Reviewerly/exHarmony huggingface dataset:
UID based Payment Interface

The 3 modes of payment that people use to carry out any transaction are: cash, cards, e wallets.But there might be some circumstances when the buyer cannot use any of the above mentioned modes of payment. To deal with such case a payment interface can be developed which won't require the customer to have a phone or a card or cash. Only the shopkeeper needs to have a smartphone having a camera. The customer needs to verify through iris scan to proceed with the transaction process. Aadhar cards are linked with bank accounts, which already contains the bio-metrics i.e. iris and the fingerprint, the input bio-metrics will be matched and verified.There is no need to collect information from the user, since Aadhar cards which contains the bio-metrics are already linked with the bank accounts can be used.
TEACHING READING COMPREHENSION USING TEAM ACCELERATED INSTRUCTION (TAI) TECHNIQUE

This study aims at examining whether students’ reading comprehension can be improved by using Team Accelerated Instruction (TAI) technique. This research used pre experimental design with one group pretest and post-test. The sample of this research was 34 students of tenth grade of SMK Pasundan 1 Cimahi in academic year 2017/2018. The instrument of this research was test which consist of multiple choice question. The data of this research was collected by giving reading comprehension test to students. The collected data of this research was analyzed using SPSS program. Then, the result of data analysis showed that mean of pretest 55.59 and after the implementation of Team Accelerated Instruction (TAI) technique the mean of posttest became 67.79. It shows that there are significant differences between pretest and posttest. Based on the data analysis, the null hypothesis was rejected. In other words, teaching reading comprehension using Team Accelerated Instruction (TAI) technique had significance improvement on students’ reading comprehension. The implementation of Team Accelerated Instruction (TAI) technique in teaching reading comprehension was able to resolve those difficulties since it required the students to share, discuss, and unite their thought or problem on comprehending the content of the text with other members of their group.
Reliability Enhancement of Neural Networks via Neuron-Level Vulnerability Quantization

Neural networks are increasingly used in recognition, mining and autonomous driving. However, for safety-critical applications, such as autonomous driving, the reliability of NN is an important area that remains largely unexplored. Fortunately, NN itself has fault-tolerance capability, especially, different neurons have different fault-tolerance capability. Thus applying uniform error protection mechanism while ignore this important feature will lead to unnecessary energy and performance overheads. In this paper, we propose a neuron vulnerability factor (NVF) quantifying the neural network vulnerability to soft error, which could provide a good guidance for error-tolerant techniques in NN. Based on NVF, we propose a computation scheduling scheme to reduce the lifetime of neurons with high NVF. The experiment results show that our proposed scheme can improve the accuracy of the neural network by 12% on average, and greatly reduce the fault-tolerant overhead.
Contradictions of professional self-determination of school students in the conditions of digitalization of economy (on the example of Omsk)

Humanitarian workers operate in complex environments with various challenges and demanding working conditions.These challenges put aid workers in a range of risks and under the pressure.However, human resources are crucial for success of humanitarian operations in general.At the same time, each humanitarian operation is reliant on logistics and logistics activities are always connected with logistic staff.Understanding what motivates logisticians to join the humanitarian sector is essential information for humanitarian organizations and for recruiters within.Also, knowing which factors influence motivation and job satisfaction of humanitarian logisticians could help the organizations to struggle with the extremely turnover they have to face.Up to this moment, needed skills and the performance of humanitarian logisticians were examined.Also, the motivators of humanitarian workers are covered in previous research.Therefore, the additional aim of this research is to extend the knowledge about the human resources in humanitarian sector as well.
Formation Of Key Competencies: Heuristic Conversation

Changes in social and economic spheres, growth of high-technology productions set a task for educational system to train the specialists with effective performance and constant self-development. In the modern context the orientation for proactive education and formation of competencies are necessary. Special attention should be paid to the development of key competencies, which are the base of the other skills. At present, the relevant objective is the development of pedagogic technologies directed at realizing this goal. Regarding this issue, the key role belongs to the developmental teaching. The analysis of heuristic conversation potential for forming key competencies on the basis of competency-based and technologic approaches is the objective of this research. Experience in problem solution, development of communication skills, formation of critical thinking, and ability to structure information with the help of this method are justified in the article. The obtained results can be used for further studying the forms, methods and modes of instruction, which promote the development of competencies. Also, it can be useful in teaching practice when setting a goal and choosing teaching methods.
Evaluation of Drainage System for Inundation Problems at Subdistricts of Lowokwaru, Malang City

