bluuebunny/crossref_metadata_2025 huggingface dataset:
The Reliability of a New Device for Measuring the Maximum Bite Force
Authors: Patil Santosh R. , Maragathavalli G. , Ramesh D. N. S. V. , Naidu Giridhar S. , Alam Mohammad Khursheed , AlZoubi Ibrahim A.
Published: January 2022

Objective. To test the inter‐ and intraexaminer reliability of a recently developed instrument for measuring the maximum bite force (MBF). Material and Methods. Sixty patients who were clinically confirmed as having Oral Submucous Fibrosis (OSMF) and 60 healthy controls were included in this study. For each subject, age, gender, weight, height, and body mass index (BMI) were recorded. The maximum bite force was recorded in alternate order with a bite force sensor (D1) and an occlusal force meter (D2). Bite force was measured in the first molar region. Pearson’s correlation coefficient and kappa statistic were applied to assess the reliability between D1 and D2 in the assessment of maximum bite force. The independent t‐test was performed to find the statistical significance between the two study groups. The paired t‐test was applied to find out the difference between the right and left disease in groups of two devices separately. The one‐way analysis of covariance (ANOVA) was performed to find the significant difference between grades of OSMF. Results. The results of the kappa values were 0.8531 ± 0.0724 and 0.7336 ± 0.0737 for interdevice reliability in OSMF patients in right and left sides. Similar findings were obtained in right and left sides of healthy individuals (0.7549 ± 0.0816 and 0.9440 ± 0.0806) and in the total sample (0.8132 ± 0.0544 and 0.8303 ± 0.0538). Pearson’s correlation coefficient between two devices revealed a high and significant positive correlation between D1 and D2 separately and in the whole sample. Conclusion. The observations of the present study suggest that the bite force sensor can be used as a reliable device for measuring bite force.
Application of Deep Neural Network Algorithm in the Analysis of Legal Precedent Citation Basis
Authors: Xie Yao
Published: January 2022

In order to improve the retrieval efficiency of civil litigation cases, the research introduces the fuzzy neural network algorithm and constructs a targeted retrieval algorithm system. In the simulation verification, it is found that, in the artificial subjective evaluation results of the expert group, the comprehensive score of reference cases given by the retrieval scheme exceeds the level of reference cases in the cases promoted and studied by the Supreme Court. The use of this scheme can effectively save the preparation time of prelitigation documents and help to improve the fairness and justice of the court trial process. It is proved that the retrieval scheme has certain popularization value.
No Difference between Spinal Anesthesia with Hyperbaric Ropivacaine and Intravenous Dexmedetomidine Sedation with and without Intrathecal Fentanyl: A Randomized Noninferiority Trial
Authors: Lee Seung Cheol , Kim Tae Hyung , Choi So Ron , Park Sang Yoong
Published: January 2022

To enhance the duration of single-shot spinal anesthesia, intrathecal fentanyl and intravenous dexmedetomidine are widely used as adjuvants to local anesthetics. This noninferiority trial evaluated whether hyperbaric ropivacaine alone can produce a noninferior duration of sensory block in comparison to hyperbaric ropivacaine with intrathecal fentanyl in patients under dexmedetomidine sedation. Methods. Fifty patients scheduled for elective lower limb surgery under spinal anesthesia were randomly assigned in a double-blind fashion to receive either hyperbaric ropivacaine 15 mg (Group R) or hyperbaric ropivacaine 15 mg with intrathecal fentanyl 20 μg (Group RF). Intravenous dexmedetomidine (1 μg/kg for 10 min, followed by 0.5 μg/kg/h) was administered in both groups. The primary outcome of this study was the time to two-dermatomal regression of sensory block. The noninferiority margin for the mean difference was −10 min. Characteristics of the block, intraoperative and postoperative side effects, postoperative pain score, and analgesic consumption were assessed as secondary outcomes. Results. There was no difference in the two-dermatomal regressions of sensory block between the two groups (Group R 70.4 ± 10.2 min, Group RF 71.2 ± 12.4 min,

p

 = 0.804) with a mean difference of 0.8 min (−7.2 to 5.6, 95% confidence interval). Thus, the noninferiority of hyperbaric ropivacaine alone was established. There were no significant differences in the secondary outcomes between the two groups. Conclusions. Under intravenous dexmedetomidine sedation, the duration of spinal anesthesia with hyperbaric ropivacaine alone was noninferior to that of hyperbaric ropivacaine with intrathecal fentanyl. This suggests that addition of intrathecal fentanyl to hyperbaric ropivacaine may not be necessary in patients receiving intravenous dexmedetomidine.
Predicting RNA 5‐Methylcytosine Sites by Using Essential Sequence Features and Distributions
Authors: Chen Lei , Li ZhanDong , Zhang ShiQi , Zhang Yu-Hang , Huang Tao , Cai Yu-Dong
Published: January 2022

