Reviewerly/exHarmony huggingface dataset:
IMPLEMENTASI MULTI DATABASE SEKMA PADA INFRASTUKTUR BERBASIS MICROSERVICE

Currently the development of infrastructure is quite fast which must support business performance in a company. Infrastructure technology itself has several licenses such as monolid and microservice. The microservice scheme by using OKD we can produce multiservice applications where there are problems in the service this service will not interfere with other services. Due to the process within the microsoft itself stands alone, to integrate services one by one can use config files from the microservice side. In OKD itself there is already a tool to monitor each service such as monitoring logs, YAML configuration and others. In this research, the application was monitored actively and successfully up to the time. If there is a problem with the service, OKD will provide a warning on the dashboard.
Media Psychological Expertise Audio-Visual Products

The article raises the current problem for Ukrainian society as the mechanisms of media regulators, which cover sensitive topics that may adversely affect the psychological and moral development of children. The author reviews scientific research related to the negative impact of television programs on child development and justifies the need for media psychological expertise to protect children in the information space and the ability to defend this right in court. The main purpose of the article is to substantiate the scientific construct of media psychological expertise. In connection with this purpose the author presents its methodological principles: typology of leading types of visual, audiovisual mass media and algorithms of visual media texts research, classification of information destructive influences of media (Cherepovska), five planes of film analysis (Chaplinskaya), different types of analysis of media texts (Fedorov) and detailed typology of audiovisual media perception (Hilko), age periodization of media risks and criteria for harming the psychological well-being of children with media products (Naidenova), as well as methods of psychological research in cases of moral suffering to the person (Savkina et al.). The author defines the scientific construct of media psychological examination, describes its object, subject, list of main tasks, methods, process and substantiates the requirements for the competence of the expert. Prospects for research on this topic were outlined in the form of supplementing the procedure of media psychological examination, formation of a psychodiagnostic minimum for the examination of minors, development of curricula for experts, and perhaps the formation of a separate discipline for higher education.
Media Theory: Normalization and Variantology

The author suggests to look at media research from a historical perspective and compare the projects of the “golden period”, that is, the 1990s – early 2000s, with the works of recent years. After preliminary contextual explanations, choosing for a more detailed presentation projects of S. Zielinski and J. Parikka, the author shows how the tasks of media studies and their methodology change during the transition from large-scale panoramas claiming to build a new history from the perspectives of media to often fragmented and situational analyses of components of chosen media (for example, the translation of color dispersion into the chemical language of a photograph of a distant star). This was the way by which archaeology, attentive to geological time, turned into archival work being done for “commercial use or machine learning”. This is how the radical approaches to media research characteristic of the first media theorists are leveled, because scientists publishing their works since the second half of the 2010s contribute to the normalization of media theory by bringing it to the long-discussed topics of other disciplines, such as cognitive functions or theories of signs. At the same time, media theory of recent years is being largely politicized, adopting governmental instructions and reducing the “variantology” and multiplicity of media that were developed earlier.
SoK: A Proposal for Incorporating Accessible Gamified Cybersecurity Awareness Training Informed by a Systematic Literature Review

an enhanced cognitive approach for the increased recognition of cybersecurity education and application [68].Although basic cybersecurity hygiene is widely induced, whether by compliance or on-premise demand, an inclusive and accessible approach will be even more significant for internet technology users that may have disabilities or neurodiverse learning capacities [42].
Noise tailoring for robust amplitude estimation

Abstract A universal fault-tolerant quantum computer holds the promise to speed up computational problems that are otherwise intractable on classical computers; however, for the next decade or so, our access is restricted to noisy intermediate-scale quantum (NISQ) computers and, perhaps, early fault tolerant (EFT) quantum computers. This motivates the development of many near-term quantum algorithms including robust amplitude estimation (RAE), which is a quantum-enhanced algorithm for estimating expectation values. One obstacle to using RAE has been a paucity of ways of getting realistic error models incorporated into this algorithm. So far the impact of device noise on RAE is incorporated into one of its subroutines as an exponential decay model, which is unrealistic for NISQ devices and, maybe, for EFT devices; this hinders the performance of RAE. Rather than trying to explicitly model realistic noise effects, which may be infeasible, we circumvent this obstacle by tailoring device noise using randomized compiling to generate an effective noise model, whose impact on RAE closely resembles that of the exponential decay model. Using noisy simulations, we show that our noise-tailored RAE algorithm is able to regain improvements in both bias and precision that are expected for RAE. Additionally, on IBM’s quantum computer ibmq_belem our algorithm demonstrates advantage over the standard estimation technique in reducing bias. Thus, our work extends the feasibility of RAE on NISQ computers, consequently bringing us one step closer towards achieving quantum advantage using these devices.
A Semantic Gateway for Internet of Things Interoperability at the Application Layer

