Reviewerly/exHarmony huggingface dataset:
PERSONALIZED AND ADAPTIVE FACULTY PROFESSIONAL DEVELOPMENT FOR DIGITAL RESILIENCE

Faculty face an unending challenge as they work to incorporate ever-changing tools and strategies into their work. Just as they become familiar with a toolset, it is often the case that the tools are changed. While the rate of change is not likely to slow, one way to address this challenge is to shift the focus toward the transferable skills and perspectives that do not change as rapidly. This set of competencies is characterized by their contribution to a generalized capacity to thrive in an ever-changing digital environment.This paper will introduce a proposed framework for defining and refining personal and collective digital resilience. Drawing from personal experience and informal case studies at Virginia Tech, Boise State University, and University of North Carolina at Charlotte, the examples will demonstrate potential strategies for those interested in establishing a similar program.The second section of the paper deals with the concepts of personalization and adaptivity in relation to faculty professional development. Drawing from concepts of social learning theory and Puentedura's SAMR framework, an overview of the strategies required to assess and design for adaptivity and personalization will be discussed. The role of self efficacy and the importance of personal investment by faculty is also emphasized.
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THE EFFECT OF PRAISE-QUESTION-POLISH (PQP) STRATEGY ON STUDENTS’ WRITING DESCRIPTIVE TEXT OF THE TENTH GRADE STUDENTS OF SMA SWASTA YPIS MAJU BINJAI

Based on School Based Curriculum, writing is one of the English language skills that must be taught and learned in Senior High School. SMA Swasta YPIS Maju Binjai is a school which uses K13 as the curriculum in the teaching and learning process. After doing observation in SMA Swasta YPIS Maju Binjai, the writer found that the students were difficult in developing a descriptive text. In this case, the teacher was expected to find a good strategy in order to give a contribution to increase the students’ ability in writing a descriptive text by applying Praise-Question-Polish (PQP) Strategy as a replacement of previous strategy or technique.This research consisted of two variables, they were Praise-Question-Polish Strategy as variable X, and students’ writing descriptive text as variable Y. The type of this research was an experimental research. The writer used a quasi-experimental design with nonequivalent control group which was intended to find out the effect of using Praise-Question-Polish (PQP) Strategy on students’ writing descriptive text of the tenth grade students of SMA Swasta YPIS Maju Binjai.In analyzing the data, the writer used a statistical analysis which used t-table. It was obtained that t-obtained was higher than t-table. It means, null hypothesis (H0) was rejected, and alternative hypothesis (Ha) was accepted. It could be stared that 6,971 &gt; 1,672. In conclusion, there was a significant effect of using praise-question-polish strategy on students’ writing descriptive text of the tenth grade students of SMA Swasta YPIS Maju Binjai.
Formation of Management-Qualitological Competences Amongspecialists in Education Quality Problem

The article substantiates the existence of a social contract for highly qualified specialists, professionals in quality management in the HEF. On the basis of the introduced definition “model of professional training of future specialists ineducation quality in HEF”, the structural and functional model of the system of professional training of such specialists was developed. The training of quality management professionals is based on the international principles of technical regulation in the fields of education, science and innovation, which determines the application of the ISO standards metric. A two-faceted methodology for organizing the professional training of quality specialists in the HEF is proposed.
Penerapan Model Pembelajaran NHT DenganM

The purpose of this study is to improve student learningoutcomes in Japanese language subjects class XI through theapplication of the NHT learning model with mind mappingmedia. This study uses classroom action research methodswith the stages of planning, action, observation, andreflection. The research was conducted at SMA Negeri 2Kotamobagu class XI-IBB 2 in February to April 2018. Datawere collected using observation sheets and learningoutcomes tests. The data analysis technique is done bycalculating the percentage of classical learning completeness.Indicator of the success of this study is the classical learningcompleteness of at least 75%. In other words, at least 75% ofstudents experience individual completeness, whereindividual completeness is 70. The results of the study showthat the application of the NHT learning model with mindmapping media can improve student learning outcomes inJapanese language classes XI IBB 2 SMS Negeri 2Kotamobagu.Keywords: learning outcomes, japanese language subjects, nht, mediamind mapping.
Systematically uncovering mutants in testing safety critical software : Using symbolic execution on surviving mutants from mutation testing

This thesis investigates how symbolic execution and constraint solving can be used for detecting equivalent and non-equivalent mutants in mutation testing. The presented method proposes a driver im ...
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Penerapan Metode Instalasi Tangki Cryogenic Di Rumah Sakit Untuk Mewujudkan Konsep Green Economic Dalam Bentuk Green Logistic (Studi Kasus di PT. Sentosa Ultra Gasindo)

