Reviewerly/exHarmony huggingface dataset:
Formation Of Professional Competences By Modern Informatization

The aim of this study is to present the process of forming the professional competence of bachelors in the field of “Technology of artistic processing of materials” in the system “study group – college – university” by informatization. In accordance with this purpose, the following tasks were accomplished: we have analyzed the existing problems; the educational system “study group – college – university” was created; and also we have implemented a system of professional selection. The methodology of forming professional competencies by informatization was introduced at all stages of the given system. The following methods are used: analysis, modeling, and actualization. Modern scientists repeatedly outlined the importance of the questions about the need for continuous improvement in the field of information technologies for the purpose of targeting, selecting and implementing funds in the professional field, expanding the information base for providing educational institutions, and the need for the teaching staff mobility in advancing their educational level in the field of information and communication technologies. Thus, there is a need to create a unified system of primary professional selection, secondary vocational education and higher education in the major «Technology of artistic processing of materials». Primary professional selection is necessary to avoid situations of frustration with the profession, which is realized with the help of modern informatization. The indicator of the methodology effectiveness is graduating from the university in the educational program of the major «Technology of artistic processing of materials», and the graduate employability.
Automatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach

In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is introduced. The proposed system works by integrating structured knowledge in every core component. First, the relevant features, semantic structures and information-content are extracted from messages. Since little information can often be placed in a message, a content enrichment module is introduced to identify information structures that can improve the representation of message. The extracted features are represented by semantic network. Then, a hybrid and multi-layered similarity module identifies the commonalities and differences of the features, semantics and information-content in messages. At the end, #tags are recommended to users based on #tags in contextually similar messages. The system is evaluated on Tweets2011 dataset. The results suggests that the proposed method can recommend suitable #tags in negligible operational time and when little content is available.
3D Face Analysis vs Applications: Studies and Perspectives

In the present scenario biometry is becoming a very important issue.Starting from the marketing domain where business man are trying to capture people emotions when they buy a product in the supermarket, till arriving to border security, or event security, where companies are trying to propose automatic solutions able to identify critical situations, and be sure that the identification of the person is reliable, also in presence of camouflages, the involvement of biometry is growing up very quickly, involving finger prints, iris recognition, voice recognition but especially human face analysis.In this specific domain many improvements have been done, due to the fact that face has many distinctive issues, and interesting results have been obtained, especially working with 3D models, rather than simple 2D images more fragile for the significant influence due to the working conditions, that are able to provide more reliable results and solve problems connected also with people age.Starting from these challenges, from the more easy availability of low cost 3D sensors, also located on commercial mobile devices, and from the experience acquired in the Politecnico di Torino 3D Lab (www.3dlab.polito.it),this papers wants to presents a review of the main outcomes coming from 3D face morphometric applications, providing a systematic synthesis of the different available methods and approaches in order to guide potential users in simply identifying the most suitable solution and technology in relation to the specific application and working conditions, providing some first issues on strengths and weaknesses.
Sistem Pendaftaran Hotspot Online Berbasis Web Menggunakan Mikrotik API, PHP, MySql Pada SMK Plus Nurul Hakim Kediri

Abstract&#x0D; Now days the use of internet access is a priority for everyone. One of the internet media that is often used today is a hotspot network. Hotspot use at vocational high school (SMK) plus nurul Hakim using Indiehome wifi router. By default the hotspot security on this device uses a single password for all users connected to this hotspot network. This causes the security of the hotspot network is not safe, inefficient time and increases the workload of the Hotspot manager to change password at every change. Based on these problems, research is conducted that aims to create a web-based online hotspot registration system by using the PHP Programming Language, MikroTik PHP Class API, and MySQL Database. The results of this study are expected to be a solution to overcome the problem of hotspot service on vocational high school plus nurul Hakim kediri. If utilizing this hotspot registration system will help users register quickly.&#x0D; Keywords words: system register hotspot, API Mikrotik, PHP, MysQl, Mikrotik.
IT-Based Interactive Teaching of Materials Science

