bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Intraspinal Nerve Block Anesthesia on Intrapartum Fever and the Neonate
Authors: Wang Lei , Chang Ruijie , Chen Xinyan
Published: May 2022

Objective. To evaluate the impact of intraspinal nerve block anesthesia on intrapartum fever and the neonate. Methods. In this prospective study, between October 2019 and December 2020, 90 eligible primiparous women enrolled in the obstetrics and gynecology department of our hospital for delivery were recruited and assigned via the random number table method at a ratio of 1 : 1 to either an analgesic group given intraspinal nerve block anesthesia for labor or a nonanalgesic group without anesthesia for labor. Outcome measures included intrapartum body temperature, cases of intrapartum fever, Apgar scores of neonates, visual analogue scale (VAS) scores, delivery mode, and indomethacin use. Results. Intraspinal nerve block anesthesia was associated with a higher body temperature at 4 h and 5 h after analgesia and more cases of intrapartum fever versus no anesthesia (

P
<
0.05

). There were no significant differences in the Apgar scores between the two groups (

P
>
0.05

). Participants given intraspinal nerve block anesthesia had lower VAS scores during labor versus those without anesthesia (

P
<
0.05

). The differences in the delivery mode between the two groups were not significant (

P
>
0.05

). Intraspinal nerve block anesthesia resulted in a significantly higher demand for indomethacin versus no anesthesia (

P
<
0.05

). Conclusion. Intraspinal nerve block anesthesia is clinically effective in labor analgesia but may cause increased body temperature or even overt clinical fever, so close clinical observation of maternal temperature changes is required to mitigate the effects of anesthesia on the mothers. No adverse consequences of intraspinal nerve block anesthesia on the newborns were reported in this study.
Ameliorating Effect of Malva neglecta Wallr on Obesity and Diabetes in Wistar Rats: A Mechanistic Study
Authors: Akhtar Muhammad Furqan , Farooq Umar , Saleem Ammara , Saleem Mohammad , Rahman Md Habibur , Ashraf Ghulam Md
Published: May 2022

A high caloric food causes deposition of fats that may progress to obesity. Obesity is a risk factor for various metabolic and cardiovascular diseases, including but limited to diabetes mellitus. This study is aimed at determining the ameliorating effect of Malva Neglecta wallr aqueous‐methanolic extract (MNME) on obesity and diabetes in Wistar rats. The MNME was chemically characterized by high‐performance liquid chromatography (HPLC). The plant extract was evaluated by in vitro α‐amylase inhibition and DPPH scavenging activities. Obesity was induced by administering high sugar and fat diet (HSFD) to rats for six weeks, followed by intraperitoneal injection of alloxan monohydrate (150 mg/kg) to induce diabetes. Oral treatments with MNME 250, 500, and 750 mg/kg/day were given to diabetic obese rats for 14 days. The HPLC analysis showed the presence of phenolic acids and flavonoids. The plant extract showed significant antioxidant (P < 0.001) and alpha‐amylase (P < 0.0001) inhibition activities. The administration of MNME displayed a considerable decrease in fasting blood glucose, body weight, liver function tests, urea, cholesterol, leptin, and insulin levels in diabetic obese rats as compared to the disease control group and maximum effect were observed at 750 mg/kg/day of MNME. The MNME significantly increased (P < 0.05 − 0.001) the levels of GSH, SOD, and CAT in the liver, kidney, and pancreas while notably (P < 0.05 − 0.001) reduced the malondialdehyde level in kidney and pancreas of diabetic obese rats in contrast to disease control rats. This experimental study concludes that the MNME had exhibited antiobesity and antidiabetic activities through reduction of oxidative stress, leptin, α‐amylase activity, and insulin resistance due to the presence of phenolic acid and flavonoid compounds.
Inhibition of Staphylococcus aureus α‐Hemolysin Production Using Nanocurcumin Capped Au@ZnO Nanocomposite
Authors: Jabir Majid S. , Rashid Taha M. , Nayef Uday M. , Albukhaty Salim , AlMalki Faizah A. , Albaqami Jawaher , AlYamani Amal A. , Taqi Zainab J. , Sulaiman Ghassan M.
Published: May 2022

Nanoparticles of gold with zinc oxide (Au@ZnO NPs) were prepared by laser ablation and then capped with curcumin nanoparticles (Cur‐Au@ZnO NPs). The synthesized NPs were characterized using different techniques, including transmission electron microscopy (TEM), Fourier‐transform infrared spectroscopy (FTIR), UV‐visible spectroscopy, and X‐ray diffraction. In addition, the ability of NPs as a promising antibacterial agent was tested against Staphylococcus aureus through the agar well diffusion method and AO/EtBr staining assay. The results showed that the prepared nanoparticles (Cur‐Au@ZnO) served as an antibacterial agent and can destroy the bacterial cells by losing the cell wall integrity and penetrating the cytoplasmic membrane. Moreover, the findings confirmed the role of the formed NPs in attenuation of the adherence and invasion of S. aureus to rat embryonic fibroblast (REF) cells. Furthermore, the activity of Cur‐Au@ZnO NPs against the S. aureus α‐hemolysin toxin was evaluated using the western blot technique, using human alveolar epithelial cells (A549), and through histopathology examination in a mouse model. In conclusion, the built Cur‐Au@ZnO NPs can be used as a potential antibacterial agent and an inhibitor of α‐hemolysin toxin secreted by S. aureus. These NPs may offer a new strategy in combating pathogen infections and in the future for biomedical and pharmaceutical applications.
Abnormal Obesity Phenotype Is Associated with Reduced eGFR among Diabetes Mellitus and Hypertensive Patients in a Peri-Urban Community in Ghana
Authors: Ephraim Richard K. D. , Ahordzor Frederick , Asare Kwame Kumi , Duah Evans , Naveh-Fio Ibrahim W. , Essuman Grace , Afrifa Justice
Published: May 2022

