Reviewerly/exHarmony huggingface dataset:
Latent Dirichlet Allocation: Explained and improved upon for applications in marketing intelligence

In today's digital world, customers give their opinions on a product that they have purchased online in the form of reviews. The industry is interested in these reviews, and wants to know about which topics their clients write, such that the producers can improve products on specific aspects. Topic models can extract the main topics from large data sets such as the review data. One of these is Latent Dirichlet Allocation (LDA). LDA is a hierarchical Bayesian topic model that retrieves topics from text data sets in an unsupervised manner. The method assumes that a topic is assigned to each word in a document (review), and aims to retrieve the topic distribution for each document, and a word distribution for each topic. Using the highest probability words from each topic-word distribution, the content of each topic can be determined, such that the main subjects can be derived. Three methods of inference to obtain the topic and word distributions are considered in this research: Gibbs sampling, Variational methods, and Adam optimization to find the posterior mode. Gibbs sampling and Adam optimization have the best theoretical foundations for their application to LDA. From results on artificial and real data sets, it is concluded that Gibbs sampling has the best performance in terms of robustness and perplexity. In case the data set consists of reviews, it is desired to extract the sentiment (positive, neutral, negative) from the documents, in addition to the topics. Therefore, an extension to LDA that uses sentiment words and sentence structure as additional input is proposed: LDA with syntax and sentiment. In this model, a topic distribution and a sentiment distribution for each review are retrieved. Furthermore, a word distribution per topic-sentiment combination can be estimated. With these distributions, the main topics and sentiments in a data set can be determined. Adam optimization is used as inference method. The algorithm is tested on simulated data and found to work well. However, the optimization method is very sensitive to hyperparameter settings, so it is expected that Gibbs sampling as inference method for LDA with syntax and sentiment performs better. Its implementation is left for further research.
Case Studies in Model-Driven Reverse Engineering

Without abstraction, third party maintenance can hardly make evolve (even documented) software applications. In this paper we address the problem of re-engineering software applications to add abstraction in order to improve their continuous evolution. In three different case studies, we make use of Model-Driven Reverse Engineering for extracting component software architecture, for aligning business and application logic in information systems and for re-engineering a holonic software manufacturing process. We report lessons learnt for future developments.
Library data visualisation transformations: global patterns for research evaluation metrics in China

The new information environment in higher education libraries is shaped by an ever changing scholarly communication infrastructure and evolving cycles of research production, communication and evaluation. New services have emerged for research data analytics, based around strategic research intelligence. This paper focuses on library data visualisation transformations for research evaluation metrics in physical library spaces using physical hardware technologies and software, notably, in this study, CiteSpace and Google Fusion Table.This paper focuses on research evaluation metrics and the evolution of a data analytics service in China. Data-driven research intelligence is an emerging need for universities, including reporting to funding organisations. Deeper understandings of collaborativeauthorship and citation clusters can provide a comparative edge for strategy development. Leading universities need research data to analyse the performance at multiple levels.This paper focuses on data visualisation in the physical library using wall and table technologies. It showcases how library atrium spaces are transformed through the data visualisation of bibliometric data, where the data can be presented in ways that are beautiful, boring and functional. The paper will demonstrate how library spaces create opportunities for interaction, where researchers can experience data or interact and manipulate data to create new meaning, narratives and stories. The paper presentation will include video examples of data visualisation and the visualisation of data in physical library spaces, projecting a future for data visualisation in new library buildings on university campuses.
Visual Analytics of Bibliographical Data for Strategic Decision Support of University Leaders: A Design Study

As responsibilities about documentation of work in conjunction with an increase in third-party-funding for universities have been shifting over the last decade, new tools for the inspection and reporting of data are increasingly requested for strategic decision making. Therefore, we present a design study that aims to craft a stream visualization for the easy to use and easy to understand display of publications across university institutions. A formal design process was performed and led to a web-based visualization prototype of the available university data sets. The used visualization techniques, counting methodology, highlighting practices, and interaction paradigms are discussed and presented in detail. The design study was completed by an informal evaluation procedure within the ranks of strategic decision making staff. It turned out, that the developed expert tool allows to identify connections for future projects. In addition, it enables management to recognize promising departments or to apply support where it is needed.
Google Auto ML versus Apple Create ML for Histopathologic Cancer Diagnosis; Which Algorithms Are Better?

