri Sana Ahmed , Gaire Suman , Shrestha Dhan Bahadur
Published: November 2021

The new coronavirus disease 2019 (COVID-19) was declared a global pandemic in early 2020. The ongoing COVID-19 pandemic has affected morbidity and mortality tremendously. Even though multiple drugs are being used throughout the world since the advent of COVID-19, only limited treatment options are available for COVID-19. Therefore, drugs targeting various pathologic aspects of the disease are being explored. Multiple studies have been published to demonstrate their clinical efficacy until now. Based on the current evidence to date, we summarized the mechanism, roles, and side effects of all existing treatment options to target this potentially fatal virus.
Study on the Variation Rule and Characteristics of Pore Water Pressure in the Failure Process of Saturated Rock
Authors: Zhang Yuezheng
Published: November 2021

With the development of tunnels and other engineering constructions into the deep strata, rock masses are more prone to dynamic damage such as rock bursts under in situ conditions and excavation disturbances. The pore water in the rock mass will produce pressure changes during this process. According to the relationship between the change of pore water pressure and the development of rock mass damage, the variation rule and precursor characteristics of pore water pressure in the process of rock mass failure can be found. In this paper, through mechanical analysis, the evolution law of pore water pressure during the failure process of saturated rock is obtained. The study found that, in the process of rock failure, the pore water pressure presents three stages of linear growth, transition, and decrease. The rise and fall of pore water pressure are closely related to rock damage and influence each other. Through the observation of pore water pressure during coal mining, it is found that the coseismic effect of pore water pressure is significant. It is proved that there is a close correlation between the evolution of the stress field in the surrounding area of the stope and the change of pore water pressure in the surrounding area under the effect of mining disturbance. During the engineering practice, dynamic monitoring can be carried out on the change of pore water pressure inside the rock mass according to the law, and the precursor information of rock mass instability and failure can be explored.
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Authors: Shen Rong , Wang Yong
Published: November 2021

In this paper, we consider the three-dimensional Cauchy problem of the nonisentropic compressible Euler equations with relaxation. Following the method of Wu et al. (2021, Adv. Math. Phys. Art. ID 5512285, pp. 1–13), we show the existence and uniqueness of the global small

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Collaborative Evolution Mechanism of PMC Project Organizational Management System from the Perspective of Organizational Conflict
Authors: Li Hongyan , Feng Jingchun , Zhang Ke , Chen Rundong , Feng Haiyu , Wang Tengfei
Published: November 2021

Limited by traditional construction project management ideas and systems, the implementation of the PMC model in China still has serious problems such as opposition and frequent conflicts. How to reveal the causes of organizational conflicts and explore the key mechanism of the implementation of the PMC model from the system perspective are urgent problems to be solved. Based on the idea of engineering system view, this paper abstracts the PMC project participants with self-organizing characteristics of the organizational management system, in which the internal structure is closely related, and defines the connotation of synergy and synergistic evolution of the PMC project organizational management system. Using the Cucker–Smale model to describe the group movement, the hierarchical system and the acceleration efficiency function of the project legal person’s free will are constructed, and the structure, movement, and development law of the system itself are emphasized to simulate the ordered evolution trend of PMC project organizational management system and reveal the intrinsic causes of conflicts in PMC project and the key mechanisms of the PMC model application. The results show that first, the intensity of information communication between PMC subjects has a significant positive contribution to the orderliness of the organizational management system; second, too much acceleration of the project legal person’s free will causes group chaos in the system, while too little slows down the group stabilization time, which has a negative impact on cost and schedule; third, the more the organizational structure of PMC contractors tends to the whole-process integrated control, the more it can drive the group to gather in an orderly manner and form a synergistic control mode combining self-organization and other organizations; and fourth, the implementation of the PMC model should focus on eliminating the traditional institutional and conceptual barriers, forming a project management model with integrated control of the whole process of the PMC project contractor and effective macro supervision of the project legal person. The research results of this paper revealed the intrinsic causes of conflicts in PMC projects and the key mechanisms of PMC model application; it can help solve the confrontational situation of PMC project participants, promote the development of the PMC model, and give full play to the investment benefits.