Reviewerly/exHarmony huggingface dataset:
The Effect of Giving Fe Tablets In Increasing Hb Level For Adolescents At Age 15-18 Years Old In Senior High School 3 Lahat 2019

This study aims to determine the effect of giving Fe Tablets in increasing Hb levels in adolescents aged 15-18 years at Senior High School 3 (SMAN 3 ) of Lahat. This type of research is quantitative with the design of Quasy Experiment One Group Pretest Postest. Samples were taken using purposive sampling as many as 46 respondents. The measuring instrument used is the Hb meter. The results showed that before giving Fe tablets, it was found that of 46 respondents, 11 respondents (24%) had anemia. In the measurement after giving Fe tablets from 46 respondents there were 5 respondents (10.9%) having anemia. Test Dependent Test showed significant results (p = 0.001). This shows that there is an effect of giving Fe tablets in increasing Hb levels in adolescents aged 15-18 years
Research on the Virtualization Technology in Cloud Computing Environment

Virtualization and cloud computing have been two popular avenues of research over the past few years. Today, virtualization is being used by more and more organizations to diminish power consumptive, Consolidating servers, testing and development, dynamic load balancing and Recovery from catastrophic events, Virtual workstations and enhanced system reliability and safety. The virtualization process provides high uptime for mission-critical applications as well, and streamlines application deployment and migrations. Through cloud computing, information technology resources can be provided in the following ways: Web-based services provided to the final-user. Virtualisation is one of these key foundational technologies It's about cloud computing services.. In this document, a comprehensive review of virtualization is presented. In Additionally,3 x86 CPU virtualisation technologies and the Xen architecture are introduced. To be more precise, we do not offer a virtualisation-based cloud computing platform architecture. Last but not least, we discuss evaluating the performance of server virtualization performance in terms of cost, time and energy savings.
A New PSO-based ANN Hyper-parameters SelectionModel

Finding the best structure of ANN to minimize errors, the processing, andthe search time is one of the main objectives in the AI field. In this paper, anenhanced PSO-based selection technique to determine the optimal configurationfor the artificial neural network is presented. PSO with 2-D search space is used toselect the optimal number of the hidden layer and the number of units per hiddenlayer. The proposed technique was evaluated using a chemical dataset. The resultof testing the proposed technique displayed high prediction accuracy witha minimum error close to zero. In addition, the suggested technique reduces themean absolute percentage error and mean absolute error significantly compared toANN and PSO methods. Moreover, the relative error between the expected outputand actual target is approximately between -0.02 and 0.02. The results of thecomparison of the proposed technique with the ANN and PSO showed that theperformance of the proposed approach is better in terms of the accuracy of theoutput prediction.
Il seppellimento dei prodotti del concepimento nel silenzio della legge

The essay deals with the case of pro-life associations which bury aborted fetuses even if parents do not give directives in this sense. The analysis focuses particularly on the few provisions in the mortuary regulations with the aim to illustrate how the parent does not have the power to prohibit the burial of his or her own fetus, because this can be requested by anyone.
Resonance Technology of Communication of Specialists via Mental Neurointerfaces

For a long time, humanity takes up the problem of transferring thoughts over a distance.It can be solved using high technology.Resonance communication of specialists can be carried out at a distance in real time in dialogue mode through a mental neurointerface with two-way communication.Mental neurointerface on the principles of magnetic resonance tomography captures a hologram of brain activity of the internal speech of the inductor specialist and transmits it to the mental neurointerface of the recipient's interlocutor through ultra-sensitive multi section nano resonators waveguides.The mental neurointerface of the recipient's interlocutor perceives the transmitted hologram of the brain activity of internal speech and resonates its internal speech to it.An interlocutor of the recipient with equivalent semantic memory in a resonant way makes sense of the internal speech of the inductor specialist.He forms the response with internal speech and transmits it to the interlocutor with his mental neurointerface through nano resonators in the form of holograms of the brain activity of internal speech.Interlocutors, as specialists in one subject area, have a similar semantic memory.Semantic memories are considered similar if they correspond to the principle of gold section according to a professional thesaurus.Specialists and interlocutors must learn a professional thesaurus before starting a dialogue through mental neurointerfaces.Thus, the problem of transmitting and reading thoughts at a distance using high technology is solved, taking into account the psychological aspects of the interlocutors.The development of mental neurointerfaces and ultra-sensitive multi section nano waveguide resonators for transmitting holograms of internal speech brain activity is just beginning.The use of resonant communication by mental neurointerfaces through nano waveguides resonators waveguides is currently very relevant in many areas of life activity.
FKG-ACS: FLEXIBLE KEY GENERATION WITH ACCESS CONTROL SCHEME IN CLOUD COMPUTING

