Reviewerly/exHarmony huggingface dataset:
Dark Channel Prior Guided Conditional Generative Adversarial Network for Single Image Dehazing

Single image dehazing is a challenging while important problem as the existence of haze hinders most high-level computer vision tasks. Previous methods solve this problem using various hand-crafted priors or by CNN learning on synthetic data sets. In practice, many CNN based methods estimate the transmission maps and atmospheric lights without considering the pre-defined priors, and always need huge data to train the model. In this work, we propose Dark Channel Prior Guided Conditional Generative Adversarial Network, an end-to-end model that generates realistic haze-free images using hazy image input and dehaze image based on dark channel prior. A Siamese like encoder is proposed to extracted the feature, and multi-scale features are enhanced by feature aggregation block for decoding. Our algorithm can efficiently combine the prior-based and CNN based image dehazing method. Experimental results on synthetic datasets and real-world images demonstrate our model can generate more perceptually appealing dehazing results, and provide superior performance compared with the state-of-the-art methods.
Birden Üçe: Medeni Hukuk Sistemini Yayma Üçten Bire: Bir Medeni Hukuk Sistemi Oluşturma

Turkish Case 4. One Into Three: The Louisiana Code 5. Rounding Up
Penggunaan Smartphone Application Guna Mempelajari Cara Mengurus Jenazah Umat Muslim

The obligation of Muslim towards their relatives who died there are four cases, namely bathing, believing, praying and burying. The community considers that there is no need to think about how to care for the body from the beginning to the finish because there are already their own officers. Rhile in a hadist from ‘Aisyah said Rasullah SAW: “Anyone who bathes a corpse and is guarded by trust and cannot be opened (secret) about the protection of the sympathy for the people there hen comes from sin for hs condition. Based on the hadist mentioned the person who mentioned bathe the corpse in priority is his own closest family, then if the family cannot, then other people can do it, while bathing is included in the case of receiving a corpse based on the results of an interview with teacher Madrasah Diniyah Baitul Athfal by agreeing to him about the management of the body, it is expected if it involves family members. Who can use the world od the sunna of the prophet and also in the future can be used as a successor. In Madrasah Diniyah Baitul Athfal involved in the learning process due to shortages in madrasah are short plus students do not have books about the management of bodies or jurisprudence books become obstacles in the process of learning. Teaching lessons for students or instructors. After obtaining data from data collection, .researchers create a system with predetermined and more relevant methods using the Multimedia Development Life Cycle (MDLC) Method. Based on the results obtained for 9352 and included in the category of Good, then the application was validated that can be applied to the research object.
IMITATION-SITUATIONAL CASE STUDY WITHIN THE CONTEXT-ORIENTED SYSTEM OF EDUCATION OF FUTURE TEACHERS ON PROFESSIONAL CREATIVITY AND SKILLFULNESS

The article deals with problems related to several important aspects of pedagogical innovation in modern Ukraine.The requirements for the head of the New Ukrainian School as an integrative figure in the context of the educational environment, the organization of his relations with students, teachers, parents of students, representatives of local communities are analyzed.The specifics of partnership are discussed as a means of establishing constructive contacts between subjects interested in a successful educational outcome.It is substantiated that the professional training of the head of the New Ukrainian School should include two interrelated areas: content-technological, which includes mastering the above components of managerial training as the theoretical basis of his activity, and personal-activity, which allows to form a sufficiently flexible and at the same time conceptual individual system of administrative interaction with the subjects of the educational environment.The high school's ability to form a future education manager's ability to engage in this interaction is being explored.It initiates the expansion of forms and methods of interaction between higher and secondary schools, which are able to accumulate their opportunities for early immersion of the future manager into the latter's educational environment in order to develop systemic managerial experience and to develop the capacity for effective management communication on the principles.
Real Time Twitter Trend Mining System

The advent of social media is changing the existing information behavior by letting users access to real-time online information channels without the constraints of time and space.It also generates a huge amount of data worth discovering novel knowledge.Social media, therefore, has created an enormous challenge for scientists trying to keep pace with developments in their field.Most of the previous studies have adopted broadbrush approaches which tend to result in providing limited analysis.To handle these problems properly, we introduce our real-time Twitter trend mining system, RT²M, which operates in real-time to process big stream datasets available on Twitter.
Development Cycle Estimation Modeling

Predicting project resource utilization is a risky business. This paper presents results from a domain-independent product development model that enables objective and quantitative calculation of certain development cycle characteristics and risks. One result is improved project resource estimation.
The Effectiveness of Pairwork Activities Technique on Writing Ability of Students in Vocational School

