bluuebunny/crossref_metadata_2025 huggingface dataset:
On the Hofer–Zehnder conjecture on ℂPd via generating functions
Authors: Allais Simon
Published: August 2022

We use generating function techniques developed by Givental, Théret and ourselves to deduce a proof in [Formula: see text] of the homological generalization of Franks theorem due to Shelukhin. This result proves in particular the Hofer–Zehnder conjecture in the nondegenerate case: every Hamiltonian diffeomorphism of [Formula: see text] that has at least [Formula: see text] nondegenerate periodic points has infinitely many periodic points. Our proof does not appeal to Floer homology or the theory of [Formula: see text]-holomorphic curves. An appendix written by Shelukhin contains a new proof of the Smith-type inequality for barcodes of Hamiltonian diffeomorphisms that arise from Floer theory, which lends itself to adaptation to the setting of generating functions.
Transportation of heat and mass in chemically reacted flow of third-grade model in the presence of heat generation/absorption and activation energy effects
Authors: Alzahrani Faris , Kumar R. Naveen , Prasannakumara B. C. , Khan M. Ijaz , Guedri Kamel
Published: August 2022

Numerous industrial and technical dynamic applications of non-Newtonian liquid flow research in thermal and process engineering are increasing every day, owing to their multifunctional relevance. The viscometric flow, heat and mass transfer of an incompressible third-grade liquid model across an exponentially inclined plate according to all of these potential implications are studied in this paper. The inclusion of elements such as mixed convection, heat sink/source, activation energy, thermal heat flux and chemical reaction improves the flow model’s novelty. Using the appropriate similarity transformations, the existing governing expressions are transmuted into nonlinear ordinary differential equations (ODEs). The resulting nonlinear ODEs are numerically solved via the Runge–Kutta (RK) technique in conjunction with a shooting strategy. The dimensionless parameters are graphically illustrated and discussed for the involved profiles. The viscosity of the liquid drops for increased fluid variable, which enhances the velocity field. The velocity profile is declined continuously throughout the boundary layer with increasing buoyancy ratio parameter. The thermal profile inclines for growing values of the radiation and heat source/sink parameters.
The significance of Magnetohydrodynamics sutterby nanofluid flow with concentration depending properties across stretching/ shrinking sheet and porosity
Authors: Ali Liaqat , Siddique Imran , Salamat Nadeem , Hussain Sajjad , Abdal Sohaib
Published: August 2022

In this study, the impact of activation energy and transiting parameters on the two-dimensional stagnation point flow of magnetized Sutterby nanofluid of nano-biofilm incorporating with microorganisms over the porous surface has been examined. Prior research suggests that both the fluid viscosity and thermal conductance are temperature-dependent. Also, the effects of solutal concentration on fluid viscosity, heat capacity and nanofluid properties have been elaborated. In recent years, numerous technical strategies comprising hydromagnetic fluxes and thermal intensification in porosity media, like molding, condenser heat exchanger, liquefied metal filtration, fusion control and nuclear reactor coolant, have been addressed. According to numerous empirical studies, the viscosity and thermal conductivity of the nanoparticles are largely dependent on the intensity of nanoparticles rather than the temperature. The classical RK-4 method with shooting technique has been used. The significance of involving parameters in the domains of heat, velocity, density and concentration has been illustrated. The effect of nondimensional parameters on the skin friction factor, Nusselt number and Sherwood number has been discussed. The nanoparticle density increases with the activating energy effects and thermophoresis factor and rapidly decreases for Lewis number and Brownian factor. The velocity, temperature and concentration profiles increase as the concentration-dependent properties do, but all physical quantities deteriorate for all concentration-varying factors.
EXPERIMENTAL INVESTIGATION ON THE PERFORMANCE OF COPPER-BASED MWCNT COMPOSITE ELECTRODE IN EDM
Authors: MANDAL PROSUN , MONDAL SUBHAS CHANDRA
Published: August 2022

In this paper, the copper (Cu)-based multi-wall carbon nanotube (MWCNT) composite tools were fabricated using electro-co-deposition method. The composite tools were prepared from different MWCNT concentrated (0.5, 0.75 and 1[Formula: see text]g/L) electrolytic solution and these tools were utilized in electro discharge machining (EDM). The experiments were performed with varying discharge currents. The results indicated that the incorporation of MWCNTs into the copper matrix greatly influenced the machining performances. A lower rate of tool wear and higher material removal rate (MRR) were observed for the copper-based MWCNT composite tools at different discharge currents. The highest tool wear rate (TWR) was reduced by 45.68% and the MRR was improved by 63% for the Cu-MWCNT (0.5[Formula: see text]g/L) composite tool compared to copper coated tool. At higher discharge current, smoother machined surfaces were generated using copper-based MWCNT composite tools compared to the copper tools. The SEM image exhibits that the micro-crack-free machined surfaces were produced by using copper-based MWCNT composite tools. The migration of tool material to the machined surface was also reduced for copper-based MWCNT composite tools.
Influence of Surface Functional Groups of ZnO Nanorods on the Performance of Cellulose Paper-Based Flexible Triboelectric Nanogenerator
Authors: Mayu Tai , Narzary Ringshar , Chekke Tani , Das Upamanyu , Bayan Sayan
Published: August 2022

