Reviewerly/exHarmony huggingface dataset:
OutdoorSent

Opinion mining in outdoor images posted by users during different activities can provide valuable information to better understand urban areas. In this regard, we propose a framework to classify the sentiment of outdoor images shared by users on social networks. We compare the performance of state-of-the-art ConvNet architectures and one specifically designed for sentiment analysis. We also evaluate how the merging of deep features and semantic information derived from the scene attributes can improve classification and cross-dataset generalization performance. The evaluation explores a novel dataset—namely, OutdoorSent—and other publicly available datasets. We observe that the incorporation of knowledge about semantic attributes improves the accuracy of all ConvNet architectures studied. Besides, we found that exploring only images related to the context of the study—outdoor, in our case—is recommended, i.e., indoor images were not significantly helpful. Furthermore, we demonstrated the applicability of our results in the United States city of Chicago, Illinois, showing that they can help to improve the knowledge of subjective characteristics of different areas of the city. For instance, particular areas of the city tend to concentrate more images of a specific class of sentiment, which are also correlated with median income, opening up opportunities in different fields.
Network and Technology Trends Analysis of Public IT Industry

This study analyzed the technology trends and structural characteristics of Korean public IT industry, based on contracts data, bidding data, and request for proposal (RFP) documents of public IT projects from 2013 to 2017. A Latent Dirichlet Allocation (LDA) based topic modeling method and Social Network Analysis (SNA) techniques have been utilized. Three different types of networks have been identified: topic-based networks, collaborative networks and competitive networks. By using topic modeling, relations between topics and companies have been identified based on the contract and RFP data. Then, topic-based networks have been established by similarities of topics between companies. Collaborative and competitive networks were constructed by analyzing the contract and bidding data of public IT projects. The networks showed that the public IT industry has been mainly reorganized with mid-sized firms since 2013. Collaborative and competitive networks showed a similar network topology; they both consist of one gigantic component, a few fragmented, small components and isolates. It is also interesting to note that most of collaborative and competitive relations were weak ties, which means only a small fraction of companies either collaborate or compete several times during the period.
Process Improvement on German Language Class Learning Process in Students’ of Social Study Class2 grade X of SMAN 7 Ambon through Group Work Based Cooperative Learning

The action research aims to improve the quality of German teaching and learning of Social Study Class2grade X of SMAN 7 Ambon through group work based cooperative learning. The subject of the research are 23 students of Social Study Class2grade X of SMAN 7 Ambon. The research was conducted for 3 months from August to October 2018. The data was compiled through several instruments which are Classroom Observation and Assessment Rubrics to assess the quality of Teaching and Learning Process. These are conducted at the end of each cycle. The research is conducted in 2 cycles. Each cycles consist of 2 meetings. Each cycle contain steps such as action planning, implementation, observation, evaluation and reflection. Data is analyzed qualitatively. One of the aspect to be employed to improve the quality of German Language Teaching and Learning is the teacher’s ability to manage a class especially through the implementation of group work (social interaction). The result of the research proves that group work presents a good result toward the improvement of German language teaching and learning process. These are shown through the instrument appraisal from cycle 1 and 2 where improvement and progress are eminent.
Empathy Machines: Harnessing the humanitarian power of Portals

Combining the sophistication of modern communication technology with the simplicity of an unadorned mobile room, Portals are making it possible for people around the world to connect and recognize their shared humanity.
Killer Genes: a Legal and Ethical Analysis of the Forensic Use of Direct-to-Consumer Genetics

