bluuebunny/crossref_metadata_2025 huggingface dataset:
The Protective Mechanism of Afuresertib against Esophageal Cancer
Authors: Min Bo , Wang Yan , Liang Feng , Wang Cheng-Xiang , Wang Fan , Yang Zhi
Published: July 2022

Esophageal cancer (EC) is a common malignant tumor of the digestive system. Exploring the molecular biological mechanism of EC will help to clarify its carcinogenesis mechanism, find important molecular targets in the process of carcinogenesis, and provide new ideas for the diagnosis and treatment of EC. Phosphatidylinositol-3-kinase (PI3K)/protein kinase B (Akt) signaling pathway is one of the signal transduction pathways most closely related to cell proliferation and apoptosis. The regulation of various downstream molecules affects the proliferation and growth of tumor cells. In this study, we determined the effect of different concentrations of afuresertib on cell viability by MTT assay and determined the effect of afuresertib on cell apoptosis by Annexin V-FITC/PI dual staining. Animal experiments verified the effects of afuresertib on VEGF, bFGF, and PI3K/Akt. Our results indicated that afuresertib is closely related to the survival, proliferation, and apoptosis of esophageal cancer cell lines. More importantly, we found that afuresertib could reduce tumor volume and mass in EC rats through in vivo experiments. In conclusion, afuresertib may exert its antitumor effect by inhibiting the expression of PI3K and Akt-related proteins in rat tumor tissues.
Network Pharmacology Integrated Molecular Docking to Explore the Mechanism of Blister Beetle Therapy for Lung Adenocarcinoma
Authors: Deng Shoujun , Mao Ying , Li Heng , Li Gaofeng
Published: July 2022

Lung adenocarcinoma (LUAD) is one of the major causes of cancer death in the world. Studies show that the effective anticancer component in blister beetles is cantharidin, which can improve chemotherapy efficacy, median survival, and prognosis of LUAD. However, the antitumor mechanism of blister beetles has not been fully clarified. This study aimed to identify the key targets of the treatment of LUAD by blister beetles based on the principle of network pharmacology. An integrated approach including network pharmacology and a molecular docking technique was conducted, which mainly comprises target prediction, weighted gene correlation network analysis (WGCNA) analysis, network construction, gene ontology, and pathway enrichment analysis. 35 key targets were obtained and significantly associated with response to external stimuli, collagen binding, cyclin binding, organic acid binding, pyruvate metabolism, glycolysis, and amino acid biosynthesis pathways. Both LASSO regression and the RF model had a high predictive ability, and 9 candidate genes were screened, among which BIRC5 and PLK1 were the key targets for the treatment of LUAD by using blister beetles and showed significant survival significance. Cantharidin exerts its antitumor effects through 8 targets in 32 pathways, while BIRC5 and PLK1 have obvious survival significance.
Numerical Simulation of Gas-Solid Coupling in Pressure-Relief Gas Drainage of Short-Distance and Underprotective Steeply Inclined Coal Seam Mining
Authors: Peng Xinshan , Wang Zhaofeng , Qi Lingling
Published: July 2022

The accuracy of the drainage radius plays a vital role in the gas drainage effect, and the establishment of the drainage model and numerical calculation of the model has an essential value for the accurate determination of the drainage radius. Based on the elastoplastic constitutive model of mining coal and rock mass, effective stress equation, gas content equation, gas flow continuity, and control equation established by predecessors, the gas-solid coupling model of coal-rock deformation and pressure-relief gas flow in protective layer mining was established in this paper. The numerical simulation prototype was based on the mining engineering practice of a short-distance and underprotective steep seam mining in a mine in western Henan of China. COMSOL Multiphysics coupling software was used to numerically calculate the coupling model, and the influence radius of different mining pressure-relief area and different drainage time was obtained. The results show that under the same geological conditions and mining conditions, the impact range of drilling in the pressure-relief area of the protected layer is larger than that of the nonrelief area. As the working face of the protection layer advances, the pressure-relief area of the protected layer gradually increases, the influence range of the drainage borehole increases, the drainage borehole has undergone a process of initial stress-stress concentration-stress reduction-stress recovery successively, and the strike drainage radius is larger than the inclined.
FT-IR Analysis of Beta vulgaris Peels and Pomace Dye Extracts and Surface Analysis of Optimally Dyed-Mordanted Cellulosic Fabrics
Authors: Rotich Vincent , Wangila Phanice , Cherutoi Jackson
Published: July 2022

FT-IR spectroscopy is a nondestructive technique that can be utilized for the qualitative characterization of natural dyes and dyed substrates through structure elucidation. This work aimed at the characterization of natural dye extract from Beta vulgaris peels and pomaces and surface analysis of optimally dyed-mordanted cotton (cellulosic) fabric using Fourier Transform Infrared (FT-IR) spectroscopy, as well as colour fastness tests (light, washing, rubbing, and perspiration). Response surface methodology (RSM) was employed in the optimization of dyeing temperature (T), time (t), and pH, as well as applying the relative percent change in colour strength (ΔE) of dyed fabrics as the response. The natural mordants (tannic acid-alum) were compared with synthetic mordants (K2Cr2O7, FeSO4, and CuSO4) using the three mordanting methods. The optimized dyeing parameters were T (55°C), t (75 minutes), and pH (6.5), as a result of comparatively high relative % ΔE (11%). The FT-IR analysis of the extract revealed different characteristic absorption peak values for various functional groups: 3282.82 cm−1 (–OH stretch), 2932.96 cm−1 (C–H stretch), and 1588.91 cm−1 (C=N stretch), among others. The C=N bond stretch biomarks the presence of nitrogen-containing compounds such as the reddish betanin pigments.