Abstract Due to the rapid growth of the Internet of Things (IoT), researchers have demonstrated various IoT solutions, which are used to interconnect a wide range of IoT devices through the Internet. However, IoT stumbled into vertical silos; the available solutions provide specific IoT infrastructure, devices, protocols, data formats and models. This diversity and heterogeneity lead to interoperability issues. Heterogeneity happens at all IoT layers, especially at the application layer; devices often adopt mutually incompatible application-layer communication protocols to connect devices to IoT services. Furthermore, in order to integrate semantics to raw data, each system uses its one domain-specific ontology to make data more understandable and interpretable by adding semantic annotations. Working in isolation reduces the interoperability among IoT devices and systems, things across domains need to internetwork and collaborate to provide high level IoT services. Therefore, to alleviate the problem of both communication protocol interoperability and semantic interoperability across vertical silos of systems at the application layer, this paper proposes a semantic gateway (SGIoT) that acts as a bridge between heterogeneous sink nodes at the physical level and IoT services. SGIoT enables interconnectivity between communication protocols such as CoAP and MQTT regardless of their communication model, meanwhile it enables semantics integration throu gh cross-domain ontology (CDOnto) for semantic annotation, in order to provide interpretation of messages among IoT applications across domains. Our approach focuses on modularity and extensibility.
Quantization: Is It Possible to Improve Classification?

&lt;p&gt; Large-scale classification poses great challenges to storage and computation. There are two major solutions to address the problem: data compression and quantization. In the paper, we study the method of first reducing data dimension by random projection and then quantizing the projections to ternary and binary codes, which has been widely applied in practice. Often, the extreme quantization would degrade the accuracy of classification due to high quantization errors. Interestingly, however, we observe that the quantization could result in performance improvement, rather than degradation, if the data for quantization are preprocessed by sparse transform. Also, the quantization gain could be obtained with the random projections of the data, if both the data and random projection matrices are sparse enough, such that the resulting projections remain sparse. The intriguing performance is verified and analyzed with extensive experiments.&lt;br&gt; &lt;/p&gt;
A quantum simulator based on locally controlled logical systems

Abstract In a digital quantum simulator, basic two-qubit interactions are manipulated by means of fast local control operations to establish a desired target Hamiltonian. Here we consider a quantum simulator based on logical systems, i.e. where several physical qubits are used to represent a single logical two-level system to obtain enhanced and simple control over effective interactions between logical systems. Fixed, distance-dependent pairwise interactions between the physical qubits lead to effective interactions between the logical systems, which can be fully controlled solely by the choice of their internal state. This allows one to directly manipulate the topology and strength of effective interactions between logical systems. We show how to choose and generate the required states of logical systems for any desired interaction pattern and topology, how to perform arbitrary logical measurements, and how to obtain full control over single logical systems using only the intrinsic two-body interactions and control of individual physical qubits. This leads to a universal quantum simulator based on logical systems. We discuss the advantages of such a logical quantum simulator over standard ones, including the possibility to reach target topologies that are only accessible with large overheads otherwise. We provide several examples of how to obtain different target interaction patterns and topologies from initial long-ranged or short-ranged qubit-qubit interactions with a specific distance dependence.
Quantum Machine Learning Driven Malicious User Prediction for Cloud Network Communications

&lt;p&gt;This letter proposes a novel malicious user prediction model based on quantum machine learning that estimates the vicious entity present in the communication system precedently before allocating the data in the distributed environments. The proposed model scrutinizes the behavior of each user and estimates probable data breaches using a developed malicious user predictor unit. The model computes essential scores associated with each user request for the learning process of the prediction unit by generating training samples. The predictor unit exploits the computational and behavioral properties of Qubits and Quantum gates for the accurate prediction of the malicious user with high precision to grant access to non-malicious data requests only. The experimental evaluation and comparison of the proposed model with state-of-the-art methods reveal that it significantly improves the security of the system up to 33.28%.&lt;/p&gt;
Secbon: Self-Establishing Clustered Blockchain Network

