Reviewerly/exHarmony huggingface dataset:
Virtualization Of Modern Society: Ontological, Epistemological, Axiological, Anthropological Aspects

The phenomenon of the Internet can be considered as a consequence of virtualization of society. The possibility of obtaining data about the object as close as possible to reality, which constitute its image, has become a qualitatively new aspect of the informatization of society. If to understand virtualization as a substitution of reality by its simulation (image) not necessarily using the computer technology, but necessarily using virtual reality logic (immaterial impact, convention of parameters, evanescence) the following question arises: Is virtualization an information process, and if so, what are its main characteristics? Virtual reality is a term characterizing a special type of interaction between heterogeneous objects (located at different hierarchical levels), as well as specific relations between them, i.e. generation and interactivity. Objects of the virtual level are generated by objects of the underlying level, but, despite their generation status, they interact with the objects of the generating reality as ontologically equal. The combination of virtual objects relative to the generating reality forms a virtual reality. Virtual objects exist only “here and now”, while in the generating reality there are processes generating them. The virtual objects disappear when the process of generation is over. It also makes sense to talk about virtual reality as a reality, because virtual reality has its own laws of nature, its own characteristics of time and space, which cannot be reduced to laws, time and space of the generating reality. An example of these kinds of objects can be virtual particles.
Shaded tangles for the design and verification of quantum circuits

We give a scheme for interpreting shaded tangles as quantum circuits, with the property that if two shaded tangles are ambient isotopic, their corresponding computational effects are identical. We analyse 11 known quantum procedures in this way—including entanglement manipulation, error correction and teleportation—and in each case present a fully topological formal verification, yielding generalized procedures in some cases. We also use our methods to identify two new procedures, for topological state transfer and quantum error correction. Our formalism yields in some cases significant new insight into how the procedures work, including a description of quantum entanglement arising from topological entanglement of strands, and a description of quantum error correction where errors are ‘trapped by bubbles’ and removed from the shaded tangle.
Requirements Variability Specification for Data Intensive Software

Nowadays, the use of feature modeling technique, in software requirements specification, increased the variation support in Data Intensive Software Product Lines (DISPLs) requirements modeling.It is considered the easiest and the most efficient way to express commonalities and variability among different products requirements.Several recent works, in DISPLs requirements, handled data variability by different models which are far from real world concepts.This,leaded to difficulties in analyzing, designing, implementing, and maintaining this variability.However, this work proposes a software requirements specification methodology based on concepts more close to the nature and which are inspired from genetics.This bio-inspiration has carried out important results in DISPLs requirements variability specification with feature modeling, which were not approached by the conventional approaches.The feature model was enriched with features and relations, facilitating the requirements variation management, not yet considered in the current relevant works.The use of genetics-based methodology seems to be promising in data intensive software requirements variability specification.
Hybrid backpropagation neural network-particle swarm optimization for seismic damage building prediction

The evaluation of the vulnerability of buildings to earthquakes is of prime importance to ensure a good plan can be generated for the disaster preparedness to civilians. Most of the attempts are directed in calculating the damage index of buildings to determine and predict the vulnerability to certain scales of earthquakes. Most of the solutions used are traditional methods which are time consuming and complex. Some of initiatives have proven that the artificial neural network methods have the potential in solving earthquakes prediction problems. However, these methods have limitations in terms of suffering from local optima, premature convergence and overfitting. To overcome this challenging issue, this paper introduces a new solution to the prediction on the seismic damage index of buildings with the application of hybrid back propagation neural network and particle swarm optimization (BPNN-PSO) method. The prediction was based on damage indices of 35 buildings around Malaysia. The BPNN-PSO demonstrated a better result of 89% accuracy compared to the traditional backpropagation neural network with only 84%. The capability of PSO supports fast convergence method has shown good effort to improve the processing time and accuracy of the results.
Inversion, Iteration, and the Art of Dual Wielding

The humble $$\dagger $$ (“dagger”) is used to denote two different operations in category theory: Taking the adjoint of a morphism (in dagger categories) and finding the least fixed point of a functional (in categories enriched in domains). While these two operations are usually considered separately from one another, the emergence of reversible notions of computation shows the need to consider how the two ought to interact. In the present paper, we wield both of these daggers at once and consider dagger categories enriched in domains. We develop a notion of a monotone dagger structure as a dagger structure that is well behaved with respect to the enrichment, and show that such a structure leads to pleasant inversion properties of the fixed points that arise as a result. Notably, such a structure guarantees the existence of fixed point adjoints, which we show are intimately related to the conjugates arising from a canonical involutive monoidal structure in the enrichment. Finally, we relate the results to applications in the design and semantics of reversible programming languages.
Effects of Different coefficients on MFCC and PLP for Bangla Speech Corpus using Tied-state Triphone Model

