Reviewerly/exHarmony huggingface dataset:
Pemberdayaan Anak dan Remaja dalam Pengoptimalan Taman Fontabaca sebagai Upaya Menumbuhkan Minat Literasi Membaca di Fontania Desa Tambun

The better the literacy of the people, the better the level of thinking and the achievement of the progress of the community in various aspects of life. However, in reality our current literacy culture is still low. Currently the partner has a side of the reading garden established in 2021 known as Fontabaca Park. But unfortunately, the establishment of a reading garden was not fully utilized by children and teenagers. This is exacerbated by the lack of reading material available in the reading garden. The lack of interest in reading or borrowing books is partly due to the lack of socialization related to literacy activities to children and adolescents in the Fontania region. The method of implementing activities starts from counseling, training, mentoring and evaluation. The results of each stage of the implementation activity start from the counseling activities carried out by analyzing the problem then continued with mapping the solutions provided for partners. Followed by providing training activities related to reading literacy and the formation of reading garden cadres. Mentoring activities are in the form of procurement of needed reading book materials and involving participants to label and collect reading books. Evaluation activities obtained an average percentage of 98% of the impact of activities carried out by the implementation team as an effort to optimize the existing Fontabaca park.&#x0D; &#x0D; Keywords: Children and Youth, Fontabaca, Cadres, Literacy, Reading, Reading Garden
EDUCATION 4.0: THE NEED OF TECHNOLOGY DRIVEN EDUCATION IN INDIA

Now a day, education pattern has brought more creation through the use of integrated technique to deal with the student's way of learning and gathering knowledge.In this global pandemic condition, maximum educational institutions shift to digital learning platform.Not the students get their benefits but also the people who are working in any industry like workers or employees they also get the opportunity to remove the shortcomings of industry 4.0 through the digital mode.We can reduce the wastage of time and enhances the productive more and more.And also get rid from black and white learning.In this paper an effort has been made to manage surveys via the set of questions to collect data from college institutions and industries and use of test to satisfy the hypothesis that education 4.0 is worth or not in present era?Based on the above response a proper analysis is done to use the education 4.0 in the real system.
TEACHING METHODS OF CREATING SCIENTIFIC STYLE TEXTS FOR MASTER AND PHD STUDENTS

Academic writing is an obligatory discipline of study in master's and doctoral studies. The assimilation of this subject should develop the student's skills to create analytical and scientific texts.&#x0D; Therefore, studying academic writing is part of the study of rules of the scientific community. These rules are learned step by step, by writing texts and discussing them with different readers, giving and receiving feedback.&#x0D; Collaborative peer-review, as a learning approach, is also useful as it strengthens feedback and collaboration skills. In many academic communities, texts are written by collaboration, and scientific publications go through a peer-review process in which experts in the field read and comment on manuscripts.&#x0D; Academic writing requires a review of previously done research. When searching for existing articles based on existing research, students should understand the methods of finding scientific works and be able to critically evaluate sources of information. The subject of the study and discipline largely determine which sources students should use in their work.&#x0D; The aim of teaching academic writing at the master's or doctoral level is to achieve a high quality of research papers submitted for the defense of the degree.&#x0D; The main task of the programs is also the development of research skills in students, teaching them to search for the information they need, such as:&#x0D; a) Viewing new literature on the subject (limiting the search to novelties) or visiting the library and locating the theme of interest in the catalogue;&#x0D; b) Performing a search for information related to the subject in the databases of libraries;&#x0D; c) Selection of interesting sources of information from references in the research literature that were found in databases;&#x0D; d) Acquaintance with the style of citation adopted in a particular program.&#x0D; Different topics may have their own citation practices, for which students receive guidance from program or librarians. It is recommended that you familiarize yourself with the practice of citing sources early in the writing process.&#x0D; Thus, the library is an indispensable resource for the formation of skills and training of students to create scientific texts.&#x0D; The Ilia State University used two teaching methods for master and PHD Students: Project method and Peer review method.&#x0D; The proposed article details the results of a study that compares the two teaching methods, their effectiveness and preference, as well as a comparison of the quality of written papers submitted for defense of the degree, after the training phase of both methods.
Innovation in teaching by applying neuro linguistic programming

