Reviewerly/exHarmony huggingface dataset:
Evolutionary Algorithms in Approximate Computing: A Survey

In recent years, many design automation methods have been developed to routinely create approximate implementations of circuits and programs that show excellent trade-offs between the quality of output and required resources. This paper deals with evolutionary approximation as one of the popular approximation methods. The paper provides the first survey of evolutionary algorithm (EA)-based approaches applied in the context of approximate computing. The survey reveals that EAs are primarily applied as multi-objective optimizers. We propose to divide these approaches into two main classes: (i) parameter optimization in which the EA optimizes a vector of system parameters, and (ii) synthesis and optimization in which EA is responsible for determining the architecture and parameters of the resulting system. The evolutionary approximation has been applied at all levels of design abstraction and in many different applications. The neural architecture search enabling the automated hardware-aware design of approximate deep neural networks was identified as a newly emerging topic in this area.
Testing Availability of Human and Technical Requirements for Knowledge Management Implementation in Moroccan Universities

Effectively handling knowledge is crucial for any organization to survive and prosper in the turbulent environments of the modern era. However, Effective knowledge management implementation requires the presence of organizational, Human, and Technological appropriate infrastructure. throughout, the literature Most authors cite (Management leadership and Information Technology).&#x0D; The main objective of this study was to verify the presence of success factors for (KM) implementation at the Moroccan universities via the Abdelmalek Essaadi University subject of this work.&#x0D; Through deductive reasoning approach and a quantitative working method, Using the questionnaire as a tool to collect data from a proportional random and representative sample of 88 teacher-researchers from the different institutions of the university under study. &#x0D; This paper presents empirical evidence of the positive relationship between (Management leadership, IT) and (KM) implementation at Moroccan universities with a Pearson correlation rate of R = 0.635 For Management leadership and 0.554 for Information Technology.&#x0D; Also, the results obtained show insufficiency presence of initiatives for (KM) application, with an average of 2.14 for leadership and 2.29 concerning (IT) according to the university's teachers.
Implementasi Algoritma Ant Tree Miner Untuk Klasifikasi Jenis Fauna

Classification is a field of data mining that has many methods, one of them is decision tree. Decision tree is proven to be able to classify many kinds of data such as image data and time series data. However, there are several obstacles that are often encountered in the decision tree method. Running time required for the execution of this algorithm is quite long, so this study proposed to use the ant tree miner algorithm which is a development algorithm from the C4.5 decision tree. Ant tree miner works by utilizing ant colony optimization in the process of building its tree structure. Use ant colony optimization expected can optimize the tree that will be formed. From the testing that have been carried out, an accuracy of about 95% is obtained in the process of classifying Zoo dataset with the number of ants between 60 - 90.
Taking up Tech Application Inputs to Manage Educational Linguistic Programs

The research study explores the range of possibilities that the use of [Microsoft-Word Document Window 10] offers in terms of Language Teaching and Learning, mainly grammar patterns [Adjectives] that can be acquired, treated, and traced through the features of the tech-applications that this Software has made available to the Education Sector. Through a language teaching and learning overview; an elaborated literature framework based on factors and characteristics of tech-application positiveness and educational respects is presented. The research-study was conducted by using a methodological review of research-works; Internet accredited webpages, language practices classroom, and a compilation of statistics-data from a survey given to Spanish foreign language learners. This study is beneficial to the current demand for groundbreaking tech-innovative foreign language academic practices.
Pengaruh efikasi diri siswa terhadap hasil belajar ekonomi dalam pembelajaran daring

In response to the Covid-19 pandemic, the Ministry of Education, through circular letter number 4 of 2020, notifies that the learning process is carried out from home through online learning. The time allocation carried out in online learning during the pandemic is shorter than the previous conventional learning. In the learning process, academic self-efficacy is very important. Through clear goals and self-confidence, academic self-efficacy can determine the success of academic behavior in the future. This article describes the research results on the effect of student self-efficacy on student learning outcomes in class X IPS SMAN 1 Sidoarjo on economics subjects in online learning. This type of research is explanatory and uses a quantitative approach. The population in this study was 109 students of class X Social Sciences at SMA Negeri 1 Sidoarjo. In comparison, the sample in this study was 85 students selected using a simple random sampling technique. Data collection techniques used are questionnaires and documentation. The data analysis technique used in this research is descriptive statistical analysis, which includes prerequisite analysis tests (normality test and linearity test) and simple regression analysis. This study indicates that the self-efficacy of class X IPS students at SMA Negeri 1 Sidoarjo does not affect economic learning outcomes in online learning.
CYCLE OF WRITING PROPHECY: EXPLORING BELIEFS AND FEAR IN ACADEMIC WRITING