Data storage on Cloud servers has gotten out of hand since people keep outsourcing their data day by day. CSPs may, of their own will, tamper with the data that cause data integrity issues. A cloud server is violated by unauthorized users who unlawfully obtain access to the stored data. So there is more to be done in the cloud to provide data security, privacy, and access control. One single bottleneck may cause both safety and execution issues with these suggested ABE designs. The key challenge is that to protect against security and privacy threats, the infrastructure and data must be moved from the trusted domain of the data owner to the public cloud. However, security will remain the number one concern in cloud computing, largely about managing user access and protecting data privacy. This work introduces the FKG-ACS approach (Flexible Key Generation with Access Control Scheme for Data in the Cloud) as a safe and simple technique for controlling cloud-based data access. For efficient and flexible outsourced data access control, we reduce the redundant keys for the same set of users at the same level in the enterprise while implementing the key structure. The research showed that our suggested approach is extremely scalable, adaptable, and proven safe, given the security models already in place.
Deep Graph Mapper: Seeing Graphs Through the Neural Lens

Graph summarization has received much attention lately, with various works tackling the challenge of defining pooling operators on data regions with arbitrary structures. These contrast the grid-like ones encountered in image inputs, where techniques such as max-pooling have been enough to show empirical success. In this work, we merge the Mapper algorithm with the expressive power of graph neural networks to produce topologically grounded graph summaries. We demonstrate the suitability of Mapper as a topological framework for graph pooling by proving that Mapper is a generalization of pooling methods based on soft cluster assignments. Building upon this, we show how easy it is to design novel pooling algorithms that obtain competitive results with other state-of-the-art methods. Additionally, we use our method to produce GNN-aided visualisations of attributed complex networks.
한국 대중가요 분석과 언어문화 교육을 위한 활용

This study aims to analyze the decrease of the vocabulary frequency and the increase of the lyrics from the 1970s to the 2000s. We examined the frequency of representative vocabularies in nouns, verbs and adjectives, and examined the characteristics of emotions. The purpose of this study is to investigate the application of cultural literacy education to Korean culture education by examining the change of vocabulary frequency and observing the contemporary social phenomenon and the latent desire of the masses. From the above, it can be understood that Korean people can plan their understanding of Korean culture and society through popular songs that contain the cultural context of Korea. The lyrics of Korean pop songs can be used as a multimedia education material that enhances cultural sensitivity so that learners’ Korean language ability can be expanded not only because they include current living language, but also because they can critically understand popular culture. As a result, the Korean popular song is a cultural product, which is valuable as language and cultural education material that can understand the situation of the times.
Innovative Teaching Reform in the Division of Higher Mathematics in Colleges

Advanced mathematics is the basic knowledge required for the development of science and technology in industry and agriculture, so it is the most important link in the basic curriculum framework of universities of science and technology. The level of students' mastery of it will affect the entire university period of study, later advanced studies, and the choice of graduate employment. Because of its large content and difficulty, teachers often spend a lot of energy, but students are not interested, and the overall teaching effect is not good. In particular, the usual large-class teaching leads to great differences in the degree of mastery of the learning content of students. Statistics show that the distribution of test scores is very different, which does not conform to the normal distribution. In response to this situation, our school has carried out analysis and research, proposed and implemented the teaching reform of unified teaching in large classes and reorganization of small classes in tutoring. This new teaching method has improved students' learning enthusiasm and mastery of knowledge, which is better than previous years. Significant improvement was made, and very positive feedback was obtained in the follow-up study of other courses.
Electronic segment in the criminal procedural law of Uzbekistan

The article deals with the study of the electronic segment of criminal procedure in the Uzbekistan. The paper studies electronic criminal procedural law enforcement instruments provided by the Criminal procedural code of Uzbekistan; the fixation and the use of evidence in electronic form; the technical requirements for electronic communications in criminal proceedings; the requirements concerning the realization of electronic fixation during the investigation and trial and the enforcement of preventive measures in the form of house arrest and other electronic applications in criminal proceedings. The author has concluded that the study of electronic form of criminal proceedings of similar legal systems with Ukraine, their strengths and weaknesses, errors and achievements will allow to use such experience in the introduction of electronic technologies in domestic science and practice of criminal procedure, the possibility of quality legislative changes
Blockchain Technology in IoT Systems: Review of the Challenges