NLP provides various alternatives in teaching and learning such as delivery and communication method based on basic human senses acceptance namely visual, auditory and kinesthetic. NLP application is capable in engaging enthusiasm and facilitates the learning and teaching process just as the information or knowledge has been successfully delivered, observed and understood by the student and consequently aiding an excellent academic achievement. This article discusses in brief the NLP usage to educators for an effective communication purpose and serves as the basis in introducing the advantage of using NLP during teaching and learning session. To provide exposure and as a catalyst in producing a comprehensive NLP model that focuses to the teaching and learning purpose in each IPTA and IPTS especially in Universiti Teknologi MARA.
A Web Service Clustering Method with Semantic Enhancement Based on RGPS and BTM

&lt;p&gt;In order to overcome the data sparsity problem in service description text and to improve the web service clustering quality, we propose a web service clustering method with semantic enhancement based on RGPS (Role-Goal-Process-Service) Framework and Bi-term Topic Model (BTM). First, we extend service description text&amp;rsquo;s feature according to RGPS meta-model framework. Also, we generate the service latent feature by BTM. Then, we employ K-means on the generated features. The results of experiments on service registry PWeb show that this method can get better clustering performance in purity and entropy. It is proved that this method has great efficiency compared with the baseline methods K-means, Agglomerative and LDA (Latent Dirichlet Allocation). This paper enhances the service clustering performance and creates foundation work for service organization and recommendation. &lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Securing Digital Ownership Using Non-Fungible Tokens(NFTs), an Application of BlockChain Technology

Non-Fungible Token(NFT) is the latest tech-jargon buzzing in IT Industry. The continuous work in the area of securing contents with BlockChain has given rise to Non-Fungible Tokens(NFTs). One of the major problems of digital assets is the claim of ownership, as to how to verify ownership of digital assets (like audios, music videos, digital art, streaming contents on the web, etc.) which is accessed/copied by billions. NFTs are unique and distinct from each other thus securing the ownership. These tokens are used to represent a digital asset and contain a proof of ownership. As the BlockChain technology grows, its applications have been designed, developed and deployed in a variety of industries. In this research, we intend to give an idea of NFT and related technology. Not only this, an effort has been made to explore Indian NFT marketplaces, and the process of selling and buying the NFTs has also been discussed.
Application Of Mobile Edge Computing &amp; Deep Learning In Mobile Blockchain For Security And Safty

Because of its dependability, transparency, and decentralized nature, blockchain technology is gaining more and more traction as a potential component of mobile application development. The high storage and compute requirements of crucial tasks, such as mining blockchains and using apps that need a lot of resources, may make it difficult for blockchain applications to run on mobile devices. We suggest a wireless edge computing-based blockchain networks to address this issue (MEC). A set of MUs function as miner in such system through wirelessly transmitting its information processing & mine tasks to a Service layer nearby. As a result, the tasks can be finished faster. We structure work dumping, client anonymity preservation, & miner income as a hybrid optimization problem that is treated as a Markov decision mechanism in order to reduce the program's long-term utility for job transferring and increase safety standards for all blockchain consumers. As a result, we can raise the bar for safety for every blockchain consumers. We first provide an unloading architecture for reinforcement learning (RL). Beginning with a reinforcement learning (RL) unloading architecture, we allow MUs to choose the best unloading options depending just on blockchain transactions statuses and the wifi range properties that occur among MUs with the MEC servers. We create a deep RL technique employing a deep Q more to enhance the transmitting capabilities for entrepreneurship blockchain apps. Despite any previous understanding of the mechanics of the device, this approach can solve a wide state field. The RL-based unloading methods that have been presented, based on the outcomes of both studies & models, offer a considerable gain to users’ confidentiality, reduce power usage and the quantity of time required for calculation, and do each of these while suffering the following costs:
Resource Preallocation Based on Long and Short Periods Combined Task Volume Prediction

With the rapid development of cloud computing, it is faced with many challenges, such as changing the amount of system tasks at any time and optimizing the allocation of resources at any time. This paper comprehensively considers the long-term regularity and short-term volatility of the system task volume, and proposes a prediction method combining the long and short periods. This method uses the combination of GRU and ARIMA model to effectively model the regularity of traffic or task volume change. Users can adjust the model weight according to the task characteristics and types to get the predicted task volume, so as to reasonably allocate the system computing resources. The experiment shows that the prediction algorithm based on GRU and ARIMA model has high prediction accuracy, and can effectively improve the resource utilization efficiency, alleviate the pressure of computing nodes and improve the system throughput after being applied to the distributed resource pre-allocation management system.
The Concept of Digital Transformation in Educational Discourse