Background. Diabetes mellitus (DM) is a chronic disease characterized by hyperglycemia due to obesity and defects in insulin action. Significant complications of DM include kidney disease due to its association with hypertension and obesity. Thus, the contribution of the various obesity phenotypes to the kidney impairment observed among hypertensive and diabetes mellitus patients is of major concern. Aim. The study assessed the association between obesity phenotypes and reduced glomerular filtration rate among diabetes mellitus and hypertensive patients. Methods. Three hundred and ten (310) adult patients diagnosed with type 2 diabetes mellitus, hypertension, or both who attended the Presbyterian Hospital, Dormaa Ahenkro, from October 2016 to March 2017 were recruited for the study. Blood samples were collected to analyze biochemical parameters (fasting blood glucose (FBG), lipid profile, and creatinine). Questionnaires were used to collect sociodemographic information, and anthropometrics were appropriately measured. The estimated glomerular filtration rate (eGFR) was calculated using the CKD-EPI equation, and reduced eGFR was defined as eGFR <90 ml/min/1.73 m2. Results. The prevalence of metabolically healthy nonobese (MHNO), metabolically healthy obese (MHO), metabolically abnormal nonobese (MANO), and metabolically abnormal obese (MAO) phenotypes among the study participants was 30.65%, 4.50%, 52.90%, and 11.94%, respectively. The highest prevalence of reduced eGFR (29/37 (78.38%)) was seen among the MAO group. This was followed by the MANO, MHO, and MHNO with a reduced eGFR prevalence of 62.20%, 57.64%, and 37.89%, respectively. After normalization with MHNO, the reduced eGFR was 1.51, 1.64, and 2.06 times expressed in MHO, MANO, and MAO. For the total samples, when MHNO was maintained as a reference, reduced eGFR was significantly associated with MANO (aOR = 3.07 (95% CI = 1.76–5.35),

P
<
0.001

) and MAO (aOR = 5.67 (95% CI = 2.66–17.27),

P
<
0.001

) even after adjusting for age, gender, smoking, and alcohol intake. This association was maintained among the female study participants when stratified by gender, and in addition, among the female participants, reduced eGFR was also associated with MHO (aOR = 4.19 (95% CI = 1.06–16.53),

P
=
0.041

). Conclusion. There is a high prevalence of abnormal metabolic phenotypes among diabetes mellitus patients, and these were significantly associated with reduced eGFR among our study participants.
Emerging Biomarkers for Screening and Management of Celiac Disease
Authors: Mir Bilal Ahmad , Majeed Tahir , Singh Alka , Rajput Mahendra Singh , Kumar Asheesh , Chauhan Ashish
Published: May 2022

Celiac disease (CeD) is a chronic, immune‐mediated enteropathy that is precipitated by dietary gluten in genetically predisposed individuals expressing HLA‐DQ2 and/or HLA‐DQ8. In the current clinical practice, there are many serologic studies to aid in the diagnosis of CeD which include autoantibodies like IgA antitissue transglutaminase, antiendomysium, and antideamidated forms of gliadin peptide antibodies. Small intestinal biopsy has long been considered an essential step for the diagnosis of CeD. However, in the recent era, researchers have explored the possibility of CeD screening and diagnosis without endoscopy or biopsy. The newer emerging biomarkers of CeD appear promising in diagnostic evaluation and subsequent monitoring of disease. In this review of literature, we have explored the emerging biomarker‐based diagnostic evaluation and monitoring of CeD.
Peripheral Saturation and Perfusion Index on the First Day of Life Play a Role in Early Discharge of Healthy Term Newborns
Authors: Perrone Serafina , Giordano Maurizio , De Bernardo Giuseppe , Corradi Mara , Cecconi Giulia , Fontanarosa Ilenia , Laschi Elisa , Buonocore Giuseppe , Esposito Susanna
Published: May 2022

Introduction. Pulse oximetry screening is a safe, feasible test, effective in identifying congenital heart diseases in otherwise well-appearing newborns. Uncertainties still persist on the most effective algorithm to be used and the timing of screening. The aim of this study was to evaluate the role of the pulse oximetry screening associated with the peripheral perfusion index performed in the first 24 hours of life for the early detection of congenital heart diseases and noncongenital heart diseases in the newborns. Materials and Methods. A prospective observational cohort study was conducted. The enrollment criteria were as follows: term newborns with an APGAR score >8 at 5 minutes. The exclusion criteria were as follows: clinical signs of prenatal/perinatal asphyxia or known congenital malformations. Four parameters of pulse oximetry screening were utilized: saturation less than 90% (screening 1), saturation of less than 95% in one or both limbs (screening 2), difference of more than 3% between the limbs (screening 3), and preductal peripheral perfusion index or postductal peripheral perfusion index below 0.70 (screening 4). The likelihood ratio, sensibility, specificity, and positive and negative predictive values for identification of congenital heart diseases or noncongenital heart diseases (suspicion of perinatal infection and any respiratory diseases) were evaluated. Results. The best predictive results for minor congenital heart disease were obtained combining screening 3 and screening 4 (χ2 (1) = 15,279;

