Reviewerly/exHarmony huggingface dataset:
Minimizing the Total Completion Time and Total Earliness Time Functions for a Machine Scheduling Problem Using Local Search Methods

In this paper we investigate the use of two types of local search methods (LSM), the Simulated Annealing (SA) and Particle Swarm Optimization (PSO), to solve the problems ( ) and . The results of the two LSMs are compared with the Branch and Bound method and good heuristic methods. This work shows the good performance of SA and PSO compared with the exact and heuristic methods in terms of best solutions and CPU time.
CREATION OF ELECTRONIC LEARNING OBJECTS FOR THE HIGH COGNITIVE LEVELS OF BLOOM’S DIGITAL TAXONOMY

The training of students - future teachers in Informatics and Informational Technologies is a responsible and multi-layered task. It requires future teachers to use the modern digital technologies providing the digital competence required by national and European standards; to know the current and perspective features of modern young people; to be skillful at software tools for creating electronic learning objects so that they can create effective blended learning in accordance with the generally accepted ergonomic and didactic aspects of pedagogical psychology; to apply digital training methodologies for training in computer science subjects; to define, research and find solution to scientific problems in their pedagogical practice.Changes in the characteristics of modern pupils that characterize them as a ‘Digital Generation’ genuinely generate the need for interactive e-learning, mobile and blended learning, especially in the field of computer sciences. Considering these facts parallel changes in the taxonomy of learning objectives have also emerged - from classic to revised to digital.To explore the problem of synchronizing the training of future teachers in Informatics and Informational Technologies in line with the dynamics of the learning objectives taxonomy, we use the following methods: we clarify the concepts of ‘blended learning’, ‘e-learning’, ‘m-learning’ and ‘electronic learning object’; we review the characteristics of the digital generation; we follow the evolution in the taxonomy of learning objectives; we clarify the levels of interactivity that are achieved when creating e-learning objects for blended learning implementation; we offer digital instrumentation and authoring tools that students acquire to create electronic learning objects for the high cognitive levels of Bloom's digital taxonomy - evaluation and creation.In conclusion, we comment on the advantages of being skillful at the toolkit for creating electronic learning objects of varying degrees of interactivity and suitable models for their inclusion in the Informatics and Information Technology teaching units in the implementation of blended learning.
Impact of Demonetization on Financial Inclusion and Digital Payments

It was the night of 8th November 2016, when the Government of India demonetized high value currency notes of Rs.500 and Rs.1000.It implied that these two denominations are denied the status of legal tender.The intention behind demonetization was to curb black money and fight corruption and counterfeit currency.Counterfeiting of Indian currency has been a means for promoting terror activities in the world and Indian government aimed to tackle this through demonetization.These notes were replaced with new set of currency notes of Rs.500 and Rs.2000.Demonetization is not a new concept in India and has happened thrice in the past on 12th January 1946, 16th January 1978, and 8th November 2016.The aim of the present study is two fold-Firstly to understand the concept of demonetization and the reasons behind it.Secondly, to analyse its impact on financial inclusion and digital payments.As defined by World Bank--Financial inclusion means that individuals and businesses have access to useful and affordable financial products and services that meet their needs transactions, payments, savings, credit and insurancedelivered in a responsible and sustainableway‖.Digital payment, on the other hand, means using digital technology to send and/or receive money.For the present study, data related to Indian economy has been collected from Global Findex database, as provided by World Bank, for three different time periods; 2011, 2014 and 2017.Results have shown that demonetization has had a positive impact on both financial inclusion and digital payments.The results would be useful for future studies on demonetization and for policy implications of the government.
User acceptance of ATM biometric authentication

Malaysia is amongst one of the first countries in the world to use biometrics as a standard in its identification cards and automatic teller machines (ATMs). Currently, there is a lack of studies in Malaysia and around the world that studied the user acceptance of ATM biometric authentication technology. All previous studies tended to overlook the user acceptance of ATM biometrics authentication which is an increasingly important mechanism to verify user identity in banking industry. Therefore, this study is carried out to examine the key factors of user acceptance of ATM biometric authentication technology in Malaysian banks. The target population of this study was customers of commercial banks in the central region of Malaysia. The participants were randomly selected. The questionnaire was distributed to 200 bank customers who have at least 1-year experience in using ATM biometric authentication. The items in the questionnaire were derived from the extensive survey of relevant literature and oral interview. The findings show that both the performance expectancy and social influence have significant effects on user adoption of ATM biometric authentication.&#x0D; Keywords: ATM, behavioural intention to use, biometrics, performance expectancy, social influence.
Pre-Editing of Google Neural Machine Translation