Malang is a city in East Java with the level of development of rapid settlement areas, the region has grown in areas of land rainwater. The consequence of this development is the emergence of some new inundation in urban areas, one of them in Subdistrict Lowokwaru. Carrying amount inundation problems that occurred during 2018 in the Subdistrict Lowokwaru 4 times. Largely due to the drainage conditions are not maintained and are filled with trash and sediment. The conditions resulted in reduced sewer capacity and are not able to drain rainwater discharge and wastewater. Evaluation of the drainage system in subdistrict Lowokwaru includes analysis of technical and economic. On the technical aspects, hydrology and hydraulic analysis are carried out and evaluates sewer capacity. Economic aspects discuss the funding costs and maintenance operations of the drainage system management, as well as discuss the analysis of feasibility studies by calculating Benefit Cost Ratio and Net Present Value. The analysis showed that there are 21 sewers in condition without sediment that capacity is insufficient and 23 sewers in conditions with sediment are not met or sewer capacity is not technically eligible. It is necessary for a handling plan as an attempt to deal with the sewer capacity to drain the runoff discharge. The evaluation of economic aspects shows that the activity of handling inundation problems in the drainage system in Subdistrict Lowokwaru is feasible. This can be seen from the value of the B / C ratio is 1.83 (greater than 1) and the NPV value is positive
Integrating Instagram in Learning Strategies for Tertiary Blended Learning Course: A Case of Student Experience

Universiti Teknologi MARA (UiTM) encourages lecturers in applying Blended Learning as one of the delivery methods in teaching and learning processes. The university also has introduced ‘Week Without Walls’, an initiative whereby students will gather online and form study groups to create their own learning methods to study more efficiently with their peers. In this case study, the enhancement of learning process by social media with Instagram for the Plant Propagation Course at the tertiary level in Universiti Teknologi MARA, Sarawak Branch was investigated. The exploratory study used both qualitative and quantitative methods in data collection. Qualitative approach involved in synthesizing the comments of 31 students and evaluated based on the SAMR model and the Bloom’s taxonomy of the educational objectives. The quantitative approach used a set of questionnaire with data collected via google form where the link was disseminated via social media platforms to all respondents. The data were analyzed using descriptive statistics. The two segments of SAMR of enhancement and transformation were observed to be adopted by the students in line with Learning Outcomes of the Ministry of Education, Malaysia based on Boom Taxonomy. Although 85% of the respondents used Instagram in their social communication, only 29% strongly agreed and 43% agreed on using Instagram as a teaching/learning tool. The remaining 28% preferred the traditional face-to-face teaching/learning. The highlight of the group that supported using Instagram indicated that it could be freely used everywhere and anytime in preference to replacement classes. In addition, they were able to engage with all the course-mates outside of class more effectively as they could post their thoughts on the topics of other group assignments. The study confirmed the integrating Instagram in the learning strategies were accepted by majority of the students because of the benefits of flexibility and had provided a platform in learning which support the blended learning courses offered by higher education institution.
Social Interaction Among Adolescents Who Use Social Media

This study examines and discusses how social interactions of adolescents who use social media that carried out directly and indirectly, social interaction motives, and the impact on their psychological aspects.This research uses a qualitative approach.The research analysis used is the Interpretative Phenomenological Analysis (IPA).This study analyzed three cases of adolescents who use social media with an average social media usage of 7-10 hours per day.These three cases explain how the interaction of adolescents using social media.The results show that adolescents engage in social interactions with positive motives such as friendship, group discussion, business, and also honing language skills.In addition, there are two negative motives shown, namely revenge and the desire to drop.High intensity of using social media causes poor quality of direct interaction.Adolescents get busier with their mobile phones and do not heed the surrounding environment.
A New Time Series Prediction Method based on Intuitionistic Fuzzy C Means and Sigma Pi Neural Network

Humanitarian workers operate in complex environments with various challenges and demanding working conditions.These challenges put aid workers in a range of risks and under the pressure.However, human resources are crucial for success of humanitarian operations in general.At the same time, each humanitarian operation is reliant on logistics and logistics activities are always connected with logistic staff.Understanding what motivates logisticians to join the humanitarian sector is essential information for humanitarian organizations and for recruiters within.Also, knowing which factors influence motivation and job satisfaction of humanitarian logisticians could help the organizations to struggle with the extremely turnover they have to face.Up to this moment, needed skills and the performance of humanitarian logisticians were examined.Also, the motivators of humanitarian workers are covered in previous research.Therefore, the additional aim of this research is to extend the knowledge about the human resources in humanitarian sector as well.
THE INCREASING OF LANGUAGE AND LOGIC MATHEMATIC ABILITY OF EARLY CHILDHOOD EDUCATION THROUGH EDUCATIVE TOOLS “PAPAN FLANEL PINTAR” IN THE KINDERGARTEN

