Reviewerly/exHarmony huggingface dataset:
Integrating CBR with Data in Bayesian Networks for Decision Making in an Echelon Supply Chain Distribution Solution

When developing a causal probabilistic model, that is, a Bayesian network (BN), it is common to incorporate expert knowledge of factors that are important for decision analysis, but there are models where historical data is not available or difficult to obtain, or it is difficult to have a human expert nearby to help.This document explains how data is developed from a discrete/continuous simulated variable through a BN and mixed integerlinear programming (MILP), and the impact of this variable is measured as an important element for the decision-making model.Consider as an additional expert variable.The CBR model and the variable in question is contextualized to support in the decision-making process in a supply chain through two stages, the first is considered multiple factories, with multiple distribution centers (DC) and second, from the multiple distribution centers as it reaches multiple points of sale.As a design of a decision support system for the construction of a supply chain network (SCN) for a range of multiple end products, as well as the determination of factories and distribution centers, it also helps in the design of the distribution network strategy that satisfies all the capacities and requirements of demand of the product imposed through the points of sale.At the end of the work, an evaluation of the performance of two Bayesian networks is carried out, where one of them represents the incorporation of the expert variable using two methods, one of them the receiver operating characteristic (ROC) curve and two a method proposed by Constantinou et al. [2].,Where in both cases the Bayesian network gave a better performance with the expert variable.
ERROR ANALYSIS OF VERB TENSE IN WRITING ESSAY TEXT

The purpose of this study is to analyze students 'mistakes in essay writing especially in verbs and to understand the level of students ability to write English essays. This research method is qualitative descriptive. There were 15 students at SMK Mulia Pratama Vocational School that were used as research samples. In research that yielded: the level of student’s ability to write English essays that require mistakes made on verbs is “fair.". The results of this level of ability are still somewhat lacking in the ability of students to write English by really prioritizing the use of verbs.
A SYSTEMATIC LITERATURE STUDY FROM 2013 TO 2018: THE ROLE OF KNOWLEDGE IN OPEN INNOVATION

Knowledge plays a key role in the process of Open Innovation (OI). Nevertheless, by following the Knowledge Management (KM) lens OI has been barely examined. Therefore the aim of this paper is to provide a systematic review of the knowledge activities examined by previous literature to support OI results. The measures were taken to revise previous studies systematically in order to carry out a valuable literature review. After a collective analysis, we were able to garner a final review on 24articles. We subsequently identified and analyzed them by three major processes of OI. The findings enhanced the understanding of the various sources of knowledge practices and was able identify the best practices based on inbound, outbound and coupled processes to support OI activities. The empirical evidence found in the literature, highlights the shortcomings of the state-of-the-art and proposes possible avenues for studies. Despite knowledge being the most relevant resource integrated in OI activities, this is the first attempt to highlight how knowledge should be managed in an OI context by adopting knowledge lens. In addition to our research, we also recognize relevant topics that have been understudied so far which we are proposing as potential avenues for study.Keywords: Open Innovation, Closed Innovation, In-bound Open Innovation, Outbound Open Innovation, Knowledge Management.JEL Classifications: O10, O11, O31DOI: https://doi.org/10.32479/irmm.9337
A Risk-Based Framework to Inform Prioritisation of Security Investment for Insider Threats

Threats to information security from inside an organisation are difficult to manage as insiders, by definition, have legitimate access to the organisation's information, consistent with their roles.Impacts of insider threats range from minor information compromise perhaps through carelessness, to catastrophic financial and reputational damage.Security managers are required to continually upgrade security measures to reduce the risk posed by insider threats, however with so many security controls to choose from, finding optimal security solutions based on benefit-cost is challenging.We have developed a risk-based framework called Security-in-Depth (SiD) where residual risk is the metric that assists the security manager to make informed decisions on which security packages contribute more to the organisation's security objectives.We present a case study to illustrate the way our framework is applied, customised to manage a range of insider threats.Uncertainties about the future threat spectrum and the future effectiveness of controls are included in the framework to inform the decisionmaking process.
A Study on Reading Strategy in Multimodal Text Reading

