Reviewerly/exHarmony huggingface dataset:
ANNETT-O: an ontology for describing artificial neural network evaluation, topology and training

Deep learning models, while effective and versatile, are becoming increasingly complex, often including multiple overlapping networks of arbitrary depths, multiple objectives and non-intuitive training methodologies. This makes it increasingly difficult for researchers and practitioners to design, train and understand them. In this paper we present ANNETT-O, a much-needed, generic and computer-actionable vocabulary for researchers and practitioners to describe their deep learning configurations, training procedures and experiments. The proposed ontology focuses on topological, training and evaluation aspects of complex deep neural configurations, while keeping peripheral entities more succinct. Knowledge bases implementing ANNETT-O can support a wide variety of queries, providing relevant insights to users. In addition to a detailed description of the ontology, we demonstrate its suitability to the task via a number of hypothetical use-cases of increasing complexity.
Lessons learned: on the challenges of migrating a research data repository from a research institution to a university library

The transfer of research data management from one institution to another infrastructural partner is all but trivial, but can be required, for instance, when an institution faces reorganization or closure. In a case study, we describe the migration of all research data, identify the challenges we encountered, and discuss how we addressed them. It shows that the moving of research data management to another institution is a feasible, but potentially costly enterprise. Being able to demonstrate the feasibility of research data migration supports the stance of data archives that users can expect high levels of trust and reliability when it comes to data safety and sustainability.
General Deformations of Point Configurations Viewed By a Pinhole Model Camera

This paper is a theoretical study of the non-rigid structure from motion problem: what can be computed from a monocular view of a parametrically deforming set of points? We treat various variations of this problem for 3D affine and general smooth deformations (under some mild technical restrictions) with either a calibrated or an uncalibrated camera. We show that in general at least three images related by quasi-identical deformations are needed to have a finite set of solutions to the points’ structure.
Development of Augmented Reality Application for Chemical Bond

Chemical bond in Chemistry for secondary school education is one of the subjects in science courses that are difficult to understand by most students. There are many factors that can cause this problem such as from the learning method, the use of education tools and understanding level among students. Some of the problems are such as it is difficult to understand the concepts and processes in chemical bonds. The lack of use of learning tools also creates less interest among the students. This snidy also about the use of augmented reality technology and how to implement it in learning. Augmented reality is a technology that allows users to interact with virtual object in real situation. Thus, an application Augmented Reality for Chemical Bond is developed as one of the solutions to solve the situation. The objective of this snidy is to create and develop the application and to test the functionality of the application. This application is combined with multimedia elements such as text, graphic and animation in providing explanation about the process of chemical bond. User Centered Design (UCD) development model is used as a guideline in the development of the snidy. Application of 3D Max Studio, Unity 2017.1.2, Adobe Photoshop CS6 and Vuforia will be use in the process of creating this product. It will be developed in the form of an android application to make it more user friendly. The Augmented Reality for Chemical Bond has gone through the evaluation process by using feedback form and based on the data analysis from the evaluation, it has been shown that this application can be used by users with some improvement.
How Does the Alteration of an Avatar’s Proportions Affect Experience and Performance When Controlling It?

Despite claims such as ‘you are the controller’, designers of videogame characters do not appear to create player avatars using any criteria other than aesthetics. Given the demonstrated malleability of the human body image, the purpose of this study was to investigate whether the disparity between the player’s body and its representation on screen might affect player experience. This was achieved using a disproportionately sized avatar when using a full-body motion sensing device, the Microsoft Kinect™. The results demonstrated that drastically disproportioned avatars disrupted a user’s ability to effectively control it, but also their experience of their own bodies, and could lead to discomfort. However, it was also discovered that a 20% lengthening of the upper arms increased reach without causing the avatar to become incongruent to the user or affecting their ability to control it; in fact the results showed that improvements in performance were possible through this. In considering these results we propose that the design of avatars is not ‘neutral’ and designers of systems that make use of natural motion interfaces should carefully consider the design of the avatars given their possible impact on the performance and perception of users.
Subject guides: Library Search guide: Tips on using Search

Help with using Search, the Library's discovery platform Technical tips, tools, troubleshoots, how to's and FAQs
Teaching of sociology of communication and formative perceptions

Astonished people around the world scrutinize news programs for reliable information about the terrible Covid19 pandemic in an avalanche of false news about the reality of the facts. Real news can be the difference between living or dying for millions of people across the globe although access to real news may be the privilege of a few. News varies on the lethality of the disease, preventive measures and medications that can have an effect on the treatment of the condition, but it is also in this aspect that the peripheral citizens of peripheral countries are the most affected when it comes to reliable information.
Full-Field Imaging With Quantum Illumination

