Reviewerly/exHarmony huggingface dataset:
Registrar Information System through SMS

The Registrar Information System through SMS is design and develop a computer-based system that is able to provide a real-time information through SMS to students regarding of their academic records. It has a two-way interactive text messaging functionality in a Registrar’s office of Northern Iloilo Polytechnic State College Main Campus, Estancia, Iloilo. The architectural design used in this system is two-tier architecture. The developed system employed a descriptive and developmental research design. Respondents of the study were the 354 students enrolled officially in School Year 2016-2017 using a standard questionnaire International Standard Organization / International Electrotechnical Commission 25010. The Rapid Application Development Model was used in the Software Development Life Cycle. MySQL for the database, vb.net language and Windows operating system development environment. The usability of the feature of the developed system is Very Good in terms of delivering important academic information to every student. The performance of the developed system is fully functional when it comes to all the processes such as enrolling, encoding the grades, reliable and efficient to the students in sending/ receiving academic information provided to clienteles.
Embedded Descriptor Generation in Faster R-CNN for Multi-Object Tracking

With the rapid growth of computer usage to extract the required knowledge from a huge amount of information, such as a video file, significant attention has been brought towards multi-object detection and tracking.Artificial Neural Networks (ANNs) have shown outstanding performance in multi-object detection, especially the Faster R-CNN network.In this study, a new method is proposed for multi-object tracking based on descriptors generated by a neural network that is embedded in the Faster R-CNN.This embedding allows the proposed method to directly output a descriptor for each object detected by the Faster R-CNN, based on the features detected by the Faster R-CNN to detect the object.The use of these features allows the proposed method to output accurate values rapidly, as these features are already computed for the detection and have been able to provide outstanding performance in the detection stage.The descriptors that are collected from the proposed method are then clustered into a number of clusters equal to the number of objects detected in the first frame of the video.Then, for further frames, the number of clusters is increased until the distance between the centroid of the newly created cluster and the nearest centroid is less than the average distance among the centroids.Newly added clusters are considered for new objects, whereas older ones are kept in case the object reappears in the video.The proposed method is evaluated using the UA-DETRAC (University at Albany Detection and Tracking) dataset and has been able to achieve 64.8% MOTA and 83.6% MOTP, with a processing speed of 127.3 frames per second.
Greedy algorithms for image approximation from scattered Radon data

Abstract Positive definite kernels are powerful tools for multivariate approximation from scattered data. This contribution discusses kernel‐based image approximation from scattered Radon data. To this end, we use weighted kernels for the reconstruction. Moreover, we propose greedy algorithms, which are used to adaptively select suitable approximation spaces. This reduces the complexity of the resulting image reconstruction method and, moreover, it improves the numerical stability quite significantly.
Representation of Self-Concept in the Collection of Children's Stories from Bobo Magazine

As construction of thought, self-concept will continue to grow and develop following the life experiences, one of which can come from stories. Therefore, this study aims to uncover and describe indicators of self-concept from children's stories. The data was obtained based on ten children's stories from the online version of Bobo magazine published in 2019-2020. This research used the content analysis method with categorization and tabulation until inference was found. The results revealed that Bobo magazine had implied self-concepts in the published stories. Among them, such as self-identity related to the labels attached by other characters as well as the character's desire to be what kind of self; personal behavior related to the views of other characters and figures in viewing their behavior; and self-judgment related to the acceptance or rejection of the character's behavior. Then, the physical self-concept associated with gender and character skills; moral self-concept related to the character's ability to control his behavior; personal self-concept related to good relations between characters; family self-concept related to the character's relationship with his family members; and social self-concept related to the character's relationship with his peers. These findings appear to confirm the representation of self-concepts in Indonesian children's short stories.
34. Apps and Their Affordances for Data Investigations

Exploring app-platform relations for data investigations.
Rancang Bangun Sistem Informasi Geografis Untuk Pemetaan Lokasi Tempat Ibadah Di Kota Mataram Menggunakan Metode Extreme Programming