A new era of criminal investigation has dawned in which decades-old cold cases are being solved through the forensic use of consumer genetic databases. Law enforcement increasingly harnesses the power of these databases to which individuals have uploaded their DNA in order to explore and understand their genealogy, health, and other highly personal attributes. By surreptitiously accessing these databases, law enforcement can track down criminal targets based on their family relation to any individuals populating the databases. While a growing number of cases have figured prominently in law enforcement’s use of these databases—none has demonstrated the power and reach of these databases as much as the Golden State Killer case. As that case demonstrates, alongside this new genetic search capability, new legal and ethical concerns emerge. This article identifies, through the example of the Golden State Killer case, those concerns and proposes the kind of balancing test that a court encountering a legal challenge to the forensic use of direct-to-consumer databases should perform. This challenge has not yet been made, but when it is, the courts will have to balance the potent crime-solving benefits of genetic search technology against the privacy interests of the various affected individuals. In the process, this article also examines applicable legal doctrine from various cases in which courts have grappled with expansive and probing technologies and their threat to reasonable expectations of privacy. Central foci are the courts’ mounting discomfort with the long-established third-party doctrine and, correspondingly, their emerging embrace of the equilibrium-adjustment theory of Fourth Amendment jurisprudence pursuant to which courts redraw Fourth Amendment protections as technology becomes more invasive.
The Relationship between Work Motivations, Job Autonomy, Emotional Burnout and Job Satisfaction among Women Working in Tourism in Jordan

To date, the nature and scope of work for Arabic women in the tourism and hospitality has received scant attention in the research literature. Therefore, this study aims to examine the relationship between work motivations, emotional Burnout, job autonomy, and job satisfaction for a sample of females working in various sectors of tourism in Jordan. Quantitative methodology was employed, consisting of a self-administered questionnaire. Of 300 female employees, 212 have been selected for further analysis in this study. The main findings of this study indicate that there is a strong relationship between job autonomy and the satisfaction dimensions. The study further shows that intrinsic motivation was a good predictor for supervision, whilst extrinsic motivation correlates positively with co-workers. Also, this study has revealed that amotivation state is a weak predictor for job satisfaction dimensions. Implications for tourism practitioners are presented, along with different areas of future research.
Privacy preserving query model using inverse laplacian differential technique

Digitalization of data has proven its competent edge in the present digital era, leading to aggregation of mass amounts of data. This segregated data is made expendable by discovering interesting patterns made possible by "Data Mining". Setting apart its perks, it possesses a discernible intimidation of outpouring personal information of data owners to anonymous resources. As always privacy is a prime issue of concern, On the other hand trading absolute privacy for loss of certainty of a query may not produce efficient patterns like in in-depth analysis of the source data sets. To maintain a balance among the above mentioned areas of interest "Privacy Preserving Data Mining (PPDM) using various privacy techniques is employed. The proposed work potentiates the working of privacy protection technique namely differential privacy using privacy parameter ε with heterogeneous adaptable method. In addition, this framework provides a basis for working with the inverse laplacian data distortion for better privacy protection in an interactive query model.
MIXTURES OF TRAINED REGRESSION CURVESMODELS FOR HANDRITTEN ARABIC CHARACTER RECOGNITION

In this paper, we demonstrate how regression curves can be used to recognize 2D non-rigid handwritten shapes.Each shape is represented by a set of non-overlapping uniformly distributed landmarks.The underlying models utilize 2nd order of polynomials to model shapes within a training set.To estimate the regression models, we need to extract the required coefficients which describe the variations for a set of shape class.Hence, a least square method is used to estimate such modes.We proceed then, by training these coefficients using the apparatus Expectation Maximization algorithm.Recognition is carried out by finding the least error landmarks displacement with respect to the model curves.Handwritten isolated Arabic characters are used to evaluate our approach.
The blended learning techniques in technical higher education

Nowadays systems can optimize the presentation of the course’s content, suggesting next steps in subjects studying, dynamical planning of individual lectures with lecturers for students with special needs, and even create timetables of school buses accordingly to the time of courses running. We argue that massive open online courses created in Ukrainian by leading specialists in their fields and their implementation to the educational process can give students an opportunity to get up-to-date knowledge, a chance to study regardless of their financial state or an opportunity to enrol to the leading universities.
Informative Content Extraction through Key Frames

Nowadays, a huge amount of multimedia data is available on internet. As there is much redundancy, we can’t go through all this data. For various purposes this data is browsed, retrieved and processed. But when time and speed constraints are taken into consideration, accessing the data is very inefficient. Video Summarization is one of the way which makes it possible to give non-redundant, effective, feature based abstract view of the video which is covering entire contents in terms of the selected key frames. Feature based selected frames will lead to the summarized video. There are two main technique of video summarization i.e. key frame based and video skimming. This paper focuses on key frame extraction using video abstraction, visual descriptors and bag of visual words approach.
Google Sites vs WordPress Comparison: Which is Better?

