Reviewerly/exHarmony huggingface dataset:
.NET Runtime and Tools for Tizen Operating System

Samsung Electronics and Microsoft Corporation have been developing open source implementation of .NET platform called .NET Core since 2016. This platform is usually used for implementation of server-side and desktop applications, and Samsung has also adopted .NET Core virtual machine and libraries for Tizen OS. This solution was integrated into various ARM CPU based devices e.g. smart watches, TVs and other electronic devices. Tizen has always supported variety of languages and SDKs for developers. .NET has greatly expanded this variety by supporting new tools and new languages. This paper describes major challenges that we have encountered during integration of .NET to Tizen OS as well as optimizations, which were applied to .NET Core to make applications startup and memory consumption better on variety of devices.
Webbplatsfunktionerna hos fem av Sveriges största folkbibliotek : Med utgångspunkt i external cognition theory

The subject for the bachelor thesis is functions on public library websites in Sweden. The purpose is therefore to compare the functions of five Swedish public library websites with the goal of fin ...
Application of artificial neural network to predict amount of carried weight of cargo train in rail transportation system

&lt;span lang="EN-US"&gt;Derailments of cargo have frequently occurred in Malaysian train services during the last decade. Many factors contribute to this incident, especially its total amount of carried weight. It is found that severe derailments cause damage to both lives and properties every year. If the amount of carried weight of cargo train could be accurately forecasted in advance, then its detrimental effect could be greatly minimized. This paper presents the application of Artificial Neural Network (ANN) to predict the amount of carried weight of cargo train, with KTMB used as the study case. As there are many types of cargo being carried by KTMB, this study focuses only on cement that being carried in twelve (12) different routes. In this study, Artificial Neural Network (ANN) has been incorporated for developing a predictive model with three (3) different training algorithms, Levenberg-Marquardt (LM), Quick Propagation (QP) and Conjugate Gradient Descent (CGD). The best training algorithm is selected to predict the amount of carried weight by comparing the error measures of all the training algorithm which are Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE). The obtained results indicated that the ANN technique is suitable for predicting the amount of carried weight.&lt;/span&gt;
Terminological approaches for forming a conceptual apparatus in the field of cyber security

Terminological approaches for forming a conceptual apparatus in the field of cyber security
A Commentary on Decentralized Privacy-Preserving Proximity Tracing in the Context of the EU Legal Framework for Medical Devices (Working Paper)

So far, the debate on contact tracing technologies to fight COVID19 heavily focused on the ethical and legal aspects concerning privacy and data protection. This Commentary (working paper) analyses the applicability of the EU Medical Devices Directive to the software for decentralized privacy-preserving proximity tracing by following MEDDEV 2.1/6 guidelines’ five-step approach. It concludes that the software at stake might qualify as a medical device.
20190620 EMUG Boston (Alice Meadows)

Presentation given by Alice Meadows on ORCID on What's New for ORCID in Publishing Workflows at the 2019 EMUG conference in Boston, MA.
PD42-09 URINE CELL IMAGE ANALYSIS USING A DEEP LEARNING MODEL

METHODS:In silico analysis (TCGA) compared disease-free survival (DFS) between ARID1A mutant (ARID1Amut) and wildtype (wt) tumors.Western blot compared EZH2, ARID1A, and H3K27me3 protein levels between matched pairs of BCa and normal urothelium from cystectomy specimens.Cell proliferation assays were performed with/without EZH2 inhibitor GSK-126.Stable ARID1A knockdown cell lines were also tested.Murine xenograft experiments were performed using ARID1Amut and wt BCa cell lines to compare tumor growth inhibition by GSK-126.RNA microarray evaluated differentially expressed genes in ARID1Amut and wt BCa cell lines with/without GSK-126.Western blot and chromatin-immunopreciptation (ChIP) analysis confirmed the microarray findings.RESULTS: In silico analysis revealed that ARID1Amut BCa has worse DFS compared to ARID1Awt BCa.EZH2 and resultant H3K27me3 protein levels are dramatically increased in BCa compared with normal urothelium, with a decrease in ARID1A protein levels.In vitro studies showed that only ARID1Amut and not wt cell lines are inhibited by EZH2 inhibitor GSK-126.ARID1A knockdown in 5637 cells resulted in de novo GSK-126 sensitivity.In vivo murine xenograft models confirmed this effect.Transcriptomic analysis comparing ARID1Awt and mut cell lines with/without GSK-126 revealed differential expression of several genes that could explain the mechanism GSK-126 sensitivity.Western blot and ChIP confirmed that these genes are EZH2 transcriptional targets and are strong candidates to explain the molecular mechanisms underlying EZH2 and ARID1A crosstalk.CONCLUSIONS: ARID1A mutation is a biomarker for EZH2 inhibitor sensitivity in BCa cells and may represent a new epigenetic therapeutic target for patients.
YOUR BEST VIRTUAL SELF-IMPROVEMENT. THE USE OF VIRTUAL REALITY IN STRESS MANAGEMENT TRAINING

