Reviewerly/exHarmony huggingface dataset:
STUDI ANALISIS PEMIKIRAN SITI WALIDAH (NYAI AHMAD DAHLAN) DALAM PENDIDIKAN PEREMPUAN

This thesis aims to describe and analyze: (1) social conditions which aspects influenced the thinking of Siti Walidah (Nyai Ahmad Dahlan) against the education of women. (2) the contribution of the female education thinking according to Siti Walidah (Nyai Ahmad Dahlan), (3) relevance to education of women at this time. This type of research is qualitative research in the design of the library (library research), using the approach of the study of character, and technical analysis of the data used is the technique of triangulation. The research results showed that: 1. The background to the life of Siti Walidah (Nyai Ahmad Dahlan), next as a housewife, she also encouraged women to follow education equivalent to men so that the necessary container for develop writing, 2. The contribution of Siti Walidah (Nyai Ahmad Dahlan) in setting up the Organization for women aims to provide education to the children of women particularly in Kauman of Yogyakarta, the influence of organizations capable of providing inspiration Aisyiyah for the females to education, particularly for the development of model education of women at this time
Attention Image Caption with DenseNet

Image caption aims to automatically generate a descriptive text from the image. In this paper, we get a more effective model than the infrastructure by replacing the pre-trained feature extraction model VGG and LSTM with DenseNet and GRU. Experimental results show that the training time of the modified model is shorter than that of the original model and the performance can be guaranteed.
The Impact of Financial Development on Economic Growth

This study aims to test the experimental relationship between the development of the financial sector and the economic growth of Algeria during the period 2005-2014. In order to reach this relationship, the researcher used the data of Panel models. The study included thirteen Algerian commercial banks. Using the PANEL model data, the results showed a positive impact on the development of the financial sector in stimulating the economic growth of Algeria during the period of the study. This effect is reflected in the banking sector through the volume of assets and the ratio of credit facilities granted to the private sector as a percentage of GDP to economic growth which reflects the role of banks in financing private sector activity and supports the hypothesis that there is an impact of financial development on Algeria's economic growth.
Combining Saliency Estimation Methods

We address the task of image saliency estimation through proper recombination of existing methods in the state of the art. We define a general scheme, which we then specialize to perform dataset-specific and image-specific recombination, based on either linear weight regression, or method selection. The advantage of this approach lies in the possibility of exploiting the different strengths of existing methods. Experiments are conducted with both deep learning and hand-crafted methods on a widely used dataset, using standard evaluation measures. The proposed recombination strategy allows us to improve upon the state of the art, by exploiting a linear combination of the saliency maps produced by existing methods. We also show that image-specific combination and selection of saliency maps is limited by the apparent lack of relevant information intrinsic in the image itself.
A PROPOSAL TO USE THE TAGUI FRAMEWORK AS AN RPA TOOL

The automation of processes is an increasingly common reality today, the "digital" employee is increasingly present in companies of various segments.The purpose of this paper is to contextualize the Robotic Process Automation technology as well as to present an open-source framework called TagUI as a tool option.In a way that enables and democratizes the use of technology in other market segments or even by private users.As a prototype and case study we performed automation of a process that fits in the feasibility prerequisites for automation.Finally, we draw a parallel between the benefits expected to be achieved with the use of RPA and those achieved after the deployment of the developed robot.
A Study on the Eligibility of Calligraphy Works for Collateral

The objective of this paper is to empirically investigate whether calligraphies traded in Korean auction market qualify as a collateral of a bank loan.The number of Arts pieces traded in Korea is gradually increasing.The increase in transaction volume of art piece is likely to cause collateral loans of Arts in Korea to increase.Financial institutions in connection with PB are expanding such loans with growing number of wealthy individuals as their clients.However, in most case when art piece is provided as a collateral, only superficial information such as the past transaction price, and artist of the art piece is used to derive the value and the risk of the collateral loan asset.In general, most of financial institutions do not employ the basic tools of financial risk management.The implication of this study would be useful to financial practioners and collateral loan lenders.As a result, despite the growing number of works in the portfolio, the probability of bankruptcy increases rather than the number of works in the calligraphy portfolio.This means that the calligraphy portfolio does not have a diversification effect.Thus, Korean calligraphy works are not suitable for a collateral of a bank loan.
Boletim informativo do Departamento de Estruturas do Centro de Tecnologia da UFPI: uma estratégia de legitimação

