Reviewerly/exHarmony huggingface dataset:
Relationships between educational participants in the context of problem modeling

At present, the goal of education is not only to prepare a specialist who has received theoretical and practical training of high-level. It is also important for a student to be engaged in the development of new technologies, to adapt to the conditions of a particular production environment, and be able to make new technological decisions. Therefore, the educational process should be developed under the conditions of a model-based approach. The purpose of this study is to present the developed structure of interaction between the subjects of the educational process in terms of the problem-model approach within preparation of elementary education teachers. A methodical system of specialized training of pedagogical students (n=400) has been developed by researchers and implemented during 5 weeks in the context of problem modeling. Results show that the number of students of experimental group who have reached the creative level of training was 62.5%, which is 1.3 times more than the same indicator for control group, where there is a minority of such students. Thus, most students have achieved a creative level of training in specialized academic disciplines and a high level of development of specialized competencies. The materials of the article can be useful to: faculty and heads of universities, where future teachers are trained, to improve the quality of student training and more effective organization of the educational process; employers of future teachers; pedagogical students and potential applicants.
A Trusted new method for Authentication and Security for Web Applications in Cloud using RSA Algorithm

Cloud stands for Common Location independent Online Utility on Demand services (or) Communities Libraries, Online Union Database which is abbreviated from AT&T (American Telephone & Telegraph) corporation. Now a day’s cloud computing is one of the outstanding generation to provide wide form of services consisting of Software-as-a-Service, Infrastructure-as-a-Service, Platform-as-a-Service, Data-as-a-Service and Voice-as-a-Service and many others. Cloud computing is a brand new innovated technology which offers various competencies to the users on call for foundation. In cloud computing facts storage is one of the famous offerings which stores records at remote servers and decreases cost at client aspect. Apart from the blessings cloud also lagging in presenting authentication, safety, integrity, availability to the person’s information due to information isn't always beneath control of end user. Secret word and short message based validation strategies are at present the most famous ones to confirm portable clients. Be that as it may, there is numerous security dangers associated with these verification techniques. In this paper, proposed a Novel verification based on multifactor parameters strategy
Investigating vulnerabilities in a home network with Kali Linux

The advancement of the internet across the globe has made computer users implement several ways of protection against possible network threats. The goal of this thesis is to analyse vulnerabilities ...
A Didactic Shift in the Organization of Training for the Field of Education

The article analyzes the changes in educational training programs for education. Based on the analysis of educational programs of the master’s program using the method of content analysis of university sites, particularly important changes in the areas of programs, their content, and implementation results are identified. Also, the paper analyzes a didactic shift in the implementation of higher education programs in connection with changes in anthropological ideas about a person, changes in labor market requirements, a changing structure of scientific knowledge about educational activities as a system of human capital reproduction.
JOURNALISM PRACTICE IN AN ERA OF UNGUIDED UTTERANCES

This study investigated newspaper framing of hate speech in Nigeria. In doing so, attention was paid to the sources of hate speech as well as the framing of hate speech using three broad frames namely supportive, critical and neutral frames. The researcher also focused on three broad areas that often manifest in hate speeches. They are politics, religion and ethnicity. Content analysis was used for the study while a  total of four newspaper-the Punch, Vanguard, Leadership and Daily Trust were sampled for the study which duration was three years. The result showed that politicians and their supporters usually make hate speeches most while newspaper framing of hate speech is determined by the issue involved. Consequently, it was found that while newspapers are likely to frame political hate speech using a critical frame, a support frame is used to frame religious hate speech and neutral frame for ethnicity hate speech. Based on the result of this study, the researcher recommends, among others,  that newspapers should adopt critical frame in framing hate speech relating to ethnicity as the use of neutral frames may divide the country along ethnic line.
A New Year Lies Ahead!

