Reviewerly/exHarmony huggingface dataset:
Corporate Social Responsibility and Profitability in the Banking Sector: The Case of Selected Private Banks in Ethiopia

In this article, we explore the relationship between corporate social responsibility and profitability with particular reference to Ethiopian financial industry. In line with this, the paper investigated the practice of corporate social responsibility and its impact on profitability in two private banks in Ethiopia. The study used two sampling phases. The first one is to sample out the two banks among the sixteen private banks operated in the country and the second phase is to select number of respondents within the selected banks. According to National Bank of Ethiopia, (NBE, 2020) annual report among the sixteen private commercial banks operated in the country, six of them were operated in the industry for more than 20 years and two banks namely Dashen and United banks were randomly selected for the study. The study used questionnaires as an instrument for data collection and the Cronbach alpha test was used to test the reliability of the instrument. Correlation analysis was carried out to identify the nature of strength and direction of the relationship between the independent variables (philanthropic, ethical, legal and economic responsibilities) and the dependent variables (profitability), regression analysis was also employed to determine the degree in which the dependent variable can be predicated or explained from the independent variables. The finding reveals that ethical, philanthropic, legal and economic responsibilities of CSR dimension have a positive and significant impact on profitability of the banks. Furthermore, the overall finding of the study suggested that CSR practice of banks has a significant impact on the level of their profitability. The study recommends that banks should improve their efforts exerted towards their CSR practice in order to enhance their profitability.
Early cancer predictions using ensembles of machine learning and deep learning

: Cancer is the most frequent cause that is responsible for large number of deaths globally. According to the report published in 2018 by the international agency of research on cancer, one man in five and one women in six in the whole world develops cancer during their life. One in eight men and one in eleven women in the whole world die of cancer each year. Lung cancer and breast cancer are two major types of cancer with the highest numbers of new cases. Breast cancer is a prevalent and the second most deadly disease among women after lung cancers that are responsible for deaths. Survival of cancer patients largely depends on timely and accurate diagnosis of disease. In literature, various machine learning (ML) techniques are applied for breast cancer prediction. ML techniques utilize past data for the prediction of disease. Identification of tumors as benign and malignant is a crucial part in the detection of cancer and is considered as a classification problem. In this chapter, ensemble- based techniques and deep learning (DL) techniques are used for lung and breast cancer prediction. Two datasets, Wisconsin and Coimbra, obtained from wellknown UCI ML repository are used for experimental purposes. Ensemble techniques are used to make effective classifiers with improved prediction capability. Generally, ML classifiers like Logistic regression (LR), random forest (RF), naïve Bayes (NB), and support vector machine are used for prediction. Combinations of different classifiers are used to enhance the performance of single classifier, and combined classifier is known as an ensemble. In recent years, a subfield of ML, DL, has emerged as a promising area with several techniques that have drastically boosted the performances of models that have caught the attention of researchers. DL originated from neural network. Although DL techniques have shown very good performance on different types of problems, they are computationally intensive. In this chapter, ensemble ML techniques have shown best performance on two cancer datasets, Coimbra and lung cancer datasets, while deep neural network has shown best results for Wisconsin dataset, and ensemble technique is very close to it.
Penerapan Metode Pembelajaran Cooperative Integreted Reading and Composition untuk Meningkatkan Hasil Belajar Mata Pelajaran Pendidikan Agama Islam pada Siswa Kelas Viii Smp Negeri 1 Padang Tualang

Mawaddatul Haniah. Application of Cooperative Integrated Reading And Composition Learning Methods to Improve Learning Outcomes of Islamic Religious Education Subjects for Class VIII Students of SMP N 1 Padang Tualang.The background of this research is that based on the identification carried out by the researchers at the research location, namely: There is still a lack of learning outcomes, it is proven that there are many students of class VIII SMP Negeri 1 Padang Tualang whose scores are below the Minimum completeness criteria. The objectives of this research are: To find out how the students' learning methods in Islamic Religious Education (PAI) class VIII SMP N 1 Padang Tualang before and after using the cooperative integrated reading and composition learning method. This research was conducted in the form of classroom action research. According to the type of research chosen, namely classroom action research, this research uses an action research model in the form of a spiral and from one cycle to the next. The results of this study are: Student learning outcomes in the subject of Islamic Religious Education class VIII SMP Negeri 1 Padang Tualang after using the Cooperative Integrated Reading And Composition learning model have increased, In the analysis of the test results of cycles I and II it can be seen that there is an increase in learning outcomes students, namely in cycle one students who have a complete score of only 20 students or 80% and in the second cycle students who complete 100%.&#x0D; .
Big Data Management based on Cloud Computing in the Libraries of First Level Universities in Iran

