Reviewerly/exHarmony huggingface dataset:
The Design of Augmented Reality-Based Synectic Model Device in Writing Short Stories

A Short story is a miniature of people's experience while the characters, plot, and setting aim to record imaginative events (Stanton, 2017). When making up story ideas, students have problems developing story facts such as plot, characters, and settings (Sayuti, 2006). This barrier emerged conflicts that were unevenly distributed across all stages of the course. The direct characterization employed in storytelling made the short stories less varied. The physical and setting depicted did not work out optimally. The advantage of using the synectic model is that it can allow students to look for and makeup concepts to describe objects through an analogy process. Augmented Reality allows users to interact with an object's interface and see it in a well-designed and attractive 3D format, so it can solve student difficulties in developing story ideas in writing short stories.
LibGuides: Visual Communications: Writing & Citing

A guide to finding library and research resources on Visual Communications at Cazenovia College.
Scalable Contrast Pattern Mining over Data Streams

Incremental contrast pattern mining (CPM) is an important task in various fields such as network traffic analysis, medical diagnosis, and customer behavior analysis. Due to increases in the speed and dimension of data streams, a major challenge for CPM is to deal with the huge number of generated candidate patterns. While there are some works on incremental CPM, their approaches are not scalable in dense and high dimensional data streams, and the problem of CPM over an evolving dataset is an open challenge. In this work we focus on extracting the most specific set of contrast patterns (CPs) to discover significant changes between two data streams. We devise a novel algorithm to extract CPs using previously mined patterns instead of generating all patterns in each window from scratch. Our experimental results on a wide variety of datasets demonstrate the advantages of our approach over the state of the art in terms of efficiency.
LESC: Superpixel cut‐based local expansion for accurate stereo matching

The rapid estimation of the accurate disparity between pixels is the goal of stereo matching. However, it is very difficult for the 3D labels-based methods due to huge search space of 3D labels, especially for high-resolution images. In this paper, a novel superpixel cut-based method is proposed, in an attempt to get the accurate disparity map efficiently, including the multi-layer superpixel optimization and iteractive local α-expansion in parallel. As for the multi-layer superpixel optimization, feature point optimization is designed to get accurate candidate labels that are set for most pixels using non-local cost aggregation strategy and update per-pixel labels of the corresponding superpixels from the candidate label sets on the small-size superpixel layer, and then update the middle to large-size superpixel layers progressively using non-local cost aggregation strategy. In order to provide more prior information to identify weak texture and textureless regions in non-local cost aggregation, the weight combination of “intensity + gradient + binary image” is proposed for constructing an optimal minimum spanning tree (MST) to calculate the aggregated matching cost and obtain the labels of minimum aggregated matching cost. Moreover, the local patch surrounding the corresponding superpixels is designed to accelerate superpixel optimization in parallel, and a neighborhood structure is presented to optimize the algorithm in this study, including superpixel neighborhood and patch neighborhood. As for the iteractive local α-expansion, three layers of patch structure corresponding to the superpixel neighborhood structure is proposed for optimizing the algorithm in this study. The experimental results show that higher accuracy could be achieved via the method in this study compared with some known state-of-the-art stereo methods on KITTI 2015 and Middlebury benchmark V3, which are the standard benchmarks for testing the stereo matching methods.
Informacioni sistemi u obrazovanju: stavovi nastavnika u vezi upotrebe elektronskog dnevnika

Until few years ago, all educational process documentation in Serbian schools was kept exclusively through paper class book. In accordance with European standards and with the implicit role of new ICT and Information Systems and due to the perceived short comings, there was a need for a different work recording. In school year 2017/2018, the electronic grade book came to life in 60 educational institutions in Serbia as a pilot project of the Ministry of Education, Science and Technological Development. Today, its use is mandatory in all the schools in Serbia. This paper deals with the analysis of the advantages and dis advantages of an electronic grade book through the examination of attitudes and impressions, and the general satisfaction of its users. In this study, users or respondents were represented by teachers of elementary schools in Jagodina and its surroundings.
Synergy between Games and Technology in Preschool Environmental Education

The paper presents the results of a research focused on the synergetic effects of game-technology collaboration in preschool environmental education. The parameters of an author’s multimedia game model are presented, with the model being promoted as an opportunity to innovate ecological-educational interaction in kindergartens. Trends and perspectives for educational innovations related to the formation of natural science competencies and competencies for sustainable development in an e-environment are presented.
Proposal for a continuous wave laser with linewidth well below the standard quantum limit.

