Reviewerly/exHarmony huggingface dataset:
Secure & Safe Voting System using-Fingerprint Recognition

An Online Voting System is a safe and secure way to do the voting online.Those who do not have time or facility to go to the region to vote, it provides a very great opportunity to them to give their vote while sitting at home. It not only allows to vote at a specific voting day, we can even have the voting days to be extended as per the workload. It even also allows to cast their vote on the different occasions. The System Makes the utilization of Firebase as backend, for login, enlistment and for capacity reason which make our framework profoundly made sure about and solid. It also utilizes Firebase ML unit for fingerprint recognition which allows to cast the vote easily and individually. It also uses a unique sensor (unique mark sensor) for the fingerprint recognition. Words to be acknowledged: It is an alternate way to cast the vote safely and securely which is provided by the internet. Though it is completely ones choice to go to different assigned places to cast their vote.I.
Perilaku pencarian informasi pekerjaan oleh sarjana fresh graduate dengan analisis Model Wilson

Introduction. This paper discusses information seeking behavior of university fresh graduate. In fact, many university graduates still face serious difficulties in the job search process based on the increasingly high unemployment rate.&#x0D; Data Collection Method. Purposive sampling was used with 10 respondents. Interviews were used as a data collection technique. &#x0D; Data Analysis. Miles and Huberman data analysis was used in this study reduction, data presentation and conclusion..&#x0D; Resultsand Discussions. Two barriers in finding information were from psychological factors and interpersonal abilities. New graduates with low psychological and interpersonal skills, such as lack of self-confidence, confusion, inferiority, anxiety, lack of communication show uneffective search results. The situation where information sources are easily accessible supports faster information retrieval and vice versa. Our five informants who lived in the city with easy access support the infomatation seeking process.&#x0D; Conclusion Factors affecting information seeking behaviour were psychological situations, demographic circumstances, interpersonal abilities, environment and characteristics of information sources. Those five factors influence each other.
Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract)

Meta-algorithmics, the field of leveraging machine learning to use algorithms more efficiently, has achieved impressive performance improvements in many areas of AI. It treats the algorithms to improve on as black boxes – nothing is known about their inner workings. This allows meta-algorithmic techniques to be deployed in many applications, but leaves potential performance improvements untapped by ignoring information that the algorithms could provide. In this paper, we open the black box without sacrificing the universal applicability of meta-algorithmic techniques by automatically analyzing the source code of the algorithms under consideration and show how to use it to improve algorithm selection performance. We demonstrate improvements of up to 82% on the standard ASlib benchmark library.
The Essence of the Individual-Psychological Component of Social Competence of the Individual

The article is devoted to the problem of determining the essence of the individual-psychological component of social competence. Based on the analysis of scientific works, the individual-psychological component of the social competence of the student is considered as a unique, unique combination of physiological, psychological and psychological qualities of the individual, which determines the individual life style and personality development in interaction with society. In the course of the study it is stated that an individual is born with specific inclinations inherent in him, on the basis of which during the life depending on the conditions of education the structure and functions of the organism, personal mental being, psychological qualities develop and form. Our individually psychological qualities allow us to be successful in our educational, socio-cultural, professional activities because of the harmonious coexistence of the inner world and the external changing social reality.
The dual system as one of the features of socio-cultural sphere specialists teaching at the modern stage of education

Formulation and justification of the problem topicality.The relevance of the study is due to the fact that the problem of improving the quality of education is becoming one of the most persistent problems not only for the education system, but also for the state as a whole.It is necessary to improve the quality of education at all stages of training specialists, at all levels of education and with the participation of all interested parties in the training process.The educational system is expected to provide professional readiness and the ability of teachers to this innovative activity.Domestic educational practice, despite the emergence in many educational organizations of new teaching techniques and methods, the active development of new forms, technologies, teaching aids and other pedagogical innovations, retains inertia and professional rigidity.The features and advantages of the dual education system in the training of specialists of the social and cultural sphere has not been sufficiently studied, despite the large number of micro-materials on this issue.Analysis of previous studies and publications.The issues of improving the system of institutions of higher education were discussed and debated in both domestic and foreign research of A. M. Novikov, H.A. Borovskyi, V. A. Slastenin, A. P. Triapytsyn, V. Altunin, etc.In the field of higher education institutions the research of B. L. Agranovych, V
An Analysis of Chat Abbreviations and Slangs of the Students of the University of Port Harcourt