The embodiment of green economy is increasingly sought by various companies throughout the world. This is done as a form of responsibility and care to help preserve nature and maintain the survival of living things in it.PT. Sentosa Ultra Grasindo as one of the companies engaged in the gas industry that provides various types of gas, one of which is medical gas applying the cryogenic tank installation method to help realize the green economy. This study aims to determine how the impact of the application of Cryogenic Tank installation methods in hospitals to the realization of green economy in the form of green logistics for oxygen distribution activities to XYZ Hospital, which is its client.This is a qualitative descriptive study using primary data types obtained from in-depth interviews and observations of related parties. The results showed that the method of installing cryogenic tanks in hospitals was considered to be more environmentally friendly and realize effectiveness and efficiency for PT. Sentosa Ultra Gasindo and for XYZ Hospital.
E-BOOT: Preventing Boot-Time Entropy Starvation in Cloud Systems

Due to the impracticability of generating true randomness by running deterministic algorithms in computers, boot-loaders and operating systems undergo the lack of enough supplies of entropy at boot-time. This problem remains a challenge and affects all computer systems, including virtualization technologies. Unfortunately, this situation leads to undesired side effects, affecting the security of important kernel components and causing large blocking waits in the start-up of userland processes. For example, SSHD is delayed up to 4 minutes. In this paper, we analyze the boot-time entropy starvation problem, performing a comprehensive analysis of the Linux kernel boot process revealing that the problem not only affects userland applications but up to 33 kernel functions at boot time. Those functions are weakly fed by random numbers from a non-initialized CSPRNG. To overcome this problem, we propose E-Boot, a novel technique that provides high-quality random numbers to guest virtual machines. E-Boot is the first technique that completely satisfies the entropy demand of virtualized boot-loaders and operating systems at boot time. We have implemented E-Boot in Linux v5.3 and our experiments show that it effectively solves the boot-time entropy starvation problem. Our proposal successfully feeds bootloaders and boot time Linux kernel hardening techniques with high-quality random numbers, reducing also to zero the number of userspace blocks and delays. The total time overhead introduced by E-Boot is around 2 μs and has zero memory overhead, since the memory is freed before the kernel boot ends, which makes E-boot a practical solution for cloud systems.
The Importance Of Innovative Behaviour Towards Employee’S Job Performance

The industrial revolution 4.0 focuses heavily on the important of automation usage and data exchange that limits the usage of human skills and capacity. Thus, the role of human capital needs to be feasible and relevant in the context of industrial revolution nowadays. This phenomenon has impacted the SMEs organization which therefore affected the capacity of SMEs employees. Hence, the SMEs need to be prepared for these challenges by providing a feasible and relevant employee who are innovative and creative. As such, this study tends to focus on the important of innovative behaviour among employees. This paper aims to investigate the relation between innovative behaviour and job performance of the SMEs employees. Sample of respondent was selected among SMEs workers in electrical and electronic sector. The study used 201 questionnaires obtained from SMEs employees and the data was analysed using PLS-SEM. From the finding of this study, the outcome of the analysis showed a positive relation between innovative behaviour and job performance. This study provides useful information for researchers and practitioner in understanding the importance of innovative behaviour towards the employee’s job performance.
Car Exterior Damage Detection Using Mask R-CNN

Recently, the production of image-based vehicle insurance is an important area with considerable scope for automation reach. In this paper we consider the issue of classifying car damage, where some of the categories may be fine-granular. To this reason, we are exploring deep learning-based techniques. Initially we try to train a CNN directly with a collection of training data. However, it's not working well due to a small collection of labeled data. Hence, we investigate the domain-specific pre-training effect accompanied by fine-tuning with a large number of annotated training-data. As Faster R-CNN and SVM have not identified damaged cars with high accuracy, and the Cascade R-CNN takes an immense amount of time to train and check the data that we are working on to fit. Hence, we are training data into a R-CNN Mask that produces adequate results compared to traditional Neural Networks. Though there is a lot of unknowns such as partial images, Hence the classifier was built to detect amorphous damages. The model is layered over 3 classifications of detecting the car and examining whether the damage dealt is high or low. Finally, the classifier is projected with the flask environment to make the working experience easier, since it runs on a localhost the compile time does not exceed 5 seconds irrespective of the quality of the image. Experimental results indicate that Mask R-CNN works better than convolutional R-CNN as transfer learning works better than domain specific fine-tuning such as Cascade and Faster R-CNN. We achieve 89.5 per cent accuracy with Mask R-CNN through transfer combination.
PELATIHAN APLIKASI DATA KEPENDUDUKAN DAN SURAT MENYURAT DI DESA JADA BAHRIN