Abstract IT based interactive teaching of Materials ScienceFor the past two years, Dyknow software has been used to teach an interactive sophomore levelmaterials science course at Texas A&M University at Qatar. All students in the classes have a tablet PC,which are connected to the instructor’s classroom computer. The instructor shows PowerPoint slides,which are displayed on the students‘computer with the real time notes of the instructor. The studentsare also able to simultaneously take notes on their tablet PC. The software allows for short quizzes inreal time to check the students’ understanding of the lectures. In addition, the students canconfidentially indicate if they have difficulty to understand the covered subjects and ask questions.While the software requires extra lecture preparation time, lecture topics could be covered in moredetail due to class time saved by providing lecture slides and notes in real time. The software blocksout all other concurrent computer applications to ensure that the students concentrate on the lectures.The preliminary comparison between the final exam performance of the students in courses with orwithout the interactive teaching method indicates that the student performance is slightly improved byusing the Dyknow software based interactive teaching method. However, the available database is notlarge enough to make definite conclusion about the effectiveness of this interactive teaching method.General feedback from the students has been favorable on the described interactive teaching method.Availability of the classroom IT equipment and tablet PC for the students, and class size are the mainlimitations of the discussed interactive teaching method.
Mechanisms For The Development Of The Russian Secondary-Level Vocational Education System

The findings from an analysis of the current condition of Russia’s system of secondary-level vocational education and economic development indicate that right now the nation’s labour market is experiencing an objective, analytically substantiated shortage of skilled manpower. There are three major reasons behind this: (1) most educational programs being outmoded, with academic learning often kept too far from practical training; (2) growth and a shift toward a more innovation-driven economy (mainly, among foreign companies); (3) production-technical and handicraft occupations being regarded as low-end in Russia. The development of Russia’s system of secondary-level vocational education may require thorough upgrades to the nation’s education system based on the implementation and use of the latest potential and mechanisms for development. The findings from the authors’ analysis of the latest research into the issue indicate the availability of some quite solid studies, both by Russian and foreign scholars. The key mechanisms for the development of the system of secondary-level vocational education include the following: incorporating project-based mechanisms into the system; secondary-level vocational education institutions taking part in competition-based and Olympiad movements; expanding international cooperation. The purpose of this paper is to describe these mechanisms in detail and suggest ways they can be implemented in practice in the Russian system of secondary-level vocational education.
iGestSaúde: Application for self-management of symptoms during chemotherapy treatment

Abstract Background The main objective of this project is to develop a mobile application (APP) for monitoring and controlling the management of the therapeutic regime in this group of people, with a view to strengthening communication among patients and health professionals, favoring adherence to therapeutic indications and responding, in a timely manner and in a proactive manner, to the symptoms or complications that may arise associated with the disease, thereby improving the efficacy of the therapy, preventing complications and improving its perception of health and quality of life. In fact, health interventions must transform behavior towards the desired improvement and empowerment of the person, thus facilitating self-management. Its final presentation will be on the form of an APP, which will improve the well-being and quality of life of people with cancer, bringing gains in efficiency and health outcomes, broadening the sense of the adequacy of policies of health. The expected results with the implementation of this APP are: improve and monitor patient adherence to oral and supportive therapies; to prevent, the appearance of complications or symptoms associated with the treatment, through preventive indications of self-care (green alert level); improve patients responses, through self-care uncontrolled complications (yellow alert level); signaling to the patient and health services, uncontrolled symptoms with high severity (red alert level); improve the efficiency of health teams with regard to self-management of the disease and produce and disseminate knowledge in oncology. At this time the project is already at an advanced stage of development. Systematic reviews of the literature were developed to support the interventions included in the APP. The interventions were categorized by the two levels of self-care and were submitted to expert evaluation using the Delphi technique. Trial design Systematic reviews of the literature were developed to support the interventions included in the APP. The interventions were categorized by the two levels of self-care and were submitted to expert evaluation using the Delphi technique. The project has already been tested on an initial sample of 40 patients. Legal entity responsible for the study The authors. Funding Has not received any funding. Disclosure All authors have declared no conflicts of interest.
MENGATASI PENCILAN PADA PEMODELAN REGRESI LINEAR BERGANDA DENGAN METODE REGRESI ROBUST PENAKSIR LMS

