bluuebunny/crossref_metadata_2025 huggingface dataset:
ON ANALYSIS OF FRACTIONAL ORDER MATHEMATICAL MODEL OF HEPATITIS B USING ATANGANA–BALEANU CAPUTO (ABC) DERIVATIVE
Authors: DIN ANWARUD , LI YONGJIN , KHAN FAIZ MUHAMMAD , KHAN ZIA ULLAH , LIU PEIJIANG
Published: September 2021

The scaling exponent of a hierarchy of cities used to be regarded as a fractional. This paper investigates a newly constructed system of equation for Hepatitis B disease in sense of Atanganaa–Baleanu Caputo (ABC) fractional order derivative. The proposed approach has five distinctive quantities, namely, susceptible, acute infections, chronic infection, immunized and vaccinated populace. By applying some well-known results of fixed point theory, we find the Ulam–Hyers type stability and qualitative analysis of the candidate solution. The deterministic stability for the proposed system is also computed. We apply well-known transform due to Laplace and decomposition techniques (LADM) and Adomian polynomial for nonlinear terms for computing the series solution for the proposed model. Graphical results show that LADM is an efficient and robust method for solving nonlinear problems.
INVESTIGATION OF THE EFFECTS OF DIFFERENT RETROGRESSION AND RE-AGING PARAMETERS APPLIED TO THE 7075 ALLOY ON THE MICRO-ARC OXIDATION PROCESS
Authors: YILMAZ MUSTAFA SAFA , ÖZER GÖKHAN , ŞAHIN ORHAN , KARAASLAN AHMET
Published: September 2021

In this paper, retrogression and re-aging (RRA) heat treatment was applied to 7075 aluminum alloy in T6 condition at different times (30 and 90[Formula: see text]min) and temperatures (180∘C and 240∘C). While RRA heat treatments increase the corrosion resistance of the material, it does not harm its mechanical properties. On the other hand, the surface resistance of aluminum is low. Surface modifications are applied to overcome this deficiency. Among these, the micro-arc oxidation (MAO) method increases the corrosion resistance and attains excellent values in surface hardness. To better understand the RRA/MAO relationship, heat-treated (RRA) samples with four different parameters were coated with the MAO method. In this way, a ceramic oxide coating layer was created on the material surfaces. In order to determine the RRA parameter effect, the MAO process parameters are kept constant (anode voltage ([Formula: see text]): 500[Formula: see text]V, cathode voltage ([Formula: see text]): 300[Formula: see text]V, anode voltage open time ([Formula: see text]: 300[Formula: see text][Formula: see text]s, cathode voltage open time ([Formula: see text]): 200[Formula: see text][Formula: see text]s, frequency: 160 coating with Hz, and process time: 20[Formula: see text]min). Surface properties (coating thickness, surface roughness, surface arc duct’s structure, etc.), phase analysis (X-ray diffraction (XRD)) and microstructures (coating cross-section studies: distance-dependent hardness, coating/backing material interface character, coating porosity ratio) were examined. XRD analysis showed that the main phase of the coatings is [Formula: see text]-Al2O3. A coating layer of around 125[Formula: see text][Formula: see text]m was achieved with the growth rate of 6[Formula: see text][Formula: see text]m/min. Surface roughness was between 5.5[Formula: see text][Formula: see text]m and 8[Formula: see text][Formula: see text]m for different RRA parameters. RRA/MAO relation with the characterization made was detailed, and predictions were made for the surface properties of the material (hardness, corrosion resistance, wear, etc.).
Cubic–quartic optical soliton perturbation and conservation laws with Lakshmanan–Porsezian–Daniel model: Undetermined coefficients
Authors: Vega-Guzman Jose , Biswas Anjan , Kara Abdul Hamid , Mahmood M. F. , Ekici Mehmet , Alshehri Hashim M. , Belic Milivoj R.
Published: September 2021

This work recovers cubic–quartic soliton solutions to the Lakshmanan–Porsezian–Daniel model by the method of undetermined coefficients. Both polarization-preserving fibers and birefringent fibers are studied. The conservation laws for polarization-preserving fibers are also retrieved and enumerated. The existence criteria for the displayed solitons are also presented.
Contact Residue for Simultaneous Removal of Vehicle’s Frequency and Surface Roughness in Scanning Bridge Frequencies Using Two Connected Vehicles
Authors: Yang Y. B. , Mo X. Q. , Shi K. , Wang Z. L. , Xu H. , Wu Y. T.
Published: September 2021

Two factors are critical to the effectiveness of the vehicle scanning method for bridge frequencies. One is the frequency of the test vehicle itself. This can be eliminated by using the vehicle–bridge contact point response calculated from the vehicle response. The other is the surface roughness of the bridge, which can be removed by using the residual response of two connected vehicles. In this paper, it is demonstrated for the first time that both vehicle’s frequency and surface roughness can be simultaneously eliminated using the contact residue of two connected vehicles. Theoretically, a formulation is presented for both the contact response and residues. In the numerical study, the contact response is demonstrated to outperform the vehicle response as more bridge frequencies can be identified, while the contact residue is verified to work well for various surface roughnesses, vehicle spacings, and bridge damping ratios. For damped bridges with rough surfaces, the contact residue enables us to extract the first three bridge frequencies.
Fabrication of Superhydrophobic Aluminum Surfaces Using Modified Nanoparticles and Ionizable Surfactants
Authors: Abedi Ravan Bahram , Cheraghi Akbar
Published: September 2021

