Reviewerly/exHarmony huggingface dataset:
The Impact of Leadership on Organizational Learning via CSR and Organizational Innovativeness in Lebanese SMEs

Purpose-This paper investigates the firm-level benefits, especially for Lebanese small and medium enterprises (SMEs), of offering employees actions that are consistent with their sound values in addition to intellectual simulation within an innovative environment. It also evaluates variations in perceived effects of implementing service and transformational leadership on organizational learning, and examines the effect of causal factors such as perceived organizational innovativeness and CSR. Design/methodology/approach -A large convenient sample of 284 front-line managers was surveyed, using a 15-item instrument based on previous research. The researchers used factor analysis to ascertain construct validity, based on two suitability tests: the Kaisers-Meyer-Olkin (KMO) measure of sampling adequacy and the Bartless test of sphericity. The dimensions were found to be reliable, with Cronbach’s alpha ranging between 0.70 and 0.95. Findings- Findings from path analysis support the research hypotheses that impact of the direct and positive effect of leadership on organizational learning is strengthened via the mediating variables: CSR and innovativeness.Originality-This article empirically correlates two main fields of management research within the context of a developing country: leadership and organizational learning with focus on changing behavior.
Development Study of Deep Learning Facial Age Estimation

Human age estimation is one of the most challenging problem because it can be used in many applications relating to age such as age-specific movies, age-specific computer applications or website, etc. This paper will contribute to give brief information about development of age estimation researches using deep learning. We explore three recent journal papers that give significant contribution in age estimation using deep learning. From these papers, they selected classification methods and there is gradual improvement in result and also in selected loss function. The best result gives MAE (mean average error) 2.8 years and VGG-16 is the most selected CNN architecture.
Designing an independently installed educational standard for ‘Teacher Education’

The problem of creating self-established educational standards (SES) is considered by the authors associated with the need to ensure the quality of educational programs and quality of preparation of the future teacher to solve new professional problems. The present work is aimed at scientifically recognising the technology of designing SES. Research methods: theoretical (analysis, synthesis and modelling) and empirical: survey methods (questioning and interviewing). Based on the results of employers' satisfaction survey (n = 112), the quality of teacher training and self-assessment of the preparation of graduates of a pedagogical university (n = 123) to perform work functions were defined an algorithm for developing SES in the direction of ‘Pedagogical education’, including analytical and diagnostic, modelling and reflexive stages. In general, the technology of preparing and introducing an SES ensures the integration of pedagogical science and practice and the development of continuous pedagogical education in the context of a regional scientific and educational cluster. Keywords: Pedagogy, vocational education, pedagogical education, teacher education
Sistem Crowdsourcing sebagai Pembentuk Ulang Cara Kerja dan Distribusi Karya Desain Grafis

Graphic design developed according to technological developments. Likewise, the way of working and how to disseminate graphic design works is very dependent on technological developments in each age. Graphic design is also a means of communication and plays an important role in marketing the products of industrial products. At the age called the Industrial Revolution 4.0 when digital technology became an integral part of people's lives, graphic design also influenced by this development. Both the way of working and the way to distribute graphic design work experienced a very significant change compared to the previous period of technological development. However, this new system, despite being able to provide several profitable opportunities, still has the opposite side that is not as profitable as the crowdsourcing system. Keywords: graphic design, technology, crowdsourcing system.
Designing a Case Study Template for Theory Building

The case study methodology is often little detail known compare to quantitative methodology.Objective of this paper is used as a guideline to the novice researcher in designing and preparing qualitative case study methodology.This guideline will be used as a structure that govern the research.It is very useful for the novice researcher in uniformity of the procedure starting from Model Development until Model Refinement phase.The content is based on the author experience from conducting case study.This Case Study Template will enable the novice researcher to execute their case study with strategies.This guideline not only practical but consistent for conducting case study for theory building.
Cooperative Integrated Reading and Composition (CIRC) and Jigsaw: Which is More Effective on EFL Reading

The objective of this research was to find out the significant difference of two learning method from cooperative learning; those are Cooperative Integrated Reading and Composition (CIRC) and Jigsaw method and which method is more effective in EFL reading comprehension. This research used a quantitative approach by applying a quasi-experimental method. The data were collected from two classes at grade eight students of SMP Negeri 3 Baubau, Southeast Sulawesi in the school year of 2018/2019 using test. The test was applied twice; those were pretest and posttest for each class. The results indicated that there was not any significant difference in EFL reading comprehension between CIRC and Jigsaw group. But, the range between pretest and posttest for each class indicated the Jigsaw method was more effective than the CIRC group since the mean score of EFL reading comprehension in Jigsaw group was greater than the CIRC group.
Accelerometer-based Activity Recognition: Reengineering Study

