Reviewerly/exHarmony huggingface dataset:
On the Unification of the Precession of the Foucault Pendulum, the Earth’s “Precession” and the Mercury Precession by Constructing the Vortex Gravitational Mechanism

Gravitation is generated between static objects, while vortex gravity is generated between moving objects. Forming the integrity and completeness of gravity theory, these complement each other. The vortex gravity mechanism of moving objects is established to solve the objective problem of vortex gravity. The precession of Foucault’s pendulum, the precession of the Earth and the precession of Mercury are objective phenomena, for which there are many different explanations. The author suggests, only by the mechanism of vortex gravity can reveal their operation law and unity of operation. Through the analysis and calculation in this paper, the precession value of mercury produced by vortex gravity is 5025.6", which is different from the observed value 5600", the deviation is -10.26%. which also proves the rationality and effectiveness of establishing the mechanism of vortex gravity. Therefore, the explanation that Mercury precession is caused by planets such as earth is fetched and unreasonable. The establishment of vortex gravitation mechanism can generally solve the kinematic problems of vortex gravitation caused by the motion of objects in physics, geophysics and astronomy. Furthermore, the problem about the determination of the vortex gravitational field strength Bg and the vortex gravitational constant kg in the solar system is put forward. Vortex gravity is the attraction between moving objects, The construction of vortex gravity theory is construction of the basic theory.
Application of Blurred Image Processing and IoT Action Recognition in Sports Dance Sports Training

In order to process the blurred image, this study proposes to combine the blurred point functions in the invariant space into multiple blurred images and then restore them through the deconvolution operation. The PSF functions of the fuzzy invariant space are combined to obtain the fuzzy invariant space. Finally, a gradual restoration method is used to perform many blurred image processing steps. The experimental results prove that the method proposed in this study can avoid the noise introduced in the process of multiple deconvolutions, can reduce the calculation error, and can improve the recovery effect. Based on fuzzy image processing, this research studies the nature of human motion and the identification of actions in the Internet of Things, which provides new ideas and methods for recognition research. The Kinect somatosensory camera of the Internet of Things is used to capture deep images, and 20 three-dimensional points of the human skeleton structure are obtained through its SDK. Based on this, the motion characteristics of human joints were studied, and a motion resolution model suitable for the Internet of Things was proposed. The model has low complexity, simple calculation, and sorting characteristics. Based on this, this research study also uses software engineering ideas and general methods of system development to design and create sports dance management information systems and uses advanced methods such as computers and the Internet to maintain training management to achieve optimal sports training for sports dance mode and to provide information about the management of sports dance athletes training to improve efficiency and the management level.
Distribution matching and structure preservation for domain adaptation

Abstract Cross-domain classification refers to completing the corresponding classification task in a target domain which lacks label information, by exploring useful knowledge in a related source domain but with different data distribution. Domain adaptation can deal with such cross-domain classification, by reducing divergence of domains and transferring the relevant knowledge from the source to the target. To mine the discriminant information of the source domain samples and the geometric structure information of domains, and thus improve domain adaptation performance, this paper proposes a novel method involving distribution matching and structure preservation for domain adaptation (DMSP). First, it aligns the subspaces of the source domain and target domain on the Grassmann manifold; and learns the non-distorted embedded feature representations of the two domains. Second, in this embedded feature space, the empirical structure risk minimization method with distribution adaptation regularization and intra-domain graph regularization is used to learn an adaptive classifier, further adapting the source and target domains. Finally, we perform extensive experiments on widely used cross-domain classification datasets to validate the superiority of DMSP. The average classification accuracy of DMSP on these datasets is the highest compared with several state-of-the-art domain adaptation methods.
“Dimension Reduction: Feature Subset” Method for Selecting the Best Index Combination in Reputation Evaluation of Crowdsourcing Participants

An effective reputation evaluation mechanism is an essential guarantee for the crowdsourcing mode's healthy, orderly, and rapid development. Aiming at the problems of unsound reputation evaluation mechanism, single reputation evaluation index, and poor discrimination ability of crowdsourcing platforms a “dimension reduction feature subset” method for selecting the best reputation evaluation index combination of crowdsourcing participants is proposed. This method first selects the best dimensionality reduction method by empirical method, then uses the classifier as the evaluation function of feature selection, and uses the sequential backward selection strategy (SBS) to select the feature subset and reputation evaluation algorithm with the best classification performance. The experimental results show that the reputation evaluation method of crowdsourcing participants based on ReliefF-SVM has the best performance in terms of accuracy, F1 measure, and stability and can select a comprehensive, objective, and effective evaluation index combination to distinguish the reputation status of crowdsourcing participants.
Advances in Cloud Technologies and Future Trends

