bluuebunny/crossref_metadata_2025 huggingface dataset:
Autophagy Mediates MMP-2 Expression in Glaucomatous Trabecular Meshwork Cells
Authors: Xiao Yan-Ling , Wang Xiao-Rui , Ye Kejing , Chen Wan-Zhu , Zheng Bing-Ru , Huang Yi-Hong , Wu Yu-Yu
Published: September 2022

Purpose. To investigate the effect of 3-methyladenine (3-MA) and starvation on the expression of matrix metalloproteinase (MMP-2) in patients with primary open-angle glaucoma. Methods. Primary TM cells were cultured and divided into three groups. The control group was treated with a normal medium, the 3-MA group was stimulated with 3-MA, and the starvation group received nutrient depletion by replacing the normal media with Earle’s balanced salt solution. Cellular mRNA and protein were measured at different 3-MA concentrations and starvation time periods. The level of autophagy was accessed by monodansylcadaverine fluorescent staining and expression of specific autophagy-related genes, light chain 3 (LC3), and Beclin1. The effects of 3-MA and starvation on cell proliferation were determined with a 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide assay kit. The mRNA and protein expression of LC3-II, Beclin1, and MMP-2 were measured by reverse transcription-polymerase chain reaction and western blot, respectively. Results. Compared to the control group, starvation significantly upregulated LC3-II and Beclin1 in TM cells after 3 h of stimulation, which peaked at 6 h and 9 h, respectively. Increased MDC-labeled cells were also observed. Starvation downregulated the expression of MMP-2. On the contrary, 3-MA suppressed the activation of autophagy, as shown by the marked downregulation of LC3-II and Beclin1. The expressions of MMP-2 were higher in the 3-MA group compared to the control group, reaching a peak at a concentration of 5 mM. Conclusion. Autophagy may be involved in the pathogenesis of POAG via regulating the expression of MMP-2 and, subsequently, the deposition of the extracellular matrix.
An Integrated CoCoSo-CRITIC-Based Decision-Making Framework for Quality Evaluation of Innovation and Entrepreneurship Education in Vocational Colleges with Intuitionistic Fuzzy Information
Authors: Gou Chang
Published: September 2022

This paper proposes a multiattribute group decision-making (MAGDM) based on the CoCoSo method under the intuitionistic fuzzy sets (IFSs) environment for quality evaluation of innovation and entrepreneurship education (IEE) in vocational colleges. First of all, this paper extends the CoCoSo to the IFSs environment. Second, a new MAGDM model for quality evaluation of IEE in vocational colleges based on the CoCoSo algorithm is built. In this algorithm, the attribute weight is derived by subjective weight and objective weight, and the objective weights are defined by using the CRITIC method. At the end of this given study, some comparisons are given to verify the decision effectiveness of the algorithm.
Current Status of Fasciolosis of Goat in Sylhet, Bangladesh: An Integrated Morphomolecular Study
Authors: Shykat Chamali Akter , Islam Saiful , Ahmed Foyez , Islam Kazi Mehetazul , Bhuiyan Jamal Uddin , Nath Tilak Chandra
Published: September 2022

Epidemiological information and proper identification of Fasciola species present in Bangladesh are important for control. This study was aimed at determining the prevalence of liver fluke infection of goats in Sylhet, Bangladesh, and identifying those using integrated morphometric and molecular techniques. A total of 260 slaughtered goats (Capra hircus) were examined, and flukes were collected from infected liver using sterilized forceps. Fasciolosis prevalence in goats was 35.38% (92/260) across all age and sex categories. Female goats were found more infected (37.14%, 65/175) than male goats (31.76%, 27/85), while infection rate was found higher in young animals (37.91%, 69/182) compared to adults (29.48% 23/78). Infection rate was observed higher in rainy season (52.96%, 45/85), followed by winter (27.38%, 26/95) and summer (26.25%, 21/80). Collected flukes were examined by light microscopy after being stained with Semichon’s acetocarmine, and sequences of mtDNA Cox1 genes were obtained. Ten adult flukes were measured,

38.72
±
3.37

 mm in length and

11.8
±
1.9

 mm in width. Based on morphometric features especially branching of the testis and body length/body width ratios (

3.28
±
0.42

), the flukes were primarily identified as Fasciola gigantica. Amplicon sequences were compared by BLAST and the cox1 sequences showed 97.1-99.3% similarity with the reference sequences (F. gigantica and Fasciola sp.) from GenBank. In this study, we found a considerable prevalence of fascioliasis in goats, and F. gigantica was solely identified with variation. To control these parasites and prevent potential public health risks, appropriate control techniques must be developed.
XueFu ZhuYu Decoction Alleviates Cardiopulmonary Bypass-Induced NLRP3 Inflammasome-Dependent Pyroptosis by Inhibiting IkB-α/NF-κB Pathway in Acute Lung Injury Rats
Authors: Li Hui , Zhang Wenlei , Lou Qiaoqin , Chang Yuejin , Lin Zhenhao , Lou Lingli
Published: September 2022

