Reviewerly/exHarmony huggingface dataset:
Spatio-Temporal Action Localization for Pedestrian Action Detection

Current state-of-the-art temporal action detection methods are focused on untrimmed, multi-target videos. As popularized in the object detection framework, these methods perform classification on action class and detection of the duration for multiple instances. But these methods are unrealistic because the action of targets is usually irrelevant and complex in real-world. The previous methods utilize optical flow to handle multiple instances, but they cost too much time on estimating optical flow for evaluating. Inspired by spatio-temporal action detection, we improve the previous method with a new pedestrian action detection network which can detect a pedestrian in real-time. We replace Single Shot Multi-Box Detection (SSD) with RFB-Net which is more efficiency. The tube linking algorithm is introduced to link bounding boxes to different action instances. We use pedestrian action detection network to only process RGB frames which cost less time compared to two-stream based methods. Our framework achieves comparable result compared to the state-of-the-art and can detect in real-time.
ЖOҒAPЫ OҚУ OPЫНДAPЫНЫҢ БIЛIМ БEPУ СAПAСЫНA СAPAПТAМAЛЫҚ ТAЛДAУ

The need for new reforms in education is caused by fundamental changes in public life, which impose new requirements on the individual, but do not find full reflection in the system of education. Modernization of the education system, the desire to achieve a more complete correspondence between the socio-economic reality and the needs of the individual are the main source of ensuring the need for quality educational services. The article presents an analysis of modern methods of assessing the quality of higher education in Kazakhstan, the need to develop a conceptual model of the accreditation system, contributing to the improvement of the domestic system of assessing the quality of education and its comparability and recognition at the international level. The article analyzes the problems of quality of education in Kazakhstan and foreign universities. In addition, the spectrum of analysis of the authors included different points of view on the quality of higher education over the past decade. The survey was attended by 40 experts from 4 leading universities of Kazakhstan: Abay KazNPU, E. Buketov KSU, M. Auezov SKSU, S. Amanzholov EK SU. On the basis of the analysis of results tendencies of development of an assessment of quality of the higher education are generalized. Key words. Higher education, educational services, quality of education, professional competencies, accreditation of HEE, expert assessment.
Chatbots for Smart Customer Services on Official Museum Websites

Recently, chatbots have become one of the most developed artificial intelligence-based applications in terms of numbers. In addition to providing 24-hour online user assistance, a chatbot can be integrated with marketing strategies to improve product exposure and increase conversion rates. In a museum, customer service staff usually spend considerable amounts of time responding to questions regarding opening hours, ticket prices, transportation modes, and exhibition information. Among these questions, 80% are routine and repetitive. If a chatbot can be used to answer these questions, in addition to reducing demand on human resources, museums can integrate chatbots with their online learning resources to provide detailed knowledge and personalized question and answer services. This study explored the requirements and procedures involved in establishing a chatbot in a museum’s official website. First, we analyzed and classified questions from museum visitors and then investigated the timing and willingness of these visitors to use the chatbot on the official website. Furthermore, we analyzed the advantages and disadvantages of the chatbot. Second, we explored the capabilities and design orientations of the customer service chatbot in the field of museums and planned the entire procedure from training to launching the chatbot. We also analyzed the tasks and purposes of each stage. Finally, we discussed methods for integrating various resources in this museum and constructed a smart and personalized online visitor question and answer system.
Analysis and comparison of RBC size in peripheral smear and mean corpuscular volume in automated method of peripheral smear

Introduction: MCV test is done to measure the average size of the red blood cells and its abnormalities.It is a part of a regular check-up to find any abnormalities present.MCV is calculated by using haematocrit values and RBC count.Though the MCV is an indicator for the RBC size, the calculation only used the PCV and RBC count.This study is done to find out the relation between the MCV and RBC size.Materials and Methods: Blood samples have been collected from a sample size of 50 patients randomly from a dental institutional laboratory.Anticoagulants are used to prevent the blood from clotting.The RBC size is calculated by using a standard formula from the peripheral smear of the obtained sample.MCV is obtained from the laboratory by using automated hemology analyser.Results are analysed statistically. Results and Conclusion:As the study states the method of RBC size calculation by using the peripheral smear alone and compared to the MCV values, a pathologist can very well analyze the macrocytic RBCs or Microcytic RBCs without an automated analyzer and there is no need of searching and comparing the size of small lymphocytes.A need for scale (in-built Vernier caliper) in the microscope which is useful for the RBC size analysis and it is also a time-saving method.This study concludes that a linear relationship between the RBC size and MCV statistically.
Class Balancing for Fraud Detection in Point Of Sale Systems