Jada Bahrin is a village that is very different from other villages in Bangka Island which is famous for its tin mines. This village is famous for its plantations and agriculture. Because the location of the village is in the area of ​​plantations and agriculture, so many village officials or school administrators do not know or are unable to enter data into computers, both population data and write letters. Based on the situation analysis that has been explained, a problem that can be formulated in Jada Bahrin Village is the absence of training for the community to be able to use population applications and correspondence. With this training it is hoped that the village administration and the school can be better and easier to do archiving and data searching.
Rancang Bangun Sistem Informasi Geografis Berbasis Web dan Android untuk Pemetaan Industri Kecil dan Menengah di Kota Mataram

Small and Medium Industries (SMIs) have a very important role as a driver of the economy in Indonesia because SMIs can function as a provider of employment for a number of people who are not accommodated in the formal sector. SMIs also contributes to the formation of Gross Domestic Product (GDP) and as a source of foreign exchange. However, SMIs experienced obstacles in the fields of marketing, business networks, and information technology. In realizing an independent and developing SMIs, a supporting media is needed which can later be useful as a tool to introduce SMIs to the wider community and align it with other business actors. In addition, the government also needs a media that can be used for licensing data collection, taxes, and as a tool to monitor the development of SMIs. In this case a geographic and web-based geographic information system has been built to meet the need for information on SMIs in the city of Mataram. It is hoped that this system can help the community and the government to find out the information needed easily, quickly, and accurately. Based on the results of the Mean Opinion Score, it shows that the average rating of respondents of website users on the system agrees and strongly agrees to agree worth 67.50%. While the average rating of respondents of mobile users to the system agree and strongly agree is worth 78.33%.
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Learning in Games

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Role of Participatory Communication and Social Media in Sustainable Development of Economically and Socially Backward Tribal Village of Kankadiya- District Bhopal, (A Case Study)

Sustainable development in India needs vision and solutions in all the dimensions regardless of disparity in geographical area, social background, economic condition, language, caste or community. More than 80% population in India lives in villages and majority of them are deprived of basic amenities for their livelihood. The urban community has all the digital, information and communication technologies (ICT) at their fingertips and they enjoy all the benefits to meet their basics day to day requirement. Whereas, the mass population of our country receding in rural areas lag far behind in information and social networking. This shows a vivid distinction in urban and rural development. The present case study focuses on how participatory communication and social media could help these economically and socially backward tribal villagers of Kankadiya in Bhopal district. The study also focus how these tribal community could be bought into the main stream to achieve sustainable growth and development. The case study is so designed that the basic needs (economicand social) of the villagers is studied with participatory communication and spending a span of one year with the tribal families.
Hermite transform-based superpixel for texture image segmentation

Superpixel algorithms oversegment an image by grouping pixels with similar local features such as spatial position, gray level intensity, color, and texture. Superpixels provide visually significant regions and avoid a large number of redundant information to reduce dimensionality and complexity for subsequent image processing tasks. However, superpixel algorithms decrease performance in images with high-frequency contrast variations in regions of uniform texture. Moreover, most state-of-the-art methods use only basic pixel information -spatial and color-, getting superpixels with low regularity, boundary smoothness and adherence. The proposed algorithm adds texture information to the common superpixel representation. This information is obtained with the Hermite Transform, which extracts local texture features in terms of Gaussian derivatives. A local iterative clustering with adaptive feature weights generates superpixels preserving boundary adherence, smoothness, regularity, and compactness. A feature adjustment stage is applied to improve algorithm performance. We tested our algorithm on Berkeley Segmentation Dataset and evaluated it with standard superpixel metrics. We also demonstrate the usefulness and adaptability of our proposal in medical image application.
Study on the Selections of Primary Variables in K-Values-Based Compositional Model

K-values-based compositional model has two selections of primary variables: the natural variable selection and the overall quantities variable selection. In this paper, we compare the differences of the two selections and the effects on computational accuracy and efficiency. A CO2 flooding numerical simulations shows that the accuracy of the two primary variable selections is the same, but the K-values-based compositional model with natural variable selection is more efficient and more stable than K-values-based compositional model with overall quantities variable selection.
Preface to the special issue on Computing and Combinatorics