We present a full-field quantum imaging scheme using a quantum illumination protocol that exploits the spatial correlations between entangled photon-pairs. In doing so we exhibit an advantage for this scheme over the corresponding classical scheme in the presence of increasing levels of noise and loss.
LibGuides: Human Resource Management: Home

Library resources guide for the Human Resource Management B.S.B.A. at Saint Joseph's College of Maine
Efficient Digital Practices of Supplemental Vocational Education

Increasing importance and expansion of spectrum of functions of continuing education system in the era of digitalization will facilitate steady vocational and personal development of teachers. Searching for new pedagogical designs of supplemental vocational education can be considered as a force of sustainable development of occupational quality of teachers. In this context, the main aim of this work is to present one of significant constructs of such design of the system of supplemental vocational education: educational e-course. The main research methods are theoretical analysis of psychological and pedagogical, sociological and philosophical sources, analysis of actual data. The obtained result is the structure of educational e-course developed with consideration for decease in teachers’ labor consumption with obligatory preservation of education quality. Expert appraisal of the presented digital construct is based on reviews by teachers of educational entities, where advantages of electronic approach to development of educational course are mentioned and overall efficiency of such education is demonstrated.
Dr. Crumb's School for Disobedient Pets

VR is a powerful and novel medium, yet we are still experimenting on what makes it uniquely magical. After having worked in the VR space for the past 5 years, as a founder of Oculus Story Studio, one of the first engineers on the Oculus Horizon project, and now a co-founder of Adventure Lab, I will talk about how live hosted VR adventures (like social escape games with a live game master) will be the next step forward in solving some of the toxicity and scaling issues for social VR.
State Assessment Method of Fire Control System Based on Fusion of Grey Relational and D-S Evidence Theory

A state assessment method based on fusion of grey correlation analysis and D-S evidence theory is proposed by taking the fire control computer and sensor subsystem of armored equipment as the research object. Firstly, the state evaluation model based on information fusion is established, and the basic knowledge of information fusion technology, D-S evidence theory and grey correlation degree are briefly introduced. Because there are many indicators in the research object and the signals are complicated to process. Therefore, the gray correlation analysis method is used to reduce the redundant index and optimize the index system. Then, the credibility distribution of each index in the reduction set is obtained, and the D-S evidence theory is used to fuse the results of the reduction to obtain the state assessment result. Finally, the gray correlation analysis method and D-S evidence theory constitute a complete information fusion system. The test results of the actual fire control system status data prove that the results are consistent with the prior knowledge, which proves the credibility of the method.
LibGuides: Campus Study Spaces: Duffy

Find places to study or to take a class remotely in one of the many spaces available on campus.
Research Guides: Japanese Kuzushiji & Hentaigana Resources: Komonjo materials

A guide for the Kuzushiji Benkyōkai group hosted by Drs. C. Laffin and J. Mostow in Summer 2020. NB: Kuzushiji is a general term that includes hentaigana and cursive kanji; hentaigana applies specifically to kana.
Library Guides: Teach Anywhere Using Digital Course Materials: Install Creative Cloud

A library guide to creating and providing accessible digital course materials for online teaching and learning.
LibGuides: JOUR 311 News Feature Writing: Home

An advanced writing course that requires in-depth reporting and information-gathering skills. Students will concentrate on learning to write informative, accurate news feature stories that provide detail and context for readers.
ICF: A Shape-based 3D Segmentation Method

As a new method that can contribute to 3D shape analysis, we propose Incremental Contour Flow (ICF), which divides a 3D object into segments separated by boundary surfaces at narrow parts. ICF utilizes a property of distance transform that generates local maxima in a center of swollen part and bottleneck-like structures in a narrow part. Core of segment is defined as a local maximum layer that has a higher value than surrounding layers in a layer structure generated by converting the distance values to integers. Voxels in a surrounding layer of a core are added to the core incrementally, thereby 3D voxels are grouped to as many segments as the cores. As shown in an example to be discussed, ICF can generates combined soap bubble-like boundary surfaces from a 3D object made from merged three spheres. Since human organs tend to be distinguished by its shape in medical 3D images, ICF can be useful in the medical imaging applications.
LibGuides: Library Virtual Arcade: Escape Rooms

A collection of virtual games and activities the library staff have put together. Virtual or blended escape rooms the library has created
A Semantic Search and Recitation IOS Application for Holy Quran

