Reviewerly/exHarmony huggingface dataset:
Hashtag Politics: A Twitter Sentiment Analysis of the 2015 Canadian Federal Election

We developed a split plot design model for analysis of sentiment toward federal political parties on the social media platform Twitter in the weeks prior to the 2015 Canadian Federal Election. Data was collected from Twitter’s Application Programming Interface (API) via statistical program R. We scored the sentiment of each Twitter message referring to the parties and tested using ANOVA. Our results suggested that the Liberal Party and New Democratic Party had more positive sentiment than the Conservative Party. Actual seat wins coincide with our results for the Liberal Party (which won 148 new seats) and the Conservative Party (which lost 60 seats), but positive sentiment for the New Democratic Party did not correspond to seat wins.
Articulate Studio for Teaching and Learning Language

The development of educational technology produces various educational concepts and practices that utilize media as a learning resource. Efforts to improve the quality of education have a variety of ways and in various components of education. To realize functions and achieve educational goals, improving the quality of learning in class is an important thing. The use of Articulate Studio in language teaching and learning is one of various ways as an alternative medium in the development of educational technology. Language classes only have activities once or twice a month that make students feel unable and the textbooks used there only provide limited practice for listening. To help teachers not only read listening scripts from books and use LCD, Audio, and Computer Laboratories available at school.
تأثير محو الأميات الكتابية بطريقة الملاحظة نحو ترقية مهارة الكتابة في الصف الأول بمدرسة المتوسطة الإسلامية المتفوقة "الكهف تارك سيدووارجو

Language learning in most schools is still conventional, especially during kitabah learning. Teacher only uses the tarjamah method and provides objective training to students, so that student’s understanding is still abstract and passive in kitabah learning. Therefore, researchers apply writing literacy with an observation method that aims to improve student’s writing skills. The type of research that uses in this study is quantitative research with experimental classes to determine the causes and consequences of the application of writing literacy with the observation method. The research subjects were class VII the number of students there were 40 students and the research instruments used are: 1) Observations, 2) interviews, 3) documentation, and 4) tests. The results of this study indicate that the influence of writing literacy application with the observation method in improving student’s writing skills.
AutoOverview: A Framework for Generating Structured Overviews over Many Documents

This article is an exposition of a recent study on automatic generation of a structured overview (SOV) over a very large corpus of documents, where an SOV is organized as sections and subsections according to the latent hierarchy of topics contained in the documents. We present a new framework called AutoOverview that includes and extends our previous scheme called NDORGS (best paper runner-up in ACM DocEng’2019) [47]. Different from the standard NLP task of generating a coherent summary typically over a handful of documents, AutoOverview needs to balance between two competitive objectives of accuracy and efficiency over thousands of documents. It incorporates hierarchical topic clustering, single-document summarization, multiple-document summarization, title generation, and other text mining techniques into a single platform. To assess the quality of an SOV generated over many documents, while it is possible to rely on human annotators to judge its readability, the sheer size of the inputs would make it formidable for human judges to determine if an SOV has covered all major points contained in the original texts. To overcome this obstacle, we present a text mining mechanism to evaluate topic coverage of the SOV against the topics contained in the original documents. We use multi-attribute decision making to help determine a suitable suite of algorithms to implement AutoOverview and the values of parameters for achieving a satisfactory SOV with respect to both accuracy and efficiency. We use NDORGS as an implementation example to address these issues and present evaluation results over a corpus of over 2,000 classified news articles and a corpus of over 5,000 unclassified news articles in a span of 10 years obtained from a search of the same keyword.
The effect of leadership style on innovation with regard to mediating role of commitment and organizational climate

The effect of leadership style on innovation with regard to mediating role of commitment and organizational climate
Proof of three divisibilities of Franel numbers and binomial coefficients

We confirm three conjectures of Guo and Zeng on Franel numbers and binomial coefficients. Furthermore, we prove more refined divisibility results for a large class of polynomial sequences.
Privacy Preserving for Cloudlet based Healthcare Data Using NTRU and Bloom Filter

Healthcare social platform, together with Patients LikeMe, can achieve data from other similar patients through data sharing in phrases of person’s own findings. Though sharing scientific data on the social community is useful to both sufferers and doctors, the sensitive records is probably leaked or stolen, which reasons privacy and security issues without efficient protection for the shared data. In this paper, I increase a novel healthcare system through utilizing the controls of cloudlet along with utilize Bloom filter hash intended for protection. The purpose of cloudlet consist of confidentiality defense, information distribution &intrusion detection. The information build up through wearable gadget be transmit toward cloudlet. That information is within adding in the direction of the distant cloud in which medical doctors is able to acquire the accurate of access to illness study.
Counting the Number of Active Spermatozoa Movements Using Improvement Adaptive Background Learning Algorithm