XueFu ZhuYu Decoction (XFZYD) is an effective prescription that is widely used to improve blood circulation by removing blood stasis. This study aimed to investigate the effects and the underlying molecular mechanisms of XFZYD on lung pyroptosis in cardiopulmonary bypass- (CPB-) induced acute lung injury (ALI) rats. A rat model of ALI was induced by CPB treatment after XFZYD, Ac-YVAD-CMK, and Bay-11-7082 administration. The respiratory index (RI) and oxygenation index (OI) were determined at each time point. The levels of interleukin (IL)-1β, IL-6, IL-18, and TNF-α in serum and lung were measured by enzyme-linked immunosorbent assays (ELISA). Moreover, the protein levels, neutrophil counts, and total cell of bronchoalveolar lavage fluid (BALF) were detected. Additionally, Myeloperoxidase (MPO) expression was detected by immunohistochemical assay. Lung injury was evaluated with the wet/dry (W/D) ratio and pathologic changes, respectively. Besides, the expression of NLRP3 inflammasome and IkB-α/NF-κB pathway proteins was estimated by immunofluorescence, quantitative real-time PCR (qRT-PCR), and Western blotting assays, respectively. XFZYD pretreatment significantly ameliorated pulmonary ventilation function and reduced the CPB-induced lung histopathological injury, inflammatory cell infiltration in BALF and lung, and the apoptosis of lung cells. Interestingly, XFZYD decreased the CPB-induced NLRP3, ASC, Caspase-1 p20, Pro-GSDMD, GSDMD p30, IL-18, IL-1β p-P65, and p-IKBα mRNA or protein levels in lung tissues in ALI model rats. In summary, these findings suggest that XFZYD effectively mitigates NLRP3 inflammasome-dependent pyroptosis in CPB-induced ALI model rats, possibly by inhibiting the IkB-α/NF-κB pathway in the lung.
Research on Architecture Design of Mobile Video Surveillance System in Information Room Based on Intelligent Robot Technology
Authors: Wen Tiancheng
Published: September 2022

With the gradual development of information technology, the idea of combining mobile robot and wireless remote control technology is adopted to build a wireless network platform between a computer and robot. At present, there are conditions to realize this idea. In this idea, the wireless data transmission can be realized on the platform. Users can remotely control and access the monitoring system of the computer room and set up alarm systems and detectors, so as to monitor the working conditions of the robot at the computer terminal, truly realize the man-machine coordination, and ensure that the robot can complete the specified tasks well in various complex environments. This research first deeply analyzes the current development status and existing problems of the information room monitoring technology and then puts forward the mobile video monitoring system architecture of the information room based on the intelligent robot monitoring technology. The system architecture integrates computer technology, network technology, and control technology. With the continuous updating of technology, video surveillance has also entered the mobile era. Combined with the timely monitoring video acquisition system of mobile robots, it solves the current working environment for many industries and enterprises. Using robot chassis technology, it designs the corresponding bottom hardware control and upper equipment to achieve data acquisition with related equipment. The mobile video surveillance system solves the problems encountered by the traditional video surveillance system and can monitor video images through remote operation and centrally monitors the operation status of the equipment in the room and the environmental status of the room, which is more conducive to improving the management efficiency. It provides a new idea to ensure the safe and stable operation of various equipment and systems in various places.
The Pseudotargeted Metabolomics Study on the Toxicity of Fuzi Using Ultraperformance Liquid Chromatography Tandem Mass Spectrometry
Authors: Wu Huifei , Zhang Wenxia , Lin Hui , Ye Qiuming , Guo Jiayin , Quan Shijian
Published: September 2022

Fuzi is commonly used in traditional Chinese medicine. Clinical Fuzi poisoning cases have frequently been reported. Glycyrrhizae Radix is often used to alleviate Fuzi’s toxicity. However, the poisoning mechanism of Fuzi and the detoxication mechanism of Glycyrrhizae Radix are still not clear. We identified the chemical components of Fuzi at different decoction times (0.5, 1, 2, 4, and 6 h) using ultrahigh performance liquid chromatography quadrupole time-of-flight mass spectrometry. A total of 35 compounds were detected in the Fuzi decoction, including diester alkaloids, monoester alkaloids, amino acids, phenolic acids, organic acids, glycosides, and sugars among others. The content of diester alkaloids (i.e., subaconitine, neoaconitine, and aconitine) in the Fuzi decoction decreased after 2 h of decoction time, while the content of monoester alkaloids (i.e., benzoyl aconitine and benzoyl subaconitine) reached a peak at 2 h. A total of 32 rats were randomly divided into four groups, including 8 cases in the low-dosage Fuzi decoction group A, 8 cases in the high-dosage Fuzi decoction group B, 8 cases in the Fuzi and glycyrrhizae decoction group C, and 8 cases in the control group D. The decoction was administered orally for 7 days. Then, a serum was obtained. The metabolites’ changes were analyzed in serum metabolomics using liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Statistical analysis and pathway analysis were used to assess the effects of glycyrrhizae on the metabolic changes induced by Fuzi. The behavioral and biochemical characteristics indicated that Fuzi exhibited toxic effects on rats and their metabolic profiles changed. However, the metabolic profiles of the glycyrrhizae group became similar to those of the control group. These profiles showed that glycyrrhizae can effectively improve Fuzi poisoning rats. Our study demonstrated that the established pseudotargeted metabolomics is a powerful approach for investigating the mechanisms of herbal toxicity.
Investigating Some Diatomic Molecules Bounded by the Two-Dimensional Isotropic Oscillator plus Inverse Quadratic Potential in an External Magnetic Field
Authors: Oluwadare O. J. , Ilesanmi E. O. , Abiola T. O. , Olubosede O. , Odo E. A. , Ajibade S. O. , Oyewumi K. J.
Published: September 2022