Methylation is one of the most common and considerable modifications in biological systems mediated by multiple enzymes. Recent studies have shown that methylation has been widely identified in different RNA molecules. RNA methylation modifications have various kinds, such as 5‐methylcytosine (m5C). However, for individual methylation sites, their functions still remain to be elucidated. Testing of all methylation sites relies heavily on high‐throughput sequencing technology, which is expensive and labor consuming. Thus, computational prediction approaches could serve as a substitute. In this study, multiple machine learning models were used to predict possible RNA m5C sites on the basis of mRNA sequences in human and mouse. Each site was represented by several features derived from k‐mers of an RNA subsequence containing such site as center. The powerful max‐relevance and min‐redundancy (mRMR) feature selection method was employed to analyse these features. The outcome feature list was fed into incremental feature selection method, incorporating four classification algorithms, to build efficient models. Furthermore, the sites related to features used in the models were also investigated.
Process Plant Upgradation Using Reliability, Availability, and Maintainability (RAM) Criteria
Authors: Bai Dongqiao , Yang Qi , Zhang Jian , Li Shouzhi
Published: January 2022

The objective of this study is to propose a solution for process plant upgradation becoming extinct due to obsoleteness of spares. The study will help in reliability, availability, and maintainability (RAM) based upgradation of control system of process plants in developing countries. Available options for plant upgradation are compact control, modular, and semiautomatic. RAM based upgradation provides solution which is high in reliability and availability (usually all parts are replaced with upgraded and compatible technology) and is easy to maintain throughout the service life of process plant. Case study for stacker and reclaimer of cement plant upgradation is considered to both implement and evaluate the idea. Upgradation methodology is finalized by expert’s feedback regarding selection of hardware with respect to availability, market survey to validate the opinion, and economical availability viability of selected hardware. Pre- and postupgradation scenarios are analyzed to validate the implementation of study and conclude the expected outcomes. The process plant upgradation yielded a cost-effective solution to the problem with automation increasing by 17%, plant maintainability increasing by 80%, and downtime of plant decreasing by 17%. Among all available options, modular design Op1 is considered the best choice that can satisfy RAM criteria.
Schwann Cells Accelerate Osteogenesis via the Mif/CD74/FOXO1 Signaling Pathway In Vitro
Authors: Li Jun-Qin , Jiang Hui-Jie , Su Xiu-Yun , Feng Li , Zhan Na-Zhi , Li Shan-Shan , Chen Zi-Jie , Chang Bo-Han , Cheng Peng-Zhen , Yang Liu , Pei Guo-Xian
Published: January 2022

Schwann cells have been found to promote osteogenesis by an unclear molecular mechanism. To better understand how Schwann cells accelerate osteogenesis, RNA-Seq and LC-MS/MS were utilized to explore the transcriptomic and metabolic response of MC3T3-E1 to Schwann cells. Osteogenic differentiation was determined by ALP staining. Lentiviruses were constructed to alter the expression of Mif (macrophage migration inhibitory factor) in Schwann cells. Western blot (WB) analysis was employed to detect the protein expression. The results of this study show that Mif is essential for Schwann cells to promote osteogenesis, and its downstream CD74/FOXO1 is also involved in the promotion of Schwann cells on osteogenesis. Further, Schwann cells regulate amino acid metabolism and lipid metabolism in preosteoblasts. These findings unveil the mechanism for Schwann cells to promote osteogenesis where Mif is a key factor.
Survey on Reverse-Engineering Tools for Android Mobile Devices
Authors: Albakri Ashwag , Fatima Huda , Mohammed Maram , Ahmed Aisha , Ali Aisha , Ali Asala , Elzein Nahla Mohammed
Published: January 2022

With the presence of the Internet and the frequent use of mobile devices to send several transactions that involve personal and sensitive information, it becomes of great importance to consider the security aspects of mobile devices. And with the increasing use of mobile applications that are utilized for several purposes such as healthcare or banking, those applications have become an easy and attractive target for attackers who want to get access to mobile devices and obtain users’ sensitive information. Developing a secure application is very important; otherwise, attackers can easily exploit vulnerabilities in mobile applications which lead to serious security issues such as information leakage or injecting applications with malicious programs to access user data. In this paper, we survey the literature on application security on mobile devices, specifically mobile devices running on the Android platform, and exhibit security threats in the Android system. In addition, we study many reverse-engineering tools that are utilized to exploit vulnerabilities in applications. We demonstrate several reverse-engineering tools in terms of methodology, security holes that can be exploited, and how to use these tools to help in developing more secure applications.
Crosslinking-Induced Corneal Endothelium Dysfunction and Its Protection by Topical Ripasudil Treatment
Authors: Wang Xuemei , Zhong Yanlin , Liang Minghui , Lin Zhirong , Wu Huping , Li Cheng
Published: January 2022

