Reviewerly/exHarmony huggingface dataset:
Interface em Linguagem Natural para uma Sublinguagem de Câncer de Pele

This work presents an interface for a Skin Cancer Sublanguage,which uses a non-SQL oriented database technology, called MongoDB,implementing the concept of Natural Language Interfaceto Databases (NLIDB). When compared to relational databases,No-SQL (Not Only SQL) mechanism is more scalable, it providessuperior performance and addresses several issues that a relationalmodel is not designed to solve. All obtained words and their variationsare labeled and stored in a MongoDB database, thus allowingcustomized queries to search and join morphemes. A dictionarywill be used to build dialogs, narratives and diagnoses in a SeriousGame with educational purposes that in addition obtains accurateanswers to the project’s database.
Design and Development of Stretcher Cum Wheelchair

This paper describes about a new design concept of stretcher cum wheelchair for patient. Various type of mobility aids are used to transfer the patient from one place to another. During the treatment mostly wheelchair and stretchers are used as per recommendation by doctor. But is quite difficult to transfer the patient from wheelchair to stretcher or vise versa. This new design helps to reduce the effort to transfer the patient from stretcher to wheelchair because wheelchair become a stretcher and its adjustable.
LibGuides: HACC User Support: Brightspace (D2L) Tutorials

Tech support provides effective and timely technical support for all HACC students, faculty, and staff.
Performance Comparison of Conventional Neural Networks and Deep Learning Network For Cervical Cancer Diagnosis

Cervical cancer is the fourth-most common cause for death from cancer in women. Efforts are being made to develop more efficient techniques for the detection of cancer at the initial stage. Conventional methods require expert pathologists to examine the biopsy slide and classify it. In this regard few concerns have risen such as the deficiency of expert pathologists, lack of technical support to doctors and also lack of awareness among women especially in rural areas. Hence there is a requirement for an effective and accurate system that detects cervical cancer which can be used by health worker to detect cancer at initial stage (as a part of basic health check-up). This paper describes and compares two techniques for the cervical cancer diagnosis. The first   method involves extraction of key features from complex cytology images using image processing algorithm followed by a neural network classifier with back propagation algorithm using MATLAB tool. The major challenge faced in this method is extracting the key features from complex images with overlapping cells, which is further used by neural network for classification. The other method is based on deep learning that uses inception neural network with tensor flow. A comparative analysis is presented for the same image database which is created with a Bangalore based pathology laboratory. The database is of 460 images of which 197 images are cancerous and 263 are non-cancerous images. The analysis proved that deep learning method was able to provide better classification results.
The Relationship Between Population Growth and Economic Growth in Ethiopia

This paper examines the relationship between population growth and economic growth in Ethiopia using time series data from 1980/81-2018/19 and in a multivariate framework.Results from Philips Person unit root tests show that the time series under consideration contain I(1) variables implying that the model adopted(that is, ARDL methodology) is quite appropriate.Result from ARDL Bounds testing indicates that there exists long run relationship (co-integration) among the Ethiopian population growth and economic growth when real Gross Domestic Product (RGDP) is taken as dependent variable.The coefficient of the estimated error correction term is found to be -0.921244 and it is highly significant, further confirming the existence of long run relationship.It means that it takes only one year and about a month for the short run disequilibrium to adjust towards the long run equilibrium .The empirical model reveals that population growth has highly significant positive relationship with economic growth of Ethiopia both in the short-run and long run.Moreover, Toda-Yamamoto and Dolado-Lutkepohi as well as Innovative Accounting Techniques (that is, IRFs and FEVD) approach to Granger causality analysis show that there exists bidirectional causality between population growth and economic growth and also both are witnessed to be strong as of impulse response and variance decomposition results.The implications of the findings are that population is an asset rather than a burden for Ethiopia, and therefore a carefully planned population expansion along with well stable macro-economy, better employment opportunities and expanded quality education given equality and justice in social, political and economic spheres would drive the economic growth and development in the country.
Ανάπτυξη διεπαφής χειριστή ημιαυτόνομου ρομπότ