Your blog is finally listed on Google, and it is thriving. There’s a massive upswing in traffic, and you are ready to really take flight. Your niche is well established, and you’ve got a great domain name purchased and ready to activate.
Data-Centric Technologies: Patent and Copyright Doctrinal Disruptions

Data-centric technologies create information content that directly controls, modifies, or responds to the physical world. This information content resides in the digital world yet has profound economic and societal impact in the physical world. 3D printing and artificial intelligence are examples of data-centric technologies. 3D printing utilizes digital data for eventual printing of physical goods. Artificial intelligence learns from data sets to make predictions or automated decisions for use in physical applications and systems. 3D printing and artificial intelligence technologies are based on digital foundations, blur the digital and physical divide, and dramatically improve physical goods, objects, products, or systems. Data-centric technologies have crossed national borders and rapidly attained adoption, even while patent law and copyright law have been slow to respond. This Article focuses on 3D printing and artificial intelligence technologies and their doctrinal disruptions through a conceptual matrix formulation. It describes how recent litigation over data-centric technologies has repercussions for creators and inventors in the protection of data-centric innovations. Data-centric technologies’ doctrinal disruptions necessitate reevaluation of copyright and patent doctrines, which were spawned in an era of human/physical considerations to now including human/digital, non-human/physical, and non-human/digital considerations. The future of patent law and copyright law will be dominated by non-human/digital considerations and will impact innovation policy.
Sinergi Metode Student Team Achievement Division (STAD) dan Tutorial pada Mata Kuliah Kalkulus I

Penelitian ini bertujuan untuk mengetahui proses dan hasil dari penggunaan metode Student Team Achievement Division (STAD) dan tutorial berdasarkan hasil belajar serta tingkat kepuasan mahasiswa pada mata kuliah Kalkulus 1. Pengambilan data diperoleh dengan metode tes melalui ujian kompetensi (UK), UTS, dan UAS. Hasil belajar tersebut dianalisis menggunakan uji Kruskall Wallis dan post hoc test untuk mengetahui perbedaan rata-rata yang signifikan diantara sampel yang diambil. Sementara tingkat kepuasan dianalisis menggunakan text mining dari kuesioner yang diberikan berdasarkan barplot dan wordcloud yang diasosiasikan dengan kata yang dominan muncul serta evaluasi keseluruhan dari tingkat kepuasan dan saran yang diberikan. Berdasarkan hasil belajar, diperoleh nilai rata-rata kelas eksperimen lebih tinggi dibanding kelas kontrol. Sementara dari tingkat kepuasan masuk dalam kategori puas hingga sangat puas. Lebih jauh metode ini dapat digunakan sebagai alternatif metode pembelajaran untuk matakuliah lain yang khususnya berkaitan dengan konseptual.The purpose of this study is finding out how the processes and results of using the Student Team Achievement Division (STAD) and tutorial methods based on the learning outcomes and the student’s satisfaction level at Calculus 1 class. Data are provided through the competency tests (UK), mid term exam (UTS), and final exam (UAS). The learning outcomes is analyzed using the Kruskall Wallis test and the post hoc test to find out the significant differences in the samples average. The satisfaction level is analyzed by a text mining technique: barplot and wordcloud associated to other dominant words as well as the overall evaluation of the students’s satisfaction level and their suggestion. The learning outcomes analysis shows that the average exam scores of the experimental class is higher than the control class. Mean while the students’ satisfaction level is categorized as satisfied at both of the STAD and tutorial methods. Furthermore this method can be used as an alternative learning method in other subjects which are considered as conceptually heavy.
Sul contenuto delle DAT tra autodeterminazione del paziente e decisioni di altri: profili civilistici