This chapter examines the cloud’s various service and deployment models. Cloud computing delivers computer services like databases, storage, virtual machines, and servers. Cloud reduces infrastructure and maintenance costs, allowing businesses to focus on core business processes. Cloud also allows users to efficiently pool resources. NIST recognizes three service models and three deployment models. Service models include Infrastructure-as-a-Service, Platform-as-a-Service, and Software-as-a-Service). Public, private, community, and hybrid clouds are available. This study paper elaborates on these models, as well as other models provided by the cloud and service providers. Traditional application integration technologies are rigid and slow, requiring professional developers and domain experts to build and deploy. To support on-demand services like computation, software, and data access, cloud computing promises to dynamically schedule bandwidth, storage, and compute resources without requiring end-user knowledge of physical location or system configuration. And virtualization has gained prominence in the field of abstraction and resource management since the advent of cloud computing and Infrastructure-as-a-Service. In a cloud environment where everything is pay-per-use. These issues are addressed by containers, which are seen as the future of virtualization. This research compares the performance of a traditional virtual machine to that of containers.
Blockchain Based Privacy and Security Across Cloud in Electric Vehicle Application for Sustainable Development in Industry, Innovation and Infrastructure

Purpose: In this paper we utilise electric vehicle-based cloud edge (EVCE) computing, it is possible to integrate vehicle contexts in a seamless manner. With the increasing use of electric vehicles (EVs) in V2X, this is likely to become a trend. When it comes to information and energy exchanges, a hybrid cloud/edge computing system with EVs as a potential resource infrastructure presents considerable security challenges. In order to find context-aware vehicular applications, the viewpoints of information and energy interactions are taken into consideration. The use of distributed consensus has resulted in the creation of blockchain-inspired energy and data coins, which use the frequency of data contributions and the amount of energy contributions to demonstrate the proof of work for each coin. When it comes to protecting vehicle interactions, the industry, innovation, and infrastructure sectors of Envision2030 are confronted with a number of different security alternatives. Design/Methodology/Approach: The EVCE computing for mobile cloud architecture to the electric vehicle acting as the edges across the network. The unutilised energy resources, and communication and computational resources of EVs are pooled together and used for other purposes. Mobile cloudlets for electric vehicles are created using VANETs and other interconnected services that gets connected together. When EVs are parked for extended periods of time in different locations, they form a cooperative network of services. Incorporating flexible connected EVs into traditional cloud infrastructures enables contact with remote service providers, local area networks (LANs), as well as other organisations, while operating in the cloud computing mode. Findings/Result: The primary purpose of a blockchain application is to maintain a record of all of the transactions that have been made by the various members of the network. After the submitted transactions have been confirmed and arranged, a block is formed, and the outcomes of the transactions are put on the blockchain as transaction results. Originality/Value: When it comes to transactions, HLF three-stage revolutionary design, dubbed execute-order-validate, is reliant on the preceding steps of the transaction to function properly. Because the actual throughput is close to 100%, a 100 TPS transmit rate is achievable and sustainable Paper Type: Experimental Research
Research and Design of Hexagonal Gaming System

In recent years, Hexagonal chess has gradually appeared in various machine gaming competitions, and is popular among the public because of its simple and fair game rules. In this system, a computer game program is studied and designed with Hexagonal Chess as the object of study. In order to further improve the search speed of the algorithm, the UCT algorithm is used in this paper. This algorithm not only improves the search time of Monte Carlo tree algorithm, but also improves the performance of the algorithm in space.
A Review of Factors Influencing Business Communication Channels During Pandemic

Effective communication is key in business to improve performance.A key success factor in achieving communication effectiveness is the channel selection made by the business.When channels are effectively applied, it results in a higher degree of engagement which then boosts productivity and through that leads to business success.Social distancing strategies during the Covid-19 crisis create barriers to communication.Businesses would need to plan on the best communication channels in times of crisis for continuing business and should a similar crisis recur.This paper examines the available evidence on the most used communication channel by businesses during the pandemic crisis year 2020 and examines the factors influencing the choice.We conducted a literature review, searching related articles from Scopus and Web of Science databases and the Google Scholar search engine.The review showed that the most used communication channel is digital platforms namely email, social media, websites, and television.We identified three categories of factors influencing business communication channel choice: (1) Information effectiveness; (2) Business networking; and(3) User literacy.Given the changing preference of people along with the evolving technology, we hope to offer some insight for a better plan of communication that would enhance the effectiveness of business communication to have a high-quality business.
Visual Communication of Potential Anomalies with Boundary Lines in ISS Mission Control