We investigate the nonrelativistic magnetic effect on the energy spectra, expectation values of some quantum mechanical observables, and diamagnetic susceptibility for some diatomic molecules bounded by the isotropic oscillator plus inverse quadratic potential. The energy eigenvalues and normalized wave functions are obtained via the parametric Nikiforov-Uvarov method. The expectation values square of the position

r

2

, square of the momentum

p

2

, kinetic energy

T

, and potential energy

V

are obtained by applying the Hellmann-Feynman theorem, and an expression for the diamagnetic susceptibility

X

is also derived. Using the spectroscopic data, the low rotational and low vibrational energy spectra, expectation values, and diamagnetic susceptibility

X

for a set of diatomic molecules (I2, H2, CO, and HCl) for arbitrary values, Larmor frequencies are calculated. The computed energy spectra, expectation values, and diamagnetic susceptibility

X

were found to be more influenced by the external magnetic field strength and inverse quadratic potential strength

g

than the vibrational frequencies and the masses of the selected molecules.
Aviation and Airspace Management under Rough Set Theory
Authors: Zhu Yue , Kan Ho Yin
Published: September 2022

With the development of aviation industry, a series of problems have appeared in aviation and airspace, among which the most prominent problem is the congestion of aviation and airspace. Airspace congestion has become a major problem in the development of civil aviation in China. Especially in the central and eastern regions of China, airspace congestion is becoming more and more serious. To better solve the problem of airspace congestion, rough set theory and the Fuzzy C-means (FCM) model are first analyzed. By analyzing the temporal and spatial characteristics of traffic congestion in the control sector, a multisector traffic congestion identification model is established based on radar track data. Four multisector congestion characteristics including equivalent traffic volume, proximity, saturation, and traffic density are established. FCM and rough set theory are used to classify and identify sector congestion. Finally, the model based on FCM-rough set theory is compared with other methods based on the data of the regional control sector in northwest China. The experimental results show that the congestion recognition rate of the model is 92.6%, 93.5%, and 94.2%, and the congestion misjudgment rate is 1.5%, 1.2%, and 1.3%, respectively. Hence, the multisector congestion recognition model has a high recognition rate and a low misjudgment rate, and the overall discrimination result is relatively stable. By comparing the proposed method with other methods, it is concluded that the recognition accuracy of the model based on FCM theory is superior to other methods. In summary, the congestion situation of the sector is affected by a variety of macro- and micro-characteristics of the sector, and the congestion identification model is feasible and efficient. Multisector traffic congestion identification has certain application value for airspace planning, air traffic control-assisted decision making, and air traffic flow management. This work can optimize the aviation and airspace management system and provide relevant suggestions for the study of aviation and airspace congestion.
Elevated Plasma Interleukin-35 as a Prognostic Indicator in Localized Clear Cell Renal Cell Carcinoma
Authors: Zhang Jun , Xu Xiaojian , Chen Zongxin , Zhu Zhengyu , Hou Jianquan
Published: September 2022

Purpose. The aim of the study is to investigate the prognostic value of plasma interleukin-35 in the surgical treatment of patients with clear cell renal cell carcinoma (ccRCC). Material and Methods. Plasma IL-35 levels were measured in patients with ccRCC. The cut-off value of IL-35 was determined by the receiver operating characteristic (ROC) analysis and the area under the curve (AUC). The effects of the IL-35 and other clinicopathological characteristics on overall survival (OS) and progression-free survival (PFS) were evaluated using the univariate and multivariate logistic regression analysis. Result. Sixty-four ccRCC patients admitted to the urology department at the First Affiliated Hospital of Soochow University were selected, of whom 50 were diagnosed with localized ccRCC. Plasma interleukin-35 levels were significantly higher in patients with ccRCC than that in healthy controls. The cut-off value of IL-35 was 99.7 pg/mL. Multivariate analysis selected by univariate analyses demonstrated that the preoperative IL-35 was an independent prognostic factor for 5-year OS (OR: 1.02, 95% CI: 1.01 to 1.04,

p
<
0.0001

) and 5-year PFS (OR: 1.02, 95% CI: 1.00 to 1.03,

p
=
0.011

) in all patients with localized ccRCC. Conclusion. Current results indicate that preoperative IL-35 is an independent prognostic marker for OS and RFS in patients with localized ccRCC after surgery.
Psychological Counseling and Adaptive Adjustment Methods for Employment Psychological Distress Based on Intelligent Internet of Things
Authors: Kang Xiaomeng
Published: September 2022