A house of worship is a place where religious people meet for the teachings of their respective religions or beliefs. Knowing the information on the location of places of worship is very important to fulfill worship obligations. In the city of Mataram, finding places of worship is still quite difficult because they cannot walk / walk around them. In terms of the Ministry of Trade, there is still no data management system for places of worship, currently data management for places of worship is still carried out using Ms. Excel which makes data collection ineffective and takes a long time to search for existing data, information media and mapping. there are no places of worship in the city of Mataram either. In this Final Project research, a Geographical Information System for Mapping the Location of Places of Worship in the City of Mataram was designed and built to provide information and layouts regarding places of worship in the city of Mataram because when searching for places of worship meant a more important geographical location was needed. With this system that has been created, it can provide benefits for the general public in viewing information and locations of places of worship in Mataram City, as evidenced by the results of the questionnaire given which can be seen in Table 4.25 showing that 40.33% strongly agree, 47.85 % agree, and 11.83% quite agree. And from the side of the Ministry of Trade it can also make it easier to collect data from systems that make management more effective and efficient, it can be proven through the results of the questionnaire in Table 4:24 showing that 66.67% strongly agree, 25% agree, and 8.33% are quite related with easy access to the application, the display is easy to understand, the application runs well, helping the Ministry of Religion in the organization of existing places of worship data. In this final project research uses the Extreme Programming method in the system development process, because it is suitable because one of the XP itself involves the client during the system development process, while in the case of this Final Project research, the Ministry of Religion of NTB as a client is directly involved in the system development process so that Minimizing errors in the system and in accordance with client needs, it can be proven in the results of the black box testing that has been carried out in Table 4:23 showing that all functions work well on the system and are accepted so that it can be said that the system created is running according to client needs.
Uncertainty Handling in Genetic Risk Assessment and Counseling

In this paper, we consider genetic risk assessment and genetic counseling for breast cancer from the point of view of reliable uncertainty handling. In medical practice, there exist fairly accurate numerical tools predicting breast cancer (or gene mutation) probability based on such factors as the family history of a patient. However, they are too complex to be applied in normal doctors&amp;rsquo; offices, so that several simplified, questionnaire-type support tools appeared. This process is highly affected by uncertainty. At the same time, reliability of test interpretations and counseling conclusions is especially important since they have direct influence on humans and their decisions. We show how expert opinions on mutation probabilities can be combined using the Dempster-Shafer theory. Based on multi-criteria binary decision trees and interval analysis, we combine the referral screening tool designed to determine patients at risk of breast cancer (and recommend genetic counseling or testing for them) with three further risk assessment tools available for this purpose. A patient&amp;rsquo;s confidence in the outcome of a genetic counseling session can be heightened by the proposed method since it combines different sources to provide score ranges leading to more information. Finally, based on this approach, a decision tree for assigning a risk category is proposed which enhances the existing methodology. The great impact of epistemic uncertainty is reflected through large overlapping intervals for the risk classes.
A Digital Communication Platform for Inter-Agency Collaboration to Manage High-Impact Domestic Abuse

Interagency cooperation is a necessary response to domestic abuse to care best for victim-survivors. However, for many reasons especially pertaining data security, digital solutions to support such action remain scarce. This chapter explains what needs to be considered when installing such a tool into a network of front-line responders' activity by pointing to the advantages of digital communication platforms to manage high impact domestic abuse and summarising what IMPRODOVA researchers' expertise presented regarding the status quo of exchange of information in domestic abuse cases. Afterwards, criteria are defined that need to be fulfilled by an ICT tool set up for the management of domestic abuse by professional front-line responders. Moreover, criteria to be fulfilled by the users of the ICT tool set up for the management of domestic abuse by professional front-line responders are discussed. Finally, the stashcat® app is presented as a suitable tool meeting the before defined criteria to a great extent. This is also attested by the evaluation of the stashcat® app during its piloting by a Slovenian network of front-line responders. In sum, this chapter shows that digital solutions can assist professionals to communicate quick and effectively when supporting victim-survivors of domestic abuse.
Fast Global Minimization of the Chan–Vese Model for Image Segmentation Problem

The segmentation of weak boundary is still a difficult problem, especially sensitive to noise, which leads to the failure of segmentation. Based on the previous works, by adding the boundary indicator function with <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <msub> <mrow> <mi>L</mi> </mrow> <mrow> <mn>2,1</mn> </mrow> </msub> </math> norm, a new convergent variational model is proposed. A novel strategy for the weak boundary image is presented. The existence of the minimizer for our model is given, by using the alternating direction method of multipliers (ADMMs) to solve the model. The experiments show that our new method is robust in segmentation of objects in a range of images with noise, low contrast, and direction.
Android Based Tire Patch Search

