bluuebunny/crossref_metadata_2025 huggingface dataset:
Construction Means of Soil Microbial Synusiologic Network Based on ANN
Authors: Li Xia , Wang Huixian , Yuan Miaoxin
Published: October 2022

With the construction of synusiologic civilization and synusiologic environmental protection entering a new era driven by data, the breadth and depth of application of the DM technique in the domain of synusiologic environmental protection are constantly strengthened. If reasonable planning is not carried out in the process of social construction, it will cause unpredictable damage to the synusiologic environment. However, traditional synusiologic planning means too much human interference, and there are still some shortcomings in accuracy and operability, which means they cannot guide synusiologic construction well. In order to analyze the contribution of the soil nutrient data to soil fertility and dig out the knowledge describing soil fertility, this paper studies the construction means of soil microbial synusiologic network by ANN. By simulating the learning, memorizing, and processing problems of human brain neurons, the artificial network establishes a parallel distributed processing system computing DMG model with a large number of connections, which can quickly acquire knowledge from the outside world and store and process it and respond to the changes in the external environment in time. According to the research in this paper, the network performance of this algorithm is 18% better than that of the traditional algorithm, and it is suitable to be widely put into practice.
Study on the Destructive Effect of Small Faults on Coal Pore Structure
Authors: Liu Jianbao , Song Zhimin , Li Bing , Ren Jiangang , Chen Feng , Xiao Ming , Yang Chengtao
Published: October 2022

Small fault area in coal mine has great risk of coal and gas outburst. However, the damage effect of small faults on coal pore structure still lacks systematic research. Taking a small reverse fault under Pingmei No. 2 mine as an example, this paper collects the hanging wall coal samples within 5 m from the fault plane and the coal samples 50 m from the fault plane, where there is no fault development. The pore structure characteristics of the two coal samples were analyzed and compared by means of a scanning electron microscope, mercury injection, liquid nitrogen adsorption, and Raman spectroscopy. The test results show that compared with the coal samples without faults, the coal samples at faults form micron-scale fracture zones with constant spacing, stable occurrence, and flat two walls. The pore volume and pore specific surface area of different pore sizes increase, the pore peak of mesopore (100~1000 nm) shifts from 1000 nm to 200~400 nm, and its connectivity is enhanced. The number of micropores (<10 nm) increased significantly, and the ink bottle type pores developed. Faulting also has a certain impact on the macromolecular structure of coal, which shows that the D peak area decreases and the area of G peak increases, indicating that the order degree of macromolecular structure of coal increases.
Tracking and Analysing Error in Feedback Linearized Motion Trajectory of Hydraulic Actuator Based on the Internet of Things
Authors: Zhou Xiang
Published: October 2022

In the current era of technology, the Internet of Things (IoT) is gaining more importance as compared to the rest of the technologies because of its tremendous improvement and application in various areas including tracking and error controlling of physical devices. Controlling physical equipment from afar has become necessary in today’s practice. This type of operation needs a robust infrastructure that connects various types of equipment, such as sensors, actuators, plants, and so on, with controllers located in remote locations, either centralized or decentralized, via a communication channel. The variety of platforms makes it difficult to integrate all of these components; nevertheless, the usage of the IoT effectively offers communication across several devices and platforms. However, the drive joints of the traditional hydraulic actuator arm mostly take the form of a combination of a motor and a reducer, resulting in a very small load-to-weight ratio and the power-to-volume ratio of the traditional hydraulic actuator arm. In addition, the load-bearing ratio is one of the important indicators to measure the performance of industrial robots. In response to this problem, this paper studies the combined advantages of hydraulic transmission, a six-degree-of-freedom hydraulic actuator based on a vane-type hydraulic swing cylinder as a joint. According to the performance requirements of the butterfly valve, the hydraulic actuator components, such as hydraulic cylinders, AC servo motors, and hydraulic pumps, have been selected and designed. Furthermore, the calculation and construction of hydraulic pipelines and integrated valve blocks have been accomplished, as has the selection summary of various actuator components. Considering joint flexibility, this research work carries out trajectory planning in joint space, during which it resolves the optimal value of each joint angle under the condition of joint flexibility and obtains a smoother joint motion parameter curve by relying on the layered structure of the IoT framework. The simulation results show that this method can ensure that the acceleration at the start and end time is 0, and it can avoid the vibration of the hydraulic actuator arm at the start and stop.
Mechanical and Thermal Properties of Shale Ceramsite Concrete: Experimental Study on the Influence Law due to Microencapsulated Phase‐Change Material Content and Phase‐Change Cycle Numbers
Authors: Ding Weihua , Zhu Lin , Li Hu , Hou Bin , Yang Fan
Published: October 2022

