Reviewerly/exHarmony huggingface dataset:
Organizational Memory Knowledge Management Marketing Innovation and Cost of Quality Empirical Effects from Construction Industry in Jordan

The present research paper was conducted to achieve fourfold objectives. First, to explore the effect of organizational memory (OM) on marketing innovation (MI). Second, to recognize the effect of OM on cost of quality (COQ). Third, to verify the effect of knowledge management (KM) on MI. Finally, to find out the effect of KM on COQ. Therefore, the paper hypothesized that OM is significantly and positively related to MI as well as to COQ, and that KM is also significantly and positively related to MI and COQ. The sample of the research consisted of 87 companies working at construction industry in Jordan, from which data were collected using a questionnaire developed based on related works. The questionnaire comprised four parts covered the intended constructs, i.e., OM, KM, MI, and COQ. Each of the variables was measured using eight items. Reliability and validity were assured based on the findings of the measurement model. Then, a total of 435 questionnaires were handed to the participants. Out of the questionnaires distributed, 356 questionnaires were returned complete and valid, with a response rate equals 81.8%. The paper revealed, on the ground of the results of the structural model, that OM is significantly and positively related to both MI and COQ, and that KM is significantly and positively associated with MI and COQ. The paper contributed significant results from which both managers and researchers would benefit. Particularly, organizations are called to consider their past experiences and knowledge along with their ability to construct, disseminate and apply it in marketing innovation and reduction of quality-related costs due to the fact that both OM and KM form cornerstones in the success path of organizations. Despite the importance of the upshots concluded in the current research, it is noteworthy to state that this research is limited to the understudy companies, the sample used, the measurements utilized, and the way in which constructs were conceptualized. Further studied are in demand to extend the conceptualization of organizational memory using more measurements, relationships, populations, and industries to give the opportunity to OM-related findings to be generalize on a greater level among organizations. On the other hand, possible relationships in the research model still unrevealed, i.e., the effect of OM on KM, the effect of MI on COQ.
Edge/Region Fusion Network for Scene Labeling in Infrared Imagery

Semantic segmentation has been a complex problem in the field of computer vision and is essential for image analysis tasks. Currently, most state-of-the-art algorithms rely on deep convolutional neural networks (DCNN) to perform this task. DCNNs are able to downsample the spatial resolution of the input image into low resolution feature mappings which are then up-sampled to produce the segmented images. However, the reduction of this spatial information causes the high frequency details of the image to be lessened resulting in blurry and inaccurate object boundaries. In order to improve this limitation, we propose combining a DCNN used for semantic segmentation with semantic boundary information. This is done using a multi-task approach by incorporating a boundary detection network into the encoder decoder architecture SegNet. This multi-task approach includes the addition of an edge class to the SegNet architecture. In doing so, the multi-task learning network is provided more information, thus improving segmentation accuracy, specifically boundary delineation. This approach was tested on the RGB-NIR Scene dataset. Compared to using SegNet alone, we observe increased boundary segmentation accuracies using this approach. We are able to show that the addition of a boundary detection information significantly improves the semantic segmentation results of a DCNN.
Cybercrime Investigators are Users Too! Understanding the Socio−Technical Challenges Faced by Law Enforcement.

Cybercrime investigators face numerous challenges when policing online crimes. Firstly, the methods and processes they use when dealing with traditional crimes do not necessarily apply in the cyber-world. Additionally, cyber criminals are usually technologically-aware and constantly adapting and developing new tools that allow them to stay ahead of law enforcement investigations. In order to provide adequate support for cybercrime investigators, there needs to be a better understanding of the challenges they face at both technical and socio-technical levels. In this paper, we investigate this problem through an analysis of current practices and workflows of investigators. We use interviews with experts from government and private sectors who investigate cybercrimes as our main data gathering process. From an analysis of the collected data, we identify several outstanding challenges faced by investigators. These pertain to practical, technical, and social issues such as systems availability, usability, and in computer-supported collaborative work. Importantly, we use our findings to highlight research areas where user-centric workflows and tools are desirable. We also define a set of recommendations that can aid in providing a better foundation for future research in the field and allow more effective combating of cybercrimes.
Analisis Curah Hujan Untuk PendugaanDebit Puncak Sub Das Dengkeng