We report on the fabrication of zinc oxide (ZnO) nanorod-based flexible, cost-effective single electrode triboelectric nanogenerator (STENG) on cellulose paper platform. In particular, the influence of surface functional groups of ZnO nanorods on the STENG output has been investigated. The STENG has been designed with chemically grown ZnO nanorod-coated paper as active triboelectric layer and Teflon/ Aluminum as counter triboelectric layer/ electrode. It has been found that post-annealing of nanorods at 125∘C improves the output voltage by twice compared to the pristine nanorods and delivers an output power of [Formula: see text]W/cm2. With annealing up to 125∘C, the optimal removal of the chemisorbed water from the defect sites of ZnO surface increases the intrinsic carrier concentration leading to maximum charge transfer and hence higher triboelectric output. On the other hand, a higher extent of oxygen accumulation from air at 150∘C lowers the intrinsic carrier concentration resulting in the reduced output. It has been proposed that the competition between the events like water removal and oxygen accumulation under different annealing temperatures can influence the STENG output largely. Finally, the optimized STENG has been demonstrated to work as wearable bio-mechanical sensors operating through bio-mechanical stimuli.
Quantum state tomography of multi-qubit systems — a comparative study
Authors: Pan Chengwei , Zhang Jiaoyang , Cong Shuang , Harraz Sajede
Published: August 2022

Multi-qubit state tomography is a key problem in quantum information technology, which has been studied extensively. In this work, we focus on multi-qubit state tomography based on neural network estimators and typical conventional estimation approaches. For multi-qubit pure states, fully connected neural networks and restricted Boltzmann machine networks are designed, respectively, to carry out state tomography of 2-qubit (low-dimensional) systems and 5-qubit (high-dimensional) systems. Comparisons are made with maximum likelihood estimation and least squares estimation, where performance indicators are selected as reconstruction accuracy, time cost and the number of parameters. Simulation results indicate that intelligent approaches have significant advantages over conventional approaches for state tomography of low-dimensional systems; for high-dimensional systems, however, the conventional approach is still dominant when the measurement is complete, while the restricted Boltzmann machine network can achieve higher reconstruction accuracy when the measurement is incomplete.
Dynamics of axial geometry in Palatini f(R) gravity
Authors: Bhatti M. Z. , Yousaf Z. , Tariq Z.
Published: August 2022

Employing the Palatini version of [Formula: see text] gravity theory ([Formula: see text] being the Ricci scalar), this paper describes the evolution of a radiating axially symmetric fluid and its changeover to a non-radiating state. Orthonormal tetrad formalism is taken into account because this technique is easier to use and yields simple tensors leaving the predictions of the theory unchanged. Effective tetrad components of the heat flux, the vorticity vector and the shear tensor are evaluated along with the two parts (electric and magnetic) of Weyl curvature tensor. Furthermore, certain structure scalars are procured from the orthogonal division of the Riemann tensor to figure out basic characteristics of the fluid source like the energy density, stress anisotropy and the heat flux. Few differential equations are worked out to gain insight into the consistency of modified field equations while the system transits from its radiating to equilibrium state.
An efficient dual classification support using ISPCE and IRR-GCBANN techniques for detection of thyroid disease
Authors: Shalini L. , Kuppusamy Vijayakumar
Published: August 2022

The thyroid gland generates hormones to influence human body metabolism. A proper analysis of thyroid glands functional data is needed for Thyroid Disease (TD) diagnosis. Detecting the TD early is a crucial issue. Disparate alternatives approach was generated for it over time, but inaccurate detection of TD remains. Thus, aimed at detecting TD, the work renders an effectual dual classification framework. The framework was split into seven phases. Initially, to convert the string data into a numerical value, data numeralization is performed. After that, preprocessing is executed, which processes the missing value by means of taking the average and eliminating the repeated data. Next, so as to scale the entire data into a single unit, normalization is carried out. And the essential features are extracted, and Modified Discrete Salp Swarm Algorithm (MDSSA) Features Selection (FS) technique is developed in order to get rid of relevant features. Currently, an Improved Sign Preserving Cluster Ensemble (ISPCE) is proposed to cluster the chosen features accurately. It clusters the TD utilizing base clusters and lessens the decision graph complications, time intricacy, etc. Finally, the clustered features are inputted to Improved Raven Roosting Optimization Algorithm with Gradient Cats Boost Artificial Neural Network (IRR-GCBANN) for classifying the TD as hypothyroidism, hyperthyroidism, or normal. Experimental outcomes exhibit that the proposed framework attains 96.94% accuracy for detecting the TD when weighted against the existent techniques.
Modeling and Quantitative Evaluation Method of Environmental Complexity for Measuring Autonomous Capabilities of Military Unmanned Ground Vehicles
Authors: Wu Shaobin , Li Shihao , Gong Jianwei , Yan Zexin
Published: August 2022