Purpose. To investigate the changes of corneal endothelium under different crosslinking conditions and the protective effect of ripasudil. Methods. Corneal crosslinking groups were infiltrated with riboflavin and subsequently irradiated with 0.54 J/cm2 or 1.08 J/cm2 UVA, while noncrosslinking groups included neither UVA nor riboflavin treatment, only 1.08 J/cm2 UVA and only riboflavin treatment. Corneal opacity, variations in corneal endothelial cells, and corneal thickness of all groups were observed by slit lamp, in vivo confocal microscopy, and optical coherence tomography. Immunofluorescence staining and scanning electron microscopy were performed to evaluate changes in the structure and function of the corneal endothelium. The mice that received a corneal crosslinking dose of 1.08 J/cm2 were instilled with ripasudil to explore its protective effect on the corneal endothelium. Results. Treatment with UVA and riboflavin caused an increase in corneal opacity and corneal thickness and decreased endothelial cell density. Furthermore, treatment with UVA and riboflavin caused endothelial cell DNA damage and destroyed the tight junction and pump function of the endothelium, while riboflavin or the same dose of UVA alone did not affect the endothelium. Ripasudil reduced DNA damage in endothelial cells, increased the density of cells, and protected the endothelium’s integrity and function. Conclusion. Riboflavin combined with UVA can damage the corneal endothelium’s normal functioning. The corneal endothelium’s wound healing is dose-dependent, and the ROCK inhibitor ripasudil maintains the endothelium’s pump and barrier functions.
Correlations between the Total Antioxidant Activity and Biochemical Parameters of Cow Milk Depending on the Number of Somatic Cells
Authors: Zaitsev Sergei Yu. , Voronina Oksana A. , Savina Anastasia A. , Ignatieva Larisa P. , Bogolyubova Nadezhda V.
Published: January 2022

The aim of the work was to study the correlations between the total amount of water-soluble antioxidants (TAWSA) and biochemical parameters (BC) of cow milk depending on the somatic cell count (SCC). The BC and TAWSA values of cow milk were measured by spectroscopic and amperometric methods, respectively. The milk samples from the black-and-white cows (Moscow region) were divided according to SCС values: (1) ≤200, (2) 200-499, (3) 500-999, and (4) ≥1000 thousand units/mL. The average TAWSA values for groups 1, 2, 3, and 4 (33, 15, 13, and 12 milk samples) were the following:

15.95
±
0.74

,

14.45
±
0.84

,

16.04
±
0.63

, and

14.58
±
1.18

. The correlations between TAWSA and BC (group 1) were the following: total fat percentage (TFP) -0.305; true protein percentage (TP1) -0.197; total nitrogen percentage (TN2) -0.210; lactose -0.156; solids-not-fat (SNF) -0.276; total dry matter (TDM) -0.399; freezing point (FP) -0.112; pH -0.114; somatic cell count (SCC) - (-0,052). The correlations between TAWSA and BC (group 2) were the following: TFP -0.332; TP1 -0.296; TN2 -0.303; lactose - (-0.308); SNF -0.159; TDM -0.391; FP -0.226; pH - (-0.211); SCC -0.193. The correlations between TAWSA and BC (group 3) were the following: TFP - (-0.352); TP1 - (-0.411); TN2 – (-0.401); lactose - (-0.166); SNF - (-0.462); TDM - (-0.504); FP - (-0.766); pH - (-0.047); SCC - (-0.698). The correlations between TAWSA and BC (group 4) were the following: TFP -0.159; TP1 -0.046; TN2 – 0.077; lactose - (-0.317); SNF - (-0.237); TDM -0.058; FP - (-0.036); pH - (-0.477); SCC - (-0.072). These data are important in assessing the physiological-biochemical status and state of the antioxidant defense system of cows’ organism.
Identification of Molecular Subtypes and Potential Small-Molecule Drugs for Esophagus Cancer Treatment Based on m6A Regulators
Authors: Li Jianjun , Zhu Hongbo , Yang Qiao , Xiao Hua , Wu Haibiao , Fang Zhe , Li Wenjun , Cai Manbo
Published: January 2022

Background. Esophagus cancer (ESCA) is the sixth most frequent cancer in males, with 5-year overall survival of 15%–25%. RNA modifications function critically in cancer progression, and m6A regulators are associated with ESCA prognosis. This study further revealed correlations between m6A and ESCA development. Methods. Univariate Cox regression analysis and consensus clustering were applied to determine molecular subtypes. Functional pathways and gene ontology terms were enriched by gene set enrichment analysis. Protein-protein interaction (PPI) analysis on differentially expressed genes (DEGs) was conducted for hub gene screening. Public drug databases were employed to study the interactions between hub genes and small molecules. Results. Three molecular subtypes related to ESCA prognosis were determined. Based on multiple analyses among molecular subtypes, 146 DEGs were screened, and a PPT network of 15 hub genes was visualized. Finally, 8 potential small-molecule drugs (BMS-754807, gefitinib, neratinib, zuclopenthixol, puromycin, sulfasalazine, and imatinib) were identified for treating ESCA. Conclusions. This study applied a new approach to analyzing the relation between m6A and ESCA prognosis, providing a reference for exploring potential targets and drugs for ESCA treatment.
Pricing Strategies of Registration System and Transaction System in Live Broadcast Platform
Authors: Zhang Rong , Xu Ying , Liu Bin
Published: January 2022