In this study, plates of aluminum are made superhydrophobic via wet etching followed by deposition of nanostructure and microstructure. Etched surfaces are coated with modified nanoalumina using an ionizable surfactant. Key parameters governing the hydrophobicity such as type of the etching solvent, type of the surfactant, etching time, nanoparticle size distribution, surfactant concentration and annealing temperature are investigated. Infrared spectroscopy (IR), dynamic light scattering (DLS), scanning electron microscopy (SEM) and water contact angle (WCA) measurements are used to characterize the treated surfaces. A WCA greater than 150∘ is obtained and in order to estimate the efficiency and mechanical durability of the coatings the samples are tested in emulated sea-water. Water jet tests prove the mechanical stability of the samples. Our fabrication method results in good hydrophobicity and self-cleaning behavior of the Al surface and the obtained results may be useful for industrial applications.
Substance and Form Adoption of International Financial Reporting Standards and Financial Statement Comparability: Evidence from South Africa
Authors: Smith Christelle , Venter Elmar R. , Stiglingh Madeleine
Published: September 2021

We investigate whether the comparability of financial statements changes after a switch from International Financial Reporting Standards (IFRS) in substance (i.e., content of IFRS) to IFRS in both substance and form (i.e., IFRS as issued by the IASB). While the substance of the accounting standards remains the same, form is added to the adoption in that it is now formally referred to as “IFRS as issued by the IASB.” We use data from South Africa, a country whose local generally accepted accounting practices (GAAP) was the same, word-for-word, as IFRS prior to the adoption of IFRS as issued by the IASB in 2005. We compare South African firms with firms in other countries, divided into two groups: mandatory IFRS adopters and non-adopters. We find evidence of increased comparability of financial statements of South African firms with both adopters and non-adopters. Furthermore, we find a global increase in the comparability of firms’ financial statements, consistent with market changes unrelated to IFRS adoption. However, an incremental increase in the comparability of financial statements of South African firms with the adoption of IFRS relative to non-adopting firms is consistent with benefits from South Africa’s addition of form to its existing in-substance adoption of IFRS. This increased comparability is also consistent with the benefits observed in the accounting amounts of firms from other adopting countries becoming more comparable with those of South African firms.
Coupling Dynamic Behavior of Space Flexible Hollow Beam
Authors: Song Mingzhe , Deng Zichen , Hu Weipeng
Published: September 2021

The coupling between the plane motion and transverse vibration is a challenge for the dynamic analysis of space structures. The coupling dynamic behavior of the on-orbit space flexible hollow beam is studied in this paper. As a common configuration of spacecraft and their components, the space structure with a large slenderness ratio and hollow structure is considered. With weak damping and variable structural parameters, the dynamic model is derived for the space flexible hollow beam by the Hamilton least-action principle. Then, a complex structure-preserving method that has been proved to be feasible for the infinite-dimensional dynamic system is constructed. Subsequently, effects of the hollow structure, weak damping and variable structural parameters on the orbit-attitude-vibration coupling dynamics are discussed comprehensively. Meanwhile, the evolutions of energy of the coupling dynamic system with/without damping are reproduced. The results show that the effects of the hollow structure, damping and variable structural parameters are all notable for the dynamic behavior of the space coupling dynamic systems. The constructed complex structure-preserving method can effectively characterize the coupling dynamic behavior and energy evolution of the space system. The numerical examples may serve as practical references for the design of space flexible hollow structures.
A Modified Approach to Dissipative Particle Dynamics for Simulating Magnetorheological Suspensions in Couette and Poiseuille Flows
Authors: Pei Pei , Peng Yongbo
Published: September 2021

In this paper, an improved dissipative particle dynamics (DPD) model is proposed to simulate magnetorheological (MR) suspension by using the cubic spline function to represent the interactions between magnetic and fluid particles. The model’s accuracy has been verified and validated through carrying out a number of simulations on simple fluids and MR fluids, in which both qualitative and quantitative agreements are observed between the DPD simulation results and the experimental findings and theoretical models in the existing literature. A series of numerical experiments are then conducted on MR fluids, thereby the microstructure evolution and flow properties of MR fluids in Couette and Poiseuille flows are investigated and the effects of some critical factors are particularly explored. Simulation results reveal that the plug region size, which relates to the yield stress of MR fluids, shows an increasing trend with the increase of magnetic field strength, particle volume fraction, particle mass but a decreasing trend with the increase of Mason number and pressure gradient; however, it remains almost unchanged with varying temperature.
The Porosity-dependence of Bulk Modulus of Dry Porous Materials
Authors: Zhao Rong , Li Chunguang
Published: September 2021