The Holy Quran is undoubtedly one of the most important books for all the Arabic/Islamic People, covering too many concepts and topics which guide all the Muslims in their life, behaviors, and acts of devotion. This Project is developed to help all Muslims to deal with the Holy Quran easier and faster. as this Project allow them to search the Quran for specific Keyword or Verse, and for a Concrete Topic or Conceptual Topic which is a challenging task. It also helps them in its Memorization and Recitation. This project consists of two parts; the first is a concept-based Search Engine for Holy Quran based on a Deep Learning Model called 'word2vec' used to search in the Quran using topic or concept with accuracy about 70%. This search engine is built through four phases. First one is to build a new Quran dataset in which we annotated each verse with it’s related topic using Mushaf Al-Takweed, Second, we collect large classic Arabic corpus which is about 40 million words, then we trained our word2vec model using this corpus, third, we get the vector of each topic in our dataset and query’s vector using our word2vec model. Finally, we get the most relevant topic by calculating the cosine similarity between query’s vector and topics’ vectors and retrieve its verses from our dataset. We calculated our system’s accuracy by collecting about 300 queries using google form and tried them on our system which could satisfied about 70% of these queries. The second part is an iOS Mobile Application which used to introduce the search tool and, also, to help users memorize and recite the Quran using voice and help them know their mistakes. This system has high accuracy in evaluating users’ sayings in comparison of other applications.
Analysis on the Current Situation of Entrepreneurship Education in Colleges and Universities

The core content of education of innovation and entrepreneurship in colleges and universities is to cultivate education for college students' entrepreneurial spirit and entrepreneurial ability. Entrepreneurial ideas, the innovation ability of college students' education can improve the quality of personnel training, improve university students' employment competitiveness, and to play a role in promoting economic development in our country.
Efficient computation of the density matrix with error control on distributed computer systems.

Efficient computation of the density matrix with error control on distributed computer systems
Genetic Algorithm Integrated with Neural-Network for Tolman Mouse Robot Navigation

Mapping building plays an important role in robot navigation, in order to facility agent with high level intelligence and mimic the major function of rat’s space cell, a new mechanism of Genetic Algorithm Integrated with Neuralnetwork(GAIN) was proposed in this paper. Considering the scenario of unknown environment when agent explores the map, weights in neural network remain the same during agent’s lifecycle and will be optimized by genetic algorithm. Several simulation was performed on Unity platform, especial the Tolman mouse maze experiment, including cross position learning experiment, spatial orientation experiment and roundabout experiment, had been reproduced by agent other than real rat. Furthermore, some extension of experiment has also done to further prove the feasibility of the algorithm. Simulation results verified the proposed GAIN algorithm can endow agent with cognitive map function.
Communicative Transformation of Professional Values of Modern Scientific Communities

Today ethics is embodied not only in day-to-day life, but also in the communication that surrounds it. The study of communication in professional communities makes it possible to determine the relationship between declared and practically embodied values in work. Ethical attitudes are not only postulates embedded in ethical codes, but also principles of interaction embodied in the construction of the information space and decision-making. Features of modern communications influence the way professional ethics is structured, which, in turn, affects its content and practical implementation. The communication through the Internet makes scientific work performative, filling it with symbols and labels. Increasingly, communication practices have to be carried out around indicators, and thus communication becomes a conductor of neoliberal reforms in scientific work. Therefore, the consequence of modern forms of communication is the forced utilitarianism of ethics associated with the need to compete in the “scientific market”. The article suggests possible ways to overcome the contradictions of communicative transformations of professional values.
Training a Convolutional Neural Network to Evaluate Chess Positions

Convolutional neural networks are typically applied to image analysis problems. We investigate whether a simple convolutional neural network can be trained to evaluate chess positions by means of p ...
Spatio-Temporal Learning, Reasoning and Decision-Making with Robot Safety Applications : PhD Research Project Extended Abstract

Cyber-physical systems such as robots and intelligent transportation systems are heavy producers and consumers of trajectory data. Making sense of this data and putting it to good use is essential ...
Konnektorer i avancerade svenskinlärares och infödda språkbrukares texter – en systemisk-funktionell analys

The aim of this paper is to examine how Finnish learners of Swedish at CEFR levels B1, B2 and C1 use connectors in written narratives. The use of connectors in learner texts is compared with connector use in texts written by native speakers of Swedish. The theoretical framework of the study is systemic functional linguistics (Halliday & Matthiessen 2014). The study investigates what lexicogrammatical resources learners at different CEFR levels use in order to realize logic-semantic relations and conjunction inside and between clauses and clause complexes.The results show that there are no big differences in how learners at different levels of proficiency use connectors. The more advanced learners at level C1 use less frequent connectors like dessutom (furthermore) and med andra ord (in other words). Compared to the native speakers of Swedish, there are some differences: learners use almost exclusively the connector nar (when) when they realize temporal enhancement whereas native speakers also use the connectors sa (so) and da (then). In case of causal enhancement native speakers use the connectors for and for att (for) when L2 writers use the connector eftersom (because). The results correspond to the descriptors in the CEFR. In future research, the use of connectors could also be studied during the writing process and not only in products. Furthermore, it would be advisable to examine the use of connectors in different text types.
Quantum-enhanced agents: causal machine learning in a quantum world