This paper examines chat abbreviation and slangs of the University of Port Harcourt students. The qualitative research design was used in analyzing the data collected using the descriptive content analysis. The sampling technique adopted in this paper is the purposive sampling technique and source of data for this paper is primarily observations from students of University of Port Harcourt online platforms and social media used by students and interview. The findings of this paper reveal that students of the University of Port Harcourt use single letters, digits and a combination of both to replace words while some of the words are shortened, contracted and clipped. The paper also establishes that the students abbreviate words in order to minimize cost, save time and add style to their writing. The paper further establishes that chat abbreviation and slangs of the University of Port Harcourt students do not follow the rules of grammar of English language since they are composed haphazardly. It was observed that students of University of Port Harcourt do not use their punctuation marks properly in their formal writings. This paper also reveals that chat abbreviations and slangs have affected the proper usage of English language by some of the students of the University of Port Harcourt. This paper recommends that students should become more conscious of the dangers of chat abbreviation in their academics and identify as well as appreciate the appropriate setting in which to use them.
Pedestrian and Lane Detection using Computer Vision

The road network of India is over 52,31,922 kms.During 2015 , the total number of traffic accidents were 4,96,762 with 4,86,567 persons were injured and 1,77,423 were killed.In order to avoid such road accidents, the collision of pedestrian with the vehicle on the highway should be prevented.So an approach for automatic lane and pedestrian detection on highways to prevent road accidents using deep learning and computer vision techniques is proposed.The pedestrian detection is done using tensorflow and HOG detector.Lane detection ensures that the vehicles are within the lane constraints and avoids the collision with vehicles on the nearby lanes.
Pengembangan Media Kartu Kamal dalam Penguasaan Kosakata Bahasa Arab

Abstract&#x0D; Vocabulary is one element of language that must be mastered by learners in mastering a particular language including Arabic. Learning Arabic vocabulary requires its own strategies so that the learning will not be boring, one of them is a card games. This study aims to develop Arabic vocabulary learning media in the form of cards named "kamal" as well as to determine their effectiveness. The research design uses Research and Devolopment (R n D) method. Based on the results of the study, it was shown that the kamal card was effectively used as an alternative to the Arabic vocabulary learning media seen from the differences in Student's pre-test and post-test scores. The results of the t-test are obtained t ^ (count)&gt; t ^ table. In the Class "B" series 1 and series 2 t ^ (count) it is 5.390 and 6.890, while the class "D" series 1 and series 2 t ^ (count) are 9.335 and 9.054 with coefficients (dk = 6) then t ^ table between the two classes are the same (2,466).&#x0D; &#x0D; Keywords: kamal card, game media, mufrodat.
Generic Approach for Customer Management System

Customer Complaints are considered as valuable and significant information that can be utilized to attain customer satisfaction. Accordingly, a complaint handling system can address customer dissatisfaction and prevent similar problems from reoccurring. The aim of this paper is to investigate the level of relationship between the complaints and complaint behaviors of the customers who benefit from the services offered. In this paper, a generic approach for the Customer Complaint Management System is proposed to have the ability to minimize customers’ dissatisfaction and on the other hand to motivate customers to take part of controlling the quality of the services provided. The "Service" was used to connect different databases from different platforms to retrieve certain data. The system starts by discussing the service implementation with the web-application interface development. Afterwards, the three main Services that were used in the proposed e-complaint web service were explored to get the Citizen and Staff data and how it's working. Then, these services were implemented in the web application each according to the operation that calls the service to retrieve certain data. Moreover, the most important reports extracted from the evaluation result were explored. For implementing the model, a web application was developed to exhibit the ability of the model as well as efficiency in e-Gov since it could be developed thoroughly. It was supposed that to complete the e-complaint system cycle, there is a need for five modules to implement this cycle; first module related to the "Citizen" who wants to fill his/her complaint; second module the "Admin" who manages the system users; third module the "Agent" who will deal with the Citizen complaints; fourth module the "Staff" who will analyze the causes and actions of each complaint; and fifth module the "Supervisor" who views the overviews reports and takes decisions for improvements. For evaluation purposes, a random generator has been created, which was able to generate random complaint scenarios that serve as input to the proposed model for creating Citizen Complaints. By applying these several test scenarios to the proposed model, it proved that it’s applicable to be applied to real data if it is available and would provide the same performance. The experimental results clearly indicate that using the Service-Oriented Architecture (SOA) is suitable to aid in creating e-complaint systems. The system was implemented using random generator by entering samples of data for 3 years. Also, the system has been tested with 12,015 complaint cases; 11,162 cases are solved and 848 cases still unsolved. The number of governors covered by the system is 29 areas. According to the results, the system counted the cases of gender as 5640 cases of male and 6375 cases of female. Also, counted Married/Single cases as 4674 married citizens and 7341 single citizens. The system also has received 6999 feedbacks.
Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract)

