Reviewerly/exHarmony huggingface dataset:
Factors Affecting Waiting Time for Outpatient Medical Record Documents in General Hospital Dr. H. Moch. Ansari Saleh Banjarmasin

Waiting time of medical record documents should be less than or equal to 10 minutes. The evaluation result of providing medical record documents waiting time in The General Hospital Dr. H. Moch. Ansari Saleh ≤ 31 minutes. This study analyzed the influence factors of storage, management, and procedures of medical records, perceptions of the suitability of human resources for waiting time, and material resources. The research method was analytical descriptive with cross-sectional approach. The sample size is two samples, namely 399 BPJS (health insurance) patient documents and 12 samples of medical record staff. Bivariate analysis using the Multiple Logistic Regression test and Odds Ratio. The waiting time required from outpatient patients is registered until the objective document is available ≤ 41 minutes. So that it can be concluded that the waiting time for medical record documents is relatively long. From the factors that influence the results obtained by the medical record document storage p-value=0.289>0.25;OR=2.648; management of medical records p-value=0.289>0.25;OR=2.086; the procedure for retrieving medical record p-value=0.289>0.25;OR=2.648; transportation of medical records p-value=0.289>0.25;OR=2.648; perception of human resource suitability p-value=0.289>0.25;OR=3.315; material resources p-value=0.289>0.25;OR=2.648. From each variable that there is no influence of factors that influence the waiting time of outpatient medical record documents in the general hospital Dr. dr. Moch Ansari Saleh Banjarmasin.
What Are the “Killer Apps” for HDR? Analysis of SDR Assets to Predict the Potential of HDR

Increasing both the latitude of images and the peak brightness of their display can, in the right conditions, deliver stunning experiences to our viewers. However, there are also conditions where the viewer may not perceive any difference between a standard dynamic range (SDR) and a high-dynamic-range (HDR) source and, even more worrisome, situations where increasing the dynamic range can actually be detrimental to the story. Using a combination of histogrammatic and exposure value analysis methods, the author has reverse engineered the source luminance of a wide array of SDR assets from motion pictures, documentaries, talk shows, cinematic series, and sports to determine which assets offer the best potential to amaze viewers in this early wave of HDR introduction to the public.
Parallel Corpus and the Studies of Korean Language Education.

The purpose of this study is to review the issues related to parallel corpus and previous studies using parallel corpus, and also to examine how to use parallel corpus in the studies of Korean language education. This study starts by summing up the concept, types, and the structure of parallel corpus, and examining problems in construction and use. Next, we review the current trends of language research and language education research using parallel corpus, and then examine the trends of studies related to Korean language education, especially focusing on language contrastive studies. Finally, we would like to conclude what to consider when trying to use parallel corpus in studies of Korean language education, and the direction of the Korean language education research using parallel corpus in the future.
HTML, JSX, and CSS Primer

In this chapter, I provide a brief overview of HTML and explain how HTML content can be mixed with JavaScript code when using JSX, which is the superset of JavaScript supported by the React development tools that allows HTML to be mixed with code. I also introduce the Bootstrap CSS framework, which I use to style the content in the examples throughout this book.
Sensitivity analysis of chaos in a nonlinear pendulum through artificial neural networks

Verifying under what configurations a system will manifest chaotic behavior is a complex task that involves different aspects, ranging from applied mathematics to numerical analysis. Thus, the present work aims at proposing a new method to assess chaos behavior by using Artificial Neural Networks via a Modified Profile Method applied to a significance study in order to determine which constitutive variables of a system most affect the emergence of chaos. A phase portrait was implemented in order to assess the quali-quantitative chaos behavior of a general second-order nonlinear system, applying the Lyapunov exponents and the Poincare map. The results confidently showed that the variations of the damping ratio and natural frequencies were the most important in producing the system to manifest chaos. The second- and third-order interactions did not significantly contribute to the chaotic behavior of the system. The results of all the trained topologies were consistent. In conclusion, the proposed methodology showed a strong agreement with what is presented in the literature.
LibGuides: What's New: Home

Welcome to the Fannin Library's What's New page! Find information on upcoming library events, news, and more.
The insider threat problem from a cloud computing perspective