With the rapid progress of the current era, the outside employment pressure has gradually become severe, and with more and more college students, the competition pressure is also gradually rising, which also leads to many college students in the face of psychological problems from campus to society. In this paper, based on the intelligent Internet of Things, the psychological problems that easily arise when college students are employed are explained, and from the problem, targeted employment guidance is proposed, and a comprehensive debugging method of related causes is proposed. Using the mathematical modeling method, the traditional psychological counseling and the intelligent IoT-based psychological counseling methods are compared. It was found that the counseling time was reduced by 30%, the consideration of problems was more comprehensive, the number of students’ consultation problems was increased by 32%, and the number of debugging was increased by 23.
Vibration Characteristics of Shear Thickening Fluid-Based Sandwich Structures
Authors: Wang Ping , Chen Zhiyuan , Qian Kun , Yu Kejing
Published: September 2022

The vibration attenuation mechanism of shear thickening fluid- (STF-) filled sandwich structures was investigated in this study. Structural equivalent damping, stiffness, and mass increased simultaneously with the increase in the volume fraction of shear thickening fluid. However, the damping ratio decreased and natural frequency increased with the increase in structural mass. Thus, the damping ratio was not a monotonically increasing function of the volume fraction of STF. A modified shear strain model of the damping layer was developed based on the following conditions: (1) under the condition of small strain, shear thickening fluid was regarded as linear viscoelastic material, and (2) the warpage of the sandwich beam was considered during deformation and the influence of STF on the shear strain of sandwich beam. According to the modified shear strain model of the damping layer, the shear thickening occurred at 1 Hz to 20 Hz during vibration. Therefore, the resonance point of the structure shifted to the left. The predictions were in excellent agreement with the experimental results. The results demonstrated that shear thickening fluid improved the vibration damping performance of the sandwich structure, while the thickening ability was not the higher, the better.
A Clinical Study on the Use of Yiqi Yangxue Decoction Combined with Chemotherapy to Promote Rapid Postoperative Recovery in Patients with Non-Small Cell Lung Cancer
Authors: Liang Junyan , Wang Yue , Zheng Ling , Mei Hui
Published: September 2022

Purpose. To observe the promotion effect of Yiqi Yangxue decoction combined with chemotherapy on the rapid recovery of non-small cell lung cancer (NSCLC) patients after surgery. Methods. Eighty postoperative NSCLC patients admitted to our hospital from April 2019 to September 2021 were divided into a chemotherapy group (n = 40) and a traditional Chinese medicine (TCM) group (n = 40) according to a random sampling method. Both groups were treated with surgery and postoperative routine chemotherapy. The TCM group was treated with Yiqi Yangxue decoction, one dose per day, starting from the first day of chemotherapy. Four weeks was a course of treatment, and three courses of treatment were taken continuously. The levels of serum tumour markers (carcinoembryonic antigen (CEA), cytokeratin 19 fragment (CYFRA21-1), carbohydrate antigen 125 (CA-125)), immune function indicators (CD3+, CD4+/CD8+, and NK cells), Pittsburgh Sleep Quality Index (PSQI) score, and Insomnia Severity Index (ISI) were compared between the two groups before and after treatment, and the clinical efficacy of the two groups was assessed with reference to the WHO efficacy criteria for solid tumours, and the toxic side effects of the two groups were assessed with reference to the WHO classification criteria for the toxic effects of chemotherapeutic drugs. Results. After treatment, the levels of CEA, CYFRA21-1, and CA-125 were lower than those before treatment in both groups, and they were lower in the TCM group than in the chemotherapy group (

P
<
0.05

). After treatment, the levels of CD3+, CD4+/CD8+, and NK cells in both groups were higher than before treatment, and they were higher in the TCM group than in the chemotherapy group (

P
<
0.05

). After treatment, the PSQI and ISI scores of both the groups were lower than those before treatment, and they were higher in the TCM group than in the chemotherapy group (

P
<
0.05

). After treatment, the overall tumour control rate was higher in the TCM group than in the chemotherapy group (

P
<
0.05

). During the treatment period, the TCM group showed lower levels of gastrointestinal reactions, leucopenia, anaemia, and neurotoxicity than the chemotherapy group (

P
<
0.05

). Conclusion. The combination of Yiqi Yangxue decoction combined with chemotherapy for postoperative NSCLC patients can effectively reduce serum tumour marker levels, enhance the body’s immune function and sleep quality, and the patient’s efficacy and toxicity reduction are obvious, which is conducive to the rapid recovery of many indicators after surgery.
The Value of Adenosine Deaminase 2 in the Detection of Tuberculous Pleural Effusion: A Meta-Analysis and Systematic Review
Authors: Zeng Tingting , Ling Bing , Hu Xueru , Wang Shuyan , Qiao Wenliang , Gao Lijuan , Shen Yongchun , Li Dajiang
Published: September 2022