This study is aimed at finding out the effectiveness of pairwork activities technique on students’ writing ability. The research is quasi-experiment with posttest only design. Students at grade XI Vocational School 1 Sungai Penuh engage in the study, whereas only two classes selected as sample (experimental class and control class). Writing test carries out after the treatment in each class, it means instrument is constructed in writing form in order to know students ability in writing. The data are analyzed by using t-test. The finding of hypotheses testing proves that the p-value is 0,00. Thus, p-value is lower than 0,05 (0,00&lt;0,05) which means H0 is rejected and H1 is accepted. Hence, the pairwork activities technique is effective to be used in creating student’s better writing ability than conventional technique. Pairwork activities technique can enhance students activities in writing, where each pair of students should be active in generousing the ideas and cross-check their own writing with the intention of create better writing outcome.
Calibration Method of Orthogonally Splitting Imaging Pose Sensor Based on KDFcmPUM

This paper proposes a partition of unity method (PUM) based on KDFCM (KDFcmPUM) that can be implemented to solve the dense matrix problem that occurs when the radial basis function (RBF) interpolation method deals with a large amount of scattered data. This method introduces a kernel fuzzy clustering algorithm to improve clustering accuracy and achieve the partition of unity. The local compact support RBF is used to construct the weight function, and local expression is obtained from the interpolation of the global RBF. Finally, the global expression is constructed by the weight function and local expression. In this paper, the method is applied to the orthogonally splitting imaging pose sensor to establish the mathematical model and the calibration and test experiments are carried out. The calibration and test accuracy both reached ±0.1 mm, and the number of operations was reduced by 4% at least. The experimental results show that KDFcmPUM is effective.
What Do Editors Want?: Assessing a Growing Library Publishing Program and Finding Creative Solutions to Unmet Needs

The University of Rhode Island (URI) University Libraries publishes five active open access, peer-reviewed scholarly journals on our DigitalCommons@URI platform. Our journal publishing program has grown slowly but steadily over the last decade, with new services added incrementally as needed. In early 2019, we conducted three focus group interviews with nine editors and assistants representing all of the journals on our platform in order to assess our journal publishing efforts. We asked editors to identify the successes, challenges, and unmet needs that they have encountered in the publishing process and what resources they have found to support their journals outside of library offerings. We highlight what we learned from our editors: what they value, what they need, and what they want from library publishing services. We also outline our plans going forward to facilitate ongoing conversations among editors and to find creative solutions to help them with their biggest challenges.
The implementation of small group discussion in teaching writing recount text for the tenth grade students of SMKN 1 Bendo

The goals of this research are to describe the implementation, advantages and disadvantages, and the solution of disadvantages in teaching writing Recount text by using Small Group Discussion. The research uses descriptive qualitative research as approach and type of research. The sources of data are social situation, participant or informant, and document. The technique of collecting data uses observation, interview, and documentation. To know the validity of the data, the researcher uses triangulation. The technique of data analysis are data condensation, data display, conclusion and verification. The result of the research are (1) The implementation of Small Group discussion in teaching writing Recount text divided into (a) Pre-activity which covers greeting, praying, checking attendance list and explaining the purpose of the learning, (b) Whilst-activity covers the explanation the stages of the technique, (c) Post-activity include reviewing and making resume of the material, (2) The advantages are easy to implement in the class and can be understood well by the students, effective to teach types of text, increased participation, make student more intimate with their friend, (3) The disadvantages are student need more times to write, they are difficult in translate the word, disability of implementing correct structure makes some of students did not participate, students’ motivation of writing is still low, take long time because there are four stages that should be done by the students, (4) The solution of the disadvantages are teacher gives clear and simple explanation about the material, asks students to bring the dictionary, explains the role of each member of group clearly, makes the activity into simple one, gives additional time, student aware to other students, and teacher gives a bit of joke or humour and motivation in the process of learning. Based on the result, the conclusion of this research are suitable with the lesson plan, observation, and teaching process in the class. The suggestions are presented for teacher should have variety of strategy in teaching writing, students are suggested to increase their vocabulary, and other researcher are suggested to fulfil the need of the knowledge from other point of view.
Security of Cloud Computing using Genetic Algorithm