p
<
0.05

; OR = 57,900 (9,465–354,180)). Screening 2, screening 3, and screening 4 were predictive for noncongenital heart diseases (χ2 (1) = 11,550;

p
<
0.05

; OR = 65,744 (10,413–415,097)). Combined screenings 2–4 were predictive for both congenital heart disease and noncongenital heart disease (χ2 (1) = 22,155;

p
<
0.05

; OR = 117,685 (12,972–1067,648)). Conclusions. Combining peripheral saturation with the peripheral perfusion index in the first 24 hours of life shows a predictive role in the detection of minor congenital heart diseases and neonatal clinical conditions whose care needs attention.
Clinical Efficacy of Chinese and Western Medicine in the Treatment of Benign Thyroid Nodules: A Meta‐Analysis
Authors: Zhu Yu , Huang Ju , Yue Rensong , Shen Tao
Published: May 2022

Background. Studies have shown that Chinese herbal medicine (CHM) effectively improved the response rate and reduced the maximum nodule diameter of benign thyroid nodules (BTN). This study aimed at systematically reviewing all related studies to assess the clinical efficacy of CHM and Western medicine in the treatment of BTN. Methods. PubMed, Web of Science, Embase, China National Knowledge Infrastructure, and Wanfang databases were searched for randomized controlled trials, published between 2000 and 2021, on CHM for treating BTN. The control group comprised patients treated with Western medicine (oral thyroxine tablets or microwave ablation), while the treatment group was treated with CHM combined with Western medicine. Meta‐analysis was performed using the Stata 16.0 software. Results. A total of 264 articles were retrieved, of which 12 were finally selected for analysis after screening. The results showed that combined therapy was associated with a higher response rate (OR = 3.35, 95% CI (2.40, 4.68), P < 0.05). After treatment, the maximum nodule diameter (SMD = −0.76, 95%, CI (−0.98, −0.53), P < 0.05) and thyroid volume (SMD = −1.14, 95%, CI (−1.94, −0.35), P < 0.05) of the treatment group were smaller than those of the control group. Furthermore, the combined treatment was associated with lower levels of free triiodothyronine (FT3), free thyroxine (FT4), and thyroid‐stimulating hormone (TSH) in the serum of patients and lower traditional Chinese medicine (TCM) syndrome score (SMD = −1.87, 95%, CI (−3.16, −0.58), P < 0.05). Conclusion. CHM combined with thyroid hormone/microwave improved the response rate of BTN. The combined treatment was also associated with reducing the maximum nodule diameter, thyroid volume, levels of FT3, FT4, and TSH, and TCM syndrome score. Therefore, combining CHM with WM could be considered as an alternative and effective treatment for treating BTN, suggesting promising integration of Chinese medicine with Western medicine.
An Efficient Resource Management Optimization Scheme for Internet of Vehicles in Edge Computing Environment
Authors: Zhu Anqing , Wen Youyun
Published: May 2022

The contradiction between limited network resources and a large number of user demands in vehicle environment will cause a lot of system delay and energy consumption. To solve the problem, this paper proposes an efficient resource management optimization scheme for Internet of Vehicles in edge computing environment. Firstly, we give a detailed formulation description of communication and computing cost incurred in the resource optimization process. Then, the optimization objective of this paper is clarified by considering the constraints of computing resources, and system delay and energy consumption are considered comprehensively. Secondly, considering dynamic, random, and time-varying characteristics of vehicle network, the optimal resource management scheme of Internet of Vehicles is given by using distributed reinforcement learning algorithm to optimize total system overhead to the greatest extent. Finally, experiments show that when bandwidth = 40 MHz, the total system cost of the proposed algorithm is only 3.502, while that of comparison algorithms is 4.732 and 4.251, respectively. It is proved that the proposed method can effectively reduce the total system overhead.
Effect of Superabsorbent Polymer (SAP) Internal Curing Agent on Carbonation Resistance and Hydration Performance of Cement Concrete
Authors: Xu Jieting , Qin Xiao , Huang Zhenying , Lin Yongkang , Li Ben , Xie Zhengzhuan
Published: May 2022

To clarify the influencing mechanism of superabsorbent polymer (SAP) internal curing agent on the carbonation resistance of cement concrete, accelerated carbonation experiment was conducted to explore the effect of particle size and dosage of SAP on carbonation depth. The hydration performance of internally cured concrete at different ages was studied by Fourier transform infrared spectroscopy (FTIR) test and X-ray diffraction (XRD) test. Combined with the scanning electron microscope (SEM) test, the hydration filling effect of internal curing on the microstructure of concrete was analyzed; meanwhile, the influence mechanism of SAP on carbonation resistance was revealed. The results showed that (i) when the particle size and dosage of SAP were 100 mesh and 0.200%, the carbonation depth of internally cured concrete was only 56.5% of the control group on day 28; (ii) the Ca(OH)2 absorption peak area of SAP-concrete in the FTIR spectra could be increased by 3.38 times than that of the control group, and more C2S and C3S were translated into Ca(OH)2, which helped to improve the hydration degree of cement concrete; (iii) the hydration products of day 56 were increased significantly and the remaining pores formed by SAP gels were gradually filled by hydration products, which enhanced the compactness and carbonation resistance of cement concrete.
Assouad and Lower Dimensions of Some Homogeneous Cantor Sets
Authors: JiaQing Xiao
Published: May 2022

