Reviewerly/exHarmony huggingface dataset:
Developing Interactive Mobile Learning Experiences for Healthcare Professionals

The purpose of this article was to examine best practices for designing inquiry-based contextual instructional content and determining the pedagogical uses and impacts of communities of practice for supporting mobile learning activities. In this convergent parallel mixed methods case study, mobile learning experiences were accessed by physicians, nurses, and healthcare professionals at medical organizations across Ontario. Impact was measured by the learning outcomes and experiences of study participants. Findings highlighted the effectiveness of context-specific, situated learning content for application of learned skills, integration of new knowledge, and identification of best practices. Synchronous discussion forums were examined for collaboration and communication during mobile learning, and asynchronous forums were ideal for post-learning collaboration, problem-solving and resource sharing.
Towards a fully automated process chain for the lay-up of large carbon dry-fibre cut pieces using cooperating robots

At the Center for Lightweight Production Technology (ZLP) a pick and place process using cooperating robots for the draping and handling of large textiles in the production of a rear pressure bulkhead from carbon fibre reinforced plastics (CFRP) has been developed and presented in the past. This work has primarily shown the feasibility of draping and handling large cut-pieces with passively adjustable end-effectors that can reproduce spherical geometries. The process chain developed recently is mirroring a complete industrialized production and incorporates different technologies developed at our facility. Sub-processes include the planning of grip- and drop-points based on the ideal tool geometry, preprocessing of the data, automated adjustment of the grippers, cut piece detection and finally a collision-free path planning system for the robots. The process chain was used for several plies within the production of a full scale demonstrator of a rear pressure bulkhead. This work depicts the current state of the development and shows the results of the full scale application of the process. Opportunities and limitations of the setup for an industrial environment are discussed.
Pengaruh Akuntabilitas dan Transparansi Terhadap Pengelolaan Keuangan Sekolah Menengah Atas (SMA) Negeri Se-Kota Bandung

Accountability and transparency are an inseparable unit in financial management. Accountability is defined as the ability to show reports or records that can be accounted for. While transparency is openness regarding financial management information that can be accessed by parents, the community and the government. In preparing the School Expenditure Budget Plan (RAPBS) the process of planning, organizing, directing, coordinating, reporting / accountability, and monitoring both internal and external to the school of financial managers and implementing activities is an effort in implementing accountable financial management and transparent. This research was conducted at Bandung City Public High Schools by involving 216 respondents from 540 people. The research method used is descriptive method with sampling technique that is cluster sampling method with multiple linear regression data analysis assisted by SPSS Ver program. 16. Data processing is done through transformation of data from ordinal to intervals and the test data used are the normality test, linearity test, validity test, reliability test, correlation analysis, multiple regression analysis, after research has shown that accountability and transparency affect the management of school finances and has a significant degree both partially and simultaneously.
Towards automatic sign language corpus annotation using deep learning

Sign classification in sign language corpora is a challenging problem that requires large datasets. Unfortunately, only a small portion of those corpora is labeled. To expedite the annotation process, we propose a gloss suggestion system based on deep learning. We improve upon previous research in three ways. Firstly, we use a proven feature extraction method called OpenPose, rather than learning end-to-end. Secondly, we propose a more suitable and powerful network architecture, based on GRU layers. Finally, we exploit domain and task knowledge to further increase the accuracy.We show that we greatly outperform the previous state of the art on the used dataset. Our method can be used for suggesting a top 5 of annotations given a video fragment that is selected by the corpus annotator. We expect that it will expedite the annotation process to the benefit of sign language translation research.
ROLE OF HIGHER EDUCATION IN KNOWLEDGE ECONOMY IN INDIA