By semi-analytical modifications to Mackenzie’s equation, a new third-order relation between bulk modulus and porosity is developed for porous materials. Compared with Mackenzie’s equation, the proposed equation takes into consideration critical porosity and real geometry represented by the assembly of hollow spheres. It has been shown that the proposed equation is in better agreement with 10 sets of published data than Mackenzie’s equation and that has an advantage in predicting the matrix bulk modulus even lack of the data of dense porous specimens. In addition, the proposed equation can describe the bulk modulus of porous materials with critical porosity well. However, Mackenzie’s equation cannot work.
Structure and properties of K0.5Na0.5Nb0.96Sb0.04O3 piezoelectric ceramics doped by CuO
Authors: Yin Qiyi , Wang Yu , Zhang Quanzheng , Hu Kunhong , Yang Jie , Yang Lei
Published: September 2021

Envisaged through adding sintering additives to achieve low-temperature sintering preparation, in order to overcome the volatilization of sodium ions and potassium ions in the high-temperature preparation, so as to improve the density and electrical properties of KNN-based piezoelectric ceramics. This research uses traditional solid-state sintering technology, a high density, high properties lead-free piezoelectric ceramics, KNNSC-[Formula: see text], successfully prepared with sintering additives CuO. The modern test analysis of XRD and SEM shows that a moderate amount of CuO doped in the range of research can form a single perovskite structure of an orthorhombic structure, not found in any second phase, and can promote grain evenly growing and improve the sintering properties of KNN-based piezoelectric ceramics. The KNNSC-0.04 ceramics exhibit excellent electrical properties through various electrical tests such as [Formula: see text] = 238pC/N, [Formula: see text]= 47%, [Formula: see text]= 1049, tan[Formula: see text]= 2.4%, [Formula: see text] = 25.6 [Formula: see text]C/cm2, [Formula: see text] = 1.24 kV/mm, respectively. These test results show that the KNNSC-[Formula: see text] piezoelectric ceramics have great potential to be applied in middle- and low-voltage piezoelectric devices.
COAA* — An Optimized Obstacle Avoidance and Navigational Algorithm for UAVs Operating in Partially Observable 2D Environments
Authors: Tai Jun Jet , Phang Swee King , Wong Felicia Yen Myan
Published: September 2021

Obstacle avoidance and navigation (OAN) algorithms typically employ offline or online methods. The former is fast but requires knowledge of a global map, while the latter is usually more computationally heavy in explicit solution methods, or is lacking in configurability in the form of artificial intelligence (AI) enabled agents. In order for OAN algorithms to be brought to mass produced robots, more specifically for multirotor unmanned aerial vehicles (UAVs), the computational requirement of these algorithms must be brought low enough such that its computation can be done entirely onboard a companion computer, while being flexible enough to function without a prior map, as is the case of most real life scenarios. In this paper, a highly configurable algorithm, dubbed Closest Obstacle Avoidance and A* (COAA*), that is lightweight enough to run on the companion computer of the UAV is proposed. This algorithm frees up from the conventional drawbacks of offline and online OAN algorithms, while having guaranteed convergence to a global minimum. The algorithms have been successfully implemented on the Heavy Lift Experimental (HLX) UAV of the Autonomous Robots Research Cluster in Taylor’s University, and the simulated results match the real results sufficiently to show that the algorithm has potential for widespread implementation.
Performance Analysis and Quality Evaluation of Wheat Storage in Horizontal Silo Bags
Authors: El-Kholy Mohamed M. , Kamel Reham M.
Published: September 2021

Wheat still suffers from the problem of traditional storage methods, limited storage capacity, and a high percentage of losses in terms of quantity and quality. Hermetic silo bags are economical and alternative technique to the traditional storage methods. Ten horizontal plastic silos with the capacity of 200 tons/silo were tested and evaluated for eight months of wheat storage. The evaluations included grain bulk temperature, CO2 concentration, fungal and microbial count, insect count, grain moisture content, 1000-grain weight, falling number, and protein content. The results showed that the stored wheat quality was maintained without any significant difference during the storage period in terms of 1000-grain weight, grain moisture content, and falling number, while there were slight changes in protein content and kernel hardness with a decrease of 5.5% and 4.6% at the end of the storage period. There were no statistically significant differences at the sampling location along the length of the storage silos, which confirms the homogeneity of the internal conditions of the examined silo. The grain bulk temperature inside the silos was always lower than the surrounding ambient air temperature. The higher concentration of carbon dioxide inside the silos during the storage period led to a decrease in fungal and microbial count and the presence of dead insects at the end of the storage period.
Efficacy and Safety of Immunosuppressant Therapy for Noninfectious Uveitis: A Systematic Review and Meta-Analysis
Authors: Zuo Haihong , Zhang Wei , Yan Yuqing
Published: September 2021