At the Federal University of Piauí (Brazil) within its Department of Structures, created in 1975, the Boletim informativo do Departamento, from the Technology Center is published, since 1985 as an instrument of scientific and professional legitimization. In the article the structure and contents of its beginnings are studied.
Transferring Colorization with Smaller Samples

Abstract This paper applies transferring learning to colorization and the main body is based on DNN. However, considering the less complexity of the data set and the equipment constraints. We extract global features from vgg pre-trained model instead of Inception-resnet-v2. And we initialize the other parts weights by fix vgg weights. The result shows that we use less training time and sample and get comparable performance.
Model Enterprise Resouce Planning Sistem Informasi Akademik Menggunakan Togaf Pada Universitas Peradaban

The progress of information systems in the education sector is so developed that it requires to carry out academic activities online. To implement and facilitate the acceleration of higher education, the University of Peradaban as the organizer of higher education in the Bumiayu Subdistrict of Brebes Regency, currently does not have an information system that is integrated with academic information systems (SIA), therefore an information system needs analysis. The Togaf Framework is a framework that can see problems and the development of a comprehensive information system. The goal is to build a model Eneterprise Resource Planing academic information system to support the strategy of developing academic information systems as needed at the University of Peradaban. The type of research used is qualitative research that is explorative, which is to look deeply into the needs of users in applying academic information systems at the University of Peradaban. Analysis of the planner's scope, SIA is designed to manage Lecturer data, Student data, class schedules, Card Management Study Plan, Study Card processing and management of value transcripts and alumni data management. System development consists of three parts, namely a system that can be used by academic administrative staff, lecturers and can be used by students. SIA is designed to provide speed and convenience in managing data and academic development for the competitiveness of universities.
Does chronology matter in JIT defect prediction?: A Partial Replication Study

BACKGROUND: Just-In-Time (JIT) models, unlike the traditional defect prediction models, detect the fix-inducing changes (or defect inducing changes). These models are designed based on the assumption that past code change properties are similar to future ones. However, as the system evolves, the expertise of developers and/or the complexity of the system also change. AIM: In this work, we aim to investigate the effect of code change properties on JIT models over time. We also study the impact of using recent data as well as all available data on the performance of JIT models. Further, we analyze the effect of weighted sampling on the performance of fix-inducing properties of JIT models. For this purpose, we used datasets from four open-source projects, namely Eclipse JDT, Mozilla, Eclipse Platform, and PostgreSQL. METHOD: We used five families of change code properties such as size, diffusion, history, experience, and purpose. We used Random Forest to train and test the JIT model and Brier Score (BS) and Area Under Curve (AUC) for performance measurement. We applied the Wilcoxon Signed Rank Test on the output to statistically validate whether the performance of JIT models improves using all the available data or the recent data. RESULTS: Our paper suggest that the predictive power of JIT models does not change by time. Furthermore, we observed that the chronology of data in JIT defect prediction models can be discarded by considering all the available data. On the other hand, the importance score of families of code change properties is found to oscillate over time. CONCLUSION: To mitigate the impact of the evolution of code change properties, it is recommended to use weighted sampling approach in which more emphasis is placed upon the changes occurring closer to the current time. Moreover, since properties such as Expertise of the Developer and Size evolve with the time, the models obtained from old data may exhibit different characteristics compared to those employing the newer dataset. Hence, practitioners should constantly retrain JIT models to include fresh data.
Perfect 2-coloring of the quartic graphs with order at most 8

In this paper, we study perfect 2-coloring of the quartic graphs with at most 8 vertices. The problem of the existence of perfect coloring is a generalization of the concept of completely regular codes, given by Delsarte.
A Novel Strategy for Retrieving Large Scale Scene Images Based on Emotional Feature Clustering

Due to complicated data structure, image can present rich information, and so images are applied widely at different fields. Although the image can offer a lot of convenience, handling such data consume much time and multi-dimensional space. Especially when users need to retrieve some images from larger-scale image datasets, the disadvantage is more obvious. So, in order to retrieve larger-scale image data effectively, a scene images retrieval strategy based on the MapReduce parallel programming model is proposed. The proposed strategy first, investigates how to effectively store large-scale scene images under a Hadoop cluster parallel processing architecture. Second, a distributed feature clustering algorithm MeanShift is introduced to implement the clustering process of emotional feature of scene images. Finally, several experiments are conducted to verify the effectiveness and efficiency of the proposed strategy in terms of different aspects such as retrieval accuracy, speedup ratio and efficiency and data scalability.
Research on a Novel Improved KMP Fuzzy Query Algorithm