The purpose of this study is to derive implications for the reading education by analyzing the patterns of readers'' multimodal text reading strategies. In this regard, nine undergraduate readers examined the process of reading text. The analysis revealed that readers personally created and used reading strategies through (non) formal learning. ‘navigator’ strategies are ‘Select meaningful modes based on informativity’, ‘Following along’ and ‘Selective access to modes based on empirical knowledge’. ‘interpreter’ strategies are ‘Infer meaning through anchoring modes’, ‘Use Schema to infer the meaning of modest’ and ‘Infer text context through Representation Ques’. ‘designer’ strategy is ‘Framing’. Finally ‘interrogator’ strategies are ‘Examine and evaluate the semantic function of modes using interpretive grammar’ and ‘View inside and outside the text’. However, it was confirmed that there are significant deviations in the aspect and level of reading strategies depending on learning. This means that systematic learning is needed. Therefore, some suggestions were made regarding the design of multimodal text reading education.
Image encryption scheme based on a novel fractional order compound chaotic attractor

Many image encryption algorithms have too small key space to prevent exhaust attacks. Based on a novel compound chaotic system, an algorithm with expanded key space is proposed to aim at the problem. Firstly, an adaptive method is provided to design switching controllers during creating a novel compound chaos. Secondly, general Arnold transform is used to realise pixel scrambling technology. Finally, the novel fractional compound chaos is applied in pixel diffusion to improve security of the image encryption algorithm. In numerical simulation, classical colour image, gray image, binary image and non-square image are encrypted sufficiently to identify the encryption algorithm. Both theoretical analysis and experimental results show that the algorithm has larger key space and is suitable for different types of digital images, and encryption image can resist some kinds of external attacks.
VR-Enabled Telepresence as a Bridge for People, Environments, and Experiences

Rather than thinking of Virtual Reality (VR) as enabling geo-distant people to go to a common place, we have a more expansive view of VR as a bridge between people, environments, and experiences. We are interested in using VR and the related technology of Augmented Reality (AR), as tools to(1)bring a distant part of the physical world to someone, and (2) bring someone to a distant part of the physical world. This workshop paper discusses two design explorations we conducted to explore these subtle but important distinctions. We first discuss a unidirectional VR robotic telepresence interface that immerses a remote user in a distant environment, which was investigated for its value in outdoor exploration. We then discuss a bi-directional asymmetric VR-AR system that adds a photorealistic avatar for the remote user on to VR robotic telepresence. The avatar is viewed in third person by the local user as superimposed over the robot, and viewed in first person by the remote user. While the underlying technologies still need much development, we see promise in the ‘VR as bridge’ concept as a way to open up the design space to a critical need for flexible, diverse, and inclusive user needs. CHI2020 Social VR Workshop This workshop is intended to raise interdisciplinary discussions regarding technology, evaluation protocols, interaction techniques, applications, research ethics and legal regulations for social VR as an emerging immersive remote communication tool.
Fusing Reflectance based LDR Images to Generate HDR Image

HDR image reveals the fine details of LDR image. In this paper, we estimate the illumination map by fusing the illumination of long-exposure like reflectance, and short-exposure like LDR images. Then, we generate HDR image by using the illumination of fused and input LDR image. We evaluate our method by using three no-reference quality metric; histogram balance (HB), natural image quality evaluator (NIQE), and colorfulness-based patch-based contrast quality index (CPCQI). We compare our method with two reverse tone mapping methods. We show that our proposed method achieves the best result in terms of visual experience than other methods.
PCI OUTCOMES DATABASE EXPANDS MODEL FOR READMISSION AND MORTALITY TRACKING

UNC Healthcare integrated CathPCI and electronic medical record data (EMR) data to pilot a quality outcomes database. We sought to describe the process, baseline characteristics and initial results.Readmission and mortality fields were identified in the EMR data repository and joined with Cath-PCI
The Role of the Private Sector: The Case for Collaboration, Competition, Cash and Change in Education

This paper turns to the private sector for insight on finding solutions to an impending technical educational crisis. Despite Computer Science majors increasing on college campuses, there continues to be fierce competition among companies for qualified software developers. Further exacerbating the problem is inadequate educational support in Computer Science and Engineering. Though much research exists that examines K-12 and colleges in regards to curriculum, teachers, and technical programs, there has not been much research around tech companies and their role in the addressing the issues facing education in regards to increasing the number of students interested in Computer Science and Engineering. This paper takes a deep dive and interviews four top executives in the tech industry from CTO's, CEO's to a Former VP and General Manager are interviewed to reflect on the private sector's role in education.
Security Check and Safe Review Of The Application

