Reviewerly/exHarmony huggingface dataset:
PENERAPAN METODE STAD (STUDENT TEAM ACHIEVEMENT DIVISION) PADA PEMBELAJARAN MENULIS TEKS BIOGRAFI

Language skills have four skills, namely listening, reading, writing and speaking. The students 'diverse abilities in material capture during the learning process, make educators have to be able to set methods that are suitable for students' abilities. In addition to the selection of methods, the lack of desire of students during biogafi learning is due to the lack of vocabulary that makes it difficult for students to put their ideas into writing. By creating biogafi texts real students can help increase vocabulary and sensitivity. For this reason, through routine education and writing practice, it can help students increase their vocabulary. Biogafi writing is able to be done according to students' varied abilities. With the STAD method (Student Team Achievement Division) students can write biogafi with the same understanding through their respective abilities. This study used a pre-experimental design method. The pre-experimental research design applied was one-group pretest-posttest design. This design consists of one class to measure the capabilities of students before and after being treated. From the results of data analysis on the ability to write biographical texts from the scores of students' knowledge and skills in writing biogafi, it was concluded that students of class X of SMK Negeri 4 Padalarang were able to make biogafi texts better by learning using the STAD method can be seen from the average results before using the method STAD (71.6) and the average after using the STAD method (82.76) which has been tested for normality, homogeneity and significant differences.
A Modern Technique for Unauthorized Human Detection and Intimation

Technological advancements are inevitable and the field of IoT is no exception.The utilization of the technologies in various sectors is highly employed.Even though we use technology in various sectors, the employment of technology for security purposes is very low.The Existing security in various places only CCTV is used for monitoring and recording.Even there are existing security systems where an alert is sent via an email which requires a stable internet connection.It is unlikely that we expect the user to be always connected to an internet source.In the Proposed system, authorized user's faces will be trained and stored in a Database.Initially, when an unknown/known person enters in the zone the camera module will capture the intruder's face.The captured intruder's face will be compared with the trained faces in the database.If the person's face doesn't match, the micro controller will send an alert SMS to the recognized user and also the intruder's captured image will be E-mailed to the user.The authorized user should acknowledge the SMS message.If he fails to acknowledge the message within a threshold time limit, an alert call will be made to the concerned user.By this the user gets intimated in real time.
Ultimate Levelings with Strategy for Filtering Undesirable Residues Based on Machine Learning

Ultimate levelings are operators that extract important image contrast information from a scale-space based on levelings. During the residual extraction process, it is very common that some residues are selected from undesirable regions, but they should be filtered out. In order to avoid this problem some strategies can be used to filter residues extracted by ultimate levelings. In this paper, we introduce a novel strategy to filter undesirable residues from ultimate levelings based on a regression model that predicts the correspondence between objects of interest and residual regions. In order to evaluate our new approach, some experiments were carried out with a plant dataset and the results show the robustness of our method.
The Impact of Knowledge Management by Technological Tools and Electronic-means on Academic Staff Performance in Palestinian Universities

This study aims to establish how the management of knowledge through technological and electronic means, impacts the performance of staff within Palestinian universities. Specifically, the study focusses on the West Bank area of Palestine, where 11 universities are located. A total of around 3000 individuals are employed by these universities, and of these, a total of 282 responded to the survey that was used to collect data. Analysis of this data has revealed a positive relationship between the independent and dependent variables that apply. This pattern suggests that the availability of technological and electronic devices does positively affect how staff within universities perform. The study discusses the implications of this and concludes that investment in tools would aid progress within the universities that were considered.
Linked Data for the Humanities: methods and techniques

So far, the impact of Linked Data in the Library and Cultural Heritage domain has been significant and testified by large scale efforts such as the one of Europeana. However, at a closer look, the impact of Semantic Web research on the Humanities has been discontinuous. Foundational techniques and methods developed by the SW community are still perceived as esoteric by many DH practitioners. In addition, more recent approaches have not been disseminated yet in the DH community. we propose a half-day tutorial on LD methods and techniques, to present the theoretical and technical foundations of Linked Data, to provide a reference collection of reusable tools to boost an effective adoption of LD in DH projects, and to showcase a set of innovative methods for extracting and linking data from texts.
The Mediating Effect of Events and Experiences and Word-of-Mouth Marketing on Telecommunication Companies in Jordan