Blockchain technology has branched out into many industries, such as healthcare, manufacturing, agriculture and entertainment, in the shape of both of its public and non-public variants. In principle, blockchain provides these industries with an immutable ledger, allowing the processes in its application environment to be taken care of in a decentralized manner. However, some challenges blockchain has faced to this day remain, such as the degree of its scalability, the level of security it provides and the transparency of the network transactions. In this paper, a novel approach to a distributed, permission-less blockchain network is explored with the use of hierarchical clustering to gather the nodes based on the latency of their connection to one another. Allowing these clusters of nodes to work on their respective local chains and then adding the verified groups to the actual global chain that is used by the entire system. Network’s throughput performance and overall latency are evaluated and compared with other blockchain applications, namely a simulation of the Bitcoin[1] network itself and another approach that makes use of a method called Community Clustering[2]. We collected the data for the correlation in the same environment for SECBoN, Bitcoin and Community Clustering[2] networks. The comparison of the collected data aligns with SECBoN’s clusters to improve the transaction throughput of the network, an increase in average throughput and a drastic decrease in latency are observed.
Policy Network Analysis of Conflict in Establishment of Special Schools Using Social Network Analysis: Focusing on the Case of Special School in Gangseo-gu

본 연구는 강서구 특수학교 설립에 따른 갈등 현상의 구조와 시기별 양상을 정책네트워크 관점에서 분석하고 원활한 특수학교 설립을 위한 시사점 도출하는 것에 목적을 두었다. 강서구 특수학교 설립갈등에서 정책참여자 간의 상호작용을 파악하기 위하여 Marsh & Rhodes(1992)의 정책네트워크 모형인 구성원, 통합성, 권력, 자원을 사회연결망 분석을 활용하였다. 그 결과 정책네트워크를 구성하는 정책참여자는 31개, 상호작용은 139개로 네트워크를 구성하는 정책참여자들은 모두 연결되어 있었다. 설립 계획 행정예고 및 의견수렴기(2013~2016)의 정책참여자는 비공식적 참여자가 많은 비율을 차지하며 장애학생의 학습권 보호와 지역이기주의에서 비롯된 쟁점들이 양립하였다. 정책추진기(2017)는 정책참여자 간의 대립이 가시화되며 공식적 참여자들의 참여가 활발히 이루어졌다. 정책수행기(2018~2019)의 정책참여자 역시 공식적 참여자의 참여가 우세하게 나타나며 주요 쟁점은 소통 부족, 개교일 연기 등으로 나타났다. 이와 같은 결과를 바탕으로 논의를 도출하였다.The purpose of this study was to analyze the structure and timing of the conflict phenomenon caused by the establishment of special schools in Gangseo-gu from the perspective of a policy network and to derive implications for smooth establishment of special schools. In order to understand the interaction between policy participants in the conflict over the establishment of special schools in Gangseo-gu, members, integration, power, and resources, which are the policy network model of Marsh & Rhodes(1992), were analyzed using social network analysis. As a result, there were 31 policy participants constituting the policy network and 139 interactions, and all policy participants constituting the network were connected. Policy participants in the establishment plan administrative notice and opinion gathering period(2013~2016) accounted for a large proportion of informal participants, and issues arising from the protection of students with disabilities' right to study and local selfishness were compatible. During the policy promotion period(2017), confrontation between policy participants became visible, and official participants actively participated. Policy participants in the policy implementation period(2018~2019) were actively participated by official participants, and the main issues were lack of communication and postponement of the school opening day. Discussions were drawn based on these results.
BIBLIOMETRIX PEMBELAJARAN BAHASA DI SEKOLAH DASAR

This study aims to see the development of research on language learning in elementary schools. This type of research is included in the type of literature review research. Research data sourced from Scopus. In the Scopus search column, data was found as many as 1,357,373 articles. The data was selected in four stages, namely identification, screening, eligibility, and included so that 26 articles were obtained for data processing. The process of interpreting the data is carried out with the help of R studio type 386.4.1.3. The results obtained are data with three categories of research information, namely authors, document searches, and documents. Based on the results of the study, it can be concluded that language learning in elementary schools is growing rapidly in the USA and the United Kingdom. Meanwhile, the most popular place to publish language learning articles is the journal of speech. For popular vocabulary in research, namely learning and linguistics
KRIVIČNOPRAVNO SUPROTSTAVLJANJE VISOKOTEHNOLOŠKOM – KOMPJUTERSKOM KRIMINALITETU: SAVREMENI IZAZOVI, DILEME, PERSPEKTIVE

High-tech - computer crime by its nature and phenomenological prevalence is a transnational phenomenon that deserves special attention and interest of the scientific and professional public, primarily due to the negative consequences but also other specifics inherent in this crime. This paper emphasizes the conditionality and connection of information and communication technologies with crime, the complexity of defining this crime, Internet abuse as well as the criminal (material and procedural) aspect of these crimes, and their connection with other crimes. In that sense, certain specifics and problems of practical nature are stated in terms of timely, efficient and legal action of entities or law enforcement agencies in terms of timely detection and proof of these crimes, with reference to existing detection and evidence possibilities and shortcomings. Given the accelerated development of information and communication technologies as well as the present phenomenological diversity of these crimes, it is quite realistic to expect some new phenomenological forms of manifestation in the future, hence the real need to expand the catalog of these crimes and prescribe adequate and proportionate legal solutions, procedural nature in terms of gathering evidence.
Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance Agreement

