Reviewerly/exHarmony huggingface dataset:
TEKNIK DAN INSTRUMEN PENILAIAN RANAH KOGNITIF TEKNIK NON TES DAN PENERAPANNYA DALAM PENDIDIKAN ANAK USIA DINI

The cognitive domain deals with the process of evaluating individual thinking abilities or problem solving abilities. There are 9 characteristics of cognitive development, which can understand the concept of opposite meanings such as empty-full, light-heavy, top-bottom, and so on. Can match geometric shapes (circles, squares and triangles) with real objects or through visualization of images, Can stack blocks or rings according to their size in sequence. Can group objects that have the same color, shape, and size. Can mention pairs of objects, able to understand cause and effect. Can arrange daily activities and show when each activity is carried out. Retell 3 main ideas from a story. Recognize and read writing through images that are often seen at home or at school. Recognize and mention numbers 1-10. This cognitive domain assessment technique uses rating scales, check lists and anecdocate notes.
Blind Transfer of Personal Data Achieving Privacy

Exploitation of data for statistical or economic analyses is an important and rapidly growing area. In this article, we address the problem of privacy when data containing sensitive information are processed by a third party. In order to solve this problem, we propose a cryptographic protocol and we prove its security. The security analysis leads to introduce the new notion of generalized discrete logarithm problem. Our protocol has effectively been deployed within a network of more than 5000 pharmacies.
Sistem Pendukung Pengambilan Keputusan Kesesuaian Beasiswa Menggunakan Naive Bayes

Until now there are no system that helps determine candidates who are eligible to receive the Sandjojo Foundation scholarship at Soegijapranata Catholic University. Therefore, scholarship recipients are sometimes not on target. This research can help solve problems by using the Naive Bayes algorithm as a medium for decision makers with criteria such as based on the student's GPA, the total income of parents, and must be an active student in the organization. Using previous registrant data, the Naive Bayes algorithm can study the data for each of the criteria entered to determine whether applicants qualify or not to receive scholarships from the Sandjojo Foundation. This research was made using a web-based application and has been tested four (4) times with a variety of test and training data, with an accuracy of around 50% to 65% and a time of less than three (3) seconds..
How to plot a gripping crime novel

Pauline Rowson discusses how she plans and plots her fast-paced and gripping mystery crime novels and thrillers, how she begins plotting, creating characters, and how she conducts research
Inexpensive Motorized Focus Stacking Rail - WeMacro Rail Review

If you want macro images with a greater depth of field, youre going to have to focus stack. Manually doing the process takes a long time. The ...
Moving obstacle tracking and estimation on crosswalk for blind people navigation system

When a blind person starts to cross a crosswalk, he/she may need to track moving objects such as pedestrians, pets, and so on in in order to avoid collision. This paper proposes a method of moving-obstacle tracking on a crosswalk for blindperson navigation system. In the method, borders of a crosswalk in front of the blind person is first determined using straight white lines on an intensity image, and a depth image is simultaneously used to detect candidate moving obstacles using differences among neighboring frames. The moving objects are then determined by height of the candidates, and positions of moving objects, which are assumed to be pedestrians and pets, are obtained from the depth image. This position information on previous image frames is finally used to estimate movement vector based on the moving object trajectory, and rectangular windows are employed to track moving objects in the next frame. To evaluate performance of the proposed method, experiments with pedestrians at a crosswalk were performed, and results showed effectiveness of the proposed method.
Geology and Geochemistry of Sediments from Lewumeji and Idogun Wells, Eastern Dahomey Basin Southwestern Nigeria