Artificial Intelligence is set to revolutionize multiple fields in the coming years. One subset of AI, machine learning, shows immense potential for application in a diverse set of medical specialties, including diagnostic pathology. In this study, we investigate the utility of the Apple Create ML and Google Cloud Auto ML, two machine learning platforms, in a variety of pathological scenarios involving lung and colon pathology. First, we evaluate the ability of the platforms to differentiate normal lung tissue from cancerous lung tissue. Also, the ability to accurately distinguish two subtypes of lung cancer (adenocarcinoma and squamous cell carcinoma) is examined and compared. Similarly, the ability of the two programs to differentiate colon adenocarcinoma from normal colon is assessed as is done with lung tissue. Also, cases of colon adenocarcinoma are evaluated for the presence or absence of a specific gene mutation known as KRAS. Finally, our last experiment examines the ability of the Apple and Google platforms to differentiate between adenocarcinomas of lung origin versus colon origin. In our trained models for lung and colon cancer diagnosis, both Apple and Google machine learning algorithms performed very well individually and with no statistically significant differences found between the two platforms. However, some critical factors set them apart. Apple Create ML can be used on local computers but is limited to an Apple ecosystem. Google Auto ML is not platform specific but runs only in Google Cloud with associated computational fees. In the end, both are excellent machine learning tools that have great potential in the field of diagnostic pathology, and which one to choose would depend on personal preference, programming experience, and available storage space.
UPAYA MENINGKATKAN HASIL BELAJAR SISWA DALAM PEMBELAJARAN MATEMATIKA MELALUI PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE THINK-PAIR-SHARE PADA KELAS VII.E SMP NEGERI 4 LINTAU BUO

ABSTRACT Based on the learning outcomes of Class VII.E students at SMP 4 Lintau Buo in Mathematics, it was found that student learning outcomes in Mathematics were still very low. The average student learning outcomes are still under the KKM. The purpose of this study was to describe and obtain information about efforts to improve student learning outcomes in Mathematics through the Think-Pair-Share (TPS) Type Cooperative Learning Model in Class VII.E 4 Lintau Public High School Buo Tanah Datar District. This research is a classroom action research. The procedure of research in this study includes planning, action, observation and reflection. This study consisted of two cycles with four meetings. The subject of the study consisted of 21 students of Class VII.E of SMP 4 Lintau Buo. Research data was collected using observation sheets and daily tests. Data were analyzed using percentages. Based on the results of the research and discussion that have been put forward, it can be concluded that the Cooperative Think-Pair-Share (TPS) Type Learning Model can improve student learning outcomes in Mathematics at Lintau Buo 4 Middle School. Student learning outcomes from cycle I to cycle II. Student learning outcomes in the first cycle were 54.53 (sufficient), increasing to 83.93 (good) with an increase of 29.40%.
Pemanfaatan Plugin After Effect Untuk Produksi Film

Abstract - Film is a communication media that is audio visual in nature to convey a message to a group of people who gather in a certain place. Movie messages on mass communication can take the form of anything depending on the film's mission. However, generally a film can include a variety of messages, both messages of education, entertainment and information. The message in the film is to use the mechanism of symbols that exist in the human mind in the form of message content, voice, words, conversations and so on. Trailer is a preview or excerpts of interesting scenes from a film, which aims to attract the audience to want to see the film that is. While the development of the world of film itself in recent years is very rapidly advancing. Lots of interesting scenes that are very extraordinary are shown on some of the leading films in the world today. Like the trailer on Aquaman and Avenger's films, wherein there are scenes showing an engineering city that resembles the original in the story and explosions that destroy buildings or the surrounding environment. It is impossible for such places to exist on this earth. The making of special effects as in the scenes will later use the technique of implementing essential elements in footage movie action in Adobe After Effect and several plugins that support it. At the end of the project it will produce a trailer, where later the processing techniques can inspire young Indonesian filmmakers as learning media in the field of film. It can also be used as a new method for re-processing an event that is not possible by directly reconstructing it using ordinary video
Rehabilitation of Offenders

