Reviewerly/exHarmony huggingface dataset:
Comparisons of Logistic Regression and Support Vector Machines in Classification of Echocardiogram Dataset

Echocardiography is a test that uses sound waves to produce an image of our heart. This image is called an echocardiogram. This paper uses Echocardiogram Dataset, in which the problem is to classify from 7 features whether the patient will survive or not. In this study, the classification method is used to solve this problem. Some classification methods can be applied to classify category response variables, such as Logistic regression and Support Vector Machines (SVM). The method for predicting best accuracy used holdout and cross-validation. Before doing classification, some preprocessing procedures were applied to this dataset. The preprocessing procedures include missing value imputation using median imputation, outliers detection in univariate and multivariate procedures, and feature selection using the backward method. The result of classification in the analysis showed that SVM with unstratified holdout gave the best accuracy, that is 91.54%.
Klasifikasi Hasil Seleksi Kompotensi Dasar CPNS Menggunakan Metode Decision Tree

Civil Servants (PNS) are one of the jobs that are of interest to various groups of people in Indonesia. The need for qualified and competitive human resources in this era of globalization requires the government to be more serious in recruiting prospective civil servants so that the realization of good service and organizational needs for existing position qualifications can be met. The implementation of the 2021 civil servant candidate selection at Pattimura University is carried out based on the regulations of the State Civil Service Agency with several stages of selection, one of which is the Basic Competence Selection with a predetermined value standard. This study aims to classify the test results of Candidates for Civil Servants at Pattimura University. The data used in this study is secondary data obtained from the State Civil Service Agency in 2021. The method used in this study is the Decision Tree method. The results show that there are 4 classes (classification) with an Accuracy value of 75%, Classification Error of 25%, Kappa of 0.947, Recall of 97.14%, and Precision of 93.94%.
Effectiveness of a Gamification Tool for Classroom Management in Education Setting

Classroom management is a key factor in students' educational achievement. Hence, the purpose of this study is to provide practitioners with clear evidence of the effectiveness of a free and accessible classroom management system, ClassDojo. Therefore, it brings significant implications for addressing the problem of the practitioners in handling class as the strategies of classroom management are not providing the intended results. This will help lessen the number of occurrences of disruptive behaviour. The quantitative results from the pre- and post-ClassDojo intervention of this study have shown a positive change in students’ behaviours with the students and these results can be comparable to the previous studies in which there is a significant decline in disruptive behaviour. Implementing ClassDojo as an intervention has the potential to lighten two issues simultaneously—namely, decreasing students’ disruptive behaviours that aid the teacher in handling their classroom and achieving teachers’ requirements of integrating technology into the lesson. Keywords: behavioural; education technology; intervention; performance; reward system
A free-associative experiment for identifying the factors for the personal development of youth in the context of professional education

In the conditions of rapid changes taking place in the socio-economic life of Kazakhstan, much attention is paid to young people who are gradually taking active positions in the economic, political, and cultural spheres. Young people are aimed at developing and promoting their initiatives, mainly starting to implement them during the professional training.&nbsp; In these conditions, the socio-cultural potential of the youth acts as a combination of qualities and capabilities of the younger generation, formed under the influence of certain factors and a professionally oriented educational environment. From this perspective, we should determine these factors in accordance with the realities of modern times and youth's point of view. The purpose of the research was to determine the structure of significant indicators for youth’s socio-cultural potential development in the context of professional education via the free-associative method. It was considered how the different categories of respondents react to the incentive words and phrases such as "youth", "youth's socio-cultural potential", "socio-cultural environment", and "cross-cultural interaction".&nbsp; Interpretation of the obtained results allows us to divide associations based on keywords and the repeatability sums values of the mentions into groups that make up the semantic core for each definition. As a consequence, twenty cognitive paradigmatic signs with a positive connotation were identified. The scientific value and novelty of the work arrows in proving the possibility of using the free-associative method for the definition of the logical components of the concepts in accordance to the ideas of a certain social group about it. The main conclusions of the research confirm that the youth of Kazakhstan, as a social group, has a formed structure of associations regarding the role and status of youth in society and the development of socio-cultural potential, including in conditions of intercultural interaction. The practical significance of the results provides a base for the determination of the socio-cultural potential of youth indicators in the professional study field. Key words: associative method, frequent reactions, semantic core, socio-cultural interaction, youth.
Regularized Linear Discriminant Analysis Via A New difference-of-convex algorithm with extrapolation