Restaurant servers are an example of an insider threat to the security of restaurant financial data. This paper applies machine learning to detect the digital representation of malevolent behavior of restaurant employees. The results of this research could be used to notify restaurant owners in real time when fraud is being committed. This paper applies machine learning (ML) techniques including neural networks, support vector machines, Random Forest, and Adaboost, to detecting insider fraud in restaurant point-of-sales data. By applying undersampling and oversampling class balancing techniques we show that ML techniques can improve fraud detection performance. In particular, detection with a Random Forest model using cross validation can be increased 55% by oversampling the minority class to the same size as the majority class. And results with a Neural Net model trained to detect fraud on the first year the restaurant opened, and tested on data from the following year can be improved by 50% by decreasing the majority class to be the same size as the minority class.
First-Person View Hand Parameter Estimation Based on Fully Convolutional Neural Network

In this paper, we propose a real-time framework that can not only estimate location of hands within a RGB image but also their corresponding 3D joint coordinates and their hand side determination of left or right handed simultaneously. Most of the recent methods on hand pose analysis from monocular images only focus on the 3D coordinates of hand joints, which cannot give a full story to users or applications. Moreover, to meet the demands of applications such as virtual reality or augmented reality, a first-person viewpoint hand pose dataset is needed to train our proposed CNN. Thus, we collect a synthetic RGB dataset captured in an egocentric view with the help of Unity, a 3D engine. The synthetic dataset is composed of hands with various posture, skin color and size. We provide 21 joint annotations including 3D coordinates, 2D locations, and corresponding hand side which is left hand or right hand for each hand within an image.
Нара(к)тивность и динамизм формы: перспективы производства текста в цифровую эпоху

[in English]Transition to the digital form of representation of narrative has contributed not only to the emergence of new literary genres but also has paved the way for designing dynamic literary structures that assume the active role of a reader. We have an opportunity to re-examine, in a new context, a number of concepts of Roland Barthes («productivity», «text production» and «Text»), and phenomenon of intertextuality based on typological, comparative-descriptive and structural methods of analysis. It’s reasonable to conclude that the transition to the digital form of representation of interactive literary texts has contributed to the emergence of a new category – a dynamic literary form. With its unique and important quality, such as the irreducibility of content to the same actual text, literature of this kind accumulates a number of distinctive features and concepts. Based on the principles described in the work, the literary web service «Naractivity» will be developed, which would help to create dynamic interactive texts. Among the alternative opportunities and techniques that are open to authors in the design of dynamic forms the following should be noted: a possibility of structural review of various literary genres, a wide poetic function of the synthesis of narratives, creation of a model of communicative rivalry, implementation of creative experimentation and/or research in texts of multiple authorship etc.
A model transformation approach to perform refactoring on software architecture using refactoring patterns based on stakeholder requirements

Software Architecture (SA) generally has a considerable influence on software quality attributes. Coordination of software architecture to the requirements of the stakeholders and avoiding common mistakes and faults in designing SA increases the chance of success of the project and satisfaction of the stakeholders. Making the wrong decisions at the architectural design phase usually proves very costly later on. Refactoring is a method which helps in detecting and avoiding complications, improving the internal characteristics of software, while keeping the external behavior intact. Various problems can undermine the architecture refactoring process. The existence of different requirements in different domains, the diversity of architecture description languages, and the difficulty of describing refactoring patterns lead to the difficulty of performing automatic and semi-automatic refactoring on the SA. In this study, we use model transformation as a way to overcome the above mentioned difficulties. In this regard, the first step is converting the SA to a pivot-model. Then, based on the refactoring patterns, the refactoring process is performed on the pivotmodel. And finally, the pivot-model is converted back to the original (source) model. In this paper, the requirements of the stakeholders are taken into account in the refactoring process by modeling them as refactoring goals. These goals show the importance of the quality attributes in the project and the process of refactoring. The applicability of the framework is demonstrated using a case study.
Improving students' ability to write narrative texts using pictures