The addition of microencapsulated phase‐change materials (MPCM) to concrete will inevitably cause changes in the mechanical and thermal properties of concrete, and this is vitally important for the safety and energy saving of concrete building components. In this research, shale ceramsite and shale ceramics sand were used as the main raw materials to produce lightweight aggregate concrete (LWAC) mixed with MPCM. In order to investigate the effect of MPCM content and phase‐change cycle numbers on the mechanical and thermal properties of MPCM‐LWAC, two groups of MPCM‐LWAC specimens were prepared. One group consists of specimens containing 2.5%, 5.0%, 7.5%, and 10% MPCM, respectively, and they are used to reveal the change law of tensile strength, compressive strength, enthalpy, and specific heat capacity of LWAC integrated into MPCM. The other group includes specimens with the same MPCM content, but the specimens are subjected to different phase‐change cycle numbers of 50, 100, 150, and 200 at the environment temperature of −10–60°C to study the thermal properties of MPCM‐LWAC. Findings from the experimental results include the following: (1)The tensile and compressive strengths of MPCM‐LWAC concrete are negatively correlated with the MPCM content, while the enthalpy and specific heat capacity are positively correlated with the MPCM content. When the MPCM content reaches 10%, the compressive and tensile strengths of MPCM‐LWAC decreased, respectively, by 45.49% and 52.63% than the LWAC without MPCM. (2) Under heating and curing condition, the corresponding maximum specific heat capacity of LWAC with 10% MPCM is 328.35% and 249.50% higher than the LWAC without MPCM, respectively, and the average specific heat capacities increase 71.21% and 44.94%, respectively. (3) The melting enthalpy of MPCM‐LWAC is slightly larger than the curing enthalpy, and the difference is more noticeable with the increase of MPCM content. In addition, when the number of phase‐change cycle is below 200, the compressive strength and splitting tensile strength of MPCM‐LWAC decrease by less than 5%, and the specific heat capacity decreases by less than 1.33%. Hence, it concludes that shale ceramsite concrete with MPCM has promising application prospects.
The Investigation about the Heritage over Generations for the Family Enterprise and Firms Financialization Process
Authors: Liu Hui
Published: October 2022

From the reform and opening up to the present, family businesses have become an important pillar of my country’s national economy and the most essential push power to the advancement of the Economy of China. At present, more and more family firms come to the top of the hill on the heritage over generations. Meanwhile, the right of owning the firm has changed from the inventor or creators to the descendant ones and it is a must for them to inherit to the advancement. The intergenerational inheritance of family businesses has also had a certain impact on the global economy. At present, China’s real economy is in a critical period of transformation and upgrading and industrial upgrading. At the same time, the weakening of the real economy. On the contrary, with the increasing popularity and deepening development of the financial industry, a large number of non-financial companies have turned their investment goals to the financial industry to obtain high returns. Of course, the company’s financialization must have its positive side, and naturally, there is also a negative side. There are opportunities for enterprises to obtain high profits, but there are also great investment and management risks. Therefore, before financial investment, we should also fully consider the business risks borne by family enterprises. In addition, because of the particularity of the ownership of family enterprises in China, there are great differences in many aspects compared with other family enterprises and non-family enterprises abroad and internationally. Therefore, there may be some differences in the impact of corporate financialization on them. This study will further study and analyze the internal factors and modes of family business intergenerational inheritance leading to enterprise financialization based on family emotional wealth theory and representative theory, combined with the process of family business intergenerational inheritance and family business financialization. In the theoretical part, it combs the literature, including the definition of intergenerational inheritance, influencing factors, and inheritance content. Through the empirical test of the intermediary effect, this paper analyzes and studies the direct impact and intermediary effect of the proportion of productive investment on the intermediary effect; the role of family business identity (most important for children), re measure explanatory variables, and use PSM, propensity score matching method to test the robustness of regression results.
Applications of Uncertainty Models as Support in Smart Buildings and Ethical Computing in Edge Computing of Smart Cities
Authors: Li Ying , Huwan Trip
Published: October 2022

In order to improve the effect of smart city construction, this paper combines smart buildings and ethical computing to conduct research on smart city edge computing. The new smart city architecture based on the flexible deployment of edge computing and data slicing capabilities provides support for the transformation of smart city construction from hardware embedded technology, access means, and software data processing. Moreover, this paper uses information technology to collect, process, analyze, use the information to achieve intelligence, and integrate resources and information of cities and people to build a smart city functional architecture. Moreover, this paper combines simulation technology for experimental research. Through experimental analysis, it can be seen that the smart city edge computing method based on smart buildings and ethical computing proposed in this paper has good results.
Bentonite Nanoclay Optoelectrochemical Property Improvement through Bimetallic Silver and Gold Nanoparticles
Authors: Ngcobo Sizwe , Silwana Bongiwe , Maqhashu Kanyisa , Matoetoe Mangaka C.
Published: October 2022