This paper investigates a supply chain consisting of the monopoly live broadcast platform, content producers, and consumers. Based on the two‐sided market theory, the platform’s pricing strategies and their analysis are considered under the registration system and the transaction system. Firstly, it shows that platform users’ scale and profit are positively correlated with the intergroup network externality from both sides and the intragroup network externality inside the consumer group and negatively correlated with the intragroup network externality inside the content producer group. Secondly, the platform profit, registration fee charged to content producers, and transaction fee charged to consumers are negatively correlated to the content production cost and positively related to consumers’ content quality sensitivity coefficient. When consumers are more sensitive to content quality, they are positively correlated to content quality. Finally, the registration fee charged by the platform to consumers is positively correlated with the content production cost, negatively correlated with the content quality level, and positively associated with the consumer content quality sensitivity coefficient.
[Retracted] Robust Two‐Stage Location Allocation for Emergency Temporary Blood Supply in Postdisaster
Authors: Luan Dongqing , Liu Along , Wang Xiaoli , Xie Yanxi , Wu Zhong
Published: January 2022

Disaster medical rescue in China mainly adopts the “on‐site rescue” model. Whether the location of emergency temporary blood supply sites is reasonable or not directly affects the rescue efficiency. The paper studies the robust location‐allocation for emergency temporary blood supply after disaster. First, the factors of several candidate sites were quantified by the entropy‐based TOPSIS method, and 12 candidate blood supply sites with higher priority were selected according to the evaluation indicators. At the same time, the uncertainty of blood demand at each disaster site increased the difficulty of decision‐making, and then, a robust location model (MIRP) was constructed with minimum cost with time window constraints. It is also constrained by the uncertain demand for blood in three scenarios. Second, the survival probability function was introduced, and the time window limit was given at the minimum cost to maximize the survival probability of the suffered people. Finally, the numerical example experiments demonstrate that the increase in demand uncertainty and survival probability cause the MIRP model to generate more costs. Compared with the three MIRP models, the MIRP‐ellipsoid set model gained better robustness. Also, given the necessary restrictions on the time window, the cost can be reduced by about 13% with the highest survival probability. Decision‐makers can select different combinations of uncertainty levels and demand disturbance ratios and necessary time constraints to obtain the optimal location‐allocation solution according to risk preference and actual conditions.
A Simplified Method for Predicting Tunneling-Induced Ground Movement considering Nonuniform Deformation Boundary
Authors: Zhang Xuepeng , Jiang Yujing , Cai Yue , Li Xin , Golsanami Naser , Wang Xiao , Hao Jian , Li Ningbo , Wu Fabo , Wang Xiaohan
Published: January 2022

Stochastic medium (SM) theory is a practical method in ground settlement prediction, while its nonintegrable double integral form makes the solution process complicated. A simplified analytical solution based on the SM theory is developed to predict the ground movement in tunneling excavation. With the simplified solution, the ground movement for single tunnel and twin tunnels could be predicted based on the gap parameter G and influence angle β. A feasible approach is developed to estimate these two parameters using the maximum ground settlement Smax and tunnel design parameters, including tunnel depth H and diameter R. The proposed approach can be used to predict the ground movement curve for both circular and noncircular cross section tunnels. To validate its accuracy, the results predicted by the simplified procedure are compared with those obtained by the SM theory and measured in situ. The comparisons show that the current results agree well with those obtained by the SM theory and measured in situ. The comparison of five tunnels in literature illustrates that the simplified method can provide a more reasonable prediction for the ground movement induced by tunneling.
Dynamic Optimization of Bus Line Schedule in Commuter Corridor Based on Bus IC Card Data
Authors: Li Zhihong , Xu Han , Qiu Shiyao , Liu Jun , Yang Kairan , Wu Jiahao
Published: January 2022

The aim of this study was to explore the bus operating state of the city bus passenger corridor, taking the minimum bus operating cost and passenger travel cost as the objective function, taking passenger flow demand and operating income as the constraint, and considering the average speed change of the bus line in the bus corridor at different times. This paper proposes a dynamic optimization model of bus route schedule based on bus Integrated Circuit Card (IC Card) data. The optimization variable is the departure frequency of the candidate lines. To solve the model, a dynamic departure interval optimization method based on improved Genetic Algorithm (GA) was designed under different decision preferences. The method includes the calibration of generalized cost functions for passengers and bus companies and grasps the characteristics of bus operating speed changes and the design of departure strategies under different decision preferences. The validity and applicability of the proposed method are verified by a numerical example. We mainly carried out the following work: (1) Dynamic analysis of the time dimension of the bus departure interval takes into account the changes in passenger time characteristics during peak periods. (2) Seven schemes of weight ratio of passenger waiting time cost and bus operation cost were designed, and the departure intervals with different benefit orientations of passengers and operators were discussed, respectively, so as to select the corresponding departure schemes for decision makers under different decision preferences. The results show that (1) the total cost of the 7 different weighting schemes is lower than the actual value by 6.90% to 18.20%; (2) when decision makers need to bias the weight to the bus company, the weight ratio α : β between passengers and bus company is 0.25 : 0.75 which works best. The frequency of departures has been reduced by 6, and at the same time, the total optimized cost is reduced by 18.2%; (3) when decision makers need to bias the weight to the passengers, the weight ratio α : β between the passengers and bus company is 0.75 : 0.25 which works best. The frequency of departures has been increased by 19, and at the same time, the total optimized cost is reduced by 17.7%; and (4) when decision makers consider passengers and bus companies equally, the weight ratio α : β between passengers and bus companies is 0.5 : 0.5, the optimization cost is the closest to the actual cost, the optimization cost is reduced by 6.9%, and the frequency of departures has been increased by 5. The results show that the model in this paper provides a new idea for the information mining of bus routes in the research based on the bus IC Card data and provides an effective tool for the management of different operation decision preferences.
Attenuation Effect of Salvianolic Acid B on Testicular Ischemia-Reperfusion Injury in Rats
Authors: Wei Si-Ming , Huang Yu-Min
Published: January 2022