&lt;span&gt;Even with the new Machine Translation (MT) platform available in Google today (Neural, as compared to the previous Statistical one in the previous years), the output is not always satisfactory. This is even more obvious in specific contexts and situations. &lt;/span&gt;&lt;span lang="IN"&gt;Research has shown that the implementation of rules for the process prior to and the one that follows the input activities into an MT (often referred to as the pre-editing and post editing process) has proven to be fruitful (Gerlach, et. al., 2013; Shei, 2002). However, to the best knowledge of the researcher, no research on pre-editing rules on Indonesian input into MT has been conducted. This research is significant because it might increase efficiency and effectiveness of MT, especially for the language pair Indonesian-English. For that reason, t&lt;/span&gt;&lt;span&gt;his research intends to identify the pre-editing &lt;/span&gt;&lt;span lang="IN"&gt;rul&lt;/span&gt;&lt;span&gt;es required to create a solid basis to translate Indonesian Source Text (ST) into English Target Text (TT). &lt;/span&gt;&lt;span lang="IN"&gt;This research adopts the product-oriented research. The results show that in the pre-editing process, the length of the sentence, the conjunctions (subordinative and correlative), and the inappropriate ST words should be the focus of attention.&lt;/span&gt;
FGB: Feature Guidance Branch for Organ Detection in Medical Images

In this paper, we propose a novel method that detects and locates different abdominal organs from CT images. We 1) utilize the distributions of organs on CT images as a prior to guide object localization; 2) design an efficient guidance map and propose an interpretable scoring method, feature guidance branch (FGB) to filtrate low-level feature maps by scoring for them; 3) establish effective relations among feature maps by visualization to enhance interpretability. Evaluated with three public datasets, the proposed method outperforms the baseline model on all tasks with a remarkable margin. Furthermore, we conduct exhaustive visualization experiments to verify the rationality and effectiveness of our proposed model.
Image classification based on the kohonen network and the data space modification

In this paper, we propose the solution of visual objects recognition in computer vision problems using the classification of descriptors of image keypoints based on the training of Kohonen neural network on the description data of etalon images.According to the results of training within the set of etalons, the image classification method has been improved by defining a specific data space in the form of a statistical center for each etalon.We propose mathematical models for the bitwise analysis of multiple descriptors searching for the centers and the method for convolution of descriptions from multiple descriptors with the determining a posteriori probabilities for the system of bit centers.Methods of data space transformation of description bits are proposed for various options for Kohonen network training, processing and estimation of class centers.The software implementation of the changed classifier was performed as well as the processing time with different options for determining the space of training data was estimated.Experimental researches confirmed the high efficiency of classification preserving sufficient performance and the ability to use proposed methods in real-time applications.
Four Models of Higher Education in 2030

Abstract This chapter provides four models of higher education for the year 2030, namely the Tamagotchi, Jenga, Lego Set, and Transformer models. The Tamagotchi model represents the classic approach to higher education, starting right after secondary school and leading up to a bachelor’s or master’s degree and then transitioning into employment, finishing the path of higher education. The Jenga model, while similar to Tamagotchi, appeals to nontraditional students because of its shorter learning span and focuses on later phases of self-learning and -organization. The Lego Set model is fittingly named after the individually combined modules of different sizes, making for a self-reliant and non-standardized learning path rather than one compact unit. The Transformer model represents learners whose initial phase of education may have long passed, but who return to higher education to acquire new basic knowledge or upskill their formal education. It relies on the idea that everyone must have opportunities to leave their current professional paths and change course.
Politeness Strategy in Interlanguage Pragmatics of Complaints by International Students

The study aims to investigate the speech acts of international students in Universitas Muhammadiyah Surabaya in giving complaints. This study focuses on the complaint speech acts and the politeness strategy which are produced by International students who have different cultural background. This study used qualitative approach because it observed the complaints speech acts of International students in applying the politeness strategy. There were four participants consist of three males and one female. They came from Mexico, Thailand, East Timor and Togo. The data were taken by purposive sampling. The data contained the complaints which were delivered by the international students conducted through chatting on WhatsApp. Those were collected, categorized, analyzed and concluded. Finally, it is inferred that complaint speech acts which used by showing irritation or disapproval expression and blame. Thus, in politeness strategy, social distance (age and status) and cultural background induce the way of giving complaints. Bald on record politeness strategy is used in the culture which has directness term. Moreover, negative politeness is applied by the complainer who has culture in indirectness term. Bald on record politeness strategy has the chance for face threatening acts (FTA) in the other hand, negative politeness strategy can avoid the FTA.
Survey on Machine Translation systems for Ancient Indian Languages

Sanskrit is a less ambiguous, language suitable for natural language processing.Most of the ancient In-dian books were written Sanskrit.This paper is a survey done on different Sanskrit involved machine translation systems.
Patch Attack for Automatic Check-out