Introduction: Big data is a set of data that, with its special features, cannot be stored, managed and processed by conventional software systems. Cloud computing is a collection of virtualized resources with easy access and usability. Cloud-based storage technology is able to effectively manage big data. The purpose of this study is to determine the current status of libraries big data management based on cloud computing and its Component ranking in the libraries of first level universities in IranMethodology: The present study is an applied and in terms of nature, method and control of variables is a descriptive research. The statistical population includes all librarians working in the libraries of first level universities in Iran, 520 people. The questionnaire was provided to the respondents electronically and a total of 393 questionnaires were received and analyzed. Data collection tool is a researcher-made questionnaire that examines previous studies of six main components affecting the libraries big data management based on cloud computing in the libraries of first level universities in Iran that including manpower, organization, infrastructure, economic issues, culture and data management was identified, which was confirmed through confirmatory factor analysis. To analyze data from descriptive and inferential statistics with software Spss 22 and Amos 22 were used.Findings: The current situation of library data management based on cloud computing in the libraries of Iran's top-level universities was considered unfavorable from the librarians' point of view, with an average of 23.582 and a standard deviation of 7.655 equal to -0.41730. Ranking the components of the current situation from strength to weakness, respectively 1. Manpower With a factor loading rate of 0.64, 2. Economic issues with a factor loading rate of0.60, 3. Infrastructure With a factor loading rate of0.59, 4. Data Management With a factor loading rate of0.58, 5. Culture With a factor loading rate of 0.57 6. Organizations With a factor loading rate of 0.52 are located.Conclusion: Librarians are practically dealing with big data because of their day-to-day dealings with very large volumes of data. Matching the average budget of these libraries with the current needs and providing the necessary funds for the digitization of resources and the existence of appropriate legal hardware and software infrastructure, it can pave the way for the necessary steps to take advantage of cloud-based storage services. Most librarians, while understanding the culture of free access to information, understand the importance of providing analyzed data to clients, but clients' perception of receiving such data is moderate. Low awareness and understanding of officials and unwillingness to interact and cooperate with organizations active in this field, does not provide a stable environment to work with big data and provide services based on them.
The Voice of the Operating System in the Spike Jonze Film Her as a Hyperreal Object of Love

The article raises the topic of “new sensuality” (“new sensualism”) as a phenomenon that revived the sentimentalism of the 1960s movie drama in the computer age and was embodied in a number of films of the last decade. In such films as Blade Runner 2049 (dir. Denis Villeneuve, 2017), Ex machina (dir. Alex Garland, 2015), I’m Here (dir. Spike Jonze, 2010) robots, replicant androids, and even laser projections act as men and women; and in the Spike Jonze film Her (2013), the main character, although a real man named Theodore, falls in love with the voice of the operating system Samantha, an affair with which becomes more real and valuable for him than anything he has previously experienced in relationships with real women. The plot of the film provides the basis for further practical and theoretical development of the film image of “akousmêtre”, a voice without a body. Digital technologies embodied in the film provide an opportunity to apply and rethink the concept of corporeality, which is relevant in phenomenological aesthetics, as well as to develop the meaning of synesthetic perception in the modern art space. At a new level of correlation between reality and virtuality, the ideas of dialogism that developed within the framework of philosophical anthropology in the twentieth century can be applied in the analysis of the film. Thus, the material of the presented films allows us to expand the art history discourse and raise a number of issues that are relevant not only for the screen arts of the 21st century, but also for people living in the world of digital technologies, but who have not lost the need for genuine human feelings.
Pengembangan Media Komik Interaktif Cerita Mbojo Berbasis Gerakan Literasi Sekolah untuk Meningkatkan Minat Baca Siswa

Reading is part of literacy in the lower grades carried out at school. At the elementary school level, literacy activities are the starting point for understanding other sciences. The success of the early stages is crucial for advancing to the next level. Effective literacy teaching in the early grades needs to pay attention to the learning environment and materials that suit the needs of students so that researchers are interested in conducting development research in this study specifically for low-grade students and for the place of research that is carried out at SDN Sari Kalampa. The development of interactive comic media for the Mbojo story based on the school literacy movement to increase students' reading interest carried out at SDN Sari Kalampa, Woha District, Bima Regency is very necessary. The purpose of this study is to find out the importance of using or developing a comic medium for the Mbojo story where this media will be reading material that aims to increase literacy activities. The results showed that the learning media for interactive comics based on the mbojo story based on the school literacy movement could increase students' reading interest with the average score of student responses being which was included in the "very good" category and the teacher's response was which meant the "very good" category.
Del laboratorio al aula: Técnicas de animación stop-motion para educadores de secundaria y bachillerato