Adenosine deaminase 2 (ADA2) is reported as a novel diagnostic biomarker for tuberculous pleural effusion (TPE) in many studies. This meta-analysis was conducted to systematically evaluate the general diagnostic performance of pleural ADA2 in TPE. After searching for relevant studies that investigated the diagnostic performance of pleural ADA2 in TPE in several databases, we assessed and selected eligible studies to calculate pooled parameters by STATA 16.0 software. A final set of thirteen studies entirely met the inclusion standards and were used to calculate pooled parameters in our meta-analysis. Among them, there were nine English studies and four Chinese studies. The pooled parameters of pleural ADA2 in diagnosing TPE were summarized as follows: sensitivity, 0.91 (95% CI: 0.86–0.95); specificity, 0.93 (95% CI: 0.92–0.95); positive likelihood ratio, 13.9 (95% CI: 10.6–18.3); negative likelihood ratio, 0.09 (95% CI:0.06–0.16); diagnostic odds ratio, 147 (95% CI: 76–284); and the area under the curve, 0.95 (95% CI: 0.93–0.97). Pleural ADA2 is a reliable indicator with excellent accuracy in TPE diagnosis. However, we need to combine pleural ADA2 with diverse examinations to diagnose TPE in clinical practice.
[Retracted] Infiltration and Significance of CD103+CD8+ T Cells in Gastrointestinal Adenocarcinoma
Authors: Cai Weisu , Wang Haitao
Published: September 2022

Immunohistochemical staining is a common technique to study tissue morphology and in situ protein expression. With the rise of immunotherapy, more and more markers in the tumor microenvironment have been discovered. In this paper, the multiplex immunofluorescence staining method was used to stain paraffin sections of 35 cases of gastric adenocarcinoma tissue and 35 cases of colorectal adenocarcinoma tissue and its adjacent tissue. The infiltration of CD8+ T cells and CD103+CD8+ T cells in the slices was detected by using the slice scanner to form the map and CaseViewer2.0 software analysis. The experimental results in this paper showed that compared with adjacent tissues, the infiltration degree of CD8+ T cells in gastric adenocarcinoma tissue was significantly lower (Z = 2.244, P = 0.025, P < 0.05), and the infiltration degree of cells was significantly lower (Z = 2.785, P = 0.005, P < 0.05). In gastric adenocarcinoma tissue, the infiltration of CD8+ T cells was correlated with the tumor diameter of gastric adenocarcinoma (P = 0.002). There was a statistically significant difference. The degree of CD103+CD8+ T cell infiltration was related to the survival of patients with gastric adenocarcinoma (P = 0.002) and the degree of tumor differentiation (P = 0.004). The infiltration of CD103+CD8+ T cells in gastric cancer tissue and colorectal cancer tissue is related to the survival of patients. CD103+CD8+ T cells are thought to play a role in the prognosis of gastric adenocarcinoma and colorectal adenocarcinoma. Experiments have shown that the more the CD103+CD8+ T cells, the better the prognosis of gastric adenocarcinoma and colorectal adenocarcinoma, so the prognosis of gastric adenocarcinoma and colorectal adenocarcinoma can be improved by increasing CD103+CD8+ T cells.
A Novel Improved Threshold Adaptive Forgetting Variable Step Size Blind Separation Model for Weak Signal Detection
Authors: Yu Tianyi , Wang Houming , Li Shunming , Lu Jiantao , Gong Siqi , Wang Yanfeng , Teng Guangrong
Published: September 2022

The online blind source separation (BSS) is seriously disturbed by strong noise when extracting weak signals and has the defects that it cannot both give consideration to convergence speed and steady-state error. In order to solve the abovementioned problems, a novel improved threshold adaptive forgetting variable step size blind separation model (ITAFBS) for weak signal detection is proposed. Firstly, an improved lifting wavelet transform (ILWT) is proposed to reduce the noise of weak signals. In ILWT, a threshold function containing an adjustment factor is proposed to reduce the constant deviation so as to ensure a high signal-to-noise ratio and low distortion after denoising. Then, the separation index (SI) is constructed according to the convergence conditions of the BSS model. An adaptive variable step size blind separation model based on the SI is studied. At the initial stage of separation, the step size is increased to obtain a fast convergence rate, and at the end of separation and the step size is shortened to obtain a small steady-state error. Finally, the forgetting factor is introduced into the model to reduce the error accumulation in the early stage of the algorithm, and the Fourier norm is introduced to improve the convergence speed and separation accuracy of the model. The simulation and experimental results show that ITAFBS has a good performance in multi-frequency weak signal detection. Compared with other methods, the ITAFBS has a faster convergence speed and minimum steady-state error.
[Retracted] The Role of Mastering Musical Instrument Playing Skills Combined with Student Behavior Data Mining and Analysis in the Digital Campus Environment to Improve Students’ Comprehensive Quality
Authors: Shi Mengyu
Published: September 2022

Music is closely related to people’s lives, and it has a certain impact on people’s lives. In school teaching activities, mastering the skills of playing musical instruments can effectively improve students’ music appreciation ability and level and enhance students’ comprehensive quality through subtle influence. Based on the analysis of students’ behavior data, this paper analyzes the role of mastering musical instrument playing skills in improving students’ comprehensive quality and puts forward research ideas and schemes. It focuses on students’ group behavior in the digital campus environment, integrates multisource data in the digital campus, quantificationally calculates students’ multidimensional behaviors, studies the behavior rules of students with different academic performance levels, and uses machine learning algorithm to build a multifeature integrated model of students’ comprehensive quality, providing personalized feedback for the improvement of students’ comprehensive quality. The results show that the effect of mastering musical instrument playing skills combined with data mining analysis of students’ behavior is generally 30% higher than that of the previous research. Compared with a single model, the fused model can fully consider each algorithm to observe data from different data spaces and structures and give full play to the advantages of different algorithms. The training of a single model will fall into the local minimum, which may lead to the relatively poor generalization performance of its model. However, the weighted fusion of multiple basic learners can effectively reduce the probability of falling into the local minimum.
Jujuboside A Exhibits an Antiepileptogenic Effect in the Rat Model via Protection against Traumatic Epilepsy-Induced Oxidative Stress and Inflammatory Responses
Authors: Lu Wei , Wu Zhangze , Zhang Chong , Gao Tingting , Ling Xiaoyang , Xu Min , Wang Wenhua , Jin Xuegang , Li Keran , Chen Long , Wang Jinjuan , Sun Zhongyang
Published: September 2022