Objective. To analyze efficacy and safety of immunosuppressant therapy for noninfectious uveitis. Methods. A network search of PubMed, ResearchGate, and EMBASE databases was conducted for relative literature and studies from the inception of each database to April 2021. Primary outcomes were efficacy and time to treatment failure of immunosuppressant for noninfectious uveitis. Secondary outcome was incidence of adverse events (AEs). Cochrane risk of bias tool was used to assess risk of bias of included studies. Fixed effects model or random effects model was implemented to assess statistical heterogeneity. Subgroup analysis was employed to analyze heterogeneous sources. Results. Eight studies were deemed eligible for inclusion with a total of 848 patients. Six studies were randomized controlled trials (RCTs). Among them, a single-blind RCT had relatively high measurement bias and performance bias. Immunosuppressant presented favorable efficacy for noninfectious uveitis than placebo, and RR was 1.43 (95% CI: 1.12-1.82). Immunosuppressant for noninfectious uveitis prolonged the time before failure, and HR was 0.43 (95% CI: 0.32-0.54). AEs increased after immunosuppressant was applied. Compared with immunosuppressant, RR of AEs with placebo was 0.88 (95% CI: 0.71-1.08). Conclusion. Immunosuppressant contributed to controlling progression of noninfectious uveitis to some extent. Compared with placebo, it increased incidence of AEs. More studies with low heterogeneity are warranted for stronger evidence in clinical.
[Retracted] Investigation on V2O5 Thin Films for Field Effect Transistor Applications
Authors: Suresh Babu S. K. , Jackuline Moni D. , Gracia D. , Adigo Amsalu Gosu
Published: September 2021

V2O5 thin films are analyzed for the substitution of SiO2 to reduce the leakage current in devices when SiO2 becomes ultrathin in submicron technology. Vanadium pentoxide (V2O5) has a high‐k dielectric constant of 25 and can be replaced as a gate oxide in the field‐effect transistor. V2O5 is deposited using pulsed laser deposition (PLD) in the oxygen (O2) environment at room temperature and characterized. The films surface morphology has been examined by scanning electron microscopy. The capacitance, dielectric constant, and dielectric loss are analyzed for fabricated metal oxide semiconductor (MOS) structure using Solartron SI‐1260 impedance analyzer. The transfer characteristic of the fabricated device is analyzed using National Instruments NI‐PXI 4110. The ION/IOFF ratio of 106 and threshold voltage (VTH) of 0.6 V is obtained.
Association between Periodontitis and Carotid Artery Calcification: A Systematic Review and Meta‐Analysis
Authors: Wang Wenxuan , Yang Zhenghao , Wang Yue , Gao Hongyu , Wang Yan , Zhang Qiong
Published: September 2021

Recent studies have supported the relationship between periodontitis and carotid artery calcification (CAC), but still uncertain. This systematic review is aimed at evaluating the association between periodontitis and CAC. The search was conducted in four electronic databases: PubMed, EMBASE, Web of Science, and The Cochrane Library, supplemented by checking references of included articles and related review articles. Eligibility assessment and data extraction were conducted independently. The quality assessment and publication bias analysis were performed. The association between periodontitis and CAC was presented in odd ratio (OR) with 95% confidence interval (CI). Additional outcomes included the percentage of alveolar bone loss in CAC versus non‐CAC. Twelve studies were included, and 10 were performed quantity analysis. Periodontitis with secure definition (OR = 2.02, 95%CI = 1.18 − 3.45) and insecure definition (OR = 10.78, 95%CI = 4.41 − 26.34) was associated with CAC. And a higher average percentage of alveolar bone loss (weighted mean difference = 10.84%; 95%CI = 6.40 − 15.48) was also observed in CAC patients compared to non‐CAC patients. No significant publication bias was found. The results of this systematic review and meta‐analysis revealed a significant relationship between periodontitis and CAC.
Biomechanical Effects of Aspect Ratio of the Knee during Outside‐In Anterior Cruciate Ligament Reconstruction Surgery
Authors: Bae Tae Soo , Cho Byeong Chan , Kwak Dai-Soon
Published: September 2021

We analyzed tunnel length, graft bending angle, and stress of the graft according to tunnel entry position and aspect ratio (ASR: ratio of anteroposterior depth to mediolateral width) of the articular surface for the distal femur during single‐bundle outside‐in anterior cruciate ligament reconstruction (ACLR) surgery. We performed multiflexible body dynamic analyses with four ASR (98, 105, 111, and 117%) knee models. The various ASRs were associated with approximately 1 mm changes in tunnel length. The graft bending angle increased when the entry point was far from the lateral epicondyle and was larger when the ASR was smaller. The graft was at maximum stress, 117% ASR, when the tunnel entry point was near the lateral epicondyle. The maximum stress value at a 5 mm distance from the lateral epicondyle was 3.5 times higher than the 15 mm entry position, and the cases set to 111% and 105% ASR showed 1.9 times higher stress values when at a 5 mm distance compared with a 15 mm distance. In the case set at 98% ASR, the low‐stress value showed a without‐distance difference from the lateral epicondyle. Our results suggest that there is no relationship between the ASR and femoral tunnel length. A smaller ASR causes a higher graft bending angle, and a larger ASR causes greater stress in the graft.
Primary Retroperitoneal Malignant Melanoma with Involvement of Iliac Artery and Vein
Authors: Oulee Aislyn , Xu Ling , Worswick Scott
Published: September 2021

Primary retroperitoneal melanoma is a very rare extracutaneous presentation of melanoma. In this case report, we present a 65-year-old female with unilateral lower extremity edema secondary to occlusion of iliac vessels by a primary retroperitoneal melanoma tumor. We also review the findings in other cases previously described in the literature.
miR-190a-3p Promotes Proliferation and Migration in Glioma Cells via YOD1
Authors: Zhou Lili , Li Lingzhi , Chen Yan , Chen Chun , Zhi Zhongwen , Yan Luxia , Wang Yuqian , Liu Bing , Zhai Qijin
Published: September 2021