Today, the whole world depends upon knowledge. Without it we cannot go forward in our lives. Thisknowledge is integrated with economy today. Knowledge economy refers to use of knowledge in productivework from that we get return back in a very high rate. In the present era of globalization, education is aninvestment product. As a productive asset we get return back from it.Education is a powerful tool in aprogressive society. It plays a major role in skill sets for acquiring jobs, as well as specific qualities. Educationproduces a labour force that is more skilled, more adaptable to the needs of a changing economy, and morelikely to develop the imaginative ideas, techniques and products which are crucial to the processes of economicexpansion and social adaptation on change. Knowledge economy is a new global reality to which all individualsand societies must adjust and that lifelong learning is the strategy to secure adjustment.
Network Security: Captive Portal

Nowadays, to handle efficacy the numbers of people who uses the networks and to secure the access of this network, the enterprises or organisations installs a way to manage their actions. This way is called Captive portal. A Captive portal is an application responsible for controlling and managing the access of users to public and private networks in an automate way. In the proposed work, Captive portal is installed into Linux Debian and developed with PHP. Linux Debian will be a web server, database server and will have the necessary table routine. The entries are verified in the database, if the entries are valid, the user gets the internet access for certain period of time. If the entries are invalid access gets denied. Keywords: Captive Portal, IPTABLE, DHCP, LAMP, LINUX, NAT Cite this Article: Rasolofoniaina Samoelina Tahina, Garima Pathak. Network Security: Captive Portal. International Journal of Wireless Network Security. 2020; 6(1): 7–9p.
SMALL AND MEDIUM ENTERPRISES AND ECONOMIC GROWTH:\r\nEVIDENCE FROM PAKISTAN

Ponte Academic JournalJul 2020, Volume 76, Issue 7 SMALL AND MEDIUM ENTERPRISES AND ECONOMIC GROWTH:\r\nEVIDENCE FROM PAKISTANAuthor(s): Faiza Manzoor ,Longbao WeiJ. Ponte - Jul 2020 - Volume 76 - Issue 7 doi: 10.21506/j.ponte.2020.7.9 Abstract:Currently, instead of large enterprises, small and medium enterprises (SMEs) have gained prominence in developing nations; because of the higher labor-intensity and working with less capital and low management cost. SMEs are a major driver of employment growth and poverty alleviation in the least developed countries (LDCs). The refining process of economic growth in developing nations requires development in SMEs. As an objective, this paper attempts to assess the role of SMEs in the economic growth of Pakistan. The analyses are based on the annual time-series data and the sample period was 1990 to 2018. Real Gross Domestic Product growth has been used as a proxy for economic growth in Pakistan, and part of SMEs in economic growth has been measured through a total output of SMEs in GDP. Unit root tests are employed to verify whether the variables are stationary. The Ordinary least square (OLS) regression equation technique has been used to evaluate the study data. The main outcomes of the study exposed that SMEs have a significant effect on economic progress and work more efficiently for the economy. Moreover, study suggestions, limitations, and further research directions are presented. Download full text:Check if you have access through your login credentials or your institution Username Password
Information security controls for multi-cloud and microservices

&#x0D; &#x0D; &#x0D; The current study, provides the information security control process involved in multi-cloud and micro services. In recent years, there has been great demand to provide two layer securities in almost all sectors with the use of information technologies. Hence the present study highlights on the information securities and their importance.&#x0D; &#x0D; &#x0D;
The Use of Instagram to Improve English Literature Studentsâ€™ Self-Confidence in Mastering Speaking Skill