We compute the Assouad dimensions and the lower dimensions of a class of homogeneous Cantor sets without the condition that the smallest compression ratio C⋆ > 0 and find that the lower dimension of a homogeneous Cantor set E may be any a number in the interval [0, dimHE] and the Assouad dimension of E may be any a number in the interval .
The Path of Digital Government and University Asset Intelligence Value-Added Service Driven by Block Chain Technology
Authors: Feng Qian , Mohd Ramli `Razlini , Liu Youwu
Published: May 2022

At present, the government and universities mainly adopted the centralized management mode in the sharing of asset digital resources, which not only had low work efficiency, but also cannot make full use of resources. Block chain technology played an important role in enterprise asset data resource data sharing, but there was less research on asset data sharing services applied to digital government and universities. Therefore, this paper proposed the research on the path of government and university asset value-added service driven by block chain technology, in order to provide reference for improving the utilization rate of state-owned assets and better meeting the needs of users. Based on the research on the problems existing in the digital resource management of relevant government agencies and university departments at home and abroad, combined with the application advantages of block chain technology in relevant fields, this paper analyzed the composition of block chain and the application technical characteristics of value-added services. Starting from the current situation of asset data information management by the government and universities and the needs of users for resources, this paper expounded the important impact of block chain technology on digital government and university asset information management. By analyzing the elements of block chain value-added service, this paper put forward the block chain-driven asset intelligent value-added service mode. In order to track and manage users’ transaction information and meet users’ demand for resources, the application path of asset intelligent value-added service driven by block chain technology was constructed based on the asset value-added service mode, and combined with the characteristics of users’ request for resources, the implementation method of asset intelligent value-added service path was proposed. The experimental results showed that the method proposed in this paper had more advantages than the existing data sharing service system, and can effectively provide technical support for asset value-added services.
Long Jump Action Recognition Based on Deep Convolutional Neural Network
Authors: Wang Zhiteng
Published: May 2022

Long jump is a test item of national student physical health monitoring, which can reflect the quality of students’ lower limb strength. Long jump is a highly technical activity, which includes four basic movements: running aid, jumping, vacating, and landing. Many students have problems with the technical aspects, resulting in test scores that do not objectively reflect the true physical condition of the students, which affects the accuracy of the test results. From the perspective of rapid diagnostic feedback of students’ long jump movements, we design and develop a long jump movement recognition method based on deep convolutional neural network. In this paper, we firstly summarize the traditional visual action recognition algorithm, then apply 3D convolution to extract the spatiotemporal features of long jump action from three directions of the video block, and fuse the spatiotemporal features of the three directions in different ways to achieve feature complementation; finally, using the multimodality of long jump action data, we use 3D convolutional neural network to train the RGB images and then train the depth. This joint training method can accelerate the convergence speed and improve the accuracy of the network on both depth and edge images. The experiments compared the recognition effects of the tandem fusion of features, the maximum fusion, and the multiplicative fusion in the scoring layer, and the highest accuracy of 82.3% was achieved by the tandem fusion of features with the fusion of three modalities.
Statistical Analysis for Competing Risks’ Model with Two Dependent Failure Modes from Marshall–Olkin Bivariate Gompertz Distribution
Authors: Wu Min , Zhang Fode , Shi Yimin , Wang Yan
Published: May 2022

The bivariate or multivariate distribution can be used to account for the dependence structure between different failure modes. This paper considers two dependent competing failure modes from Gompertz distribution, and the dependence structure of these two failure modes is handled by the Marshall–Olkin bivariate distribution. We obtain the maximum likelihood estimates (MLEs) based on classical likelihood theory and the associated bootstrap confidence intervals (CIs). The posterior density function based on the conjugate prior and noninformative (Jeffreys and Reference) priors are studied; we obtain the Bayesian estimates in explicit forms and construct the associated highest posterior density (HPD) CIs. The performance of the proposed methods is assessed by numerical illustration.
UHPLC‐Q‐TOF‐MS/MS and Network Pharmacology Analysis to Reveal Quality Markers of Xinjiang Cydonia oblonga Mill. for Antiatherosclerosis
Authors: Simayi Jimilihan , Abulizi Abulaiti , Nuermaimaiti Maimaitiming , Khan Nawaz , Hailati Sendaer , Han Mengyuan , Talihati Ziruo , Abudurousuli Kayisaier , Maihemuti Nulibiya , Nuer Muhadaisi , Zhou Wenting , Wumaier Ainiwaer
Published: May 2022