Abstract In this paper, we transform the classical linear discriminant analysis (LDA) into a smooth difference-of-convex optimization problem. Then, a new difference-of-convex algorithm with extrapolation is introduced and the convergence of thealgorithm is established. Finally, for face recognition problem, the proposed algorithm achieves betterclassification performance compared with several current algorithms in the literature. AMS Subject Classification: 15A18; 15A69
Electronic collection studies as the key component of library e-science: The challenges in the transforming book market

The authors speculate on the essence of electronic collection studies as the key component of library e-science. They offer and substantiate the definitions of electronic document and electronic document in library collection. The ways to acquire e-documents to the libraries are discussed. One of the goals of e-collection studies is to adapt traditional concepts for electronic documents acquired by modern libraries; to describe key processes of e-collection development and use, namely cataloguing, systematization, efficient arrangement in the library virtual space, e-document relegation from the collections, etc. The book market (including the market of audio books) transformations in the context of digitalization and corresponding provisions of e-collection studies are characterized, with the special attention given to the COVID-19 experiences. The role of e-documents within the mixed library and information infrastructure is reviewed: the need for theoretical insights into the problem is emphasized. The authors conclude that e-documents should be studied within the framework of electronic collection studies, the component of library e-science.
Bibliometamorphioses and Bibliologos in the transient world

To assess the socio-cultural, scientific and pedagogical novelty and significance of the annual reports of the international forum “Crimea”, read by Ya. L. Shraiberg in 2001–2021, the key words are used – the neologisms “bibliometamorphosis” and “Bibliologos”. Metamorphoses (transformations, transformations) embody the universal variability of the world, and at the same time its stability, since the transforming object does not disappear without a trace, but is transformed into a related entity. Therefore, a book or a library in today's changing world should remain a book and a library, despite external modernization, digitalization and globalization. Bibliometamorphic institutions are religion, ideology, science, art, education, which perform social information and communication functions through book communication (written texts). The bibliologos (literally, “book mind”) performs in a civilized society the function of a productive force that ensures the creation, preservation, and use of the bibliosphere. The bookish mind is realized in two ways: first, the animate Bibliologos in the form of social groups of subjects of the bibliosphere; secondly, the materialized Bibliologos in the form of scientific, educational, normative and administrative texts of intellectuals-scribes devoted to the bookish mind and culture. The animate Bibliologos is the collective mind of library, bibliographic and book professionals (practitioners, scientists, educators), government and commercial figures, bibliophiles, printing engineers, readers' asset directly involved in the production, transformation, preservation and distribution of written and printed works. The technical, political, humanistic metamorphoses of the Logos of modern Russia are considered in detail. The key role of libraries in the socio-cultural metamorphoses of the post-industrial society is shown. The article concludes with a call for continued regular review of library and information science and practice.
Fusion Based MR Images Denoising Technique Using Frequency Domain and Non-Local Means Filters

The non-invasive and non-ionizing properties of Magnetic Resonance Imaging (MRI) in addition to the associated good image quality as well as high resolution make MRI more attractive than many other medical imaging techniques. However, during the acquisition, transmission, compression and storage processes, the Magnetic Resonance (MR) images are corrupted by various types of noise and artifacts that degrade their visual quality. Most of the existing MR images denoising techniques give good quality images only when the noise density is low with their performances deteriorating as the noise power increases. The few methods that yield high quality images for all noise densities involve multiple complex and time-consuming processes. This paper proposes a computationally simple MR images denoising technique that consistently gives good denoising results for low as well as high noise densities. The proposed procedure fuses an MR image that is denoised by a Modified Discrete Fast Fourier Transform (MDFFT) filter with one that is denoised using a non-local means filter in frequency domain to yield a high quality output image. The main contribution of this proposed method is the employment of a novel image fusion approach that greatly improves the quality of the denoised image. The performance of the proposed technique is compared with those of the Wiener, median, adaptive median and the MDFFT filters. Objective metrics such as the Peak Signal-to-Noise Ratio (PSNR) and the Structural Similarity (SSIM) index were used in the performance assessments. The outcomes of these assessments showed that the proposed algorithm yielded images of higher quality in terms of the PSNR measure than the existing denoising techniques by at least 7.11 dB for a noise density of up to 0.5.
INTELIGÊNCIA AO MODO MULHER: PERCEPÇÕES DE MULHERES A RESPEITO DAS MUDANÇAS SOBRE SI MESMAS

The present work seeks to understand the concept of drive in the psychoanalytic perspective of Sigmund Freud and Jacques Lacan.For this understanding, we initially seek to read the concept of drive in his text Instincts and its Vicissitudes (FREUD, 1915) then the concept of Drive for Lacan in his Seminar 11 (1964) and in the text Observation on Daniel Lagache's report: " Psychoanalysis and personality structure presented" among others that also appear in the Writings, we also use other scholars for better understanding.
An Analysis on The Issues of The Frozen Estates in Kampong Bharu, Malaysia