There are many users for online applications and games, where user need to know how good enough the application is, what are the eligibilities required and security check for registration. Here we suggest an advanced review analysis system which provides a platform to registered users to rate a particular application. Security check system will check whether or not the user is satisfying the needed criteria like age, gender and nationality etc for victimization the specific application. Takes reviews of various users, based on their personal opinion, will specify whether or not the application is good, bad, or worst. User can also know what is the eligibility needed to access application. Taking some examples like face book minimum age of 18 is required and nations like China, North Korea, and Iran banned it. Coming to dating applications like tinder and happen the eligibility check is much more important. Even gaming application also have age and gender criteria in order to avoid the rate of addiction.
Reflection on History Education through Marc Bloch’s The Historian’s craft

March Bloch, the French historian murdered by the German Gestapo in 1944 as part of the French Resistance to the Vichy government, is a huge name in the historiography classes taught at most universities across the world. In The Historian’s Craft, Bloch seriously discussed, in depth and in breadth, the intrinsic problems of intellectual legitimacy and the use of history. His basic strategy was to offer people who were not historians a lively description of the way in which historians worked (amongst other things, the book opened with the childish question “What is the use of history?”). What is the use of history? This question is the same as the one raised in history education. This article seeks the answer of this long standing question that Marc Bloch had asked almost 70 years ago through The Historian’s Craft in view of history education. Through Marc Bloch’s The Historian’s craft, we asked the purpose of history education. ‘Why and How to learn history’ is the main theme of this article.
Library Automation System: Book cover recognition using deep learning

With thousands of books across hundreds of disciplines present in a library, manual allocation of books is both time consuming, human intensive, as well as inefficient in terms of monetary costs. The presence of manual labour while providing employment to a section of society tends to slow down the process of lending in addition to increasing the probability of errors. The proposed research work attempts at automating the library book management system there by reducing latency and long queues as well as the potential of making mistakes in the distribution of books. Recent advancements of deep neural networks have improved textual recognition in natural scenes. The system proposed employs a neural network model for text detection and recognition, having the potential to reduce and even eliminate manual labour performed by the staff. This paper attempts to investigate neural networks for the application of library management by proposing our own Optical Character Recognition (OCR) and text matching algorithms. This task further introduces challenges such as getting the exact name of the book as well as dealing with distorted images and varied backgrounds. The system thus developed performs very well with book covers producing results over 60% in accuracy against current models that provide about 40% thereby making the system achieve state of the art performance on book cover information retrieval.
Image Segmentation using Distance Regularized Level Set Evolution method

Group-level methods have been widely used in applications to segment and manipulate the image. Because the re-initialization process can cause serious problems, and can affect numerical accuracy, a new type of system is proposed without re-initialization, during which a new set of levels can be preserved during the development of the level group.Various experiments show that this method is more powerful in configuration and faster and more accurate also compared to the old model known well. The evolution of the level group can be described as a gradient flow that reduces the energy function with the term regulation of distance and external energy that can drive the zero-level movement specified towards the desired positions. This can lead to a new type of development that can be useful to maintain the desired shape of the level group function essentially near the zero-level group, which can be called the DRLSE development.This helps eliminate the use of re-initialization and can be used to reduce errors. The main feature of the set-level model is that one can easily make digital calculations involving curves and surfaces without the possibility of specifying the parameters of objects. Now, how to adjust the level is an important way to split the image. In order to analyze the medical image, it must first be divided into different parts using an image fragmentation process that can only be DRLSE, which can reduce undesirable side effects. Thus, this paper provides a simple application for active contour method using level groups.
A Framework to Build User Profile on Cryptocurrency Data for Detection of Money Laundering Activities

Ever since Bitcoin got its popularity, cryptocurrencies becomes the first choice of investors, tech enthusiasts, and criminals. Nowadays it became a prominent tool for money laundering, hawala and criminal payment system. Money laundering is the process of converting illegal black money to legal white money. This can be done by various ways like transferring money from one account to another via multiple intermediate accounts. Detecting this complex activity is very difficult and challenging, because of the high volume of transactions and bitcoins data structure. There are many methods proposed in different papers to detect money laundering in the conventional banking system. In this study, we proposed a framework to convert the bitcoin's transnational data into a similar data frame of bank's user database, which is used by some existing state of the art intelligent systems to detect the abnormal cluster of transactions and user behavior.
Different Types of Spatiotemporal Classifier and Their Efficiency for Human Gestures