This study assesses the physical and electrochemical changes of bimetallic Ag-Au nanoparticle-functionalized bentonite nanoclay. Nanoclay was studied to deduce a better sensing material/film. A chemical co-reduction method was used to synthesize bimetallic Ag-Au c nanoparticles, which were used to prepare a Ag-Au/PGV bentonite composite. Bimetallic Ag-AuNPs and their nanoclay composite were optically characterized using the scanning electron microscope, ultraviolet visible spectroscopy, X-ray diffraction, and Fourier transform infrared, whilst cyclic voltammetry (CV) and differential pulse voltammetry (DPV) were used to ascertain their electrochemical activity and properties. The results of surface morphological inspection showed an average size of 10 nm, in agreement with XRD. The bimetallic Ag-AuNPs UV/Vis characteristic wavelengths of 414 nm and 516 nm confirmed the presence of Ag and Au metals, respectively. XRD exhibited diffraction planes related to 2θ values of Ag and Au metals, whilst FTIR indicated mainly COO- functional groups from the citrate capping of bimetallic Ag-Au NPs. CV and DPV showed that bentonite nanoclay is largely insulated by silicates but exhibited a small electroactivity of Fe. The electroactivity of Ag-Au/PGV bentonite exhibited peak potentials due to Ag/Ag+ and Au/Au3+ redox couples at 0.19 V/−0.20 V and 1.37 V/0.42, respectively. The Ag-Au/PGV bentonite nanocomposite exhibited the highest surface concentration of 3.25 × 10−2 cm2, a diffusion coefficient of 2.36 × −11 cm2/s, and an electron transfer rate constant (Ks) of 1.99 × 10−4 cm2. The outcome of these results indicated that the Ag-Au/PGV bentonite nanocomposite was more electroactive than PGV. Therefore, this study accentuates Ag-Au/PGV bentonite nanocomposite as a novel and promising platform for electrochemical sensing with higher sensitivity and efficiency than other sensing materials.
Analysis of Phenolic and Flavonoid Content, α-Amylase Inhibitory and Free Radical Scavenging Activities of Some Medicinal Plants
Authors: Pandey Lalit Kala , Sharma Khaga Raj
Published: October 2022

In Nepal, about 700 plant species have been reported to be used for the primary care of different diseases. However, many of them have not been studied yet for their scientific evidence. The main aim of this study is the quantitative analysis of flavonoids and phenolic content, antioxidant, and antidiabetic activities of the extracts of four different medicinal plants, namely, Pogostemon benghalensis, Aleuritopteris bicolor, Crateva unilocularis, and Rungia pectinata growing in Nepal. The methanol extracts of plant samples were prepared by the hot percolation method using the Soxhlet apparatus. The phytochemicals of the plant extracts were analysed by colour differentiation methods using different analytical reagents. The phenolic content was estimated by using Folin–Ciocalteu’s phenol reagent and the flavonoid was estimated by the aluminium chloride colorimetric method. The 1,1-diphenyl-2-picrylhydrazyl (DPPH) free radical scavenging assay was used to evaluate the antioxidant potential. The α-amylase enzyme inhibition activity was performed to evaluate the antidiabetic activity of plant extracts. The amount of total phenolics and flavonoids content was found to be the highest in Pogostemon benghalensis (169.43 ± 3.58 mg GAE/g and 65.2 ± 2.0 mg QE/g), respectively, which also showed the most potent free radical scavenging activity (IC50 35.92 ± 0.65 μg/mL). The extract of Aleuritopteris bicolor showed the highest α-amylase inhibitory activity (IC50 651.58 ± 10.32 μg/mL) whereas Crateva unilocularis and Pogostemon benghalensis exhibited moderate activity. The extract of Rungia pectinata showed the least activity towards α-amylase inhibition. Some of the medicinal plants selected in this study showed high TPC and TFC values with potent biological activities. To the best of our knowledge, these medicinal plants have the least exposure to their biological activities, and the results provide scientific evidence for the traditional uses of these plants against diabetes and infectious diseases. However, a detailed study can be performed in these plants to isolate the active chemical compounds and to evaluate in vivo pharmacological activities to know the active drug candidates for the future drug development process.
Rosiglitazone Alleviates Contrast-Induced Acute Kidney Injury in Rats via the PPARγ/NLRP3 Signaling Pathway
Authors: Wu Jiayi , Huang Jinhua , Chen En , Zheng Xingchun
Published: October 2022

Background. This study investigated the effect and mechanism of rosiglitazone on a rat model with contrast-induced acute kidney injury (CI-AKI). Materials and Methods. The CI-AKI rat model was established from Sprague Dawley rats by furosemide injection (10 ml/kg) to the caudal vein followed by iohexol (11.7 ml/kg). The experimental grouping was randomly allocated into control, model, rosiglitazone, and T0070907 groups. Blood samples were collected from the abdominal aorta. Serum creatinine, urea nitrogen, MDA, and SOD contents were detected by biochemical analysis. TNF-α and IL-10 expression was detected by ELISA. Urine creatinine and urine protein were measured following 24-h urine biochemistry testing. Cell pathology and apoptosis were detected by H&E and TUNEL staining, respectively. PPARγ, NLRP3, eNOS, and caspase-3 mRNA expression were detected by qPCR. Caspase-3 and NLRP3 expression were detected by immunohistochemistry. Results. The CI-AKI rat model was successfully established because the results showed that compared with control, serum creatinine, urea nitrogen, MDA, SOD, TNF-α, and IL-10, urine creatinine and urine protein levels were significantly increased in the model group, indicating AKI, but was significantly decreased with rosiglitazone treatment, indicating recovery from injury, while opposite results were obtained with SOD. Apoptosis rate was significantly increased in the model group and significantly decreased with rosiglitazone treatment. NLRP3 and eNOS increased significantly in the model group and decreased significantly with rosiglitazone treatment, while opposite results were obtained with PPARγ. NLRP3 and caspase-3 protein expression was significantly increased in the model group and significantly decreased with rosiglitazone treatment. Conclusion. Rosiglitazone could alleviate acute renal injury in the CI-AKI rat model by regulating the PPARγ/NLRP3 signaling pathway and should be further investigated as a potential treatment in clinical studies.
Managerial Ownership and Stock Price Volatility: The Moderating Role of Corporate Transparency in China
Authors: Zhong Qi
Published: October 2022