Selected composited samples from Lewumeji (0-111m) and Idogun (0-54m) Abeokuta Group, Eastern Dahomey Basin, were subjected to detailed lithologic and geochemical studies.The studies aimed at determining the lithological sequence, paleoenvironments of deposition, tectonic settings, provenance, weathering history and the classification of sediments.The core samples were subjected to lithological description and geochemical analysis were done following standard procedure through the use of Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES) through lithium metaborate fusion method.The lithologies from both wells consist of reddish to brown colour, rounded to sub rounded sandstone, brownish clay, and dark grey shale denoting possibly fluvial, brackish, lagoonal and marine environments.The sandstone revealed dominance of quartz which were classified as quartz arenites to sublitharenite and subarkoses, this suggests a recycled orogen source for the sandstones.Shale in the study area shows patches of CaCO3 indicating the presence of biogenic materials.And the reddish brown colouration of clay suggests ferruginization.The geochemistry revealed low values for K2O/Al2O3 ratio coupled with high average values of Plagioclase Index of Alteration (81.64% and 73.80%),Chemical Index of Alteration (79.22% and 71.52%) and Chemical Index of Weathering (82.41 % and 75.03%) for Idogun and Lewumeji wells respectively.This values indicate intense weathering condition.The plots of Log (Fe2O3/K2O) against Log (SiO2/Al2O3) revealed sediments dominated by Fe -sand and Fe -shale.Also, Al2O3-( K2O+CaO+MgO)-( Fe2O3+MgO), (AKF) ternary plots reveals that the sediments are derived from continental environment.The Log (K2O/Na2O) against SiO2 and the discriminant function plots indicate sediments deposited within the passive margin.Also, the Trace elements ternary plots of Th-Sc-Zr/10 and Th-Co-Zr/10 reveal deposition within Continental Island Arc and Passive Margin.The discriminant function plots characterized the sediments as Mafic Igneous rock and quartoze sedimentary provenances with minor input from Intermediate and felsic igneous provenances.The chondrite normalized REE plots show enrichment of Light REE over Heavy REE in the study area with negative Europium and Cerium anomalies greater than 1.This indicated an oxidising and a shallow marine environments.The REE pattern is similar to those for the Upper Continental Crust sediments (UCC).Conclusively, the study shows that the sediments in the study area have multiple provenances subjected to high weathering conditions and were deposited within an oxidizing and continental to shallow marine settings.
Research Guides: Downloading e-books from the library collection: Downloading on a computer

This guide provides instructions on how you can download e-books in the library collection from several different platforms.
A Study of Singapore Music Teacher Training System

이 연구는 싱가포르의 교육 시스템 중 음악교사가 되는 경로를 자세히 살펴봄으로써 싱가포르 음악교사 양성 과정의 특징을 탐색하고, 우리나라의 음악교사교육에 주는 시사점을 발견하고자 하는 것이다. 이를 위해 싱가포르 교육부, 국립교육원과 난양기술대학교, 예술대학의 홈페이지 자료들을 주로 살펴보고 분석하였다. 연구 결과는 다음과 같다: 1) 싱가포르는 음악교사가 되는 길이 3가지(디플롬, 학사, 교육학 석사)가 있으며 다양한 학문적 배경에서 접근할 수 있다; 2) 높은 학업 성적과 능력들(영어, 음악능력 등등)을 요구하고 있다; 3) ICT, 세계음악, 대중음악 등과 관련된 다양한 음악교육 과목이 필수이다; 4) 평균적으로 15주간의 교육실습에서 교사와 교수가 교생을 면밀히 지도한다; 5) 교육부가 학비를 지원하므로 3년간의 의무복무가 있다.The purpose of this study was to explore the characteristics of Singapore s music teacher training process. The research method was to investigate and analyze the information regarding this topic mainly through the web sites of Singapore Ministry of Education, National Institute of Education, Nanyang Technological University and Ats Institutes in Singapore. The results of the study are: 1) Singapore has three tracks of music teacher training courses(diploma, bachelor degree, postgraduate degree in education) so that diverse academic backgrounds could approach; 2) high level of academic standards and competencies(English proficiency, music audition etc.) are demanding; 3) various music education subjects related with ICT, world music, popular music are required; 4) during the practicum period, professors and teachers closely supervise a student teacher for 15 weeks in average; 5) payment of a tuition fee by the Ministry of Education results a 3 year teaching bond.
Comparing phonetic changes in computer-directed and human-directed speech