During testicular ischemia-reperfusion, overproduction of reactive oxygen species is associated with testicular injury. We injected hydrogen peroxide (a representative of reactive oxygen species) into normal testis via the testicular artery. The experiment demonstrates that reactive oxygen species can cause spermatogenic injury. Salvianolic acid B, the most abundant bioactive component in Salvia miltiorrhiza Bunge, has been reported to possess a potent antioxidant activity. This study was conducted to evaluate the effect of salvianolic acid B on testicular ischemia-reperfusion injury in a rat testicular torsion-detorsion model. Rats were randomly separated into three groups, including 20 rats in each group: control group with sham operation, testicular ischemia-reperfusion group, and testicular ischemia-reperfusion + salvianolic acid B-treated group. In the testicular ischemia-reperfusion group, left testicular torsion of 720° for 2 hours was induced, and then testicular detorsion was carried out. Rats in the salvianolic acid B-treated group additionally had salvianolic acid B administered intravenously at detorsion. At 4 hours after detorsion, testes of 10 rats from each group were collected to analyze the protein expression of xanthine oxidase which catalyzes generation of reactive oxygen species and malondialdehyde concentration (an indirect indicator of reactive oxygen species). At 3 months after detorsion, testes of the remaining 10 rats from each group were collected to analyze spermatogenesis. Compared with the control group, xanthine oxidase protein expression and malondialdehyde concentration in ipsilateral testes of testicular ischemia-reperfusion group increased significantly, while spermatogenesis decreased significantly. In the salvianolic acid B-treated group, xanthine oxidase protein expression and malondialdehyde concentration in ipsilateral testes decreased significantly, while spermatogenesis increased significantly, compared with the testicular ischemia-reperfusion group. These results suggest that salvianolic acid B can attenuate testicular torsion/detorsion-induced ischemia/reperfusion injury by downregulating the xanthine oxidase protein expression to inhibit reactive oxygen species formation.
Fluorescein Leakage and Optical Coherence Tomography Angiography Features of Microaneurysms in Diabetic Retinopathy
Authors: Chen Ruoyu , Liang Anyi , Yao Jie , Wang Zicheng , Chen Yesheng , Zhuang Xuenan , Zeng Yunkao , Zhang Liang , Cao Dan
Published: January 2022

Background and Objective. To correlate optical coherence tomography angiography (OCTA) characteristics of diabetic microaneurysms (MAs) with leakage status on fluorescein angiography (FA). Patients and Methods. 167 MAs from 39 diabetic eyes were analyzed using OCTA and FA simultaneously. The characteristics of MAs on OCTA en face, OCT en face, and OCT B-scan with flow overlay were evaluated and correlated with fluorescein leakage status. Results. Thirty-six, fifty-two, and seventy-nine MAs showed no, mild, and severe leakage on FA, respectively. Most MAs (61.7%) were centered in the inner nuclear layer. Cystoid spaces were observed adjacent to 60 (35.9%) MAs. MAs with severe leakage had a statistically higher flow proportion compared to MAs with no or mild leakage (both

P
<
0.001

). Only 112 MAs (67.1%) were visualized in the OCTA en face images, while 165 MAs (98.8%) could be visualized in the OCT en face images. The location of MAs did not associate significantly with FA leakage status. The presence of nearby cystoid spaces and higher flow proportion by OCT B-scan with flow overlay correlated significantly with FA leakage status. Conclusion. The flow proportion of MAs observed on OCT B-scans with flow overlay might be a potential biomarker to identify leaking MAs. A combination of OCT B-scan, OCT en face, and OCTA en face images increased the detection rate of diabetic MAs in a noninvasive way.
Application and Analysis of Education and Teaching Mode Based on 5G and Smart Technology
Authors: Yan Ran
Published: January 2022