Performance ImprovementVolume 59, Issue 1 p. 4-5 Editor's Notes A New Year Lies Ahead! Lisa Kopochinski, Lisa KopochinskiSearch for more papers by this author Lisa Kopochinski, Lisa KopochinskiSearch for more papers by this author First published: 28 February 2020 https://doi.org/10.1002/pfi.21908Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume59, Issue1January 2020Pages 4-5 RelatedInformation
On the Pluses and Minuses of Risk

Evaluating the effectiveness of retrieval models has been a mainstay in the IR community since its inception. Generally speaking, the goal is to provide a rigorous framework to compare the quality of two or more models, and determine which of them is the “better”. However, defining “better” or “best” in this context is not a simple task. Computing the average effectiveness over many queries is the most common approach used in Cranfield-style evaluations. But averages can hide subtle trade-offs in retrieval models – a percentage of the queries may well perform worse than a previous iteration of the model as a result of an optimization to improve some other subset. A growing body of work referred to as risk-sensitive evaluation, seeks to incorporate these effects. We scrutinize current approaches to risk-sensitive evaluation, and consider how risk and reward might be recast to better account for human expectations of result quality on a query by query basis.
I (Do Not) Like Reading!: A Narrative Inquiry into Indonesian Highschoolers’ General Reading Motivation

The study of motivation has been going around in the educational field for years long, but the issue is there are not many studies that specify in reading motivation, specifically for EFL and/or ESL students. Looking upon this concern, this narrative inquiry study tried to recognize the reasons behind the reading motivation amongst the students, particularly from Blue Star Senior High School, through the Self-determination Theory (SDT) principle from Deci &amp; Ryan (1991) and some other possible social aspects, such as family and peers. It was later found out that in general, Blue Star Senior High School’s students are more likely to be extrinsically motivated when they read and the biggest encouragement to their extrinsic motivation is their social circle. While for our main participants, their past experiences were the ones that played important roles in constructing their motivation, either intrinsically or extrinsically.
The phenomenon of blockchain technology and the future of self-stabilising and self-adaptive systems of systems

Thinking in terms of blockchain technology has developed rapidly over the past decade, with the focus primarily being on all the new possibilities created by this essentially technology-driven development. At its core, blockchain technology consists of a combination of reliable communication mechanisms between systems and the performance of joint decision-making processes by these systems. Consensus algorithms enable combinations of hardware, algorithms, and software (i.e., cyber-physical systems) to operate in networks and engage in secure intercommunication and interaction in these networks. Thanks to intercommunication, cyber-physical systems are able to reach consensus on decisions on information transactions to perform. This, in turn, empowers interconnected systems to increase their level of autonomy and adapt their individual and joint operations to changes that emerge from within them or from their environment.
Constructing Suffix Array of Next-Generation Sequencing upon In-Memory Lookup Cloud and MapReduce

TeraSort [7] is a standard MapReduce sort which is applied as a benchmark to measure the time to sort terabytes of randomly distributed data. TeraSuffix [5] adopts TeraSort to construct suffix array for NGS (Next-Generation Sequencing). When using TeraSuffix to construct suffix array for NGS, as the intermediate data of the MapReduce framework contains multiple copies of suffixes, the shuffle of the intermediate data between map and reduce become a bottleneck. For a suffix can be represented by its index to the NGS Reads data, it’s no need to record suffix as the intermediate data and thus reduce the shuffle time. Disk-based Indexed TeraSuffix [6] adopts this index structure to represent a suffix and stores the NGS Reads data on disk. However, when constructing the suffix array, reduce tasks still need lots of random access from disk to retrieve suffixes for further processing. The massive disk I/O operations become a bottleneck. To increase the efficiency of the Disk-based Indexed TeraSuffix, in-memory lookup cloud (MLC) is proposed in this paper to store the NGS Reads data on the memory of remote servers in a cloud. When a map/reduce task needs to retrieve a suffix, it can access the suffix from the memory of MLC through the network. Experimental tests were performed to show that the access of suffix through network is outperformed than from disk. Experiments were also performed on Amazon Elastic MapReduce with the sequence of 20Gbp-Grouper (about 20Gbytes). It showed that the proposed architecture reduces the pre-processing time of data replication and the processing time of reduce tasks by 58% and 8%, respectively. It improves both the time and the space efficiency of TeraSort for constructing suffix array.
Back to the Feature, in Entailment Detection and Similarity Measurement for Portuguese

This paper describes a system to identify entailment and quantify semantic similarity among pairs of Portuguese sentences. The system relies on a corpus to build a supervised model, and employs the same features regardless of the task. Our experiments cover two types of features, contextualized embeddings and lexical features, which we evaluate separately and in combination. The model is derived from a voting strategy on an ensemble of distinct regressors, on similarity measurement, or calibrated classifiers, on entailment detection. Applying such system to other languages mainly depends on the availability of corpora, since all features are either multilingual or language independent. We obtain competitive results on a recent Portuguese corpus, where our best result is obtained by joining embeddings with lexical features.
Reversible image steganography using ROI & RONI

