Reviewerly/exHarmony huggingface dataset:
Owleyes: A Visual Analytics System for Functions and Connection Patterns of IPv4 Addresses in Networks

Netflow log files commonly contain massive transfer records in tiny time interval, making analytical works complex and burdensome. By combining human cognition abilities with computerized techniques, visual analytics systems have become efficient tools for showing network states and locating abnormal behaviors. However, traditional visual analytics systems tend to be designed for solving certain problems and unable to synthesize various types of data sources. Despite recent advances in network security visualization, academia still starves for a proper solution to visualize IPv4 address behavior modes and IPv4 connection patterns within limited drawing space. Thus, we propose a visual analytics system called `Owleyes' which reprocesses Netflow log data with simple statistical operations in basic dimensions and fulfills the aforementioned requirements with proper novel graphs such as `sunburst-hive-plot graph' (SHG) and link-wheel graph (LW). The SHG provides a stable and comparable means of visualizing connection patterns efficiently in a limited drawing space. The LW represents the hourly connection counts of main ports in a specific IPv4 connection during one day. With the use case dealing with the ChinaVis 2016 Challenge I data, the efficiency and practicability of Owleyes are demonstrated.
Learning Angular Reconstruction based Binary Descriptor for Face Recognition

In this work, a simple angular reconstruction based binary descriptor (ARBD) strategy is proposed for face recognition. Compared with previous learning-based hashing methods such as compact binary face descriptor (CBFD) and sparse projection matrix binary descriptor (SPMBD) which measure data similarity with the Euclidean distance, our ARBD focuses on using the cosine similarity to generate binary codes. Specifically, the angular reconstruction term is added to the objective function to minimize the reconstruction error. Furthermore, an efficient algorithm based on the augmented Lagrange method (ALM) is designed to explicitly address the discrete constraint in the Hamming space. We also perform pooling on the learned binary codes with the unsupervised clustering manner to improve their discriminative ability. The results on two face datasets (i.e., CAS-PEAL-R1 and PaSC) demonstrate the superior performance of our ARBD over other existing face recognition methods.
Current directions of socio-cultural activity performed at education libraries

The paper covers socio-cultural activity performed at education libraries. The following current directions of socio-cultural activity were investigated: national-patriotic training of pupils and students; civic and legal education; development of environmental culture; health information and education; development of aesthetic views via literature and art; development of technological, cognitive and social competencies (so called digital acumen). The attention is focused on national-patriotic and civic education; they involve the realisation of the following activities: organisation and holding educational, informational, culturological, international, scientific, and methodical activities on national-patriotic education; improvement of professional skills in the sphere of training of children and youth; involvement of contemporary cultural, art, and science workers, sportsmen, and volunteers in the processes of national-patriotic education, etc. The paper discusses the education library activities aimed at promoting library document resources and enhancing the image of libraries. It is stated that the cultural and educational activities performded at libraries undergo certain changes under the influence of information technology. The study informs about the content and purpose of different directions of sociocultural activity performed at education libraries considered as an important factor of qualitative sociocultural shifts in Ukraine in the context of the development of the world cultural and educational environment. It is mentioned that the development of digital literacy skills of young generation is the most important direction of socio-cultural activity performed at education libraries.
The Development of Education Game Learning Training Module Based on Information Technology in Industrial Revolution 4.0 for Teachers in MI Al Asy’ari Jombang

Industrial Revolution Era 4.0 is the fourth world era where information technology has become the basis in human life.Although we are in the era of 4.0 revolution, there are still many problems related to the lack of learning innovations that utilize information technology skills.This is also experienced by one of the schools in Jombang, namely MI Al Asy'ari.As a result of that, the training of information technology Mastery needs to be held.One of which is in making interesting Educational Games based on information technology skills.Learning games which centered on active participants, can be used as innovative and fun elements in the learning experience (Silberman, 2014).Meanwhile, it is necessary to have a training module as a learning means to make the participants easier to learnthe IT-based educational game.This research is a developmental research that aims to produce an IT-based educational game learning training module for teachers at MI Al Asy'ari Jombang.This research uses the Borg & Gall model which refers to the seven steps taken by (Widyaningrum, Sarwanto, & Karyanto, 2013).Those are 1) research and data collection, 2) Planning, 3) product draft development, 4) initial field trials, 5) revising the results of trials (optional), 6) major field trials, and 7) revisions to operational products (optional).The research instrument used was a validation sheet, questionnaire, and the results of the training participants' posttest.The validity results of the two validators showed the percentage of each assessment as many as 80% for the format, and 88.74% for the contents of the module, and 86.2% for the language used in the training module.The results of practicality in the initial and main field trials are seen from the results of the participants responses.It is shown in each assessmentas many as 96.05% and 94.41%.The effectiveness results in the initial and main field trials were seen from the results of the trainees' posttest.The effectiveness results showed that the percentage of participants who met the completeness criteria classically was 83.3% and 92.3%.Thus, the IT-based educational game learning training module that has been developed can be declared feasible to be used as a means to facilitate the trainees because it fulfill valid, practical, and effective criteria.
Keeping Newspapers' Popularity Alive among Young Readers