Due to their high coherence, a laser is a ubiquitous tool in science. We show that by engineering the coupling between the gain medium and the laser cavity as well as the laser cavity and the output port, it is possible to eliminate most of the noise due to photons entering as well as leaving the laser cavity. Hence, it is possible to reduce the laser linewidth by a factor equal to the number of photons in the laser cavity below the standard quantum limit. We design and theoretically analyze a superconducting circuit that uses Josephson junctions, capacitors and inductors to implement a microwave laser, including the low-noise couplers that allow the design to surpass the standard quantum limit. Our proposal relies on the elements of superconducting quantum information, and thus is an example of how quantum engineering techniques can inspire us to re-imagine the limits of conventional quantum systems.
Old Texts, New Networks: HathiTrust and the Future of Shared Print

The advent of mass digitization, the creation of HathiTrust, and the development of shared print programs, including HathiTrust’s Shared Print Program, broaden the reach of the research library, and deepens its capacity to support research, teaching, and learning through new services and new ways to think about local collections. This chapter from Transforming Print: Collection Development and Management for Our Connected Future discusses the evolution of shared print, the history of HathiTrust, their shared print program, and future directions around shared print and digitization.
Using E-Learning Tools to Enhance Students- Mathematicians’ Competences in the Context of International Academic Mobility Programmes

Introduction. The article is concerned with the use of special electronic teaching tools to increase the  students’ understanding of the subject and adaptation to the professional language environment of the host country, taking into account the mathematical education. Our purpose is to develop a methodology of multilingual support of mathematical courses in the host country to improve the effectiveness of students’academic mobility using e-learning tools.Materials and Methods. The basis of the research was methods of system analysis and descriptive and analytical methods, primarily experimental. To identify advantages of the proposed approach the methods of empirical research were used (observation and comparison). To prove the efficiency, classical methods of measurement were used.Results. We analyzed the existing electronic learning environments and defined an e-learning environment Math-Bridge that allows for creating mathematical courses in several languages in parallel. For example, the e-training course “Optimization Methods” was developed in three languages for training Russian-speaking Master programme students. The comparative analysis of the target and control student’s groups showed that 100 % of the students in the target group achieved an excellent level of mastering competencies, while the control group has only 75 %. For the control group, the degree of motivation to mathematical studying has not virtually changed (increase by 0,86 %). In the target group the level of student interest to the mathematics increased from 0,9 % to 8,9 % (mean 2.21 %).Discussion and Conclusion. The results described in the article will be useful for the staff of international departments, administrations and deans, as well as teachers of those universities that participate in the students’ international academic mobility programmes.
BAKU KELE: SOCIAL CAPITAL AND DISASTER MITIGATION FOR NOMADS STUDENTS OF THE COVID-19 PANDEMIC CRISIS IN AMBON CITY

This study refers to how the Baku Kele culture can function as a form of social capital and disaster mitigation among students when facing difficulties during the Covid 19 pandemic crisis. The research method used is descriptive qualitative with a case study approach. The informants in this study amounted to 18 people who were nomads students from several campuses, both public and private in Ambon City. The data collection techniques used in this study were observations and interviews (indept interviews) which were conducted for 1 month from July 8-July 31, 2021. The results showed that the meaning of Baku Kele for nomads students in Ambon City refers more to difficult conditions or life crises experienced together, giving rise to feelings of empathy and compassion among nomads students to share, support each other (hand in hand) to go through life crises together and prioritize common interests over interests personal. The application of social values contained in the Baku Kele culture in the form of togetherness and unity values, sincerity values, and brotherhood values. The efforts to mitigate the spread of Covid 19 are carried out by students by jointly cleaning the environment around their homes and boarding houses, especially if they are on vacation. Along with technological advances digital technology that is very much attracting the attention of today's young generation could be that the Baku Kele cultural wisdom began to be eroded and no longer practiced so that over time it would disappear with the disappearance of social sensitivity in the community. For this reason, parents, educational institutions, and community leaders should continue to internalize the values of local cultural education to the generations of our nation so that they grow into individuals of character and noble character. Keywords: Baku Kele; Social Capital; Nomads Students; Covid 19 Disaster Mitigation.
Discrete Acoustic Space for an Efficient Sampling in Neural Text-To-Speech