Cydonia oblonga Mill. (COM), mature fruit of genus Rosaceae, is consumed as a kind of traditional Chinese medicinal herb. Previous studies have shown that the components in COM extract have antioxidant, anti‐inflammatory, blood pressure‐lowering, blood lipid‐lowering, antithrombotic, and other biological activities. However, the quality markers (Q‐markers) of atherosclerosis (AS) have not been elucidated. The Q‐marker is based on the five core principles of traceability, transferability, specificity, measurability, validity, and prescription dispensing. In this study, the quality markers of quince were investigated by applying the ultraperformance liquid chromatography‐time‐of‐flight mass spectrometry (UHPLC/Q‐TOF‐MS/MS) method and network pharmacology method to highlight the three core elements which are, respectively, traceability transmission, measurability, and validity. At the first step, 72 components were identified by applying the ultraperformance liquid chromatography‐time‐of‐flight mass spectrometry (UHPLC/Q‐TOF‐MS/MS) method. In the next step, 46 candidate components of COM anti‐AS were obtained by network pharmacology, and then, 27 active components were filtered with the molecular docking assay. Finally, the 27 active components were intersected with 10 active components obtained by mass transfer and traceable quality markers. Four anti‐AS Q‐markers of COM were identified, including caffeic acid, chlorogenic acid, ellagic acid, and vanillic acid, which provided a reference for the quality control of quince. The methods and strategies can also be applied to other traditional Chinese medicines and their compound preparations, providing new ideas on the quantitative evaluation and identification of quality markers.
Integration of Artificial Intelligence and Blockchain Technology in Healthcare and Agriculture
Authors: Vyas Sonali , Shabaz Mohammad , Pandit Prajjawal , Parvathy L. Rama , Ofori Isaac
Published: May 2022

Over the last decade, the healthcare sector has accelerated its digitization and electronic health records (EHRs). As information technology progresses, the notion of intelligent health also gathers popularity. By combining technologies such as the internet of things (IoT) and artificial intelligence (AI), innovative healthcare modifies and enhances traditional medical systems in terms of efficiency, service, and personalization. On the other side, intelligent healthcare systems are incredibly vulnerable to data breaches and other malicious assaults. Recently, blockchain technology has emerged as a potentially transformative option for enhancing data management, access control, and integrity inside healthcare systems. Integrating these advanced approaches in agriculture is critical for managing food supply chains, drug supply chains, quality maintenance, and intelligent prediction. This study reviews the literature, formulates a research topic, and analyzes the applicability of blockchain to the agriculture/food industry and healthcare, with a particular emphasis on AI and IoT. This article summarizes research on the newest blockchain solutions paired with AI technologies for strengthening and inventing new technological standards for the healthcare ecosystems and food industry.
Bunch of Grape-Like Shape PANI/Ag2O/Ag Nanocomposite Photocatalyst for Hydrogen Generation from Wastewater
Authors: Hadia N. M. A. , Hajjiah Ali , Elsayed Asmaa M. , Mohamed S. H. , Alruqi Mansoor , Shaban Mohamed , Alzahrani Fatimah Mohammed , Abdelazeez Ahmed Adel A. , Rabia Mohamed
Published: May 2022

Polyaniline (PANI) and PANI/Ag2O/Ag composites I and II were prepared under different AgNO3 oxidant concentrations using the oxidative photopolymerization method. The chemical structure and optical, electrical, and morphological properties were determined for the prepared nanocomposite. The PANI/Ag2O/Ag composite II has the optimum optical properties, in which the bandgaps of PANI, composite I, and composite II are 3.02, 1.71, and 1.68 eV, respectively, with the morphology of a bunch of grape-like shapes with average particles sizes of 25 nm. Under the optimum optical properties, glass/PANI/Ag2O/Ag composite II electrode is used for hydrogen generation from sewage water. The measurements are carried out from a three-electrode cell under a xenon lamp. The effects of light wavelengths and temperature on the produced current density ([Formula: see text]) are mentioned. Under the applied voltage (at 30°C), the current density values ([Formula: see text]) increase from 0.003 to 0.012 mA.cm-2 in dark and light, respectively. While increasing the temperature, [Formula: see text] values increase to 0.032 mAcm-2 at 60°C. The thermodynamic parameters are calculated, in which the activation energy ([Formula: see text]), enthalpy ([Formula: see text]), and entropy ([Formula: see text]) values are 27.1 kJ·mol-1, 24.5 J mol-1, and 140.5 J K-1 mol-1, respectively. Finally, a simple mechanism for the produced hydrogen generation rate is mentioned. The prepared electrode is a very cheap (1$ for [Formula: see text]) electrode.
Compatibility of Environmentally Friendly Insulating Gases CF3I and c-C4F8 with Cu Contacts
Authors: Ding Can , Gao Zhenjiang , Hu Xing , Yuan Zhao
Published: May 2022

The gas-solid compatibility between environmentally friendly insulating gas and copper contacts is worth studying. In this paper, based on density functional theory, the adsorption calculation of CF3I, c-C4F8, five typical decomposition gases, and Cu (1 1 1) surface was carried out. The adsorption energies, transferred charges, charge densities, and densities of states were calculated for different adsorption configurations. Research indicates that there is no obvious charge transfer between the I atom and the Cu atom in the four adsorption sites of Cu (1 1 1) for the CF3I molecule. There is a charge transfer between the F atoms and the Cu top surface. The electrons lost by Cu are transferred to F atoms. In the configurations of different adsorption positions on CF3I and Cu (1 1 1) planes, the top and bridge adsorption energies are −0.835 eV and −0.993 eV, respectively, which are chemical adsorption. Therefore, CF3I is most likely to form adsorption at the top or bridge site of the Cu (1 1 1) surface. The adsorption energy of c-C4F8 gas on Cu (1 1 1) surface is similar to that of CF3I at fcc and hcp sites. The absolute values are all less than 0.8 eV, and the van der Waals force is the main force. The adsorption energies of C2F4 and C3F6 in the five decomposed gases are −1.315 eV and −1.204 eV, respectively. The charge transfer is −0.32 eV and −0.45 eV, respectively. Their values are larger than those of the other gases studied, which belong to chemical adsorption. The smaller values of the remaining three gases belong to physical adsorption. All molecular structures and Cu (1 1 1) planes were not significantly deformed. From a microscopic point of view, the gas can better exist on the copper surface.
Experimental Study on the Influence of a Cementitious Permeable Crystallization Admixture (CPCA) in Improving Concrete Durability
Authors: Yang Yu-chuan , Li Hai-bo , Yang Xing-guo , Chen Shi-quan , Zhou Jia-wen
Published: May 2022