Cloud computing is viewed as a cost-effective and scalable way of providing computing resources for both large and small organizations. However, as cloud storage is outsourced it is highly susceptible to information security risks. The insider threat may become particularly insidious with the predilection towards cloud computing. Insiders have a significant advantage, as not only do they have knowledge about vulnerabilities in policies, networks or systems but they also have the requisite capability. An `insider&apos; is any individual who has legitimate access to an organization&apos;s information technology infrastructure whereas an `insider threat&apos; uses the authority granted to him/her for illegitimate gain. Fundamentally, the insider threat concern is a complex issue, as the problem domain intersects the social, technical, and socio-technical dimensions. From a cloud-computing perspective, the concept of the insider is multi-contextual and consequently propagates more opportunities for malfeasance. The definition of an insider changes from context to context; an insider is someone who works within an organization that uses a cloud-based system and it also includes a user that works for a cloud service provider. Clearly, the concept of the insider within the cloud-computing domain is amorphous. This chapter intends to define the insider threat and identify the various types of insider threats that exist within the cloud-computing domain. This chapter considers the challenges involved in managing the insider threat and possible mitigation strategies including authentication schemes within cloud-based systems. To this end, this chapter also considers the various mitigation strategies that exist within the technical, social and sociotechnical domains in order to identify gaps for further research.
Improved Particle Swarm Optimization Using Wolf Pack Search

Particle Swarm Optimization (PSO) has excellent global exploration ability, but its local exploitation ability is not ideal. Wolf Pack Search (WPS), which is abstracted from the intelligent predatory behavior of the wolf pack, is an excellent local exploitation strategy and can be used to replace or improve the local exploitation capabilities of other heuristic algorithms. In order to improve the local exploitation ability of Particle Swarm Optimization without affecting the global exploration ability, a hybrid improved algorithm, named as WPS-PSO, based on wolf pack search is proposed. Though the simulation of fixed-dimension and multi-dimensional benchmark functions, and compared with the simulation results of the basic particle swarm algorithm, θ-PSO and Quantum Particle Swarm Optimization (QPSO), the results of 50 times simulations show that wolf pack search can improve the local exploit ability of PSO, and can better solve the multi-dimensional optimization problem.
A focus on literacy and reading

Alun Ebeneezer explains how he and his team put boys' literacy at the centre of teaching and learning
Extended Link Relationships

This document defines XREL, a data format for describing extendedhypermedia relationships identified by Uniform Resource Locators.
ToyArchitecture: Unsupervised learning of interpretable models of the environment

Research in Artificial Intelligence (AI) has focused mostly on two extremes: either on small improvements in narrow AI domains, or on universal theoretical frameworks which are often uncomputable, or lack practical implementations. In this paper we attempt to follow a big picture view while also providing a particular theory and its implementation to present a novel, purposely simple, and interpretable hierarchical architecture. This architecture incorporates the unsupervised learning of a model of the environment, learning the influence of one’s own actions, model-based reinforcement learning, hierarchical planning, and symbolic/sub-symbolic integration in general. The learned model is stored in the form of hierarchical representations which are increasingly more abstract, but can retain details when needed. We demonstrate the universality of the architecture by testing it on a series of diverse environments ranging from audio/visual compression to discrete and continuous action spaces, to learning disentangled representations.
Consuming a RESTful Web Service

In this chapter, I address the example application’s lack of permanent data storage by creating a web service and using it to manage the application’s data. The application will send HTTP requests to the web service to retrieve data and to submit changes. I start this chapter by showing you how to consume a web service directly in a component and then demonstrate how a web service can be used with a data store. In Chapter 24 , I explain how to use GraphQL, which is an alternative approach to dealing with web services. Table 23-1 puts this chapter in context.
Finding and tracking local communities in social networks using differential geometry

Community detection methods in networks can be classified into two domains, global methods and local methods. Many networks are typically very large, making the global community detection methods impractical due to the computational expense. In addition, the constant stream of changes in the structure of networks makes it impossible for anyone to know the structure of the network fully. Therefore, local community detection algorithms, which do not need full knowledge of the structures of the network, have met with renewed interest. This thesis focuses on the problem of finding local communities and tracking them in dynamic networks using derivative-based geometric features by mapping the concepts of derivatives into graph space.
Optimization Fuzzy Controller Parameters for Soot Blower in Power Plant

In power plant, soot blower operation plays important role in efficiency. Most soot blowing process on the power plants is using fixed schedule of time. In many instances, certain boiler stages are blown unnecessarily, resulting in efficiency loss. The Target of this research is to optimize the control of soot blowing fuzzy logic techniques.
Energy-Aware Virtual Data Center Migration