espanolDesde 2014, los Dres. Orfila (Historia del Arte) y Ortega (Diseno Grafico) trabajan en un proyecto de investigacion y docencia que explora la historia y teoria de la animacion. El componente practico de su colaboracion son los Talleres de Creacion de Animaciones (AMW), una empresa que busca establecer la efectividad del proceso de creacion de animaciones como un agente transformador en contextos terapeuticos, educativos y sociales a traves de la investigacion basada en datos. El metodo AMW se centra en el uso de animacion stop-motion, un termino general que describe una amplia gama de tecnicas de animacion en las que la animacion se captura un cuadro a la vez. El stop-motion asocia el proceso fisico de hacer, la experiencia tactil de trabajar con materiales y el desarrollo de las habilidades motoras y la conciencia corporal con la inclusion creativa de tecnologia accesible. Este documento se concentra en los talleres para maestros de escuelas intermedias y secundarias del Distrito Escolar Independiente de Lubbock (Texas, EE. UU.) realizados en el verano de 2021, y examina el uso de la animacion stop-motion como herramienta pedagogica para el desarrollo de la alfabetizacion multimodal en estudiantes como asi como una valiosa metodologia de investigacion para los profesores. EnglishSince 2014, Drs. Orfila (Art History) and Ortega (Graphic Design) work on a research and teaching project that explores the history and theory of animation. The practical component of their collaboration is the Animation-Making Workshops (AMW), an undertaking that seeks to establish the effectiveness of the animation-making process as a transformational agent in therapeutic, educational, and social contexts through data driven research. The AMW method centers on the use of stop-motion animation, an umbrella term that describes a wide range of animation techniques in which animation is captured one frame at a time. Stop-motion associates the physical process of “making,” the tactile experience of working with materials, and the development of motor skills and body awareness with the creative inclusion of accessible technology. This paper concentrates on the workshops for Middle and High School Teachers from the Lubbock Independent School District (Texas, US) conducted in Summer 2021, and examines the use of stop-motion animation as a pedagogical tool for the development of multimodal literacy in students as well as a valuable research methodology for teachers.
Pemerolehan Bahasa Pertama terhadap Anak Usia 2 sampai 4 Tahun Menurut Tataran Morfologi dan Sintaksis

Language is the main means of communication in human life in this world, both in the form of writing, spoken or only in the form of certain symbols. Without language, humans cannot communicate because humans are social creatures who inevitably have to interact with other humans. Language acquisition in humans begins when children learn to speak. Language acquisition in every child is not the same, according to his age. In this study, children's language acquisition will be studied in terms of morphology and syntax. This study uses a descriptive research method because the research contains an overview of the stage of language pronunciation in children. The data collection technique uses a method with a proficient technique by recording and recording the words spoken by the child. Conclusions in general in the language acquisition of children aged 2 to 4 years can be developed with the stages of morphology and syntax. The researcher found that the process of acquiring discussion was the first at the age of 2 to 4 years, namely the acquisition of morphology, the emergence of free morefemale forms. Second, the acquisition of syntax, the child is able to say several words that can become one word. Third, at the age of 2 to 4 years, the acquisition of morphology and syntax of children begins to perfect in vowel sounds and is also accompanied by consonant sounds.
DEVELOPMENT AND VALIDATION OF A SCALE FOR MEASURING TEACHERS' DIGITAL CITIZENSHIP LITERACY.

The evolution that has taken place in the last thirty years concerning technology has led to important changes in everyday life (Piceci, 2020). These changes moved the attention to the concept of digital technologies, in particular the tools daily used. The European Union has implemented various interventions to promote the dissemination of digital culture through the European Digital Agenda with its emanations in the individual states of the Union, focusing on the availability of IT resources both from an infrastructural and information points of view. Concerning the concept of digital skills, EU created a first document in 2013 (Ferrari, 2013) then updated in 2017 with digiCom 2.1 (Carretero, Vuorikari & Punie, 2017) with the purpose of making a clear enumeration and definition. This study, starting from DigiComp 2.1, presents the process of creation and validation of the Italian Questionnaire on Digital Citizenship Skills for Teachers (Questionario sulle Competenze della Cittadinanza Digitale - QCCD). The sample used is made up of 351 teachers or student training to become teachers. Confirmatory Factor Analysis was performed to study the replicability of the factor structure obtained by EFA and it showed satisfactory goodness of fit indices for the hypothesized one-factor structure. Chi square (  = 388.8, df = 189, p < .001) value and very positive goodness of fit indices (CFI = .988, TLI = .0987 SRMR = 0.069, RMSEA = 0.055). Results of content and construct validity were also adequate and complemented a very strong internal consistence of the measurement tool.
Analysis on Clarity and Correctness of Google Translate in Translating an Indonesian Article Into English