The corrosion of steel reinforcement in reinforced concrete is a serious problem affecting the durability of concrete structures. And the steel corrosion caused by chloride ion erosion is the most serious damage to reinforced concrete structures, which affects the safety and service life of the structure. In order to prevent steel corrosion caused by chloride, it is necessary to pay more attention to chloride ion penetration damage. At present, the most commonly used method is to use additives in concrete structures, so as to improve the durability of concrete by reducing its permeability coefficient. Cement‐based permeable crystalline admixtures can effectively improve the impermeability and mechanical properties of concrete by complex crystallization reactions between reactive chemicals and cement gels. In the paper, the Penetron admix 803 was selected as a typical CPCA in the experimental study, and the rapid chloride migration (RCM) experiments and mechanics experiments were carried out for four concrete structures with different dosages of Penetron admix 803 (PA8). Compared with plain concrete, the concrete structure containing PA8 makes it difficult for water and other liquids to enter by filling micropores and shrinkage cracks by scanning electron microscope test, so its impermeability is greatly improved. And concrete structure containing permeable crystalline admixture can reduce chloride ion permeability effectively. The experimental results showed that with the increase of PA8 content, the diffusion coefficient of the concrete structure decreased rapidly from 45.8 × 10−12 m2/s to 17.7 × 10−12 m2/s, while the service life of concrete structures increased continuously. And the mechanism of the chemical reaction between PA8 and the internal components of concrete structure was revealed, which was mainly due to the catalytic reaction between the reactive chemicals of PA8 and the cement hydrates of concrete structure forming insoluble crystals filled with concrete micropores. Experimental and theoretical results indicate that the permeable crystalline admixture can greatly improve the chloride‐related durability and mechanical properties of the concrete structure.
Exploring the Fuzzy Integrated Assessment of College Students’ Education for Innovative Entrepreneurship under the Background of Internet+
Authors: Luo Maya , Zhao Liang , Lyu Bei
Published: May 2022

Entrepreneurial role models are the forerunners on the path to entrepreneurship for college students, and they play a significant role in influencing college students’ entrepreneurship decisions. Entrepreneurship education in schools is an important tool for college students to develop entrepreneurial knowledge, ingenuity, and abilities. The main approach of building fuzzy systems is fuzzy integrated assessment, and it has a broad range of applications, including expert evaluation systems, quality control, performance assessment, weather forecasting, medical diagnosis, economic management, and psychological measurement. This research designs a fuzzy integrated evaluation system of university students’ entrepreneurial education using the environment, teaching process, and instructors’ team as the first-level indicators on the premise of defining the connotation of inventive and entrepreneurial skills. The article also uses the fuzzy integrated assessment method to conduct an empirical study and proposes countermeasures for the quality of innovative and entrepreneurial talents cultivation in terms of creating a good innovation environment in universities and encouraging students to actively participate in various innovative and entrepreneurial activities. The experimental results show that the half confidence of the fuzzy integrated assessment algorithm is 0.657, the retest confidence is 0.991, and the standard deviation of the

α

coefficient among all the test subjects is 0.683, which indicates that it has good confidence. Therefore, the fuzzy integrated assessment method of college students’ entrepreneurial education in this study is a combination of quantitative and qualitative methods, which expresses and processes the subjective judgment of human in quantitative form, minimizes the drawbacks brought by personal subjective judgment, and makes the evaluation results more credible.
Dual of Modulation Spaces with Variable Smoothness and Integrability
Authors: Zhu Hua
Published: May 2022

In this article, we first give a proof for the denseness of the Schwartz class in the modulation spaces with variable smoothness and integrability. Then, we study the dual spaces of such modulation spaces.
Ethnopharmacology, Biological Evaluation, and Chemical Composition of Ziziphus spina-christi (L.) Desf.: A Review
Authors: Abdulrahman Mahmoud Dogara , Zakariya Ali Muhammad , Hama Harmand A. , Hamad Saber W. , Al-Rawi Sawsan S. , Bradosty Sarwan W. , Ibrahim Ahmad H.
Published: May 2022