p
>
0.05

of the dyeing parameters implied that they are not significant but affect dyeing probably alongside other factors such as mordanting. The spectral analysis of bleached and optimally dyed (nonmordanted and mordanted) fabrics revealed varied peaks indicating different functional groups suggesting the presence of cellulose and the binding of mordants with chromophores in the dye extract which yield different shades. Postmordanting showed mean ratings of 4-5 (excellent) among all fastness tests, displayed by tannic acid-alum, FeSO4, and CuSO4. Generally, mordanting resulted in enhanced dye stability and improved colour fastness. To identify specific chromophores in dye extracts and their molecular configurations due to mordants, advanced FT-IR hyphenated systems can be employed.
Application of Clustering Algorithm in English Proficiency Evaluation under the Framework of Big Data
Authors: Shang Jiling , Liang Chaohui
Published: July 2022

With the advancement of science and technology as well as the continual improvement of big data analysis technology, the accuracy of traditional data information classification has declined, making it impossible to assess English ability effectively. A competency evaluation model for college English teaching vacancies is built using this information and the big data architecture. The ability of the big data information model is evaluated and feature information of ability constraints is extracted using the predefined constraint parameter index analysis model. Simultaneously, the K-means clustering algorithm is used to cluster and integrate a series of index parameters of English ability using big data, and the English teaching resource allocation plan is completed in accordance with this, allowing for the scientific evaluation of English teaching ability. The results of the studies show that the clustering method utilized in the context of big data can aid in the evaluation of English competence. In the experiment, four test cycles of English teaching skills were set up, and the effectiveness of the English evaluation techniques described in this paper and two classical cluster evaluation methods were compared and tested. The research shows that using the method described in this paper to evaluate English teaching skills can significantly improve the full utilization of data.
The Promotion Strategy Analysis for Green Degree of Railway Engineering Based on a System Dynamic Flow Diagram
Authors: Tang Juanjuan , Wang Mengjun , Tang Xiaoying , He Zheng
Published: July 2022

This article made a system dynamics flow diagram (SD flow diagram) to describe the green railway engineering (GRE) system, which provides a theoretical basis for discussing the source and change process of the green degree of railway engineering(GDR) and also provides a practical basis for accurate policy implementation and evaluation promotion of GRE management. Based on the definition of GDR and using “input‐output” relationship to analyze system structure of GRE, set two green goals of environmental and resource cost decreases as the clue, deconstructed practice process based on the principle of construction to form GRE system dynamic flow diagram, which aims to reveal the key influencing factors and promotion path of GDR. The results of the research show that (1) the green schemes set the foundation of GDR, including 3 schemes of green planning, green design, green construction, and determine the expected control values (VE) of 4 status, namely ecological damage degree, environmental pollution degree, land occupation degree, and resources consume degree. (2) The deviation of expected control values (VE) and actual control values (VA) from 4 status is the premise of whether the GDR needs to be optimized or improved, and 2 practice achievements of green knowledge innovation and green culture creation provided different promotion paths for GDR. (3) According to the SD flow diagram constructed by research, the 3 schemes are influenced by regional ecological carrying capacity, social material resource reserve, green knowledge reserve, green talent reserve , reasonable goals setting, strengthening preliminary research, making full use of resources, deepening the connection of procedures, and so on are conducive to build a foundation for GDR. (4) The 4 status are directly controlled by seven rate variables, which promote the dynamic optimization of GDR by technology, equipment, institution management, and behavior management. The SD flow diagram of GRE provides 2 contributions. The first provides an analytical basis for the study of the promotion strategy of GDR, and the second provides a model basis for further quantitative study of GDR.
Effect of Prenatal Perineal Massage on Postpartum Perineal Injury and Postpartum Complications: A Meta-Analysis
Authors: Chen Qiuxia , Qiu Xiaocui , Fu Aizhen , Han Yanmei
Published: July 2022

Background. The efficacy of perineal massage is controversial. The study was aimed at comparing the effects of perineal massage on perineal injury and complications. Methods. PubMed, Embase, the Cochrane Library, and ISI Web of Science were searched for literature on the relationship between prenatal perineal massage and postpartum perineal injury and complications until April 2022. Indicators included postpartum perineal tears, perineotomy, postpartum perineal pain, natural labour, and postpartum incontinence. Finally, RevMan5.4 software was used to analyze the extracted data. Results. A total of 6487 subjects in 16 studies were included, with 3211 who received perineal massage and 3276 did not. There was no significant difference in 1-2 degree perineal tearing between the intervention group and the control group (

RR
=
0.96

, 95% CI [0.90, 1.03],

P
=
0.30

), and there was no heterogeneity between studies (

P
=
0.62

,

I

2

=
0
%

), indicating publication bias. Compared with the control group, prenatal perineal massage significantly reduced the incidence of 3-4 degree perineal tears (