The fear of writing stems from many reasons. Some fear the process, some fear the product, while others fear the reaction given towards their writing product. Past researchers have done many studies that investigate many angles of writing. When it comes to writing, the self-imposed belief (positive or negative) is dependent on other imposed expectations (positive or negative). This in turn affects the end result of the writing assignment. This study is done to investigate the cycle of writing prophecy and explore how this cycle is influenced by the writers’ beliefs and fear. 108 participants were purposely chosen from a few groups of students who registered for an academic writing course, they were asked to respond to the instrument. The instrument used is a survey (table 1). The survey has 5 sections. Section A is about demographic profile. Section B has 9 items on Beliefs. Section C has 15 items on Writing apprehension. Section B has 7 items on Behaviour, and section E has 25 items on result. Findings bear interesting pedagogical implications towards the teaching and learning of writing.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0852/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
An H-CSO Algorithm for Workflow Scheduling in Heterogeneous Cloud Environment

Cloud computing technology is becoming popular in both academia and industries these days because of its dynamic and flexible infrastructure which provides good computing facilities through web networks without a place specification.In order to process the workflows, the cloud technology uses datacenters which consist of hosts having various homogeneous and heterogeneous virtual machines.Virtual machines play the role of real machines with multiple operating systems environments.Due to a wide acceptance of the cloud, the load on the cloud is increasing regularly.So, scheduling plays a key role to manage a machine load by mapping several workflows with available virtual machines.The scheduling can be divided into two types: dynamic and static scheduling.Dynamic scheduling can be done effectively by meta-heuristic computing techniques.In the field of cloud computing, many scientists have developed various algorithms for workflow scheduling in order to schedule the workflows.The Cat Swarm Optimization works fine as compared to the Max-Min algorithm, Particle Swarm, and Ant Colony Optimization algorithms.In this research, a new algorithm is designed named H-CSO by using the concept of Heterogeneous Earliest Finish Time and Cat Swarm Optimization algorithms.After experiments, it is found that the proposed H-CSO algorithm gives efficient makespan at realistic costs as matched to the Cat Swarm Optimization.The newly designed H-CSO algorithm is 2.99%, 2.87%, 3.35%, and 5.77% efficient for CyberShake_1000, Montage_1000, Inspiral_1000, and Sipht_1000 datasets respectively as compared to the standard Cat Swarm Optimization in terms of average makespan reduction.In case of cost reduction, the proposed algorithm is 4.03%, 5.12%, 2.42%, and 3.93 effective as compared to the Cat Swarm Optimization for CyberShake_1000, Montage_1000, Inspiral_1000, and Sipht_1000 datasets respectively.
Color Detection of RGB Images Using Python and OPENCV

Abstract: This application intent is to accomplish the explicit strategy to recognize the miscellaneous shades of colors precisely. According to study of sciences, a normal healthy human can identify and differentiate nearly one million shades of color. But it is impossible for an individual having “enchroma”. It is indispensable for a painter to recognize different color patterns precisely to make realistic images Keywords: Enchroma, RGB value, OpenCv, pandas
QUANTUM JOURNALISM: PRINCIPLES OF METHODOLOGICAL INSTITUTIONALIZATION

The study aimed to formulate the basic principles of methodological formulation of quantum journalism concept (Latin –«quantum journalism», abbreviated –QJ with the pronunciation [k’udzei]; in Ukrainian –«kudzhei»).Methodology.In the group of general methods, the method of monistic idealism was chosen, this presupposes the primacy of the spirit. In line with monistic idealism, we rely on the concept of quantum infinity. Among the empirical methods, the axiomatic method and the hypothetical-deductive method were used. The first, the axiomatic method, allowed to put forward positions that did not require proof. On their basis, the theses that formed the axiomatic theory of the functioning of quantum journalism were derived. The hypothetical-deductive method became the basis for making a hypothesis and further proving its validity by deduction.Conclusions.According to the results of the research, the basic principles of methodological systemization of quantum journalism were formulated. When studying the theoretical foundations of quantum journalism, it is necessary to use the potential of quantum theory (mainly its Copenhagen interpretation). The study of practical activities within quantum journalism is carried out based on the position that the trends recorded in the field of the micro-world have their transformations in the macro world. Quantum journalism is considered a social institution, which is a theoretical and practical form of social activity of specialists in social communications and is based on ideas that are hypothetically formulated in mathematics and quantum mechanics. In quantum journalism, the unit of analysis (as well as the unit of measurement) is a synergetic-convergent and cross-transmedia unity, the elements of which alone (in isolation) cannot represent the total action, on the one hand, and which alone do not represent the characteristics of the set, on the other. Keywords: quantum journalism, methodological institutionalization, quantum mechanics, institutionalization.
Convolution algebra of superoperators and nonseparability witnesses for quantum operations