Since the seminal paper by Bloom, Fokkink and van Glabbeek, the Divide and Congruence technique allows for the derivation of compositional properties of nondeterministic processes from the SOS-based decomposition of their modal properties. In an earlier paper, we extended their technique to deal also with quantitative aspects of process behavior: we proved the (pre)congruence property for strong (bi)simulations on processes with nondeterminism and probability. In this paper we further extend our decomposition method to favor compositional reasoning with respect to probabilistic weak semantics. In detail, we consider probabilistic branching and rooted probabilistic branching bisimilarity, and we propose logical characterizations for them. These are strongly based on the modal operator 〈ε〉 which combines quantitative information and weak semantics by introducing a sort of probabilistic lookahead on process behavior. Our enhanced method will exploit distribution specifications, an SOS-like framework defining the probabilistic behavior of processes, to decompose this particular form of lookahead. We will show how we can apply the proposed decomposition method to derive congruence formats for the considered equivalences from their logical characterizations.
THE TRANSFORMATION OF THE „JAPANESE TRACE“ IN THE WORK OF NIKOLAY STOYKOV

e contemporary Bulgarian composer Nikolay Stoykov is extremely attached to the image world of the Bulgarian musical folklore. Colorful as an author, he reconsiders and liberates authentic folk material with modern compositional language and thus breaks the traditional boundaries of musical structures. The subject of my monograph1 was the questions related to the artistic imagery in the choir work of Nikolay Stoykov and the original composer techniques usedby the author. While I was researching and writing about the rich heritage of the composer – about 100 opuses, I encountered various unique and turning points of his life. Stoykov was taught composition by the unsurpassed Pancho Vladigerov. I thought this was the most important fact that largely influenced and shaped his compositional style. In one of the chapters of themonographic survey „Vocal Landscapes“ (Кroteva 2017, pp. 20 – 27), I point to a little-known fact – the meeting of Nikolay Stoykov with the Japanese lyrical art. Back in 1966 he wrote four exquisite pieces of „Tanka“ for a male voice and piano on poems by Ishikawa Takuboku. Nikolay Stoykov has various creative appearances. In addition to musical works, he has published three books with haiku poetry and poetic messages in which he has expressed himself „without notation“. The question of the influence of the short Japanese poetic forms on the composer’s creative invention was not in the focus of my work, and remained unexplored in depth. The theme of the International Science Forum „The East – So Far, So Close“ provoked me to trace the creative predisposition of Nikolay Stoykov to the Eastern cultures and to add extra touches to the portrait of this extremely interesting composer.
Achieving data security with cloud storage in adoption framework

Cloud computing provides flexible data management and ubiquitous data access. In existing system, an efficient large universe regular language searchable encryption scheme (data signing) is used. It has the tedious process work for decryption of files and data because tokens are need to be generated at the time of decryption. In proposed work, AES algorithm is used for uploading files. The files are encrypted initially and uploaded in the database. The data user sends the request to all admins and the admins verify whether the data user is authorized person or not using video mode. The proposed work reduces the time consumption compared to existing system.
APU Online Exam Docket System

Quick Response Code, which also known as QR Code are becoming more common among youngsters especially students in tertiary education as it has been implemented on various areas for different purposes. Furthermore, the evolving of e-wallet in Malaysia has made the society more understanding about the functionality of QR Code. Thus, it would be great to implement an online system that utilize QR Code in Asia Pacific University (APU) Exam Docket System so that it can save the time for overall process of distribution and collection of exam docket. Through the proposed system, the management of the university able to generate exam docket to the students and the attendance of the candidate will be updated once the QR Code is being scanned at the exam hall. As a result, this paper will discuss about the problems of the current system in introduction and methodology that will used to collect requirement of the system in the following section. All the results collected will be discussed in result and discussion section. Lastly, the researcher will talk about technical research and limitation as well as recommendation of the system before ending this research.
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Sub-corpus topic modeling og diskursanalyse: gruvearbeid, tråling eller kokekunst?

Heidi Karlsen, Department of Linguistics and Scandinavian Studies, University of OsloSub-corpus topic modeling: Mining, Trawling, or Cookery? (Sub-corpus topic modeling og diskursanalyse: gruvearbe ...
Space-time continuum in A. Blok’s cycle «Poems about the Beautiful Lady»

Əбілқасым əз-Замахшаридың өмірі мен шығармашылығын кешенді
Undeserved Authorships Problems in Scholarly Journals: Issues and Guidelines

The publication is a process to make content (scientific or non-scientific) available to the general public with the help of printing or digital media. Also, “publication” is a legal term where copyright legislation plays an important role. The publications comprised of different types that include, book publications, scholarly publications (research articles or review articles), self-publication, newspapers, magazines, etc. In the academic field, the authors will submit the manuscript to the publishers for publishing in scientific journals/ magazines or books. The author’s submission will be reviewed and published in digital or printed media. The authors are playing a major role by contributing their manuscript to the scholarly publication and they are the primary source of information. Read more . . .