This paper proposes a sampling-based multi-dimensional entropy hierarchical evaluation method to evaluate the environmental complexity for measuring autonomous capabilities of military unmanned ground vehicles. Through establishing the multi-dimensional environment model, the complexity of environmental elements in various dimensions is measured by combining the analytic hierarchy process and the improved gravitational field model. Based on the graph entropy and the environment segmentation sampling strategy, the environmental complexity is comprehensively evaluated from the two perspectives of the objective complexity of the environmental structure and the subjective complexity of environmental characteristics. The evaluation of the actual test environment shows that the environmental complexity evaluation model can effectively reflect the individual complexity differences of environmental elements, and achieve the comprehensive complexity evaluation of the environment including multiple test scenarios, which provides a basis for the test scenario design and measuring autonomous capabilities of military unmanned ground vehicles.
COVID-19 Infection-Related Thyrotoxic Hypokalemic Periodic Paralysis
Authors: Fitriani Fadlila , Susanti Vina Yanti , Ikhsan Mohammad Robikhul
Published: August 2022

SARS-CoV-2 infection induces the dysfunction of many organs including the thyroid gland through the role of ACE2 receptors as well as the consequences of the cytokine storm. Thyroid diseases such as subacute thyroidism, Graves’ disease, thyrotoxicosis, and Hashimoto’s thyroiditis have been documented in patients with SARS-CoV-2 infection. However, there are limited reports about the consequences of SARS-CoV-2 infection-related thyroid complications. We describe a case of man who was admitted to the emergency department due to repeated lower limb weakness since diagnosed with COVID-19. He had refractory hypokalemia and was treated with potassium replacement therapy for 2 months. However, the complaints continued. The patient has no history of thyroid disease, yet the laboratory result showed hyperthyroidism. Accordingly, he received oral thiamazole. As the laboratory parameters of the thyroid hormones improved, potassium levels returned to normal and the limb weakness stopped. This unusual thyroid complication should be considered in SARS-CoV-2 infection. The prompt diagnosis and appropriate therapy can reduce the burden of the disease.
Research on Institutional Investors and Executive Compensation Stickiness Based on Fixed Effect Model: A Case Study of Chinese Listed Companies
Authors: Hong Yizhao
Published: August 2022

Based on the relevant data of Chinese A-share listed companies from 2014 to 2018, this paper studies the relationship between institutional investors and executive compensation stickiness by using Excel and Stata15.0 software. By fixed effect model, the results show that the sensitivity of executive compensation to performance of listed companies in China is asymmetric, which means there is a sticky characteristic of executive compensation. With the continuous development of China capital market, institutional investors will significantly inhibit the stickiness of executive compensation; in addition, according to the degree of pressure sensitivity, institutional investors can be divided into bias-pressure-resistant institutional investors and bias-pressure-sensitive institutional investors, and the former has a stronger inhibition effect on executive compensation stickiness than the latter. Therefore, the participation of institutional investors can optimize the executive compensation system, thus further promoting the implementation of contract theory and the development of enterprises.
Voltage Stability Assessments and Their Improvement Using Optimal Placed Static Synchronous Compensator (STATCOM)
Authors: Wondie Tebeje Tesfaw , Tella Teshome Goa
Published: August 2022

In this paper, static voltage stability assessments and their improvement using analytical and optimization techniques with different loading scenarios are described. In this study, the 400 kV, 230 kV, and 132 kV Ethiopian electric power networks are modeled using Power System Analysis Toolbox (PSAT), and the load flow analysis is carried out using MATLAB source code. Then, different voltage stability indices, such as the user-defined advanced voltage stability index (AVSI), modified voltage stability index (MVSI), and fast voltage stability index (FVSI), are used to identify the voltage unstable buses. Besides this, particle swarm optimization (PSO) is also used to find the optimal size and placement of the Static Synchronous Compensator (STATCOM) for the most severe buses identified by voltage stability indices. The result presents three special arguments: whether the most severe buses that are ranked at the top based on the voltage stability indices are optimal buses for compensation placement or not, the voltage stability improvement, and power loss reduction with the introduction of STATCOM. Accordingly, it is observed that the weakest bus that is identified through the stability indices may not be the optimal placement of the compensation device. It is also indicated that, with the introduction of STATCOM to the optimal selected bus, the network power loss is reduced from 46.65 MW to 33.32 MW and its voltage magnitude in all buses is also improved. All bus voltages are within the IEEE standard acceptable limit.
Research on Translation of Chinese Medicine Constitution (Tizhi) Academic Terms: Based on Memetics and Delphi Method
Authors: Dong Siying , Zhao Zixuan , Li Wenle , Cai Yuyang , Zhang Ziling , Bai Minghua , Wang Ji
Published: August 2022