The most important early stage in sperm infertility research is the detection of sperm objects. The success rate in separating sperm objects from semen fluid has an important role for further analysis. This research performed the detection and calculation of human spermatozoa. The detected sperm was the moving sperm in the video data. An improvement of Adaptive Background Learning was applied to detect the moving sperm. The purpose of this method is to improve the performance of Adaptive Background Learning algorithm in background subtraction process to detect and calculate moving sperm on the microscopic video of sperm fluid. This paper also compared several other background subtraction algorithms to conclude the appropriate background subtraction algorithm for sperm detection and sperm counting. The process done in this research was preprocessing using the Gaussian filter. The next was background subtraction process, followed by morphology operation. To test or validate the detection results of any background subtraction algorithm used, the foreground mask results from the morphological operation were compared to the ground truth of moving sperm image. For visualization purposes, every BLOB area (white object in binary image) on the foreground were given a bounding box to the original frame and the number of BLOB objects present in the foreground mask were counted. This shows that the system had been able to detect and calculate moving sperm. Based on the test results, Adaptive Background Learning method had a value of F-measure of 0.9205 and succeeded in extracting sperm shape close to the original form compared to other methods.
ok PENGUKURAN PERFOMANSI GAME ON LINE DI DAERAH RURAL DALAM VARIASI WAKTU DAN KARAKTER HERO PADA MOBILE LEGEND BAMBANG

The use of online games in the Industrial 4.0 eras continues to grow to pamper its consumers. On the consumer side wants to get the best service from providers. This publication is describing the data and connection requirements of online games specifically for Mobile Legend Bam Bang in terms of telecommunications performance. Measurements were made using parameters of throughput, packet loss, and delay. Measurement variations are carried out according to time. The busy time used is 6 am to 11 pm. The results are in accordance with general hypotheses, but there are some things that are anomaly measurements.
The role of authentication in the IoT systems

Currently, more and more opportunities are opening up for optimal resource management.A new technologythe Internet of things -allows one to measure and optimize processes that span many areas of human life.However, "smart" devices of the Internet of things are often attacked by cybercriminals.Thus, an analysis of the security of the Internet of things was carried out using the example of implementing a home automation system -Smart Home.In the framework of this problem, the threat model of each component of the system is considered and the logical form of a formalized representation of this threat model is given.Based on the identified vulnerabilities, measures have been developed aimed at enhancing the security of the Smart Home system.In the course of the analysis, it was found that in order to solve the problem, a reliable access and authentication system based on cryptography is necessary.In addition, the task of ensuring security should not be isolated from the authentication system; it requires a comprehensive solution.
BIBFRAME Basics: A Crash Course

Dennis Christman taught a half-day pre-conference workshop on BIBFRAME at NASIG’s 34th Annual Conference. The workshop, entitled “BIBFRAME Basics: A Crash Course,” covered the core concepts of data models, an overview of BIBFRAME, semantic technologies, and how to create BIBFRAME records using the Library of Congress BIBFRAME editor. Attendees were given a URL to the slides at the end of the presentation (bit.ly/2Z39Nbs).
Visual cryptography and steganography in high quality digital images and audio files

Visual cryptography is a technique that consists in dividing an image into other n images (denominated shares), so that only with a superposition of k ? n of them the input image can be reconstructed. In the method proposed by Naor and Shamir, this superposition can be digitally made, through software, or physically, printing the shares in transparencies and then stacking them. However, it is limited to operating with binary images. In this work, a technique of visual cryptography specific for the digital context is developed, with the advantage of operating in monochromatic and colored images, given that little modifications would be necessary to functioning in deeper images and even audio files. The similarities between the original and reconstructed images from the shares were superior to 97% in all the experiments conducted. In addition, techniques of steganography are employed so that the shares have visual meaning, differently from what happens with the method proposed by Naor and Shamir, in which they are visually random. Both approaches were compared and the proposed method demonstrated to be robust to digital applications.
DEVELOPMENT OF PROFESSIONAL SELF-DETERMINATION OF TEENAGERS