Abstract: Instagram is one of social media applications used in daily life now. It is used to uploading any picture, video, and live event. This research aims to describe the use of Instagram to improve English literature students’ self confidence in mastering speaking skill. This research was qualitative research. 28 students of the first semester in English Literature Department, Faculty of Culture Sciences, Mulawarman University were taken as respondents of this research. Technique of collecting data used was (1) interview, (2) observation, (3) questionnaire, and (4) documentation. Meanwhile, technique of analyzing data used was miles and Huberman’s model. Based on the research findings, it shows that (1) most of students strongly agree about the use of Instagram in mastering speaking skill and (2) students’ self-confidence in speaking skill can be improved. From those explanations, it can be concluded that Instagram can improve students’ speaking skill from inside to outside. Moreover, speaking through Instagram is more comfortable for passive students in the classroom. Besides that, students are more confidence to speak English than before through Instagram.  Keywords: Instagram, English Literature Students, Self-confidence, Speaking skill. Abstrak: Instagram adalah salah satu aplikasi media sosial yang digunakan dalam kehidupan sehari-hari sekarang. Ini digunakan untuk mengunggah gambar, video, dan acara langsung. Penelitian ini bertujuan untuk mendeskripsikan penggunaan Instagram untuk meningkatkan kepercayaan diri mahasiswa sastra Inggris dalam menguasai kemampuan berbicara . Penelitian ini adalah penelitian kualitatif. 28 siswa semester pertama di Jurusan Sastra Inggris, Fakultas Ilmu Budaya, Universitas Mulawarman diambil sebagai responden dari penelitian ini. Teknik pengumpulan data yang digunakan adalah (1) wawancara, (2) observasi, (3) kuesioner, dan (4) dokumentasi. Sementara itu, teknik analisis data yang digunakan adalah mil dan model Huberman. Berdasarkan temuan penelitian, itu menunjukkan bahwa (1) sebagian besar siswa sangat setuju tentang penggunaan Instagram dalam menguasai keterampilan berbicara dan (2) kepercayaan diri siswa dalam keterampilan berbicara dapat ditingkatkan. Dari penjelasan tersebut, dapat disimpulkan bahwa Instagram dapat meningkatkan keterampilan berbicara siswa dari dalam ke luar. Selain itu, berbicara melalui video Instagram lebih nyaman bagi siswa pasif di kelas. Selain itu, siswa lebih percaya diri untuk berbicara bahasa Inggris daripada sebelumnya melalui Instagram. Kata Kunci: Instagram, Mahasiswa Sastra Inggris, Kepercayaan diri, Keterampilan berbicara.
Application of Conditional Generative Adversarial Network in Image Super-Resolution Reconstruction

In the process of image processing, the higher the resolution of the image, the richer the data information contained in the image. Aiming at the problem of low image resolution, through the research of generating countermeasure network, the condition generating countermeasure network is used to solve this problem. We use a symmetric convolutional neural network as the generator network, each of which has 6 layers. At the same time, by entering the labels into the discriminator, the connection between the original image and the model-generated image can be derived. In the loss function during the experiment, perceptual loss and mean square error are added, and good results are obtained in the actual experiment, and the visual effect of the generated image is more ideal. Compared with other algorithms, the proposed algorithm achieves the visual effect of SRGAN, and the effect on some pictures has been greatly improved.
Penerapan Model Pembelajaran Discovery Learning dalam Meningkatkan Hasil Belajar Siswa.

The learning process is centered on the student but the implementation is still centered on the teacher. The purpose of this study is to see the application of learning discovery models with picture media to student learning outcomes. This research is an experimental research. The research subjects were students of class VIII MTsN 7 Pesisir Selatan in the academic year 2018/2019. The experimental class is VIII. 5 and the control class is VIII. 3 selected using a purposive sampling technique. The design of this study was the Posttest Only Random Control Design. Cognitive assessment can be seen from the student's final test. Data analysis was performed using t-test, with t test> t table. Based on the results of the study, it can be concluded the average test of student learning outcomes in the experimental class is 80.70, on the other hand the average test of student learning outcomes in the control class is 69, 37. After the trial is carried out, find the findings of the t test 6.59 and t table 1.67 that meanst test> t table, thus the research hypothesis is accepted. From the results of this study, it can be concluded if the application of the Discovery Learning Model with image media can improve student scores in biology subjects in the cognitive domain in class VIII MTsN 7 Pesisir Selatan.
Boekbespreking: A Practitioner's Guide to European Patent Law (Book Review: A Practitioner's Guide to European Patent Law)