Abstract Many studies have shown that transformers are able to predict subject-verb agreement, demonstrating their ability to uncover an abstract representation of the sentence in an unsupervised way. Recently, Li et al. (2021) found that transformers were also able to predict the object-past participle agreement in French, the modeling of which in formal grammar is fundamentally different from that of subject-verb agreement and relies on a movement and an anaphora resolution. To better understand transformers’ internal working, we propose to contrast how they handle these two kinds of agreement. Using probing and counterfactual analysis methods, our experiments on French agreements show that (i) the agreement task suffers from several confounders that partially question the conclusions drawn so far and (ii) transformers handle subject-verb and object-past participle agreements in a way that is consistent with their modeling in theoretical linguistics.
Management Strategies for Ethnic Prototypes of Senior Clubs in the Upper Northern Region

The objectives of this article were 1) to explore the management strategies for senior clubs, and 2) to study the implementation of the management strategy of the ethnic senior clubs in the upper northern region. This research was mixed methods research. The target audience of the research was the elderly who were members of five ethnic senior clubs in the upper northern region. 30 of them were collected from each club; there were 150 people in total. The tools used to collect the data were documented files, observation forms, interview forms, and focus group forms. The data were analyzed based on content analysis and descriptions. The results demonstrated that: 1) The management strategies for ethnic prototypes of senior clubs in the upper northern region included 1) SWOT 2) vision 3) mission 4) objectives and 5) four strategies that involved committees, management, member participation, and activity management aspects. 2) Concerning, the implementation of the management strategies for ethnic prototypes of senior clubs in the upper northern region, it was found that the management strategies were implemented as planned. Activities were conducted as follows: six committee items, eleven management items, five member participation items, and five activity management items. This research uncovered an important finding. Strategies and strategic plans for managing ethnic senior clubs in the upper northern region could be applied to senior clubs, as well as geriatric schools across the country. Emphasis should be placed on strategic planning for management, plan compliance, monitoring, following up, and continual improvement to ensure that senior clubs or schools were operated in a stable and sustainable environment for all time.
A Highly Accurate Internet-Based Fake Information Detection Tool for Indonesian Twitter

The dissemination of fake information through social media has several harmful effects on the social life of a nation. Indonesia has been afflicted by the dissemination of erroneous information regarding the negative health consequences of vaccination, resulting in widespread unwillingness to undergo immunization. Therefore, it is necessary to combat such misleading information. We developed a web application using machine learning technologies to identify bogus information flowing on Indonesian Twitter. A Passive-Aggressive Classifier and n-gram tokenization are used to handle data. The application test results indicate that the detection accuracy, precision, and recall for 1-3 grams of tokenization are higher than 90%. In addition, the black box approach yields reliable findings for all application functionalities.
A New Scheme for Image Compression and Encryption Using ECIES, Henon Map, and AEGAN

Abstract Providing security in the transmission of images and other multimedia data has become one of the most important scientific and practical issues. In this paper, a method for compressing and encryption images is proposed, which can safely transmit images in low-bandwidth data transmission channels. At first, using the autoencoding generative adversarial network (AEGAN) model, the images are mapped to a vector in the latent space with low dimensions. In the next step, the obtained vector is encrypted using public key encryption methods. In the proposed method, Henon chaotic map is used for permutation, which makes information transfer more secure. To evaluate the results of the proposed scheme, three criteria SSIM, PSNR, and execution time have been used.
Comprehensive study of deep learning based Telugu OCR: A survey

There will be no computer-editable text in the image file. The method of optical character recognition (OCR), which can read handwritten or printed text in images, turns that text into a file that can be edited on a computer. English has a well-developed OCR system. OCR is currently required for Indian languages in order to process application forms, categorise books in libraries, and preserve historical records that are mostly written in Indian languages. The Telugu language presents challenges for OCR since each character is made up of a single consonant, a single vowel, or a compound of vowels and consonants.
Banking Competition and Industrialization: Evidence from Some African Countries

The relationship between bank competition and industrialization remains controversial and scarce in studies related to African countries. Using a sample of 26 African countries from 1996 to 2017, the objective of this paper is to analyze the effect of banking competition measured by non-structural measures (Lerner index and Boone indicator) on industrialization. Using the GMM, we obtained two different results. When measured by the Lerner index, competition evolves in the same direction as industrialization while the opposite effect is observed when using the Boone index. Following these results, we found that the relationship between bank competition and industrialization is non-linear. Bank competition should be encouraged but it should also be regulated so as not to become a brake on industrialization.