Medicinal plants are the primary raw materials used in the production of medicinal products all over the world. As a result, more study on plants with therapeutic potential is required. The tropical tree Ziziphus spina belongs to the Rhamnaceae family. Biological reports and traditional applications including management of diabetes and treatment of malaria, digestive issues, typhoid, liver complaints, weakness, skin infections, urinary disorders, obesity, diarrhoea, and sleeplessness have all been treated with different parts of Z. spina all over the globe. The plant is identified as a rich source of diverse chemical compounds. This study is a comprehensive yet detailed review of Z. spina based on major findings from around the world regarding ethnopharmacology, biological evaluation, and chemical composition. Scopus, Web of Science, BioMed Central, ScienceDirect, PubMed, Springer Link, and Google Scholar were searched to find published articles. From the 186 research articles reviewed, we revealed the leaf extract to be significant against free radicals, microbes, parasites, inflammation-related cases, obesity, and cancer. Chemically, polyphenols/flavonoids were the most reported compounds with a composition of 66 compounds out of the total 193 compounds reported from different parts of the plant. However, the safety and efficacy of Z. spina have not been wholly assessed in humans, and further well-designed clinical trials are needed to corroborate preclinical findings. The mechanism of action of the leaf extract should be examined. The standard dose and safety of the leaf should be established.
The Relative Contribution of Psychological Flow and Resilience in Anticipating the Cognitive Failure of Elementary School Students
Authors: Abdel-Aal Ibrahim Khaled Ahmed
Published: May 2022

The present study aims to determine the relative contribution of psychological flow and resilience in anticipating the cognitive failure among elementary school students. The sample consisted of (114) male and female students aged between 13 and 15 years. The descriptive method was adopted. The study employed and designed the following tools: the psychological flow scale, the psychological resilience scale, and the cognitive failure scale. The psychometric properties of these tools were checked. The results showed that the level of psychological flow among the participants is high, the level of psychological resilience among the sample is high, and the level of cognitive failure among the participants is low. The results also concluded that the psychological flow is suitable for predicting cognitive failure, as the regression coefficient was −7.436, which is a statistically significant value at the level 0.001; and the psychological resilience can be used in predicting cognitive failure, as the regression coefficient was −5.824, and it is a statistically significant value at the level 0.001. The study has a number of recommendations: designing training programs to develop the psychological flow of learners at all learning stages, holding seminars and workshops aimed at educating learners about the importance of psychological resilience for their enjoyment of normal mental health, and raising the awareness among the officials at the Ministry of Education about the need to train students on cognitive strategies that help reduce the level of cognitive failure.
Prediction of the Development Trend of the “Internet +” Logistics Industry under the “Belt and Road” Strategy
Authors: Wen Chunhui , Yang Jinhai , Zhang Zhuowu , Guo Qianqian , Xu Haitao
Published: May 2022

In order to accurately predict the development trend of the “Internet +” logistics industry in the context of the new period and to understand the circulation of the Internet and logistics between countries and the development dynamics of the economy, this paper will take the “Belt and Road” initiative as the research background and elaborate the specific development mode of the “Internet +” logistics industry and the corresponding strategies. Meanwhile, the development trend is evaluated based on its development data using the method of combined forecasting. The results show that the combined prediction results fluctuate within the range of 1, indicating a high degree of prediction accuracy. This is important for predicting the trend of development forces and adjusting the strategic approach and development direction.
Neural Network‐Based Output Feedback Fault Tolerant Tracking Control for Nonlinear Systems with Unknown Control Directions
Authors: Yan Kun , Chen Chaobo , Xu Xiaofeng , Wu Qingxian
Published: May 2022

In this study, an adaptive output feedback fault tolerant control (FTC) scheme is proposed for a class of multi‐input and multioutput (MIMO) nonlinear systems with multiple constraints. The neural network (NN) is adopted to handle the unknown nonlinearity by means of its superior approximation capability. Based on it, the state observer is designed to estimate the unmeasured states, and the nonlinear disturbance observer is constructed to tackle the external disturbances. In addition, the Nussbaum function is utilized to cope with the actuator faults, which are coupled with the unknown control directions. Combining with the Lyapunov theory, a NN‐based output feedback FTC law is developed for the MIMO nonlinear systems, and the boundedness of all closed‐loop system error signals is proved. Simulation results on the unmanned helicopter are performed to demonstrate the effectiveness of the proposed controller.
Existence of Unique Solution of Urysohn and Fredholm Integral Equations in Complex Double Controlled Metric Type Spaces
Authors: Ahmad Sahibzada Waseem , Sarwar Muhammad , Rahmat Gul , Jarad Fahd
Published: May 2022

Complex Urysohn integral equations and complex Fredholm integral equation of the second kind have intensified the attention of appreciable researchers to their solution due to their comprehensive applications. This study is devoted to the existence and uniqueness of solution to these integral equations in the setting of complete complex double controlled metric spaces via fixed point theory. For this motive, a fixed point result together with a numerical example for the convergence behavior of operator to the fixed point is analyzed in the context of the quoted metric spaces.
Impact of Rehabilitation on Gait Kinematic following Grade II Anterior Cruciate Ligament Injury among Wrestlers
Authors: Bari Mohd Arshad , Alghazal Hussein Ali Hassan , Nuhmani Shibili , Alghadir Ahmad H. , Tafseer Mohd Bilal , Iqbal Amir
Published: May 2022

