Reviewerly/exHarmony huggingface dataset:
Intervención educativa para la prevención de complicaciones en pacientes con dislipidemia

Introduction: currently, atherosclerotic disease is among the main causes of death, disability and dementia in elder people. It is caused by multiple factors, but it is indisputable the relation of dyslipidemia with the risk of cardiovascular events. Objective: to provide the necessary information to patients for them to modify life styles and achieving a positive impact in the reduction of the morbidity and mortality caused by atherosclerotic diseases. Materials and methods: an intervention project was applied through educative actions in a group of adult patients (n=234) with dyslipidemia, treated in the Health Unit ¨Oziel Montecristo¨, by the team I (white), of the municipality Campinas, Sao Paulo Department, from January to July 2016. The participants answered an inquiry before and after receiving the information. Results: the predominant age group was the 20-50 years one, with 55.5 %. Primary scholarship was the most significant (41 %).  Other reported factors were obesity, 46.5 %; smoking, 9.4 %; chronic alcoholism, 8.5 %; and sedentary life style, 71.7 %. The chronic diseases found were: arterial hypertension, 53.4 %; diabetes mellitus, 40.5 %; ischemic heart disease, 20.9 %; and chronic renal disease, 9.4 %.  Positive results were achieved in the audience; an important number of patients continued in therapeutic groups. Conclusions: the patients assimilated important knowledge on dyslipidemia, to practice healthy life styles decreasing the risk of cardiovascular events.
LibGuides: Special Events: Sustainability Awareness Month Art Exhibit & Display

This LibGuide features information on special events happening at the IU Southeast Library.
Metacognitive Strategy for Enhancing the Grade XI Students’ Reading Comprehension

This is classroom action research (CAR) aiming to enhance the students' reading comprehension through metacognitive strategy for Grade XI students of Social Program  (IPS) 2 at senior high school SMA Muhammadiyah 1 Yogyakarta in the 2016/2017 academic year. Involving 37 students, this study was carried out through two stages both of which consisted of seven meetings in total. The CAR stages included determining the problem, planning, action and observation, and reflection. The data were collected by two main techniques. The qualitative data were obtained from the field notes, interview transcripts, and portfolios, and were analyzed through data reduction, data display, and conclusion drawing. Meanwhile, the quantitative data were the reading scores analyzed by the Microsoft Excel program. The results of this study reveal that metacognitive strategy is somewhat successful in improving the students’ participation, learning independence, and reading comprehension. In-group learning was believed to render higher improvement by the metacognitive strategy, from 72.19 in Cycle 1 to 76.43 in Cycle 2 or a gain score of 4.24, and it supports the teacher in variatively managing the classroom activities, learning materials, and reading instructions.
Comparative Study of Multilabel Classifiers on Software Engineering Q&amp;A Community for Tag Recommendation

In the paper, we are analyzing and classifying the tags of the textual content of Software Engineering, Stack Exchange Q&A website by using text pre-processing and classification algorithm. These methods were chosen because the tags provided by the dataset were too general to contextualize the questions. Further the selected classification methods are being compared using accuracy, and used to predict the tags correctly. The accuracy found for LinearSVM is the highest among all the classifiers. The tags predicted by LinearSVM has given the best results of 96% as its ROC score.
Gaze-Tracking Algorithm based on Infrared Gray Image

Gaze-tracking technology is a new type of HCI (human-computer interaction) technology that has great application potential in the field of intelligent control.According to the characteristics of the reflected spot formed by the human eye under the irradi ation of infrared light, a gaze-tracking algorithm was designed based on the pupil corneal reflection principle.Firstly, the human eye is quickly located according to the characteristics of the reflected spot to obtain the eye sub -image, and the eye sub-image is binarized using the image segmentation method based on threshold iteration.Then, the edge detection algorithm is used to obtain the pupil and reflected spot edge, and the geometric center coordinates of the pupil and the reflected spot are obtained by ellipse fitting.Finally, the relationship between the gaze and the gaze point is obtained by view-point mapping based on the polynomial function, so as to realize gaze-tracking.The simulation results show that the gaze point's maximum vertical error is seven pixels and maximum horizontal error is nine pixels.It can track the gaze point in real time and has the characteristics of rapidness and high precision.It has application value in human-computer interaction.
Short Video Classification Based on Spatio-Temporal Features and SVM

Due to the low accuracy of video classification, this paper proposes a video classification method based on temporal and spatial feature. Firstly, obtain the video descriptor and extract the spatio-temporal features from the video. Then the video encoding is generated by using the word bag model. Finally, compare spatial and temporal features respectively to generate the final judgement and train the classifier area to divide into video categories. SVM (Support Vector Machine) is used to train a multi-class classifier to classify video and it can get better results in small sample training set and has excellent generalization ability. Experimental results indicate that the above method is efficient to process and illustrate video classification to some extent.
Show me your properties: the potential of property-based testing in agent-based simulation