In 2016 and 2017 in research area has been flooded due to overflow of theDengkeng River. The flood caused infrastructure damage on several subdistricts.This study with the aim to (1) determining ang analyzing thepattern of rain re-distribution from each sub of sub-watershed in theDengkeng Sub-watershed, (2) analyzing the amount of peak discharge ofriver flow in Dengkeng Sub-watershed. The research method is asecondary data analysis method. The analysisof research data usinghydrological analysis to determine rain distribution patterns, and peakdischarge analysis using rational methods. To calculate runoff flowcoefficients using the Cook's method. (1)The results of this study are thepattern of rainfall distribution can be shown through the pattern of rainfallintensity. The largest rainfall intensity for the 2, 5, and 10 year returnperiods is in the sub of Sukoharjo sub-watershed, due to the highmaximum rainfall indicated by the data at Sukoharjo Station. (2)The peakdischarge is affected by the flow coefficient is in sub of Gantiwarno andCawas sub-watershed. The peak discharge that is influenced by themaximum rainfall intensity is in sub of Karangdowo and Sukoharjo subwatershed.The peak discharge is influenced by the area of the watershedsub-sub-districts in Karanganom and Wedi sub-watershed.
Academic Skill Learning and the Problem of Complexity I: Creational Purposeful Integrated Capability at Skill (CPICS)

Physical and mental skills are intended to achieve success at acting purposefully.As capability at any skill increases, the need to adjust details of application to complexity of context and goals will increase as well.It will become more and more important to prepare mentally for what I now term Creational Purposeful Integrated Capability at Skill (CPICS).This paper develops what I mean by CPICS.Theory concerning Complex Dynamical Systems (CDS) such as the brain and other evidence points to the likelihood that the mental operations by which our brain produces any kind of skillful behavior cannot remain constant, but rather must develop through stages for skill to progress most profitably.Using early stages of math learning as an example, I propose that what can hold back some students at development of a skill is that even if presented with all the information need for progress, some students have not yet discovered how to make the most useful mental restructuring that is also needed.This paper proposes and discusses as an example details of what may be especially useful restructuring for early stages of math skill learning.This example is then taken as helping to identify the more general type of restructuring that is especially useful for addressing complexity of application that produces CPICS at every stage of skill improvement. The Role of Mental Restructuring in Skill ImprovementThe discussion that follows builds upon earlier work (Gardiner et al, 1996;Gardiner, 2000Gardiner, , 2003Gardiner, , 2008Gardiner, , 2019)).By skillful "engagement" (Gardiner, 2008) I refer to the specific brain actions that produce skillful physical behavior (such as at walking) or skillful mental behavior (such as at solving a math problem).William James pointed out more than a century ago (James, 1890, 1896) that to live in a complex world we must simplify our interactions with it.But, to paraphrase Einstein's famous saying, we must think as simply as possible, but not more simply than possible.2. Insight from Bicycle Riding, Theory of Complex Dynamical Systems (CDS) and Related Evidence
A Longitudinal Study of the Impact of Corporate Human Resources Systems on Organizational Culture

기업은 급변하는 환경에 대응하기 위해 다양한 제도를 계획 및 시행하며, 이것들이 변화에 적합한 조직문화 구축으로 이어지기를 기대하고 있다. 본 연구는 국내 기업들의 조직문화가 최근까지 어떻게 변화해왔으며, 조직문화에 영향을 미치는 인적자원제도가 무엇인지 알아보고자 한다. 이를 위해 한국직업능력개발원의 인적자본기업패널(HCCP) 4차(2011년)부터 7차(2017년)까지의 조사자료를 활용하여 국내 382개의 기업을 대상으로 조직문화에 대한 종단연구를 실시하였다. 주요 연구 결과는 다음과 같다. 첫째, 국내 기업에서 혁신지향문화, 관계지향문화, 시장지향문화는 하락하고 있는 것으로 나타났다. 반면 위계지향문화의 변화는 통계적으로 유의미하지 않았다. 둘째, 조직문화 4가지 유형에 영향을 미치는 인적자원제도는 인적자원개발과 인적자원관리 제도별로 영향력이 다르게 나타났다. 이러한 분석결과에 따라 학문적·실전적 시사점을 제시하였다.Companies are planning and implementing various systems to cope with the rapidly changing environment, and expect them to lead to the establishment of a corporate culture suitable for change. The purpose of this study is to examine how the organizational culture of Korean companies has changed until recently and what kind of human resource system influences organizational culture.. To analyze these questions, we conducted a longitudinal study on the organizational culture of 382 companies in Korea using the survey data from the 4th panel(2011) to the 7th panel(2017) of Human Capital Corporate Panel (HCCP). The main research results are as follows. First, it is found that the innovation-oriented culture, the relationship-oriented culture, and the market-oriented culture in the domestic companies are falling statistically significantly. On the other hand, changes in hierarchical culture were not statistically significant. Second, HRD and HRM have different impacts on the four types of organizational culture. Based on the results of this analysis, we suggested academic and practical implications.
Algoritma K-Means Untuk Klasterisasi Tugas Akhir Mahasiswa Berdasarkan Keahlian