Kampong Bharu, Malaysia which is categorized as Malay Reserve Land located in the 'Golden Triangle' and owned by Malays, is the most expensive Malay property in the country.However, it had been reported that there are more than RM60 billion frozen estates in Kampong Bharu alone.Although there are a lot of methods proposed to solve this issue, however, until now, the issue of frozen estates in Kampong Bharu still cannot be solved and the planning development has been pending until today.Therefore, this paper aims to analyse the constraints and issues preventing the estates in Kampong Bharu from being properly administered based on the qualitative and analysis through the relevant The research discovers a 20 years project, Kampong Bharu Detailed Development Master Plan (PITPKB) has been launched to carry out the development, but until now, the development has been pending since its earliest stage.In fact, Kampong Bharu Development Corporation Act 2011 (Act 733) was passed to implement policies, directives, and strategies about the development of the area of Kampong Bharu.Hence, the proactive efforts from the authorities to manage the frozen estates in Kampong Bharu must be done so that the productive elements of such estates would be activated to the advantage of the rightful beneficiaries and development of Kampong Bharu itself.
Dr. Faustus as a Morality Play

Dr. Faustus's tragic history embodies a play by Christopher Marlowe, in which a man sells his soul to the evil spirit for power and knowledge. The play begins with the hero at the height of his arrival and ends with his falling into grief, death and curse. Faust entered into a contract with Lucifer, 24 years of life on Earth will be allocated, during which time he will have Mephistopheles as his personal servant and attached to the use of magic; however, in the end, he will give his body and soul to Lucifer as a push and spend the rest of his time as a cursed man in hell. This transaction must be sealed in the form of a contract written in the blood of Faustus. After cutting off his arm, the wound heals divinely and the Latin words Homo, fuge! ("Man, run!") Then he shows up on it. Faust ignores the inscription while asserting that he has already cursed his actions so far, thus leaving nowhere to escape. Faust seems to repent in the end and regret his actions, yet it may be too late or irrelevant, because Mephistopheles takes his soul together, so Faust obviously goes to hell with him. The current research addressed "Dr.&nbsp;Faustus" as a morality play after explanation the importance of "morality play", and then its connection through this tragic drama.
The Relationship Between Organizational Silence and Job Burnout An analytical study of the opinions of a sample of Administrators staff in the Colleges of Salahaddin University/Erbil

This research aims to identify the type of relationship between organizational silence in its dimensions (fear of negative reactions, fear of managers, poor communication skills, lack of support for senior management) and job burnout in its four dimensions (emotional exhaustion, sag human feelings, low personal achievement, negative relationships) and starting from the problem of research with a number of intellectual questions about levels of organizational silence and its relationship to job burn, in order to try to address a realistic problem that directly affects the administrators working in the research colleges in Ja With Saladin. A virtual scheme has been prepared that includes the variables and dimensions of the research, in order to formulate a number of main and sub-hypotheses, and the questionnaire was drafted as a main tool for data collection, from which (156) forms were distributed to a sample of administrative staff at Salaheddine University colleges of total (200) staff, A single (150) were recovered from them, and as the researchers used descriptive statistical analysis to unload and process data, the research reached a group of conclusions, the most important of which is the existence of a correlation between dimensions and a positive moral impact between organizational silence and job burning, The research eventually reached some recommendations, the most important of which encourages workers to participate in decision-making, problem solving, creative opinions and at the same time to alleviate the pressures of work to not reach the stage of job burn
Cloud Computing Development Trends

AbstractKubernetes is a multi-tenant architecture. When multiple tenants or teams share a Kubernetes system, the system administrator needs to prevent the tenants from occupying resources and define resource allocation strategies. Kubernetes provides the API object ResourceQuota to implement resource quotas. ResourceQuota can not only act on CPU and memory, but also limit the number of Pods created. The computing resource quotas and resources supported by ResourceQuota are shown in Tables 7.4 and 7.5.
Storage Basics in Cloud Computing

AbstractIn computer science, the storage uses different applications to save data to certain media in a reasonable, secure, and efficient manner and ensure effective access. In general, storage has two meanings. On the one hand, it is a physical medium in which data resides temporarily or permanently.
OpenStack