We present a Split Vector Quantized Variational Autoencoder (SVQ-VAE) architecture using a split vector quantizer for NTTS, as an enhancement to the well-known Variational Autoencoder (VAE) and Vector Quantized Variational Autoencoder (VQ-VAE) architectures. Compared to these previous architectures, our proposed model retains the benefits of using an utterance-level bottleneck, while keeping significant representation power and a discretized latent space small enough for efficient prediction from text. We train the model on recordings in the expressive task-oriented dialogues domain and show that SVQ-VAE achieves a statistically significant improvement in naturalness over the VAE and VQ-VAE models. Furthermore, we demonstrate that the SVQ-VAE latent acoustic space is predictable from text, reducing the gap between the standard constant vector synthesis and vocoded recordings by 32%.
Comparison and study of Pedestrian Tracking using Deep SORT and state of the art detectors

Object Tracking is becoming very popular these days in the computer vision field. It is the process of tracking an object across a sequence of frames. Deep Sort is a very fast and powerful tracking algorithm. It has a practical way of approaching multiple object tracking problems. It uses the appearance information to track objects through occlusions and thereby reducing the identity switches. Performance evaluation and comparison have been performed on pedestrian tracking using the Deep Sort algorithm in conjunction with the various state-of-the-art object detectors: YOLO, SSD and FasterRCNN. Criteria for Evaluation, datasets used for evaluation, along with the quantitative results have been described and discussed in this work.
Agency as a XXI Century Skill. Opportunities for the Development of Agency Within the Framework of Traditional French Education in Humanities

The most important challenge of education in the modern era is the need to develop thе XXIst century skills among students. One of the main XXI skills is the ability to think critically, which implies the formation of a student's agency. The development of agency and critical thinking, is possible with the help of a set of academic exercises, which, for example, are present in a wide range in French academic education in humanities. We are talking, in particular, about essays (dissertation), text commentary (commentaire), creative assignments on a given topic, as well as essays, traditional for French education in humanities. These types of work are aimed not at the mechanical memorization of dates and facts, but at the development of building their own argumentation within the framework of the rules of critical thinking, the philosophical and theoretical basis of which was laid by Descartes.
Implementation Of Combination Of Multi-Factor Algorithm RSA And Cipher 4x4 In Hybrid Cryptography Scheme For Security Text Messages On Instant Messaging Aplication

In this Internet era, people have started to abandon the SMS service to send short messages and are now beginning to turn to more practical instant messaging. Instant messages that use the internet network as a medium of interconnection, are certainly very vulnerable to wiretapping so messages need to be secured before being sent. Therefore, this study provides a solution by applying a cryptographic algorithm in hybrid cryptography scheme Hill Cipher 4x4 Symmetry Algorithm and RSA Multi-Factor Asymmetry Algorithm to secure the message to be sent. Multi-Factor RSA algorithm uses prime numbers to generate keys, so a prime number checking algorithm such as the Miller-Rabin algorithm is required. The Hill Cipher algorithm encrypts a text message and generates a ciphertext and Multi-Factor RSA algorithm encrypts a previously used Hill Cipher key and generates a cipher key. Then ciphertext and cipherkey are sent to Google's servers to input into the Firebase database. The results showed that the process of encryption and decryption of text messages is directly proportional to the length of the sent message and recorded the total time required for encryption and decryption of text messages over 3000 characters is 1.034 seconds.
Requirement of Cloud Environment for Large Information Handling

The modern day advancement is increasingly digitizing our lives which have led to a rapid growth of data. Such multidimensional datasets are precious due to the potential of unearthing new knowledge and developing decision-making insights from them. Analyzing this huge amount of data from multiple sources can help organizations to plan for the future and anticipate changing market trends and customer requirements. While the Hadoop framework is a popular platform for processing larger datasets, there are a number of other computing infrastructures, available to use in various application domains. The primary focus of the study is how to classify major big data resource management systems in the context of cloud computing environment. We identify some key features which characterize big data frameworks as well as their associated challenges and issues. We use various evaluation metrics from different aspects to identify usage scenarios of these platforms. The study came up with some interesting findings which are in contradiction with the available literature on the Internet.
Modelling infectious disease dynamics with probabilistic logic programming

Motivated by the SARS-CoV-2 pandemic, we implemented a stochastic, network-based model of infectious disease transmission in the probabilistic logic programming language ProbLog. In this contribution, we show how probabilistic logic programming lends itself to very concise, transparent and adaptable modelling of infectious disease dynamics. We illustrate how some key features can contribute to succinct and expressive representation of epidemiological models. Our work makes full use of the compact relational representation, the support for stratified negation and flexible probabilities evaluated at run time, which are supported by the ProbLog 2 engine. © 2021 CEUR-WS. All rights reserved.
Application of Endoscopic Holography