The number of motorized vehicles continues to increase, this will be directly proportional to the number of people who experience motorcycle damage when driving on the highway, such as leaking tires or burst tires. For motorists who do not know the surrounding area when a motorcycle tire is damaged, of course it will be difficult to find the nearest tire patch. In this study, an Android application will be developed to map and find the location of motorcycle tire patches in Bukit Raya District. This application will provide location-based services to users. With this application, users will get information in the form of a map showing the location of the nearest tire patch. Based on the test results, the tire patch location mapping application that was built is able to display the locations of the tire patches along with information on the travel route from the user's location to the nearest selected tire patch location. This application was developed on the Android operating system because Android provides an open platform for developers to create their own applications and Android is one of the operating systems that are widely used by smartphones that are growing rapidly now. This application is expected to help users who want to find the location of the tire patch along with information from the tire patch and the closest route to the tire patch location so that it is more efficient in terms of time
The Competence Approach as a Methodological Tool for Shaping the Professional Competence of Future Music Teachers

The article considers the role, importance and features of the competence approach as strong trend in the development of art education in the context of global integration and globalisation trends. The key properties of professional competency of a future art teacher are characterised; the significance of the system of thinking actions and operations as the basic foundation for its development is established. The specificity of methodological support for the teaching of art disciplines, aimed at using the maximum number of mental operations, is described. The conducted research allowed generalising the definition of professional competency of future art teachers as an integrated qualitative characteristic of an art teacher, which is a complex of knowledge, abilities and skills acquired as a result of professional art training, self￾study, own teaching and performing experience in the areas of teaching art disciplines, art history, pedagogy, psychology, etc., and pedagogical and artistic communication, the ability to operate freely with certain knowledge and skills and to apply them effectively in the course of practical professional activities.
Kinematic and linguistic interpretation of human motion via RF signal analysis

Chapter Contents: 14.1 Introduction 14.2 RF Sensor phenomenology and data representations 14.2.1 2D representations 14.2.2 3D representations 14.3 Deep learning for human activity recognition 14.3.1 Unsupervised pre-training versus transfer learning 14.3.2 Synthetic RF data generation with motion capture 14.3.3 Kinematic considerations in adversarial learning 14.4 Linguistic analysis of radar data for ASL recognition 14.4.1 Physical parameters of ASL signal 14.4.2 RF measurements of ASL 14.4.3 Native vs. imitation signing 14.4.4 Fractal complexity for discrimination of ASL from daily activities 14.5 ASL Recognition using RF μD signatures 14.5.1 Handcrafted features 14.5.2 Feature selection and classification results 14.6 Conclusion Acknowledgments References
Characteristics of the Pedagogical Model for Forming Social Responsibility in Students by Means of Project Technologies

The article describes the essence and components of the pedagogical model for forming social responsibility in students by means of project technologies. Determined the structural components of this pedagogical model: the purpose, tasks, principles, pedagogical conditions, criterion principles (criteria, indicators and levels of formation), technological support of project activity, result. Characterized the principles of forming social responsibility of students: personal orientation of educational process, dialogicity (conventionalized), integrativeness, nonlinearity, on becoming a person. Defined the criteria of forming social responsibility of students and the corresponding indicators-indicators of their display. Presented four levels (insufficient, satisfactory, sufficient and optimal) for forming certain indicators. The leading means of realization of the pedagogical model for forming social responsibility of students is defined by design technologies, their characteristics in the context of the concept of projective education. Project technologies are defined as a set of forms, methods, means of educational influence in order to implement forecasting, resource development and methodological support of project activities.
The use of polar harmonic transformations in the development of methods for robust image watermarking