This paper has observed the effects of different coefficients for MFCC and PLP feature extraction techniques for Bangla corpus System. We have first observed the effects of 12 coefficients for every 10 ms frames, and then added the delta and accelerating coefficients to get 24 and 36 coefficient vectors per frame respectively. Then we have also observed the effect of appending the power coefficient and its first and second derivative while getting a 39 coefficient feature vector per frame. In addition, we have further appended 13 third differential coefficients to make a vector set of 52 coefficients per frame to observe the effect of third differential coefficients too. From the experimental results, we have observed that for gender unbiased models, delta addition has shown the maximum detection both for speaker dependent and independent system. But for speaker independent gender biased models, acceleration, power, and third differential coefficients addition have increased the detection for both MFCC and PLP in noise-free audio samples with the sampling rate of 44.1 KHz.
INCREASING TEACHING QUALITY THROUGH CREATING EFFECTIVE TEACHING AND LEARNING ENVIRONMENT IN RUSSIAN HEIS

INCREASING TEACHING QUALITY THROUGH CREATING EFFECTIVE TEACHING AND LEARNING ENVIRONMENT IN RUSSIAN HEIS
Practical self-testing QRNG based on an energy bound

We present a scheme for a self-testing quantum random number generator. Compared to the fully device-independent model, our scheme requires an extra natural assumption, namely that the mean energy per signal is bounded. The scheme is self-testing, as it allows the user to verify in real-time the correct functioning of the setup, hence guaranteeing the continuous generation of certified random bits. Based on a prepare-and-measure setup, our scheme is practical, and we implement it using only off-the-shelf optical components. The randomness generation rate is 1.25 Mbits/s, comparable to commercial solutions. Overall, we believe that this scheme achieves a promising trade-off between the required assumptions, ease-of-implementation and performance.
Personalized Sentence Generation using Generative Adversarial Networks with Author-Specific Word Usage

The author-specific word usage is a vital feature to let readers perceive the writing style of the author. In this work, a personalized sentence generation method based on generative adversarial networks (GANs) is proposed to cope with this issue. The frequently used function word and content word are incorporated not only as the input features but also as the sentence structure constraint for the GAN training. For the sentence generation with the related topics decided by the user, the Named Entity Recognition (NER) information of the input words is also used in the network training. We compared the proposed method with the GAN-based sentence generation methods, and the experimental results showed that the generated sentences using our method are more similar to the original sentences of the same author based on the objective evaluation such as BLEU and SimHash score.
GRAVITATING TOWARDS TECHNOLOGY IN EDUCATION: PLACE OF MAKERSPACE

Based on constructivist philosophy which focuses on enabling learners to generate knowledge throughinteraction with physical objects, the idea of makerspace was initiated. The main essence ofmakerspace is to stir creativity, innovations and motivate learners towards designing and inventing.This paper is an exposition on the place of makerspace as a new approach to pedagogical activities.The 21st century is immersed in information and communication technology revolution which hasnecessitated a new way of learning. New generation of learners are referred to as digital natives whoare naturally gravitated towards new innovations. This paper relies on recent scholarly publications topoint out intricacies of makerspace, the need for educators to embrace it, the new role for educatorsand other stakeholders in education and the need to manage this change in the educational system.The paper also points out the challenges that this new wave encounters in areas where adoption hastaken place and the benefits of adopting makerspace. Conclusion is however made that change isconstant and the idea of makerspace may be the new shift that will totally revolutionize the academicworld. It is suggested that Faculty and Management need to encourage studies to evaluate accruablebenefits of makerspace.
PENGARUH MODEL PEMBELAJARAN EXAMPLE NON EXAMPLE UNTUK MENINGKATKAN HASIL BELAJAR TEMATIK BAGI SISWA KELAS VI SD