The article dwells on the problem of teenagers' professional self-determination as the readiness to making choice of the profession. Psychological factors of professional self-determination of high school students are defined and theoretically substantiated. Psychological properties are investigated, the means of which is the formation of factors of senior school students’ professional self-determination. In our research by professional self-determination we mean a stable, value-oriented complex of professionally important traits and personality traits, which is characterized by a certain structure, determines the readiness of high school students to choose a profession and is formed by a number of psychological factors. We prove that the set of psychological factors of professional self-determination of high school students has a nonlinear character and multi-level structure. The purpose of the publication is to investigate the psychological factors of professional self-determination and to substantiate the need to introduce a program of psychological and pedagogical support for the development of professional self-determination of high school students. As a result of the research psychological factors of professional self-determination of high school students were established: actual motives; sufficient level of development of volitional regulation of personality; locus control; a sufficient level of the formation of reflectivity development. The conducted psycho diagnostics revealed the immaturity of psychological factors of professional self-determination among high school students; unreadiness of teenagers to make an independent, conscious professional choice. This situation requires targeted correction through the introduction of a program of psychological and pedagogical support.
Il sistema nominale italiano e polacco a confronto: riflessioni sulle categorie grammaticali di genere e caso

The present study features a description and comparison of the Italian and Polish nominal systems.Our tertium comparationis are two grammatical categories: gender and case.Gender is morpho-syntactically coded in both languages; case, is morphologically coded only in Polish, while in Italian it is predominantly expressed by the use of prepositions.Focusing on the noun class, we contrastively examine the ways and means used to express the two grammatical meanings.In particular, we compare grammatical meanings expressed by morphological and syntactic cues.As a multifaceted category, grammatical gender classifies Italian and Polish nouns and co-regulates the morpho-syntactic agreement between sentence constituents (controller-target relation), contributing to the decoding of an internal text structure.The morphological case variation of Polish nouns (inflection) is often reinforced by syntactical markers; thus, case coding in Polish occurs both in synthetic and analytic ways.In contrast, Italian uses only analytic means to mark the grammatical meaning of case.The two linguistic systems under examination exhibit a similar formal organisation and expressive cues but apply them in different proportions.
Quality Prediction of Web Services Based on a Covering Algorithm

Service-oriented architecture (SOA) is widely used, which has fueled the rapid growth of Web services and the deployment of tremendous Web services over the last decades. It becomes challenging but crucial to find the proper Web services because of the increasing amount of Web services. However, it proves unfeasible to inspect all the Web services to check their quality values since it will consume a lot of resources. Thus, developing effective and efficient approaches for predicting the quality values of Web services has become an important research issue. In this paper, we propose UIQPCA, a novel approach for hybrid User and Item-based Quality Prediction with Covering Algorithm. UIQPCA integrates information of both users and Web services on the basis of users’ ideas on the quality of coinvoked Web services. After the integration, users and Web services which are similar to the target user and the target Web service are selected. Then, considering the result of integration, UIQPCA makes predictions on how a target user will appraise a target Web service. Broad experiments on WS-Dream, a web service dataset which is widely used in real world, are conducted to evaluate the reliability of UIQPCA. According to the results of experiment, UIQPCA is far better than former approaches, including item-based, user-based, hybrid, and cluster-based approaches.
Peningkatan Pemahaman Kurikulum 2013 bagi Guru Sekolah Dasar

This community service activity aims at developing skills for elementary school (SD) teachers of Muhammadiyah Sirojuddin in using information technology media, namely Microsoft Excel to process the data of the assessment result to the report in accordance with curriculum 2013. The method used was through information technology training divided into three stages, namely: (1) description making of each grade on the fields of affective, cognitive, and psychomotor; (2) submitting grade of affective, cognitive, and psychomotor fields; (3) converting grade from number to descriptive form. The community service was carried out in six times of meetings with 17 teachers of SD Muhammadiyah Sirojuddin. The result of the service community are 15 teachers are helped in understanding curriculum 2013 and grade conversion process based on Microsoft Excel program. The result of the descriptive grade is the one that will be benefitted by the teachers as data input in the report in accordance with curriculum 2013.
"Bits and Pieces" to Improve the Students' Writing Skill: Using Educational Game as an Approach to Teach Descriptive Text

Students in Indonesia who learn English as a Foreign Language (EFL) encounter problems in learning how to write in English. Not a novel problem in the least, but the more connected the world is becoming due to the availability of information and communication technologies (ICT). This study aims to address the need to improve the generation’s English skills, lest they are left behind the moving era. This study is a classroom action research (CAR), using a test, observation, field note, and interviews as the research instruments. Twenty-nine middle school students were taught to produce descriptive texts using the approach of an educational game called Bits and Pieces. The results showed that the game improved students’ average scores in writing descriptive text from 70.12 (cycle I) to 79.75 (cycle II) as students’ were unanimously interested in the strategy, much more so than traditional approaches.
RANCANGAN BANGUN KOMIK SEJARAH PERSIAPAN KEMERDEKAAN INDONESIA PADA MATA PELAJARAN IPS di SD