Background. With the continuous in-depth research of Chinese medicine constitution (tizhi) and the continuous expansion of cross research with new disciplines, internationalization will become the future trend of Chinese medicine constitution (tizhi). Translating the terms of Chinese medicine constitution (tizhi) into English is the first step for Chinese medicine constitution (tizhi) to go international. Language memes play an important role in information transmission in social interpersonal communication activities. The continuous replication and dissemination of translation memes make language spread and popularized. Because there is no fixed translation method at present, based on the particularity of Chinese medicine constitution (tizhi), we decided to use the Delphi method to complete the term translation research. Objective. The purpose of this study is to provide a standard and unified translation method for terms of traditional Chinese medicine (TCM) constitution with Chinese characteristics through the Delphi expert consultation strategy. Methods. Forward translation and expert consensus were conducted to complete this study. We sorted out the related terms of Chinese medicine constitution (tizhi) theory and invited an expert from the World Federation of Chinese Medicine Societies (WFCMS) to complete the initial forward translation. An expert of Chinese medicine constitution (tizhi) theory joined this process. Then, we invite relevant professionals to evaluate this translation version using the Delphi method. Results. Following a 3-round Delphi survey, the translation criteria of 61 (92.42%) terms were unified, and 5 terms resulted in no consensus and reached consensus on the translation method of Chinese medicine constitution (tizhi) theory. A major problem about how to translate “中医体质学” is identified. 25 experts participated in this study, and the drop-out rate is 0% in the 3-round Delphi survey. Translation challenges include the following: (1) translation methods of “Chinese medicine constitution (tizhi) theory”; (2) experts’ understanding deviation on the definitions of some terms. Conclusions. The average mode, full score ratio, standard deviation, coefficient of variation, and variation ratio of expert scores are analyzed. The diversity of regions and professional titles of experts shows that they have a high degree of authority. The scores of terms indicate the consistent of study results, so they can be used as a reference for the translation of Chinese medicine constitution (tizhi) theory.
Factors Affecting the Self‐Isolation Monitoring Program for COVID‐19 Patients at the Universitas Indonesia Hospital
Authors: Hidayat Rakhmad , Djuliannisaa Zlatikha , Mustika Alyssa Putri , Fathi Gemia Clarisa , Aini Muhammad Hafiz , Wardani Wahyu Ika , Anindita Assifa Swasti , Azizah Siti , Giantini Astuti , Putra Muhammad Arza
Published: August 2022

When the outbreak of the COVID‐19 delta variant occurred in June 2021, there was a marked increase in Indonesia’s number of self‐isolated patients. The Universitas Indonesia Hospital provided a One‐Stop Service (OSS) to monitor COVID‐19 patients on self‐isolation. This study was conducted to determine the effectiveness of the self‐isolation monitoring performed by hospitals and the factors that determined the outcomes of patients on self‐isolation. This study was conducted using a cross‐sectional method based on secondary data from electronic medical records. Data analysis was performed by determining the relationship of patient risk factors and characteristics with COVID‐19 outcomes. The study found that poorer symptoms, administration of antibiotics, absence of shortness of breath, and normal ALT levels significantly improved the outcome of OSS patients. The study also suggested that during monitoring of patients on COVID‐19 self‐isolation, chest/thorax radiography is necessary. The self‐isolation monitoring program is essential to observe the patient’s condition and evaluate the possibility of deteriorating conditions that could lead to admission decisions in the early or middle stages of the program. This will be beneficial during pandemic emergencies.
Study on Instability Mechanism and Support Scheme of the Tunnel Face in Carbonaceous Phyllite Stratum under High Geo‐Stress
Authors: Pu Song , Yu Tao , Ye Laibin , Liao Hang , Fang Yong , Yao Zhigang , Wang Jun
Published: August 2022

The tunnel face collapses easily during tunnel construction in weak surrounding rock under high geo‐stress. Identifying the instability mechanism of the face and proposing targeted control measures are of great importance to prevent the collapse of the face. Using the setting of the carbonaceous phyllite stratum of the Baima tunnel, a FLAC3D‐PFC3D coupled model is used to analyze the influential factors on the stability of the face and optimize the original support scheme. The results show that the instability of the face is rooted in the collapse of the rock above the face, and the bench method with short cycle footage is more conducive to the stability of the face. Compared with single support mode of advanced small pipes, the combined support scheme of long bolts and small pipes can better control the displacement of the surrounding rock and prevent the collapse of the tunnel face. The numerical simulation and field surrounding rock monitoring results verify the rationality of the excavation method, the cycle footage, and the support system. This finding will be of great significance to guide design and construction in weak surrounding rock.
Integrated Management of Late Blight Potato (Phytophthora infestans, (Mont) de Bary) Disease through Potato Varieties and Fungicides in Lay-Armachiho District, Ethiopia
Authors: Teshome Zewdu , Sintayehu Asefa , Zeleke Asefa
Published: August 2022

Potato (Solanum tuberosum L.) is an important source of livelihood for smallholder farmers of north-western Ethiopia. However, its productivity is markedly low due to late blight disease caused by Phytophthora infestans. The objective of this study was to evaluate the integrated use of potato varieties and fungicides for the management of late blight disease. Field experiment was conducted in Lay-Armachiho district during the main potato cropping season of 2018. The experiment consisted of twelve treatments as factorial combinations of two synthetic fungicides (Ridomil and Mancozeb) and untreated check with four potato varieties (three improved varieties, namely, Jalene, Gudene, Belete, and Local variety) was laid out in RCBD design with three replications. Disease incidence, severity, AUDPC, yield, and yield components were analyzed using SAS software (version 9.1) at