In the present world, news is available on your finger tips, quite literally. It is there in the form of sms alerts, WhatsApp pings; one can always browse through the internet, their Facebook feeds, and then there are news channels running 24/7. But despite these threats that are looming large on newspapers, it can be safely said that print media is an institution. Print media provides the kind of optical pleasure that no other media can match. Newspapers have to build on their strength and discover new areas to influence readers, youngsters especially. Newspapers can provide the meaning, context and a better understanding of any event or issue as compared to other media. That is the strength of print media, which can be utilized in the future too.
PEDAGOGICAL СONDITIONS OF THE FORMATION OF FUTURE TEACHERS’ PROFESSIONAL IDENTITY

. In the context of reformation of the education of Ukraine, the requirements for the identity of the modern teacher are growing significantly. These changes are required, at the stage of professional training, to shape the personality of future teachers, to develop in them professionally significant qualities, creative potential, professional selfrealization. That is why the development of his / her professional identity, which is closely related to the issues of professional self-determination and personal development, becomes especially valuable in the structure of the future teacher's personality. For the future teacher, the formation of a professional identity is an extremely important factor in his/her successful professional activity, professional growth and professional development. The article is devoted to the problems of professional formation of future teachers in the course of professional training. The article reveals the essence of the concept of "professional identity". According to the results of theoretical analysis, it is determined that professional identity is a dynamic system that is formed in the process of professional education and active development of professional competence. Scholars emphasize that professional identity is a part of personal identity. In the professional development of the teacher, professional identity occupies a central place, which is a result of the awareness of one's identity with one's professional activity and community, confidence in one's effectiveness, feeling of being a professional. The professional identification of the teacher is an integral part of the professional consciousness of the individual. The author describes the main forms of professional identification: contrast-positive form, contrast-negative form, perspective-positive form, perspective-negative form and intermediate form. The professional identity of the teacher is regarded as an integral characteristic of the individual. The criteria of formation of professional identity of the teacher are cognitive, evaluation, value and connective criteria. The process of formation of professional identity of students-future educators has three main stages: primary choice of profession, confirmation or denial of primary choice, realization of primary choice in professional activity. A necessary condition for the development of a teacher's professional identity is the teacher's personality, personal and professional potential, as well as the specific knowledge and skills required for a particular activity. The period of study at a higher education institution is a very important step in the process of formation of the professional identity of future teachers.
VALIDATION RESEARCHES OF THE PRODUCTION PROCESS OF THE GLUCOSE MEDICINE INFUSION SOLUTION

The purpose of the work is to carry out validation researches of the technological process of production of glucose solution for infusions using the bracketing approach for batches of different volumes and fullness the filling of containers. The object of the research is the manufacturing process for the manufacture of glucose infusion solution 50 mg / ml. Data collection was carried out on the basis of series production protocols, protocols for analysis of of raw materials and supplies, intermediate and finished products, series packaging protocols, other protocol and registration documentation of the drug production process. Validation studies were carried out at all stages of the technological process with the determination of critical parameters, confirming the quality of the product under the investigated parameters and the reproducibility of the results when the initial parameters were changed, such asy: preparation of raw materials, solution preparation, filtration of solution, filling and capping of vials, sterilization, inspection, packaging. The technological scheme for the production of the drug Glucose solution for infusion of 50 mg / ml was determined. Validation studies and data collection were carried out on 3 industrial series, determined by the bracketing method: 2000 l with a dosage of 200 ml of medicine per bottle (min. series size, min. dosage), 5000 l and a filling volume of 400 ml (min. series size for bottles of 400 ml), 10000 l with packaging in bottles of 500 ml (max. series size, max. dosage). The obtained research results indicate the reproducibility and normativity of the quality indicators of intermediate and finished products in accordance with the regulatory documentation and declared acceptance criteria for all investigated release forms of 200 ml, 400 ml and 500 ml in glass bottles. The results of validation examinations of the technological process for preparing a solution for glucose infusion solution of 50 mg / ml is representative of the intermediate parameters of drug production and are determined to be satisfactory to ensure stable quality indicators. The results of validation researches were obtained using a scientifically based approach to the selection of limit values, risk analysis and determination of critical parameters. The results of the study are of practical importance for organizing the validation of the technological process for the production of medicines with several dosages, volumes of production series, various sizes of container filling, in order to reduce the number of tests to save resources and time.
Research on Models for Multi-turn Task-oriented Dialogue Systems