The development of information technology has brought tremendous changes to our country’s education. Based on the 5G + Internet, the article proposes a brand-new intelligent education model and proposes an ST analysis method, which mainly studies the teacher and students in the classroom. Class performance, based on Yebes network, proposed a learning decision method and application. The research results of the article show the following: (1) The article compares the monthly test scores of three variables under two different teaching modes. The results show that the performance of the online teaching mode is generally better than that of the traditional teaching mode, and the performance of the experimental class has increased more, with an average growth score of 4.83, indicating that there are significant differences in students’ learning and cognitive abilities under different teaching models. (2) The article compares the students’ knowledge mastery under two different teaching modes. The results show that under the traditional teaching mode, the students’ knowledge mastery is low, and the complete mastery rate is only 15%. In the network multimedia teaching mode, the students’ knowledge mastery rate has been greatly improved, the complete mastery rate is as high as 45%, and the students’ mastery of knowledge has been extremely improved, indicating that the network multimedia teaching mode can stimulate students’ learning interest more, improve learning efficiency. (3) Studying the differences in the source of curriculum resources of three different types of teachers, and the results show that the proportion of curriculum resources downloaded through the Internet is the largest; in the investigation of the impact of multimedia teaching on the classroom, the cooperation rate of students when multimedia teaching is not used, classroom practice accuracy and classroom completion rate are low, but after using multimedia teaching, students’ cooperation rate and classroom practice accuracy rate have been greatly improved, among which the accuracy rate of the experimental class is as high as 62.4%, and the students’ thinking ability is also good. Great improvement.
Visual Dynamic Simulation Model of Unstructured Data in Social Networks
Authors: Xiang Zhang
Published: January 2022

Social networks contain a large amount of unstructured data. To ensure the stability of unstructured big data, this study proposes a method for visual dynamic simulation model of unstructured data in social networks. This study uses the Hadoop platform and data visualization technology to establish a univariate linear regression model according to the time correlation between data, estimates and approximates perceptual data, and collects unstructured data of social networks. Then, the unstructured data collected from the original social network are processed, and an adaptive threshold is designed to filter out the influence of noise. The unstructured data of social network after feature analysis are processed to extract its visual features. Finally, this study carries out the Hadoop cluster design, implements data persistence by HDFS, uses MapReduce to extract data clusters for distributed computing, builds a visual dynamic simulation model of unstructured data in social network, and realizes the display of unstructured data in social network. The experimental results show that this method has a good visualization effect on unstructured data in social networks and can effectively improve the stability and efficiency of unstructured data visualization in social networks.
Human Position Detection Based on Depth Camera Image Information in Mechanical Safety
Authors: Zhou Cheng , Ren Dacong , Zhang Xiangyan , Yu Cungui , Ju Likai
Published: January 2022

The devices used for human position detection in mechanical safety mainly include safety light curtain, safety laser scanner, safety pad, and vision system. However, these devices may be bypassed when used, and human or equipment cannot be distinguished. To solve this problem, a depth camera is proposed as a human position detection device in mechanical safety. The process of human position detection based on depth camera image information is given; it mainly includes image information acquisition, human presence detection, and distance measurement. Meanwhile, a human position detection method based on Intel RealSense depth camera and MobileNet-SSD algorithm is proposed and applied to robot safety protection. The result shows that the image information collected by the depth camera can detect the human position in real time, which can replace the existing mechanical safety human position detection device. At the same time, the depth camera can detect only human but not mobile devices and realize the separation and early warning of people and mobile devices.
Research on Spillover Effect of Urbanization on Rural Land Transfer Based on the SDM Model of Intelligent Computing
Authors: Yang Fucheng , Liu Guoyong
Published: January 2022

In order to explore the spillover effect of urbanization on rural land transfer, this paper uses the panel data of various regions and cities in Xinjiang from 2008 to 2018. Moran's I method is used to test and analyze the spatial correlation between urbanization and farmland transfer. Intelligent computing SDM is used to analyze the spillover effect of urbanization on farmland transfer. The results show that there is spatial correlation between farmland transfers in Xinjiang. There is spatial heterogeneity in the spatial agglomeration of urbanization and farmland transfer in northern and southern Xinjiang. The content of this paper can provide some reference and ideas for follow-up research.
Evaluation Index of School Sports Resources Based on Artificial Intelligence and Edge Computing
Authors: Hao Long , Zhou Li-Min
Published: January 2022

As the demand for education continues to increase, the relative lack of physical resources has become a bottleneck hindering the development of school physical education to a certain extent. This research mainly discusses the evaluation index system of school sports resources based on artificial intelligence and edge computing. Human resources, financial resources, and material resources in school sports resources are the three major resources in resource science. University sports stadium information publicity uses Internet technology to establish a sports information management platform and mobile Internet terminals to optimize university sports resources and stadium information management services. It uses artificial intelligence technology to improve venue information management. It establishes a comprehensive platform for venue management information, collects multidimensional information, provides information resources and accurate information push, and links venue information with public fitness needs. Using edge computing to realize nearby cloud processing of video data, reduce the phenomenon of black screen jams during live broadcast, improve data computing capabilities, and reduce users’ dependence on the performance of terminal devices, build a smart sports resource platform, combine artificial intelligence (AI) to create smart communities, smart venues, and realize intelligent operations such as event service operations and safety prevention and control in important event venues. During the live broadcast of the student sports league, the nearby cloud processing of video data is realized in the form of edge computing, which improves the data computing ability and reduces the performance dependence on the user terminal equipment itself. In the academic survey of college physical education teachers, undergraduates accounted for 26.99%, masters accounted for 60.3%, and doctoral degrees accounted for 12.8%. This research will help the reasonable allocation of school sports resources.
Quantification of T- and B-cell Immune Receptor Distribution Diversity Characterizes Immune Cell Infiltration and Lymphocyte Heterogeneity in Clear Cell Renal Cell Carcinoma
Authors: Ferrall-Fairbanks Meghan C. , Chakiryan Nicholas H. , Chobrutskiy Boris I. , Kim Youngchul , Teer Jamie K. , Berglund Anders , Mulé James J. , Fournier Michelle , Siegel Erin M. , Dhillon Jasreman , Falasiri Seyed Shayan A. , Arturo Juan F. , Katende Esther N. , Blanck George , Manley Brandon J. , Altrock Philipp M.
Published: January 2022