Modern theorem provers utilise a wide array of heuristics to control the search space explosion, thereby requiring optimisation of a large set of parameters. An exhaustive search in this multi-dimensional parameter space is intractable in most cases, yet the performance of the provers is highly dependent on the parameter assignment. In this work, we introduce a principled probabilistic framework for heuristic optimisation in theorem provers. We present results using a heuristic for premise selection and the Archive of Formal Proofs (AFP) as a case study.
Approaches to Analysis of the Piano Works byIannis Xenakis

Different approaches to the analysis of Iannis Xenakis’ music have been studied by the example of his work Eonta (1963– 1964) for piano and brass quintet, First Concert for piano and symphonic orchestra Synaphaï (1969) and Second Concert for piano and symphonic orchestra Erikhthon (1974). An alternative method ofstudying Xenakis’ works based on the analysis of the experience of decoding computer programs typical for composer’s works studying has been proposed. An important feature of the investigation is an application of psychological analysis in studies of mythological plots of works, linked with the ancient Greek titles of the works by I. Xenakis along with comparative, phenomenological historical, musical analysis and statement of the computer programs’ use. As the result of alternative method of analysis, for the first time in musicology, new, tragic aspects of I. Xenakis’ personality, reflected in his works, were revealed. The phenomenon identified by M. Heidegger as “throwing into being” is presented in Xenakis’ work, in a form of mythology; the archetype being reflected in the music composition through the dramatic collision of the relationship between the soloist and the orchestra. Established conceptual link between the music of the composer and the philosophy of M. Heidegger gives a new viewpoint on the work of Xenakis
Using AI Techniques in a Serious Game for Socio-Moral Reasoning Development

We present a serious game designed to help players/learners develop socio-moral reasoning (SMR) maturity. It is based on an existing computerized task that was converted into a game to improve the motivation of learners. The learner model is computed using a hybrid deep learning architecture, and adaptation rules are provided by both human experts and machine learning techniques. We conducted some experiments with two versions of the game (the initial version and the adaptive version with AI-Based learner modeling). The results show that the adaptive version provides significant better results in terms of learning gain.
Features of the educational process as factors of illusion of knowledge in students

The phenomenon of the illusion of knowledge as a mistake of metacognitive monitoring is considered in the article. The factors of illusion of knowledge that arise in the learning process (use of schemes and presentations, teacher feedback, group interaction, repetition of material, problematization of experience, type of test question, presence or absence of assessment situation) are analyzed. In the process of psychological and pedagogical experiment, the factors that increase the probability of the illusion of knowledge in the educational process of students have been identified
The Dimension of Discourse in English Class of Higher Education

The research aims to describe the dimension of discourse and identity of English lecturers. This research is conducted with a qualitative approach and content analysis method. The data source is recordings of classroom interaction of English lecturers. The data are analyzed using the classroom discourse framework of Betsy Rhymes which focuses on dimensions, namely social context, interactional context, and individual agency. These dimensions are analyzed through the source of turn takings, contextualization clues, narration, and framing. The result shows that in social context, the lecturers negotiate the interaction by giving more turns to the students, applying all the contextualization clues to accompany the utterance and supporting the interaction with narration and frame all to support students’ contribution. In interactional context, the lecturers include the experience of the students in all sources and use vernacular language. In individual agency, the lecturers include all students in a challenging and inclusive activity. The conclusion of the research is that the interaction in the classroom discourse dimension is influenced by the standard of education and the condition of students who lack confidence to speak English as the social context which influences the use of language in the class. However, the personal control of the lecturers to achieve the standard of education makes him/her manage the language use to provide context of interaction in order to make the students contribute to the interaction.
The Development of English Grammar Book Through Direct Method: Research and Development Study at Mambaus Sholihin English Course