In the following pages we will refer to the meaning of the terms “Robot” and “Robotics”, its different kinds and categorizations. We are going to analyze the depth of their integration in daily life and the fileds of industry, medicine, space applications, research, services as well as in the field of agriculture.Summit XL Mobile Robot is also an agricultural robot, which is the main subject of this diploma thesis. Its technical and mechanical features are furhtermore analyzed. We will present images about its figure, engine, wheels, cameras, and battery. In addition, we provide images of the joystick that moves it, as well as all the functions and means to use it.Following, there is a detailed description of the robot’s software, which is based on ROS Architecture (Robotic Operating System). We will describe the way to install ROS in terminal of a computer with Linux software. Additionally we will present the selection sequence throught its different deliveries and the installation setup used. We will describe the tools Gazebo, Rviz and Rqt_Graph that will be used.There is a presentation of the working space, stacks and packages, followed by their installation setup. The successful connection between ROS and Summit XL Mobile Robot is thoroughly analyzed. At this point, the incapacity of the robot’s server to connect with ROS is displayed throught messages and images.The elaboration of this diploma thesis was achieved by simulated movement of Summit XL. We will describe the procedure to create Summit XL simulator and the movement commands through ROS. Robot’s movements are obvious via images. These commands could be used on Summit XL Mobile Robot and function just like its simulator.Finally, we mention that the inability to communicate with the robot’s server could be a subject for future research
Hyperparameters impact in a convolutional neural network

Machine learning and image recognition is a big and growing subject in today's society. Therefore the aim of this thesis is to compare convolutional neural networks with different hyperparameter se ...
Subject Research, Course Guides, Documentation: Adirondack Research Library: Primary Sources

This guide serves as a starting point to introduce faculty, staff and students to resources held by the Adirondack Research Library located at the Kelly Adirondack Center of Union College.
HABILIDADES BLANDAS, POTENCIA EL TALENTO ACADÉMICO DE ESTUDIANTES DE PISTA, ISAE UNIVERSIDAD:

Fecha de recepcion, junio 2019Fecha de aprobacion, julio 2019Paginas: 6An extracurricular program developed by the Department of Investigation and Post Graduate of ISAE University during 2017-2019. The instrument used to evaluate the soft skills is compose of 20 items that where group as follow, leadership, communication and proactively. At the same token, to measure the performance in science, humanities, technology, environment and art.
LibGuides: Research Introduction: Information Types - BEAM

With the challenges presented by the Fall 2020 semester and the increased dependence on the UVA Library's online resources, this guide is intended to walk you through the basics of access to our online databases as well as tips and tricks for honing your
Potensi Damar Indonesia Sebagai Bahan Baku Material Kedokteran Gigi

One of the natural resins in the world market which is dominated by production from Indonesia is damar. Damar is a resin produced by the Shorea javanica tree. This resin is known to have the best quality compared to other types of resin. In Indonesia, this plant grows well in Sumatra, Kalimantan, Sulawesi, and Maluku, but is mainly produced in the Krui Coastal area of Lampung in an agroforest system known as Repong Damar. From the Shorea javanica tree, two types of resin are produced, namely damar mata kucing and damar batu. Damar mata kucing is obtained by tapping while rock resin is obtained by picking up resin which drips naturally onto the ground. The resin quality standard is stipulated in the Standar Nasional Indonesia (SNI) 2900.1:2012 for  visual test and SNI 2900.2:2013 for for laboratory tests. Resin has properties in accordance with the requirements of dental materials, such as white to yellow colour, non-volatile, and insoluble in water. But it also has unsuitable properties such as brittle, sticky at room temperature, not heat resistant, flammable, and will change color when stored for a long time. It is concluded that resin modification has the potential to be used as raw material for dentistry, but it needs to be modified and its mechanical properties need to be tested.
Library & Cultural Services: Library Induction: Home

This guide directs users to interactive tutorials, which are designed to provide an introduction to the online and physical library.
LibGuides: How To Build A Simple Website: Databases & Journals

The purpose of this LibGuide is to provide easy-to-follow steps to help you create a simple, yet effective, website for a class and/or business. Throughout this guide you'll find links to resources to help you get your ideas in order and build your websit
LibGuides: Support for Online Teaching/Learning: Home

As you plan for a variety of scenarios in response to the global COVID-19 health crisis, CKLS wanted to share resources you can share with educators, students and parents to support distance learning.
About the image of mother with child in fine arts. Part III (final). XVIII–XXI centuries

Here, issues related to envisioning mother holding a child in fine arts of XVIII–XXI centuries are discussed. Paintings of Vigee-Le Brun, Bouguereau, Monet, Klimt, Renoir, Dali, Rivera, Picasso are represented as well as works of Russian artists Vasnetsov, Vrubel, Kustodiev, Chagall, and modern painters Hanks and Berggren
Motivasi Belajar Dalam Pembelajaran Daring Berbasis Learning Management System (LMS) Schoology Pada Mata Kuliah Probabilitas