Dutch Abstract: Dit is een bespreking van England, A Practitioner's Guide to European Patent Law (Hart 2019).English Abstract: This is a review of England, A Practitioner's Guide To European Patent Law (Hart 2019). The review is in Dutch.
DEVELOPMENT OF ELECTRONIC SERVICES FOR LICENSING MANAGEMENT (ESPESI)

Research and Development 4-D research design. Phase 4-D includes: define, design, develop and disseminate. The define phase aims to gather various information related to the product to be developed. The design phase aims to prepare the initial product design. The develop phase aims to produce a decent website. Disseminate phase is the final stage in product development. The subjects in this study consisted of two namely validator (expert expert online administration system and administration). The results of research on the development of eSpeSI according to validation or assessment from experts in the appropriate or good category if it will be applied in the field with the page https://ptm.ustjogja.ac.id/spesi/web/, while based on trials from users in this case students UST mechanical engineering education by stating the response was very good.
Study and Analysis of User Desired Image Retrieval

Background: In the present digital world, Content Based Image Retrieval (CBIR) has gained significant importance. In this context, the image processing technology has become the most sought one, as a result its demand has increased to a large extend. The complex growth concerning computer technology offers a platform to apply the image processing application. Well-known image retrieval techniques suitable for application zone are 1.Text Based Image Retrieval (TBIR) 2. Content Based Image Retrieval (CBIR) and 3.Semantic Based Image Retrieval (SBIR) etc. In recent past, many researchers have conducted extensive research in the field of content-based image retrieval (CBIR). However, many related research studies on image retrieval and characterization have exemplified to be an immense issue and it should be progressively developed in its techniques. Hence, by putting altogether the research conducted in the recent years, this survey study makes a comprehensive attempt to review the state-of –the art in the field. Aims: This paper aims to retrieve similar images according to visual properties, which defined as Shape, color, Texture and edge detection. Objective: To investigate the CBIR to achieve the task because of the essential and fundamentals problems. The present and future trends are addressed to show come contributions and directions and it can inspire more research in the CBIR methods. Result: we present a deep analysis of the state of the art on CBIR methods; we explain the methods based on Color, Texture, and shape, and edge detection with performance evaluation metrics. In addition, we have discussed some significant future research directions reviewed. Methods: This paper has quickly anticipated the noteworthiness of CBIR and its related improvement, which incorporates Edge Detection Techniques, Various sorts of Distance Metric (DM), Performance measurements and various kinds of Datasets. This paper shows the conceivable outcomes to overcome the difficulties concerning re-positioning strategies with an exceptional spotlight on the improvement of accuracy and execution. Discussion: At last, we have proposed another technique for consolidating different highlights in a CBIR framework that can give preferred outcomes over the current strategies.
A Projection Rule for Complex‐Valued Associative Memory with Partial Connections

Projection rule is a powerful learning scheme for embedding patterns onto Hopfield‐type associative memories, but this cannot be used for non‐fully connected networks, such as bidirectional associative memory. This paper presents a novel type of Projection rule that can embed patterns onto partially connected networks. The applicability and performances of the proposed Projection rule are evaluated through numerical experiments. From experimental results, it is confirmed that the proposed scheme actually works on partially connected networks, though the embedding capability is not high with compared to the one in fully connected networks. It is also shown that gray‐scaled images can be embedded and retrieved in the networks. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
GIS for Language Study

GIS for language study is a relatively new phenomenon within digitally oriented linguistics that took shape during the so-called “spatial turn” within the humanities, beginning in the 1990s. Geogra ...
Matrix Lie group as an algebraic structure for NTRU like cryptosystem

In this paper, we briefly describe the mathematical structure lattice and its cryptographic hard problems. The lattice based public key cryptosystem NTRU and its matrix variant Matrix NTRU are analyzed. Based on the analysis we propose the algebraic structure Matrix Lie Group as an alternative for the algebraic structure in Matrix NTRU in order to overcome some of the flaws in the Matrix NTRU cryptosystem.
Frequency Dependent Damage Pattern in Kathmandu Valley Due to Mw 7.8 Gorkha Earthquake