Recently, the concept of virtual data center (VDC) has attracted significant attention from researchers. VDC is made up of virtual nodes and virtual links with guaranteed bandwidth. It offers elasticity and flexibility, which means VDC can adjust resources dynamically according to different requirements. Existing studies focus on how to design the optimal embedding algorithm to achieve high success rate for the virtual data center request. However, due to the resource of physical data center changes over time, the optimal solution may become sub-optimal. In this paper, we study the problem of virtual data center migration and propose an energy-aware virtual data center migration algorithm, called CA-VDCM-ACO. This novel algorithm leverages the migration technique to further reduce the energy consumption with the success rate for the physical data center guaranteed. The extensive experiments show that our algorithm is very effective to reduce the energy consumption.
Towards a Suburban Quantum Network Link

We report on progress on achieving heralded entanglement between atoms separated by several kilometers. This work is based on recent achievement of entanglement generation over a distance of 400 meter.
Computational Complexity and Partition Functions (Invited Talk).

This paper is an extended abstract of my STACS 2019 talk Computational Complexity and Partition Functions.
Research on ESP Teaching Theory and Practice of College English for Special Purpose

In the research setting of College English curriculum, the EGP teaching model no longer meets the requirements of the application oriented English course for personnel training, and ignores the communicative competence of College students. On this basis, the improvement of the College English curriculum into the ESP teaching program, in Special English ESP teaching under the guidance of the theory, analysis of the advantages of ESP teaching and practice strategy, the positive role of ESP teaching into full play.
Discrete Hashing Based on Point-Wise Supervision and Inner Product.

Recent years has witnessed an increase popularity of supervised hashing in vision problems like image retrieval. Compared with unsupervised hashing, supervised hashing accuracy can be boosted by leveraging semantic information. However, the existing supervised methods either lack of adequate performance or often incur a low quality optimization process by dropping the discrete constraints. In this work, we propose a novel supervised hashing framework called discrete hashing based on point-wise supervision and inner product (PSIPDH) which using point-wise supervised information make hash code effectively correspond to the semantic information, on the basis of which the coded inner product is manipulated to introduce the punishment of Hamming distance. By introducing two kinds of supervisory information, a discrete solution can be applied that code generation and hash function learning processes are seen as separate steps and discrete hashing code can be directly learned from semantic labels bit by bit. Experiment results on data sets with semantic labels can demonstrate the superiority of PSIPDH to the state-of-the-art hashing methods.
LibGuides: Library Programs and Events: Home

This guide has information about past and current Library and Learning Commons programming and events.
Prioritizing Tasks in Code Repair: A Psychological Exploration of Computer Code

The current study explored the influence of task prioritization on how computer programmers reviewed and edited code.Forty-five programmers recruited from Amazon Mechanical Turk downloaded and edited a computer program in C#.Programmers were given instructions to review the code and told to prioritize either the reputation, transparency, or performance aspects of the code, or were given no prioritization instruction.Code changes and remarks about their changes to the code were analyzed with a betweenwithin multivariate analysis of variance.Results indicate prioritizing an aspect of the code leads to increased performance on that aspect, but with deficits to other aspects of the code.Managers may want programmers to prioritize certain aspects of code depending on the stage of development of the software (i.e., testing, rollout, etc.).However, managers should also be cognizant of the effects task prioritization has on programmer perceptions of the code as a whole.
A Brief Overview of Developing Convolutional Neural Network Using Genetic Algorithm

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Achieving Greater Concurrency in Execution of Smart Contracts using Object Semantics.

Popular blockchain such as Ethereum and several others execute complex transactions in blocks through user defined scripts known as smart contracts. Normally, a block of the chain consists of multiple transactions of smart contracts which are added by a miner. To append a correct block into blockchain, miners execute these smart contract transactions (SCT) sequentially. Later the validators serially re-execute the SCT of the block. In the current era of multi-core processors, by employing serial execution of the transactions, the miners and validators fail to utilize the cores properly and as a result have poor throughput. By adding concurrency using object semantics to smart contracts execution, we can achieve the better efficiency and higher throughput. Some authors have used read-write STMs (RWSTMs) for the concurrent execution of SCT. Working with higher level operations provide greater concurrency, better throughput and reduces the number of aborts than RWSTMs. In this paper, we develop an efficient framework to execute the SCT concurrently by miner using optimistic Object-Based Software Transactional Memory systems (OSTMs) and Multi-Version OSTMs (MV-OSTM). A proposed block includes SCT, final states of the shared data-items, hash of the previous block and a block graph (BG). BG captures the conflicting relations among the transactions. Later, the validators re-execute the same SCT concurrently and deterministically with the help of BG given by miner to verify the final state. If the validation is successful then proposed block appended into the blockchain and miner gets incentive otherwise discard the proposed block. MV-OSTM and OSTM miner performs 4.5x and 3.86x average speedups over serial miner. Along with, MV-OSTM and OSTM validator outperforms average 32.81x and 29.76x than serial validator.
Education Of 21st Century: Search For A New Research Methodology