Boundary lines for telemetry data have been used widely among International Space Station (ISS) flight controllers on their displays. These programmable lines are used as important references to aid in anomaly detection and response. Investigating how ISS flight controllers currently use boundary lines helps us understand how potentially anomalous data is handled under conditions of uncertainty and ambiguity. In future deep space exploration missions, anomalies are expected to occur despite our best efforts to avoid them. As crews get farther away from Earth, significant communication delays will be inevitable, and as real-time support becomes less practical, more responsibility will need to be placed on autonomous monitoring and anomaly response. It is unclear what role visualization might play in situation awareness for these future missions. Can visualization techniques be used to alert users to potentially worrisome data values when continuous monitoring is not possible?
Construction of Information Service System for the Elderly Based on Cloud Computing

With the advent of an aging society, the absolute number of the elderly has accounted for a considerable proportion of the social population. With the development and listing of Internet technology and mobile devices, it has become a social trend to send and receive information through handheld terminals, servers, personal computers and other platforms, and mobile information came into being. However, due to their physical conditions, the elderly in vulnerable groups can not easily access information and participate in social communication better. Obtaining mobile information with real-time efficiency through mobile devices just solves this problem and meets their needs to a large extent. Based on cloud computing and big data, this paper investigates the information services of many large communities, analyzes and summarizes the problems in the information services of the elderly in the community by synthesizing the information needs of 500 elderly people. According to the analysis results, an information service model for the elderly is proposed. The calculation results show that the general information service architecture based on cloud computing can reduce the payment cost of information services by about 31.22%.
Application of Blockchain and Distributed Storage Technology

With the rapid development of Internet technology, enterprise-level storage and cloud storage have become the standard tools for enterprises to meet their computing and storage needs. Due to the defects of traditional decentralized data storage system, blockchain and distributed storage technology has been widely applied to the modern enterprises. Blockchain storage refers to a decentralized storage system built with blockchain incentives, which is an effective combination of blockchain and storage system. There are many achievements and various breakthroughs in this field and both theoretical and applied research have developed rapidly. This paper discussed the research progress on blockchain and distributed storage technology. In addition, the advantages of blockchain storage technology were also discussed. Blockchain storage can effectively avoid the negative impact of a single point of failure. It can improve availability by distributing the load to nodes around the world. Last but not least, the applications for blockchain and distributed storage technology such as data storage, money transfers, and financial exchanges were discussed. The current knowledge, and perspectives of blockchain and distributed storage technology in modern enterprises could provide a good reference for the future research.
A Comprehensive Survey on Human Activity Recognition Using Sensing Technology

With the rapid development of machine learning technology and the popularity of various electronic devices such as smartphones and smart bracelets, sensor technology has been applied to all aspects of human society. On this basis, HAR already plays an important role in various fields including sports and the military. In the medical field, particularly, HAR is gaining increasing recognitions by researchers to be one of the main technologies for future behavioral detection in the elderly. The application of HAR technology allows users to identify human behavior through applications equipped with specific sensors, reducing human costs. This survey sorted out the published articles related to HAR research in recent years, provided an analysis of the background, applications, and advantages and disadvantages of sensing technologies, and made a brief exposition of the HAR process.
Predict the Therapeutic Effect of Bevacizumab Treatment Using a Channel Attention Convolution Neural Network

One of the malignancies with the highest mortality rates among women worldwide is ovarian cancer. Epithelial ovarian cancer (EOC) is the most common kind of ovarian cancer which takes ~90% of ovarian cancer patients. peritoneal serous surface papillary carcinoma (PSPC) is rare cancer whose incident rate is 7% in women. Bevacizumab has been used as a monotherapy along with chemotherapy to treat advanced EOC and PSPC. Bevacizumab has a significant effect on chemotherapy, however, due to the high cost and side effects of the bevacizumab, how to predict the therapeutic effect of Bevacizumab treatment is very important. In this paper, the author uses the proposed attention module, ECA, embedding to the ResNet, compose as ECA-Net, to predict the treatment effect of the bevacizumab in current tissue is effective or invalid through the histopathological image. As a result, the ECA-Net gained novel performance, scoring highly on several evaluation metrics. Specifically, the classification accuracy of the ECA-Net is 94.54% and the f1 score is 95.00%. Bevacizumab is pricey and has side effects, the classification model will forecast its therapeutic impact. In this situation, the experiment will assist the gynecologist in selecting the best course of therapy while also saving money.
ON SOME PATTERNS OF TNAF FOR SCALAR MULTIPLICATION OVER KOBLITZ CURVE