This research aims to describe student learning motivation in online learning based on the Learning Management System (LMS) Schoology in the Probability course. The method used is descriptive qualitative method with 54 subjects taking the Probability course. The instrument used was in the form of a questionnaire which included 3 indicators, namely (1) encouragement to learn, (2) persistence in carrying out tasks, (3) existence of efforts to face difficulties in learning. The results showed that 88.89% of students had high learning motivation, 1.85% of students had moderate learning motivation, and 9.26% of students had low learning motivation. Based on the results, it is expected that it can be used as an evaluation related to student learning motivation in online learning based on LMS Schoology. In the online learning process, especially those based on LMS Schoology, it is necessary to pay attention to the technical difficulties faced by students, namely signal difficulties to be able to follow the learning process on time.
Value Intentions in Future Art Teachers’ Professional Training

The article is devoted to the study of future art teachers’ value sphere. A wide range of applications of the theory of values in various fields of knowledge is shown: culturology, psychology, pedagogy, art education, economics; classification of values in science is given. A number of issues is actualized, concerning values in the context of cultural development and at the same time global crises; professional development, competitiveness and life views and needs; development of person’s abilities and his/her self-realization in art creativity. The artistic-communicative, professional-hermeneutic and motivational-need spheres in the future art teachers’ creative self-realization are singled out. These areas are subject to pedagogical influence, while becoming a conglomeration of value intentions of the individual. Theoretical substantiation is conducted and the essence of the phenomenon of future art teachers’ value intentions is determined, which combines the specified multi-vector values. The meaning of the terms “intentionality” and “intentions” is clarified.Emphasis is placed on the importance of value intentions of the individual in the economic projection and compliance of this socio-personal construct with the current concept of student-centered learning.The results of the study of future art teachers’ value intentions, which are formed during professional training and creative activity, are given. The results of the value intentions diagnostics and dynamics of their changes in accordance with future musical art teachers’ professional training are highlighted. Scientific approaches and technologies that effectively influence their value intentions are outlined. It is proved that definition of a conglomeration of value intentions of an individual allows a qualitative choice of methods for the formation of creative and competitive personality of future musical art teachers and teachers of art disciplines in general.
LibGuides: HACC User Support: Zoom

Tech support provides effective and timely technical support for all HACC students, faculty, and staff.
LibGuides: Pages Book Clubs: Blind Date With a Book Club - Fall 2020

This unique book club will be different from the other book clubs than we've done in the past!
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays

Medical imaging contains the essential information for rendering diagnostic and treatment decisions. Inspecting (visual perception) and interpreting image to generate a report are tedious clinical routines for a radiologist where automation is expected to greatly reduce the workload. Despite rapid development of natural image captioning, computer-aided medical image visual perception and interpretation remain a challenging task, largely due to the lack of high-quality annotated image-report pairs and tailor-made generative models for sufficient extraction and exploitation of localized semantic features, particularly those associated with abnormalities. To tackle these challenges, we present Vispi, an automatic medical image interpretation system, which first annotates an image via classifying and localizing common thoracic diseases with visual support and then followed by report generation from an attentive LSTM model. Analyzing an open IU X-ray dataset, we demonstrate a superior performance of Vispi in disease classification, localization and report generation using automatic performance evaluation metrics ROUGE and CIDEr.
Subject Research, Course Guides, Documentation: Adirondack Research Library: Maps

This guide serves as a starting point to introduce faculty, staff and students to resources held by the Adirondack Research Library located at the Kelly Adirondack Center of Union College.
Predicting Container-Level Power Consumption in Data Centers using Machine Learning Approaches

Due to the ongoing climate crisis, reducing waste and carbon emissions has become hot topic in many fields of study. Cloud data centers contribute a large portion to the world’s energy consumption. ...
LibGuides: EBSCOhost databases: Advanced Search: thesaurus searching for a topic

Guide to using EBSCOhost databases This section explains how to use the Thesaurus option to search for a topic.
LibGuides: Technical Support: Internet & Wifi

Get answers to your tech questions. Technical support for students and staff at Olds College is provided by the Learning Commons Service Desk and the Information Technology Department.
Soft Computing Simulasi Ujian Nasional Berbasis Komputer (UNBK) Berbasis Web dengan Penerapan Algoritma Linear Congruent Method (Studi Kasus: SMA Negeri 5 Pekanbaru)

The Computer-Based National Examination (UNBK) is an evaluation system established by Pusat Penilaian Pendidikan, Depdiknas Indonesia. The Computer Based National Examination (UNBK) can reduce human error in both the implementation system and the assessment system. In the face of national exams students and teachers make preparations, one of the steps to prepare UNBK is to try out. As one of the schools that runs the UNBK, SMA Negeri 5 Pekanbaru also try out with open source applications. But the drawback of the application is the randomization of uneven questions and experiencing repetition. Linear Congruent Method algorithm as a random number generator becomes one of the algorithms with a high level of effectiveness. Based on the tests carried   out, randomization using the Linear Congruent Method Algorithm was successful without experiencing repetition and as expected. In addition, all aspects of functionality in this application are as expected and successfully proven through Black Box Testing. And also based on Usability testing of 78 respondents, it was found that 86.14% of respondents strongly agreed that this application was useful, then 86.56% of respondents strongly agreed that this application was easy to use, then 87.24% of respondents strongly agreed that the application This is easy to learn, and 86.26% of the respondents strongly agree that the application produced is as intended.
A Four-Layer Robust Storage in Cloud using Privacy Preserving Technique with Reliable Computational Intelligence in Fog-Edge