The article deals with the problem of modern education, aimed at the development of generic, basic human abilities. At each historical stage of development of human civilization, the question was raised about the specifics of knowledge and experience that must be passed on to a specific generation. This article attempts to clarify the features of the humanitarian principle as a regulative in the construction of a modern education aimed at the development of the human in man. The necessity of the development of humanitarian models of education, allowing forming such abilities is grounded. The questions that the authors pose in this study relate to identifying those aspects and perspectives of interdisciplinary knowledge which make it possible to clarify the principle of humanitarianism and determine the conditions for its implementation in teaching practice. The purpose of the study is to clarify the characteristics of the humanitarian principle in the context of interdisciplinary knowledge. The principle of humanitarian in education is disclosed in detail. The results of the study are presented, clarifying the data principle from the standpoint of interdisciplinary knowledge. The conclusions are made about the implementation of this principle of humanitarianism in teaching practice. Particular attention is paid to the dialogue as the main condition for building the educational process in the context of humanitarian ideas.
Phishing Attack Detection Using Enhanced Classification Method

Phishing attack is major issue. The attacker steals the information from the users machine or insert a malware in that system. When the users are attracted to visit the web page the script is executed to carried out the its task. To detect and prevent these attack various tools and methods are developed. Various phishing detection techniques are proposed. But the phishing attacks are not completely detected because the attacker dynamically changing their approaches. In this paper we propose a dynamic approach which solution to any type of phishing attack. Our idea is to analyze the static and dynamic features of the web page to differentiate phishing and genuine web page using machine learning algorithms. The proposed approach correctly detects all phishing and genuine website without any false positive and negatives. It overcomes many drawback of the existing signature based approaches.
Nonreciprocity with a Nonlinear Superconducting Circuit

Nonreciprocal devices are fundamental for signal routing and noise isolation, however, they are bulky and inherently lossy. Here, we experimentally realize a minimal, passive nonreciprocal device by embedding two superconducting artificial atoms in a waveguide.
Rural Development through ICT Technologies: A Case Study of Uttarakhand

This paper is focused on the online web application “Village Information System (VIS)” which is developed for the development of rural areas. VIS is an online software application which is used as decision support system tool for the efficient management, planning and development of rural areas.VIS is capable to manage all the village related information with ongoing government schemes in a technological environment. VIS acts as an interface, which connects government officials and rural development agencies to village people and vice versa. As a decision support tool, it provides a mechanism for storage and fastest retrieval of village related information in systematic manner on digital platform. Web technologies like HTML, CSS and JavaScript are used as a front-end tool for architectural design of VIS, Oracle 10g as a backend tool for storage of information, Java as a programming language and My Eclipse as a integrated development environment ( IDE) for VIS. As a pilot study, VIS is developed for Darimkhola village of Almora district of Uttarakhand. VIS provides a digital platform which support rural planners, district administrators and policy makers in sustainable planning, implementation and monitoring of various existing & upcoming government schemes in rural areas. On another part, VIS also helps villagers by providing them detailed information of currently available government schemes, their eligibility and procedure for taking benefit out of these schemes. VIS can be accessed 24x7 by using any of the computing devices like computer, Smartphone, tablet, etc.
Research Guides: Assignment | Essay 4 Literary Analysis (Izaguirre): MLA Citations

Spring 2020 | ENGL 1302 (Prof. L. Izaguirre) - Essay #4 MLA resources, including some guidance on integrating your information into your paper.
SCIENTIFIC PRINCIPLES OF COMPUTER MODELING TECHNOLOGIES APPLICATION IN THE PROFESSIONAL TRAINING OF TECHNOLOGY TEACHERS

Potential possibilities of teaching methods using computer-based learning tools based on computer modeling technologies, in connection with the emphasis on the technology teacher thinking development, which is three-component in its structure, subject to designing on the basis of pedagogical theory of teaching based on the interconnection and interaction of conceptual, figurative and active components of thinking can provide a higher level of implementation of such traditional requirements as science, visibility, activity and consciousness of learning as well as the unity of educational developmental and educational training functions.