The objective of this study is to analyze the aspects of clarity and correctness in Google Translate’s ability in translating an Indonesian article from English into Indonesian. This research refers to qualitative research. Data used in this research is a published Indonesian article which is translated into English by using Google Translate. Based on the analysis, the researcher concludes that Google Translate is a machine translator, but there is always going to be potentially less clarity and correctness at the end of the translation product such as in Indonesian articles into English. Because English grammar is a complicated thing to be learned, people perhaps cannot expect more that machine translator understands every aspect of the way human beings communicate with each other. That is why the answer about the clarity and the correctness of Google Translate is that it still has a way to go before it can consistently, clearly, and correctly translate the language without errors. In the clarity aspect, there is still no clarity in English translation by Google Translate, even it translated the language word-for-word. In the correctness aspect, it refers to the mechanical rule in writing which is related to grammar, punctuation, and spelling. Some examples of noncorrectness are related to grammar and punctuation errors. Machine translators have come a long way in a short amount of time, but some features still lack good translation such as in aspects of grammar and punctuation.
Pedagogical professional education for students of Hanoi National University of Education to meet the requirements of innovation and improve the quality of teacher training

Nowadays, the modern world sets more requirements for the teacher position, especially in  professionalism - a decisive element affecting the success and failure in pedagogy firms. The objective of the research: find effective solutions aiming at improving the quality of pedagogical professionalism education for students of Hanoi National University of Education, Vietnam, to meet the requirements of social innovation as well as upgrade the standards in teacher training. Research Methodology: We surveyed to collect information on the current status of pedagogical professionalism education for students of the Faculty of Psychology and Pedagogy in HNUE, Vietnam. Students: 203 people, including 95 male students and 108 female students (Students participating in the survey, concerning school years, are divided into 4 relatively even groups: first-year students; second-year students; third-year students and fourth-year students.Directors and lecturers in the Faculty of Psychology and Pedagogy in HNUE: 18 people. In which, the proportion of females has 15 directors and lecturers (accounting for 83.3%), the proportion of males has 3 officers and lecturers (accounting for 16.7%). The type of method that is used in this survey is a questionnaire. The phrase questionnaire refers to the set of questions you are asking an individual. A survey is the process of gathering, analyzing, and interpreting information from a large number of people. Its goal is to discover information about a group of people. We created 2 opinion poll samples. They are almost similar except for the target responders. One is for students and the other is for directors and teachers.Research results: Solutions proposed by the research team for implementation at HNUE: Solution 1: The organizations should improve training to raise awareness of the value of Pedagogical professionalism among administrators, lecturers, and students and the educating process of Pedagogical professionalism for students at HNUE’s department of Psychology – Education; Solution 2: The leading department must implement a strategy for training Pedagogical professionalism for students at the University of Education’s Psychology – Education department; Solution 3: School administrators need to build more discussion to develop and execute strategies to support Pedagogical professionalism; Solution 4: Guarantee for students at the University of Education to have the resources they have to participate in the process of improving Pedagogical professionalism; Solution 5: Checking, evaluating, and adjusting the process of developing pedagogical professionalism for students in the University of Education’s Psychology – Education department.
Secure Blockchain Decentralized Voting for Verified Users

The paper focuses onintroducing a decentralized e-voting scheme that uses blockchain to achieve security and anonymity. A blockchain network based on Ethereum was applied, to provide a decentralized and distributed database based on the Peer-to-Peer architecture. During the implementation, smart contractswere used. Thanks to this, it is possible to code the terms of the contract required to perform the transaction. The proof-of-conceptimplementation uses the blind signature protocol and encryption with the RSA algorithm. Presented in this paper scheme for blockchain decentralized voting is fully implemented and potential issues are analyzed and discussed.
IMPLEMENTING PERSONAL VOCABULARY NOTES TO DEVELOP VOCABULARY MASTERY ON EIGHT GRADE STUDENTS OF SMP NEGERI 4 KADATUA

The research is conducted to find out the significant difference between the vocabulary mastery of students who are taught using the personal vocabulary note method and those taught using conventional methods. This research used experimental design. The population in this research is 33 students of class VIII SMP Negeri 4 Kadatua that consisted of 2 classes. The sample was taken by using a sample group consisting of 16 students in the experimental class, and 17 students for the control class. The instrument used in this study was a vocabulary test. The results of this study indicate that: 1) the mean score of the pretest in experimental class was 43.18 and the final test was 71.87; 2) the mean score of the control class in pretest was 44.70 and the final test was 64.11; and 3) Hypothesis testing has a significance of 0.23 which is smaller than α 0.05. Based on these results, it can be concluded that there is a significant difference in the vocabulary mastery of students who are taught using the personal vocabulary note method and taught using conventional methods in class VIII students of SMP Negeri 4 Kadatua.