This paper presents a study that examines the difference of certain pho-netic features between human-directed speech (HDS) and device-directed speech(DDS) in human-human-computer interactions. The corpus used for the analysesconsists of tasks performed by participants in cooperation with a human confederate and/or a computer-based interlocutor. This includes distributional and temporalanalyses, examining the similarities and differences of the overall distribution ofthe measured features and time-based changes throughout the interactions. Thefeatures fundamental frequency, intensity, and articulation rate were selected foranalysis. Results show significant differences in a majority of the cases for twoof the three selected features as well as insights regarding the participants’ speechbehavior during the interaction. These outcomes provide a look into further aspects of HDS and DDS and speech-related features in conversation analysis, whichmay help studies in topics like addressee detection or human-computer interaction(HCI).
Automatic Generation of Patient-specific Gamma Knife Treatment Plans for Vestibular Schwannoma Patients

In this thesis a new fully automatic process for radiotherapy treatment planning with the Leksell Gamma Knife is implemented and evaluated: First, a machine learning algorithm is trained to predict ...
LibGuides: 360 Content at the Digital Scholarship Lab: Getting Started

This guide will go over the basics of creating video and photography for the 360 in the Digital Scholarship Lab. It will touch on shooting video, editing, and screening content in the 360.
Sketch-based image retrieval via CAT loss with elastic net regularization

Fine-grained sketch-based image retrieval (FG-SBIR) is an important problem that uses free-hand human sketch as queries to perform instance-level retrieval of photos. Human sketches are generally highly abstract and iconic, which makes FG-SBIR a challenging task. Existing FG-SBIR approaches using triplet loss with $ \ell_2 $ regularization or higher-order energy function to conduct retrieval performance, which neglect the feature gap between different domains (sketches, photos) and need to select the weight layer matrix. This yields high computational complexity. In this paper, we define a new CAT loss function with elastic net regularization based on attention model. It can close the feature gap between different subnetworks and embody the sparsity of the sketches. Experiments demonstrate that the proposed approach is competitive with state-of-the-art methods.
LibGuides: Cataloging Legal Literature: Overview

Cataloging Legal Literature, 5th Edition, describes the authors' understanding of current descriptive subject cataloging and classification practices for legal materials.
NeuralMIcePaHC (2020-05-07)

The Neural Machine-Parsed IcePaHC is a machine-parsed treebank which consists of Icelandic texts from the 13th to 20th century, mostly Icelandic sagas. The texts were parsed using the IceNeuralParsingPipeline, a parsing pipeline which includes an Icelandic model of the Berkeley Neural Parser along with pre- and postprocessing steps. The parser was trained on IcePaHC and the parsing scheme of the treebank is therefore the same, although the treebank does not include empty phrases or lemmas. The treebank includes 52 texts. The total word count is 1,716,429 and the total number of clauses is 167,815.
Ethnic Component of Content of Pedagogical Education: Functional Possibilities and Expected Social Effect

The present article is devoted to the actual problem of determining the functional possibilities and social significance of the ethnic component of the content of education. The object of study of authors is ethnopedagogical training of future teachers in the pedagogical college. The purpose of the undertaken article is to identify what tasks to be carried out by the ethnic component of the content of education and to predict the socially significant results expected from its implementation. The reasons for including the ethnic component in the content of pedagogical education and the principles of its formation are considered, the role, importance and functional purpose of the ethnic component in the content of pedagogical education are determined. The representation of ethnic component in the structure of professional training of future teacher in the conditions of college is analyzed and the adequacy of ethnic component for the formation of polycultural personality of the future teacher is revealed on the example of the qualification curriculum 0111083 Teacher of foreign language.
Deep learning for occlusion aware RGB-D image completion for structured light measurements