Immune-modulating systemic therapies are often used to treat advanced cancer such as metastatic clear cell renal cell carcinoma (ccRCC). Used alone, sequence-based biomarkers neither accurately capture patient dynamics nor the tumor immune microenvironment. To better understand the tumor ecology of this immune microenvironment, we quantified tumor infiltration across three distinct ccRCC patient tumor cohorts using complementarity determining region-3 (CDR3) sequence recovery counts in tumor-infiltrating lymphocytes and a generalized diversity index (GDI) for CDR3 sequence distributions. GDI can be understood as a curve over a continuum of diversity scales that allows sensitive characterization of distributions to capture sample richness, evenness, and subsampling uncertainty, along with other important metrics that characterize tumor heterogeneity. For example, richness quantified the total unique sequence count, while evenness quantified similarities across sequence frequencies. Significant differences in receptor sequence diversity across gender and race revealed that patients with larger and more clinically aggressive tumors had increased richness of recovered tumoral CDR3 sequences, specifically in those from T-cell receptor alpha and B-cell immunoglobulin lambda light chain. The GDI inflection point (IP) allowed for a novel and robust measure of distribution evenness. High IP values were associated with improved overall survival, suggesting that normal-like sequence distributions lead to better outcomes. These results propose a new quantitative tool that can be used to better characterize patient-specific differences related to immune cell infiltration, and to identify unique characteristics of tumor-infiltrating lymphocyte heterogeneity in ccRCC and other malignancies.

Significance:

Assessment of tumor-infiltrating T-cell and B-cell diversity in renal cell carcinoma advances the understanding of tumor-immune system interactions, linking tumor immune ecology with tumor burden, aggressiveness, and patient survival.

See related commentary by Krishna and Hakimi, p. 764
Novel Group C Oncolytic Adenoviruses Carrying a miRNA Inhibitor Demonstrate Enhanced Oncolytic Activity In Vitro and In Vivo
Authors: Doerner Johannes , Sallard Erwan , Zhang Wenli , Solanki Manish , Liu Jing , Ehrke-Schulz Eric , Zirngibl Hubert , Lieber André , Ehrhardt Anja
Published: January 2022

Oncolytic adenoviruses (OAd) represent an attractive treatment option for cancer. Clinical efficacy of commonly utilized human adenovirus type 5 (Ad5)-based oncolytic viruses is limited by variable expression levels of the coxsackie- and adenovirus receptor (CAR) in tumor cells and high prevalence of neutralizing antibodies against human Ad5. However, previous studies have highlighted alternative human Ad types as promising candidates for oncolytic therapy. In this study, we generated novel OAds based on Ad1, -2, -5, and -6 derived from species C Ads. These OAds contain a 24-bp deletion in the early gene E1A for tumor selective replication and express the RNAi inhibitor P19. We examined these OAds for in vitro anticancer activity on various cancer cell lines derived from lung, colon, gynecologic, bone, and pancreatic carcinoma. In most surveyed cell lines, OAds based on Ad1, -2, and -6 demonstrated higher cell lysis capability compared with Ad5, suggesting enhanced oncolytic potential. Moreover, enhanced oncolytic activity was associated with P19 expression in a cell type–dependent manner. We further explored a A549 tumor xenograft mouse model to compare the novel OAds directly with Ad5 and H101, an oncolytic adenovirus used in clinical trials. These P19-containing OAds based on Ad1, -2, and -6 showed significantly decelerated tumor progression compared with H101, indicating better antitumor potency in vivo. Our studies provide a novel path for OAd development based on alternative Ad types with improved effectiveness by RNA interference suppression.
The Effect of Combination Use of Hemodialysis and Hemoperfusion on Microinflammation in Elderly Patients with Maintenance Hemodialysis
Authors: Li Jun , Li Hui , Deng Wenjiao , Meng Lixin , Gong Wenya , Yao Huitian
Published: January 2022