At present, researchers generally focus on the problems of each module of the task-oriented dialogue systems, which is independent of each other. The underlying module cannot use the error information of the upper module. What’s more, these methods need manually labeled data, which is created by hand and often too slow and expensive. In this paper, we propose an end-to-end approach to solve these problems. Based on the hierarchical structure of multi-turn dialogue systems, we construct two levels of attention mechanisms–one at the word level and one at the sentence level, which can make good use of context information. At the same time, we identify five key modeling and training techniques, and apply them to our model, yielding a new model of better performance in multi-turn dialogue systems. With evaluations on the Jing Dong Customer Service dataset1 and the Ubuntu Dialogue Corpus dataset [1], we show that our model improves the conversation performance over previous end-to-end dialogue system methods.1It is a multi-turn conversation dataset for the 2018 JD Dialog Challenge
PENGARUH COLLABORATIVE LEARNING TERHADAP KEMAMPUAN MENULIS TEKS LAPORAN PERCOBAAN SISWA KELAS IX SMP NEGERI 24 PALEMBANG

The aim of this study was to determine the effect of collaborative learning models on students ability to write text of experimental report. The method used in this study is an experimental method through pretest and posttest. The population of this research was class IX students of SMP Negeri 24 Palembang, which totaled 147 students. The sample of this research was class IX students with 32 students. Data collection techniques used in this study were tests and questionnaires. Data analysis techniques used t-test. The results of this study can be concluded that the Collaborative Learning model take effect to the ability to write text of experimental report is significant, because it is proven t-score is greater than t-table at a significant level of 5% with db (free degrees) t-score (12,711) &gt; t-table (1,696). So, the hypothesis put forward is proven true.
Amharic Phrase Chunking with Conditional Random Fields

This paper particularly presents a Conditional Random Field (CRF) based phrase chunking system for Amharic language.Chunking is the series of actions which has divided or segmented the sentence into phrase by the arrangements of correlated word groups.Therefore, chunking is recognized by the identity of chunk labels and the boundary that describes chunks.In this research work, our goal is to develop chunking for Amharic language by using different tagging schemes for identifying the chunk boundaries and incorporate the tangs in form of contextual information.Therefore we have identified the problem, common stetting, solution and improvement of chunking as well.In addition to this, we have also constituted the special word, Part-of-Speech (POS) tagging information, morphological analysis as an input to increase the performance of the system.Totally, we are using 400,000 tagged words and have evaluated the result by the combination boundary identification and labeling.Since we are using large amount of tagged data for Part of Speech tagging, it although performs good results with chunking.Finally, the average accuracy of the system is reached to 94.2%.
Integration of User Emotion and Self-Awareness in Text Messaging

Text messaging becomes one of the indispensable communication tools today. It has changed the way users efficiently communicate with each other and perceive information. Emojis play an imperative role in attempting to deliver emotional information in text messaging. They compliment texts, but are more flexible in expression, to describe a user's sentiment that is hard to be described by words. Emojis are traditionally selected through picking emoji icons and sent through the chatbox. However, as the representation and interpretation of emojis are subtle and vary from people to people, selecting emotions without carefully estimating one's feeling could lead to misuse and misunderstanding of the emoji message. One technique to increase the thoughtfulness of emoji selection is incorporating facial expressions of emotion. The increased self-awareness could lead to more assessment of internal feeling and encourage selecting the emojis with attention. This study compares three manners of emoji selection techniques on mobile, and evaluate how the self-awareness affects emotion expression in text messaging. The preliminary result shows that higher self-awareness leads to increased thoughtfulness in expressing emotions, and boosts the accuracy of emojis selection based on a user's current mood.
A Novel Algorithm for Deraining Videos Using Range-Domain Filtering with Spatio-Temporal Correspondence