The paper aims at highlighting the discrepancy that could emerge between the patient’s will regarding his/her health treatment and the decision taken by a third party, in the event that the former is not able to consent. The paper proposes to integrate the act with external elements through the so-called “relatio”, with the purpose to preserve the patient’s self-determination as well as the third party’s function.
GSU Library Research Guides: Network Analysis: Network Density

This guide provides information about ego and full network analysis and houses Network Analysis Workshop 1 and Network Analysis Workshop 2 materials. This page has information about network density, calculations, and interpretations
Kattobase: The linguistic structure of Japanese baseball chants

On the basis of extensive research, Tanaka (2008) develops a thorough and insightful analysis of Japanese baseball chants of the form kat to ba se X - X - X "let it fly, hit a homerun, X-X-X!"where "X-X-X" is a rhythmic adaptation of a batter's name (e.g., Kakefu (掛布) &gt; kaa-kee-fuu). The system is of surprising complexity since the kind of rhythmic adaptation a name receives depends in an intricate way on its length. Tanaka shows that a set of three rules is necessary where, for example, the rhythmic alignment of the right edge of the input sometimes targets the last mora (i), sometimes the last syllable of the input (ii, iii):(i) up to 3 moras: Etoo (江藤)&gt;ee-too-oo, *ee-ee-too, Baasu (Bass)&gt;baa-aa-suu, *baa-suu-uu(ii) 4 moras: Kiyohara (清原)&gt;kii-yoha-raa, *kiyo-haa-raa, Ichiroo (イチロー)&gt;ii-chii-roo, *ii-chiro-oo(iii) 5 moras and more: Makudonarudo (MacDonald)&gt;makudo-naru-doo, *maku-donaru-doo, Oosutin (Austin)&gt;oo-osu-tin, *oo-suu-tin, *oo-suti-nnThis paper develops a new analysis within Optimality Theory where the three distinct patterns emerge from a single and unified set of ranked and violable constraints: Depending on the length of the input, different input-output mappings are selected as optimal.Tanaka, Shin'ichi. 2008. Rizumu/akusento no "yure" to on'in/keitai-kouzou [fluctuation in rhythm and accent and phonological and morphological structure]. Tokyo, Japan: Kurosio Publishing.
Interview as a Learning Technique in Speaking Subject: Studentsâ€™ Perspective

Speaking is one of the important skills of language. In teaching speaking, there are some techniques that can be used by the lecturers. One of the is interview technique. Interview is a communication process that uses questions and answers in response. Interview is effectively used in learning speaking because it can stimulate the brain to think. In the interview process, the interviewer reveals the question and the interviewee listens then responds to the question. This study aims to determine the perspective of students about interview as a learning technique on speaking subject applied by the lecturers. This is a qualitative descriptive study. Data were collected through questionnaires and interviews on research subjects. The data collected were analysed qualitatively by describing the phenomena occurring in the field during the course of the study. The subjects of this research were sixth semester students majoring in English Education, Faculty of Languages and Literature, Universitas Negeri Makassar, who have passed the Speaking subject. Based on the results of the study, interview is a good technique in learning speaking. Some students argued that through interview technique, speaking skill of the students would increase. In addition, through interview technique, someone could socialize with others because of the interaction. This technique was also believed to increase students' confidence in speaking. Through this technique, students would be trained in the use of English in everyday life, for example when applying for a job.
Exploring design alternatives in game development engines using visual programming

We present BPAlt ??? a system which allows game developers to create and manage alternatives for Unreal Engine???s Blueprints Visual Scripting System. BPAlt allows the user to create, save, organize and swap Blueprint alternatives for rapid testing and experimentation. We conducted a user study with 10 moderately skilled participants where we compared BPAlt to Unreal Engine alone for prototyping alternatives of game objects and mechanics in four different games. We found evidence that supporting alternatives with BPAlt is beneficial in the game developers??? workflow. In response to the results of the user study we implemented new features for selectively merging parts of one alternative Blueprint to another. We also implemented an interface for alternative scenarios.
Сучасні інформаційні сервіси бібліотек закладів вищої освіти: вікі-технології.