Ordinary Least Squares (OLS) is frequent used method for estimating parameters. OLS estimator is not a robust regression procedure for the presence of outliers, so the estimate becomes inappropriate. Least Median of Squares (LMS) is one of a robust estimator for the presence of outliers and has a high breakdown value. LMS estimate parameters by minimizing the median of squared residuals. Least Median of Squares (LMS) The purpose of this study is geting a regression equation that better than the regression equation before using OLS for the data that having outlier. For the first step, checking if there is outlier at data and then searching regression equation with LMS method. In this study used data stackloss and from estimation parameter of this data, LMS estimator showed better results compared to the OLS estimator because the regression equation from LMS method have smaller value of Mean Absolute Percentage Error (MAPE).
An early characterisation of wearing variability on motion signals for wearables.

We explore a new variability observed in motion signals acquired from modern wearables. Wearing variability refers to the variations of the device orientation and placement across wearing events. We collect the accelerometer data on a smartwatch and an earbud and analyse how motion signals change due to the wearing variability. Our analysis shows that the wearing variability can bring an unexpected change to motion signals, not only from different users but also from different wearing sessions of the same user. We also provide empirical ranges of changes in device orientations.
3D Unet-based Kidney and Kidney Tumer Segmentation with Attentive Feature Learning

To study the kidney diseases and kidney tumor from Computed Tomography(CT) imaging data, it is helpful to segment the region of interest through computer aided auto-segmentation tool.In the KiTs 2019 challenge [1], we are provided 3D volumetric CT data to train a model for kidney and kidney tumor segmentation.We introduce an improved deep 3D Unet by enriching the feature representation in CT images using an attention module.We achieve 1.5% improvement in the segmentation accuracy when evaluated on the validation set.
IEEE Access Special Section Editorial: Visual Surveillance and Biometrics: Practices, Challenges, and Possibilities

Visual surveillance is the latest paradigm for social security through machine intelligence. It includes the use of visual data captured by infrared sensors or visible-light cameras mounted in cars, corridors, traffic signals etc. Visual surveillance facilitates the classification of human behavior, crowd activity, and gesture analysis to achieve application-specific objectives.
Phonology-based reading instruction to improve dyslexic students’ early reading ability

Dyslexic students struggle to learn how to read. Yet, few studies reported on how dyslexic students learn to read. In this respect, special education teachers have adopted a myriad of ways to overcome dyslexic students’ reading problems. To respond to this need, the purpose of this study is to examine how phonology-based reading instruction could help dyslexic students improve their early reading abilities. Grounded in a mixed methods research design, four dyslexic students of primary school were recruited to participate in this study. The results of the study showed that the phonology-based reading instruction had a positive impact on improving the dyslexic students’ early reading abilities, particularly in Bahasa Indonesian-medium reading texts. This suggests that phonology-based reading instruction could effectively be implemented if special education teachers could enact phonological instruction as a prerequisite for identifying the students’ early reading ability and phonics instruction as an instructional reinforcement for building students’ early reading repertoire.
Efficient multiplier-less inference of deep autoencoders on wearable healthcare systems.

This paper presents an efficient multiplier-less inference (MLI) approach of deep autoencoders (DAE) for wearable healthcare systems. It employs a novel grouped multiplier block (GMB) module to reduce computational/hardwired complexity of DAE during inference process. First, the fixed weights of DAE are transformed into sum-of-powers-of-two (SOPOT) representations so that multiplications in DAE can be realized as limited adds and shifts only. Further, a GMB is designed to reuse the partial sums in generating the products from the same inputs, which can greatly reduce the adds required. Experimental results show that our proposed MLI method is effective and efficient for wearable healthcare systems to reduce computational/hardwired complexity as well as to offer a faster software implementation.
Data Management across Geographically Distributed Autonomous Systems: Architecture, Implementation, and Performance Evaluation

The issue of highly efficient geographically-distributed autonomous data management is one of the critical obstacles for opening up a big data era. It creates the need for investigating autonomous and distributed data management systems in big data environments. In this paper, a distributed autonomous data management system is put forward, exhibiting the following features. (1) A distributed architecture designed to meet the requirements of autonomous data management by allowing interconnection, intercommunication, and interoperation of multiple sites over the Internet. (2) An autonomous, multi-level, unstructured data storage system to meet high-efficiency storage needs, with reference to the distributed heterogeneous data storage theories. (3) A distributed autonomous data indexing and retrieval system to support metadata search & full-text searching, fast loading, remote access, and unified view. Experimental and application results demonstrate that the proposed system has high potential to reduce access time and improve storage efficiency, while maintaining satisfactory availability and scalability.
Education Monitoring As A Prognostic Basis For Its Strategic Development