This is a story about second chances...When I got home after work this evening, the burglar alarm was going off in my next-door neighbour's house.
Relevance feedback-based optimization of search queries for Patents

In this project, we design a search query optimization system based on the user’s relevance feedback by generating customized query strings for existing patent alerts. Firstly, the Rocchio algorith ...
Evaluating Offensive Security Processes

This and the following chapters show the challenge and value in evaluating offensive security technologies in a defensible and meaningful way. The following example focuses on experimental evaluation of the CAPTR team concept that was used in the academic arena. However, the framework created to perform this experimental evaluation can be used in both academia and industry, providing a repeatable and structured process to compare one offensive security method to another.
Crime statistics and research

The implementation of the Crime Statistics and Research unit within the Queensland Government Statistician’s Office delivers on an election commitment by the Queensland Government to establish an independent crime statistical body to publish crime statistics for the state.
An analysis of research trend on r-learning for early childhood education in South Korea

연구목적: 4차 산업혁명 시대를 맞이하여 유아교육 분야에서 로봇을 활용한 R-러닝의 중요성이 커지고 있다. 이에 본 연구에서는 국내에서 이루어진 유아교육분야 R-러닝에 관한 연구동향 분석을 실시했다. 방법: 분석 대상은 2017년 12월까지 국내에서 이루어진 유아교육분야 R-러닝에 대한 논문 131편이다. 학술지 논문과 학위 논문을 포함했으며, 전반적 동향과 연구방법 및 연구주제를 기준으로 기술통계 분석을 실시했다. 결과: 첫째, 유아교육관련 R-러닝 연구는 2008년 처음 시작하여 2011년에 23편으로 급증했으며 2015년 이후 감소 추세인 것으로 나타났다. 논문 유형에 있어서는 학술지 논문보다 학위 논문이 큰 비중을 차지했다. 둘째, 연구방법에서 대다수 논문이 유아와 교사를연구대상으로 활용했으며, 연구설계 방법에 있어 조사연구가 가장 많이 사용되었고, 다음으로 관찰연구, 실험연구, 개발연구, 사례연구, 문헌연구의 순으로 나타났다. 자료수집방법에서는 질적 자료수집이 많이 사용됐으며, 자료분석 방법에서는 질적 자료분석과기술통계 및 차이분석이 다수 나타났다. 셋째, 연구주제로는 다수의 연구가 R-러닝의 효과와 R-러닝에 대한 특성 및 활용을 다루고 있었다. 결론: 유아교육분야 R-러닝에 대한 지속적인 연구 확산을 위해 다양한 연구대상과 연구방법 및 연구주제를 활용한 다학문적 접근이 필요하며, 정부 지원을 통한 활성화가 요구된다.Objectives: In the era of the Fourth Industrial Revolution, robot-based r-learning is becoming more important in the area of early childhood education. This study aims to analyze the trend of research on r-learning in early childhood education in South Korea. Methods: We analyzed 131 domestic studies that have been published until December 2017 using descriptive statistics. Both journal articles and theses were included, and they were analyzed by years and study types, research methodology, and research themes. Results: First, research on r-learning in early childhood education first showed in 2008, increased rapidly in 2011, and had gradually decreased since 2015. Second, most of the papers used infants and teachers as research targets. The most frequent survey studies were in the research study, followed by observational, experimental, development, case studies, and literature studies, and qualitative data collection was used in the data collection methods, and many qualitative data analysis, technical statistics, and differences analysis were used. The research themes that had been used the most were ‘effects of r-learning’ and ‘characteristics and utilization of r-learning.’ Conclusions: In order to expand r-learning-related research with the advent of the Fourth Industrial Revolution, we suggest that interdisciplinary convergence approaches utilizing various methodology and themes are needed with consistent government support.
Design of a Novel Query System for Social Network