Unconstrained environment has always been a challenge to handle in computer vision and outdoor video analytics. Not only the visual perception but also the algorithmic efficiency at outdoor environment vastly impacted due to adverse weather conditions like rain, fog, snow, etc. These weather conditions largely degrade video quality by inducing complex noise into video frames especially due to mutual motion between capture assembly/ camera and object/ scene of interest. This greatly hampers video analytics and computer vision in various real time applications such as intelligent transportation systems, smart surveillance etc. Hence, restoring clean video from adverse effect of environment is one of the most important challenge in video analytics. With the aim of tackling this problem this paper proposes an efficient method of deraining videos by applying bilateral filtering on time-sliced video frames. The proposed idea exploited the strength of range-domain filtering possessed by bilateral filters and the spatio-temporal model of time-slicing. Extensive experimentation and their quantitative results indicate that our approach is reasonably effective in deraining video frames under different mutual motion between camera and object of interest in different rain density and is comparable to the state-of-the-art models existing in this domain and outperforms existing approaches with respect to performance time.
Teaching Design and Application of Electromechanical Comprehensive Experimental Course

Practice teaching is an important part of electromechanical courses.Many electromechanical courses including practical links can't do without the support of the laboratory.Due to the limitation of time and space, only some students can improve their practical ability.For improving this situation, the mechanical manufacturing professional of college took measures to do comprehensive teaching design on the electromechanical experimental course based on years of teaching reform and exploration.These measures included the virtual simulation experimental teaching, the micro-course with the project as the unit and the latest assessment method by using software Camtasia to record the screen.After several rounds of practice and improvement, electromechanical experimental courses had been deeply loved by students.Moreover, the students' practical ability and innovation ability have been improved.
Identification of Some Variables Affecting the Granting of The Fundamentals of Computer and Internet Certificate (IC3)

To identify certain variable that influence the result Internet and Computing Core Certification examination (IC3) which is conducted in the Computer Center and Internet at the University of Mosul.The affect of the response of the examination score in the computer applications by seven explanatory variables were studied, the variables are: the score of computer basics examination, the examinee's sex, the experience of the examinee in the computer, the specialization of the examinee, the participation of the examinee in courses, degree to be obtained through study and the repeated participation in the examination.Four statistical procedures were applied to select the best regression equation that involves the explanatory variables which have a real effect on the dependent variable.These procedures include: forward selection, backward elimination, stepwise regression and all possible procedures depending on certain comparison measures, which include mean square error MSe, and Mallows-Cp Statistics.It was clear that the best model which non-presence of the constant 0, and involves the variables: the score of computer basics examination, the examinee's sex, the specialization of the examinee and degree to be obtained through study.
GROUNDWATER CHARACTERIZATION IN SOUTHWESTERN ROMANIA USING FUZZY HIERARCHICAL CROSS CLUSTERING

A simultaneous hierarchical classification of groundwater in the Banat Plain-southwestern Romania and associated characteristics such as As(III), As(V), total As, trace metals (Al, Cd, Cr, Cu, Fe, Mn, Ni, Pb, Zn), pH and redox potential using Fuzzy Hierarchical Cross Clustering Algorithm was carried out.In samples containing more than 10 µg/L total As (13.9 -77.3 µg/L), the As(V) species represented 57±20% and 73±18% in the others.Arsenic speciation pattern was in agreement with basic pH (8.31 -8.49) and oxidizing conditions (369.0 -409.1 mV) in aquifer.The contents of metals were below the threshold values excepting Mn.The Fuzzy Hierarchical Cross Clustering Algorithm emphasized pH and redox potential as main parameters responsible for water samples grouping.Part of water samples containing > 10 µg/L As have as associated parameters the content of Pb, Cr, Zn and Fe, and pH plays a key role in natural occurrence of these elements by desorption from Fe minerals/oxyhydroxides.The other water samples with > 10 µg/L As were grouped based on redox potential, As (III), As (V), total As, Cd, Ni, Cu, Al and Mn concentrations.The source of these elements was attributed to desorption processes from Al minerals/oxyhydroxides and Mn oxyhydroxides governed by the redox potential.The Fuzzy Hierarchical Cross Clustering emphasized the importance of trace metals quantification for classification of groundwater with naturally enriched As content.