Adversarial examples are inputs with imperceptible perturbations that easilymisleading deep neural networks(DNNs). Recently, adversarial patch, with noiseconfined to a small and localized patch, has emerged for its easy feasibilityin real-world scenarios. However, existing strategies failed to generateadversarial patches with strong generalization ability. In other words, theadversarial patches were input-specific and failed to attack images from allclasses, especially unseen ones during training. To address the problem, thispaper proposes a bias-based framework to generate class-agnostic universaladversarial patches with strong generalization ability, which exploits both theperceptual and semantic bias of models. Regarding the perceptual bias, sinceDNNs are strongly biased towards textures, we exploit the hard examples whichconvey strong model uncertainties and extract a textural patch prior from themby adopting the style similarities. The patch prior is more close to decisionboundaries and would promote attacks. To further alleviate the heavy dependencyon large amounts of data in training universal attacks, we further exploit thesemantic bias. As the class-wise preference, prototypes are introduced andpursued by maximizing the multi-class margin to help universal training. TakingAutomaticCheck-out (ACO) as the typical scenario, extensive experimentsincluding white-box and black-box settings in both digital-world(RPC, thelargest ACO related dataset) and physical-world scenario(Taobao and JD, theworld' s largest online shopping platforms) are conducted. Experimental resultsdemonstrate that our proposed framework outperforms state-of-the-artadversarial patch attack methods.
Representing Programs with Dependency and Function Call Graphs for Learning Hierarchical Embeddings

Any source code can be represented as a graph.This kind of representation allows capturing the interaction between the elements of a program, such as functions, variables, etc. Modeling these interactions can enable us to infer the purpose of a code snippet, a function, or even an entire program.Lately, more and more work appear, where source code is represented in the form of a graph.One of the difficulties in evaluating the usefulness of such representation is the lack of a proper dataset and an evaluation metric.Our contribution is in preparing a dataset that represents programs written in Python and Java source codes in the form of dependency and function call graphs.In this dataset, multiple projects are analyzed and united into a single graph.The nodes of the graph represent the functions, variables, classes, methods, interfaces, etc. Nodes for functions carry information about how these functions are constructed internally, and where they are called from.Such graphs enable training hierarchical vector representations for source code.Moreover, some functions come with textual descriptions (docstrings), which allows learning useful tasks such as API search and generation of documentation.
Information and Mathematical Modeling as the Basis for the Professional Activity of Future Engineers in the Digitization Era

The development of new Information and Communication Technologies (ICT) and end-to-end digital technologies has led to the advent of the Digitization Era at the present stage of development of society.Thereupon "digitization" is the basis for transformation of engineering education.It is analyzed the significance of interdisciplinary approach to the training of a modern specialist of engineering-technical type with a justification for the need for mutual integration of knowledge at the level of ICT and fundamental technical sciences by the example of the disciplines "Computer Science -Mathematics", that is informational and mathematical modeling.The aim is to identify impact of Digitization on the theoretical and methodological foundations of an interdisciplinary approach in engineering education.Methods: it is used general scientific dialectic method, theoretical and methodological analysis and generalization of the content of informational, mathematical, pedagogical, methodological, scientific and technical literature in the field of engineering education.This allows to define the concept of integrated training task in Computer Science and Mathematics, complementing both the conceptual apparatus of the theory of learning tasks and interdisciplinary approach to the training of engineers.Results: it is formulated the concept of integrated training task in Computer Science and Mathematics.The concept is based on meaningful and activity approach to information and mathematical modeling.It is defined the typology of integrated training tasks in Computer Science and Mathematics characterized by the corresponding types of professional activity of technical engineers.It is substantiated the role of information and mathematical modeling as the main method for solving integrated training tasks.Conclusions: it is revealed the need for expanding interdisciplinary approach to the training of the "digital generation" of technical engineers in the conditions for the modern innovative economy of Russia.
Nondispersing Wave Packets in Lattice Floquet Systems

We show that in a one-dimensional translationally invariant tight binding chain, non-dispersing wave packets can in general be realized as Floquet eigenstates -- or linear combinations thereof -- using a spatially inhomogeneous drive, which can be as simple as modulation on a single site. The recurrence time of these wave packets (their "round trip" time) locks in at rational ratios $sT/r$ of the driving period $T$, where $s,r$ are co-prime integers. Wave packets of different $s/r$ can co-exist under the same drive, yet travel at different speeds. They retain their spatial compactness either infinitely ($s/r=1$) or over long time ($s/r \neq 1$). Discrete time translation symmetry is manifestly broken for $s \neq 1$, reminiscent of Floquet time crystals. We further demonstrate how to reverse-engineer a drive protocol to reproduce a target Floquet micromotion, such as the free propagation of a wave packet, as if coming from a strictly linear energy spectrum. The variety of control schemes open up a new avenue for Floquet engineering in quantum information sciences.
Akkise-Yalıhüyük (Konya) Arasının Stratigrafisi