This study aimed to improve the language and logic mathematic ability of kindergarten children in group B through the application of educational tools “Papan Flanel Pintar”. The study method used Class Action Research. The study was conducted at Widya Putra Kindergarten group B which consisted of 9 boys and 11 girls. The study was done within 6 months from June to November 2010. The instruments in this study were the results of the work sheet, the results of observations, and documentation. The aspects observed in each cycle were the activities and influence of children's ability to use educational tools “Papan Flanel Pintar” to develop children’s language and logic mathematical ability. The data validation used checklists and triangulation. The data analysis technique used an interactive analysis model. The procedure of this study consisted two cycles and each cycle have two times of learning implementation in sequence; 1) action planning, 2) implementation of actions, 3) observation, and 4) reflection. The results of this study can be concluded that the application of Papan Flanel Pintar can improve the language and logic mathematic ability of children in group B Widya Putra Kindergarten, Darma Wanita, Sebelas Maret University Surakarta significantly at the stage of its development.
Eliminating the Repetitive Motions as a Preprocessing step for Fast Human Action Retrieval

Today, video searching methods dropped behind the growth of using capturing devices. Action retrieval is a new research field which seeks to use the captured human action for searching the videos. As most human actions consist of similar motions which are repeated over time, we seek to propose a method for eliminating the repetitive motions before retrieving the videos. This method, as a preprocessing step, can decrease the volume of the retrieval computations for each video. Here, a function is used to calculate a value per each pixel as its movement energy. Then, CWT (Continuous Wavelet Transform) is used for mapping the response function of the points into the frequency space to find similar motion patterns more easier. The DTW (Dynamic Time Wrapping) is then applied on the new space to find similar frequency patterns (episodes) over time. Finally, one of the similar episodes, i.e. some sequential frames, remains for the retrieval computations and others are eliminated. The proposed method is evaluated on KTH, UCFYT, and HMDB datasets and results indicate the proper performance of the proposed method. Eliminating the repetitive motions results into significant reduction in retrieval computations and time.
Algebraic Pure Tone Compositions Constructed via Similarity

We describe a family of musical compositions constructed by algebraic techniques, based on the notion of similarity between musical passages.
CSR Conception and Implications by Commercial Banks in the Context of Bangladesh: A Comparative Study on Selected Commercial Banks

Corporate Social Responsibility (CSR) is presently one of the most discussed topics by government, non-government and by business itself.CSR movement has gathered great momentum over the past number of years and is now regarded as most prevalent.The purpose of the study is to provide an in-depth scenario of CSR practices by commercial banks in Bangladesh.The study has been taken to observe different regulatory framework of CSR by commercial banks and their contribution.This study found CSR practices by commercial banks are quite scant in comparison to their earned profits.The study reveals that commercial banks are trying to swell up their contribution in accordance with Bangladesh Bank's proper guidelines regarding CSR practices.
SWR: Using Windowed Reordering to Achieve Fast and Balanced Heuristic for Streaming Vertex-Cut Graph Partitioning

Graph partitioning plays a very fundamental and important role in a distributed graph computing (DGC) framework, because it determines the communication cost and workload balance among computing nodes. Existing solutions are mainly heuristic-based but unfortunately cannot achieve partitioning quality, load balance, and speed at the same time. In this paper, we propose Sliding-Window Reordering (SWR), a streaming vertex-cut graph partitioning algorithm, that introduces a pre-partitioning window to re-order incoming edges, making it much easier for a greedy strategy to maintain balance while optimizing edge assignment at a minimal computational cost. We analytically and experimentally evaluate SWR on several real-world and synthetic graphs and show that it achieves the best overall performance. Compared with HDRF, the state-of-the-art at present, the partitioning speed is increased by 3–20 times, and the partitioning quality is increased by 15% to 30% on average when achieving balanced load among all nodes.
Image Restoration Based on Combined Dark Channel and Image Registration

Due to the influence of water surface fluctuation and water turbulence, underwater target imaging detection technology faces great difficulties. This paper proposes an image restoration method combining dark channel prior theory and image registration technology, mainly using B-spline based non-rigid registration framework to correct image distortion. Since the conventional image registration algorithm often uses the average image of the sequence as a reference image, the average image tends to have severe blurring, which reduces the accuracy of registration. Therefore, this paper proposes to use the dark channel prior theory for the deblurring of the average image, and then use the deblurred average image as a reference for image registration. The test results show that the method can effectively improve the imaging distortion caused by surface turbulence.
On Constructing Prime Order Elliptic Curves Suitable for Pairing-Based Cryptography