RR
=
0.56

, 95% CI [0.47, 0.67],

P
<
0.00001

), and there was no heterogeneity between studies (

P
=
0.16

,

I

2

=
30
%

), indicating publication bias. Compared with the control group, prenatal perineal massage reduced the risk of lateral perineal resection (

RR
=
0.87

, 95% CI [0.80, 0.95],

P
=
0.001

), and there was no heterogeneity between studies (

P
=
0.14

,

I

2

=
31
%

), and there was no publication bias. Compared with the control group, prenatal perineal massage reduced the risk of postpartum pain at 3 months (

RR
=
0.64

, 95% CI [0.51, 0.81],

P
=
0.0002

). There was no significant heterogeneity among studies (

P
=
0.23

,

I

2

=
31
%

). Conclusion. Compared with no prenatal perineal massage, prenatal perineal massage can reduce the risk of perineal injury, the incidence of lateral perineal resection, and the incidence of long-term pain.
Prognostic Evaluation of CT Imaging Big Data-Assisted Arterial Chemoembolization Combined with 125I Seed Implantation for Non-Small-Cell Lung Cancer
Authors: Xie Peng , Zhang Yan , He Lidong
Published: July 2022

Objective. To investigate the prognostic impact of computed tomography (CT) imaging big data-assisted arterial chemoembolization combined with iodine 125 (125I) seed implantation on patients with non-small-cell lung cancer (NSCLC). Methods. A total of 116 patients with intermediate and advanced NSCLC hospitalized in our hospital from August 2019 to August 2020 were selected and divided into a control group and an experiment group (58 cases in each group) by random number table method for the study. The patients in the experiment group were treated with CT imaging big data-assisted arterial chemoembolization combined with 125I seed implantation, while the patients in the control group were treated with arterial chemoembolization alone, with the use of gemcitabine combined with cisplatin (GP) in chemotherapy. The prognostic impact was determined by analyzing recent efficacy; the incidence of adverse effects; tumor size and CT perfusion parameters including blood volume (BV), blood flow (BF), and permeability surface (PS); frailty state and quality of life; and the levels of serum tumor markers including carcinoembryonic antigen (CEA), glycoconjugate antigen 125 (CA125), cytokeratin 19 fragment antigen 21-1 (CYFRA21-1), microRNA- (miRNA-) 137, and miR-379-5p. In addition, frailty status was evaluated using the Fried frailty phenotype (FP) scale, and quality of life was determined according to Karnofsky Performance Status (KPS) score. Kaplan-Meyer (KM) method was used to analyze the survival rate of NSCLC patients after a 12-month follow-up. Results. The remission rate in the experiment group (77.59%) was higher than that in the control group (56.90%) (

P
<
0.05

). Tumor size, BV, BF, PS, serum CEA and CA125 levels, and FP value in both groups were dramatically reduced after treatment compared with before treatment, especially in the experiment group after 1 and 3 months of treatment (

P
<
0.05

). Meanwhile, the serum miR-137 and miR-379-5p levels and KPS scores in both groups were higher after treatment than before treatment, especially in the experiment group after 1 and 3 months of treatment (

P
<
0.05

). However, there was no significant difference in the incidence of nausea and vomiting, alopecia, diarrhea, myelosuppression, and hemoptysis of NSCLC patients in both groups after treatment (

P
>
0.05

). Further, the 12-month survival rate of NSCLC patients was higher in the experiment group (84.21%) than in the control group (64.29%) (

P
<
0.05

). Conclusion. CT imaging big data-assisted arterial chemoembolization combined with 125I seed implantation for NSCLC can improve recent efficacy and the prognosis of NSCLC patients by inhibiting tumor progression with a certain degree of safety.
Application Research of Data Mining in Urban Logistics Planning
Authors: Wang Xiaohu
Published: July 2022

With the continuous development of information technology and the arrival of the era of big data, data mining technology has been applied in more and more fields. Data mining refers to the process of searching for information hidden in a large amount of data through algorithms. This process uses various technical methods and has a wide range of applications. Urban logistics is a special logistics system, an open and complex system, which has a profound impact on the development of cities. Using data mining technology to plan urban logistics can more efficiently improve the speed of urban logistics, save logistics costs, and speed up the construction of urban economy. This paper is aimed at studying urban logistics planning model based on data mining and analyzing the calculation accuracy and reliability of the model. This paper proposes to establish a relevant input-output data mining model according to the relationship between various industries and logistics in the city and conduct a calculation test on the model. The test results show that the data mining model proposed in this paper has an average calculation accuracy of over 85% and a maximum of 99%, which shows that the model has strong practical reliability and can be effectively applied to the planning of urban logistics.
In Vivo Antiplasmodial Potential of the Leaf, Mesocarp, and Epicarp of the Raphia hookeri Plant in Mice Infected with Plasmodium berghei NK65
Authors: Oluyori Abimbola Peter , Nwonuma Charles , Akpo Theresa , Inyinbor Adejumoke Abosede , Dada Oluwasogo Adewumi , Oladeji Oluwole Solomon , Ogunnupebi Temitope Aminat
Published: July 2022