The cloud is being increasingly used to store and process the big data. The main advantage of cloud computing is cloud data storage where the data is not stored on their data servers. Cloud security is one of the most analytical aspects because of its confidential information and responsive data. Many researchers have been trying to protect big data in cloud computing environment. Here, a new security framework is provided where genetic algorithm is applied on the data when it is stored by the user. Because Genetic algorithm is a stochastic algorithm; randomness plays an important role. Genetic Algorithm considers a population of solutions. Many solutions at every iteration offer a lot of advantages. Also, for better solutions it can recombine different solutions. In the new security framework, the data is converted into binary bits. These binary bits are then divided into block of bits of size 8 bits. On every two blocks of bits genetic algorithm is applied. Only crossover and mutation Genetic Algorithm operations and pseudorandom number is used in encryption process of data. Every genetic operation generates blocks of bits which will be ciphertext. This ciphertext will be stored on cloud at different locations. An attacker cannot detect the location of ciphertext. Encrypted data parts are stored on cloud and Cloud Service Provider cannot see the encrypted data.
Penerapan Metode Certainty Factor Untuk Mediagnosa Penyakit Depresi Pada Manusia Menggunakan PHP Dan Mysql

The purpose were design and develop software engineering web based expert system to diagnose depression on human to get solution and information easily and rapidly. This research used Certainty Factor of analyzed method base of user answer for question in this expert system. Output were showed as user condition related depression and were completed with disease explanation and medical solution which showed in website with PHP programming of MySQL database. The conclution in this research were PHP programming and MySQL database evidently could be implemented in expert system engineering to diagnose depression. Certainty Factor method evidently could commit searching depression symtomp easily and rapidly. Online system could support user to get information about kind of disease, symptom, and medical solution for depression.
Anomaly detection in surface mount technology process using multi-modal data

Anomaly detection is an important area for both research and real-world applications. In the surface mounting technology (SMT) process, the defectives of solder paste printing need to be detected immediately or it may cause great effort for recycling and slow down the whole process. In this paper, we propose a novel model, MM-DNN, for anomaly detection with multi-modal data. We collect a multi-modal dataset from different sensors in the factory. Our method efficiently extracts both predictive features for classification and correlative features between multi-modal data to achieve a higher detection rate. As shown in the experiment, our method can further reduce 77% false alarm rate of the detection result in the factory while keeping 95% of real defectives be correctly detected.
An Embedded Visualization Method through Temporal Bibliographic Analysis

Abstract Visual analytics play an important role in understanding complex datasets, e.g. the bibliographic data set. Word clouds, which use a compact visual description of words, have been leveraged widely to provide the content overview of a set of documents, especially the hot topic trends. In this paper, we proposed a visualization method that embedding the temporal patterns along the word to visually illustrate the hot topic evolution.
Improving the Students’ Skill of Writing Narrative Text through Cooperative Learning Model with Jigsaw Technique

The purpose of this action research are: 1) Describe the learning process of writing narrative text through cooperative model learning with jigsaw technique, 2) Describe the improvement of writing narrative text through cooperative model learning with jigsaw technique. The research design of this research is action research which use two cycles. Data in this research are qualitative and quantitative data. Qualitative data were obtained from observation sheets, daily observation journals, as well as documentation. Quantitative data is data in the form of numbers from the results of writing tests obtained after the learning process with cooperative model learning with jigsaw technique. While the data sources in this study are sixth graders SD Negeri 01 Tugu Utara Jakarta Utara year 2018-2019. The results showed that 1) the activities of learners in the learning process increased significantly after following the learning by using cooperative model learning with jigsaw technique, the result show 82.0 in the first cycle and 89.3 in the second cycle for activities the learner in the learning process, 2) Students' skills of writing narrative increased significantly after following the learning by using cooperative model learning with jigsaw technique. The average value obtained by learners are; cycle I is 74.18, and cycle II is 83.00.
The Correlation among English Learning Anxiety, Speaking and Writing Achievements of Senior High School Students

The objectives of the study were to analyze whether or not there were a significant correlation among English learning anxiety, speaking, and writing achievements of the eleventh graders’. The sample of the study were 112 eleventh graders’. They were selected randomly. The study used quantitative research design. The questionnaire and the writing and speaking tests were done to analyze the data. The researcher used foreign language classroom anxiety scale questionnaire to measure the students’ English learning anxiety with five-point likert scale, and speaking and writing tests were used to measure the students’ speaking and writing achievements. Pearson product moment correlation and regression were analyzed by using SPSS. The results of study were negative low correlation between English learning anxiety and speaking achievement (r=-.269 with p&lt;0.01) and English learning anxiety and writing achievement (r=-.213 with p&lt;0.05).
The Analysis and Design Marketplace Information Systems Web-Based of Electronic Repair Service Providers with Haversine Method