This study is aimed in improving students' writing ability by using pictures in narrative text for Grade XI- IPS 5 SMA N 1 Cigugur Kuningan, the survey used of t-test data of experimental and control groups on pre-test and the shows that tactic is lower that ttab (0, 07 ˂ 1, 6759) that is no significant difference of pre-test mean of both groups. The result of there are given a different treatment, and it means that there is a considerable difference in the post-test way of both groups, which is the post-test mean of the experimental group is significantly higher. The result t-test of a hypothesis test in the experimental group, whit is tactic ˃ tab or 9, 72 ˃ 1, 7081 so the alternative hypothesis (Ha) the researcher found that the students gave positive responses on the use of the picture on student narrative writing skill. The results of the questionnaire analysis were only offered to the experimental group, which for the affective aspect was 370 or with the "agreed" criteria, for cognitive perspective are 170. It indicates the students' feeling toward English subject commonly, writing activity, and writing narrative text using picture especially is good. For the behaviour is 273 or in the "strongly agree" criteria. It indicates using snapshot is very good, an idea or belief toward English is essential are excellent, and they also agreed toward the difficulties of writing text without any media. After using a picture in writing narrative activity, these conclude that picture is significantly improving student narrative writing skill, and It's they made a considerable improvement in some aspect of writing skills such as content, organization, vocabulary and grammar.
STRATEGIES FASHIONED BY EFL STUDENTS IN ENDURING ACADEMIC WRITING

Academic writing papers in Indonesia require students to be able to write academically correct both in college assignments, essays, and journal articles. It has long been a serious discussion, especially in universities. Reputable journals always wait for the best and qualified articles (Wekke, 2015). This research is a qualitative descriptive design employing a case study model. There were 30 respondents involved in this study. They are all undergraduate students at Syiah Kuala University, Ar-Raniriy State Islamic University, and Serambi Mekkah University.  The data collection was done by distributing a set of questionnaire to the respondents. Later, the data analysis was carried out using descriptive statistics. The result shows that students utilize several strategies in writing academically. First, they frequently discuss the tasks with their colleagues, this is considered important because peer helps a lot in the learning process, including in writing. Second, in terms of outline organization of ideas, students usually make an outline or rough draft before writing. Later, regarding the organizational revision of content and writing coherence, the students rarely do this because the students ’ awareness in re-examining writing after the first writing was still very lacking. The students focus less on organization and ideas, only grammar.
Construction of the Teaching Faculty in Open Universities Based on Mobile Internet

The “Internet+” has become an inevitable trend of social development. The collision and integration of internet and education industry are also deeper, which sets off the upsurge of establishing open universities. As a new, convenient and interactive mode of education, open university is gradually recognized and accepted by the public. The key to construct open universities well is to construct the teaching faculty in open universities. This paper mainly discusses the construction of teaching faculty in open university based on the mobile internet environment, then discusses the necessity to construct the teaching faculty in open universities from the state to the education and to the teachers, finally discusses the construction strategy of the construction of teaching faculty in open universities based on internet from the aspects of university and teacher.
Analysis and Remodeling of the DirtyCOW Vulnerability by Debugging and Abstraction

It is hard to understand clearly the principle of DirtyCOW vulnerability of Linux operating system, even for many experienced kernel developers. An approach is presented to rebuild the design model of the related Linux system calls, which gives an insight into the vulnerability. The remodeling, i.e. model-rebuilding, is done by first constructing a control flow diagram based on the debugging and analysis of the OS kernel, and then turning the control flow diagram to an abstract program based on abstraction to the observed concrete states. The approach provides an effective way for the comprehension of complex legacy software.
Visualization Techniques for Large-Scale Monte Carlo Simulation

We present multiple modes of visualizing a largescale Monte Carlo simulation. Due to disparity of the data, there is no one best visualization technique to understand the results of the simulation. By connecting the visualization methods directly to the simulation, we are able to visually analyze the simulation as it occurs in real time. This includes viewing the parameters of the model, the relationships among variables, and the 3D environment in which the simulation takes place. Furthermore, these environments may be coordinated for one seamless visual analytic experience.
Data Fusion Based Hand Gesture Recognition By Using Kinect V2: A Literature Survey

Gesture recognition is a mathematical analysis of movement of body parts (hand / face) done with the help of computing device. It helps computers to understand human body language and build a more powerful link between humans and machines. Many research works are developed in the field of hand gesture recognition. Each work has achieved different recognition accuracies with different hand gesture datasets, however most of the firms are having insufficient insight to develop necessary achievements to meet their development in real time datasets. Under such circumstances, it is very essential to have a complete knowledge of recognition methods of hand gesture recognition, its strength and weakness and the development criteria as well. Lots of reports declare its work to be better but a complete relative analysis is lacking in these works. In this paper, we provide a study of representative techniques for hand gesture recognition, recognition methods and also presented a brief introduction about hand gesture recognition. The main objective of this work is to highlight the position of various recognition techniques which can indirectly help in developing new techniques for solving the issues in the hand gesture recognition systems. More over we present a concise description about the hand gesture recognition systems recognition methods and the instructions for future research.
Divide and Conquer with Subquery Factoring