Background of the study. Raphia hookeri G. Mann & H. Wendl (Arecaceae) is an important plant used in folkloric medicine to treat various ailments such as inflammation, tumor, microbial infections, paralysis, hypertension, and rheumatism, primarily in Africa and Asia. Aim and Objectives. The study was designed to investigate the antiplasmodial and antioxidant potencies of Raphia hookeri leaves, mesocarp, and epicarp using Plasmodium infected mice. The bioactive constituents were further explored via gas chromatography-mass spectrometry (GC-MS). Results. The presence of alkaloids, fats and oils, phenolic, and flavonoids was detected via the qualitative test which was confirmed from the result obtained from the GC-MS chromatogram of ethanolic leaves extract. The GC-MS chromatogram of the constituents analogous to the twenty peaks was analyzed as follows: dodecanoic acid (1.94%), 2-undecanone (3.42%), hexadecanoic acid (44.84%), oleic acid (7.45%), octadecanoic acid (8.41%), narcissidine (2.38%), 1-dotriacontanol (2.38%), α-sitosterol (2.02%), and lupeol (1.42%). The total phenolics and flavonoids of 118 and 23.3702 mg/g were analyzed in the leaves extract. The leave extract exhibited inhibitory activity of 73.49% against free radicals which could lead to inflammation. The extracts and chloroquine-treated groups showed significant decrease in percentage parasitaemia with pronounced activity observed in chloroquine groups. Conclusion. The curative and scavenging potencies of studied plant could be attributed to the metabolites analyzed and could guide the formulation of new pharmacophores against malaria infections and inflammations.
Game Analysis on the Influence of Participants’ Psychology on Value Co-Creation in Community E-Commerce Platform Supply Chain
Authors: Ziyu Liu , Lixia Zhao
Published: July 2022

As e-commerce continues to develop, online shopping is becoming more and more popular, and community e-commerce platform emerges as the times require. To make the participants in the supply chain of community e-commerce platform play a greater role in value creation, the supply chain of community e-commerce platform can get more benefits. This paper studies the psychology of all participants in the supply chain of community e-commerce platform, so as to establish the value creation mechanism of community e-commerce platform. Through the research, it is found that by studying the psychology of the two main participants in the supply chain of community-based online store, community e-commerce platform and community leader, and considering whether they will do their best to participate in value co-creation, a two-party evolutionary game model is constructed. By calculating the dynamic replication equation, the influence of the psychology of the participants in the supply chain of the community-based online store on the supply chain revenue of the community-based online store is obtained, and the evolutionary trend of both parties in the game is simulated by Matlab. It is concluded that the key factors that affect the co-creation of the value of a community-based online store supply chain are the proportion of increased income, the cost of participating in co-creation of value, and the purchasing power of consumers brought by participating with both parties. Finally, some suggestions and countermeasures are put forward through the analysis of simulation results.
Climate Change Adaptation and Mitigation Strategies in Madda Walabu District, Bale Zone, Southeast Ethiopia
Authors: Abdela Umer
Published: July 2022

Climate change is one of the most serious environmental challenges affecting people all over the world causing widespread agitation and having an impact on economic systems such as agricultural production. Local communities in Madda Walabu District of Bale Zone, Southeast Ethiopia, are heavily dependent on agriculture. In contrast, the agricultural activity of the local community was depressed by threats such as increased temperature, prolonged drought, and changes in rainfall distribution. To mitigate the adverse consequences of climate change, it is important to understand the local knowledge of adaptation and mitigation actions. This research was a look into the climate change adaptation and mitigation in Ethiopia’s Madda Walabu District households to survive. The objective of the study was to investigate climate change adaptation and mitigation strategies for the synergy of the communities in the Madda Walabu District. A multistage stratified random sampling procedure and three villages were randomly selected. A total of 150 sample households from the three villages were interviewed. Descriptive statistics were employed to analyse data, and the Statistical Package for Social Science (SPSS) was used for analysis. The results showed that most of the respondents have perceived an increase in temperature, fluctuation in the rainy season, and a decrease in the amount of rainfall. The respondents perceived that they are vulnerable to local climate variability. This study also revealed that 78% of the respondents followed different adaptation strategies to climate change, such as irrigation intensification, agroforestry, agronomic, and cultural practices. Adaptation and mitigation measures can be developed by enhancing the adaptive and mitigating capacity of forest-dependent communities. Therefore, awareness creation on climate change, variability, adaptation, and mitigation measures should be considered toward enhancing the adaptive capacity of the local communities in line with providing seasonal weather information. More research in the domain of climate change and mitigation techniques is needed as several statistical results were not as predicted, and the amount of adaptation and mitigation synergies was low. Furthermore, the study’s households were predominantly pastoralists, and their climate change adaptation and mitigation strategy for the livestock sector was an issue that needed to be addressed urgently.
Study on Simulation Law of Cuttings Migration in Shale Gas Horizontal Wells
Authors: Chen Ye , Zheng Youcheng , Zeng Bo , Fan Yu , Wu Pengcheng , Wang Xudong , Xia Chengyu
Published: July 2022