Background. Anterior cruciate ligament (ACL) injuries are among the most common injuries in wrestling. Even though there are several studies available in the literature about the changes in gait kinematics following ACL injury and ACL reconstruction surgery, none of these studies investigated the changes in gait kinematics following nonoperative rehabilitation protocol. So, this study is aimed at investigating the changes in gait kinematic following a supervised ACL rehabilitation protocol among wrestlers following a grade II ACL injury. Methods. Fifteen male professional wrestlers with recent grade II ACL injury with mean age: 19.93 ± 2.01 years, weight: 72.33 ± 7.46 kg, and height: 173 ± 4.95 cm volunteered for this single‐arm pretest‐posttest study. Kinematic parameters during walking pre‐ and postrehabilitation were examined by two‐dimensional (2D) video graphic analysis. Paired sample t‐test and Cohen’s d were used to determine significant differences and effect size of segmental angle, cadence, step length, stride length, etc. Results. Injured wrestlers after the rehabilitation program walked significantly faster and had a 10.13% higher cadence, a 10.89% faster gait velocity, a 05% greater step length, and a 4.69% longer stride length, compared with a prerehabilitation program of injured wrestlers. Furthermore, joint angles at the hip, knee, and ankle were significantly different between pre‐ and postrehabilitation. Conclusion. Research findings suggest that rehabilitation programs significantly impact the gait pattern of injured wrestlers. A 19‐week supervised rehabilitation protocol can increase gait velocity and related parameters in ACL injured wrestlers.
Emodin Ameliorates Intestinal Dysfunction by Maintaining Intestinal Barrier Integrity and Modulating the Microbiota in Septic Mice
Authors: Zhang Mina , Lian Bo , Zhang Rui , Guo Yuhong , Zhao Jingxia , He Shasha , Bai Yunjing , Wang Ning , Lin Yan , Wang Xuerui , Liu Qingquan , Xu Xiaolong
Published: May 2022

Sepsis-induced inflammatory response leads to intestinal damage and secondary bacterial translocation, causing systemic infections and eventually death. Emodin is a natural anthraquinone derivative in many plants with promising bioactivities. However, the effects and mechanisms of emodin on sepsis-induced intestinal dysfunctions have not been well clarified yet. We found that emodin treatment suppressed the inflammatory response in the intestines of septic mice. Intestinal barrier function was also improved by emodin through enhancing ZO-1 and occludin expression, which prevented the secondary translocation of Escherichia coli. By proteome microarray investigation, JNK2 was identified as a direct target of emodin. In vitro study also showed that emodin inhibited LPS-induced inflammatory response in intestinal epithelial cells. Nuclear factors including NF-κB and AP-1 were further identified as downstream effectors of JNK2. Bioinformatic analysis based on 16s rRNA gene sequencing illustrated that emodin treatment significantly increased the alpha- and beta-diversity of gut microbiota in septic mice. Moreover, data according to functional prediction showed that emodin decreased the abundance of potential pathogenic bacteria in gut. Our findings have shown that emodin treatment prevented inflammatory induced barrier dysfunction and decreased the potential pathogenicity of lumen bacteria, reducing the hazard of lumen bacterial translocation during sepsis.
Study on the Integration of Computer-Assisted Teaching Methods for Teaching Volleyball in College Physical Education
Authors: Zhang Jinfeng
Published: May 2022

Computer-aided network (CAI) teaching method is to establish a volleyball teaching forum on campus network, upload graphic materials related to volleyball teaching, combine inside and outside classes, and combine teaching with self-study. This article studies the volleyball teaching of physical education in colleges and universities by comprehensively using the computer-aided teaching method, and discusses its role in improving the teaching quality, interest, and self-study ability, to improve the teaching effect. The results show that the computer network teaching method is an effective supplement to the teaching mode of students’ autonomous learning and cooperative learning. It is an effective way to fully mobilize students’ subjective initiative and improve the effect of volleyball teaching. At the same time, it is considered that the key to popularize and develop this teaching method is to improve the computer operation standards of physical education teachers.
Accuracy Evaluation of Collapsed Cone Convolution Superposition Algorithms for the Nasopharynx Interface in the Early Stage of Nasopharyngeal Carcinoma
Authors: Lai Yuan-Chun , Hung Li-Chung , Jeng Chien-Chung , Feng Chen-Ju , Chang Tung-Hao , Hsu Shih-Ming
Published: May 2022

This study combined the use of radiation dosimeteric measurements and a custom‐made anthropomorphic phantom in order to evaluate the accuracy of therapeutic dose calculations at the nasopharyngeal air‐tissue interface. The doses at the nasopharyngeal air‐tissue interface obtained utilizing the Pinnacle and TomoTherapy TPS, which are based on collapsed cone convolution superposition (CCCS) algorithms, were evaluated and measured under single 10 × 10 cm2, 2 × 2 cm2, two parallel opposed 2 × 2 cm2 and clinical fields for early stage of nasopharyngeal carcinoma by using EBT3, GR‐200F, and TLD 100. At the air‐tissue interface under a 10 × 10 cm2 field, the TPS dose calculation values were in good agreement with the dosimeter measurement with all differences within 3.5%. When measured the single field 2 × 2 cm2, the differences between the average dose were measured at the distal interface for EBT3, GR‐200F, and TLD‐100 and the calculation values were ‐15.8%, ‐16.4%, and ‐4.9%, respectively. When using the clinical techniques such as IMRT, VMAT, and tomotherapy, the measurement results at the interface for all three techniques did not imply under dose. Small‐field sizes will lead to dose overestimation at the nasopharyngeal air‐tissue interface due to electronic disequilibrium when using CCCS algorithms. However, under clinical applications of multiangle irradiation, the dose errors caused by this effect were not significant.