School of Information and Computer Management (STMIK) Indonesia Padang is a private university under the auspices of the Higher Education Service Institution (LLDIKTI) Region X, producing graduates who are competent in the field of system analysts and database administrators. Requirements to meet undergraduate graduates (S1) final year students need to complete a final project or thesis.Final year students at STMIK Indonesia Padang often experience confusion in taking the final assignment topic. This is due to the fact that the final year students have not been able to direct their potential in determining the final assignment topic. In this case, researchers conducted the process of grouping final level students using the Data Mining K-means Clustering technique. The process of grouping final-level students is done by utilizing the data of course values from the field mapping system analysts and database administrators. In this grouping two clusters will be produced, namely students taking the final assignment of system analysts and database administrator. So by using this K-means Clustering method, students have direction in taking the final assignment topic. The results obtained from 40 data samples used were students who took the topic of the final project system analysts as many as 20 students and students who took the final assignment of database administrators were 20 students
The Performance Comparison of Software as a Service for the First Step Cloud Computing Adoption Processes

The initial stage of the adoption process for the implementation of cloud computing technology in an institution is evaluating to select the cloud provider. This research will discuss the comparison of the performance of Software as a Service (SaaS) owned by each cloud provider. In this research, cloud providers were selected based on the previous research about the ready-to-use SaaS services for users, namely Microsoft Office 365 and Google Apps. Testing the comparison of SaaS performance is needed to provide solutions to institutions in determining the use of SaaS applications. The benchmarking method is used to find the performance comparison between SaaS application. This research conducted with four main phases; they are choosing a cloud provider and SaaS, selecting attributes for testing SaaS performance, selecting a SaaS performance testing scenario, and performing performance testing based on the testing scenario. From the results, we infer that Gmail, Google Drive, and Google has responsive web page performance and can be loaded correctly on devices with limited memory.
Organic Geochemistry and Organic Petrography of the Birkhead and Murta Formations, Eromanga Basin, Central Australia

Preview this conference paper: Organic Geochemistry and Organic Petrography of the Birkhead and Murta Formations, Eromanga Basin, Central Australia, Page 1 of 1 < Previous page | Next page > /docserver/preview/fulltext/2214-4609/2019/P129-1.gif
Quantum Coding via Semidefinite Programming

We derive converging hierarchies of efficiently computable semidefinite programming outer bounds on the optimal fidelity for the transmission of quantum information over noisy quantum channels. Based on positive partial transpose conditions we give a sufficient criterion for the exact convergence at any given level of the hierarchies. The worst case convergence speed of our hierarchies is quantified via positive semidefinite representable outer approximations on the set of separable Choi states, which are based on novel finite de Finetti theorems for quantum channels.
Corrections to “Learning Graph Topological Features via GAN”

The authors have inadvertently left out three coauthors from the above paper <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> . The names of the three authors are Hal Cooper, Min-Hwan Oh, and Sailung Yeung.
Single-Pass Generation of Spatial and Spectral Multimode Squeezed States of Light

We show the single-pass generation of entangled states featuring spatial-spectral quantum correlations via SPDC. They constitute multimode building blocks of dual-rail cluster states, which can be achieved via multiplexing in the time (pulsed) domain.
Senior Students’ Innovation And Creativity And Their Involvement In Mmorpg

The paper presents a theoretical and empirical analysis of involvement phenomenon in massive multiplayer online role-playing games among high school students. The main features of the games that make them the most attractive to users and contribute to their active involvement in the game process are highlighted. The advantages of mass multiplayer online role-playing games are substantiated. On the basis of theoretical analysis the aim of the study was formulated — to identify differences in the manifestations of innovation and creativity in students involved and not involved in MMORPG. Hypotheses about the existence of significant connections and differences in the manifestations of innovation and creativity in those involved and not involved in this type of games are formulated. The study involved 120 students of 10-11th forms and was based on the following methods: 1) questionnaire to assess the degree of enthusiasm in role-playing computer games (E.V. Belovol, I.V. Kolotilova); 2) questionnaire for the study of gaming activity, experience and gaming genre preferences of the individual (the author - N. V. Omelchenko); 3) self-assessment scale of personal innovative traits (N. M. Lebedeva, A. N. Tatarko); 4) a multidimensional questionnaire "Innovation of a personality" - MQIP (O. B. Mikhailova); 5) "Creativity" test (N. Vishnyakova). As a result of the study, empirical data confirming the hypotheses were obtained. The conclusion presents a number of recommendations on the use of the plot potential of multiplayer online role-playing games for the development of high school students’ personality in modern teaching practice.
Federal State Education Standard (Fses) Of High School: Problems And Practical Implementation