This paper aimed to investigate the mediating effect of events and experiences and word-of-mouth marketing on telecommunications companies in Jordan. The study also attempts to determine the role of demographic variables (gender, qualifications, experience, and career level) in mediating the effect of word-of-mouth marketing and events and experiences on the relationship between consumer trends and marketing effectiveness. The researcher used quantitative method and collected the data using the field survey method. Using the quota sample, the researcher divided a study population (Orange, Zain and Umniah) according to the number of employees in companies' branches across 12 governorates in Jordan. The questionnaire was distributed to 540 respondents comprising of marketing managers, sales managers, and information systems and coordinators. A total of 308 sets of questionnaires returned were valid for the analysis, a response rate of 57%. The findings showed that there is a mediating effect of IMC on the relationship between marketing effectiveness and consumer trends due to the word-of-mouth marketing and events and experiences as important dimensions of integrated marketing communications in the Jordanian marketing environment.
Implementasi ERP SAP HCM Time Management Positive Menggunakan Accelerated SAP(ASAP) Methodology

The SAP Activate Methodology is a modular and agile framework for implementation or migration of SAP solutions that provides content and guidance for project teams. ASAP 8 Standard takes a disciplined approach to project management, organizational change management, solution management, and other disciplines applied in the implementation of SAP solutions. The ASAP 8 is built around the SAP Advanced Delivery Management model and supports project teams with templates, tools, questionnaires, and checklists, including guidebooks and accelerators. ASAP 8 empower companies to exploit the power of the accelerated features and tools already built into SAP solutions. SAP HCM Time Management module is part of ERP SAP, so we should using ASAP Methodology while implementing this project.
MULTI-FEATURE MODEL FOR DUPLICATE BUG REPORTS DETECTION SOLUTION

For open source software such as Firefox, Eclipse, Subversion,. . . they usually have a system for bug management that sent by users. These bug reports help the system identify various software bugs which makes software maintenance better. However, a situation occurs that there are many error reports sent to the processing repository that these bug reports were previously reported by different users, this is called duplicate bug reports. In this paper, we introduce a multi-feature model combined with weighted improvements from CFC (ClassFeature-Centroid) to detect duplicate bug reportsautomatically. We have experimented on three projects of Mozilla, Eclipse and OpenOffice. The results show that our method can improve 8-12% better as compared to the compared methods.
kirschbombe/iiif-for-scholars: IIIF for Scholars: Sharing, Consuming, and Annotating the World's Images

Slides: https://docs.google.com/presentation/d/1Zwl4WrGEQybS_bq2oFpjHdfAuc66fNjbVxFlyjX8meM/edit?usp=sharingAccess to image-based resources (manuscripts, artworks, maps, etc.) is fundamental to research, scholarship and the transmission of cultural knowledge. Yet much of the Internet's image-based resources are locked up in silos, with access restricted to bespoke, locally built applications. IIIF (International Image Interoperability Framework), a framework for interoperable image delivery, gives an unprecedented level of uniform and rich access to image-based resources hosted around the world enabling scholars to view, annotate, and remix digital images (http://iiif.io).In this workshop, participants will learn basic IIIF concepts and technologies, and will work with IIIF-hosted content to explore the benefits and scholar use-cases through discussion and hands-on exercises. No prior experience is assumed, but you will need to bring a laptop and have a GitHub account to participate in all the hands-on exercises. If you do not already have one, you can sign up for a GitHub account here: https://github.com.
MULTILEVEL CHARACTERISTICS OF ARTISTIC AND PEDAGOGICAL COMMUNICATION OF THE STUDENT THEATRE PARTICIPANTS

The purpose of the article. The research substantiates scientifically the expediency of using in the system of professional training of future teachers such forms of theatre pedagogy as a student theatre, aesthetic by its nature, which artistic and creative activity is aimed at the formation of a socially significant and unique personality of the teacher. It has been proved that professional training of specialists will be more productive and effective, providing multi-level artistic and pedagogical communication to the students, which is realized within the activity of the student theatre. Methodology of the research is based on the position of the philosophical and aesthetic theory about the role of theatre art; the concept of professional development, self-development of the scenic and pedagogical action of the individual; understanding the essence of multi-level artistic and pedagogical communication of subjects of artistic and creative activity. The scientific novelty is that: 1) the concept of “student theatre”, which is considered as a form of artistic and pedagogical activity aimed at personal development, self-development, improvement of creative abilities of future teachers and their professional self-sufficiency through means of multilevel artistic and pedagogical communication in system of higher pedagogical education was introduced for the first time to the thesaurus of the theory and practice of professional pedagogical preparation of; 2) the level of artistic and pedagogical communication was characterized. Conclusions. Managing the multi-level artistic and pedagogical communication of the student theatre, the future teacher acquires the knowledge, qualities and skills that are necessary for the implementation of his general pedagogical activity, based on which communication is a function – a functional communicative component that encompasses the interaction of the teacher with the students, students in the aspect of achieving general pedagogical aims, ensuring the effectiveness of future pedagogical practice.
Digital Media and Freedom of Expression: Experiences, Challenges, Resolutions