Reversible steganography allows to recover of original image without any distortion when the embedded secret message has extracted. This research was tested with four different image and one storage image. The sample image is divided into three type of region which are Region of Interest (ROI), Region of Non-Interest (RONI) and untouchable region. This research using the technique of finding the ROI and RONI of the cover image to find position to embed the message and recover the original image. During embedding process, the RONIs’ bits are stored into the storage image known as sample_image. Next, the ROIs’ bits are stored into RONI so that it can be recovered during extraction process. Sender select the x-coordinate and y-coordinate to embed the secret information into the ROI2. Sender also need embed the secret key in the RONI2 image which can help to secure the secret information. After that, stego-image was generated after ROI and RONI embedded. In extraction process, receiver need to extract the secret key to decrypt the secret message. For reversible process, ROIs and RONIs were reversed to original bits. Peak Signal-to-Noise Ratio (PSNR) value was used to measure the quality of stego-image and similarity of original image and recover image. The value of PSNR of the four selected sample image is between 52.60dB to 52.62dB. Histogram of original image, stego-image and recover image are generated for visual difference between original image, stego-image and recover image. In conclusion, this proposed method has proved a better approach compared to previous work in terms of selecting a position to embed by using ROI and RONI
Simple Hardware Implementation of Motion Estimation Algorithms

We present in the following work a hardware implementation of the two principal optical flow methods. The work is based on the methods developed by Lucas &amp; Kanade, and Horn &amp; Schunck. The implementation is made by using a field programmable gate array and Hardware Description Language. To achieve a successful implementation, the algorithms were optimized. The results show the optical flow as a vector field over one frame, which enable an easy detection of the movement. The results are compared to a software implementation to insure the success of the method. The implementation is a fast implementation capable of quickly overcoming a traditional implementation in software.
The Expert System for Generating Front-End Code

This paper describes the expert system which can create code for GUI in one or more programming languages based on a data dictionary. Data dictionary structures are used to create universal GUI structure that can be translated into a concrete code. Universal GUI structure is created using a set of defined rules that determine which UI component should be used to represent each field of a structure. This expert system creates form for each data dictionary structure.
User experience in automotive industry: user perspective on functionality and entertainment

The impact of technology is increasing in the automotive industry resulting in user experience to have a significant role in the industry. Previous studies have researched the use of user experienc ...
Structural Design of an Automatic Container Fixing Device for Use on Container Chassis

Containers loaded on trailers are fastened using a locking device called a twist lock, which is manually operated. There have been instances where a container can fall off a tractor-trailer as a result of improper or inappropriate locking or unlocking. In this paper, we discuss the weaknesses of the locking mechanism of existing twist locks. This paper suggests a new design for an automatic locking mechanism that can be used to develop a better locking system and reduce the risk of container loss. Finite element analysis was also conducted to identify the structural stresses on each component; it was determined from the finite element analysis results, under each load condition, that the minimum safety factor was 1.06-2.41 for each part. Thus, it was discovered that the components had a structural intensity that did not exceed the yield strength.
Scene Text Recognition: A Preliminary Investigation on Various Techniques and Implementation Using Deep Learning Classifiers

Recognizing text in scene images plays a vital role especially for applications dealing with environmental interactions. For the system to recognize the environment, textual regions present in them hold a great source of information. But the text recognition task in scene images is complicated due to various unavoidable clutter and distortion in the scene images. Font styling in scene images is also not regulated, and hence, there is a lot of touching between fonts as well. Prior to the recognition of text present in the scene image, identification of correct textual regions and extracting textual edges pose as tedious tasks. Inclusion of unwanted edge features in the task will deteriorate the accuracy of the model. In this work, various methodologies which have been proposed for the identification of textual regions, extraction of textual edges, and recognition of text in scenes have been reviewed. Also, a simple implementation of the same has been done using deep learning classifiers.
Teacher and Students Code Switching in EFL Classroom at the Second Grade of SMA PGRI I Kota Mojokerto