This system is designed to help customers find electronic service centers were spread in Tangerang. The distribution of electronic service center makes it difficult for users to determine the right electronic service center. Sometimes customers don’t know the results of repairs from the electronic service center. Search for electronic service center on the system is using the Haversine method. Haversine is used to calculate the distance between the position of the customer and the position of the electronic service centers. In addition to Haversine, the search for electronic service center will be adjusted to the type of goods you want to repair and rating from the results of the performance electronic service center. In this system, the customer can choose the damage diagnosis available and the customer can also make a special order by describing the customer's damage. This system was tested using Black Box Testing with Boundary Value Analysis technique, based on the results of testing the system can use data with a success percentage of 96.66%. The system is tested with User Acceptance Testing to find out how much the level of user acceptance of the system designed, and the result is 75% of users agree with the system.
Benchmarking of the Professional Education System in Postsecondary Institutions of the Russian Federation

In this article, the concept "benchmarking of the professional education system" is addressed as the information and management system analysis concerning the activities of the best postsecondary professional institutions (PSPI), and the management methods in the development of professional education system.The research method is benchmarking that allows the authors to determine methods, forms, technologies of educational activities, and management methods.Results reveal that the National Competition, "The best project of the professional education system modeling" leads to finding the best professional education system models developed by PSPI according to the principles of a project-based approach.
Analisis Kinerja Algoritma J48 Decision Tree untuk Pengambilan Keputusan Beli/Jual pada Saham PT Harum Energi Tbk. (HRUM)

The problem that is often faced by investors in selling / buying stocks is the difficulty in analyzing a dataset of stock prices in large quantities.This analysis aims to predict the rise or fall of stock prices based on data obtained. To assist investors in determining buying / selling decisions on stock analysis based on technical and equipped with classification techniques in data mining. This study analyzes the performance of the J48 Decision Tree algorithm in the Waikato Environmental Software for Knowledge Analysis (WEKA) version 3.8.2 for PT. Harum Energi Tbk. (HRUM). The results showed in the testing data, the percentage of testing on data without normalization was higher by 87.3 (non-aggressive) and 88.8 (aggressive) compared to normalized data 84.2 (non-aggressive) and 85 (aggressive ). The biggest stock profit generated is in non-aggressive type data without normalized by 48.75 or Rp. 48,750.00.
Social Environmental Support Towards Leisure Time Activities Among Multi-Ethnic Youth in Malaysia

The purpose of this study was to identify the aspects of social environmental support includes family support, peer support and local community support towards leisure activities multi-ethnic youth in Malaysia. Social environmental support for this study is based on Bronfenbrenner’s ecological system theory. The study was conducted in the form of survey which uses questionnaire that involved 1184 youths from multiple ethnics which are Malay, Chinese and Indian. The overall findings of the study showed that social environmental support is at moderate high level. Therefore, various programs need to be planned well in order to encourage youth participation in leisure activities.
Next Stage Applications

With the launching of JPMCoin in the early days of 2019 there was a renewed discussion and debate around both the future of blockchain and cryptocurrencies at large as well as the implications that such a launch means for existing options and companies already operating within the broader space. There was an abundant amount of discussion and analysis in the space following the announcement of the new token as well as the blockchain it operates on, but regardless of specifics that have been discussed, it does appear that there are a few core themes and topics that are driving this and other conversations.
THE DEVELOPMENT OF SOCIAL ACTIVITY OF STUDENTS OF THE UNIVERSITY SOCIAL AND PEDAGOGICAL MEANS

The article considers the role of social activity of University students by sociopedagogical means.The results of the diagnostics are summarized.
Penerapan Metode Naive Bayes dalam Menentukan Pengaruh Penasihat Akademik pada Kelulusan Mahasiswa Tingkat Akhir

In the lecture there is a permanent lecturer who serves as an Academic Adviser namely a person whose job is to provide students with assistance in adjusting to lectures and assisting students in solving problems encountered during college by providing various alternatives for students. Students are required to have abilities and expertise. To achieve the objectives of final year students and also universities in graduating the best graduates, communication between students and lecturers is needed. Because it is very influential in training mentally students and is very helpful for students in completing their lectures. The influence of an academic advisor can actually be an important factor for final year students, but students may also consider it to have no effect on their graduation. So the Naive Bayes method, in order to find out whether Academic Advisers play an important role in the graduation of final year students, students are asked to fill out a questionnaire relating to the influence or not of the Academic Advisor on final graduation. It is hoped that this study can determine the effect or absence of Academic Advisers on the graduation of final year students, later the results of the output from this system can be an evaluation material for universities.