This paper aims to investigate the impact of managerial ownership on the stock price volatility in China by considering corporate transparency as a mediator. By analyzing data from 558 Chinese listed companies between 2016 and 2020, empirical results from a multiple linear regression model show a positive correlation between managerial ownership and corporate transparency. The results also provide the evidence that the negative correlation between managerial ownership and stock volatility is more (less) pronounced in companies with less (more) transparency. Enterprises should cooperate with financial analysts to increase corporate transparency. Individual investors can analyze the market performance by examining the company’s equity structure, the number of cooperative analysts, and the number of research reports so as to provide more reliable basis for investment.
Flax‐ and Graphene‐Reinforced Natural Fiber Nanocomposites under Cryogenic Environment for Constructional Applications
Authors: Albaqami Munirah D. , Krishnamoorthy N. , Mageswari S. D. Uma , Shinde Sarita Santaji , Naidu S. C. V. Ramana Murty , Munjal Neha , Bahajjaj Aboud Ahmed Awadh , Mohammed S. H. , Srinivasan Prasath
Published: October 2022

Mostly at the micro‐ and nanoscales, efforts were made to produce innovative thermoplastic nanocomposite materials. These composites were reinforced with natural fibres and artificial additives with improved mechanical characteristics. This research entails the creation of a novel nanocomposite material made up of unsaturated polyester resin, graphite at the nanoscale, and flax fibres at the microscale. Flax fibres make up 4, 8, and 12% of the binding matrix’s weight, respectively. A constant quantity of nanoparticles equal to 4 wt% of the binding matrix is used. In order to stick the graphene to natural fibres, an appropriate surface alteration approach is needed, and this work will focus on the plasma technique of interface adherence. Fibres were employed as a reinforcement with polyester to create a nanocomposite that improved adherence between the fillers while also retaining the matrix alkalisation. In order to assess interferential adherence and fibre distribution homogeneity in the matrix system, the composite was made up of hand lay‐up technique. The manufactured composite was engrossed into fluid N2 at ‐196°C. A SEM was utilized to undertake treated and untreated specimens for spectroscopy analyses. Mechanical possessions like tension and flexural were accomplished. In comparison to previous tested doses, the 5 percent alkali‐treated flax incorporating graphite has shown promising outcomes than other samples.
[Retracted] Nathaniel Hawthorne’s Landscape Writing and His Environment Concerns
Authors: Xiaohan Mei
Published: October 2022

In order to better understand the research and analysis of Nathaniel Hawthorne’s landscape writing and ecological environment problems, his paper discusses the description of environmental landscape in Hawthorne’s writings. This paper analyzes the “social‐ecological” environment during the antebellum era through Hawthorne’s literary writings. Comparing Hawthorne’s writings of the landscape within statistics and diagrams, this study argues that the romantic descriptions of natural settings and characters in Hawthorne’s writings reflect the social and ecological environment of antebellum era. Therefore, reads can accurately understand Nathaniel Hawthorne’s living context and the ecological environment problems. This study also argues that Hawthorne’s writings of landscape reflect much more the ecological and environmental problems in his era comparing with other antebellum writers. Understanding Hawthorne’s writing of the environment will also provide a guidance for the contemporary society.
Application of GA in Furniture Modeling Style Design
Authors: Yu Heng , Liu Chunjing
Published: October 2022

With the rapid development of the national economy, the construction industry is unprecedentedly active and has made great achievements. However, most traditional structural design is based on the personal experience of designers. In order to improve the production efficiency of furniture, it is necessary to optimize it. Since the evaluation criteria mainly depend on people’s subjective thoughts, it is difficult to describe the individual’s adaptive function. In this paper, an interactive innovation evolution system based on evolutionary algorithm is proposed. Taking full advantage of the evolution function of genetic algorithm and the modeling advantages of ACIS platform, a prototype innovation evolution system is developed based on ACIS/hoops platform with the genetic algorithm based on tree structure as the innovation support, which can help designers complete the innovation modeling design. The results show that the total processing time of the sorting scheme obtained by this algorithm is reduced by 2475.2 s, the production efficiency is increased by 20.6%, and the job waiting time is reduced by 15079.2 s. The results show that the algorithm is feasible and effective in solving the furniture production scheduling problem. The furniture production scheduling scheme solved by genetic algorithm can provide certain reference value for production personnel to formulate production scheduling scheme and improve production efficiency.
A Low Power ROIC with Extended Counting ADC Based on Circuit Noise Analysis for Sensor Arrays in IoT System
Authors: Zhou Ye , Lu Wengao , Yu Shanzhe , Yu Dunshan , Zhang Yacong , Chen Zhongjian
Published: October 2022