P
<
0.05

to separate treatment means. Fungicide sprayed treatments significantly reduced late blight epidemics and increased potato tuber yield on the Belete variety. The lowest disease severity (38.50%) and AUDPC values (761.02% unit-days) were recorded on Belete variety when sprayed with Ridomil fungicide. Late blight disease severity, incidence, AUDPC, and disease progress rate were reduced more in Belete variety than in the other three varieties. The highest disease severity (91.40%) and lowest yield (10.63 ton·ha−1) were recorded from the local control plot with a clear significance difference as compared to other treated plots. This study revealed that the application of Ridomil fungicide with the combination of Belete variety was effective in controlling late blight potato disease with the highest cost-benefit advantage.
High‐Accurate Numerical Schemes for Black–Scholes Models with Sensitivity Analysis
Authors: Bhowmik Samir Kumar , Khan Jakobin Alam
Published: August 2022

The significance of both the linear and nonlinear Black‐Scholes partial differential equation model is huge in the field of financial analysis. In most cases, the exact solution to such a nonlinear problem is very hard to obtain, and in some cases, it is impossible to get an exact solution to such models. In this study, both the linear and the nonlinear Black‐Scholes models are investigated. This research mainly focuses on the numerical approximations of the Black‐Scholes (BS) model with sensitivity analysis of the parameters. It is to note that most applied researchers use finite difference and finite element‐based schemes to approximate the BS model. Thus, an urge for a high accurate numerical scheme that needs fewer grids/nodes is huge. In this study, we aim to approximate and analyze the models using two such higher‐order schemes. To be specific, the Chebyshev spectral method and the differential quadrature method are employed to approximate the BS models to see the efficiency of such highly accurate schemes for the option pricing model. First, we approximate the model using the mentioned methods. Then, we move on to use the numerical results to analyze different aspects of stock market through sensitivity analysis. All the numerical schemes have been illustrated through some graphics and relevant discussions. We finish the study with some concluding remarks.
Common Best Proximity Point Theorems for Generalized Proximal Weakly Contractive Mappings in b-Metric Space
Authors: Gebru Yohannes , Negede Yitages
Published: August 2022

In this paper, common best proximity point theorems for weakly contractive mapping in b-metric spaces in the cases of nonself-mappings are proved; we introduced the notion of generalized proximal weakly contractive mappings in b-metric spaces and proved the existence and uniqueness of common best proximity point for these mappings in complete b-metric spaces. We also included some supporting examples that our finding is more generalized with the references we used.
Integrating the Big Data in Sports and Resource Interaction Using Artificial Neural Network
Authors: Zhang Tong
Published: August 2022

Big data is the result of balancing computing power with the need for large, rapidly updated, and comprehensive datasets and is now widely used in urban planning, medicine, and other fields. With the advent of the era of big data, the sports industry must also adapt to this change. The era of big data brings new ideas to the development of sports resource interaction. At the same time, the demand for a high-efficiency and high-performance sports big data integration system is imminent. The interaction between college sports and community sports realizes the improvement of the practical ability of the two institutions and departments through the satisfaction of people’s own needs. And it affects people’s lifelong sports and health by improving external conditions to internal factors. It improves the quality of life and maintains social stability and peace, thereby ensuring the better development of the university and the community. At present, the speed of data integration in the sports big data integration system is relatively slow. In order to solve this problem, this study introduces BP neural network in the artificial neural network. It introduces the concept of the neural network and its related formulas in detail. By using the BP neural network classification algorithm for data classification integration, this study conducts training and performance testing of the network. It links the extraction, transformation, and loading of data. The experimental results show that when the number of databases is 2, 4, 6, and 8, the time taken to load data by the system in this study is 113 s, 87 s, 64 s, and 42 s, respectively. It can be seen that the system in this study has obvious advantages in data loading compared with the data integration system of the existing system data warehouse. The system data query designed in this study is more efficient and consumes less time.
Research on High-Speed Railway Communication Strategy Based on LIFI Technology
Authors: Chen Tingting , Hu Weiwei
Published: August 2022

In order to improve the effect of high-speed railway communication, this paper studies the high-speed railway communication strategy combined with LIFI technology and improves the effect of high-speed railway communication through intelligent communication methods. Moreover, this paper studies the access point allocation problem in indoor LiFi/WiFi hybrid network, fully considers the dynamic change of network load, and introduces a dynamic load balancing algorithm that determines AP allocation in hybrid network based on the data transmission rate as the switching threshold. In addition, this paper proposes two AP allocation methods, such as dynamic switching threshold and minimum data rate constraint, to construct a reliable high-speed railway communication model. The experimental results verify that the high-speed railway communication strategy based on LIFI technology proposed in this paper can effectively improve the high-speed railway communication effect.
Computer-Assisted Language Learning and English Learning in Cihan University: A Mixed-Methods Study
Authors: Vadivel Balachandran , Khalil Nawroz Ramadan , Asif Muhammad , Ajanil Bemnet
Published: August 2022