Traumatic brain injuries (TBI) are the greatest source of death in trauma, and post-traumatic epilepsy (PTE) is one of the common complications of TBI. Oxidative stress and inflammatory responses play an important role in the process of PTE. Many studies have shown that Jujuboside A has powerful antioxidant and anti-inflammatory properties. However, it is not known whether Jujuboside A has an anti-epileptic effect. The influences of Jujuboside A in the experimental FeCl3-induced model of PTE were tested by estimating the grade of seizures and performing behavioral tests. Following that, we detected oxidative stress indicators and inflammatory factors. Additionally, western blotting was used to test the protein levels of signaling molecules in MAPK pathways. In this study, Jujuboside A was found to have improved the recognition deficiency and epilepsy syndromes in the experimental rat model. Moreover, oxidative stress and inflammatory responses induced by FeCl3 injection were relieved by Jujuboside A. In addition, Jujuboside A was found to be capable of reducing the increased expression of p-P38 and p-ERK1/2 caused by iron ions. Collectively, our results demonstrated that Jujuboside A exhibits an antiepileptogenic effect by alleviating oxidative stress and inflammatory responses via the p38 and ERK1/2 pathways.
WSN Architectures for Environmental Monitoring Applications
Authors: Adu-Manu Kofi Sarpong , Abdulai Jamal-Deen , Engmann Felicia , Akazue Moses , Appati Justice Kwame , Baiden Godwill Enchill , Sarfo-Kantanka Godwin
Published: September 2022

Wireless sensor networks (WSNs) have become ubiquitous, permeating every aspect of human life. In environmental monitoring applications (EMAs), WSNs are essential and provide a holistic view of the deployed environment. Physical sensor devices and actuators are connected across a network in environmental monitoring applications to sense vital environmental factors. EMAs bring together the intelligence and autonomy of autonomous systems to make intelligent decisions and communicate them using communication technologies. This paper discusses the various architectures developed for WSNs in environmental monitoring applications and the support for specific design goals, including machine learning in WSNs and its potential in environmental monitoring applications.
Correlation between Relative Humidity and Forest Seeds Moisture on the Incidence of Fungi
Authors: Bautista Adriana Antonio , Vázquez José Luis Arispe , Badillo Mario Ernesto Vázquez , García Armando Rodríguez , Uribe Luis Alberto Aguirre , Juárez Agustín Hernández , Ángel Epifanio Castro-Del , Hernández Juan Mayo
Published: September 2022

The objective of the research was to evaluate the effect of relative humidity (RH) and moisture content (MC) on the incidence of pathogenic fungi on the seeds of Agave lechuguilla, Lippia graveolens, and Nolina cespitifera. Seeds were stored 90 days at 60, 75, 80, and 85% RH, and results were processed with a correlation analysis in the R software using the Spearman test. Higher fungi incidence (FI) in seeds was found from 10 to 20% RH; however, correlation between RH and MC of seeds was positive with r = 0.311 and

p
=
2.2
×

10

−
16

. In general, RH is related to MC, but not to fungi incidence, which is related mainly to MC of seeds. Correlation between RH and FI for each seed species was not significant, r = 0.026, −0.040, and 0.071 and

p
=
0.687

, 0.540, and 0.272 for A. lechuguilla, N. cespitifera, and L. graveolens, respectively. There was a positive correlation between the MC of seeds with fungi incidence; a negative correlation between the RH and the FI; and a positive correlation between the RH and the MC of seeds. In this type of seeds (orthodox), the MC is probably the most important factor in determining its longevity. The seeds under study can be stored in a 60% to 75% RH. Five fungi genera were found, predominating Aspergillus with five identified species.
Wireless Communication System and Its Application in Big Data Remote Monitoring and Decision-Making
Authors: Kou Huanyu
Published: September 2022

The development of computer technology has promoted the widespread application of unmanned technology. Remote monitoring of wireless devices is an application of unmanned technology. To improve the remote monitoring of wireless devices, this study establishes a remote monitoring and decision-making framework based on wireless communication systems. With the wireless communication system, signals that characterize the operating status of devices can be obtained in real-time. Based on the collected signals, the remote monitoring system can identify the current health status of wireless devices, thereby providing auxiliary decision-making for device operation. In the case study, the main engine of an unmanned surface vehicle is used as the study object. The results show that most of the relative errors corresponding to the state identification results of the established remote monitoring framework are within 5%. Moreover, the results present that the linear correlation coefficients between the predicted and real results are greater than 0.95. Therefore, the established remote monitoring framework based on the wireless communication system has good reliability in the state identification of wireless devices.
The Aero-Engine Component-Level Modelling Research Based on NSDE Hybrid Damping Newton Method
Authors: Wang Chen , Sun Ximing , Du Xian
Published: September 2022