As the Internet of Things (IoT) is rapidly integrated into our daily life, the demand for high performance readout integrated circuit (ROIC) design for sensor arrays is boosting. This paper presents a low power, low noise ROIC with 14-bit column-parallel extended counting (EC) ADCs for sensor arrays targeting the IoT applications. The proposed EC-ADC adopts a pseudodifferential architecture to cancel even-order nonlinearity. The analog front-end is a

G

m

stage, which employs a current-reuse topology to boost the transconductance and reduce noise without increasing current consumption. The upper 9-bit conversion is implemented during integration, and the residual voltage is converted by a 5-bit single-slope (SS) ADC, where the comparator is reused. A ping-pong integrator is proposed to reduce the reset time and improve linearity, eliminating the power-hungry CTIA structure. The ROIC is designed in 0.18 μm 1P5M CMOS process for a

640
×
480

sensor array. Power consumption of the ROIC is 33 mW, and each column ADC consumes 40.1 μW. Simulation results show an input-referred noise of 0.89 LSB (1.74 μVrms), an integral nonlinearity of +0.92/-0.70 LSB, an ENOB of 12.87 bits, and a FoM of 131.1 fJ/step.
[Retracted] The Generation and Realization of Dunhuang Cultural Values from the Perspective of Crosscultural Communication: Based on Spanish and Chinese Culture
Authors: Liang Lin , Wang Shasha
Published: October 2022

Dunhuang Feitian is a complex of Indian culture, Buddhist culture, Western culture, and Central Plains culture. It has been loved by artists since ancient times and is an important embodiment of the essence of grotto art. Dunhuang culture is an important cultural heritage used to build Chinese cultural identity. With the development of science and technology and the progress of society, the exchanges between cultures are increasingly deepened. These exchanges are not only reflected in language, economy, politics, film, and technology but also in science and technology. From a macroperspective, culture includes all products, and products are also an intuitive manifestation of culture. How to continue culture and consider the customs and taboos of the outside world while continuing retains the essence of culture to the greatest extent and integrates local characteristics, so that foreign culture can be integrated into it. Being well accepted by local people will become an important proposition for crosscultural communication and value expression. Therefore, based on cognitive thinking and Kansei engineering theory, this research explores and analyzes product design methods that integrate Spanish and Chinese cultures, hereinafter referred to as “Western‐Chinese” cultures. Analyze the two cultures separately: from a certain culture, after the image investigation, extract the target image; from another culture, get the modeling design factors and then realize the product image modeling design of crosscultural Dunhuang integration and the Dunhuang culture. Value generation and realization reasonably recognize the connection between the two cultures, form a crosscultural integration design theory, and provide new ideas for product innovation design.
Study of Ge‐Sb‐Te Superlattice Structure Based on Topological Descriptors
Authors: Zhang Xiujun , Naeem Muhammad , Rauf Abdul , Aslam Adnan , Iqbal Zafar , Issa Abudulai
Published: October 2022

Ge‐Sb‐Te superlattice is a new electronic material that is capable of storing nonvolatile phase‐change memories with very low energy consumption. Topological descriptors are numerical values given to molecular structures that may be used to predict specific physical/chemical characteristics. In this work, we have investigated topological descriptors of the Ge‐Sb‐Te superlattice structure based on ev and ve‐degree. We have calculated the Zagreb, geometric‐arithmetic, Randic, and atom‐bond connectivity indices of the Ge‐Sb‐Te superlattice structure using the ev‐ and ve‐degrees. This kind of research may be beneficial for understanding the structure’s chemical and biological activity.
Diagnostic Predictive Value of Tryptase, Serum Amyloid A and Lipoprotein-Associated Phospholipase A2 Biomarker Groups for Large Atherosclerotic Cerebral Infarction
Authors: Jia Wenhui , Li Xia , Lei Fang , Hu Fengyun , Li Fenglian , Zhang Xueying , Liu Siyu , Huang Feifei , Li Changxin
Published: October 2022

Background. There has been a gradual trend towards younger ageing of acute cerebral infarction in recent years. Atherosclerotic plaque rupture followed by dislodgement of emboli and resulting arterial embolism is an important mechanism for the development of acute cerebral infarction. Traditional independent risk factors for cerebral infarction have received attention from clinicians, but the risk factors for large artery atherosclerotic cerebral infarction are still unclear. Various blood biomarkers have an important role in the early diagnosis of large artery atherosclerotic cerebral infarction. Objective. To assess the diagnostic predictive value of a group of biomarkers for large artery atherosclerotic cerebral infarction. Methods. Lipoprotein-associated phospholipase A2 (LP-PLA2), trypsin-like protein (TPS), serum amyloid A (SAA), and supersensitive C-reactive protein (hs-CRP) levels were measured in the case group (30 cases) and control group (54 cases), respectively. Results. The differences in the general data between the two groups were not statistically significant (

P
>
0.05

). Logistic regression and ROC curve analysis showed that Lp-PLA2, TPS, and SAA were positively associated with the diagnosis of large atherosclerotic cerebral infarction (