Internet of Things (IoT) platforms have a great number of vulnerabilities which cyber-attackers can exploit. A possible solution largely contemplated in the state of the art is to make use of blockchain technology in any IoT system to enhance the security of the platform while improving other of its aspects. Although there are valuable benefits of the use of IoT platforms based on blockchain technology, it is worth studying the different alternatives between blockchain technologies, because all of them have their own limitations that are not suitable for every use case scenario. In this work, we listed a number of flaws that blockchain technology has in this respect. We have identified that, most of the flaws can be overcome by adapting the variants of this technology to the specific needs of the IoT platform. Every IoT system based on blockchain technology, should perform a systematic analysis of their needs, identifying what are the blockchain features sought for that scenario, to choose the solution that best meets the needs among the different blockchain technology alternatives.
Prioritization Of Software Requirements Through Hierarchical Aggregation

A fundamental goal of any engineering and software, including, in particular, is to achieve quality products. To meet these needs is essential to conduct formal requirements engineering and especially their prioritization. Prioritization of software requirements is a complex decision-making process. Existing models lack adequate flexibility and adaptability to the explicit contexts of organizations. In this work, a method for prioritizing requirements that uses aggregation operators is hierarchically proposed. The system provided for the consideration of topics such as requirements significance and relativity. A case study shows the proposal's relevance. The article ends with suggestions for potential research that will help to improve the method's validity.
Preservação e curadoria digital: estudo de caso realizado num Centro de Pesquisas Oncológicas

This paper is part of the doctoral thesis research in Information Science of a Brazilian Federal University, which aims to propose a model appropriate to the problem of the preservation and digital curatorship of digital objects of Research Centers in oncology. In this direction, as one of the prerequisites for achieving the aforementioned goal, this article was developed, with the objective of knowing the needs and activities undertaken about the digital preservation and curatorship of digital objects of an Oncologic Research Center considered a reference in the treatment of this disease. This is a case study carried out after submission and approval of this research in the Brazil Platform, through the issuance of opinions embodied by the institutions: proponents and co-participants.  As a result, in addition to identifying the needs and activities developed related to digital preservation and curation, several aspects that surround such practices were mapped, which are essential when implementing a sustainable model for this purpose.
Flood Water Level Modeling In Bukit Tiara Residential

Flood is a natural phenomenon that can threaten the existence of human life, especially during the rainy season. Bukit Tiara Residential, which has a land area of ± 282 hectares in Kecamatan Cikupa, Kabupaten Tangerang, plans to develop its area. To get a building elevation that is safe against flooding, a flood water level modeling study was carried out in Bukit Tiara Residential. In this study, the analysis carried out is the calculation of planned rainfall, choosing the type of rain distribution, calculating the time of concentration, determining the amount of rain intensity, calculating flood discharge and modeling the water level using the HEC-RAS program. From the results of the analysis and calculations, it is known that there is a need for land exaltation in several areas so that the planned land elevation is safe from the threat of flooding.
Methodological Approaches to Preparing Students for Professional Innovative Activity

The article reveals the preparation for professional innovative activities at different levels (public, socio-pedagogical, theoreticalmethodological, and methodological-technological). The main types of innovation – creation, development, testing, implementation – are characterized. The phenomenon is briefly analyzed. Despite the accumulated experience and existing interest in the problem, there are few studies on the preparation for innovative activity of students of technical and cultural universities. In the article, a definition of the term “professional innovation” is proposed. The essence of readiness for innovation is presented. The choice of innovative, energyresource, integrative approaches to preparing students for innovative activity is substantiated. The functions of the approaches are presented. These functions are realized through a system of certain principles. In the article, the methods of analysis, questionnaire, testing, ranking were used to identify students’ and teachers’ values of innovative activity, to determine objective and subjective factors affecting professional innovative activity, and methods and means students and teachers find effective in developing creative abilities. The respondents emphasize professional patriotism, professional health (capacity for work), and creativity as the most significant values of innovative activity. The article presents the most effective forms, methods, and tools that contribute to readiness for innovation. Particular attention is paid to the innovative projects in mixed groups of the South Ural State University. The implementation of sociocultural projects at Chelyabinsk State Institute of Culture is described. Examples from practical experience are given. It is noted that the training of students in various types of their independent activities is based on their personal experience of independent activities. The necessity of pedagogical assistance is the most appropriate way of pedagogical support, creating conditions for students for independent education. It develops the readiness for innovative activity and the ability to manage educational activities. The key results of the study are: the specified content of key concepts; the determined structural elements of readiness for innovation, skills (forecast, planning, analysis, interpretation, reflection), values of innovation (professional patriotism, performance, health, creativity, etc.); the revealed methodological approaches to preparing students for professional innovative activity; the identified principles and conditions for the implementation and functioning of the phenomenon.
Showcasing Motorbikes and Sewing Machines: Promotional Language on Husqvarna Websites