The article is devoted to the results of the study of modern educational discourse, the central aspect of which today is the topic of digital transformation. From the standpoint of cognitive-discursive analysis, the conceptual sphere of the concept of “digital transformation” in higher education is investigated, the key concepts of the area under consideration are highlighted, and the most significant ones are analyzed. Some obvious challenges in this process are identified, such as staffing imbalances, the need to take into account the virtues of traditional teaching approaches along with the acceleration of technological processes, increasing the level of digital maturity of the university and the strategic management of big data. There is a tendency to change the entire paradigm in education towards an ecosystem approach, which involves the evolution, renewal, interaction and interconnection of all components of the digital age in education.
Trusted Cloud Service Framework for Cloud Computing Security

Cloud computing is the pooling of several adaptive computing resources including servers, networks, storages, and services to provide users with convenient and timely access. IAM is a virtual server which manages user and resource rights and authorization. To control who has entry to what and how, IAM rules are collections of permissions that may be applied to either users or cloud resources. Cloud computing is an easily managed technology in which the apps we use are issued by a mysterious node that will never claim ownership but actually has full control over the application. The proliferation of personal computers and mobile devices across all industries has made secure data storage an urgent priority. There has been a recent explosion in the number of large and small firms investing in data infrastructure. Plus, they’re shelling out a lot of cash to keep the data secure. Using this approach to cloud computing significantly reduces the user’s dependence on hardware and software combinational models.
Effective Strategies for Resource Allocation and Scheduling in Cloud Computing

Cloud computing, the newest paradigm in distributed systems, and opens up vast possibilities for efficiently meeting demands without investing in costly infrastructure. In particular, IaaS clouds offer an accessible, flexible, and scalable infrastructure for the deployment of these scientific applications by giving users access to a virtually endless pool of resources that can be obtained, configured, and used on demand and charged on a pay-as-you-go basis. The main issue with cloud computing is the lack of resources. For cloud providers, managing resources is a challenging issue. To help they manage their resources efficiently and affordably, researchers offer their insightful recommendations. This paper proposes a number of methods for cutting down on scheduling-related expenses and lag time, as well as for making the most of available resources, meeting strict deadlines, and minimizing energy consumption—all without breaching service-level agreements. Comparisons of proposed and established methods have been found to yield positive outcomes in experiments. The utilization rate has been identified in existing system is 88, but the proposed system rate is 88.82.
Blockchain-Based Access Control with Decentralized Architecture for Data Storage and Transfer

When it comes to the security of data in the cloud storage model, access control is the most crucial factor. However, traditional methods of data sharing and access control present significant difficulties in the field of study due to issues like privacy data leakage and key abuse. The blockchain model also offers security because of the various encryption methods used for user authentication. Since this research focuses on the blockchain-based cloud, two major contributions are developed: one for effective access control and the other for privacy-based data sharing and retrieval. The first contribution implements a blockchain-based model for cloud-based access control and data sharing. This issue of a single point of failure in cloud architecture is effectively addressed by the developed blockchain-based access control and data sharing process. According to the credentials, the data user (DU) generates a registration request that is sent to the data owner (DO). In order to ensure safe transmission, an EHR application implements a data protection procedure. The cloud infrastructure incorporates components such as data consumers, data producers, blockchain transactions, smart contracts, and the Interplanetary File System (IPFS). To top it all off, DO includes a data protection algorithm for securing HER, wherein encrypted EHR is converted to IPFS before being shared with the data consumer.
Optimized Reversible Arithmetic and Logic Unit

Reversible logic is emerging as a prominent and most efficient approach in recent years. These techniques have large number applications in low power VLSI, DNA computing, digital image processing, cryptography, quantum computing, and in optical information processing. A reversible-based ALU is presented in this paper. The control block and the adder block are the two main components of ALU, and they are derived by using the basic reversible gates. The proposed ALU has been designed and implemented at CMOS level using the Cadence tool. The proposed reversible control unit has two R-I, two COG, one Feynman, and a reversible AND gate which are used to derive the controlled outputs. Comparative results show improved performance than other available techniques related to performance parameters like quantum cost, number of reversible gates, constant inputs, and their garbage outputs.
Free-Space Quantum Teleportation with Orbital Angular Momentum Multiplexed Continuous Variable Entanglement