This paper presents property-based testing, an approach for testing implementations of agent-based simulations (ABS), never considered so far in this field. It is a complementary technique to unit-testing and allows to test specifications and laws of an implementation directly in code which is then checked using automated test-data generation. As case-studies, we present two different models, an agent-based SIR model and the SugarScape model, in which we will show how to apply property-based testing to explanatory and exploratory agent-based models and what its limits are.
Computer Vision Based Real Time Communication For Deaf People

Sign language is the primary language of the people who are deaf or hard of hearing and also used by them who can hear but cannot physically speak. It is a complex but complete language which involves movement of hands, facial expressions and postures of the body. Sign language is not universal. Every country has its own native sign language. Each sign language has its own rule of grammar, word orders and pronunciation. The problem arises when deaf and dumb people try to communicate using this language with the people who are unaware of this language grammar. So it becomes necessary to develop an automatic and interactive interpreter to understand them. People want something more natural. Another one is based on computer vision based gesture recognition, which involves image processing techniques. Consequently, this category faces more complexity
Social Support, Self-Regulation Learning and Student Engagement in High School Students

Abstract. The student’s involvement in studying are divided into 3 dimensions such as: dimensions of behavior, emotions, and cognitive. The engagement level of students toward their study behavior play important roles in their academic development. Upon research, it is believed that social supports including family, friends, and teachers do play important roles in affecting student engagement at schools. Moreover, student with tendency of high self-regulated behavior is mostly likely to be more engaged amongst students at schools as opposed to student with low tendency of self-regulated. This research aims to determine whether social support system and self-regulation affect the student engagement which had been tested in one of Jakarta’s Public High Schools. 100 students which consisted of both grade X and XI, majoring in Science and Social have been involved throughout the research. This research has also utilized a multiple regression of hypothesis test. The result showed that that there was an influence of social support and self-learning on student engagement. Keywords: Social Support, Self-Regulation Learning, Student Engagement, Student Effect, Teaching and Learning. High School. Student Behavioral.
INVESTIGATING STUDENTS' PERSONAL INITIATIVE AND THEIR OVERALL ENGLISH SPEAKING ACHIEVEMENT

ABSTRACTPurnamasari, Desi. (2019). Investigating Students’ Personal Initiative and theirOverall English Speaking Achievement. A Thesis, Language and ArtsDepartment, Facultyof Teacher Training and Education of JambiUniversity in Academic Year2018/2019. The first Supervisor isHadiyanto, S. Pd., M. Ed., Ph. D. and the second Supervisor is Dr. ReliHandayani, S. S., M. Pd.This research is intended to know whether there is a correlation or not between students’ personal initiative towards their English speaking performance. The research method was quantitative correlation research. The samples of this research were 92 English education study program students’ in the second semester for academic year 2018/2019 at Jambi University. The instrument to collect the data was questionnaire consist of 25 questions. And to collect their English speaking achievement data the score of speaking subject was used. In analyzing the data, the questionnaires were counted by Likert’s scale rating. To find the coefficient correlation of the variables the researcher used Pearson Correlation Coefficient in SPSS type 16.0.The results of this research show that there is a significant correlation between students’ personal initiative (X) and their English speaking achievement (Y) with the value 0.496 which was categorized as a moderate level. Based on the findings, it can be concluded that personal initiative of the students was important to be considered as one of determination factors of students’ achievement in English speaking. At the end of this research, the researcher suggests that in giving speaking scores to not only look at the speaking component (grammar, vocabulary, fluency, and pronunciation) but also to see how their personal initiative is. It helps students become more confident in improving their ability to speak English.Keywords: Personal Initiative, Speaking Achievements, Correlation
Write once, rewrite everywhere: A Unified Framework for Factorized Machine Learning

Author(s): Justo, David Antonio | Advisor(s): Kumar, Arun | Abstract: This thesis describes TRINITY, a framework to optimize linear algebra algorithms operat- ing over relational data in GraalVM. The framework implements a host-language-agnostic version of the optimizations introduced by the Morpheus project, meaning that a single implementation of the Morpheus rewrite rules can be used to optimize linear algebra algorithms written in arbitrary GraalVM languages. We evaluate its performance when hosted within FastR and GraalPython, GraalVM’s R and Python implementations respectively. In doing so, we also show that TRINITY can optimize across languages, meaning that it can execute and optimize an algorithm written in one language, such as Python, while using data originating from another language, such as R.
Analisa Saluran Drainase Pada Perumahan Griya Setia Nusa Kecamatan Tambang Kabupaten Kampar Menggunakan Epa Swmm 5.0