Introduction. To investigate the function of miR-190a-3p on the proliferation and migration of glioma. Methods. Twenty glioma samples and 6 normal brain tissue samples were collected. Normal human glial cell line HEB and glioma cell lines were used for the experiments. We then used TargetScan to predict the target genes of miR-190a-3p. Dual-luciferase reporter assay was also used to validate. Results. Combined with dual-luciferase reporter experiment, we finally verified that YOD1 was the aim, and it was low-expressed in glioma. Besides, a series of mechanism experiments then proved that miR-190a-3p negatively regulates YOD1 expression. Conclusions. Our research was the first to demonstrate the promoting function of miR-190a-3p in the proliferation and migration of glioma and provided new views for the treatment of glioma. miR-190a-3p was expected to be a new target for molecular therapy of glioma.
The Beneficial Role of Natural Endocrine Disruptors: Phytoestrogens in Alzheimer’s Disease
Authors: Domańska Anita , Orzechowski Arkadiusz , Litwiniuk Anna , Kalisz Małgorzata , Bik Wojciech , Baranowska-Bik Agnieszka
Published: September 2021

Alzheimer’s disease (AD) is the most common form of dementia with a growing incidence rate primarily among the elderly. It is a neurodegenerative, progressive disorder leading to significant cognitive loss. Despite numerous pieces of research, no cure for halting the disease has been discovered yet. Phytoestrogens are nonestradiol compounds classified as one of the endocrine‐disrupting chemicals (EDCs), meaning that they can potentially disrupt hormonal balance and result in developmental and reproductive abnormalities. Importantly, phytoestrogens are structurally, chemically, and functionally akin to estrogens, which undoubtedly has the potential to be detrimental to the organism. What is intriguing, although classified as EDCs, phytoestrogens seem to have a beneficial influence on Alzheimer’s disease symptoms and neuropathologies. They have been observed to act as antioxidants, improve visual‐spatial memory, lower amyloid‐beta production, and increase the growth, survival, and plasticity of brain cells. This review article is aimed at contributing to the collective understanding of the role of phytoestrogens in the prevention and treatment of Alzheimer’s disease. Importantly, it underlines the fact that despite being EDCs, phytoestrogens and their use can be beneficial in the prevention of Alzheimer’s disease.
Design of Project Cost Risk Management System Based on Improved Fuzzy Rule Weight Algorithm
Authors: Huang Chen , Zhu Yanfeng , Shao Xiaoming
Published: September 2021

Aiming at the low accuracy of index weight calculation and risk type identification in traditional cost risk management systems, this paper proposes a project cost risk management system based on an improved fuzzy rule weight algorithm. We analyzed the types of project cost risks, adopted a three-tier technical architecture to design the system frame structure and functional organization structure of the cost risk management system, and adopted the B/S architecture for network structure deployment. In the software part, an improved fuzzy rule weight algorithm is used to calculate the weight of project cost risk indicators, thereby improving the effectiveness of risk management. Experimental results show that the designed system works well, can accurately calculate the weights of risk indicators, and can effectively identify multiple risk types.
Panax Notoginseng Protects against Diabetes‐Associated Endothelial Dysfunction: Comparison between Ethanolic Extract and Total Saponin
Authors: Zhang Xutao , Zhou Chunxiu , Miao Lingchao , Tan Yi , Zhou Yan , Cheong Meng Sam , Huang Yu , Wang Yitao , Yu Hua , Cheang Wai San
Published: September 2021

Previous studies revealed a cardioprotective potential of Panax notoginseng to relieve acute myocardial infarction and focal cerebral ischemia‐reperfusion. However, whether P. notoginseng protects endothelial function in diabetes and the underlying mechanisms remain to be explored. P. notoginseng contains several chemical components including saponins, which are commonly believed as the major bioactive ingredients. The present study was aimed to examine and compare the vaso‐protective effects of the ethanolic extract of P. notoginseng (PNE) and total saponin (PNS). Both aortas and carotid arteries were isolated from male C57BL/6J mice for ex vivo treatment with risk factors (high glucose or tunicamycin) with and without the presence of PNS and PNE. Diabetic model was established by feeding the mice with a high‐fat diet (45% kcal% fat) for 12 weeks, while PNS and PNE were administrated by oral gavage at 20 mg/kg/day for another 4 weeks. Ex vivo exposure to high glucose impaired acetylcholine‐induced endothelium‐dependent relaxations in mouse aortas, decreased phosphorylation of AMPK and eNOS, and induced endoplasmic reticulum (ER) stress and oxidative stress. These effects were reversed by cotreatment of PNS and PNE with PNS being more potent. Furthermore, the vaso‐protective effects were abolished by Compound C (AMPK inhibitor). Chronic treatment with PNS and PNE improved endothelium‐dependent relaxations and alleviated ER stress and oxidative stress in aortas from high‐fat diet‐induced obese mice. PNE was more effective to improve glucose sensitivity and normalize blood pressure in diabetic mice. The present results showed that PNS and PNE reduced ER stress and oxidative stress and, subsequently, improved endothelial function in diabetes through AMPK activation. This study provides new inspiration on the therapeutic potential of P. notoginseng extract against vascular diseases associated with metabolic disorders.
Optimization of the Oil Drilling Monitoring System Based on the Multisensor Image Fusion Algorithm
Authors: Wang Dong , Li Yongming , Yu Haojie , Tang Ruizhi , Yan Ningping
Published: September 2021