Abstract The rapid development of computer technology has led to an increasing demand for database management information systems. Most of the data queries existing in the current system use accurate query methods, which leads to inefficient query and cannot solve the fuzzy matching problem between strings. Based on the Knuth-Morris-Pratt algorithm, this paper introduces the concept of ambiguity and proposes an improved KMP fuzzy query algorithm, which is applied to the disease query system to verify the feasibility of the algorithm. The improved KMP fuzzy query algorithm not only has a high matching speed between strings, but also satisfies the fuzzy matching between strings. Compared with the traditional BF algorithm, KMP algorithm and other algorithms, the improved KMP fuzzy query algorithm has superiority in terms of fuzzy matching.
A Study of Personality Traits of Secondary School Students of Ahmedabad City in Relation to Their Educational Achievement

Personality is the most important motor of one’s mind to get used to what he/she intends to do, goals to achieve. Education is the most dangerous weapon that is used to build or destroy a given society/community. It depends on how one’s willing to use it. In a positive way, it is very important for the prosperity of the nation and in a negative way, it is the most dangerous the enemies of a nation are using to put down the whole system of a country. Some said that if you plan for a day, make an appointment it will get done, if you plan for a month, plant some vegetables; they will come up in help within the month. But, if you want to plan for the future, the only way is to send children to school. The present study is thought in the context of helping students-teachers to get and understand what is making their day to day occupation tough and end by failing. I have been thinking about the main causes that are making the learning-teaching situation succeed or fail and I was not getting until I decide to conduct a study on it. The study has the introductory part, the definition of keywords, the review of related literature (available at Gujarat University Central Library), the research design where the origin of the study is given and the analysis of data road to suggestions and conclusion. I wish you a good attraction when you read it. Keywords: Educational achievement, personality, personality traits Cite this Article Manariyo Elvis. A Study of Personality Traits of Secondary School Students of Ahmedabad City in Relation to Their Educational Achievement. OmniScience: A Multi-disciplinary Journal. 2019; 9(2): 1–12p.
Bottom-up authoring of software engineering methods and practices

Software Engineering knowledge is obtained during software engineering efforts, such as projects, experiments and case studies that represent a valuable source of knowledge with which to enrich the discipline. This knowledge is manipulated by practitioners who are in charge of developing, maintaining or integrating software; any practitioner, experienced or beginner, possesses his/her tacit practices in order to carry out their work. However, these ways of working are frequently neither expressed nor collected in order to reason about their characteristics and properties. Moreover, the explicit ways of working, which are presented in process reference models and standards that follow a prescriptive approach, are not suitable for small software development organizations. Small organizations represent a major part of software development organizations, so it is important to know and support how they actually work.&#x0D; This paper describes KUALI-BEH, a bottom-up metamodel that offers software engineering practitioners an authoring framework with which to express, adapt and share their ways of working as a collection of methods and practices. Validating and applying the metamodel showed that a bottom-up approach benefits small organizations and serves as a first step to reduce the gap between software engineering theory and practice. KUALI-BEH permits small organizations to create an organizational working method and to gradually introduce them to the adoption of standards and reference models. Practitioners with different levels of competence, from inexperienced to senior, adopt and use KUALI-BEH successfully with minimal training and without any consulting services.
Project teaching design under the goal of improving professional mobility

With the development of social development to put forward higher requirements for personnel training, aiming at cultivating vocational college students' professional action ability, the project teaching design is cited in the training of vocational teaching talents. Practice has proved that the project teaching design is carried out in the vocational school training course teaching, the replacement of the car timing belt project as the teaching carrier to complete the teaching design, the exploration and analysis of the vocational education teaching mode, combined with the vocational action ability teaching reform in China's vocational schools Make your own suggestions.
An Eccentric Crypto Approach for Medical Images A Strange Crypto Model

Though there are tremendous growth of information technology, security of data transmitted is still at stake. Cryptography, being the art of secret writing, is highly recommended for information that are transmitted via a public channel. The objective of this paper is to encrypt Digital Imaging and Communication in Medicine (DICOM) images using strange attractor. The key employed is used for confusion and diffusion at various phases. This paper is intended to come up with a novel methodology to provide substantial improvement over currently available encryption standards. The ability to act against attacks and robustness of the proposed method are to be tested.
PRO-ORAM: Practical Read-Only Oblivious {RAM}