Advanced aero-engine component-level models are characterized by strong nonlinearity and multivariate, and traditional iterative algorithms cannot meet the requirements of convergence, real-time, and accuracy at the same time. To improve the convergence and alleviate the initial value dependence, a hybrid damped Newton algorithm based on the neighborhood based speciation differential evolution (NSDE) is proposed in this paper for solving the aero-engine component-level model. The computational efficiency and convergence of the hybrid damped Newton algorithm and NSDE hybrid damped Newton algorithm under four typical steady-state operating point conditions are analyzed, and then, the accuracy of the model is verified. It is demonstrated that the hybrid damped Newton method has the advantage of low initial value sensitivity and high computational efficiency under large deviation conditions. The hybrid damped Newton method is more efficient than the Broyden algorithm in terms of iterative efficiency, faster than the traditional N-R algorithm in terms of computation speed, and has the highest computational convergence rate under the four typical operating conditions, but it cannot eliminate the initial value dependence. The NSDE hybrid damped Newton method offers high simulation accuracy and greatly increases computational real-time performance under large deviation conditions, and the maximum error between the numerical simulation results and the experimental reference value is 8.1%. This study provides advanced theoretical support for component-level modelling and has certain engineering application value.
Permanent Deformation Assessment of Cold Recycled Asphalt Mixtures
Authors: Silva Vanderlei D. , Meneses João Paulo C. , Vasconcelos Kamilla , Bernucci Liedi L. B.
Published: September 2022

The objective of this study was to evaluate the behavior in terms of the permanent deformation of four cold recycled asphalt mixtures stabilized with asphalt emulsion and foamed asphalt. The analysis was conducted considering three flow number test procedures adapted for cold recycled mixtures: (i) ABNT NBR 16505 (method A); (ii) adaptation of the FN test for CRAM according to Kim and Lee’s method (method B); (iii) 3D-Move analysis software simulation of pavement structures to address the stress magnitude for the FN test (method C). The influence of the curing process on the performance of the materials was also verified. The study used an extensive database of computed pavement responses from the four different asphalt pavement structures of the experimental section subjected to axial loading of a tandem axle using the 3D-Move pavement response analysis program. The FN results using the 3D-Move data (method C) demonstrated the good mechanical behaviour with respect to permanent deformation of the cold recycled mixtures subject to axial stress and temperature. The method proposed by Kim and Lee (method B) showed little efficacy for the analysis of the CRAMs tested in this work. The ABNT NBR 16505 method (method A), conventionally used for HMA, highlighted the influence of temperature (60°C) on the CRAM mixtures. For all FN test conditions, the curing was a preponderant factor for the performance of cold recycled asphalt mixtures and should be carefully evaluated to simulate the early stage of the mixtures in the field. It is also important to verify the influence of humidity and temperature on the permanent deformation mechanism of cold recycled asphalt mixtures.
Efficient Approach for Anomaly Detection in Internet of Things Traffic Using Deep Learning
Authors: Imtiaz Syed Ibrahim , Khan Liaqat Ali , Almadhor Ahmad S. , Abbas Sidra , Alsubai Shtwai , Gregus Michal , Jalil Zunera
Published: September 2022

The network intrusion detection system (NIDs) is a significant research milestone in information security. NIDs can scan and analyze the network to detect an attack or anomaly, which may be a continuing intrusion or perhaps an intrusion that has just occurred. During the pandemic, cybercriminals realized that home networks lurked with vulnerabilities due to a lack of security and computational limitations. A fundamental difficulty in NIDs is providing an effective, robust, lightweight, and rapid framework to perform real-time intrusion detection. This research proposes an efficient, functional cybersecurity approach based on machine/deep learning algorithms to detect anomalies using lightweight network-based IDs. A lightweight, real-time, network-based anomaly detection system can be used to secure connected IoT devices. The UNSW-NB15 dataset is used to evaluate the proposed approach DeepNet and compare results alongside other state-of-the-art existing techniques. For the classification of network-based anomalies, the proposed model achieves 99.16% accuracy by using all features and 99.14% accuracy after feature reduction. The experimental results show that the network anomalies depend exceptionally on features selected after selection.
Numerical Simulation Research on Optimization of Large Deformation Control Parameters in Layered Slate Tunnel
Authors: Guo Li , He Yi
Published: September 2022