A τ-adic non-adjacent form (TNAF) of an element α of the ring Z(τ) is an expansion whereby the digits are generated by iteratively dividing α by τ, allowing the remainders of -1,0 or 1. The application of TNAF as a multiplier of scalar multiplication (SM) on the Koblitz curve plays a key role in Elliptical Curve Cryptography (ECC). There are several patterns of TNAF (α) expansion in the form of [c0,0,…,0,cl-1 ], [c0,0,…,c(l-1)/2,…,0,c(l-1)], 2+2k, 3+4k, 5+4k and 8k1+8k2 that have been produced in prior work in the literature. However, the construction of their properties based upon pyramid number formulas such as Nichomacus’s theorem and Faulhaber’s formula remains to be rather complex. In this work, we derive such types of TNAF in a more concise manner by applying the power of Frobenius map (τm) based on v-simplex and arithmetic sequences.
Determinant Percieved Usefulness in Decision Making on Accrual Based Accounting in Indonesian Ministries

This study intends to investigate the impact of managerial ability, internal control effectiveness, and support from information technology on the quality of accrual accounting implementation and its effects on perceptions of utility in decision-making. In 87 ministries and institutions of the Republic of Indonesia, this research approach uses a survey that combines descriptive and verification analysis with units of analysis. The sort of data used comprises secondary and primary data, and it was tested using SEM and LISREL analysis strategy. The findings demonstrated that: information technology support, managerial competence, and the effectiveness of internal control have a positive effect on the quality of accrual accounting implementation; the quality of accrual accounting implementation has a positive impact on perceptions of usefulness in decision making; and information technology support, managerial competence, and the effectiveness of internal control have a positive impact on perceptions of the usefulness of accrual accounting application.&#x0D; Keyword: Information Technology Support; Managerial Competence; Effectiveness of Internal Control; Quality of Accrual Accounting Application; Perceived Usefulness in Decision Making
Use of augmented reality technologies in the framework of m-Learning at the Infantery Museum Marine Park

Abstract The research proposes to design a software to visualize the relevant information of historical military objects through augmented reality technology, contributing to the modernization of the museum, generating a more attractive and autonomous visit for visitors. The research is embodied in two phases. In the requirements phase, data collection instruments were implemented in order to identify the functional and non-functional requirements of the proposed system; In the design phase, the block diagram and flow diagram are modeled to outline the software architecture and illustrate the communication between the different technologies that make up the system. As a result, the structure and characteristics of a model that meets the needs of the Infantery Museum Marine Park was obtained. It is concluded that this model can contribute to the digitization, exhibition and appropriation of the cultural content exhibited in the different scenarios of the Infantery Museum Marine Park in its processes of transmission of knowledge about the various cultural heritages of the museum.
Utilising Gamification and Virtual Environments to Present Digitally Enhanced Advanced Services (DEAS) for the Financial Sector

Servitization offers a fresh opportunity for manufacturing and finance companies to incorporate additional services to the main product, as part of an extended maintenance scheme or for insurance purposes. Parametric insurance products based on new technological innovations in the financial sector related to weather risk management can potentially offer preferable and greater solutions for the construction industry in contrast to traditional insurance models. Such smart contract solutions/ policies can potentially aid the customers’ management of risks related to weather in a more effective manner, settle insurance claims faster and overcome some of the limitations associated with traditional insurance. However, these can be complex for customers and stakeholders to understand, limiting them to express their needs and see the true value of such DEAS offers. This paper presents a prototype Serious game application designed for the financial sector which enables the customers to experience a variety of construction scenarios and weather conditions that affect the progress and cost of the in-game building. Their choices, risks and results are presented in a two-fold gaming system that offers both a 3D Virtual Environment and the relevant information reflecting the appropriate offers. Preliminary results from a specialists’ focus group of ten users are presented and their results and feedback are discussed in the paper forming a future plan of development of similar applications for additional sectors that require Digitally Enhanced Advanced Services (DEAS).