In our work we propose a deep learning solution to complete RGB-D images that are acquired by a NIR structured light scanner with an additional RGB camera that measures the visible spectrum. Building on works on image inpainting, we designed and trained a neural network architecture that takes the available fringe and color images as well as the reliably measured depth information and completes the depth images. We particularly focus on occlusion-caused image artifacts that naturally occur due to geometric visibility constraints. Hence, we are able to reconstruct a dense depth image from the viewpoint of the RGB camera, which can be used for further post-processing and visualization purposes.
A Grid-based Invisible Watermarking for .Jpeg Images Using Least Significant Bit

Internet is a one stop centre for users to download any media file such as image, audio and even videos. It is an excellent distribution system for digital media as it is inexpensive, eliminates warehousing and stock and user-friendly. However, there is an issue where user may copy or share the data illegally which eventually can increase the risk of privacy level of the media. Digital watermarking is introduced in order to solve the issue where it can provide copyright protection of the media and also to provide ownership that can be used to protect data from piracy. An efficient scheme of invisible watermarking is that it has to be able to overcome attacks on social media such in a way where when people download and crop any image from social media, the owner of the image can proof that the image is rightfully his. The loss of synchronization caused by geometrical modifications of an image, such as cropping, increases the difficulty of watermark detection, especially for invisible watermarking schemes. In this research, the Spatial Domain technique based algorithms were considered and two experiments were conducted in where one is text-based watermark embedding and another is image-based watermark embedding, The text-based watermarking method preserved the watermark after being uploaded and download to social media but decreases in terms of size of image. For the case of image-based watermark, the watermark was preserved for images with minimal colours or solid colours. It has also survived the watermark originality once being uploaded to social media.
LibGuides: New Technology on the Horizon: Log in Summon

A look at the technology and electronic resource advances coming to the Xavier University of Louisiana Library.
A tuna dismantling education system in virtual reality

This article proposes a virtual reality (VR) system to equip knowledge and skill of the tuna dismantling, they have to learn it in hands-on style as well as in conventional lecture and self-study styles. However, high cost of tuna gives them less chances of the practical work. Therefore, a VR based system is proposed as a supplemental tool, in which the students can study and practice dismantling the tuna in a virtual space. The proposed system consists of PC, a HMD for VR and controllers for both hands. One controller is assumed to be a cutting knife, and the another is used for tracking the position of the other hand. The system encourages the user to cut the virtual tuna with the controller as the cutting knife. From position and direction of the knife when the knife is cut in, the system determines the correctness of the cutting. If the cutting is within normal range, the system represents the cutting and encourage the user to proceed. If not, the system give caution by message and/or vibration to the user and encourages him/her to re-cut in. The system has another mode called "test mode." In the test mode, the system gives no caution/hints to the user, while the system determines the correctness of the user's action (cutting). The accumulated determination is converted to score, so that the user can easily understand his/her level of achievement. Thus, the system is expected to be effective as a supplemental and continuous study tool.
A statistical testing procedure for validating class labels

Motivated by an open problem of validating protein identities in label-free shotgun proteomics work-flows, we present a testing procedure to validate class (protein) labels using available measurements across N instances (peptides). More generally, we present a non-parametric solution to the problem of identifying instances that are deemed as outliers relative to the subset of instances assigned to the same class. The primary assumption is that measured distances between instances within the same class are stochastically smaller than measured distances between instances from different classes. We show that the overall type I error probability across all instances within a class can be controlled by some fixed value (say α). We also demonstrate conditions where similar results on type II error probability hold. The theoretical results are supplemented by an extensive numerical study illustrating the applicability and viability of our method. Even with up to 25% of instances initially mislabeled, our testing procedure maintains a high specificity and greatly reduces the proportion of mislabeled instances. The applicability and effectiveness of our testing procedure is further illustrated by a detailed example on a proteomics data set from children with sickle cell disease where five spike-in proteins acted as contrasting controls.
How To Use Google Voice, An Amazing Free Phone Service