Purpose - This research aims to understand the development of English book material for Grammar at Mambaus Sholihin English Course (MEC) Gresik.&#x0D; Design/methodology/approach - This research applied the Educational Research and Development (RnD) to develop the contents. This research method deals with the researcher’s purpose wants to be aimed by need analysis, drafting the document, organizing material, review, expert validation, revision I, try out, and correction II.&#x0D; Findings - This product has been suitable for the students’ needs to help them in learning grammar to be easier understood and practiced. The result shows that book is appropriated with the purposed to help them who need this research and development in relaxed and fun learning of grammar notification. Also, this book is completed with direct method although it is used in speaking skill more, it is also suitable for grammar in learning and teaching.&#x0D; Originality/value - It is important for a teacher or tutor to innovate in designing a teaching book that suits the needs of students. Especially for students who do not have a study handbook.&#x0D; Paper type – Research paper
Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract)

Continuously mining complexity data stream has recently been attracting an increasing amount of attention, due to the rapid growth of real-world vision/signal applications such as self-driving cars and online social media messages. In this paper, we aim to address two significant problems in the lifelong/incremental stream mining scenario: first, how to make the learning algorithms generalize to the unseen classes only from a few labeled samples; second, is it possible to avoid storing instances from previously seen classes to solve the catastrophic forgetting problem? We introduce a novelty stream mining framework to classify the infinite stream of data with different categories that occurred during different times. We apply a few-sample learning strategy to make the model recognize the novel class with limited samples; at the same time, we implement an incremental generative model to maintain old knowledge when learning new coming categories, and also avoid the violation of data privacy and memory restrictions simultaneously. We evaluate our approach in the continual class-incremental setup on the classification tasks and ensure the sufficient model capacity to accommodate for learning the new incoming categories.
Estimasi Model Regresi Kuantil Spline Kuadratik pada Data Trombosit dan Hematokrit Pasien DBD

Nonparametric quantile regression is used to estimate the regression function when assumptions about the shape of the regression curve are unknown. It is only assumed to be subtle by involving quantile values. One estimator in nonparametric regression is spline. The segmented properties of the spline provide more flexibility than ordinary polynomials. Therefore, the nature of the spline makes it possible to adapt more effectively to the local characteristics of a function or data. This study proposes to get the results of the estimation platelet count model to the hematocrit value of DHF. The optimal model obtained from the estimation of quadratic spline quantile regression is at quantile 0.5 with one knot and the GCV value is 41.5. The results of the estimation show that there is a decrease in platelet counts as the percentage of hematocrit increase.
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract)

Adversarial attack on graph neural network (GNN) is distinctive as it often jointly trains the available nodes to generate a graph as an adversarial example. Existing attacking approaches usually consider the case that all the training set is available which may be impractical. In this paper, we propose a novel Bayesian adversarial attack approach based on projected gradient descent optimization, called Bayesian PGD attack, which gets more general attack examples than deterministic attack approaches. The generated adversarial examples by our approach using the same partial dataset as deterministic attack approaches would make the GNN have higher misclassification rate on graph node classification. Specifically, in our approach, the edge perturbation Z is used for generating adversarial examples, which is viewed as a random variable with scale constraint, and the optimization target of the edge perturbation is to maximize the KL divergence between its true posterior distribution p(Z|D) and its approximate variational distribution qθ(Z). We experimentally find that the attack performance will decrease with the reduction of available nodes, and the effect of attack using different nodes varies greatly especially when the number of nodes is small. Through experimental comparison with the state-of-the-art attack approaches on GNNs, our approach is demonstrated to have better and robust attack performance.
Improving Semantic Parsing Using Statistical Word Sense Disambiguation (Student Abstract)

A Semantic Parser generates a logical form graph from an utterance where the edges are semantic roles and nodes are word senses in an ontology that supports reasoning. The generated representation attempts to capture the full meaning of the utterance. While the process of parsing works to resolve lexical ambiguity, a number of errors in the logical forms arise from incorrectly assigned word sense determinations. This is especially true in logical and rule-based semantic parsers. Although the performance of statistical word sense disambiguation methods is superior to the word sense output of semantic parser, these systems do not produce the rich role structure or a detailed semantic representation of the sentence content. In this work, we use decisions from a statistical WSD system to inform a logical semantic parser and greatly improve semantic type assignments in the resulting logical forms.
Submodel Decomposition for Solving Limited Memory Influence Diagrams (Student Abstract)

This paper presents a systematic way of decomposing a limited memory influence diagram (LIMID) to a tree of single-stage decision problems, or submodels and solving it by message passing. The relevance in LIMIDs is formalized by the notion of the partial evaluation of the maximum expected utility, and the graph separation criteria for identifying submodels follow. The submodel decomposition provides a graphical model approach for updating the beliefs and propagating the conditional expected utilities for solving LIMIDs with the worst-case complexity bounded by the maximum treewidth of the individual submodels.