User intention and nature of network plays a vital role towards the quality of response received as the result of any user query. Therefore, the need of system understanding the user's intent and network dynamism as well is highly apparent. The proposed query processing and analysing system (QPAS) for social networks is based on extracting user's intent from various social networks using existing NLP techniques. It fetches the information and further employs hybrid ensemble k-means hierarchical agglomerative clustering (HEKHAC) and modified Bitonic sort to improve the responses. The proposed approach offers an edge over other mechanisms as it not only retrieves more user-centric results as compared to traditional way of keyword-based searching but also in timely manner as well. It is an innovative approach to investigate the new aspects of social network. The proposed model offers a noteworthy revolution scoring up to precision and recall respectively.
PENGARUH KAMPANYE NEGATIF DAN KEBERPIHAKAN CALON PETAHANA KEPADA PEMODAL TERHADAP PERILAKU MEMILIH KOTAK KOSONG (STUDI KASUS PILKADA KABUPATEN PATI 2017)

The reasearch is a set of interest by the selection region head of Pati regency 2017, which only followed by a couple of candidates, Haryanto (incumbent candidate) and Saiful Arifin, to fight an empty box. The empty box on the polling station gets 25,48% votes. This votes is significant other than 9 other areas that were also only followed by a single candidates by then. In addition, the volunteer of empty box is sufficiently active to select an empty box and do a negatif campaign about incumbent’s candidate. And the prospective incumbent’s candidate to investors has been identified as one of the unchosen selecting of empty box. The methods used in this research are quantitative methods of research with statistical tests as a tool to test hypotheses. The purpose of this research is to know whether there is a partial or shared influence of a negative campaign, the prospective incumbent’s candidate to the investors, and the behavior of choosing empty box on the selection of Pati regency 2017. The results of this research indicates that there is influence between the negative campaign to behavior of choosing empty box, there is influence between the prospective incumbent’s candidate to investors to choosing empty box, and together there is influence between the negative campaign and the incumbent’s candidate to the investors to choosing empty box on the selection region head of Pati regency 2017. In a hypotheses test the influence of both variables, there are negative campaign and the prospective incumbent’s candidate to the investors, to the behavior of choosing empty box are 42,3%, and 57,7% are described or influenced by other variables beyond the research. Keywords : The Selection of Pati Recency 2017, Negative Campaign, The Prospective Incumbent’s Candidate To Investors, Behavior of Choosing Empty Box
Early Childhood Education in the Era of the Fourth Industrial Revolution: Based on Brain Development

본 연구는 4차 산업혁명시대에 즈음하여 유아교육의 방향이 어떻게 되어야 하는지를 뇌 발달에 근거하여 알아보았다. 뇌 발달 연구들이 말하는 유아교육에 대한 시사점을 정리하면 다음과 같다. 첫째, 뇌의 가소성으로 인해 뇌 기능과 발달은 활발해지며 둘째, 뇌는 모델의 모방을 통해 발달하고 셋째, 뇌 발달의 민감기는 영&#8901;유아기이며 넷째, 감각의 자극은 뇌 발달에 좋은 영향을 미친다. 그리고 다섯째, 정서적 안정과 편안함은 뇌 기능 증진에 좋은 영향을 미치며 여섯째, 뇌는 사회적 상호작용을 통해 발달하고 마지막으로 뇌는 각 부위가 독자적이지만 이들이 서로 통합하여 발달한다는 것을 알 수 있었다.This study explored the direction of early childhood education based on brain development in the era of the fourth industrial revolution. The summary of brain research in early childhood education has several implications. First, the brain plasticity makes the brain function and development active. Second the brain develops copying of model’s behaviors. Third, the sensitive period of brain development is the period of infant and early childhood. Fourth, the stimulation of the senses has a positive effect on brain function and development. Fifth, the emotional security and comfort affect brain development positively. Lastly, brain function and development depends on the integration of each part of the brain.
If you want a @withknown site on ...