The article covers new aspects of the activity of libraries of institutions of higher education related to the use of wiki-technologies. It describes the experience of scientific and technical library of Vinnytsya National Technical University in mastering wiki-technologies for the purpose of viewihg scientific achievements of university society in Wikipedia.
Innovative role of the regional educational system: Response to the challenges of the new economy

Industry 4.0 has a significant impact on the economic and social sphere of society. Changes in the economic system give rise to a number of social risks associated primarily with the labor market, occupational structure and employment. In the article the social risks of the digital economy, identifies threats and challenges to the education sector are systematized. Contradictions of the functioning of educational institutions are described. The innovative role of the educational system, which it can play in regional development, is defined. Innovative approaches to the development of the education system based on existing experience are proposed.
THE EFFECTS OF TEACHING TECHNIQUES AND LANGUAGE ATTITUDE TOWARDS STUDENT’S SPEAKING SKLL (EXPERIMENT AT PRIVATE UNIVERSITY IN EAST JAKARTA)

The purpose of this study was to: determine the interactional effects of teaching technique and language attitude towards student’s speaking skill; determine the effect of teaching technique towards student’s speaking skill; determine the effect of language attitude towards student’s speaking skill; that were taught by role plays and filling information gap (both are communicative language teaching) to the students with different language attitudes. The research method used was experimental one. Sample size of 60 students consisting of 30 for experimental class and 30 for control class taken from Private University in East Jakarta, and the sampling technique used is cluster sampling. Research instruments used were the test to distinguish student’s language attitude in the form of preferential test (20 items) and speaking skill in the form of oral test (5 items for scoring), that have been tested valid and reliable with coefficient of reliability at 0.839 and 0.705. The research uses two-ways ANOVA test. The results showed: 1) There is a significant effect of teaching technique towards student’s speaking skill, as F observed = 95.553 &gt; F table = 2.77 and Sig = 0.000 &lt; 0.05. 2) There is a significant effect of language attitude towards student’s speaking skill as F observed = 10.617 &gt; F table = 2.77 and Sig = 0.002 &lt; 0.05. 3) There are significant interactional effects of teaching technique and language attitude towards student’s speaking skill as F observed = 8.199 &gt; F table = 2.77 and Sig = 0.006 &lt; 0.05. 4) The group of students with positive language attitude would achieve more in speaking skill compared to another groups of language attitude if taught by using role plays technique. The results contribute most to the increasing of student’s speaking skill. Keywords : Teaching Technique, Language Attitude, Speaking Skill
DISSEMINATION OF THE CONCEPT OF PERSONAL INDIVIDUATION IN MODERN PHILOSOPHY AND PSYCHOLOGY (THEORETICAL AND HISTORICAL OVERVIEW OF THE CONCEPT DEVELOPMENT)

The article aims to reveal the concept of Individuation. Individuation is perceived as a conscious decision to constantly create one’s qualitative life by realizing one’s creative strengths and personal human needs. It can and is also perceived as a (self)educational process, which occurs in an educational environment that is suitable for the self-expression and individuation of a person. The following article reveals the philosophical and psychological approaches towards the concept of personal individuation. The concepts of individuation of the following authors are being reviewed: I. Kant, F. Schiller, F. Nietzsche, J. Dewey, R. Rorty, G. Jung, C. Rogers and A. Maslow.
Guides: Carpentries @ Oklahoma State University: Workshop Resources

Information about Data and Software Carpentries workshops and the Carpentries community Instructions for downloading software and cheatsheets