The aims of the study were (1) to describe what code are frequently; (2) to describe what code switching are used (3) to investigated why code switching are in the process of English and learning. In this study, the researchers conducted a research about phenomenon Code Switching in EFL Classroom. Code Switching is phenomenon the result from people used bilingual language or multilingual speaker. In this study, researchers used qualitative descriptive method to support the data researcher used theory Poplack and Hoffman to analyses in the teacher and students utterance at the second grade of SMA PGRI 1 Kota Mojokerto. The subjects of the research were 1 teacher and 19 students. This study used observation and unstructured interview to gather the data. The result indicated that the code are frequently used in EFL Classroom was English to Indonesia or Indonesia to English with 105 utterances. It can be concluded that this study found three kind of code switching there are tag switching, intra sentential and inter sentential code switching. Meanwhile in this study also found a few of reasons occurred code switching in EFL Classroom. There were to clearly meaning, get more attention, the student language, teacher and students proficiency.
[Fixed] USB iPhone Driver Tethering Connection Issues

Newer iPhone devices support tethering, which allows your iPhone to become an instant hotspot effectively. iPhone tethering is great until suddenly it ...
Syntactic recursion and theory-of-mind reasoning in agrammatic aphasia

This study investigates how aphasic impairment impinges on recursivity of language and theory-of-mind inferences.Results of linguistic tests showed that in Broca's aphasia syntactic recursion is substituted for theory-of-mind inferences on the base that linguistic system and theory-of-mind type reasoning interact with one recursion modul in human mind.
TETUN LANGUAGE MAINTENANCE IN EAST TIMOR FORMER REFUGEE COMMUNITY

This study was conducted with the aims of: (1) describing the use of Tetun Language in East Timor  former refugees community Manusak village and (2) describing the factors of Tetun Language’s maintenance in Manuasak village. This research uses the sociolinguistic approach, the method used is descriptive qualitative method. The results of the study show that: (1) Tetun is still survives so far as it has migrated for 20 years from its native land. Of the 132 informants interviewed, 86.36% of informants used Tetun Language  as a lingua franca with different age categories. For partner selection, 71.21% of informants use Tetun Language  when communicating with family members and neighbors. Then 58% of informants use Tetun Language when communicating with family members, neighbors, and coworkers, while 21.21% of informants use the language when communicatin with family members, closest neighbors and game friends. The topics chosen were: (1) 59.09% of informants chose topic about daily life activities, 9.1% chose topics about daily life and some topics that are related to work, 14.4% of informants chose topics about daily life, economic topics, political topics, religious topics, and work topics, 6.81% of informants chose topics about daily life, topics about education, economic topics, political topics, topics about religion, and topics about work, and 10 , 60% of informants chose topics about daily life, topics about education, religious topics and work topics. For the domains of using Tetun Language, then Tetun Language is used in the family domain, neighborhood and at the workplace. Next are the factors caused the maintenance of Tetun Language: loyalty to mother tongue, pride in using Tetun Language , family supporting environment and regional conservation.
Class Dojo As Indonesian Language Learning Media At Senior High School

Some of the problems in Indonesian language learning at senior high schools today are the lack of use of interactive learning media. This is because the Indonesian learning materials project on the mastery of contextual texts. Not a few teachers only use the text in textbooks. As a result, the manag
UWM Libraries Research and Course Guides: Citation Managers: Exporting from RefWorks

Includes information on how to select a citation management tool and how to transfer your library into it from RefWorks.
Bot detection on twitter

Twitter is one of the most popular social media platforms with 319 million monthly active users who publish 500 million tweets per day. With this popularity, spam accounts are also emerging for phishing on Twitter or spreading malicious software, advertising using shared URLs on tweets, following legitimate users, and attracting their attention, as well as handling trending topics to spread sexual content. In this article, the features of Twitter bot detection are presented. In addition, Twitter bot detection methods and tools are described. The aim of this study is to determine the best method by comparing and comparing the methods used in the literature for the detection of bot in Twitter.
PERANCANGAN DAN PENDAMPINGAN PENGELOLAAN SURAT BERBASIS KEBUTUHAN

The aim of devotion is (1) designing the letter management basedon need analysis of school; (2) training in implementing the result of design; (3) arranging the classification of archive; and (4) implementing the electronic letter management. The main priority of devotion is providing knowledge about handling of incoming and outgoing letter. In addition, the dedication is realizing to create the good administration for school, so that it can be supporting the accountability of school with authentic document. The implementation of devotion through socialization and training about management of letter based on need analysis. To overcome the obstacles of implemention in handling letter, we would evaluate from mentoring activity.
I am Jordan or Michelle-Depending On When You Met #IndieWeb Keynote

No interviews, barely getting email responses. Basically, I was ignored. In a minor fit of rage overnight, I copied my website, changed every reference to