This article deals with the issues of education standardization and reveals the problems of renovation of education standards of Russian high school and possible ways of practical implementation. The separation of the latest national education standards from the heavy regulations of the education contents is based on the variability idea. At the same time, the exclusively framework nature of FSES prevents it from being used as a regulatory document of direct influence, which creates the problems of implementation of the standard into the educational practice; it is also a source of difficulties during the realization of new approaches. The authors present the research of activity of secondary comprehensive school teachers in regard to transferring to new standards and the analysis of ways of FSES of general secondary education (FSES) implementation used during the activity of the teachers. The performed research allowed revealing some of the directions of improvement and renovation of FSES of general secondary education, including the implementation of the represented matter into the basic contents of school education. The article deals with the directions of improving the education quality by processing the approaches to the renovation of its contents and requirements to the results of secondary education at Russian schools. The results of researching the potential of the standard as a modern reference point of development of national educational systems determining the purposes, key principles and approaches which are the basis of designing the education contents, organizing the educational activity and selecting pedagogical technologies are represented.
Potential Of Secondary School Social Sciences In Formation Of Students’ “Universal Skills”

The article discusses the secondary school students’ universal skills formation in the context of improving the quality and updating the content of school education. The concept of "universal skills" is used to denote a number of competences, the formation of which goes beyond a separate academic subject and ensures the success of a person in various activities. The paper shows that the methodical potential of school subjects and the implementation of the requirements of federal state educational standards create basic conditions for the formation of students’ universal skills. The authors present the results of a study of the students’ attitude towards the formation of universal skills in school. They conclude that there is a contradiction between the perceived need of students in the acquisition of universal skills and the low level of their assessment of the school ability to form them. Students do not consider school subjects to be the leading means of mastering universal skills. Comparing the results of students’ survey and data obtained in the course of the teacher survey, the authors reveal shortcomings in the professional activities of teachers. The authors propose approaches to remove the contradiction in improving the methodological teachers’ skills and in updating the structure of education by the usage of special educational interdisciplinary modules aimed directly at developing universal skills in students.
Human Vision at a Glance (Invited Talk)

Recent advances in human vision research have pointed toward a theory that unifies many aspects of vision relevant to information visualization. According to this theory, loss of information in peripheral vision determines performance on many visual tasks. This theory subsumes old concepts such as visual saliency, selective attention, and change blindness. It predicts the rich details we have access to at a glance. Furthermore, it provides insight into tasks not commonly studied in human vision, such as ability to comprehend connections in a network diagram, or to compare information in one part of a display with that in another.
RelEmb: A Relevance-based Application Embedding for Mobile App Retrieval and Categorization

Information Retrieval Systems have revolutionized the organization and extraction of Information. In recent years, mobile applications (apps) have become primary tools of collecting and disseminating information. However, limited research is available on how to retrieve and organize mobile apps on users’ devices. In this paper, authors propose a novel method to estimate app-embeddings which are then applied to tasks like app clustering, classification, and retrieval. Usage of app-embedding for query expansion, nearest neighbor analysis enables unique and interesting use cases to enhance end-user experience with mobile apps.
Neural Sequence Modeling in Physical Language Understanding

Automating the tasks of generating test questions and analyzing content for assessment of written student responses has been one of the more sought-after applications to support classroom educators. However, a major impediment to algorithm advances in developing such tools is the lack of large and publicly available domain corpora. In this paper, we explore deep learning of physics word problems performed at scale using the transformer, a state-of-the-art self-attention neural architecture. Our study proposes an intuitive novel approach to a tree-based data generation that relies mainly on physical knowledge structure and defers compositionality of natural language clauses to the terminal nodes. Applying our method to the simpler kinematics domain that describes motion properties of an object at a uniform acceleration rate and using our neural sequence model pretrained on a dataset of ten thousand machine-produced problems, we achieved BLEU scores of 0.54 and 0.81 for predicting derivation expressions on real-world and synthetic test sets, respectively. Notably increasing the number of trained problems resulted in a diminishing return on performance.
IT Risk Assessment Policy

The purpose of this policy is to facilitate compliance with applicable state and federal laws and regulations, protect the confidentiality and integrity of the University’s IT Resources, and enable informed decisions regarding risk tolerance and acceptance.
THE EFFECTS OF CLOCITY MEDIA ON SPEAKING SKILLS OF CHILDREN AGED 5-6 YEARS

This study was motivated by the lack of speaking skills in children aged 5-6 years. In order to overcome these problems, in this study, clocity media was chosen to increase vocabularies when children tell stories related to time. This study used an experimental research design. The data analysis technique used was t-test. The pre-test results showed an average of 0.160, while the posttest results showed an average of 0.263. The results of the pretest and posttest show that it was greater than 0.05 so the data was normally distributed. The results showed a significant level of 0.000, meaning less than 0.05, so it can be concluded that there was a significant influence of the use of clocity media on the speaking skills of children aged 5-6 years.