If you want a @withknown site on @goifoiundation https://goifnetowrk.org @GereonKalkuhl let me know.
Research Guides: Interpreting Data Visualizations: The basics: Home

Charts, graphs, and more. Tips on how to read them. Examples of common data visualization mistakes. Purposes of different graph & chart types.
3D Surface Fitting Method for Efficiency of Turbine Generator Set Based on Real-time Dynamic Correction

The three-dimensional curved surface of "working head-output-efficiency" of turbine generating set needs to be modified dynamically in real time because of the small amount of data at the initial stage of measurement and the change of efficiency after long-term operation. A data preprocessing method is presented. The processed sample data can not only filter out the measurement noise, but also track the real efficiency change of the turbine generator set. Three correction conditions have been worked out, and the three-dimensional curved surfaces will be corrected after the correction conditions are satisfied. The field demonstration project proves that it can ensure the accuracy of efficiency curved surface of turbine generator set and provide accurate data for optimal load distribution.
Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing

We present a method for compositing virtual objects into a photograph such that the object colors appear to have been processed by the photo's camera imaging pipeline. Compositing in such a camera-aware manner is essential for high realism, and it requires the color transformation in the photo's pipeline to be inferred, which is challenging due to the inherent one-to-many mapping that exists from a scene to a photo. To address this problem for the case of a single photo taken from an unknown camera, we propose a dual-learning approach in which the reverse color transformation (from the photo to the scene) is jointly estimated. Learning of the reverse transformation is used to facilitate learning of the forward mapping, by enforcing cycle consistency of the two processes. We additionally employ a feature sharing schema to extract evidence from the target photo in the reverse mapping to guide the forward color transformation. Our dual-learning approach achieves object compositing results that surpass those of alternative techniques.
LibGuides: PERSUASIVE COMMUNICATION--COMM240: Home

This LibGuide has been designed to assist COMM240 students with research and other Library tasks.
GENDER DIFFERENCES AND INTEREST IN READING: EXAMINING THE LITERACY ACQUISITION OF NIGERIAN LEARNERS OF ENGLISH AS A SECOND LANGUAGE

This study which investigated the relationship between gender and pupils’ interest in reading was conducted in Enugu, Nigeria. It adopted the non-equivalent, non-randomized control group quasi experimental design. The population of the study consisted of all the primary one school pupils in Enugu East local government area while the sample comprised 118 pupils drawn from four public primary schools. The schools were assigned to experimental and control groups through tossing of coin while gender was purposively selected. The instrument used for data collection was Reading Interest Inventory (RII) which was constructed by the researcher. Data generated were analysed using Mean, Standard deviations and Analysis of Covariance (ANCOVA). The research questions were answered using mean and standard deviations while the hypotheses were tested at 0.05 level of significance using ANCOVA. The findings of the study indicated that gender was not a significant factor on pupils’ interest in reading. It also revealed that there was no significant interaction effect of teaching method and gender on pupils’ interest in reading. It was concluded that synthetic phonics is able to stimulate and sustain pupils’ interest in reading gender notwithstanding. The adoption of fun-filled and activity-based instructional methods such as synthetic phonics for initial reading instruction was therefore recommended.
Personalized interface agent for online book shop

This paper, we describe the application of a personalized interface agent for online book shops. Nowadays, due to the huge amount of information on different media, there is a serious overload problem. Users do have a lot of information but they do not have any tools that allow them to classify it and find what they exactly need. Agent technology can be used to overcome information overloading problem. Agents help the user to retrieve information from the World Wide Web. Agents is a software program that uses Artificial Intelligence. This system is intended to develop an interface agent that performs interaction between the user and online book shops. The system is also intended to develop a personalized agent that can perform searching, filtering and displaying customized information for each user autonomously.
The rebirth of long dormant blogs is ...

The rebirth of long dormant blogs is one of the great reasons to use a feed reader. There is absolutely no overhead.