P
<
0.05

). The area under the ROC curve of the multivariate model for the biomarker group reached 0.995. Conclusion. Biomarkers are closely associated with the occurrence of large atherosclerotic cerebral infarction and can be used as clinical adjuncts for diagnosis and assessment of prognosis.
Review of Evidence for the Usage of Antioxidants for Eye Aging
Authors: Choo Priscilla Peixi , Woi Pui Juan , Bastion Mae-Lynn Catherine , Omar Rokiah , Mustapha Mushawiahti , Md Din Norshamsiah
Published: October 2022

Oxidative stress is one of the common factors leading to age‐related eye diseases in older adults. Factors such as high oxygen consumption, high concentration of polyunsaturated fatty acids, and cumulative exposure to high‐energy visible light in the eyes, lead to excessive generation of reactive oxygen species, hence triggering apoptosis of ocular cells and giving rise to ophthalmic diseases. Dietary supplements such as carotenoids, anthocyanins, and vitamins have antioxidant properties which may be of benefit in retaining better vision or reversing vision impairment; thus, studies have been conducted to understand the role of dietary supplements in the treatment or prevention of ophthalmic diseases. While high concentration of carotenoids such as lutein and zeaxanthin decrease the risk of developing age‐related macular disease, anthocyanins and vitamins play a role in the treatment and prevention of other ophthalmic diseases: saffron extract reduced intraocular pressure in glaucoma patients; bilberry extract prevented impairments in lenses and retina, as well as alleviate symptoms of dry eye disease; high concentration of beta‐carotene may reduce the risk of developing cataract. Further studies with clinical measurements are required to investigate the effectiveness of antioxidants on visual function and ophthalmic diseases.
Proteomic Analysis of Exudates from Chronic Ulcer of Diabetic Foot Treated with Scorpion Antimicrobial Peptide
Authors: Tan Zhixiang , Yu Zhiguo , Xu Xiaobo , Meng Lanxia , Yu Mosheng , Tao Rui , Wu Yingliang , Zhu Zhanyong
Published: October 2022

Scorpion peptides have good therapeutic effect on chronic ulcer of diabetic foot, but the related pharmacological mechanism has remained unclear. The different proteins and bacteria present in ulcer exudates from chronic diabetic foot patients, treated with scorpion antimicrobial peptide at different stages, were analyzed using isobaric tags for quantification-labeled proteomics and bacteriological methods. According to the mass spectrometry data, a total of 1865 proteins were identified qualitatively, and the number of the different proteins was 130 (mid/early), 401 (late/early), and 310 (mid, late/early). In addition, functional annotation, cluster analysis of effects and the analysis of signal pathway, transcription regulation, and protein-protein interaction network were carried out. The results showed that the biochemical changes of wound microenvironment during the treatment involved activated biological functions such as protein synthesis, cell proliferation, differentiation, migration, movement, and survival. Inhibited biological functions such as cell death, inflammatory response, immune diseases, and bacterial growth were also involved. Bacteriological analysis showed that Burkholderia cepacia was the main bacteria in the early and middle stage of ulcer exudate and Staphylococcus epidermidis in the late stage. This study provides basic data for further elucidation of the molecular mechanism of diabetic foot.
The Intergenerational Income Mobility of Chinese Urban and Rural Residents Based on Big Data Technology
Authors: Shao Yingying
Published: October 2022

In order to analyze the intergenerational income mobility of urban and rural residents, this paper uses big data technology to study the intergenerational income mobility of urban and rural residents in China, constructs a corresponding model, and presents an interval type-2 fuzzy model based on the distributed integration method. The model constructs an initial interval type-2 fuzzy model through a distributed integration strategy and provides an optimization method for the parameters of the interval type-2 fuzzy model based on the least squares method, which is used to ensure the prediction performance of the model. The experimental study verifies that the big data technology can play an important role in the research on the intergenerational income of urban and rural residents in China.
Comparison of Clinical Pregnancy Outcomes after Fresh and Frozen Embryo Transfer
Authors: Yu Hui , Zhang Yuehong , Han Mei
Published: October 2022

Objectives. To analyze the clinical outcomes of the patients who underwent fresh or frozen embryo transfer, as well as the neonatal outcomes. Methods. We conducted a retrospective analysis of women who underwent in vitro fertilization with fresh and frozen embryo transfer from January 2019 to January 2021. All of the included embryo transfers resulted in live births at ≥28 weeks of gestation. All of the patients were divided into two groups according to the assisted reproductive technique that was used (fresh embryo transfer group (

n
=
101

) and frozen embryo transfer group (

n
=
125

)). Both groups were divided into subgroups based on a maternal age of ≥35 years. Result(s). Between the two groups, only the cesarean section rate was higher in the frozen transfer group, while no differences were shown for other outcomes. There were significant differences in the gestational hypertension and postpartum hemorrhage rates based on the subgroup comparison. No significant differences were detected in the offspring. Conclusions. Comparing fresh and frozen embryo transfers did not reveal any significant superiority. Venerable age exerts an apparent influence on pregnancy complications. Frozen embryo transfer is not always the best choice.
An Ample Review on Compatibility and Competence of Shape Memory Alloys for Enhancing Composites
Authors: Gopalakrishnan T. , Chandrasekaran M. , Saravanan R. , Murugan P.
Published: October 2022