As computers have become additional well-liked, the interest in the strategies to act with computers is additionally growing. For the use of the fullest capability of computers, we want to find ways in which to act with computers. There are several new approaches and technologies are developing to bridging the gap between human and computers. Instructing the computers by human gestures may be a natural means of human-computer interaction (HCI), there are several types of research are in progress during this direction. during this work, we tend to summarize a number of the novel spatiotemporal classifier and their potency to affect statistic information that derbies all sorts of human pose and gestural activities to act with a machine. it's quite difficult to acknowledge the communication in sign language recognition (SLR) among deaf and dumb folks for a typical person and to differentiate the suspicious activities in videos.
THE ROLE OF VALUE-ADDED SERVICES IN DETERMINING THE RELATIONSHIP BETWEEN DYNAMIC PRICING AND CUSTOMER BUYING DECISION, WITH SPECIFIC REFERENCE TO AMAZON.

With the rise of online retail, the sales game has gone up a few notches. Strategies that once proved to be fail-safe ways to secure business have become archaic, leaving companies struggling to develop new tactics to beat their competitors and rein in and retain customers. Even though a lot has changed in how sales-driven businesses approach the future, the pricing factor remains the same in persuading consumers to consider one company over another for the same product or service. The phenomenon of Dynamic pricing has been introduced in the last few years where large quantum’s of data are analysed and optimal prices for items are calculated. The time between the changes in prices depends upon the business and item, but can be as often as every day, or even every hour. Because of this strategy, our company under study, Amazon, is able to adjust to the lower cost of eCommerce and maximize profit on all fronts. With this technique Amazon is able to set flexible prices for products based on current market demands, trends, perishability of the product etc. Dynamic pricing, aka. surge pricing is a pricing strategy in which businesses set flexible prices for products or service based on current market demands. The time between prices, varies depending on the business and the item they are selling and can be as often as every hour, in case of Amazon. Though a vital tool for online sales, dynamic pricing has resulted in upset consumers who may find the inconsistent pricing to be deceitful. This paper, therefore brings in the moderating variable of value added services to understand if they can affect the customer buying intention, even with the negative effects of the Dynamic pricing strategy. The aim and purpose of this study is to understand the impact of dynamic pricing on customer buying intention fluctuation by using value added services as the moderating factor.
Uncovering cognitive constraints is the bottleneck in resource-rational analysis

Abstract A major constraint in resource-rational analysis is cognitive resources. Yet, uncovering the nature of individual components of the human mind has progressed slowly, because even the simplest behavior is a function of most (if not all) of the mind. Accelerating our understanding of the mind's structure requires more efforts in developing cognitive architectures.
RASS Buzz Session: Skeletons, seeds, and sewing machines! Unique non-book items to circulate at your library [slides]

Slides and link to presentation from an NCLA RASS (Reference & Adult Services Section) discussion from February 19, 2020.
DEVELOPMENT OF THE ORGANIZATIONAL CULTURE OF THE EDUCATION LEADER OF EDUCATION BASED ON PEDAGOGICAL SKILLS

The essence of organizational culture of the head of educational institution, its humanistic direction and vectors of development are revealed in the article. Organizational culture (as a phenomenon) in the world theory and practice of management is defined in the humanistic approach to the organization and management of people in it, where the main task of management is adaptation to the external environment and trying to change it through the development of organizational culture, which helps to influence the activities of the organization through established values, norms, traditions, language, etc.; equips executives with a special system of concepts that makes day-to-day leadership of people meaningful and understandable. A great potential in addressing this issue is the process of professional training of executives, during which it is possible to influence both the interests of the organization as a whole and its individual members – teachers.&#x0D; The role of the leader in the development of organizational culture of the modern school is positioned, which requires not only comprehensive knowledge, perfect knowledge of management science, but also true dedication and unlimited responsibility for the task, high pedagogical skills. Analyzing scientific approaches to the study of this problem is necessary to develop methods that would increase the motivation of managers to constantly seek ways to improve management credo, and, as a consequence, create the benchmarks of their professional behavior and organization of management activities. The results of the study are summarized regarding the essence of pedagogical skill, which includes the following components: professional competence, readiness for creative professional activity, pedagogical abilities and pedagogical technique. It is determined that the pedagogical skills of the head of the modern school are considered in the context of introduction of new effective educational technologies, rational use of didactic, material and technological and human resources, achievements of the national pedagogical theory and practice, high level of organizational culture of raising the educational level of the educational cadre.