ABSTRACTResidence is a group of houses that functions as a neighborhood or forest environment that is equipped with environmental infrastructure and facilities. The planning for facilities and infrastructure systems in housing needs to get attention especially on the drainage that is important in order to avoid flooding. To prevent flooding, it is necessary to predict the level of surface run off in the canal based on land use in 2031. Then this study was conducted to predict and simulate the flooding problem using EPA SWMM 5.0. With the expected flooding results obtained, it is necessary to prevent flooding by changing the dimensions of the duct. From the simulation results in the canal dimensions that can overcome the flood are the duct width (B) 0.9 m and the depth (H) 0.8 m.Keywords: Flood, Drainage, EPA SWMM 5.0
Character Changing of Miles Halter on Looking for Alaska Novel by John Green (2005): A Behaviorism Study

The focus of this research is the Miles Halter’s character changing, because Miles Halter’s character is described in many characters. The researcher also sees the influencing factors of Miles’s character changing. This reasearch aims at: (1) describing how the Miles Halter’s characters changing is described and (2) explaining how the Miles Halter’s characters changing and factor influence Miles Halter’s character changing described by using behaviour theory. The technique of collecting data is using note-taking technique. In analyzing the data, the researcher uses the theory of behaviourism. The result of the study shows that the characteristic of Miles Halter’s change in the middle of story. Miles changes because he meets Alaska Young. After Alaska Young died, Miles’ character changes again. Especially, when Miles find fact about Alaska’s suicide. However, the main character’s change is described by Lewin’s Theory and it corresponds with the theory.
Visual Cryptography:A Concern of Privacy

Visual Cryptography is an exciting area of research and is widely being used in diverse applications such as online banking, internet voting, cloud computing, biometrics, etc. It is one of the powerful encryption tool that can be used to hide visual information and can be decrypted by the human-visual system without requiring the use of any decryption technique. This paper examines the vital aspects of visual cryptography and analyse the findingsafter going through an extensive literature review. The major emphasis of present study is to highlight the key visual cryptography schemes and recent advances in the area of visual cryptography.
Amazing Earth: Satellite Images from 2019

These views of Earth from 2019 were taken with a variety of different science instruments and data tools, all helping us see our planet more clearly.
Appendix F: Statistics of Constrained Speckle

In this appendix we assume that the speckle arises from a superposition of a finite but large number M<sub>T </sub>of CW modes, and that the total power W<sub>T </sub>contained in the totality of those modes is constant.
LinkChains: Trusted Personal Linked Data

Centralisation of data is increasingly widely considered to be an important societal problem. The ability to manage personal data, especially, in accordance with good principles for decentralised data systems is vital in response. We present our vision for the trusted decentralised personal data Web in the form of the LinkChains architecture.
LibGuides: Hekman Library for Seminary Distance Education: Community FAQs

Librarian-crafted guide to services and resources in Hekman library for Calvin Seminary Distance Education students
Vision - A space for digital learning and exploring pedagogies: Virtual world education

&#x0D; &#x0D; &#x0D; The Australian and New Zealand Virtual Worlds Working Group (VWWG) was established in 2009. Members of the group have written papers for ASCILITE conferences since 2010. Each paper’s intention is to provide an overview on using virtual worlds in higher education, especially the practical aspects of incorporating 3D worlds to enhance student learning. This VWWG’s paper looks at a virtual world as a space for digital learning and exploratory pedagogy – meaning, that the authors perhaps do not perceive virtual worlds as ordinary. However, they do acknowledge that those who do not regularly engage in virtual worlds may see it as new and innovative, perhaps even untested ground, but still with a degree of unfamiliarity. A survey was sent to the members of the VWWG in which the narratives have provided rich data for in depth understanding. The themes focused in the survey were ‘disruptive thinking’, ‘emerging ideas’ and ‘lateral connections’, from the perspective of the respondents’ experiences in the implementation of virtual worlds in education. They discuss the idea of a virtual world used in education as a new treasure, or perhaps it has been in use for some time and now classified as traditional.&#x0D; &#x0D; &#x0D;
Learning Deep Conditional Target Densities for Accurate Regression