In order to explore the deformation characteristics of layered slate tunnels under different dip angles of rock formations, a numerical simulation research method for optimization of large deformation control parameters of layered slate tunnels is proposed. The plane deviation, plane deformation, and DP parameters of the structure are obtained through the calculation mode. When studying the effect of overlapping rock masses on the stability of thick tunnels, the incidence angle of the rock structure is assumed to be zero. The estimated thicknesses of the dolomite limestone surrounding the tunnel are 0.3 m, 0.4 m, 0.5 m, 0.6 m, 0.7 m, 0.8 m, and 0.9 m, respectively. Select the vertical displacement to be analyzed as the result of the calculation. In order to study the influence of the structural slope on the tunnel stability, the thickness of the rock layer was 0.6 m, and the structural slopes of 5°, 15°, 30°, 45°, 60°, 75°, and 85° were used for simulation calculations. During on-site construction, focus on monitoring the tunnel section deformation before the secondary lining construction. Every 10-20 m, when the surrounding rock changes, the observation section of the enclosure convergence and vault settlement is arranged, and the peripheral displacement rate and the vault settlement rate are calculated according to the observed deformation. The results show that the vertical displacement of the top of the tunnel is generally in a “V” shape, that is, the maximum settlement in the tunnel; when the layer thickness is 0.3 m, the maximum vertical displacement of the rock layer is 7.2 mm, and the total settlement in the lining support tunnel is 8.23 mm. When the layer thickness is 0.9 m, the vertical displacement of the rock layer is 5.14 mm, and the total settlement in the lining support tunnel is 5.22 mm2; when the layer thickness was changed from 0.9 m to 0.3 m, the maximum vertical displacement of the rock layer increased by 140%, and the settlement at the vault increased by 158%. At this time, the focus of tunnel support is on both sides of the lining structure and the vault with large vertical settlement. The phenomenon that the section of YK51+032 first decreases and then increases due to the sudden appearance of mud in the surrounding YK51+040, resulting in increased short-term deformation. Only the ZK49+356 section at the entrance of the left line has a large deformation due to the thin overlying stratum, and other sections are relatively consistent, indicating the reliability of the calculation results.
Mixed Linear Programming for Charging Vehicle Scheduling in Large-Scale Rechargeable WSNs
Authors: Prakash P. Suman , Janardhan M. , Sreenivasulu K. , Saheb Shaik Imam , Neeha Shaik , Bhavsingh M.
Published: September 2022

Because wireless sensor networks (WSNs) have low-constrained batteries, optimizing the network lifetime is a primary challenge. Rechargeable batteries are a solution to prolong the lifetime of a sensor node instead of restricting their functionalities to save energy. Wireless energy transmitters have the added benefit of providing a charger for the batteries of the sensor nodes in the WSN. However, scheduling one or more charging vehicles efficiently to recharge multiple sensor nodes is challenging. In this context, this paper provides a solution to recharge the sensor nodes using charging vehicle scheduling in WSNs through a mixed linear programming approach. Initially, we identify a heuristic value of each sensor node based on their residual energy, distance from a charging vehicle, available data packets, and other metrics. Further, a set of nodes is recharged by identifying the best charging vehicle to prolong their lifetimes, as well as the lifetime of the network as a whole. We simulated the proposed approach using a Python simulator, tested using different performance metrics, and compared using the recently published works. We notice the superior performance of the proposed work under various metrics in time and query-driven WSNs.
Composition, Biogenesis, and Role of Exosomes in Tumor Development
Authors: Moeinzadeh Leila , Razeghian-Jahromi Iman , Zarei-Behjani Zeinab , Bagheri Zohreh , Razmkhah Mahboobeh
Published: September 2022

The role of exosomes and their mechanism of action at the tumor site have received increasing attention. These microvesicles are produced by a wide range of cells including mesenchymal stem cells (MSCs) and immune cells. In particular, tumor cells release remarkable amounts of exosomes which spread to distant organs through the blood and enhance the possibility of tumor metastasis. In spite of results on tumor promoting properties, there are reports demonstrating the tumor inhibiting effects of exosomes depending on the type of the tumor and cell source. This review aims to have a comprehensive appraisal on the biogenesis, composition, and isolation of exosomes and then highlights the current knowledge of their role in cancer progression or inhibition by special focusing on MSC’s exosomes (MSC-EXOs).
A 146-dB-Ohm Gain 14-pARMS Noise Patch-Clamp Amplifier for Whole-Cell Ion Current Detection
Authors: Pan Wenbin
Published: September 2022

The membrane clamp technique is an important tool to reflect the electrophysiological characteristics of cells by recording the ionic currents of cellular channels. Embedded systems work in systems designed for specific user groups and are used to implement specific functions. The membrane clamp amplifier built with embedded technology has the advantages of miniaturization, specialization, low power consumption, high integration, high resource utilization, and a long life cycle, which can avoid the inconvenience to developers and experimenters due to the update of general-purpose computer software and hardware. In this paper, a patch-clamp amplifier (PCA) based on a transimpedance amplifier (TIA) is proposed, which includes a glass microelectrode series resistance/capacitance compensation circuit and feedback resistor parasitic capacitance compensation. The prototype is designed using 180 nm CMOS technology and occupies an area of

720
 
μ
m
×
630
 
μ
m

. The prototype achieves a transimpedance gain of 145.6 dB-Ohm, a -3 dB bandwidth greater than 15 kHz, and an input reference noise current of 13.98 pARMS. Experimental results show that the proposed PCA is capable of compensating up to 30 pF of electrode capacitance and up to 10 MΩ for 86% of the series resistance, respectively. In addition, when the feedback resistor parasitic capacitance compensation circuit is enabled, the overshoot phenomenon disappears, overcoming the shortcomings of the conventional diaphragm clamp amplifier current clamp and maintaining the original key performance.