We define a product between quantum superoperators which is preserved under the Choi-Jamio{\l}kowski-Kraus-Sudarshan channel-state isomorphism. We then identify the product as the convolution on the space of superoperators, with respect to which the channel-state duality is also an algebra isomorphism. We find that any witness operator for detecting nonseparability of quantum operations on separated parties can be written entirely within the space of superoperators with the help of the convolution product.
Digital society and human with soft skills

The digitalization of society in the modern world is becoming the main carrier and source of social change. In conditions of instability and socio-political tension, education becomes extremely important, which will be united by common tasks and development prospects. In these conditions, it becomes necessary to have high-quality training of specialists with soft skills.
Effective Combination of Bert Model and Cross-Sentence Contexts in Aspect Extraction

The Aspect Extraction (AE) field investigates in collecting words which are sentiment aspects in sentences and documents. Despite the pandemic, the number of products purchased online is still growing, which means that the number of product reviews and comments is also increasing rapidly, so the role of the task is gradually crucial. Extract aspects in the text is a difficult task, that requires algorithms capable of deep capturing the semantics of the text. In this work, we combine two models of the two research groups, with the first using the BERT algorithm with multiple concatenated layers and the second using the strategies to enrich the dataset by itself in the training or testing phase. The source code is available on github.com, researchers can run it through scripts, modify it for further research also. https://github.com/leanhkhoi/AE_BERT_CROSS_SENTENCES
The Estimation of Risk on Cloud Computing Framework

The Cloud Service which is provided generates access to the present resources by service level agreements (SLA) which is formal, and they require proper balanced infrastructures in order to maximize the quality of service (QoS). They try to minimize and provide offer to the count of violations that are offered by the Service Level Agreements. The paper emphasizesonaproper or area of risk assessment which is specific to the applications related to cloud computing. The methods which are present with in a frame work that is to beused by service providers related to cloudand consumers related servicein order toprovide assessment of riskin case of deployment of serviceand the related operation. The paper also puts emphasis onthedifferentstages which are involved in the life cycle of services where assessment of risk takes place. This leads in the design and implementation of risk models which are in correspondence. The risk puts an impacton the architectural components providing specialem passion management which is holistic to provides upport at operation of services has been described. The assessor which is related to risk has been proven coeffective various evaluation provided through the experiments and its implementation which needs to be integrated in a toolk it environment provided by cloud computing.
Pengembangan E-Modul dengan Model Problem Based Learning pada Mata Pelajaran PAI

Learning during the current pandemic requires innovation so that students do not miss the material. One thing that teachers can do is develop e-modules. The purpose of the e-module is so that students can continue to study independently according to their respective speeds and abilities. Research method using the Borg and Gall model with 8 systematic steps. The results of the study show that the e-module can be used properly according to expert validation and students input.
Research on Self-Supervised Comparative Learning for Computer Vision

In recent years, self-supervised learning which does not require a large number of manual labels generate supervised signals through the data itself to attain the characterization learning of samples. Self-supervised learning solves the problem of learning semantic features from unlabeled data, and realizes pre-training of models in large data sets. Its significant advantages have been extensively studied by scholars in recent years. There are usually three types of self-supervised learning: “Generative, Contrastive, and Generative-Contrastive.” The model of the comparative learning method is relatively simple, and the performance of the current downstream task is comparable to that of the supervised learning method. Therefore, we propose a conceptual analysis framework: data augmentation pipeline, architectures, pretext tasks, comparison methods, semi-supervised fine-tuning. Based on this conceptual framework, we qualitatively analyze the existing comparative self-supervised learning methods for computer vision, and then further analyze its performance at different stages, and finally summarize the research status of self-supervised comparative learning methods in other fields.
Imbalanced Data Analysis of Adolescent Risk Behavior of Drug Abuse using Random Forest

Adolescence represents a period of self-searching and vulnerability to fall into risky behavior such as drug abuse.In Indonesia, the case of drug abuse by adolescents is high.Therefore, to know the factors behind it can be done using classification such as random forest.The data used in this research were adolescent risk behavior of drug abuse based on SKAP.The percentage of drug abuse among adolescents are 4.1% shows that there is an imbalanced class in the data.It is necessary to handle the imbalanced data by applying the SMOTE-N.This study will classify the adolescent risk behavior of drug abuse using random forest combine with SMOTE-N to handle the imbalanced class.The results show that the model using SMOTE-N is better because it can increase specificity and g-means.The variables affect the classification of drug abuse among adolescents are the age, sex, and psychology consequence.
Solar Activities over the Rainfall Pattern and Temperature Ranges in Nigeria