The need for developing a robust image watermarking method remains relevant. This is caused by the fact that existing watermarking methods are either not robust enough to various types of attacks on images, or computationally complex, or they are subject to the so-called numerical instability, i.e., accumulation of errors. This paper proposes the use of polar harmonic transformations as the basis of the method for image watermarking, including algorithms for embedding and extracting a watermark, and methods for multiple marking are proposed: multiple embedding and extracting by majority rule, multiple embedding and extracting according to the rule of greater similarity, embedding and extracting fragments of a watermark. The performance characteristics, such as robustness to various attacks, embedding and extraction time for a fixed area size, and maximum size of watermark, are measured using attacks implemented in StirMark BenchMark 4. The proposed method has been proven to be robust to many types of geometric attacks, JPEG-compression and other attacks, to have a high embedding and extraction rate, and to be numerically stable. The proposed method can be used to watermark JPEG images for copyright protection.
Manajemen Pelatihan Permainan Tradisional Edukatif Berbasis Potensi Lokal Dalam Meningkatkan Pengetahuan Dan Keterampilan Orang Tua Anak Usia Dini

The results of this study generally concluded (1) study participants do not yet have advanced literacy skills that are meaningful to the needs of life, because the materials learning materials and learning activities do not fit the needs of local tutors, (2) development of literacy learning model based on local potential of agriculture can significantly empower Indigenous Communities. Local potential is developed into a learning module literacy, literacy tutor training, learning implementation, and evaluation of results provided by the potential skills of local content, (3) implementation of the development of functional literacy learning model based on local potential of agriculture is packaged in three stages, namely preparation, implementation, and evaluation (4) the effectiveness of the development model of literacy learning in study groups to apply model-based functional literacy development of local potential is better when compared with the study group who did not apply the intervention model development study. The effectiveness of model development, learning development and empowerment of remote indigenous communities in literacy programs, with one another have a significant positive relationship. The effectiveness of model development and learning development partially or simultaneously both significant positive effect on the empowerment of remote indigenous communities in the functional literacy program.
Cloud

<fig orientation="portrait" position="float" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <graphic orientation="portrait" position="float" xlink:href="devli-3109715.tif"/> </fig> The combination of Cloud and COVID-19 continues to have a massive impact on workflows and working practices around the world. Back in 2018, Cloud was becoming popular for distribution, file centralization, offline processes, and limited realtime collaboration. The impacts of lockdown have been vast. We see many live workflows where “backhauling feeds” are no longer to a local, on-premise data center, but to a cloud location where instances of user’s favorite tools are running in virtual machines and creating results that are quality-controlled via proxies and ready to distribute globally at speeds that were previously difficult to achieve.
Hate Speech Against Disabled Persons: A Forensic Analysis of Legal Framework in India and Beyond

Hate Speech is a social menace. Disability hate speech is nothing but hatred perpetuated against any disabled person. It is prevalent offline as well as on the virtual platform. Despite the legal provisions against hate speech, instances of hate speech are increasing rapidly. There are many developed countries such as the US, UK or Australia that have specialized laws and machinery at place to regulate speech towards the persons with disabilities. However, India lags behind in framing policies or enacting laws, be it protecting the interest of disabled persons against hate speech or hate crime perpetuated against them. Amidst pandemic, discrimination and untold miseries faced by disabled individuals mount day by day, in real world as well as virtual world. In these challenging times, there is a need to check as to what are the laws in India that protect people with disabilities against hate speech. There is a need to analyze in a forensic perspective the remedies available for the victimized individuals with disability. This research paper further put forth various suggestions and means to improve protection of such persons with disabilities.
On Formalizing Logical Modalities

This paper is in the scope of the philosophy of modal logic; more precisely, it concerns the semantics of modal logic, when the modal elements are interpreted as logical modalities. Most authors have thought that the logic for logical modality—that is, the one to be used to formalize the notion of logical truth (and other related notions)—is to be found among logical systems in which modalities are allowed to be iterated. This has raised the problem of the adequacy, to that formalization purpose, of some modal schemes, such as S4 and S5 . It has been argued that the acceptance of S5 leads to non-normal modal systems, in which the uniform substitution rule fails. The thesis supported in this paper is that such a failure is rather to be attributed to what will be called “Condition of internalization.” If this is correct, there seems to be no normal modal logic system capable of formalizing logical modality, even when S5 is rejected in favor of a weaker system such as S4, as recently proposed by McKeon.
Incorporating the Relation into the Language?

In this paper we discuss whether the relation between formulas in the relating model can be directly introduced into the language of relating logic, and present some stances on that problem. Other questions in the vicinity, such as what kind of functor would be the incorporated relation, or whether the direct incorporation of the relation into the language of relating logic is really needed, will also be addressed.