How do companies that produce highly diverse merchandise promote their different goods and how do they target them to their consumers? The Husqvarna brand is known for containing several divisions that manufacture a wide range of products from motorbikes to chainsaws and sewing machines. Each of these companies has its own dedicated webpage, which represents an important space for self-promotion and presentation of the characteristics of their products. However, while Husqvarna has been widely studied in terms of marketing and corporate social responsibility, whether the brand’s promotional strategies relative to the diverse products are more or less the same or change accordingly remains to be investigated. The present study sets out to fill this gap by examining how motorbikes and sewing machines are described and promoted on the respective Husqvarna websites by looking at branding, targeting, and promotional language. In order to carry out our analysis, we created two corpora from the official US Husqvarna Motorcycles and Sewing Machines websites. The two corpora have been analysed following both a quantitative and qualitative approach, combining corpus linguistics and appraisal theory (Martin and White 2005). This case study will yield insights on how multidivisional companies promote their different products and how they target them for their different audiences.
Source-based Defense Mechanism in SDN with Support Vector Machine

Abstract DDoS (Distributed Denial of Service) is one of the cyber-attacks that make the network service unavailable. SDN (Software Defined Network) has tools to defeat the DDoS, because SDN has good features in defeating DDoS such as logically centralized controller, separation control plan, and programmability network. This journal purposed SVM (Support Vector Machine) that combined with Ryu controller that can predict the incoming packet based on the learned traffic, whether it is a normal packet or DDoS packet, and blocking the packet if the packet indicating the DDoS traffic. The result of the simulation was that SVM can mitigate the DDoS attack even with the biggest attack sequence. Index Terms: Software-Defined Network (SDN), Source-Based Defense Mechanism, Distributed Denial of Service (DDoS), Support Vector Machine (SVM)
Analyzing Code Embeddings for Coding Clinical Narratives

Medical professionals review clinical narratives to assign medical codes as per the International Classification of Diseases (ICD) for billing and care management.This manual process is inefficient and error-prone as it involves a nuanced one-to-many mapping.Recent works on automated ICD coding learn mappings between low-dimensional representations of the reports and the codes.While they propose novel neural networks for encoding varied types of information about the codes, it is unclear as to what information in the medical codes is helpful for performance improvement and why.Here, we compare different ways to represent, or embed, the codes based on their textual, structural and statistical characteristics, using a single deep learning baseline model in quantitative evaluations on discharge reports from the MIMIC-III Intensive Care Unit database.We also qualitatively analyse the nature of the cases that benefit most from the code embeddings and demonstrate that code embeddings are important for predicting ambiguous and oblique codes.
Zero-knowledge proof algorithm for Data Privacy

As pass the three revised bills, the Personal Information Protection Act was revised to have a larger application for personal information. For an industrial development through an efficient and secure usage of personal information, there is a need to revise the existing anonymity processing method. This paper modifies the Zero Knowledge Proofs algorithm among the anonymity processing methods to modify the anonymity process calculations by taking into account the reliability of the used service company. More detail, the formula of ZKP (Zero Knowledge Proof) used by ZK-SNAKE is used to modify the personal information for pseudonymization processing. The core function of the proposed algorithm is the addition of user variables and adjustment of the difficulty level according to the reliability of the data user organization and the scope of use. Through Setup_p, the additional variable γ can be selectively applied according to the reliability of the user institution, and the degree of agreement of Witness is adjusted according to the reliability of the institution entered through Prove_p. The difficulty of the verification process is adjusted by considering the reliability of the institution entered through Verify_p. SimProve, a simulator, also refers to the scope of use and the reliability of the input authority. With this suggestion, it is possible to increase reliability and security of anonymity processing and distribution of personal information.
Психологический аспект в работе соционика

It is discussed the psychological aspect of the advisory activities of a specialist in socionics.
FORMATION OF STUDENTS ' INTEREST IN SOLVING COGNITIVE PROBLEMS

The main goal of a modern school is to create a learning system that meets the needs of education in accordance with the inclinations, interests and capabilities of each student. To achieve this goal, it is necessary to radically change the paradigm inwhich the interaction of student and teacher is considered.Today, the modern concept of teaching should be taught to the student himself, and the teacher should exercise motivational management of his teaching, that is. promotion, organization, coordination, and consulting of its activities.If there are strong, bright and deep reasons that cause students to strive for active action, overcoming unavoidable difficulties, and achieving their goals, then actions give more effective and good results