Quantum teleportation is one of the fundamental primitives of quantum cryptography. In order to achieve a wider range of high-capacity information transfer, we propose a free-space quantum teleportation (QT) protocol with orbital angular momentum (OAM) multiplexed continuous variable (CV) entangled states. The preparation of the entangled states is accomplished by the spontaneous four-wave mixing (SFWM) process occurring in a hot 85Rb vapor cell, and the mode selection for the Bell-state measurement is achieved by employing the balanced homodyne detection technique. The fidelity of teleporting EPR entangled states carrying different topological charges via a Kolmogorov-type atmospheric turbulence channel is derived, and the superiority of enhancing the system channel capacity via OAM multiplexing is demonstrated. Our work provides a feasible scheme to implement high-capacity quantum communication in atmospheric environments.
Improved Campus Security Tracking Technology With NFC System

Smart Card is the main support in the gate system. This study aims to apply smart cards to smart gates among the academic community as users. This system uses a MIFARE type Near Field Communication (NFC) smart card as an identity for identification and authentication. The read/write process is configured where data blocks can be read using the Arduino integrated hardware. Information security on NFC tags is carried out using Caesar Chipper encryption and the rotary letter method. The time needed to read information from the database to the NFC tag without a barrier is the fastest time of 1.49 deTechnology and the longest 2.26 deTechnology with an average processing time of 1.84 deTechnology, while for testing using the fastest time barrier it is obtained 1, 53 deTechnology and the longest time is 2.21 deTechnology with an average processing time of 1.83 deTechnology. This shows that the time used in the process of writing information is efficient and is not affected by obstacles.
3D Fractals, Axiom of Algebra (Δ&amp;lt;sub&amp;gt;&amp;lt;i&amp;gt;n&amp;lt;/i&amp;gt;&amp;lt;/sub&amp;gt;)&amp;lt;sup&amp;gt;&amp;lt;i&amp;gt;n&amp;lt;/i&amp;gt;&amp;lt;/sup&amp;gt; = +1

After having laid down the Axiom of Algebra, bringing the creation of the square root of -1 by Euler to the entire circle and thus authorizing a simple notation of the nth roots of unity, the author uses it to organize homogeneous divisions of the limited development of the exponential function, that is opening the way to the use of a whole bunch of new primary functions in Differential Calculus. He then shows how new supercomplex products in dimension 3 make it possible to calculate fractals whose connexity depends on the product considered. We recall the geometry of convex polygons and regular polygons.
A HYBRID MACHINE LEARNING BASED APPROACH OF URL FRAUD DETECTION

Phishing is widely used to scam people aroundthe world. This attack is mainly used to steal the user’s information such as Debit/Credit card, passwords and other sensitive data. This attack can be enforced on large mob at a time so, anyone can be target. This attack is initiated by sending a fake URLs through email, social media but link appears to be so genuine sent right from original organization Thus, user tempts to enter the information. In this article our team is going to handle this kind of attacks. Using Machine learning techniques, our web app is to going to detect whether it is a phishing link or not Key Words: Phishing, Support Vector Machine, Decision Tree classifier, Machine Learning, CyberSecurity.
The Impact of Institutional Voids on Government Ownership in the MENA

The Impact of Institutional Voids on Government Ownership in the MENA Region Governance Reforms and Policy Implications This paper is an exploratory study investigating the impact of institutions on government ownership and its different structures in publicly listed firms in eleven MENA countries. Our findings served to illustrate the theoretical perspectives in the relevant prevailing literature on linking institutional voids to government ownership and various ownership structures, namely in emerging markets. This paper finds that government ownership is higher amid weak institutional settings in which weak financial markets, governance structure, economic freedom, property rights and strong political constraints are manifest. These similar institutional voids pave the way to more block and pyramid ownership structures through which governments strengthen their control and involvement in firms and are more likely to prioritize their goals above those of the firm. The impact of institutional weaknesses on the prevalence and nature of government ownership requires an urgent governance and institutional reforms which this paper aims to address by providing policy recommendations.
Model-Based Evolutionary Algorithms

tutorial Open Access Share on Model-Based Evolutionary Algorithms Authors: Dirk Thierens Utrecht University, Utrecht, Netherlands Utrecht University, Utrecht, Netherlands https://orcid.org/0000-0002-9308-5159View Profile , Peter A. N. Bosman Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands https://orcid.org/0000-0002-4186-6666View Profile Authors Info & Claims GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary ComputationJuly 2023Pages 1099–1128https://doi.org/10.1145/3583133.3595055Published:24 July 2023Publication History 0citation19DownloadsMetricsTotal Citations0Total Downloads19Last 12 Months19Last 6 weeks10 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF