Reviewerly/exHarmony huggingface dataset:
Broad Phase Collision Detection: New Methodology and Solution for Standardized Analysis of Algorithms

Collision detection is a computational problem focused on the identification of geometric intersections between objects and, in general, proximity relationships among them. Despite its notorious relevance and applications in various computing fields, few authors have proposed solutions that are both general and scalable. Additionally, until the time of publication of the results of this work, there was no standard methodology for the analysis of algorithms, neither in academia nor in the industry: only proprietary scenes and comparative studies had been developed, making it difficult to reproduce and compare results. To tackle the issues previously mentioned, we present a new general and scalable solution for broad phase collision detection and a new methodology for comparative analysis of algorithms, named Broadmark, whose open-source code is publicly available, with the goal of transferring knowledge to academia, industry, and society, so far lacking in the scientific literature. Thus, by doing so, we aim to contribute to the generation of robust and multi-faceted solutions applied to various scenarios and, consequently, to greater transparency, ease of modification/extension and reproducibility of results.1
Strategic Priorities of the University

The final step in the strategic planning of education quality management comes down to setting priorities for the development of the university. This stage is also determined by the individual characteristics of the university (its profile, location, traditions, etc.).The strategic priorities for the development of the university include
Development of Genomic Data PrivacyProtection Model

Cloud Computing Is the Practice of Using A Network of RemoteServers Hosted on The Internet to Store, Manage, And Process Data,Rather Than A Local Server Or A Personal Computer.
A general class of new continuous mixture distribution and application

A generalization of a distribution increases the flexibility particularly in studying of a phenomenon and its properties. Many generalizations of continuous univariate distributions are available in literature. In this study, an investigation is conducted on a distribution and its generalization. Several available generalizations of the distribution are reviewed and recent trends in the construction of generalized classes with a generalized mixing parameter are discussed. To check the suitability and comparability, real data set have been used.
Helping language development in early ages children through home school relations

Abstract : This article aims to see and know the development of language in early childhood where in this case the author can find out what is the factor and what action is done to help the child in developing The development of language through school-home relations so that in schools and parents' homes, the neighborhood and educators in school can help the development of children's language so that what children get in their environment becomes a science that Useful for the growth and development of the data collection techniques used in this research is the technique of data collection and observation studies and qualitative research methods. Based on the technique of data collection and analysis, it can be concluded that the environment or school children will be able to be a factor that can be inhibited and can develop the language of early childhood so that the thing that is done is To help develop early childhood at home and school. Keywords: development, early childhood, languag
L’AEROFOTOTECA NAZIONALE RACCONTA.... il gen. Petronio Malagoli

General P. Malagoli was a founding father of modern defence aerial mapping in Italy. He also had a very distinctive personality and was a generous, bon vivant friend for many. In 2013 he made a gift to Aerofototeca Nazionale of his extraordinary professional/ scientific library: a great asset, for which AFN is truly grateful.
PENGEMBANGAN KOLEKSI PERPUSTAKAAN KAJIAN TEORITIS ATAS KEBIJAKAN, PELUANG DAN TANTANGAN DI ERA INFORMASI

Collection Development is a number of activities related to the determination and coordination of selection policies, assessing user needs, collection usage studies, collection evaluations, collection needs, library material selection, collection maintenance planning and weeding collection of collection resources, and library collections. Principles of Collection Development consist of the objectives of collection development, collection development policies. Library collections are all library materials that are collected, processed, and stored to be presented to the public to meet the user's information needs. Library material procurement consists of determining the type of library material, selection of library materials, selection aids, procurement of library materials and finally doing weeding collections to remove collections from the shelves because they are not in demand, too many copies, there is a recent edition, and the collection is irrelevant. The decision was made based on consideration of the updating, suitability, and physical condition of the document.
Using Data to Engage & Empower: The Why and How of Data Literacy Training

Slides for Train the Trainers session for data literacy trainings, developed by Rice University's Houston Community Data Connections program and Fondren Library.
Geometric Match Filter and It’s Response to Dense Fake Signal

Aiming at the anti-jamming problem of dense false signals caused by interrupted sampling repeater-jamming, the matched filter's process was reexamined based on geometric algebra tools. The geometric matched filter was designed with the projection angle co-angle as the filter output. By comparing with the traditional matched filter under the typical parameters, the advantages of the geometric matched filter to the identification and jamming of jamming are explained. It provides a new perspective for the confrontation between radar and dense false signals.
Program Evaluation for Part-Time Work, Flex-Time Work and At-Home Work in Korea