The purpose of this study was to determine the effect of the example non example learning model on the thematic learning outcomes sixth graders in elementary school. This research is a type of experimental research. The data collection technique uses tests. Data were analyzed using independent sample t-test. Based on the results of research and data analysis it is evident that the example non example learning model can improve learning outcomes of elementary school students in grade VI. This can be seen from the difference in the average value of students in class VIA as an experimental class (X1) of 88.16 greater than in class VIB as a control class (X2) of 56.19. Whereas, the significance value of t-count is 0.001 &lt;0.05 so it is H0 rejected and Ha accepted. Then it can be concluded that there is the influence of the example non example learning model on the learning outcomes of thematic learning outcomes of sixth grade students
Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning

In the context of deep learning, the costliest phase from a computational point of view is the full training of the learning algorithm. However, this process is to be used a significant number of times during the design of a new artificial neural network, leading therefore to extremely expensive operations. Here, we propose a low-cost strategy to predict the accuracy of the algorithm, based only on its initial behaviour. To do so, we train the network of interest up to convergence several times, modifying its characteristics at each training. The initial and final accuracies observed during this beforehand process are stored in a database. We then make use of both curve fitting and Support Vector Machines techniques, the latter being trained on the created database, to predict the accuracy of the network, given its accuracy on the primary iterations of its learning. This approach can be of particular interest when the space of the characteristics of the network is notably large or when its full training is highly time-consuming. The results we obtained are promising and encouraged us to apply this strategy to a topical issue: hyper-parameter optimisation (HO). In particular, we focused on the HO of a convolutional neural network for the classification of the databases MNIST and CIFAR-10. By using our method of prediction, and an algorithm implemented by us for a probabilistic exploration of the hyper-parameter space, we were able to find the hyper-parameter settings corresponding to the optimal accuracies already known in literature, at a quite low-cost.
Fuzzy Control Algorithm for Estimation and Interaction of Dynamic Arm Motion

Background: Significant work has been conducted in the direction of an intelligent interface development through Human-Computer Interaction (HCI). Various forms of information, such as video, audio, or in the written form, have been proposed either separately or in combination. Methods: This paper proposes an interactive contact solution based on the distinct characteristics of contract distribution and the spatial and temporal consistency to establish a multiple display system. Results: The correspondence between the user’s arm position information and the virtual scene was established by utilizing a virtual 3D interactive rectangular parallelepiped. An estimation technique of the arm motion was designed, in conjunction with the employment of the Fuzzy Predictive Control Mamdani Algorithm (FPCMA) using Robust Tracking (RT) for the user’s arm position and for validating the efficiency and accuracy, Kalman filter algorithm (VEA) was used to test the stability. Conclusion: For RT, using FPCMA is 1.21 for 17fps while 0.83 for 35fps. For the output, the VEA accuracy rate is 0.97.
Clickbait on Indonesia Online Media

Information and Communication Technology (ICT) brings changes in various fields including influencing the media landscape with the development of online media and the way people consume media online. This change makes the media must be able to attract online media readers using the clickbait article title. Therefore, this study is to find out how online media packages clickbait article. This research is a qualitative research method with the object of this research are clickbait titles in Indonesian online media that are selected based on certain criteria that are in accordance with the research problem. The results of this study indicate that, in general, the use of clickbait article titles is widely used by online media to attract the interest of readers by disturbing the curiosity that arises due to the information gap between what the reader knows and what the reader wants to know. The titles of many clickbait articles focus on the subject of celebrities, rumors, and fictitious accounts and some don't even have news value. The main purpose of using the clickbait article title is to direct online media users to increase visit statistics which are then used to earn revenue through advertising.
A Ciência da Informação no Brasil: mapeamento da pesquisa e cenário institucional

Objective . Present the Brazilian research in Information Science in this institutional outlook and from the mapping of themes and theories produced by the researchers. Design/Metodology/Approach . For the institutional outlook, we present the performance of two scientific associations: Brazilian Association of Education in Information Science and National Association of Research and Graduation in Information Science. Presents the researched themes by professors and students in the Brazilian graduation scope, more specifically from the National Meeting of Research in Information Science, an annual event that brings together researchers from all over the country and from abroad. The state of art is evidenced in a timeline, through the themes recurrently presented in the aforementioned event. Results/Discussion. It’s possible to observe in what way the scientific field has been consolidated, whose discussions related to the country reality focus on problems that motivate the researchers in the research development, that can somehow contribute to the advancement of the scientific field, as well as respond satisfactorily to the demands arising from Brazilian society. Originality/Value. The mapping presented is unprecedented and represents the consolidation of two viewpoints, the institutional and the scientific works produced by the scientific community. At last, we focus in the singularity of the Brazilian Information Science research, the result of the dialogue and appropriation of the USA, Europe and Latin America research elements, as well as a protagonism of autonomy towards an original perspective in the international scene.
Digitizing, archiving... and then? Ideas about the usability of a digital archive