The advent of the digital media has brought new challenges and opportunities. It has flattened the hierarchies of communication and reshaped the relationship between the authorities and the wider public in society. Access to all sorts of new technologies has made it possible for anyone to engage in public debate. As a result, although it may be perceived differently, threats to freedom of speech are becoming increasingly apparent. Based on interviews with prominent political and social figures, this qualitative study found out that the existing structures of communication are challenging democracy and the human rights. The findings shed the light on some of the tools used by certain malevolent actors whose objective is to silence free media, create a threatening environment for journalists, and use democratic digital platforms for violent behavior and infiltration. Discussions focus on social media threats in a hostile and divided environment. Some strategies and policies are therefore suggested as they can be useful to increase awareness, control and prevent the influence and extent of e-violence while promoting freedom of expression. The spiral of violence is to be remedied by the spiral of Action and non-silence.
A two-dimensional triangular medical coding system for storing and reporting medical information

Medical coding is an integral part of modern communication standards that help transform many types of clinical information such as patient information.The need to implement a standardized and a universal medical coding system is essential.The current study introduces a unique two-dimensional triangular medical coding system to identify, store and transmit clinical data based on the ICD-10 system between health institutions.The coding system comprises a triangular coding unit that can be arranged in six different standard geometric shapes representing the coding mechanism.A specific number of coding units are arranged in columns to form a cryptographic matrix.The matrix is comprised of many coding zones each generating a total number of "36" possible variations.The cryptographic code is then recognized by a digital scanner that is able to identify each triangular coding unit using a hypothetical signal triangle.The current coding system provides a simple process to store private medical information including patient ' s name, age, address, and medical history.This information can be then transferred electronically or printed without the fear of privacy or security violations.
Model Based Clustering using Finite Mixture Models of Lognormal Distribution

Abstract Model-based clustering consists of fitting a mixture model to data and identifying cluster with its components. This study discusses model-based clustering using a finite mixture of a univariate lognormal distribution with k components. In this study, lognormal mixture models for skewed data and also the estimation of mixing proportion by distance-based clustering have been considered. Parameter estimation is carried out by expectation maximization (EM) algorithm using different initialization approach using Manhattan distance, k-means and random methods. This clustering approach has been illustrated with the help of both simulated and real clustering datasets. Keywords: Finite mixture model, model-based clustering, Lognormal Distribution, EM algorithm, mixing proportion, K-means algorithm Cite this Article Deepana R., Kiruthika. Model Based Clustering using Finite Mixture Models of Lognormal Distribution. Research & Reviews: Journal of Statistics . 2018; 7(3): 58–67p.
On the Probabilities of Hierarchical Watersheds

Hierarchical watersheds are obtained by iteratively merging the regions of a watershed segmentation. In the watershed segmentation of an image, each region contains exactly one (local) minimum of the original image. Therefore, the construction of a hierarchical watershed of any image I can be guided by a total order $$\prec $$ on the set of minima of I. The regions that contain the least minima according to the order $$\prec $$ are the first regions to be merged in the hierarchy. In fact, given any image I, for any hierarchical watershed $$\mathcal {H}$$ of I, there exists more than one total order on the set of minima of I which could be used to obtain $$\mathcal {H}.$$ In this article, we define the probability of a hierarchical watershed $$\mathcal {H}$$ as the probability of $$\mathcal {H}$$ to be the hierarchical watershed of I for an arbitrary total order on the set of minima of I. We introduce an efficient method to obtain the probability of hierarchical watersheds and we provide a characterization of the most probable hierarchical watersheds.
IMPLEMENTASI PENDEKATAN KONSTRUKTIVISME TIPE SNOWBALL THROWING DALAM PEMBELAJARAN MENULIS PUISI DI KELAS VII MTS HIDAYATUL ISLAMIYAH BUMIREJO

This study aims to (1) describe the results of learning to write poetry using the Snowball Throwing type constructivism approach, (2) describe student activities, (3) describe students' responses to the learning process using the Snowball Throwing type constructivism approach. The results of this study are (1) the acquisition of students' cognitive abilities in understanding learning about poetry with the results of an average value of 90.2. (2) Student activities during the learning process are quite active, with the percentage of active students equaling 91.3 (21 students), and inactive students 8.7 (2 students). (3) Results of student responses with the percentage of students who responded to the Yes category by 66.92%, Less categories by 32.98%, and No categories by 0%.
mobilenet-v1-ssd300.tensorflow (8bit quantized and fine-tuned)