While deep learning-based classification is generally tackled using standardized approaches, a wide variety of techniques are employed for regression. In computer vision, one particularly popular such technique is that of confidence-based regression, which entails predicting a confidence value for each input-target pair (x,y). While this approach has demonstrated impressive results, it requires important task-dependent design choices, and the predicted confidences lack a natural probabilistic meaning. We address these issues by proposing a general and conceptually simple regression method with a clear probabilistic interpretation. In our proposed approach, we create an energy-based model of the conditional target density p(y|x), using a deep neural network to predict the un-normalized density from (x,y). This model of p(y|x) is trained by directly minimizing the associated negative log-likelihood, approximated using Monte Carlo sampling. We perform comprehensive experiments on four computer vision regression tasks. Our approach outperforms direct regression, as well as other probabilistic and confidence-based methods. Notably, our model achieves a 2.2% AP improvement over Faster-RCNN for object detection on the COCO dataset, and sets a new state-of-the-art on visual tracking when applied for bounding box estimation. In contrast to confidence-based methods, our approach is also shown to be directly applicable to more general tasks such as age and head-pose estimation. Code is available at this https URL.
Cloud-based Image Classification Service Is Not Robust To Adversarial Examples: A Forgotten Battlefield

In recent years, Deep Learning(DL) techniques have been extensively deployed for computer vision tasks, particularly visual classification problems, where new algorithms reported to achieve or even surpass the human performance. While many recent works demonstrated that DL models are vulnerable to adversarial examples. Fortunately, generating adversarial examples usually requires white-box access to the victim model, and real-world cloud-based image classification services are more complex than white-box classifier,the architecture and parameters of DL models on cloud platforms cannot be obtained by the attacker. The attacker can only access the APIs opened by cloud platforms. Thus, keeping models in the cloud can usually give a (false) sense of security. In this paper, we mainly focus on studying the security of real-world cloud-based image classification services. Specifically, (1) We propose a novel attack method, Fast Featuremap Loss PGD (FFL-PGD) attack based on Substitution model, which achieves a high bypass rate with a very limited number of queries. Instead of millions of queries in previous studies, our method finds the adversarial examples using only two queries per image; and (2) we make the first attempt to conduct an extensive empirical study of black-box attacks against real-world cloud-based classification services. Through evaluations on four popular cloud platforms including Amazon, Google, Microsoft, Clarifai, we demonstrate that FFL-PGD attack has a success rate over 90\% among different classification services. (3) We discuss the possible defenses to address these security challenges in cloud-based classification services. Our defense technology is mainly divided into model training stage and image preprocessing stage.
Making metadata be FAIR, in particular enhancing the ‘R’? – The Approach of the Australian Metadata Working Group.

Any catalogue describing objects will contain metadata: such systems are built to improve findability (F) and accessibility (A). However, a content rich metadata framework, carefully developed by communities with broad interests, can also ensure an interoperability (I) and re-usability (R) of described objects. The Australian Metadata Working Group (MDWG), supported by the Australian and New Zealand Land Information Council and Intergovernmental Committee for Surveying and Mapping, is building one of these FAIR frameworks. The group comprises of federal and jurisdictional governments, research organisations and academia which provides a wide spectrum of use cases of multi-disciplinary community needs. The MDWG recognises multiple aspects of reusability to ensure consistent adoption of the Australian Metadata Profile based on the ISO 19115-1 standard including: Reusability of content: defining a list of elements to ensure content-rich self-describing metadata that can be interpreted by both humans and machines to: capture data dictionaries to enable dataset reconstruction record technical details for services to ensure their correct usage and associated code reuse understand resource quality and provenance to ensure its correct usage specify licence and security conditions to understand preventing the reuse factors consistent reuse of existing community vocabularies (or develop and openly publish new for reuse by others) record resource formats to support access to resources Reusability of the Australian Metadata Profile through publishing its model and XML to ensure consistent adoption of metadata patterns: developing XML examples building user guides and other communication materials Reusability of tools and their deployment: investigation and testing metadata creation, publishing and validation tools, sharing tricks and lessons learnt The MDWG has successfully delivered reusable tools, a consistent profile and user guide plus defined metadata elements with clear purposes. The wealth of combined expertise, sharing of resources and technical support also provided the first example of the ISO 19115-1 standard adoption and re-use of metadata tools, thus, providing great savings to organisations in developing and implementation time and budget.
Pelaksanaan Pembelajaran Muatan Lokal Bahasa Inggris di SD Negeri 25 Kota Bengkulu

This study aims to describe the planning, implementation, and assessment english language of local content learning in SD Negeri 25 Kota Bengkulu. This research is a descriptive research with qualitative research type. The subjects of this study were English teachers and students. Data collection techniques use observation, interviews, and documentation. Test the credibility of data through increased persistence and triangulation. The data that have been obtained is analyzed by data reduction, data presentation, and conclusion. The results of this study are (1) at the planning stage has been done by making syllabus and rpp; (2) at the implementation stage the teacher has carried out the three stages of the learning process ie preliminary activities, core activities, and closing activities; (3) at the assessment stage the teacher has carried out the assessment of aspects of knowledge and attitude. Based on the results of the research can be concluded that the teacher has carried out the planning, implementation, and assessment. However, there are several components that need to be improved, such as developing affective and psychomotor indicators.