Topic: This study aims to invent a tool to detect human activities using the power of classifiers ensemble approach to recognize activities based on accelerometers measures.Further classifiers performances were compared and analyzed for the aim of obtaining a magnificent physical activities recognition performance.Methodology: Accelerometer sensors of smartphones were used to recognize specific human activities.WEKA machine learning software was used to run the experiments.Average of probabilistic combining rule was used to combine Multilayer perceptron (MLP), Decision tree (J48), and Logistic regression techniques.This model is about using the voting algorithm to combine the power of those three classifiers.The reproduced voting results were then compared with few extra classification algorithms proposed in this article such as KNN, K Star, Random Forest, Naïve Bayes, Decision table, and PART.The additional ensemble techniques are Boosting, Bagging, and Stacking.10-fold cross validation was used to validate accuracies of the resulted models.Confusion matrices of each classifier were obtained and analyzed.For models' evaluation, accuracy, F-measure, and Area Under Curve (AUC) was calculated to evaluate models' performances in addition to Precision and Recall measures.A dataset of 5,418 instances was used.Results & Discussion: In general, the results of Accuracy, AUC, F-Measure, Recall, and precision shows that Random Forest classifier achieved the best performance compared to the authors proposed voting technique for all physical activities except for jogging (RF=98.40,Voting=99.60)and standing (94.30,Voting=97.20)even though the difference is limited to a maximum of 0.10% weighted score for RF.In addition, Bagging ensemble technique achieved considerably high scores similar to the voting technique with a difference of a maximum of 0.20% between both classifiers.On the other hand, Boosting and Stacking algorithms achieved the poorest performances among other classifiers ranging from 14.80% to 74.70%.
An improved clustering method for uncertain system

Uncertain system clustering is an important issue which is the base for mining real-world data in many fields. In this paper, we investigate the clustering problem of uncertain system, and propose an improved clustering algorithm. Here, our improved algorithm considers not only distance but also spatial direction in vector space of data points. The aim is to improve the accuracy of uncertain system clustering, especially when there exists overlap among border region of groups in vector space. Experiment results show that for uncertain physics systems, the improved algorithm can well increase the accuracy of uncertain system clustering compared with the traditional clustering method which is based on distance similarity. Maximum value of accuracy and [Formula: see text]-measure are increased by 21.1% and 13.3%, respectively. Moreover, the proposed algorithm has high robustness for noise.
Creating and evaluating web-based visualizations of multi-dimensional spatiotemporal data

Abstract. In this article, we present a method for visualizing multi-dimensional spatio-temporal data in an interactive web-based geovisualization. Our case study focuses on publicly available weather data in Germany. After processing the data with Python and desktop GIS, we integrated the data as web services in a browser-based application. This application displays several weather parameters with different types of visualisations, such as static maps, animated maps and charts. The usability of the web-based geovisualization was evaluated with a free-examination and a goal-directed task, using eye-tracking analysis. The evaluation focused on the question how people use static maps, animated maps and charts, dependent on different tasks. The results suggest that visualization elements such as animated maps, static maps and charts are particularly useful for certain types of tasks, and that more answering time correlates with less accurate answers.
A NEW INTEGRATED INFORMATION SEEKING MODEL BASED ON INCONGRUITY AND FOUR HUMOURS

There are various conceptual models or frameworks from different disciplines and domains. These models have ben built to give explanation to the related issues on information seeking and processing especially for the information and the knowledge oriented disciplines and domains. The models in literature dealt with different user groups and information seeking behaviors of these user groups. In this paper, with focusing on, an integrative conceptual model for information processing and seeking will be developed from the perspective of information systems modeling. Accordingly, this paper will first provide background information and suggest a new model based on these information sources. Then, the suggested model will be interlinked with the humoral theory in order to amplify its explanatory and integrative power. To build a suggestion model, this paper will also provide directions for possible new work. The suggested model is creating interlinked connection with the concept of incongruity and the humoral theory.
Solving the Binarization Challenges in Document Images Using OTSU Multilevel

This paper introduces a method for binarization of historical document images that suffer from non-uniform background, faint text, low contrast, stain, bleed-through, or shadow challenges.The proposed method adaptively detects the non-uniform background in the document image and eliminates it.Areas that contain missing text are adaptively identified and reprocessed separately.Stain and bleed-through objects are found depending on stroke width and locally binarized.Shadow is detected based on the image contrast.Otsu multilevel is applied for binarization.DIBCO series is used for testing.
Peningkatan Kemampuan Membaca Pemahaman Melalui Penerapan Metode Survey, Question, Read, Recite, and Review (SQ3R) pada Siswa Kelas III di SDN. No. 054/XI Muara Air Tahun 2016/2017