An endoscopic is an electronic device which does not involve any kind of surgical procedure. It is a device that involves light and a camera attached to it to visualize digestive track on a monitor. However, an endoscopic holographic is a procedure which is a combination of an endoscopy and holography, this technique display is contingent on a lively holographic approach. This holographic technique is utilized in visualizing an internal cavity of the body. In manipulation of an image the proficiency to capture pictures of an internal cavity with vigorous focal-distance, 3-D and high perseverance image will enhance the exposure of cavity. By recording the image of the cavity involving the holographic feature increase resolution to visualize and review meticulously. In this paper an endoscopic is premeditated using an optical fiber for elucidation wherein holographic is formulated at the outer end of the endoscope. With this technique the visualization of each individual cell increases its resolution and magnification. Particular pigments and color is utilized to enhance the picture of cavity captured by the holographic camera. The proficiency to accomplish evolution in holographic utilizing the phenomenon of an interference over optical fiber. In future this technique prompts more improvement in the medical fields.
With a Little Help from My Friends: Constructing Practical Anonymous Credentials.

Anonymous credentials (ACs) are a powerful cryptographic tool for the secure use of digital services, when simultaneously aiming for strong privacy guarantees of users combined with strong authentication guarantees for providers of services. They allow users to selectively prove possession of attributes encoded in a credential without revealing any other meaningful information about themselves. While there is a significant body of research on AC systems, modern use-cases of ACs such as mobile applications come with various requirements not sufficiently considered so far. These include preventing the sharing of credentials and coping with resource constraints of the platforms (e.g., smart cards such as SIM cards in smartphones). Such aspects are typically out of scope of AC constructions, and, thus AC systems that can be considered entirely practical have been elusive so far. In this paper we address this problem by introducing and formalizing the notion of core/helper anonymous credentials (CHAC). The model considers a constrained core device (e.g., a SIM card) and a powerful helper device (e.g., a smartphone). The key idea is that the core device performs operations that do not depend on the size of the credential or the number of attributes, but at the same time the helper device is unable to use the credential without its help. We present a provably secure generic construction of CHACs using a combination of signatures with flexible public keys (SFPK) and the novel notion of aggregatable attribute-based equivalence class signatures (AAEQ) along with a concrete instantiation. The key characteristics of our scheme are that the size of showing tokens is independent of the number of attributes in the credential(s) and that the core device only needs to compute a single elliptic curve scalar multiplication, regardless of the number of attributes. We confirm the practical efficiency of our CHACs with an implementation of our scheme on a Multos smart card as the core and an Android smartphone as the helper device. A credential showing requires less than 500 ms on the smart card and around 200 ms on the smartphone (even for a credential with 1000 attributes).
MarS-FL: A Market Share-based Decision Support Framework for Participation in Federated Learning

Federated learning (FL) enables multiple participants (PTs) to build an aggregate and more powerful learning model without sharing data, thus maintaining data privacy and security. Among the key application scenarios is a competitive market where market shares represent PTs' competitiveness. An understanding of the role of FL in evolving market shares plays a key role in advancing the adoption of FL by PTs. In terms of modeling, we adapt a general economic model to the FL context and introduce two notions of $\delta$-stable market and friendliness to measure the viability of FL and the market acceptability to FL. Further, we address related decision-making issues with FL designer and PTs. First, we characterize the process by which each PT participates in FL as a non-cooperative game and prove its dominant strategy. Second, as an FL designer, the final model performance improvement of each PT should be bounded, which relates to the market conditions of a particular FL application scenario; we give a sufficient and necessary condition $Q$ to maintain the market $\delta$-stability and quantify the friendliness $\kappa$. The condition $Q$ gives a specific requirement while an FL designer allocates performance improvements among PTs. In a typical case of oligopoly, closed-form expressions of $Q$ and $\kappa$ are given. Finally, numerical results are given to show the viability of FL in a wide range of market conditions. Our results help identify optimal PT strategies, the viable operational space of an FL designer, and the market conditions under which FL is especially beneficial.
Augmented Reality in Online Teacher Traning for Digital Competence

The article presents an approach applied in the online training of pre-service teachers to acquire digital competence. The content of the concept of ‘digital competence’ in its sustainable and variable component is clarified. The understanding of ‘augmented reality’ to e-learning objects is presented. Two forms of ‘augmented reality’ have been proposed to visualize video information to a clarified concept. The first one is presented via a QR code for quick access and applicable for mobile learning. The other is provided by icons and is applicable to e-learning with a computer. It is believed that ‘augmented reality’ can differentiate students’ online learning according to the field-dependent and field-independent cognitive style and their preferences on the use of different digital learning devices.