Inland and offshore oil exploitation, large displacement, and horizontal well are more and more widely used, which can significantly improve the oilfield exploitation efficiency and economic benefits. However, in the complex drilling process, the debris particles generated in the large displacement and horizontal well section drilling are deposited in the lower low-speed area of the lower part of the ring empty shaft. It will cause underground accidents such as complex moving, drilling, increased resistance, drilling column fracture, and so on, which will seriously affect the efficiency and economic benefits of drilling. This paper addresses the problem of annular debris accumulation and the characteristics of high-density drilling fluid and uses the CFD-DEM (discrete cell method) method to simulate the debris movement process in the well eye based on the coupling of FLUENT and EDEM software. The edge calculation is used to provide strong resource allocation and calculation force support for this paper, fully consider the influence of the interaction between drilling fluid, debris particles, and drilling rod and well wall, and explore the influence law of the eccentric ring space of the conventional steel drill pipe.
Cryptanalysis of a Certificateless Hybrid Signcryption Scheme and a Certificateless Encryption Scheme for Internet of Things
Authors: Shan Shan
Published: July 2022

In wireless and mobile networks with limited storage and computing resources, certificateless cryptography has more advantages because of its low dependence on infrastructure and short security parameters. Recently, Gong et al. and Karati et al., respectively, proposed a new certificateless scheme in the Internet of Things environment, one of which is a certificateless hybrid signcryption scheme, and the other’s basis is a certificateless encryption scheme. Gong et al. and Karati et al. gave the formal security proof for their schemes, respectively. In this article, the attack algorithms against these two schemes are presented separately, thus proving that their schemes are insecure and not suitable for the Internet of Things environment.
Cropping System Intensification: An Approach to Increase Yield, Water Productivity, and Profitability in North-West Bangladesh
Authors: Hossain Md. Belal , Islam Md. Towfiqul , Roy Debjit , Mahmud Mir Nurul Hasan , Paul Priya Lal Chandra , Yesmin Mst. Shetara , Kundu Palash Kumar , Karim Nazmun Nahar , Kader Md. Abdul , Kabir Md. Humayoun
Published: July 2022

Water productivity improvement is getting the prime concern to sustain irrigated rice production in the water-scarce areas of Bangladesh under changing climate. Besides, profitable cropping pattern selection is one of the major indicators of commercial agriculture. The study was conducted at Mithapukur and Pirganj Upazilas of Rangpur district during 2018–2020 to evaluate the water saving and profitability of three crop cropping patterns over two crops pattern. The experiment involved two improved patterns, T. Aman-Mustard-Boro (CP1) and T. Aman-Potato-Boro (CP2), and one locally popular pattern, T. Aman-Fallow-Boro (CP3). Irrigation management involved supplemental irrigation for T. Aman rice, irrigation application after disappearing standing water for Boro rice, and two irrigations at critical stages of potato and mustard. Both CP1 and CP2 received higher rainfall than CP3 because the delayed transplanting of Boro rice captured more rainfall. The improved patterns of CP1 and CP2 saved 22–40% of irrigation water compared with CP3. Among the patterns, CP2 achieved the highest rice equivalent yield (REY) of 21.1–33.6 t·ha−1 due to excellent potato production. Similarly, CP2 provided the highest irrigation water productivity because of higher REY as well as less irrigation requirement. Both CP1 and CP2 patterns returned a higher gross margin than CP3. The findings indicated that the inclusion of potato and mustard in the T. Aman-Fallow-Boro cropping pattern saved irrigation water as well as increased production and economic benefit. Adoption of these water-efficient cropping patterns may reduce groundwater irrigation in the water-scarce areas of Bangladesh.
Extensively Drug-Resistant Myroides odoratus in Critically Ill Patients: A Case Series and Literature Review
Authors: O’Neal Melissa , Labay Caitlin E. , Harris Jesse E. , Musick William L. , Cernoch Patricia L. , Grimes Kevin A. , Lin Jiejian , Shah Shivan , Ramos-Salazar Elizabeth
Published: July 2022

The bacterial genus Myroides, like other members of the Flavobacteriaceae family, consists of aerobic, non-motile, Gram-negative bacilli. Myroides spp. is considered predominantly opportunistic pathogens as, historically, most documented infections have been in immunocompromised individuals. Along with advancements in molecular assay testing, there are growing reports of clinically relevant Myroides spp. infections in immunocompetent individuals. These organisms display broad antimicrobial resistance, and while research into their mechanisms of resistance is progressing, genetic testing has revealed metallo-β-lactamases present in their genome. The sporadic identification of Myroides spp. and ongoing clarification of resistance patterns make empiric treatment difficult. This report documents two cases of extensively drug-resistant Myroides odoratus isolated from critically ill but otherwise immunocompetent patients followed by a review of available literature on Myroides spp. antibiotic sensitivities. Our findings indicate that minocycline and moxifloxacin have the highest documented in vitro activity against Myroides spp.
Mechanism of Hyperbaric Oxygen Combined with Astaxanthin Mediating Keap1/Nrf2/HO-1 Pathway to Improve Exercise Fatigue in Mice
Authors: Zhang Zheng , Gao Binghong
Published: July 2022