The working environment of the oil drilling platform is harsh, with many uncertain factors and high operating risks. During the drilling process, due to sudden formation factors or improper process operations, it is extremely easy to cause well wall instability, sticking, lost circulation, well kick, and blowout. In addition, other complicated situations and accidents have brought major challenges to drilling safety. In order to improve the technical level of oil and gas exploration and development and achieve the goal of reducing costs and increasing efficiency, it is necessary to strengthen the optimization of traditional oil drilling monitoring systems. This article summarizes the advantages and disadvantages of the existing image multiscale analysis algorithms, from wavelet transform, stationary wavelet transforms to contourlet transform, and nondownsampled contours based on the characteristics of the images collected by different sensors in the oil drilling monitoring system and the needs of practical applications. Wave transforms detailed comparison of the fusion performance of these image analysis algorithms under the same fusion rules. Aiming at the shortcoming of the large amount of calculation of nonsubsampled contourlet transform, a fast implementation algorithm (IFNSCT) is proposed. The multichannel filter bank structure is used to replace the original tree filter bank structure, which reduces the time‐consuming to the original without affecting the analysis performance of the algorithm. One‐half of the oil drilling monitoring efficiency has been improved.
The Availability of Improved Sanitation Facilities and Its Associated Factors in the 12th District of Kandahar City, Afghanistan
Authors: Muslim Esmat Ullah , Stanikzai Muhammad Haroon , Wasiq Abdul Wahed , Khan Ahmad , Sayam Hadia
Published: September 2021

Background. The majority of people practicing open defecation and utilizing unhealthy sanitation facilities are in the developing world. The utilization of unimproved sanitation facilities remains the primary risk factor for many diseases, including nutritional diseases, diarrheal diseases, typhoid, cholera, and dysentery, particularly among children. Objectives. This study was carried out to assess the availability of improved sanitation facilities and factors associated with it in the 12th district of Kandahar city, Kandahar Province, Afghanistan. Methods. The study is a cross-sectional survey, conducted between September and October 2019. A structured questionnaire was used to gather self-reported information of the respondents, including sociodemographic information, household characteristics, and behavioral and environmental characteristics of the available sanitation facilities. Factors associated with the availability of the improved sanitation facility were determined using a multivariable logistic regression model. Results. In this study, the availability of improved sanitation facilities was 85.7% (95% confidence interval (CI) = 77.6%–92.1%). It was significantly influenced by living in a private house (adjusted odds ratio (AOR) = 2.99 (95% CI; 1.43–6.26)); inside location of latrine (AOR = 14.31 (95% CI; 3.59–56.99)); individual household latrine (AOR = 2.03 (1.04–3.95)); and the number of latrines in the household (AOR = 5.04 (2.45–10.35)). Conclusion. The availability of improved sanitation facilities was higher compared to the national level in the study area. This study provides significant evidence on approaches in line with the World Health Organization’s (WHO) Joint Monitoring Program and Sustainable Developmental Goals (SDGs) for enhancing the availability of improved sanitation facilities in Kandahar city.
Influential Usage of Big Data and Artificial Intelligence in Healthcare
Authors: Yang Yan Cheng , Islam Saad Ul , Noor Asra , Khan Sadia , Afsar Waseem , Nazir Shah
Published: September 2021

Artificial intelligence (AI) is making computer systems capable of executing human brain tasks in many fields in all aspects of daily life. The enhancement in information and communications technology (ICT) has indisputably improved the quality of people’s lives around the globe. Especially, ICT has led to a very needy and tremendous improvement in the health sector which is commonly known as electronic health (eHealth) and medical health (mHealth). Deep machine learning and AI approaches are commonly presented in many applications using big data, which consists of all relevant data about the medical health and diseases which a model can access at the time of execution or diagnosis of diseases. For example, cardiovascular imaging has now accurate imaging combined with big data from the eHealth record and pathology to better characterize the disease and personalized therapy. In clinical work and imaging, cancer care is getting improved by knowing the tumor biology and helping in the implementation of precision medicine. The Markov model is used to extract new approaches for leveraging cancer. In this paper, we have reviewed existing research relevant to eHealth and mHealth where various models are discussed which uses big data for the diagnosis and healthcare system. This paper summarizes the recent promising applications of AI and big data in medical health and electronic health, which have potentially added value to diagnosis and patient care.
[Retracted] High‐Precision 3D Reconstruction of Cooperative Markers under Motion Blur
Authors: Shi Yun , Tao Cong , Wang Xiaoping , Zhang Liyan
Published: September 2021