AbstractTo meet user needs or availability requirements, cloud computing environments often require the flexibility to manage and use connected resources across multiple data centers and require robust cloud operating system architectures or software. Public or private organizations have developed many management frameworks within themselves to manage public resources. OpenStack is one of many commercial or open source cloud management software. OpenStack is the framework for building a cloud operating system, an open source project designed to provide software for the construction and management of public and private clouds, comprising a large number of peripheral components, integrating and managing a wide range of hardware devices, and hosting a variety of upper-level applications and services, resulting in a complete and robust cloud computing system.
Cloud Computing System

AbstractCloud computing is based on a variety of existing technologies and is a master of existing information technologies. Cloud computing has the characteristics of being technology-centric, and its architecture includes a variety of technical mechanisms. This chapter will start with four aspects: cloud infrastructure mechanism, cloud management mechanism, cloud security mechanism, and basic cloud architecture, and discuss some of the main technical mechanisms for building the foundation of cloud technology architecture.
Using Attribute-Based Access Control, Efficient Data Access in the Cloud with Authorized Search

The security and privacy issues regarding outsourcing data have risen significantly as cloud computing has grown in demand. Consequently, since data management has been delegated to an untrusted cloud server in the data outsourcing phase, data access control has been identified as a major problem in cloud storage systems. To overcome this problem, in this paper, the access control of cloud storage using an Attribute-Based Access Control (ABAC) approach is utilized. First, the data must be stored in the cloud and security must be strong for the user to access the data. This model takes into consideration some of the attributes of the cloud data stored in the authentication process that the database uses to maintain data around the recorded collections with the user's saved keys. The clusters have registry message permission codes, usernames, and group names, each with its own set of benefits. In advance, the data should be encrypted and transferred to the service provider as it establishes that the data is still secure. But in some cases, the supplier's security measures are disrupting. This result analysis the various parameters such as encryption time, decryption time, key generation time, and also time consumption. In cloud storage, the access control may verify the various existing method such as Ciphertext Policy Attribute-Based Encryption (CP-ABE) and Nth Truncated Ring Units (NTRU). The encryption time is 15% decreased by NTRU and 31% reduced by CP-ABE. The decryption time of the proposed method is 7.64% and 14% reduced by the existing method.
An Optimal Virtual Machine Placement Method in Cloud Computing Environment

Cloud computing is formally known as an Internet-centered computing technique used for computing purposes in the cloud network. It must compute on a system where an application may simultaneously run on many connected computers. Cloud computing uses computing resources to achieve the efficiency of data centres using the virtualization concept in the cloud. The load balancers consistently allocate the workloads to all the virtual machines in the cloud to avoid an overload situation. The virtualization process implements the instances from the physical state machines to fully utilize servers. Then the dynamic data centres encompass a stochastic modelling approach for resource optimization for high performance in a cloud computing environment. This paper defines the virtualization process for obtaining energy productivity in cloud data centres. The algorithm proposed involves a stochastic modelling approach in cloud data centres for resource optimization. The load balancing method is applied in the cloud data centres to obtain the appropriate efficiency.
Rules-based Expert System to Assist Physicians in Pre-laboratory Screening for the Diagnosis of Pulmonary Tuberculosis Disease in Rural Areas

Worldwide more than 1.5 to 2 million deaths from tuberculosis occur each year. Healthcare professionals face many challenges in delivering good healthcare with unattended automation in hospitals where multiple patients require physician attention. The expert system we have built is designed to help medical experts in the process of pre-laboratory screening for pulmonary tuberculosis. The architecture consists of a rule base, a patient knowledge base. These units interact with the inference engine, which receives patient data through a user interface. The result of the usability rating reveals that the system has a usability rating of 5.6 on a scale of 1-7. This is an indication of above average system performance. Our Tuberculosis Diagnosis Expert System is an effective solution for implementing a rule-based expert system designed with Exsys Corvid.
A Health Level and Risk Rating Monitoring System of Village Credit Institutions

As a financial institution that is very vulnerable to negative issues, Bali Governor Regulation No 44/2017, which regulates the management of an LPD (Village Credit Institution) directs that LPDs be managed carefully. Performance indicators that must be considered are the level of health and risk rating of the LPD, which are determined by a number of factors/components related to the financial condition and procedures for managing the LPD. The procedure for determining it is clear, but requires careful calculations and seems difficult for those who do not understand it. Knowledge of the level of health and risk rating will make it easier to find alternative solutions when the LPD has problems. Building a health level and risk rating monitoring system is a solution. The system is built using the Waterfall method with an object-oriented system approach. This system will greatly assist the manager and the supervisory team to maintain good LPD performance, and can quickly anticipate situations that cause the LPD's performance to decline, which is shown from the factors/components of the health level monitoring results and risk ratings by this system.