Objective. This work aimed to explore the application and optimization of the electrophysiological monitoring system to real-time monitor the exercise-induced fatigue (EIF) animals and investigate the intervention mechanism of hyperbaric oxygen (HBO) combined with natural astaxanthin (NAX) on EIF. Methods. First, a system was constructed for acquisition, processing, and feature extraction of electrocardiograph (ECG) signal and surface electromyography (EMG) signal for EIF monitoring. The mice were randomly divided into a control group (CG), EIF group (EG), HBO treatment (HBO) group, and HBO combined with NAX treatment (HBO + NAX) group. The effect of the constructed system on classification recognition of EIF was analyzed. The levels of serum antioxidative stress indicators of mice in each group were detected, including malondialdehyde (MDA), catalase (CAT), superoxide dismutase (SOD), glutathione (GSH), glutathione-peroxidation (GSH-Px), and total antioxidant capacity (T-AOC). In addition, the mRNA and protein levels of Keap1/Nrf2/HO-1 pathway related genes in liver tissue were detected. Results. The results showed that the normalized least mean squares algorithm effectively removed the motion artifact interference of ECG signal and can clearly display the signal peak, and high-pass filtering and power frequency filtering effectively removed the motion and baseline drift interference of surface EMG signal. The recognition sensitivity, specificity, and accuracy of the EIF recognition model based on the long- and short-term memory network were 90.0%, 93.3%, and 92.5%, respectively. Compared with the CG, the characteristics of ECG signal and surface EMG signal of the mice in the EIF group changed greatly (

P
<
0.05

); the serum MDA level was increased obviously; the CAT, SOD, GSH, GSH-Px, and T-AOC levels were observably reduced (

P
<
0.05

); the expressions of Keap1 and HO-1 in the liver were reduced remarkably, while the expression of Nrf2 was increased notably (

P
<
0.05

). Compared with the EIF group, the characteristics of ECG signal and surface EMG signal of the mice in the HBO and HBO + NAX groups were obviously improved (

P
<
0.05

); the serum MDA level was significantly reduced; the CAT, SOD, GSH, GSH-Px, and T-AOC levels were greatly increased (

P
<
0.05

); the expressions of Keap1 and HO-1 in the liver were greatly increased, while the expression of Nrf2 was decreased sharply (

P
<
0.05

). Conclusion. Therefore, the feature extraction and classification system of ECG signal combined with surface EMG signal could realize real-time monitoring of EIF status. HBO intervention could improve the body’s ability to resist oxidative stress through the Keap1/Nrf2/HO-1 pathway and then improve the EIF state. In addition, the improvement effect of HBO + NAX was more obvious.
Effect of New 2-Thioxoimidazolidin-4-one Compounds against Staphylococcus aureus Clinical Strains and Immunological Markers’ Combinations
Authors: Subhi Hanan Tariq , Fatah Hiwa Ramadhan , Muhammad Hanaa Ali
Published: July 2022

Although the structure-activity relationship indicates that the 4-thioxoimidazolidin ring is essential for antibacterial activities and pharmaceutical applications, there were no enough studies on the derivatives of this compound. Evaluating the new hydantoin compounds C5 (3-((2-bromobenzylidene) amino)-2- thioxoimidazolidin-4-one) and C6 (3-((4- methoxybenzylidene) amino)-2-thioxoimidazolidin-4-one) that were prepared against clinical Staphylococcus aureus isolates for antibacterial, antibiofilm, and antihemagglutination activities is the aim of this study. Therefore, the potential clinical resistance of the strains was evaluated by their ability to form biofilms, antibiotic resistance, and agglutinate erythrocytes macroscopically and microscopically; besides, the bacterial biofilm was screened for any association with the patient’s serum immunoglobulin levels and complements. Despite the effective concentration for C5 and C6 compounds, which is ≤ 31.25 μg/ml, the reduction rate is not concentration-dependent; it depends on the molecular docking of the hydantoin compounds. Hence, the effect of the minimal inhibitory concentrations (MICs) is variable. In this study, the results for the compounds (with the concentration of 31.25–62.5 μg/mL for C5 and 62.5–125 μg/mL for C6) significantly manifest the antibacteria, antibiofilm, and antihemagglutination effects against the virulent strains of S. aureus due to the high percentage of biofilm inhibition that was caused by the new hydantoin compounds. Besides, time-kill kinetics studies showed that these compounds pose bactericidal action. Overall, this study revealed that the new hydantoin derivatives have an interesting potential as new antibacterial drugs through the inhibition of bacterial adhesion. The infections of these isolates activate the complement system through the lectin pathway. Nevertheless, these compounds can be improved in order to be used at even lower concentrations.
Comparing Middle School Students’ Scientific Problem-Solving Behavior in Hands-On Manipulation Performance Assessment: Terms by Eye-Tracking Analysis
Authors: Zang Shiyi , Lin Pingting , Chen Xinyu , Bai Yi , Deng Huihua
Published: July 2022