This study aims to improve the reading comprehension ability of grade III students at SDN. No. 054/XI Muara Air year 2016/2017 Through the Application of Survey, Question, Read, Recite, and Review (SQ3R) Methods. The research conducted is classroom action research. The study was conducted at SDN. No. 054/XI Muara Air, Kumun Debai District, Sungai Penuh City, Jambi Province. This study involved five third grade students. Classroom action research was conducted in two cycles, each cycle consisting of four activities, namely planning, implementation, observation, and reflection. The research data was collected through tests and processed using simple statistical tests. The results showed that the application of the SQ3R method can improve student learning activities. All students have been able to read reading material quickly and thoroughly, make questions based on the contents of the reading, write answers to questions that have been made, and dare to read the results in front of the class. In addition, students also have the courage to respond well to answering teacher questions and providing responses to the results of training from other students. The application of the SQ3R method can also improve student learning outcomes. The average value of students increased from 56.00 (pre-action) to 68.00 in Cycle I and 78.00 in Cycle II. In addition, student learning completeness also increased from 40.00% (pre-action) to 80.00% in Cycle I and 100.00% in Cycle II. Thus, the application of the SQ3R method can improve the reading comprehension ability of third grade students at SDN. No. 054/XI Muara Air year 2016/2017
Method for Adjusting Single-Plate Code Synchronizer under Dynamic Conditions

This paper is aimed at the single function of detecting and debugging single-board code synchronizer. It is difficult to meet the problem of dynamic reception of various types of arrow televisors. A new type of arrow telemetry solution can be proposed. Tuned single board code synchronizer adjustment method. On the basis of in-depth analysis of YH4 series code synchronizer frequency discrimination and phase discrimination principle, the key links affecting its dynamic performance - code ring reference clock, matched filter output passband voltage, symbol decision level, input signal The detection and debugging methods and working mechanism of the flat and baseline positions are described in detail.
Sectoral International Collaboration of Scientists of Belarus at the Initial Stage

Using the example of the Scopus database, an analysis of publications was conducted by Belarusian authors with the aim of studying the international scientific cooperation trends at the initial stage. Based on the use of scientometric and bibliometric methods – statistical, counting the number of publications, сindices, the number of co-authors and it was revealed that the share of single publications in the thematic collections of the database is extremely small, articles, which are presented, they had been published as the result of large-scale international projects and prepared with the participation of a large team of authors with the leading role of researchers in highly developed countries. The perspective of the international collective format of cooperation for publication of the scientific research results in journals with a high impact factor has been substantiated, which contributes to the citation of works and enhancing the scientific image of Belarusian authors.
MULTI-CLASS REGION MERGING FOR INTERACTIVE IMAGE SEGMENTATION USING HIERARCHICAL CLUSTERING ANALYSIS

In interactive image segmentation, distance calculation between regions and sequence of region merging is being an important thing that needs to be considered to obtain accurate segmentation results. Region merging without regard to label in Hierarchical Clustering Analysis causes the possibility of two different labels merged into a cluster and resulting errors in segmentation. This study proposes a new multi-class region merging strategy for interactive image segmentation using the Hierarchical Clustering Analysis. Marking is given to regions that are considered as objects and background, which are then referred as classes. A different label for each class is given to prevent any classes with different label merged into a cluster. Based on experiment, the mean value of ME and RAE for the results of segmentation using the proposed method are 0.035 and 0.083, respectively. Experimental results show that giving the label on each class is effectively used in multi-class region merging.
Refined Tensor Subspace Analysis

Tensor Subspace analysis (TSA) is a typical tensor space analysis method, which can obtain the projection matrix by building an adjacency graph to model the local geometrical structure of the manifold, and has been successfully applied in many practical problems. But the essential neighbor graph constructed suffers from the following issues: the k-neighbor is computed by the whole image matrix, which leads to the loss of the correlative local area information, the graph cannot express the geometrical and discriminative structures of the original data space accurately. Based on a general platform of graph embedding, we proposed a refined tensor subspace analysis (RTSA), which will better express the spatial structure information of the original image matrices, preserving the corresponding locally information. Real face recognition experiments show the superiority of our proposed RTSA in comparison to TSA, also for corresponding supervised and unsupervised extensions.
THE READABILITY IN ENGLISH ZONE TEXTBOOK FOR THE TENTH GRADE STUDENTS OF SMA N 2 BANDAR