The authors provide an analysis of the problem solution for constructing an education reality for the purposes of strategies development based on indicators of education systems monitoring. First of all, it was necessary to form an array of key indicators as a prognostic basis for determining the strategic development of national education systems. To solve this problem, various methods were used: descriptive, comparative, temporal, correlation, prognostic, etc. As an example of the results, a table of composite indices with administrative levels of monitoring and strategic decision making is presented. The development strategy of Global Education for 2030 led to the transformation of national monitoring systems. A model of global education 2030 is also described as an example of the number of functional literacy kinds necessary for a student. The empirical part of the study is presented: a) forecasts of the levels of education based on monitoring of various types; b) categorization of monitoring indicators characterizing schoolteachers. Variable strategic development forecasts consist of indices and rankings used in the global educational space. The authors show the necessity to calculate these indices independently for federal districts and regions, for urban and rural schools, etc. Findings include certain practical recommendations for the improvement of the education systems monitoring procedures.
Pendidikan Dan Pelatihan Sebagai Upaya Peningkatan Kinerja Pegawai Perpustakaan

The purpose of this discussion is to solve problems at school. The problem in the school is the weak performance of library employees. This study uses a theory review from several reading sources. The technique of collecting data uses documentation that fits the theme of the article and interviews of the parties concerned. Based on the results of the study of theory and case studies found problems that arise in schools and there are impacts from these problems
Group k-Sparse Temporal Convolutional Neural Networks: Unsupervised Pretraining for Video Classification

In this paper we propose Group k-Sparse Temporal Convolutional Neural Networks for unsupervised pretraining using video data. Our work is the first to consider the recurrent extension of structured sparsity, thus enhancing representational power and explainability. We show that our architecture is able to outperform several state-of-the-art baselines on Rotated MNIST, Scanned CIFAR-10, COIL-100 and NEC Animal pretraining benchmarks for video classification using limited labeled data.
EVALUASI PELAKSANAAN UJIAN SIDANG PADA PENDIDIKAN TINGGI JARAK JAUH

the concept of the Open University means that the learning process can be followed for anyone who has graduated from the High School level while the long distance learning concept means the learning process does not depend on face-to-face meetings but uses a variety of multimedia that can be done independently.The research aims to evaluate the implementation of the final examination conducted by distance education.This study uses a descriptive evaluative method using a quantitative approach with a total sample of 690 postgraduate students of the UT postgraduate program.the results of the study show: 1. academic information system that is not optimal 2. an overview of the preparation of the trial examination is optimal.3. the general examination of the trial runs effectively.4. in general the results of the proceedings have been carried out effectively.
Methodological Design Of Consciousness Discourse For Subjects Of Education

The article poses the problem of the need to develop a project consciousness and teacher’s self-awareness, to expand the methodological discourse of the theory of project activities by introducing these concepts into its composition. The structure of the considered definitions “project consciousness” and “project self-awareness” is proposed. The substantiation of the content of the mental representation of the formation of the project consciousness and self-consciousness is carried out. Under the project self-awareness, the authors understand the stable system of relations of the subject in the process of implementing the project technology to their position in the ongoing socio-cultural pedagogical project and the need to change it in a problem situation, the ability to restore and update the norms of this socio-cultural pedagogical project in problem situations simultaneously with the development of their professional activity position. As a result of a theoretical study, the mental representation of the formation of project consciousness and self-awareness was modeled, the process of strategizing “project self-awareness” was described, the methodological discourse of the theory of project activity was expanded taking into account the peculiarities of the educational situation in the general education system of Russia in connection with the introduction of new educational standards. The resources ensuring the intensification of the development of “project consciousness” and “project self-awareness”, as well as the efficiency of transferring theoretical ideas about the project technology into practical activity, are an adequate way of mental representation of the design activity of teacher.