Oblivious RAM is a well-known cryptographic primitive to hide data access patterns. However, the best known ORAM schemes require a logarithmic computation time in the general case which makes it infeasible for use in real-world applications. In practice, hiding data access patterns should incur a constant latency per access. In this work, we present PRO-ORAM— an ORAM construction that achieves constant latencies per access in a large class of applications. PRO-ORAM theoretically and empirically guarantees this for read-only data access patterns, wherein data is written once followed by read requests. It makes hiding data access pattern practical for read-only workloads, incurring sub-second computational latencies per access for data blocks of 256 KB, over large (gigabyte-sized) datasets. PRO-ORAM supports throughputs of tens to hundreds of MBps for fetching blocks, which exceeds network bandwidth available to average users today. Our experiments suggest that dominant factor in latency offered by PRO-ORAM is the inherent network throughput of transferring final blocks, rather than the computational latencies of the protocol. At its heart, PRO-ORAM utilizes key observations enabling an aggressively parallelized algorithm of an ORAM construction and a permutation operation, as well as the use of trusted computing technique (SGX) that not only provides safety but also offers the advantage of lowering communication costs.
The Critical Thinking Ability Culitivating in College English Course in the Artificial Intelligent Age

This paper discussed the trend of the English education under the perspective of AI. The learners could acquire the specific language knowledge with many different AI tools. The humanity accomplishment and critical thinking ability should be one of the main goals of the college English class. The critical thinking ability cultivating could be realized through the innovative study method during the lexical study, reading and writing process and other language learning process.
Statistical Analysis in The Research of Human Factor in Software Engineering

The role of the human factor in software engineering is critical and complicated. The stochastic nature of the human factor and the processes in all software life cycle require systematic data collection and sound statistical analysis and modeling. For almost two decades a variety of problems and methods related to the human factor on software engineering were the main subject of research for of the STAINS (Statistics and Information Systems) research group at School of Informatics, Aristotle University of Thessaloniki. This article presents a review of these research efforts in the area known as empirical software engineering.
The quality of institutions and economic growth in Africa? : An empirical analysis of the relationship between quality of institutions and economic growth in Africa

Africa is one of the richest continents on the planet in terms of natural resources, but has the highest poverty rate, fastest growing population and includes many of the world s most corrupt coun ...
UPAYA PENINGKATAN PENGUASAAN VOCABULARY MENGGUNAKAN METODE TOTAL PHYSICAL RESPONSE DENGAN MEDIA CHARADE GAMES

This study aims to improve vocabulary mastery using the TPR method with charade games media. Type of this research is Classroom Action Research. There were 26 students in grade 3 of SD Negeri Pabelan 1 studied. The research instruments used were teacher observation sheets and residuals, as well as structured tests. The results showed that there was an increase in the activities of teachers and students from cycle I and cycle II by applying the TPR method with an average score of teacher activity not experiencing an increase or a decrease of 10 with a percentage of 100%, both in cycle I and cycle II. The average score of student activity has increased, in the first cycle the average score of student activity was 25.5 with a percentage of 63.75%, then in the second cycle the average score increased to 36 with a percentage of 90%. While the completeness of vocabulary mastery in the first cycle of students who reached KKM (minimum passing grade) amounted to 17 students or 65% then increased in the second cycle which reached KKM of 24 students or 93%. Thus, the TPR method with charade games media can improve student vocabulary
Technical feasibility of a software project for virtualization of tasks performed by students in the higher education course - problems and solutions in evolutionary development

The dynamics of business requirements necessitates the modernization of teaching methods in schools and universities. The purpose of the publication is to explore the technological aspects of creating and maintaining a complex software system for virtual learning. In order to assess technical feasibility, a classifier of potential software changes is proposed, taking into account the impact they have on the database administrators and developers. The article offers different approaches to managing changes, both at the programming code level and at the database level. The limitations imposed by the technologies used are analyzed and, on this basis, the best methods for managing changes in the virtual learning software system are outlined. The results of the study can be useful for software system designers and database administrators.
The Stage Model of Intelligent System Forensics

Abstract With the rapid development of Internet, mobile communication is moving towards the 5G era, and the application of intelligent systems is in the ascendant. The corresponding intelligent system forensics has become one of the research highlights. By comparing the differences between intelligent system forensics and traditional electronic data forensics, this paper studies the specific content of intelligent system forensics, and proposes a stage model of forensics, which mainly included seven stages: formulation of forensics strategy, safe collection of media/equipment, equipment protection before laboratory forensics, preparation before laboratory forensics, development of laboratory forensics, reconstruction of the case process, and preservation of evidence. The model will be conductive to a more normalization process to improve the reliability, integrity and avoid misoperation of intelligent system forensics.