Presentation of historical material in social studies learning in elementary schools, in general, still uses media in the form of textbooks. Not many media are available so learning activities become menotonous and unattractive. The presence of media is very important in the learning process. This study aims to determine the feasibility of comic-based learning media media on historical concepts in social studies in grade V elementary school. This research is a development research in 4 stages of implementation, namely research and information gathering, planning, developing the initial form of the product, and validating. The results of the evaluation of comic media are shown by an average score, namely material expert I at 88% with a very decent category, material expert II at 90.33% with a very decent category, media expert at 95% with a very decent category. Based on the results of expert tests, educators and limited trials, comic media in social studies subjects in elementary schools are in the very feasible category and can be used as learning media.
Studying the Privacy Issues of the Incorrect Use of the Feature Policy

In addition to rendering HTML and providing Web access, Web browsers offer auxiliary features (e.g., camera, geolocation, microphone etc.) that can be used while browsing.Some of these features access sensitive information such as camera image, microphone, and location data.The common behavior of modern browsers when a website tries to access one of these features is to prompt a permission dialog for the user to allow or deny this request.The user's response may be recorded by the Web browser and remembered for that website.However, websites may include third party resources in the form of HTML iframes.Recently, the W3C introduced the Feature Policy to restrict which origins contained in a website get access to which features.To prevent the leakage of sensitive information, both Web developers and browser developers have to handle feature usage carefully.Web developers need to ensure that permissions are only given to trustworthy websites and Web browser developers have to implement the Feature Policy correctly.A wrong implementation from either one of these parties could cause privacy leaks, such as an untrusted iframe getting access to the user's webcam.In this paper, we present a study of nine Web browsers and their behavior regarding feature usage in websites, and show that five of them (Chromium based browsers) are open to social engineering attacks that may lead to sensitive information disclosure to untrusted parties.We identify the root causes of this problem as two-fold: Web browsers prompting misleading dialogs when asking for permissions and the wrong use of Feature Policy by websites.
The validity of some acoustic measures to predict voice quality settings: trends between acoustic and perceptual correlates of voice quality

The present study aims at investigating the power of acoustic measures to predict voice quality settings detected perceptually.The corpus was composed by speech samples recorded by 60 subjects.The audio samples were analyzed in PRAAT by means of the SG Expression Evaluator Script (Barbosa, 2009), which extracts f0 and f0 first derivate, intensity, spectral tilt and long-term average spectrum measures.The same samples were perceptually evaluated by means of the Voice Profile Analysis Scheme for Brazilian Portuguese (BP-VPAS).The methodological procedures made it possible to identify the clusters related to the acoustic measures group and that of the perceptual judgement results (cluster analysis) as well as to correlate these two groups (canonic correlation analysis).
Prediction of Function Removal Propagation in Linux Evolution

Software studies on the function level, which is inherently different than coarse-grained investigations, contributes to the deep understanding of the laws of software internal evolution. This paper focuses on the life cycle distribution and the propagation behaviour of removed functions in Linux kernels. After an in-depth analysis of 300 Linux kernels, from Version 2.6.12-rc2 to 3.7-rc6, we found that most removed functions have relatively low life cycles, which indicates that many functions are likely to be removed between two consecutive versions. Our experimental results also show that function removal propagation is closely related to the file containing the functions, function call dependency, and historical information. This motivated us to propose a few heuristics to predict function removal propagation, which are based on the file position, call graph, and historical information in git. Furthermore, we analyzed the impact of removed functions on software structure and found that Linux kernel has a strong resistance to function removal. The life cycle feature and the prediction heuristics presented in this paper can be utilized to facilitate the maintenance of large-scale complex software systems.
The A6S Information Literacy Model for Digital Age Library instruction

Information literacy has became a central issue of modern society. The rapid growth of information technology (IL) and the emergence of new digital devices not only require changes in the concept of IL itself, but also in practice. This paper discusses findings of study of design and development research with the goal of study was to develop the development of blended model of information literacy instruction (ILI) for higher education library instruction. Data were collected through a checklist, pretest, posttest, and attitude questionnaire throughout a series of formative evaluation stages. The data obtained were analyzed qualitatively and quantitatively. The result showed that the A6S (analyze, select, search, sort, synthesize, share, and self-evaluation) information model effective to enhance students’ IL. offered recommendation regarding implementation in library instructions