The total research work is prepared to present the idea about the implementation of computer-based technology for learning the English language. English is a global language and is highly required to be learnt whether as a second language or first. Research has been performed about the same issue. The cynosure for the whole research will be to understand different methods to boost the English learning procedure. The significant viewpoints of different writers and researchers can be highlighted easily in this research. A mixed methodology is followed up in this research work so that a result related to the study can be drawn. The different approach is being determined through a mixed approach for research for understanding the study. Teachers’ and students’ perspectives on learning the English language is being understood through this study. Data collection and analysis are performed in this study and a proper discussion is formed on its basis. This data analysis is performed for a certain number of individuals related to education, mainly students so that a view of a certain section of people can be drawn. Data analysis plays a major role in finding the results. Finally, the study presents a brief conclusion that determines the whole research and outcomes for the betterment of learning the English language.
Multiconvolutional Transfer Learning for 3D Brain Tumor Magnetic Resonance Images
Authors: Sangeetha S. K. B. , Muthukumaran V. , Deeba K. , Rajadurai Hariharan , Maheshwari V. , Dalu Gemmachis Teshite
Published: August 2022

The difficulty or cost of obtaining data or labels in applications like medical imaging has progressed less quickly. If deep learning techniques can be implemented reliably, automated workflows and more sophisticated analysis may be possible in previously unexplored areas of medical imaging. In addition, numerous characteristics of medical images, such as their high resolution, three-dimensional nature, and anatomical detail across multiple size scales, can increase the complexity of their analysis. This study employs multiconvolutional transfer learning (MCTL) for applying deep learning to small medical imaging datasets in an effort to address these issues. Multiconvolutional transfer learning is a model based on transfer learning that enables deep learning with small datasets. In order to learn new features on a smaller target dataset, an initial baseline is used in the transfer learning process. In this study, 3D MRI images of brain tumors are classified using a convolutional autoencoder method. In order to use unenhanced Magnetic Resonance Imaging (MRI) for clinical diagnosis, expensive and invasive contrast-enhancing procedures must be performed. MCTL has been shown to increase accuracy by 1.5%, indicating that small targets are more easily detected with MCTL. This research can be applied to a wide range of medical imaging and diagnostic procedures, including improving the accuracy of brain tumor severity diagnosis through the use of MRI.
Prediction of the Normalized COVID-19 Epidemic Prevention Costs of Construction Projects Based on an Optimized Neural Network
Authors: Yan Huadong , Feng Jingchun , Chen Xu
Published: August 2022

During the COVID-19 epidemic, the Chinese central government adopted a dynamic clearing prevention and control strategy. Meanwhile, most local governments issued policies to incorporate normal epidemic prevention costs into the costs of construction projects. However, there are few provisions on how to determine the calculation standards for these costs. To accurately predict the normalized epidemic prevention costs of construction projects from different aspects, the relevant factors that affect epidemic prevention costs are investigated and an optimized neural network prediction method that can effectively eliminate abnormal data with a too large deviation is proposed. The results show that compared with the traditional backpropagation (BP) neural network and BP neural networks optimized by genetic algorithm, the error of the optimized neural network achieves a smaller error in predicting the normalized epidemic prevention costs of construction projects (the average error of the traditional BP neural networks is 6%). Meanwhile, among the factors that affect epidemic prevention costs, total investment, project category, and construction scale have the greatest impact. Based on the research results, this paper proposes pricing suggestions and corresponding management solutions for the epidemic prevention costs of construction projects, which will be helpful to project managers.
Oscillation Criteria of Fourth-Order Differential Equations with Delay Terms
Authors: Balatta Shoura Ahmed , Hashim Ishak , Bataineh Ahmad Sami , Ismail Eddie Shahril
Published: August 2022

The aim of this paper is to derive oscillation criteria of the following fourth-order differential equation with delay term

r

x

z

′
′
′

x

γ

′

+

∑

i
=
1

n

q

i

x

f

z

η

i

x

=
0

, under the assumption

∫

x

0

∞

r

−
1
/
γ

s

d
s
=
∞
.

The results are based on comparison with the oscillatory behaviour of second-order delay equations and the generalised Riccati transformation. Not only do the provided theorems provide an entirely new technique but also they vastly improve on a number of previously published conclusions. We give three examples to illustrate our findings.
A Classification Method for National Culture Propagation Using Deep Learning
Authors: Huang Jieguan
Published: August 2022