The name shape memory alloy (SMA) reveals its behavior of being an accurate heat-sensitive material in changing its shape based on the temperature. This ample review concentrates on the current scenario of including SMA in polymer matrix composites to achieve desired objectives. Polymer-based shape memory alloys are termed shape memory polymers (SMP), and they consist of deformable materials that are able to switch between their original shapes and temporary shapes, which can be generously designed. SMPs could be classified as smart materials by considering their low density, good biocompatibility, excessive deformation etc. On the other hand, many engineering applications of SMP uses have limitations and disadvantages. In this regard, the importance of SMPs has been analyzed based on the following aspects: synthesis method, fiber reinforcement, parameters that affected the polymer-based SMA, and implementation of multifunctionality materials. Fiber-reinforced polymer composites have more responsibilities for expanding interest in current innovative research and expected mechanical applications because of their significant space compared with conservative materials. A polymer composite presents effectively adaptable product properties, expected high strength-to-weight ratio, high flexibility in the manufacturing process, high corrosion resistance, and easy fabrication at a lower cost.
Cloud Computing Image Processing Application in Athlete Training High-Resolution Image Detection
Authors: Li Hongtao
Published: October 2022

The rapid development of Internet of things mobile application technology and artificial intelligence technology has given birth to a lot of services that can meet the needs of modern life, such as augmented reality technology, face recognition services, and language recognition and translation, which are often applied to various fields, and some other aspects of information communication and processing services. It has been used on various mobile phone, computer, or tablet user clients. Terminal equipment is subject to the ultralow latency and low energy consumption requirements of the above-mentioned applications. Therefore, the gap between resource-demanding application services and resource-limited mobile devices will bring great problems to the current and future development of IoT mobile applications. Based on the local image features of depth images, this paper designs an image detection method for athletes’ motion posture. First, according to the characteristics of the local image, the depth image of the athlete obtained through Kinect is converted into bone point data. Next, a 3-stage exploration algorithm is used to perform block matching calculations on the athlete’s bone point image to predict the athlete’s movement posture. At the same time, using the characteristics of the Euclidean distance of the bone point image, the movement behavior is recognized. According to the experimental results, for some external environmental factors, such as sun illumination and other factors, the image detection method designed in this paper can effectively avoid their interference and influence and show the movement posture of athletes, showing excellent accuracy and robustness in predicting the movement posture of athletes and action recognition. This method can simplify a series of calibration tasks in the initial stage of 3D video surveillance and infer the posture of the observation target and recognize it in real time. The one that has good application values has specific reference values for the same job.
Analysis of Data on Fludarabine, Cyclophosphamide, and Rituximab Chemoimmunotherapy for Chronic Lymphocytic Leukemia Shows High Patient Heterogeneity and the Need for More Consideration of Individualized Treatment
Authors: Xu Xiaoli , Zhao Ying , Ye Haiyan , Qi Yonglei , Xu Wenning , Ling Yiwen , Yang Shaojiang
Published: October 2022

Object. In this study, bioinformatics analysis of differentially expressed genes (DEGs) and signaling pathway activities in different progression stages of chronic lymphocytic leukemia (CLL) and pre- and post-chemoimmunotherapy (CIT) treatment was performed. This may provide novel ideas for molecular diagnosis and individualized treatment strategies for CLL patients. Methods. Data from single-cell RNA sequencing (RNA-seq) of CLL patients were obtained from the Gene Expression Omnibus database. The R package was utilized to analyze the data, and the relation of results was predicted via the GeneMANIA website. The information of 7 samples covered three stages: observation stage, pretreatment by CIT with rituximab, fludarabine, and cyclophosphamide (pre-CIT), and post-CIT. The differentially expressed genes (DEGs) were identified, and functional enrichment analyses were performed. B cell subpopulations and pseudotime trajectories analysis was conducted. Results. A total of 70,659 DEGs were identified. Each patient’s DEGs presented their own characteristics, with low similarity. Therefore, it is difficult to identify potential hub genes. Similarly, pathway enrichment analysis showed significant tumor heterogeneity among CLL patients. Analysis of relapsed post-CIT compared to the observation stage suggested that the TP53 pathway should be taken seriously as it is closely related to treatment strategy and patient prognosis. Conclusions. Tumor heterogeneity may be a more common manifestation of CLL. Individualized treatment should be considered for CLL. TP53 abnormality and its regulatory factors should still be the focus of CLL diagnosis and treatment.
An Efficient Technique for Time-Fractional Water Dynamics Arising in Physical Systems Pertaining to Generalized Fractional Derivative Operators
Authors: Rashid Saima , Kanwal Bushra , Attique Muhammad , Bonyah Ebenezer
Published: October 2022