This study specifically designed an eye-tracking supported scientific problem-solving assessment: hands-on manipulation task system to explore the differences in visual attention and cognitive processes between high and low science achievement groups. Thirteen students with high science achievement and fourteen students with low science achievement participated. Students needed to complete the hands-on manipulation assessment, consisting of three modules, including selecting experimental equipment, experimental design, and building the experimental model. Behavioral and eye movement data were collected during the process. The results showed that the high science achievement group allocated more visual attention to the hands-on manipulation task, acquired more information through visual fixation, and assigned more attention to the key area. In module three of the hands-on manipulation task, the high science achievement group transformed from a visual channel to a tactile channel, and they generated more hands-on behaviors depending on the experimental area. Furthermore, the results showed a high correlation between students’ eye movement behavior and the performance of scientific problem-solving assessments. Eye movement behavior could predict students’ performance in scientific problem-solving. The average fixation duration and the average fixation duration of the interest area were two significant determining parameters. The implications of the experimental results for front-line science education, curriculum designers, and science assessment were also discussed.
TPPU Downregulates Oxidative Stress Damage and Induces BDNF Expression in PC-12 Cells
Authors: Wu Qiong , Lin Minlin , Wu Peng , Zhao Chongyan , Yang Shuang , Yu Haiying , Xian Wenjiao , Song Jingfang
Published: July 2022

Objective. Ischemia-reperfusion is an ongoing clinical challenge that can lead to a series of pathological changes including oxidative stress. The inhibition of soluble epoxide hydrolase inhibitor (sEH) by 1-(1-propanoylpiperidin-4-yl)-3-[4-(trifluoromethoxy)phenyl]urea (TPPU) results in an anti-inflammatory, cardioprotective, and blood vessel growth-promoting effects. Therefore, this study focused on the protective effect of TPPU on a rat pheochromocytoma (PC-12) cell oxidative stress model induced by H2O2. Methods. CCK-8 and Hoechst 33342 were used to evaluate cell apoptosis and western blot to detect the apoptotic proteins and brain-derived neurotrophic factor (BDNF) expression. Result. The incubation with 100 μM, 50 μM, and 25 μM TPPU significantly increased PC-12 cell viability. Epoxyeicosatrienoic acid (EET) pretreatment also protected PC-12 cells from oxidative stress. In addition, TPPU reduced caspase-3 and Bax expression and induced Bcl-2 expression, and EETs exerted the same effect on caspase-3 expression as TPPU. A positive relationship was found between TPPU or EET incubation and BDNF expression. Conclusion. These results revealed that TPPU reduced PC-12 cell oxidative stress injury induced by H2O2 and promoted BDNF expression.
Synthetic Method and Oil Displacement Capacity of Nano-MoS2
Authors: Zhang Liang , Zhou Fujian , Lei Guofa , Ge Bingyu , Li Yuan , Yu Guolin , Zhao Longhao , Li Bojun , Yao Erdong
Published: July 2022

Nanomaterials can be used to emulsify and reduce the fluid viscosity, reduce pore pressure, and increase injection volume. Therefore, nanomaterials have a great potential in the enhanced oil recovery. However, the current research on nanooil flooding materials mostly focuses on the evaluation of the oil-displacing effect, and the lack of research on the size of the oil-displacing materials for tight oil is obvious. In this work, 1T phase molybdenum disulfide nanosheets were prepared by one-step hydrothermal method, which were further modified with CTAB powders to obtain MoS2-CTAB nanosheet powders. Combined with SEM, TEM, and AFM methods, the nanosheets were optimized based on the appearance and morphology. The stability, wetting reversal, and oil displacement capacity of selected nanosheets were tested. The results show that the best experimental condition to synthesize small-sized molybdenum disulfide is 200°C in the weak acid environment through 12 h. Due to the steric hindrance effect of the CATB molecule, the size and interlayer gap of MoS2 nanosheets increased slightly after modification. The layer gap reaches to 0.7 nm, and the number of stacked layers is 3~4 layers. Strong Raman bands are observed at 137 cm-1, 291 cm-1, and 391 cm-1, which indicates that the synthesized product is 1T MoS2. The modified MoS2 nanosheets in aqueous solution have better dispersion than the unmodified one. After the Zeta test, it was found that the absolute value after modification became lower, indicating that the modification of nano-MoS2 was effective. Moreover, the MoS2-CTAB can complete the wetting reversal within 4 h and make the interfacial tension reach 0.89 mN/m at 0.005 wt%, which greatly reduces the capillary pressure. The enhanced oil recovery effect of MoS2-CTAB nanosheets increased by 85.7% compared with that before modification and 62.5% higher compared with pure surfactant.
Prediction and Analysis of Contemporary College Students’ Mental Health Based on Neural Network
Authors: Pei Jingjing
Published: July 2022

For an ordinary student who has just graduated from high school, interpersonal communication and performance evaluation on campus is also a huge challenge. In order to solve the future and current competition and pressure faced by contemporary college students, many college students have mental health problems. This paper evaluates, predicts, and analyzes the mental health status of contemporary college students based on a neural network algorithm. The computer technology of neural network algorithm is applied to the prediction of contemporary college students’ mental health. Data mining technology based on a neural network algorithm is used to collect data sources. Finally, the prediction results are analyzed, and the main psychological stressor factors of contemporary college students are analyzed by cluster analysis. The results show that there is no significant correlation between college Students’ inferiority complex and dependency map and the incidence of mental diseases and majors. A comprehensive physical symptom test was conducted on individuals to understand students’ psychological characteristics and behavior.
Investigation on Mechanical and Thermal Properties of a Kenaf/Jute Fiber-Reinforced Polyester Hybrid Biocomposite
Authors: Albaqami Munirah D. , Dwivedi Yagya Dutta , Krishnamoorthy N. , Kumar M. Logesh , Manjunatha L. H. , Chowdary Ch. Mallika , Wabaidur Saikh Mohammad , Prasad A. Rajendra. , Chikhale Rupesh V. , Kumar S. Praveen
Published: July 2022