This paper combines the artificial intelligence (AI) and deep leaning technologies to classify the spread of national culture. First, we use the Python language to build a crawler technology in order to obtain the sample data of national culture from authoritative websites. Then, we use the natural language processing (NLP) expertise to analyze and preprocess the text of national diversity. In this way, we realize vectorization and the feature word extraction of the text related to national cultural resources based on the doc2vec technology. The vectorized texts of national cultural resources are clustered based on the K-means clustering technique. Moreover, the elbow rule process is implemented to determine the optimal number of clustering clusters. Finally, the text association relationship of the national cultural resources is obtained. Moreover, this paper adopts the unsupervised training method, which can reveal the semantic information contained in the text of national cultural resources. This can also help us during the identification process of the category connection amongst the texts of national cultural resources and provide us with methodological support for the gathering, storing, and other smart services of enormous national cultural resources. The outcomes demonstrate that the correctness rate of the suggested algorithm is greater than the accuracy of the linear regression and can reach up to 80%.
Evaluation Technology of Students’ Learning Status in Chinese Classroom Based on Deep Learning
Authors: Li Na
Published: August 2022

The evaluation of students’ learning status has a strong guiding role. What is taken as the evaluation standard will determine what education teaches and what students learn. As a basic subject and a lifelong art, Chinese in senior high school plays an important role in the college entrance examination; its importance can be imagined; and it has also attracted more and more attention. The assessment of students’ learning status can greatly promote students’ learning quality and values. However, the current evaluation of students’ learning status still has the score-oriented problem, and lacks enough attention to students’ interests, skills, potential, thinking, values, and other aspects, which is worrying. The function of Chinese evaluation has been narrowed to evaluate students’ knowledge and skills, and it has been euphemistically called the focus of classroom teaching. In Chinese class, the role of students’ learning status assessment has received a lot of attention, and it should play more roles in promoting students’ deep learning, so as to improve the thinking quality of learning and find appropriate learning methods. Deep learning requires students to have strong autonomous learning ability and problem-solving ability, etc. Students will benefit from developing these good habits in their future work and life.
A Santa Casa de Misericórdia do Maranhão e a concessão de dotas às moças órfãs e pobres no século XIX
Authors: Caldas Ana Caroline Silva
Published: August 2022

A Santa Casa de Misericórdia, criada em 1498 na cidade de Lisboa, foi responsável no cuidado dos vulneráveis, envolvendo significativa parcela da população. As práticas caritativas possibilitaram a assistência em diversas esferas, como a hospitalar, funerária e financeira. Dentre as atividades, a Santa Casa se destacou no cuidado de mulheres com a criação de recolhimentos femininos e Casas, tornando-se uma prática além das fronteiras portuguesas. Com a expansão para o Ultramar, em São Luís do Maranhão a Misericórdia remonta ao período colonial, possuindo maior relevância para a sociedade a partir do século XIX, momento da fundação da Casa dos Expostos, destinados a acolher recém-nascidos e crianças abandonadas ou entregues a instituição, oferecendo educação a ambos os sexos e a possibilidade do dote caso as mulheres fossem ao altar, que ao longo da trajetória feminina na irmandade foram inúmeros os percalços.  Dessa forma, o presente artigo versa sobre a concessão de dotes na instituição da Santa Casa de Misericórdia do Maranhão, utilizando como fontes os jornais do século XIX, disponibilizados pela Biblioteca Nacional Digital, possibilitando analisar as problemáticas referentes a significância do dote em São Luís, o fardo para a irmandade em cuidar das expostas e o contato com o Recolhimento de Nossa Senhora da Anunciação e Remédios. Conectados, esses fatores tornavam a situação das mulheres pobres à mercê do casamento ou trabalho, visto que a busca para saírem dotadas dos estabelecimentos possuía prazo de validade.
A trajetória de Adélia Sampaio no cinema brasileiro (1984-2017): críticas à sociedade conservadora
Authors: Bijotti Catarina Silva
Published: August 2022

Este artigo tem como objetivo tratar de dois filmes da cineasta Adélia Sampaio, o longa-metragem Amor Maldito (1984) e o curta-metragem O mundo de dentro (2017). A cineasta foi a primeira mulher negra a dirigir um longa-metragem no Brasil, que teve o mérito de tratar de um tema tabu no cinema brasileiro: o relacionamento entre duas mulheres. O curta-metragem é um monólogo que tem como objetivo refletir sobre a ditadura no Brasil e nossa política contemporânea. Partindo de uma análise fílmica proposta por Morettin (2003), a pesquisa usa os filmes como suas fontes principais para compreender sua época. Pretendemos compreender o cinema brasileiro no período a partir da trajetória de Sampaio. Verificaremos como nos filmes existe uma forte crítica à moral da sociedade brasileira e a presença de um certo pessimismo em relação a este cenário.
As imagens dos reis no Libro de las leyes fechas por los reyes godos (Madrid, Biblioteca de la Fundación Lázaro Galdiano, Mss. R14423)
Authors: Silva Vitor Eduardo Coghetto Vieira da
Published: August 2022