This study was carried out to find out the readability level of the reading texts in English Zone textbook by using Flesch Reading Ease Formula and Cloze Test at the tenth-grade students of SMA N 2 Bandar. The population of this research was the tenth-grade students of SMA N 2 Bandar. The textbook consists of 181 pages with 29 reading texts in it. The researcher took 5 reading texts from the English textbook entitled English Zone published by Penerbit Erlangga and the tenth-grade students of 30 students as the sample. The method used in this study was descriptive analysis using quantitative data. The instruments of the research were Flesch Reading Ease Formula and Cloze Test. The data were analyzed using Flesch Reading Ease Formula which is focused on the average number of the syllables per words. The result of the analysis by using Flesch Reading Ease Formula is grouped into three levels which are Very Easy, Easy, and Fairly Easy. The average readability score for all texts is 82.6 which implies that the texts are in Fairly Easy Level. The result of the analysis by using Cloze Test, the average readability score of the five texts is 51.20% (Independent Level), the texts are predicted to be of appropriate difficulty. Thus, it could be concluded that the reading texts were in the English Zone textbook were not suitable to be used by the students at the tenth-grade students of SMA N 2 Bandar.
MODEL OF FORMING IDEOLOGICAL BELIEFS AMONG STUDENTS OF PEDAGOGICAL UNIVERSITIES BY MEANS OF ENVIRONMENTAL ACTIVITY

In the article in accordance with its purpose, the model of formation of ideological beliefs among students of pedagogical universities by means of environmental activities is considered and substantiated. In the process of research, a set of methods was used: analysis of historical, psychological, pedagogical, methodical literature, synthesis, comparison, classification, systematization and generalization of data, modeling. The essence of the concept «model», «modeling» in the scientific-pedagogical literature is revealed. The methodological and target block is composed of: a method that reflects the outcome of the model’s functioning, approaches (ideological, systemic, personality-activity) and principles (purposefulness, natural correspondence, activity and consciousness, practical orientation) of the process of forming ideological beliefs among students of pedagogical universities by means of environmental activity are highlighted. The content-procedural block is considered which takes into account the organization of the educational process, which is carried out at the preparatory, motivational and practical-activity stages, and involves the use of specially selected content, forms, methods and tools. The effective structural block of the model is presented which includes elements of the formation of worldview perspectives among students of pedagogical universities by means of environmental protection activities: value-motivational, cognitive-informational and activity-practical, their indicators – value systems, ecological knowledge and practical experience, as well as levels of their formation – high, medium, low, and, directly, the result itself: the formation of ideological beliefs among students by means of environmental activities. The pedagogical conditions, which coordinate the educational process for reaching the set goal are revealed.
A Hybrid Framework for Segmentation of MR Medical Images Using Adjusted Ant Colony Optimization

In this paper a new framework is suggested for segmentation of medical images (MRI) using hybrid optimization technique.This frame work includes de-nosing as image enhancement technique using discrete wavelet transform and initial segmentation is obtained by Hidden Markov random field model along with Kmeans clustering to get Maximum a posterior values (thresholds).The optimal solution for these thresholds is achieved by incorporating a new concept of Adjusted Ant colony optimization.Finally a fine segmentation is obtained.The algorithm is tested for some of the medical images and for validation purpose various parameters like accuracy, sensitivity, dice, Jaccard, are obtained.
STUDI KUALITAS MIKROBIOLOGI AIR SUMUR GALI SEBELUM DAN SESUDAH MENGGUNAKAN CHLORINE DIFFUSER DI DESA SELABAYA KECAMATAN KALIMANAH KABUPATEN PURBALINGGA TAHUN 2018

Well water dug from ground water often causes problems. Problems arise that is often found that the quality of groundwater used by the community is less qualified even in some places not worth to be consumed. For example ground water that smells, tastes, colored, turbid, contains iron (Fe) and Coliform (BPPT, 2010). The purpose of this research is to know the number of Coliform in digging well water, and to know the condition of sanitation of dug wells. The type of research used is descriptive research that aims to determine whether or not changes in dug well water after installation of chlorine diffuser in Selabaya Village Kalimanah District Purbalingga District in 2018. The results showed that the number of Coliform in dug well water still exist which is not in accordance with the applicable standards, after installed chlorine diffuser there are 3 dug wells are fixed, and there are 5 wells dug the water quality to be better. The results showed that the number of Coliform in dug well water still exist which is not in accordance with the applicable standards, after installed chlorine diffuser there are 3 dug wells are fixed, and there are 5 wells dug the water quality to be better. The conclusion that the quality of microbiology in Selabaya Village, Kalimanah District, Purbalingga Regency is obtained after the installation of chlorine diffuser water quality there is a better and there are still recommended to the community in order to use chlorine diffuser to disinfect well water dig.