In this blog post, I will tell you everything you need to know about Google Voice. If you have multiple phones with different numbers, you should ...
LibGuides: Get Connected! with Hekman Library: Home

Follow our quick series of orientation modules to get connected to library resources and services
Library Guides: Doing Your Research From Home: Finding & Using E-Books

This Library Guide will give you all the basics needed to successfully do your research from home.
A prática do enfermeiro auditor: uma revisão da literatura

The nursing audit becomes important in improving the quality of nursing care provided in health institutions.Currently, the trend of the nurse auditor's performance involves, in addition to the bureaucratic conception focused on costs, the management of resources combined with product quality, that is, assistance and care to the client.The objective of this study was to conduct a survey and analysis of the technical-scientific production about the practices of the professional nurse auditor.To carry out the bibliographic research, 12 national articles on the subject were selected, indexed in Lilacs and SciELO.After analyzing the articles, two categories emerged: assistance cost audit and quality of care audit.The study showed that the nurse auditor has a growing insertion in the
Building WordNet for Afaan Oromoo

WordNet is a lexical database which has many relations to disambiguate the sense of words for natural languages.From the WordNet relations synonyms and hyponym has major role for natural language processing and artificial intelligence applications.In this paper, word embedding (Word2Vec) and lexico-syntactic pattern (LSP) are developed to extract automatically synonyms and hyponyms respectively.For this study, the word embedding is evaluated on two specialized domain algorithms such as a continuous bag of words and Skip Gram algorithms and show superior results.Applying word embedding (Word2Vec) algorithms for Afaan Oromo texts has been registered 80.09% and 85.04% for the continuous bag of words and Skip Gram respectively.According to the result achieved in this study, the skip-gram algorithm does a better job for frequent pairs of words than a continuous bag of words.But, a continuous bag of words algorithm is faster while skip-gram is slower.A lexical syntactic pattern with the combination of Word2Vec and without Word2Vec is also evaluated using information retrieval evaluation metrics such as precision, recall and F-measure to extract hyponym relation from Afaan Oromoo texts.The precision, recall and F-measure have been registered by lexical syntactic patterns without the combination of Word2Vec is 66.73%, 72%, and 69.26% respectively and with the combination of Word2Vec 81.14%, 80.8%, and 81.1% have been registered for precision, recall and F-measure respectively.There are factors that could affect the accuracy of results: 1) the style of writer of Afaan Oromoo i.e. they write a noun phrase with many adjective to express the noun for the reader; and, 2) it is possible that some instances of the LSP are missed due to misspellings and other typographical errors.
@danagins are we planning a remote #EDCampCT ...

@danagins are we planning a remote #EDCampCT this year? Gotta ton of experience doing online unconferences if people need help organizing
METODE PEMBELAJARAN MULTISENSORI DALAM MEMPENGARUHI KEMAMPUAN BAHASA ANAK USIA 5-6 TAHUN DI TK. AL-ISLAM MARON GENTENG BANYUWANGI TAHUN AJARAN 2018-2019

This study aims to find out about the influence of multisensory methods in improving the language skills of children aged 5-6 years in  Al-Islam kindergarten Maron Genteng Banyuwangi in the 2018-2019 school year. Explaining about the 7 subjects studied 5 boys and 2 girls and the activities carried out in the school related to the multisensory method. This study uses descriptive qualitative research methods. The technique in collecting data here uses data triangulation in the form of observation, interviews and documentation, as well as source triangulation. The results of this study can be concluded that the multisensory learning method influences the language skills of children aged 5-6 years in the Al-Islam kindergarten Maron Banyuwangi evidenced by not only facilitating children's activities in school but also facilitating the activities of children at home. This is evidenced by interviews with parents from each research subject.