Every programmer has at some point learned about modularization – splitting the code into smaller units each solving a distinct part of the whole, typically used in procedural languages as functions and procedures, like in PL/SQL. In SQL there are views to help reduce complexity and provide reusability. But you can also modularize in a local scope, for example, in PL/SQL you can create local functions and procedures in the declaraction section. In SQL there is a similar mechanism called subquery factoring, also commonly known as the with clause or sometimes common table expressions, statement scoped views, or named query blocks (just to mention some of the terms used for this).
Variable strength measurements of non-local observables

Quantum non-demolition measurements play an important role in quantum theory and many of its applications. In theory they are the most fundamental quantum measurements, but in practice their realization can be chal- lenging due to realistic constraints. In optics for example, most measurements are destructive since photons get absorbed by the detector. While some simple single particle non-demolition measurements are routinely done in optical setups by using a second degree of freedom to encode the results at an intermediate stage, measurements of degenerate non-local observables involving multiple photons remain challenging, especially when these are done at intermediate measurement strengths. Here we present an optical setup for performing variable strength non-demolition measurements of non-local observables in a pre and postselected setting. At the heart of the setup is an apparatus that can be used to turn a strong (projective) measurement into an arbitrary strength measurement by using a quantum eraser. We present our initial calibration results for this apparatus.
PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS MULTIMEDIA TIGA DIMENSI BERCODE UNTUK SEKOLAH DASAR

This study aims to produce a three dimensional encoded multimedia learning media for primary schools that are valid, practical and effective towards learning outcomes. The subjects of the study were students of grade VI of elementary school. This learning media is developed through three stages namely requirements analysis, design, development and implementation stages. To see the validity of the practicality expert evaluation is used one-on-one evaluation and small group evaluation, while to see the effectiveness used field tests. The results showed an expert evaluation of 4.34 with very valid criteria. One to one results are suggestions and comments. The results of the small group show an average of 3.8 or 76% means the response of students is positive. Learning outcomes obtained an average of 85.86. By using expert evaluations, one-on-one evaluations, small group evaluations, and field tests, it was concluded that the three-dimensional coded multimedia learning media for elementary schools that were developed were valid, practical, and had effectiveness in learning outcomes.
THE EFFECT OF THE GOVERNMENT OF INTERNAL CONTROL SYSTEM ON THE QUALITY OF FINANCIAL STATEMENTS IN THE COAL REGENCY VILLAGE OFFICE

This study aims to Determine the effect of the Government Internal Control System on the Quality of Financial Statements at the Village Office. This study uses an associative approach. The population in this study were village office employees with a sample of 35 respondents. Data collection techniques used with media questionnaire (questionnaires), interview methods, and documentation methods. The technique of data analysis in this study uses simple linear regression. The results of this study indicate that the government's internal control system (SPIP) does not Affect the Quality of Financial Statements.
Content Analysis of Tourism Development Trend in KCI Journals

The purpose of this study is to analyze the theoretical trend of tourism development by Content Analysis Method. In order to achieve the purpose of this study, this study examined the research trends such as publication year, research topic, research method, data collection method, and research subject related to tourism development published in domestic journals. The results of the analysis were obtained from 6 research outlets of the Korea Research Foundation of Tourism and Regional Development Societies. A total of 263 papers were analyzed. The consequences of this research is presented as follows: Research on tourism development has been subdivided from country to region according to the change of policy, and the research topic changes from the development of specific targets to its effect. In the future, research on tourism development regulations which are the basis of tourism development policy, and research on tourism products in terms of software needs to be activated.
Weeding or Rightsizing? Why Not Collection Adjustment?

Almost twenty years into the twenty-first century, libraries are under more pressure than ever to maximize use of their physical spaces, often through reduction in the size of print collections to allow for more study and collaborative user spaces. Print reduction is a balancing act of thoughtful review and stakeholder input, with assessment strictly by title circulation or book condition no longer acceptable in many academic environments. This session examines a new way of thinking about book and journal footprints in the library. What are the tools librarians can adopt to justify retaining current titles and housing future volumes? How do we involve stakeholders so that we see each other as partners with a common goal? What kind of workflow and time does this investment in adjusting the collection require and can it be scaled?  This paper will examine these issues and offer practical advice from her professional background and experiences in adjusting a collection size based on renovation needs.