The failure of machine learning models to accurately capture causal relationships is becoming increasingly well understood, leading to an explosion of casually motivated machine learning techniques. In this talk we consider the quantum case: can we learn causal structure in a quantum world? We introduce a quantum causal machine learning framework and also consider the possibility of a quantum enhanced agent that learns via explicitly quantum interventions. The latter model of a quantum agent uses optical probes to learn about the external world in a manner that improves upon the classical analogue.
PEMBELAJARAN SPEAKING MELALUI PENDEKATAN CONTENT-BASED INSTRUCTION BAGI GURU-GURU SMA/SMK HARAPAN BATAM

The aim of national education in Law No.20 of 2003 is to develop the potential of responsible, healthy, knowledgeable, capable, creative, independent, democratic, and noble students who believe God Almighty. The noble aim of education in Indonesia is to implement attitudes, knowledge, and skills. Implementation of curriculum 2013 has a positive impact in improving the quality of education in Indonesia. In each implementation of teaching, students are taught to prioritize inductive thought more than deductive thought because curriculum 2013 uses a scientific approach. Learning English is the compalsory subject that uses a scientific approach in high schools. English teachers must have competence in transferring knowledge. But they are constrained in application of a scientific text-based approach to teaching English. The purpose of this training is to apply the Content-Based Instruction (CBI) approach to English language learning, especially for teaching speaking at high schools. The method is in the form of interviews (pretest), discussion, and direct practice (posttest) by using Content-Based Instruction approach based on scientific texts. The results of the training are expected to be able to produce teachers who are competent in teaching English and creating the enjoyable learning English so that learners can develop the potential of students.
An Innovative Acceleration Model for Media Analytics

Media analytics (MA) usages are growing rapidly in various application domains. A common pipeline consists of the elements of communication, media processing and content analysis. However, designing systems with both high throughput and scalability is a difficult problem. In this paper, we present a solution which is based on Intel® architecture and has significant innovations on both the hardware and software sides. In contrast with existing accelerators, the new acceleration card supports the entire MA pipeline on the card and has loose coupling with the host. Experiments have shown superior abilities of the system in density, scalability and cost efficiency when used for different video analytics tasks. Deployment of the card in smart city and live streaming use cases is also described.
PÉ DIABÉTICO: A IMPORTÂNCIA DA ADESÃO DO TRATAMENTO FARMACOTERAPÊUTICO NA PREVENÇÃO DAS COMPLICAÇÕES DA DIABETES

RESUMO Introducao: a organizacao Mundial da Saude estima que mais de 180 milhoes de pessoas tem diabetes no mundo, e este numero sera provavelmente maior que o dobro em 2030. Nesse cenario, o Brasil tera uma populacao de aproximadamente 11,3 milhoes de diabeticos, podendo chegar a 23,3 milhoes de individuos com diabetes em 2040. Objetivo: descrever a importância da adesao ao tratamento farmacoterapeutico na prevencao das complicacoes associadas aos clientes com pe diabetico. Materiais e Metodos : trata-se de uma revisao bibliografica. A busca se deu nas bases de dados Google academico, SCIELO, BVS e LILACS. Utilizou-se 37 artigos entre o periodo de publicacao de 2011 a 2019. Respeitou-se o criterio de inclusao de trabalhos com temas relevantes a pesquisa em questao, priorizando as palavras-chaves: amputacao, diabetes, paciente, pe e ulceracao. Conclusao: ressalta-se a importância da adesao terapeutica em sincronia com a equipe multidisciplinar seguida da coparticipacao de familiares neste processo. Entretanto, a adocao de medidas simples como atividades cotidianas, tais como fazer exercicios regularmente, alimentacao saudavel e, dentre outras medidas profilaticas nao medicamentosas, sao as mais recomendadas. ABSTRACT Introduction: World Health Organization estimates that more than 180 million people have diabetes worldwide, and this number is likely to be more than double by 2030. In this scenario, Brazil will have a population of approximately 11.3 million diabetics, possibly reach 23.3 million people with diabetes by 2040. Objective: to describe the importance of adherence to pharmacotherapeutic treatment in preventing complications associated with diabetic foot. Materials and Methods: t his is a literature review. The search was made in Google Schoolar databases, SCIELO, BV, and. LILACS. Thirty-five published articles were found between 2011 to 2019. The inclusion criteria were: themes relevant to the research in question, prioritizing keywords such as: amputation, diabetes, patient, foot and ulceration. Conclusion: the importance of therapeutic adherence of sync with the multidisciplinary team followed by the co-participation of family members in this process. However, the adoption of simple measures such as daily activities such as exercising regularly, healthy eating, and other non-pharmacological prophylactic measures are the most recommended.  Figshare DOI:  10.6084/m9.figshare.12838040