The application of artificial intelligence and deep learning in the fields of wireless communication, image and speech recognition, and 3D reconstruction has successfully solved some difficult modeling problems. This paper focuses on the high‐precision 3D reconstruction of the motion‐blurred cooperative markers, including the Chinese character coded targets (CCTs) and the noncoded circular markers. A simulation‐based motion‐blurred image generation model is constructed to provide sufficient samples for training the convolutional neural network to identify and match the motion‐blurred CCTs on the moving object. The blurred noncoded marker matching is performed through homography. The 3D reconstruction of the markers is realized via the optimization of the spatial moving path within the exposure period. The midpoint of the moving path of the markers is taken as the final reconstruction result. The experimental results show that the 3D reconstruction accuracy of the markers with a certain motion blur effect is about 0.08 mm.
[Retracted] Music Emotion Analysis Based on PSO‐BP Neural Network and Big Data Analysis
Authors: Xi Chen
Published: September 2021

The current music teaching can effectively improve students’ music emotional expression indirectly. How to use the PSO‐BP neural network to realize the quantitative research of music emotional expression is the current development trend. Based on this, this paper studies the influence factors of music emotion expression based on PSO‐BP neural network and big data analysis. Firstly, a music emotion expression analysis model based on PSO‐BP neural network algorithm is proposed. The autocorrelation function is used to simulate the emotion expression information in music. Through the maximum value of the autocorrelation function curve in the detection process, the vocal music signal is restored, and then the emotion expressed is analyzed. Secondly, the influence factors of PSO‐BP neural network algorithm in music emotion expression are analyzed. The improved PSO‐BP neural network algorithm and multidimensional data model are used for comprehensive analysis to accurately analyze the emotion in music expression, and the fuzzy evaluation method and analytic hierarchy process are used for quality evaluation. Finally, the validity of the music emotion analysis model is verified by many experiments.
Rapid Destructive Arthropathy of the Knee in Parkinson’s Disease with Pisa Syndrome: A Case of Knee-Spine Syndrome
Authors: Takai Hirokazu , Kitajima Masato , Takai Seiko , Takahashi Tomoki , Katsura Ken-ichi , Tokunaga Makoto , Watanabe Susumu
Published: September 2021

The changes occurring in knee osteoarthritis often cause alterations in the spinal loading condition, which further lead to degenerative changes. This close relationship of the knee and spine has been reported as knee-spine syndrome. A 60-year-old woman with Parkinson’s disease (PD; Hoehn-Yahr stage IV) had severe knee pain with moderate lateral osteoarthritis of the knee (Kellgren-Lawrence classification grade II). Conservative therapy had no effect at all, and the knee developed destructive osteoarthritis rapidly without any traumatic episodes. The radiographic findings progressed to Kellgren-Lawrence grade IV within a month. Magnetic resonance imaging revealed partial depression of the joint surface, including shredded ossicles and substantial amounts of synovial fluid. The imaging findings were considered to be caused by a subchondral insufficiency fracture (SIF). Total knee arthroplasty was performed using a semiconstrained prosthesis. The alignment of her lower extremity improved, and the patient could walk without knee pain. The patient had Pisa syndrome, a lateral flexion of the trunk, which is a postural deformity of the trunk secondary to long-standing PD. The postural deformity in PD is not based on spinal deformity itself but on the loss of postural reflexes and the imbalance of muscle tonus. Her left knee pain appeared 1 month after L1-L4 posterior lumbar interbody fusion (PLIF) as the Pisa syndrome to her left side worsened. The more the trunk tilts to the lateral side, the center of the gravity axis will shift and pass through more lateral points of the knee and result in higher knee load. The stress concentration from the spine to the lateral joint of the knee caused lateral knee osteoarthritis, namely, knee-spine syndrome. When patients undergo correction surgery for adult spinal disorder with impairment of postural reflexes, they need to be followed up carefully regarding not only the spinal alignment but also the lower extremities.
Modeling Complex Systems by Structural Invariants Approach
Authors: Bila Jiri , Reshak Ali. H. , Chysky Jan
Published: September 2021

When modeling complex systems, we usually encounter the following difficulties: partiality, large amount of data, and uncertainty of conclusions. It can be said that none of the known approaches solves these difficulties perfectly, especially in cases where we expect emergences in the complex system. The most common is the physical approach, sometimes reinforced by statistical procedures. The physical approach to modeling leads to a complicated description of phenomena associated with a relatively simple geometry. If we assume emergences in the complex system, the physical approach is not appropriate at all. In this article, we apply the approach of structural invariants, which has the opposite properties: a simple description of phenomena associated with a more complicated geometry (in our case pregeometry). It does not require as much data and the calculations are simple. The price paid for the apparent simplicity is a qualitative interpretation of the results, which carries a special type of uncertainty. Attention is mainly focused (in this article) on the invariant matroid and bases of matroid (M, BM) in combination with the Ramsey graph theory. In addition, this article introduces a calculus that describes the emergent phenomenon using two quantities—the power of the emergent phenomenon and the complexity of the structure that is associated with this phenomenon. The developed method is used in the paper for modeling and detecting emergent situations in cases of water floods, traffic jams, and phase transition in chemistry.
Second Zagreb and Sigma Indices of Semi and Total Transformations of Graphs
Authors: Yang Zhen , Arockiaraj Micheal , Prabhu Savari , Arulperumjothi M. , Liu Jia-Bao
Published: September 2021