Background: Patients with maintenance hemodialysis (MHD) generally have a microinflammatory state. The aim of this study was to investigate the effects of hemodialysis (HD) combined with hemoperfusion (HP) on microinflammatory state in elderly patients with MHD. Methods: One hundred and fifty elderly patients with MHD were randomly divided into the control group and the observation group. The control group received simple HD treatment, and the observation group received combined HD + HP treatment on the basis of the control group. After 6 months of continuous treatment, the patients were evaluated to compare the quality of life, inflammation, adverse reactions, and nutritional indicators in the 2 groups before and after treatment. Results: There was no significant difference in the quality of life between the 2 groups before treatment. After treatment, the scores of psychological aspects, physiological aspects, social aspects, environmental aspects, and independent ability in the observation group were higher than those in the control group, with statistical significance (p < 0.05). There was no statistical significance in the level of inflammation between 2 groups before treatment. After treatment, the levels of hs-CRP, Hcy, IL-6, and TNF-α in the observation group were significantly lower than those in the control group, with statistical significance (p < 0.05). The incidence of dry mouth, skin reaction, neuritis, and subcutaneous tissue fibrosis in the observation group was lower than that in the control group, with statistical significance (p < 0.05). There was no statistical significance in nutritional level indexes between 2 groups before treatment (p1 > 0.05). After treatment, the levels of hemoglobin, total protein, albumin, and transferrin in the observation group were significantly higher than those in the control group, with statistical significance (p < 0.05). Conclusion: The clinical effect of HD combined with HP in elderly MHD patients is significant, which can effectively reduce the incidence of adverse reactions and inflammation in the patients and improve the quality of life and nutritional indicators of the patients.
Prognostic Potential of METTL7B in Glioma
Authors: Fu Rui , Luo Xinxia , Ding Yan , Guo Shiwen
Published: January 2022

Objective: Methyltransferase-like 7B (METTL7B) is a member of methyltransferase-like family. Little is known about the exact role of METTL7B in cancer. This study aims to investigate the role of METTL7B in gliomas. Methods: The expression of METTL7B in glioma and adjacent normal tissues were examined by using TCGA, Chinese Glioma Genome Atlas (CGGA) database, and clinical tissues. Results: The results showed that METTL7B was highly expressed in glioma. Patients with high levels of METTL7B usually had poor survival in glioma, especially in low-grade glioma (LGG). Data from CGGA showed that METTL7B was an independent risk factor of glioma and can be used to evaluate the survival time of glioma patients. Hypomethylation in the METTL7B CpG islands was lower in LGG, and all the hypomethylated METTL7B islands were correlated with poor LGG survival. Furthermore, METTL7B levels were correlated with high numbers of tumor infiltrated immune cells in glioma, especially in LGG. ). Gene Set Enrichment Analysis found METTL7B was correlated with leukocyte proliferation, T-cell proliferation, peptidase activity, lymphocyte activation, etc. TCGA and CGGA database analysis showed that there were 1,546 and 1,117 genes that had a synergistic effect with METTL7B in glioma, respectively, and there were 372 genes overlapped between the 2 groups, including PD-L1. Data from clinical tissues also showed PD-L1 was highly expressed in glioma tissues and was positively correlated with METTL7B. Conclusion: Our study suggested that METTL7B was a potential prognostic biomarker for glioma and other cancers, and it may act as an oncogenic driver and may be a potential therapeutic target in human cancer, especially in LGG.
Correlates of Older Adults’ E-Health Information-Seeking Behaviors
Authors: Pourrazavi Sara , Kouzekanani Kamiar , Asghari Jafarabadi Mohammad , Bazargan-Hejazi Shahrzad , Hashemiparast Mina , Allahverdipour Hamid
Published: January 2022

Introduction: The Internet is an important source for health information and a medium for older adults’ empowerment in health decision-making and self-caring. Therefore, we aimed to identify the potential motivators and probable barriers of e-health information-seeking behaviors (e-HISB) among older Iranian adults. Methods: A cross-sectional study assessed the usefulness of self-efficacy, perceived encouragement, positive attitude toward e-HISB, perceived usefulness, challenges of being visited by physicians, and perceived barriers in predicting e-HISB in a sample of 320 older adults in Tabriz, Iran. Results: The self-efficacy for online information seeking, positive attitude toward e-HISB, and perceived usefulness increased the odds of e-HISB by 12.00%, 24.00%, and 15.00%, respectively. In addition, e-health literacy, conflicting information, distrust of online information, and web designs that were not senior-friendly were the major barriers to e-HISB. Discussion/Conclusion: The theoretical and practical implications of the motivators and barriers of e-HISB can be instrumental in designing and executing programs aimed at improving e-health literacy among older adults especially during the COVID-19 pandemic.
The Involvement of miRNAs in Pituitary Adenomas Pathogenesis and the Clinical Implications
Authors: Xu Dingkai , Wang Ling
Published: January 2022

Pituitary adenomas (PAs) account for the top three primary intracranial tumors in terms of total incidence rate. PAs can cause severe endocrine disorders and even malignant features, such as invasion, metastasis, and recurrence. Therefore, the early diagnosis and accurate prognosis would be greatly beneficial for clinical treatment of PAs. MicroRNAs (miRNAs) are small, protein-noncoding RNAs that regulate gene expression posttranscriptionally. They regulate essential physiological processes, including proliferation, growth, and apoptosis, and also they involve in the invasion and metastasis of malignant tumors. At the tissue level, differential miRNA expression in endocrine malignancies including PAs has been reported. When miRNAs have been successfully detected in various biofluids and cell-free environments, their important roles as potential screening or prognostic biomarkers have been extensively investigated. The current work reviews recent studies on the emerging roles of miRNAs in PAs and the clinical significance.