This study investigates the mechanical and thermal properties of biocomposite in relation to their hybridization. Compression moulding was utilised to produce hybrid biocomposites composed of polyester resin reinforced with kenaf, jute, and three distinct combinations of kenaf/jute fibers. To increase the bonding of kenaf and jute fibers with polyester resin, a 5 percent NaOH solution was administered to them. The following stacking sequences were used to manufacture a total of five different types of laminates: polyester resin 80 wt%/kenaf fiber 20 wt%, polyester resin 80 wt%/jute fiber 20 wt%), polyester resin 80 wt%/kenaf fiber 5 wt%/jute fiber 15 wt%, polyester resin 80 wt%/kenaf fiber 10 wt%/jute fiber 10 wt%, and polyester resin 80 wt%/kenaf fiber 15 wt%/jute fiber 5 wt%. In the mechanical and thermal tests, it was discovered that the polyester resin 80 wt%/jute fiber 20 wt% biocomposites had increased strength compared to the other hybrid biocomposites investigated.
IGBT Fault Prediction Combining Terminal Characteristics and Artificial Intelligence Neural Network
Authors: Li Cailin
Published: July 2022

The insulated gate bipolar transistor (IGBT) is widely utilized in the transportation, power, and energy domains because of its high input impedance and minimal on-voltage drop. IGBTs are frequently used in industrial applications for lengthy periods of time, collecting fatigue damage and eventually aging and failing, which can result in system shutdown and financial losses in severe circumstances. As a result, a study into the IGBT’s reliability is extremely important. Fault prediction technology, which is an important aspect of reliability research, may analyze device state through changes in terminal parameters, anticipate aging trends, and issue early warnings at thresholds to avoid significant safety issues caused by IGBT aging failures. Therefore, the appropriate end parameters are selected as aging characteristic parameters, and fault prediction is performed. Therefore, this paper has carried out research on the IGBT fault prediction technology that integrates the terminal characteristics and artificial intelligence neural network. The main research contents include the following: (1) this paper starts from the basic principle of IGBT and the structure of its device and analyzes its failure mode on the failure of IGBT. The characteristic parameter of collector-emitter turn-off peak voltage value is selected for IGBT fault prediction, and the aging data of NASA PCoE Research Center is used to verify that the characteristic parameter can be used for fault prediction. (2) In view of the shortcomings of traditional fault forecasting methods, this paper proposes to use deep learning time series forecasting methods for fault forecasting. The LSTM is theoretically analyzed, and the prediction network is built. The experimental results show that the LSTM network model can improve the accuracy of IGBT fault prediction, with fewer parameters and higher prediction efficiency.
A Comparative Study of the Fractional-Order Nonlinear System of Physical Models via Analytical Methods
Authors: Yasmin Humaira , Iqbal Naveed
Published: July 2022

This article is related to the fractional-order analysis of one- and two-dimensional nonlinear systems of third-order KdV equations and coupled Burgers equations, applying modified analytical methods. The proposed problems will be solved with the Caputo–Fabrizio fractional derivative operator and the Yang transform. The results we obtained by implementing the suggested methods are compared with the exact solution. The convergence of the method is successfully presented and mathematically proved. To show the effectiveness of the proposed methods, we compared exact and analytical results with the help of graphs and tables, which are in strong agreement with each other. Also, the results obtained by implementing the suggested methods at various fractional orders are compared, confirming that solution gets closer to exact solution as the value tends from fractional order towards integer order. Moreover, the proposed methods are attractive, easy, and highly accurate, which confirms that these methods are suitable methods for solving partial differential equations or systems of partial differential equations.
Coordinated Development of Languages in Multiethnic Inhabited Areas by Big Data Algorithm
Authors: Wang Tianyi
Published: July 2022

The coordinated development of ethnic languages has always been an important task in the construction of ethnic culture. The rapid social and cultural innovation has had a certain impact on the language views of various ethnic groups, and the phenomenon of ethnic languages being endangered has become more and more serious. In order to alleviate this phenomenon, it is urgent to analyze and study the coordinated development of languages in multiethnic areas. However, in view of the current field of language development analysis, the analysis methods used are often traditional field analysis and manual calculation, which not only affects the efficiency of analysis work but also makes it impossible to conduct in-depth research. This paper studies the coordinated development of languages in multiethnic areas in combination with big data algorithms. On the basis of fully understanding the factors affecting language development, the cluster analysis in big data algorithms is used to study the language development of a multiethnic area. The experimental results show that the proportion of bilingual and multilingual people in this area is 27.01% and 20.11% in formal occasions. Combined with the actual investigation, the accuracy of these data is high. The popularization of big data algorithms in the current stage of language coordination development analysis can effectively eliminate interfering factors, make accurate judgments based on the most relevant information and data, and provide certain decisions and suggestions.