Since Boneh and Franklin implemented the Identity Based Encryption in 2001, a number of novel schemes have been proposed based on bilinear pairings, which have been widely used in the scenario of blockchain. The elliptic curves with low embedding degree and large prime-order subgroup (a.k.a pairing-friendly elliptic curves) are the basic components for such schemes, where prime order elliptic curves are most frequently used in practice. In this paper, a systematic method is utilized to find all the possible prime order families, then it is shown that all the existing constructions can be explained via our method. We further give the evidence that it’s unlikely to produce extra families.
Developing Ethnic Identity As A Condition Of Foreign Students’ Learned Helplessness Correction

Academic mobility in the modern multicultural educational space is a factor of increasing the education competitiveness; it contributes to the improvement of educational and scientific productivity is a tool for building a network of interactions, development and innovation. However, university students adaptation to foreign culture requires additional personal resources. The issue of a state of learned helplessness correction in the context of academic mobility, when a young person moves to another country to receive education, is of particular relevance. The new social and cultural environment, uncontrolled stressful events associated with moving, have unpredictable and uncontrollable impact on migrants, causing the complexity of the adaptation process and the emergence of a state of learned helplessness. The research objective is to develop practical recommendations for psychological services of educational institutions to work with foreign students, aimed at preventing and correcting the state of learned helplessness through the development of positive ethnic identity. The leading approach to the study of the problem was the systematization of theoretical and empirical data on positive ethnic identity and learned helplessness. The study resulted in understanding of the relationship of learned helplessness and positive ethnic identity, which allowed offering general practical recommendations for the organization of a multicultural educational space in the university in order to develop foreign students positive ethnic identity, and exactly the prevention and correction of learned helplessness.
Ways to improve management in the education of regions of the Russian Federation

This article discusses the conditions and ways necessary to improve the management of the education system on the periphery of the country, identifies factors, criteria and general obstacles affecting the effectiveness of the educational sector at the regional level.
Smart Composite Silica Nanomaterials

Ignác Capek* Author Affiliations Slovak Academy of Sciences, Institute of Measurement Sciences, Slovakia Received: November 26, 2019 | Published: December 02, 2019 Corresponding author: Ignác Capek, Slovak Academy of Sciences, Institute of Measurement Sciences, Slovakia DOI: 10.26717/BJSTR.2019.23.003894
Getting More Bang for Your Buck: Working with Your Vendor in the Age of the Shrinking Staff

Library expenditures for serials continue to grow, while, at the same time, library staffing for serials operations is declining. During NASIG’s 34th annual conference, a librarian and two serial vendors presented on the value of working together to optimize results for libraries with shrinking serials staff. Sara Bahnmaier, a librarian at the University of Michigan, Ann Arbor (U-M), reported on realignment of staff positions in the Technical Services division and how the library relies on subscription agencies to manage its serials accounts. Bill Sherfey, Regional Manager for Harrassowitz, a long-term vendor of the U-M Library, presented about the training and in-house expertise that a vendor offers to libraries in these times of lean staffing. Maria Hatfield, Vice President of Integrated Solutions at WT Cox Information Services, addressed how to establish an effective new vendor-library relationship to ensure the library gets the most support possible. These presentations support the NASIG tradition of building and improving relationships among librarians, vendors, and publishers, all important links in the supply chain of information services.
THE THEATRE OF HUMAN SHADOWS IN THE AGE OF ARTIFICIAL INTELLIGENCE

The study reviews the changes in human existence that occur in social philosophy in general and in society in particular, in the era of artificial intelligence systems.The demand for philosophical understanding of artificial intelligence systems is determined, first of all, by the severity of the manifestation of ethical issues related to the implementation of modern technological programs.Human, having created an artificial world with the help of technology, becomes its part, a kind of mediator, reconciling naturalness and artificiality in the world, his technicality and naturalness.The study analyzed the question: can modern technology, synthesizing itself with the natural in man, oppose its innate principle?Does a highly intelligent and highly moral being arise as a result of an act of divine creation or as a result of natural evolution and social development?In order to get answers to these questions, it is necessary to determine the options for the origin of man: 1) it is the result of natural evolution and social development -natural; 2) it is a supernatural origin; 3) artificial origin.The idea of creating a creature with artificial consciousness or even a full-fledged humanoid ("Homo Artificialis") [7, p. 156] is inseparable from the idea of the origin of man himself.It is also important to clarify the specifics of the concept of "artificial human" ("artificial intelligence").Any consciousness is already largely artificial, since it is fundamentally influenced by culture and civilization (only a baby is a "natural" being).The further appearance of the living space of mankind depends on the correct understanding and solution of these issues, therefore, the study of the socio-ethical aspects of artificial intelligence systems in the conditions of the technologicalization of life seems more relevant than ever.