The impact of Sunspots Number (SSN)andTotal Solar Irradiance(TSI) on temperature and rainfall in Nigeria from 1970 to 2014, covering four synoptic stations: PortHarcourt (PH) (4.51 0 N, 7.10 0 E), Enugu (ENU) (6.28 0 N, 7.33 0 E), Ilorin (IRN) (8.29 0 E, 4.35 0 E) and Sokoto (SKT) (13.01 0 N, 5.15 0 E) are here presented.The annual relationship between the climatic parameters is compared with the solar parameters graphically using annual mean of both variables.A non -parametric statistical correlation was used to delineate the degree of dependence of the climatic parameters on the solar parameter.The result obtained from the graphical comparison strongly indicates that temperature increases with increased in solar activities and vice versa.It is found that precipitation exhibits significant increase with decreasing solar activity.The correlation results signify a positive correlation between solar activities and temperature and an inverse correlation between solar activity and precipitation.From the analysis, we infer that, despite human activities, solar activities play important roles in climate change observed in Nigeria this effect should not be ignored in analyzing the pattern of temperature and temperature in Nigeria.
A Blended Grammar Learning System Featuring Unsupervised Pattern Discovery

Recent developments in cognitive and psycholinguistic research postulate that language learning is essentially the learning of grammatical construc-tions. An important type of grammatical construction with wide-ranging pedagogical implications is grammar patterns as laid out in Pattern Gram-mar. While grammar patterns have seen increasing adoption in language pedagogy, existing applications typically follow a paper-based, teacher-centered approach to instruction, which is known to be less effective in grammar learning than blended, learner-centered approaches. &#x0D; In this paper, we propose a blended learning model that integrates web-based technology with classroom-based instruction to facilitate efficient, personalized grammar learning. We present the design and implementation of a blended grammar learning system that provides customizable learning materials for individual learners by discovering important grammar patterns from corpora in an unsupervised manner. Preliminary evaluation shows that the proposed system achieves an accuracy in pattern discovery comparable to systems that rely on manually precompiled pattern lists and hard-coded rules. With a flexible architecture and an easy-to-use interface, the system can play a key role in the creation of a blended learning environment that can be integrated into a wide range of language learning curricula.
BASIS OF PSYCHOLOGICAL AND PROFESSIONAL PERSONALITY DEVELOPMENT OF FUTURE EDUCATIONAL PSYCHOLOGISTS

Changes in the system of higher professional education that are currently taking place are associated with the search and creation of psychological and pedagogical conditions for the formation of general and professional competencies that allow future specialists to realize their personal and creative potential. Therefore, the main objective of the paper was to analyze the basics of the psychological and professional personality development of future teachers-psychologists. To achieve this objective, the authors employed the analysis method, subject-activity, and personality-oriented methodological approaches. It was established that the physiological and professional development of educational psychologists, especially in the early stages, plays a decisive role in laying the foundations for the welfare of the community. It was determined that to solve psychological problems (of adults and children), practitioners require in-depth knowledge of the discipline, the application of creative skills. The becoming of a teacher-psychologist continues throughout their entire professional career. The university lays the foundation for professionally significant and personal qualities of a specialist, which subsequently ensure the professional becoming of the personality in the process of psychological and pedagogical activity. Based on the graphic data, the authors established the features of the development of the main components and their relationship in the structure of personal readiness. The presented research will contribute to the maturation of personal readiness for the professional activities of future teachers-psychologists.
Konseling Individual Menggunakan Teknik WDEP untuk Meningkatkan Keterampilan Belajar Siswa

Learning skills are very important in learning, because with learning skills students can learn well and get maximum results. Learning skills as an asset in improving the quality of student learning. This study uses an action research method to provide an overview of the solution to the problem of low student learning skills in vocational high schools. Students are able to improve their learning skills through the technique WDEP System. This technique of WDEP improving can raise awareness of the important learning skills by conducting self-evaluations by exploring and assessing student behaviors, especially irresponsible behavior that results in low learning skills. After knowing and assessing their behavior, students together with the supervising teacher make plans for more responsible future behavior, in which there is a commitment between the supervising teacher and students. With this commitment, students are required to be responsible for the plans they have made. This will certainly help students improve their learning skills by emphasizing their responsibilities as students.