Application: Single-stage Object Detection Base model: MobileNet-v1 Framework: tensorflow1.1 Training Information: weights were fine-tuned using TF fake quantization nodes Quality: The COCO mAP(IoU=0.50:0.95) on 5000 validation images is 23.0% Precision: 8-bit precision Is Quantized: Yes, using fake quantization - i.e., weights appear in float32 but have only 256 unique values. Dataset: COCO val-2017
SISTEM PAKAR SKRINING PENYAKIT YANG DISEBABKAN OLEH VIRUS MENGGUNAKAN CERTAINTY FACTOR: SISTEM PAKAR SKRINING PENYAKIT YANG DISEBABKAN OLEH VIRUS MENGGUNAKAN CERTAINTY FACTOR

Extraordinary event is the emergence or increasing sickness or death epidemiologically in an area and in certain time and can lead towards plague. In addition to contagious diseases, there are also some other cause of extraordinary event such as diseases and poisoning.  The lack of information regarding the diseases which is caused by virus can make extraordinary event hard to be prevented. Early detection can help people to get information about the disease so they can do medication and early prevention. A Master system is a tool to assist in early detection for disease caused by virus.  A master system is an artificial intelligence (AI) program which combines knowledge base with inference system. In drawing the conclusion, the master system is using Certainty Factor. In designing the system consist of designing context diagram and DFD and the next development is implementing programming language PHP and the last stage of the system development is the Black Box Testing. The result of the research is the master system that is able to identified 7 diseases. The output system is the disease completed with the result of the patient’s trust score which is counted using certainty factor, disease definition, disease prevention and solution.
Increasing Search Results: Using Zero Search Results & JavaScript to Reframe Searches

Evaluating zero search results and identifying ways to improve the searches can vastly improve patron results. The University of Oklahoma, Tulsa Campus Library and the University of Central Oklahoma Library collaborated to evaluate zero search results and identify improved search strategies. Based on findings they have created a JavaScript for use with the Primo search box that modifies searches. One example is changing the search from http://dx.doi.org/10.1016/j.anorl.2016.05.006 (0 searches) to 10.1016/j.anorl.2016.05.006 (1 exact result). This presentation will cover our strategies for zero search result evaluation as well as the JavaScript used to modify the primo search box.
PENERAPAN METODE THINK TALK WRITE DALAM PEMBELAJARAN MENULIS TEKS CERPEN PADA SISWA MENENGAH ATAS

Researchers find problems in learning short story texts students find it difficult to express ideas and imagination. Researchers use the think talk write method to motivate students and develop ideas and imagination in writing short story texts. The Think Talk Write method is a way of teaching students to develop skills with their own business. This study aims to determine the differences in the ability and implementation of student learning applied to the treatment of Discovery Learning models in the control class and students who applied the think talk write treatment method in the experimental class. In this study the method used is the Quasi Experimental Design used is the pretest-postest Control Group Design. The objects that were sampled in this study were 30th grade XI-A students, and 30th grade XI-B students. Based on the results of the study, it can be concluded that the think talk write method is better than the Discovery Learning model. When students are treated with the think talk write method the value obtained is very good, can be seen from the posttest results the average student gets a score of 76.70, compared to when students are treated (treatment) using the average Discovery Learning model the students only get a score of 56.50.
STAAR Alternate 2 Raw Score Conversion Tables 2018–2019

You can find STAAR Alternate 2 raw score conversion tables listed below. The basic score on any test is the raw score. You can only interpret a raw score as a particular set of test questions. Unlike raw scores, you can interpret scale scores across different sets of test questions. Scale scores allow direct compari
Research Data Management in the Atlantic Provinces

Research Data Management (RDM) is becoming an increasingly important issue for post-secondary institutions. The Tri-Agencies (SSHRC, NSERC, CIHR) are expected to release a new policy that will stipulate that institutions have an institutional strategy for dealing with research data. Part of the responsibility will lie with researchers and the management of their research data.Three Atlantic universities are aiming to discover how researchers are storing, using and sharing their data through administering a survey using an instrument that has been used at many Canadian universities. Surveys will be administered in Winter 2019. Data from the surveys will be analyzed separately by each institution and may be combined to identify commonalities and possibilities for collaboration in the region. The results of these surveys will help librarians, IT specialists, data managers, and others interested in data management to understand current practices and attitudes. The results will also be used to contribute of the development of RDM services and resources across Atlantic post-secondary institutions with the aim of being prepared for the Tri-Agency policy once it comes into effect.