The proposed framework of Four Layer Robust Storage in Cloud (FLRSC) architecture involves host server, local host and edge devices in addition to Virtual Machine Monitoring (VMM).The goal is to protect the privacy of stored data at edge devices.The computational intelligence (CI) part of our algorithm distributes blocks of data to three different layers by partially encoded and forwarded for decoding to the next layer using hash and greed Solomon algorithms.VMM monitoring uses snapshot algorithm to detect intrusion.The proposed system is compared with Tiang Wang method to validate efficiency of data transfer with security.Hence, security is proven against the indexed efficiency.It is an important study to integrate communication between local host software and nearer edge devices through different channels by verifying snapshot using lamport mechanism to ensure integrity and security at software level thereby reducing the latency.It also provides thorough knowledge and understanding about data communication at software level with VMM.The performance evaluation and feasibility study of security in FLRSC against three-layered approach is proven over 2 32 blocks of data with 98% accuracy.Practical implications and contributions to the growing knowledge base are highlighted along with directions for further research.
LibGuides: Anthropology 402 (Fall 2020): Finding Images Not Restricted by Copyright

An online guide for Anthropology 402 (Museum Science) for the Fall 2020 semester.. These digital repositories provide public domain and/or Creative Common works.
En exkluderande rätt till självförsvar? - Nödvärnsrätten ur ett genusperspektiv

The right to self defence can be found in the 24 chapter 1§ of the swedish penal code and grants everyone the right to self defence when being subjected to a situation in which it is required to defend oneself by the use of force. However the right to self defence has been criticised for being constructed only to accommodate situations in which the parties have the same abilities to defend themselves. As a result of the construction being based on equal parties, the criticism point out that the situation of battered women is being overlooked. To decide whether or not the criticism is well founded, the essay examines the construction and efficiency of the right to self defence with regard to the situation of battered women. In accordance with its aim, the essay also examines the construction and application of the right to self defence from a gender perspective. Within the scope of the essay the history and pattern of the violence directed towards women, the criminalisation of the violation of a woman’s integrity and the right to self defence from a gender perspective is discussed. (Less)
LibGuides: Library Tutorials: Learning to Research

Online videos and step-by-step tutorials to use the Library resources and complete research assignments. Research help
AUL LibGuides: Air University Research: Searching

A guide on searching and accessing Air University Student Papers Everything vs AU RschLimiters in Primo - by school, etcPoss. a widget to plug and play with a topic
Secure Separate Bit Plane Image Processing for Distributed Video Surveillance System (DVSS/DVC)﻿

For emerging applications such as wireless video cameras, wireless low-power surveillance networks, and disposable video cameras for medical applications. DVC is useful and maybe the best choice. Since the primary objective of DVC is low-complexity video encoding, the bulk of computation is shifted (transmitted) to the decoder, as opposed to a low-complexity decoder in conventional video compression standards such as H.264 and MPEG. Besides the low bit rate, the transmission has to be very secure also. That means the complexity of the used keys should be rather high and the keyspace has to be large to provide enough individual keys for a large wireless sensor network.
Low-Rank Representation-Based Image Super-Resolution Reconstruction with Edge-Preserving

Low-rank representation methods already achieve many applications in the image reconstruction.However, for high-gradient image patches with rich texture details and strong edge information, it is difficult to find sufficient similar patches.Existing low-rank representation methods usually destroy image critical details and fail to preserve edge structure.In order to promote the performance, a new representation-based image super-resolution reconstruction method is proposed, which combines gradient domain guided image filter with the structure-constrained low-rank representation so as to enhance image details as well as reveal the intrinsic structure of an input image.Firstly, we extract the gradient domain guided filter of each atom in high resolution dictionary in order to acquire high-frequency prior information.Secondly, this prior information is taken as a structure constraint and introduced into the low-rank representation framework to develop a new model so as to maintain the edges of reconstructed image.Thirdly, the approximate optimal solution of the model is solved through alternating direction method of multipliers.After that, experiments are performed and results show that the proposed algorithm has higher performances than conventional state-of-the-art algorithms in both quantitative and qualitative aspects.
McGovern Library: Ask a Librarian : Home

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