This study aims to develop the program evaluation plan for three kinds of “Flex-Working” programs such as “Part-Time Work”, “Flex-Time Work” and “At-Home Work” program of the Central Government of Korea. More specifically, this study discusses description of the flex-working programs in terms of program context, purpose, outcome in order to draw out the flex-working program theory model. In addition, the program participants and stakeholders, program contextual factors, primary users of the evaluation and stakeholder involvement with regards to the programs are all discussed in this paper.
What are short stories for

The following pages introduce a discussion about a recent collection of Italian short stories:  Racconti italiani scelti e introdotti da Jhumpa Lahiri .
A Behavior and Prediction of Turbidity in the Fro River (Cundinamarca, Colombia) Through Artificial Neuronal Network (Nar Algorithm)

The present paper considers the behavior and prediction of turbidity in the Frio River, through the application of an Artificial Neural Network (ANN) through the Non-Linear Autoregressive method with the purpose of knowing the characterization of this parameter of raw water quality that has an impact on the purification of water.
Library Research Guides: OpenAthens: Tips and Tricks for OpenAthens Access

This guide provides information for Kaufman Library's transition to OpenAthens authentication of electronic resources with GALILEO. Tips and tricks that will make your access to library resources seamless.
Análise qualitativa de conteúdo do guia de gestão da coleção para bibliotecas públicas

The objective of this work is to verify if the Guide to Collection Management for Public Libraries, developed by the Rede Nacional de Bibliotecas Públicas (RNBP), in Portugal, has the elements that should constitute a collection management / development policy. With the literature review, sought to define and differentiate collection development and management policies and present the elements that can integrate a policy. For a qualitative analysis of the content was used as theoretical model the content of policy defined by the IFLA. In the results it was found that most of the elements used as parameters were not found in the document, however, the guide contains contents not provided for in the model used as the basis. It is concluded that inaccuracy of the selected theoretical model had an effect on the results achieved and that the guide can be used as an instrument for forming collections, as well as guidelines for the development of a collection development / management policy.
PENGGUNAAN KALIMAT TIDAK EFEKTIF PADA PENYUSUNAN NASKAH SOAL BUATAN GURU

The teacher's ability to compile a test script using effective sentences is still very concerning. It is known from the texts compiled by many teachers of SMKN 2 Ngawi that do not have a clear subject or predicate, many word choices are wrong, as well as the use of spelling. Therefore, this study focused on the use of ineffective sentences, especially in terms of equivalence, efficiency, accuracy, and spelling. The method in this research is descriptive qualitative. Sources of data are samples of summative questions in SMKN 2 Ngawi, similar research and relevant literature. The technique of data analysis is through reading a sample text summative questions, marking sentences that contain ineffective sentences based on the characteristics of effective sentences, classifying the ineffectiveness of sentences based on the aspects analyzed, calculating the number of errors, concluding aspects of errors and compiling a synthesis of the analyzed data by interpreting them. The results of this study found that 379 sentences were ineffective, consisting of 25.6% error in equivalence, 12.1% savings, 18.2% accuracy and 44.1% spelling.
Making Data Your Data: Understanding the 5th Ward Through Data

Project: Using existing data and interviews that you conduct with people in your community, you will tell a story of 5th Ward experiences.
Deep Generative Neural Network Models for Capturing Complex Patterns in Visual Data

Deep learning methods underlie much of the recent rapid progress in computer vision. These approaches, however, tend to require costly labeled data. Task-speciﬁc models such as classiﬁers are not intended for learning maximally general internal representations. Furthermore, these models cannot simulate the data-generating process to synthesize new samples nor modify input samples. Unsupervised deep generative models have the potential to avoid these problems. However, the two dominant families of generative models, Generative Adversarial Networks (GAN)and Variational Autoencoders (VAE), each come with their characteristic problems. GAN-based models are architecturally relatively complex, with a disposable discriminator network but, usually, no encoder to accept inputs. Also, GAN training is often unstable and prone to ignoring parts oft he training distribution (mode collapse or mode dropping). VAEs, on the other hand, tend to overestimate the variance in some regions of the distribution, resulting in blurry generated images. This work introduces and evaluates models and techniques that considerably reduce the problems above, and generate sharp image outputs with a simple autoencoder architecture. This is achieved by virtue of two overarching principles. First, a suitable combination of techniques from GAN models is integrated into the recently introduced VAE-like Adversarial Generator-Encoder. Second,the recursive nature of the networks is leveraged in several ways. The Automodulator represents a new category of autoencoders characterized by the use of the latent representation for modulating the statistics of the decoder layers. The network can take multiple images as inputs from which it generates a fused synthetic sample, with some scales of the output driven by one input and the other scales by another, allowing instantaneous 'style-mixing' and other new applications. Finally, with a Gaussian process framework, the image encoder-decoder setup is extended from single images to image sequences, including video and camera runs. To this end, auxiliary image metadata is leveraged in a form of a non-parametric prior in the latent space of a generative model.This allows to, for instance, smoothen and freely interpolate the image sequence. In doing so, an elegant connection is provided between Gaussian processes and computer vision methods,suggesting far-reaching implications in combining the two. This work provides several examples in which the adversarial training principle, without its typical manifestation in a GAN-like network architecture, is sufﬁcient for high-ﬁdelity image manipulation and synthesis. Hence, this often overlooked distinction appears increasingly signiﬁcant.; Syviin neuroverkkoihin perustuvat laskentamenetelmat ovat mahdollistaneet valtaosan viimeaikaisista konenaon edistysaskelista. Usein ne kuitenkin edellyttavat tyolaasti koottua merkittya opetusaineistoa. Tehtavakohtaiset mallit kuten luokittelijat eivat pyri oppimaan maksimaalisen yleiskayttoisia representaatioita tai simuloimaan…
Postgraduate “Management” program design for small and medium business managers