Digitizing is everywhere. Archives and libraries bring their holdings into the digital world. New sources are created exclusively digitally. The archive is and will become digital. The process of digitization has been going on for more than twenty years and has increased considerably since the appearance of the first smartphone. It is now possible to be online, read and generate digital content around the clock. And the amount of data is enormous. At the Data and Service Center for Humanities, we are confronted with this amount of data in the research field, and we try to bring the different data models and different media types into a uniform but flexible system. The difficulty is not the data storage anymore but the presentation and usage of the data. The aim is not to archive data, but to keep them alive. Availability and usability are playing an important role. Right now, we are two front-end developers building our infrastructure web applications and think about new possibilities to bring the data to the users.
Background Subtraction Based on Fusion of Color and Local Patterns

Segmentation of foreground objects using background subtraction methods is popularly used in a wide variety of application areas such as surveillance, tracking, and human pose estimation. Many of the background subtraction methods construct a background model in a pixel-wise manner using color information that is sensitive to illumination variations. In the recent past, a number of local feature descriptors have been successfully applied to overcome such issues. However, these descriptors still suffer from over-sensitivity and sometimes unable to differentiate local structures. In order to tackle the aforementioned problems of existing descriptors, we propose a novel edge based descriptor, Local Top Directional Pattern (LTDP), that represents local structures in a pattern form with aid of compass masks providing information of top local directional variations. Moreover, to strengthen the robustness of the pixel-wise background model and get benefited from each other, we combine both color and LTDP features. We evaluate the performance of our method on the publicly available change detection datasets. The results of extensive experiments demonstrate the better performance of our method compared to other state-of-the-art unsupervised methods.
On fixed point theory in partially ordered sets and an application to asymptotic complexity of algorithms

The celebrated Kleene fixed point theorem is crucial in the mathematical modelling of recursive specifications in Denotational Semantics. In this paper we discuss whether the hypothesis of the aforementioned result can be weakened. An affirmative answer to the aforesaid inquiry is provided so that a characterization of those properties that a self-mapping must satisfy in order to guarantee that its set of fixed points is non-empty when no notion of completeness are assumed to be satisfied by the partially ordered set. Moreover, the case in which the partially ordered set is coming from a quasi-metric space is treated in depth. Finally, an application of the exposed theory is obtained. Concretely, a mathematical method to discuss the asymptotic complexity of those algorithms whose running time of computing fulfills a recurrence equation is presented. Moreover, the aforesaid method retrieves the fixed point based methods that appear in the literature for asymptotic complexity analysis of algorithms. However, our new method improves the aforesaid methods because it imposes fewer requirements than those that have been assumed in the literature and, in addition, it allows to state simultaneously upper and lower asymptotic bounds for the running time computing.
PROMOTING EXTENSIVE READING ACTIVITY THROUGH CONSTRUCTING READING LOGS PROJECT IN EFL CLASS

This research aims at knowing the result of students’ extensive reading (ER) activities that is described on reading logs project carried out by English Department students of STKIP PGRI Banjarmasin. Besides that, this research also aims at knowing the students’ attitude towards the ER activity by gaining their personal views on the benefits and difficulties accomplishing the activity. This research took place towards 22 students who were assigned to do ER activity outside the class time. The data were collected through the documentation of their reading logs project and the questionnaire. The reading log project consisted of six elements that were reported by students individually presenting the summary of their ER activities during 16 weeks while the questionnaire gained information further on clarifying the benefits and the difficulties of doing the activity. The result of documentation students’ reading logs project showed that the students were comfortable having freedom to choose reading material based on determined genres and its sources, stating specific reason on choosing reading material, and reflecting what has been discovered while reading. Furthermore, the result of questionnaire showed that students have benefits and difficulties in promoting ER activity through constructing reading log project. Since they were given freedom on this activity, 100% of them stated that ER activity were not easy due to limitation of their free time during the large amount of other courses assignment. This research concluded that promoting ER to build students’ reading habit and reading culture should be developed continually