This study proposed the

q
˜

-homotopy analysis transform method (

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-HATM) as a revolutionary mathematical method for addressing nonlinear time-fractional Boussinesq and approximate long wave dynamics models with the Caputo and Atangana–Baleanu fractional derivatives in the Caputo sense. Through a specific velocity distribution, these models play an essential role in explaining the physics of wave propagation. The

q
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-HATM is a new improvement to the Elzaki transform (ET) that simplifies the computations. The presented scheme addresses computational complexity by avoiding the use of Adomian and He’s polynomials, which is a distinguishing feature of this innovative methodology over decomposition and the homotopy perturbation transform method. The convergence analysis and error analyses are carried out in the current investigation for the upcoming strategy. We provide illustrations to exemplify the suggested system’s strength and efficacy, and the error estimates are described to ensure reliability. The analytical and graphic illustrations show that the projected methodology is numerically very precise and pragmatic to analyze the solution of fractional associated dynamics that arise in physics and engineering.
Caregivers’ Perception about the Relationship between Oral Health and Overall Health in Individuals with Disability in Qatif, Saudi Arabia: A Cross-Sectional Study
Authors: Alalshaikh Marwa , Alsheikh Rasha , Alfaraj Amal , Al-Khalifa Khalifa S.
Published: October 2022

Background. In Saudi Arabia, there are many people with disabilities that do not receive adequate healthcare, especially in the field of dentistry. Objective. This study focused on assessing caregivers’ perception of the relationship between oral healthcare and the overall health status of individuals with special healthcare needs (SHCN) in Qatif, Saudi Arabia. Methodology Design. This cross-sectional study was conducted using a questionnaire that was divided into two sections. The first part included demographic information such as the age and gender of both the caregiver and the person with a disability and the type of disability. The second part investigated the systemic health of the individual with a disability and the caregivers’ perception of the relationship between the management and treatment of systemic health and oral healthcare in relation to the overall health status. The results of descriptive analyses were summarized using frequency distribution tables. Bivariate analyses (chi-square test) were also performed. Significant differences were considered at a

p

value of 0.05. Setting. Initiated in school setting. Results. A total of 186 caregivers participated in the study. As much as 83.3% agree that oral health affects overall health, and 48.9% agreed that untreated dental problems could affect cardiac health. Age was the only factor found to be significantly associated with caregiver perception as younger caregivers were more likely to rightly understand the relationship between oral health and general health (

p
<
0.05

). Conclusion. This study has shown the extent to which caregivers of individuals with special care needs to understand the role of oral health in the general health of an individual. Three-quarters of the caregivers agree that dental health affects overall health, and age is a factor that might influence this understanding.
Protein-Specific Prediction of RNA-Binding Sites Based on Information Entropy
Authors: Ji Yue , Bai Lu , Li Menglong
Published: October 2022

Understanding the protein-RNA interaction mechanism can help us to further explore various biological processes. The experimental techniques still have some limitations, such as the high cost of economy and time. Predicting protein-RNA-binding sites by using computational methods is an excellent research tool. Here, we developed a universal method for predicting protein-specific RNA-binding sites, so one general model for a given protein was constructed on a fixed dataset by fusing the data of different experimental techniques. At the same time, information theory was employed to characterize the sequence conservation of RNA-binding segments. Conversation difference profiles between binding and nonbinding segments were constructed by information entropy (IE), which indicates a significant difference. Finally, the 19 proteins-specific models based on random forest (RF) were built based on IE encoding. The performance on the independent datasets demonstrates that our method can obtain competitive results when compared with the current best prediction model.
Integrated Single-Cell and RNA Sequencing Analysis Identifies Key Immune Cell and Dendritic Cells Associated Genes Participated in Myocarditis
Authors: Gong Qiang , Huang Jianfeng , Wu Qicai
Published: October 2022

Myocarditis is a complex disease characterized by myocardial inflammatory cell infiltration. The purpose of our study was to investigate the gene and single-cell signature to explore the involvement of immune cells in myocarditis. Gene expressions merged from GSE35182 and GSE35182 datasets were subjected to differential expression gene (DEG) analysis and PPI network construction. The correlation analysis of DEGs with immune cell infiltration was performed. Single-cell RNA sequencing (scRNA-seq) was downloaded from GSE174458. A total of 58 DEGs were identified, including 51 DEGs upregulated and 7 DEGs downregulated in the myocarditis group compared with the control group. GO and KEGG enrichment analyses revealed that myocarditis triggered DEGs mainly involved in immune-related processes and pathways. PPI network analysis identified 20 central hub genes. Occurrence of myocarditis induced significant enrichment of conventional dendritic cell 2 (cDC2), plasmacytoid DC, and plasma cell in myocardial tissue. Mmp12, Gpnmb, and Atp6v0d2 expressions were positively correlated with cDC abundance, of which only Mmp1 and Gpnmb were shared with hub gene list. A total of 20972 cells in scRNA-seq yielded 26 cell clusters and annotated 9 cell types, including fibroblasts, neutrophils, stromal cells, monocytes, basophils, B cells, natural killer T cells, innate lymphoid cells, and T cells, and only proportion of natural killer T cells and monocytes were higher in the myocarditis than in control. Monocytes annotated 3 subclusters including DC, macrophage, and monocytes. Hub genes of Ctss, Mpeg1, Cybb, H2-Ab1, Ly86, CD74, and Lgals3 were highly expressed in monocytes cluster. Among DC-correlated DEGs, Mmp12 was mainly expressed in monocyte cluster, and Gpnmb was mainly expressed in fibroblast cluster, whereas Atp6v0d2 expression has a weaker signal and weaker cell preference. In conclusion, DC infiltration and its associated pivotal genes may be responsible for progression of myocarditis. Our study expands and provides novel information on the immune cell engagement of myocarditis.