O presente artigo tem por objetivo analisar as imagens de reis que se encontram no manuscrito Libro de las leyes fechas por los reyes godos (Madrid, Biblioteca de la Fundación Lázaro Galdiano, Mss. R14423), uma cópia do século XIV do código de leis visigodo Liber Iudiciorum, compilado no século VII. Para tanto, em primeiro lugar é importante compreender o interesse pela cópia daquele código de leis e o uso do passado visigótico pela monarquia ibérica no período final da Idade Média. Em seguida, no que tange às imagens de reis, é necessário analisá-las em suas múltiplas funções no manuscrito, como elemento iconográfico e como ornamentação. Por um lado, elas exibem e legitimam o discurso de justiça e poder; por outro, como o conceito de ornamentalidade permite perceber, elas ajudam a ordenar e organizar o livro e o discurso.
Dostoiévski na Crise dos Naturalismos: uma análise crítica de O Duplo
Authors: Falcone Júlia Geiling Cardoso
Published: August 2022

Uma obra, seja ela de que espécie ou ramo artístico for, é sempre reflexo das representações, inquietações e movimentações pelas quais seu autor se depara em vida. Pode-se dizer, portanto, que uma obra é a concretização da percepção de seu autor sobre as próprias temporalidades, espacialidades e realidades em que está inserido. Sendo assim, é através de uma análise crítica da obra O Duplo, de Fiódor Dostoiévski, que o presente ensaio busca pensar problemáticas próprias do fin-de-siècle europeu (final do século XIX e início do XX) – como a chamada crise dos naturalismos e a emergência da consciência de sujeito –, como elas se apresentam e desenrolam no contexto russo de industrialização e modernização tardias, fazendo uma breve escala em Viena, e, por fim, como tais problemáticas são percebidas e representadas pelo autor da obra em questão.
Esquecer o passado, pacificar a nação: os sentidos de anistia na Folha de S. Paulo e no Jornal do Brasil (1978-1979)
Authors: Portella Vitor Guatelli
Published: August 2022

Este artigo pretende analisar, de forma comparativa, o conjunto de argumentos e representações que constituem sentidos de anistia nos editoriais e artigos de opinião da Folha de S. Paulo e do Jornal do Brasil, de fev. 1978 a dez. 1979. A análise da documentação partiu de preceitos teórico-metodológicos do campo historiográfico que compreendem a imprensa como um agente ativo na história: que constrói o seu discurso ideológico enquanto se faz como instituição social de representação da opinião pública. Nos editoriais, a FSP defende uma anistia ampla, geral e irrestrita - não a mesma dos CBAs - e o JB, uma restrita e limitada. Embora ambos tenham uma posição politicamente pragmática, a FSP defende um projeto mais amplo. Enquanto a FSP critica tanto o projeto da oposição quanto o do governo, o JB tem um alinhamento quase automático ao segundo. Os artigos de opinião aproximam-se e distanciam-se dos sentidos defendidos por cada linha editorial, mas todos defendem o pragmatismo político moderado em mediação com a ditadura. Em geral, a anistia é vista como medida de esquecimento necessária para a estabilidade institucional, a pacificação e a reconciliação nacional. Os jornais procuraram universalizar seu discurso liberal com o objetivo de se adequar à abertura política e às tensões entre governo e oposições.
O ensino de História no Liceu Provincial da Bahia: 1836-1890
Authors: Silva Ícaro Batista
Published: August 2022

O Presente estudo tem como objeto a História do Ensino de História na Bahia, tendo como campo empírico o Liceu Provincial, desde sua fundação em 1836 até 1890 quando é criado o Instituto Oficial de Ensino Secundário, no início da República, visando a substituição do Liceu. A razão para escrever este artigo reside na ausência de estudos sistematizados sobre a trajetória da disciplina história em território baiano, no ensino secundário, no século XIX. Assim, este trabalho está estruturado em três momentos: 1) discussão sobre o conceito de disciplina escolar; 2) como se deu a disciplinarização da história, no Brasil; 3) como protagonizou a disciplina história no Liceu Baiano. Assim, para realizar essa investigação foi necessário buscar fontes diversas para responder alguns questionamentos, recorro a documentos como relatórios presidenciais e de instrução pública da Província da Bahia, discursos políticos, revista de instrução pública do Estado e matéria jornalística. Portanto, a metodologia empregada para análise das fontes parte da proposta indiciário-dialógica, com base em Pinheiro (2015).
Thomas Paine e a independência das 13 colônias: uma análise de Common Sense
Authors: Paula Daniele de
Published: August 2022

Thomas Paine (1737 – 1809) teve um importante papel na independência dos Estados Unidos, seu panfleto Common Sense (1776) foi um dos mais populares do período e apresentou uma defesa sólida da necessidade da independência, causando grande impacto na sociedade norte americana. Contudo, Thomas Paine nunca recebeu o mesmo reconhecimento que os outros líderes da independência, conhecidos como “founding fathers” e suas obras são ainda pouco exploradas pela historiografia. Sendo assim, buscaremos lançar neste artigo um olhar para Common Sense, objetivando analisar sua argumentação e a sua importância para a independência das 13 colônias, além de efetuarmos algumas considerações sobre os possíveis motivos para o não reconhecimento de Paine. Para a análise do panfleto nos pautaremos primeiramente nas características deste gênero literário e a sua importância em contextos revolucionários e, posteriormente, analisaremos cada capítulo da obra, buscando compreendê-la, dentro de seu contexto histórico.