The paper suggests an approach to teaching and implementing research in the master’s degree studies, which are oriented at system training of heads/owners and managers of small and medium-sized businesses that do not have basic management education, but, as a rule, have a higher technical or technological education and sufficient practical experience. Hypothesis of the article is the assumption that the teaching specifics of this segment should be based on interdisciplinary coordination of content, organization of training, and communication. Verifying this hypothesis based on a review of the literature and identifying the specifics of the segment is the overall goal of the article. As a particular corollary we justify a special educational event (a cycle of research seminars) that integrates various components of training students in the master’s program, in the framework of project activities logic that corresponds to the logic of the modern production process. We show the difference between this segment and consumers who are focused on the MBA and MIM programs, and provide examples from Russian reality. Taking into account the consumer characteristics of the segment, we propose an organizational and pedagogical approach to the formation of key competencies in the field of management for students representing this segment. In particular, we argue for teaching students of this group in the frame of the master’s program, based on the project approach both in the content and in its organization. The article notes that the pedagogical features of the formation of project competencies in students of this segment dictate the use of the method of ascending from the abstract to the concrete as a basis for building a general learning strategy. Decomposition of the learning strategy and the master’s thesis research demonstrates the need for interdisciplinary coordination of content, training and organizing communication.
DIAGNOSTIC EXPERT SYSTEM OF ARTHRITIS DISEASE WITH CERTAINTY FACTOR METHOD AT YENNY MIDWIFE CLINIC

The process of diagnosing arthritis that runs currently at the Yenny Midwife Clinic still has to meet directly with Midwife Yenny. Clinics need an expert system to diagnose arthritis due to the large number of patients who want to do the examination plus in terms of diagnosis This clinic ha slightly busy time and is difficult to be consulted on health issues related to arthritis. An Expert system created using the PHP and MySQL programming languages to diagnose and provide the best solution for arthritis that affects patients. This expert system consists of several menus consisting of: diagnosis menu, about the menu, menu of symptoms, illness, knowledge, and admin. Where on the diagnosis menu, medical personnel can immediately diagnose what kind of arthritis they suffer as well as prescribe, advise and regulate medication use without waiting for Midwife Yenny.
Relationship Recognition and Processing of Descriptive Complex Sentences in Chinese English Machine Translation

The processing of complex sentences in C-E machine translation should not only rely on the processing of single sentences, but also go beyond the scope of single sentences. The internal relations between clauses in complex sentences should be deeply investigated. Relational words are of great significance to the hierarchical relationship recognition of Chinese complex sentences by computer. The emergence of pseudo relational words and the lack of relational markers have an impact on the hierarchical relationship recognition of complex sentences. This paper analyzes the differences between the relative words in complex sentences and the heterogeneous words of the same form, and reveals the differences between the relative markers and the different usages of the conjunctions and the relative words in the text. At the same time, this paper also digs out the hidden forms of the absence of relation markers in complex sentences, so as to serve the hierarchical relationship recognition of complex sentences. Among them, there are too many non coordinate complex sentences without specific language markers in Chinese descriptive complex sentences. In order to distinguish the internal relations and realize the correct generation of English translation, this paper puts forward a complete set of rules to determine the relationship according to different situations. At the same time, this paper proposes a method to solve the local problem of some complex sentence processing rules. Finally, it is verified by the experimental system.
Towards Maturity of a Software-based Project Management Methodology Considering a Large-Scale Case Study