In the vicinity of Akkise-Yalıhüyük (south of Konya) region, the Mesozoic sequence of the autochthonous Geyikdağı and the allochthonous Bozkır units is overlain by Neogene-Quaternary Neo- autochthonous cover units with an angular unconformity. Geyikdağı Unit is represented by Late Cretaceous Saytepe formation cosisting of abundant rudist neritic carbonates at the bottom and Campanian-Maastrihtian Alan formation made up of cherty, clayey pelagic limestone and marls at the top. These autochthonous units are overlain by Maastrihtian Hatip ophiolitic melange forming the lower tectonic zone of the allochthonous Bozkır unit. The second allochthonous tectonic unit in the region is represented by Boyalıtepe formation including Late Cretaceous pelagic deposits such as cherty limestone, clayey limestone-marl and radiolarite. The upper allochthonous package of the study area is also represented by the Middle Triassic-Jurassic Gencek formation consisting of medium-thick bedded, abundantly jointed neritic carbonate. The boundaries of autochthonous and allochthonous and Neo-autochthonous rocks in the region are generally faulted. Therefore, the semi-peneplene-peneplene areas of the region are in the form of a depression area. As a result of lacustrine transgression in the Miocene-Early Pliocene period, lacustrine deposition environments were formed in these depression areas. Therefore, today, some lacustrine sediments such as gravelly-sandy-muddy detritics (Sille formation), muddy-clayey carbonates (Ulumuhsine formation) and volcano-sedimentary units (Küçükmuhsine formation) and also dacitic-andesitic volcanics (Erenlerdağı volcanics) are seen in these depression areas. The newest deposits of the study area are the foothill-alluvial fan deposits (Topraklı formation) which were deposited in Late Pliocene-Pleistocene and alluvials in Holocene age.
A atuação do terapeuta ocupacional com base na Teoria da Integração Sensorial na assistência de crianças com Transtorno do Espectro Autista (TEA) durante a pandemia do Covid-19/The occupational therapist actuation based on the Sensory Integration Theory in the care of children with Autistic Spectrum Disorder (ASD) during the Covid-19 pandemic

O terapeuta ocupacional é um profissional importante no tratamento de crianças com Transtorno do Espectro Autista (TEA), dada a frequência de disfunção de integração sensorial. Durante a pandemia do Covid-19, o isolamento social ocasionou que crianças com TEA vivenciassem a interrupção do atendimento presencial, gerando prejuízos em suas ocupações. Dessa forma, buscou-se descrever a atuação do Terapeuta Ocupacional no Telemonitoramento através do uso da dieta sensorial. Concluiu-se que o uso da dieta sensorial é possível de ser implementado através do Telemonitoramento em Terapia Ocupacional durante a pandemia do Covid-19, proporcionando melhor organização sensorial da rotina da criança e contribuindo na auto- regulação de seu comportamento. AbstractThe occupational therapist is an important professional in the treatment of children with Autism Spectrum Disorder (ASD) because is frequency of sensory integration disfunction. During the Covid-19 pandemic, social isolation caused children with ASD to experience interruption of face-to-face care, causing losses in their occupations. Thus, we sought to describe occupational therapist actuation in Telemonitoring through the use of the sensory diet. It was conclued that the use of the sensory diet is possible to be implemented through Telemonitoring in Occupational Therapy during the Covid-19 pandemic, providing better sensory organization of the child's routine and contributing to the self-regulation of his behavior.Key words: Occupational Therapy; Sensory Integration; Autism Spectrum Disorder; Telemonitoring. ResumenEl terapeuta ocupacional es un profesional importante en el tratamiento de niños con trastorno del espectro autista (TEA), dada la frecuencia de la disfunción de integración sensorial. Durante la pandemia de Covid-19, el aislamiento social provocó que los niños con TEA sufrieran interrupciones en el cuidado personal, lo que causó pérdidas en sus ocupaciones. Por lo tanto, buscamos describir el papel del terapeuta ocupacional en la telemonitorización mediante el uso de la dieta sensorial. Se concluyó que el uso de la dieta sensorial se puede implementar mediante Telemonitoring en Terapia Ocupacional durante la pandemia de Covid-19, proporcionando una mejor organización sensorial de la rutina del niño y contribuyendo a la autorregulación de su comportamiento.Palabras clave: Terapia Ocupacional; Integración Sensorial; Trastorno del espectro autista (TEA); Telemonitorización.