The Mw 7.8 Gorkha Earthquake (25th April 2015) is powerful earthquake ripped through Central Nepal occurs about 77 Km northwest of Kathmandu Valley. Several studies reveal the fact that comparatively larger earthquake damage in the Kathmandu valley are associated with the valley ground structure. Study focus on reason behind clustering of damages due to mainshock (7.8 Mw) inside Kathmandu valley in certain pattern and its dependency with frequency content of the shattered waves. Data used to meet objective of present research are ground motion data and damage data, for ground motion data seismic stations inside the valley are use. The damage data are collected by both primary and secondary sources. Frequency domain spectral analysis is incorporated in research and found that the maximum power and amplitude, associated, and attributed for particular narrow frequency band. Spatial component of frequency is wavelength which may indicate periodic repetition of maximum power with crest and trough. To estimate spatial distribution of maximum amplitude simplified wave relation is used. Study reveals that the lateral extension of the peak destruction zone as fourth of wavelength and the successive distance between peak destruction zones is half of wavelength. Peak destruction zone, the zone where the damage is maximum and lies either on crest or trough of the propagated wave. Study reveals that propagation of waves is S45oE form the epicenter of Gorkha Earthquake. Heterogeneity in damage on peak destruction zone can be contributed by the variation in geology of Kathmandu Valley.
DEVELOPMENTS IN INTELLIGENT TUTORING SYSTEMS 2010-2020

Intelligent Tutoring Systems (ITS) vary a lot in the architecture employed, the realization of domain knowledge,the student modelling techniques, the pedagogical techniques and in numerous other aspects. This literaturereview attempts to highlight the key theories and implementation technologies adopted in the design anddevelopment of ITSs during the period under review.
싱가포르 대학생의 잠재적 한국어 학습 동기

This study aims to investigate the potential demand for learning Korean language. Potential demand for Korean Language learning among young Singaporeans was analysed with established pedagogical principles based on Dornyei(2005)’s ideal L2 self. A questionnaire with 13 Likert-type scale items was developed to survey the language learning motivation of 359 university students who have experience of learning the third language during their secondary ages. The result showed a strong interest in travelling to Korea, a high commitment to foreign language learning, and a deep recognition of the distinctive characteristics that make up Korean culture. About 20% of the participants are already learning Korean in one form or another, many of whom have been interested in learning Korean from a young age. Coupled with the positive findings from the study on the potential demand for Korean among young Singaporeans, the study concludes that there is a strong and sustainable case for introducing Korean into the public education system in Singapore. (Nanyang Technological University)
The advancement of internet of things in the world

&#x0D; &#x0D; &#x0D; The present study reports the rapid expansion of Internet of things (IoT) with the increase in the technological aspects across the globe. This can be considered to be the upcoming revolution reaching the masses with different applications ranging from e-learning of educational sector to online Global e-commerce business marketing. Even during the time of Covid-19, there is increase in its usages compared to previous years,keeping all into consideration, the present mini review is drafted to highlight the important parameters and applications of IoT.&#x0D; &#x0D; &#x0D;
REINSTATING AND ACHIEVING AGILE THROUGH NATURAL LANGUAGE PROCESSING

Its an Agile mania that is revolutionizing the software industry. The common meaning of Agile is to move quickly and easily. Using Agile methodology work is done in an easy and convenient way and projects are delivered in a serialized process rather than delivering it at the completion. This paper studies various ceremonies that are being followed in Agile way of working and discussed various solutions for the hangover problems that are creeping up during every sprint. Also, Machine Learning algorithms, in specific Natural Language processing will be used to devise a product that will be used to assist the product owners and team to estimate the user stories for the hassle-free delivery of product to market thereby avoiding any hangovers