The study of structure‐property relations including the transformations of molecules is of utmost importance in correlations with corresponding physicochemical properties. The graph topological indices have been used effectively for such study and, in particular, bond‐based indices play a vital role. The bond‐additive topological indices of a molecular graph are defined as a sum of edge measures over all edges in which edge measures can be computed based on degrees, closeness, peripherality, and irregularity. In this study, we provide the mathematical characterization of the transformation of a structure that can be accomplished by the novel edge adjacency and incidence relations. We derive the exact expressions of bond type indices such as second Zagreb, sigma indices, and their coindices of total transformation and two types of semitransformations of the molecules which in turn can be used to characterize the topochemical and topostructural properties.
Fruit Classification Utilizing a Robotic Gripper with Integrated Sensors and Adaptive Grasping
Authors: Zhang Jintao , Lai Shuang , Yu Huahua , Wang Erjie , Wang Xizhe , Zhu Zixuan
Published: September 2021

As the core component of agricultural robots, robotic grippers are widely used for plucking, picking, and harvesting fruits and vegetables. Secure grasping is a severe challenge in agricultural applications because of the variation in the shape and hardness of agricultural products during maturation, as well as their variety and delicacy. In this study, a fruit identification method utilizing an adaptive gripper with tactile sensing and machine learning algorithms is reported. An adaptive robotic gripper is designed and manufactured to perform adaptive grasping. A tactile sensing information acquisition circuit is built, and force and bending sensors are integrated into the robotic gripper to measure the contact force distribution on the contact surface and the deformation of the soft fingers. A robotic manipulator platform is developed to collect the tactile sensing data in the grasping process. The performance of the random forest (RF), k-nearest neighbor (KNN), support vector classification (SVC), naive Bayes (NB), linear discriminant analysis (LDA), and ridge regression (RR) classifiers in identifying and classifying five types of fruits using the adaptive gripper is evaluated and compared. The RF classifier achieves the highest accuracy of 98%, while the accuracies of the other classifiers vary from 74% to 97%. The experiment illustrates that efficient and accurate fruit identification can be realized with the adaptive gripper and machine learning classifiers, and that the proposed method can provide a reference for controlling the grasping force and planning the robotic motion in the plucking, picking, and harvesting of fruits and vegetables.
Curative Effect of Early Full Nursing Combined with Postdischarge Continuation Nursing on Patients after Craniocerebral Trauma
Authors: Lv Xiaodan , Lv Fengxia , Yin Guimei , Yi Ju , Liu Yi , Tian Ying
Published: September 2021

Early full nursing helps patients with some dysfunctions speed up the reorganization of central nervous system functions and coordinate muscle and limb activities. Postdischarge continuation nursing for patients who have not fully recovered after being discharged from the hospital can transfer nursing work from the hospital to the family to meet their nursing needs. In this study, early full nursing combined with postdischarge continuation nursing was used for patients with traumatic brain injury to explore its efficacy and its impact on patients' motor function, quality of life, and complications. The results of the study show that the total effective rate of the observation group (95.92%) was higher than that of the control group (85.71%). At discharge and 1 month, 3 months, and 6 months after discharge, the upper limb Fugl-Meyer score, lower limb Fugl-Meyer score, ARAT score, FIM score, 4 dimensions of GQOLI-74 score, and Barthel index scores of the observation group were higher than those of the control group in the same period. The postoperative complication rate (10.20%) of the observation group was lower than that of the control group (26.53%). Early full nursing combined with postdischarge continuation nursing can improve the rehabilitation effect, effectively promote the recovery of motor function in patients with traumatic brain injury, improve the quality of life, and reduce postoperative complications.
New Anticracking Glass‐Fiber‐Reinforced Cement Material and Integrated Composite Technology with Lightweight Concrete Panels
Authors: Chen Dong , Deng Junjie , Cheng Baoquan , Wang Qiong , Zhao Baojun
Published: September 2021

Glass‐fiber‐reinforced cement (GRC) is a widely used decorative material for wall facades. Conventional GRC products have poor crack resistance, low construction efficiency, poor integration, and few environmental benefits, hence failing to meet the requirements of building industrialization. To realize an integrated composite wall made from GRC and precast lightweight concrete (PLC) with a lasting anticrack effect, the anticracking properties of GRC material as well as the connection mode of GRC and PLC layers were studied. Through long‐term shrinkage test, the influence of fiber content, rubber powder content, and expansion agent content on the crack resistance of GRC material was systematically analyzed. At the same time, the influence of connection mode on the crack resistance of the GRC layer after compositing with precast lightweight concrete (PLC) was analyzed. The results showed that adding fiber can effectively improve the flexural strength of the GRC and reduce drying shrinkage, whereas adding rubber powder can effectively improve its toughness and crack resistance. The addition of U‐type expansion agent (UEA) can impart the cement mortar with a certain degree of microexpansion performance and help improve the drying shrinkage of the GRC. Compared with other compounding methods, the smooth connection of the GRC and PLC can effectively reduce the shrinkage of the GRC surface layer and improve its crack resistance. So, the new GRC material has good crack resistance performance and facade effect. These research studies provide an experimental basis for the large‐scale application of the panel, and it has great advantages in improving the efficiency of prefabricated building construction.