This paper explores the challenges of designing a project management methodology for a real large-scale enterprise solution. In this methodology, the performance of the classical waterfall approach versus a new hybrid one are examined in practice. In the hybrid methodology, the analysis and deployment steps of creating an enterprise solution are managed through the classical version while the development step is accomplished under the umbrella of a new Scrum-based version of the agile method. It is also shown that the proposed hybrid methodology is accompanied by new challenges such as the necessity to consider modifications in the organizational chart. The results highlight how the hybrid approach outweighs the classical way in practice. It also includes the required maneuvers of implementing the hybrid approach for the involved parties of a large-scale enterprise solution. Finally, the paper provides managerial insight in the context of applied lesson-learned that could illuminate the complicated path of accomplishing an enterprise solution from A to Z for the future researchers and industrial participants.
Development of mobile application of event assistant and booking sport facilities for UiTM Seremban 3 Campus using wofkflow management system / Ahmad Haiqal Abd Halim, Ahmad Yusuf Che Hassan and Mohd Norhafizi Hambari

The manual processes for applying an event at UiTM Seremban 3 take several steps and day to get an approval. Due to this issue, the new method can be invented with current modem technology. Research is conducted to solve the problem by creating an application that fuses the Workflow Management System (WfMS) in the event application at UiTM. Currently, the application of the event firstly needs to be approved by the club advisor follow by UiTM administration then UiTM facilities and UiTM financial department. This main layer of approval can take many places to visit and time to take just to get an event approval. The integration of WfMS is a suitable method because it defines every important process and level of approval that the application needs to go through. The finding and study for this research can help the administration of UiTM to manage and process the number of event applications more efficient and faster. Besides, it will reduce the steps to get approval for any event. In this research, its content of the step on how to apply the method of WfMS in a mobile application with the use of an android studio. The algorithm for the WfMS is written using Java script in this research. The focus of this research is involving booking sports facilities and to get approval from HEA and HEP depends on the event. Lastly, this application will reduce the time ofa pproval because .this application uses the real-time database. Therefore, the interaction between the student and HEA and HEP will be reduced and shorten the time taken for the event to get approved.
JARINGAN SARAF TIRUAN UNTUK MEMPREDIKSI JUMLAH PENGANGGURAN DI KOTA BINJAI DENGAN MENGGUNAKAN METODE BACKPROPAGATION

Unemployment is a very complex problem because it affects and is influenced by several factors that interact with each other following a pattern that is not always easy to understand. The strategic problem in Binjai City is not much different from that in the Central Government of North Sumatra, namely the high unemployment rate, given the large number of workforce that appears every year, as well as several factors such as age levels and inflation in Binjai City, making it difficult for many people to find work. or what is called unemployment. The lack of maximum efforts by the government and the private sector in creating employment opportunities is one of the triggers for the increasing number of unemployed in Indonesia, especially coupled with the low level of public education and inadequate human resources, which makes people unable to find work. One of the methods used in predicting a data is Artificial Neural Network using the backpropagation method. With a maximum epoch between 0 - 10000 with a learning rate of 0.2 and a target error ranging from 0.01 to 0.1 to get convergent results. The results of the prediction of the number of unemployed can be predicted by some experiencing an average predicted increase and some experiencing a decrease.
Using online-learning in audit education: Impact on student satisfaction and knowledge sharing processes during the outbreak of covid-19

Teaching and learning processes are assumed to be taken place in a face to face classroom However, these processes are changed fully or partly due to the use of Internet and network technologies that provide new means of communication These changes have shifted the education method from tradition classroom settings to online learning program This shifted paradigm also influenced student's satisfaction in learning and the knowledge sharing processes among teachers and students This research investigates the student satisfaction and knowledge sharing processes between traditional classroom environment and online learning method, thereby suggesting recommendations for the development of online learning method We employ a comparative case study to analyze the evaluation of learners about traditional and online learning activities in an auditing course To collect data, the study conducted a survey on student's feedback about their satisfaction and knowledge sharing process in the course The collected quantitative data were analyzed using statistical analysis including descriptive statistics, exploratory factor analysis and Cronbach's alpha Our findings indicate that there are different impacts on students' satisfaction and their knowledge sharing process between two learning environments Resulted findings suggest that if lecturers are able to apply knowledge sharing activities in online learning environment, it is possible to enhance the knowledge sharing process and student's satisfaction Future implications and suggestions for programs are provided in light of the findings © 2020 Academic Conferences Limited All rights reserved