Virtual reality can be used as a tool for enhancing psychological interventions in organizations, increasing their efficacy and efficiency, thus making psychology more compelling and competitive.Stress management is a fundamental skill for managers, forced to deal on a daily basis with complex, fast and demanding environments and tasks.Managers are not only entitled to increase company revenues; their psychological well-being and ability to cope with stress reflects directly on workers' psychological health.Organizational psychology developed many techniques in order to help managers deal with stress, especially through specific training activities.The aim of the present study is to explore the effects of a specific training on stress management, conducted on managers with the aid of a virtual reality device.A sample of managers was trained in imagining their best possible self, and in using this thought to increase positive future expectancies.This training was conducted in three consequent virtual reality environments.The first environment, a relaxing open space of choice (e.g. a lake side), was used in the opening part of the training, in order to help managers find a relaxed state of mind for thinking about their possible self.The second environment, a happy place (a real place relevant in the manager's life), was used in order to help managers imagine their stress-management skills and understand how to use them in difficult situations.The third environment, a place not yet visited but desired, was used in the closing part of the training for linking the training to a desirable future.Interviews and questionnaires on the managers' environment and stressors in their job, estimated stress-management skills, and self-efficacy were carried out before and after the training.A follow up interview on the same topics was conducted three weeks after the training.Satisfaction for the training was also investigated.The data obtained were examined through both qualitative and quantitative analyses.The managers reported a high level of satisfaction for the training, specifically related with the use of virtual environments.The training was perceived as effective in increasing stress-management skills, both just after its completion and after three weeks.The managers felt a higher degree of self-efficacy regarding their ability to cope with stress in complex situations.Virtual reality is an effective tool not just for improving psychological intervention, but also for making it more appealing.Therefore, it is a technology that should be further studied and introduced in professional practice.
KAJIAN INDEKS KEPUASAN INSAN OMBUDSMAN PENGGUNA LAYANAN PERPUSTAKAAN TERHADAP LAYANAN PERPUSTAKAAN OMBUDSMAN REPUBLIK INDONESIA KURUN WAKTU 2019-2020

This study discusses the Ombudsman Satisfaction Index for users of library services for the Ombudsman library service for the period of 2019 to 2020. This study will aim to find out and analyze the ombudsman index of satisfaction for library services in the Indonesian Ombudsman library so that the Ombudsman library can create strategies to increase the satisfaction of visitors, especially from the ombudsman. This study uses a qualitative method approach with measurements using a Likert Scale developed by the Ministry of Administrative Reform and Bureaucratic Reform of the Republic of Indonesia Number 14 of 2017 concerning Guidelines for the Preparation of a Public Satisfaction Survey for Public Service Providers. Questionnaires were distributed in a way that was distributed online (e-survey) to the Ombudsman as users of the Ombudsman library. Determination of the number of respondents was chosen based on the Morgan and Krejcie Sample table contained in the guidelines for the preparation of the public satisfaction survey of public service delivery units No. 14 of 2017 published by Kemenpan RB, so that the total number of visitors from the ombudsman people at their headquarters in Jakarta is as much as an average of 100 people per year, the number of samples obtained is as many as 80 respondents. In this study, the results of the Ombudsman Community / People Satisfaction Index for library services at the RI Ombudsman library are getting a good category with a value of 3.23 or if converted to 80.63. In this study, there are two service elements that get the highest value, namely the service cost/tariff element that gets a value of 3.96 or 99.06 and the behavioral element of an officer or librarian who gets a value of 3.46 or 86.56. Whereas the service element that gets the lowest value is the facility and infrastructure element with a value of 2.80 or 70.00 and the product element specification type of service that is with a value of 2.89 or 72.19. From the results of this survey, it is concluded that for the future service program, the Ombudsman library must carry out its service improvement activities to comply with specific library service standards and increase the budget in improving existing facilities and infrastructure so that service quality can run more optimally.
Struggles and Oppression in Maya Angelou Poetry Based On Marxism Perspective

This objectives of this research is to know the influences of struggles and oppression in Maya Angelou poetry based on marxism perspective, to know how the poet overcome of struggle and oppression in class community through Marxism perspective and Also to know the moral messages contained in Maya Angelou poetry through Marxism perspective. The data of this research collected from various sources through browsing on internet and listening to the audio of the poetry to support the data analysis. In this research, the  writer using descriptive qualitative method as a method of analysis. Theory that the writer used to analyses struggle are from Arindani (2016), and for analyses oppression are from omidvar (2016). The result of this research are: 1). The influences of struggles and oppression make poet become strenght, 2). The poets comes out from life struggles and oppression through leaving behind an oppression and 3). There are many moral messages contained in Maya Angelou Poetry.
RANCANG BANGUN SISTEM PENILAIAN KINERJA GURU DAN TENAGA KEPENDIDIKAN BERBASIS KPI UNTUK MENINGKATKAN PELAYANAN SEKOLAH

The process of evaluating the performance of teachers and education personnel in several schools is still carried out manually, where the calculation of performance is only seen based on absenteeism and is still very subjective, this is quite time consuming in the calculation so thatit is ineffective and inefficient besides the results are less accurate. To overcome the problems above, we need a computerized system so that it can solve the problem and speed up the process. Therefore, this study proposes the design of teacher and staff performance appraisal systems automatically based on data collection methods, pieces analysis to evaluate system performance, and design methods using uml (unifield modeling language) which includes usecase, activity, squence and class diagrams as a tool to provide an overview of the design that is running or will be created. Then for the database processing using mysql, which will ultimately produce a well-integrated system, so that the model created is expected to be able to calculate the performance of teachers and education personnel quickly, accurately, objectively and transparently. This can be done because the calculation process is computerized, and the assessment categories include very good, good, sufficient and less. In addition the existence of a dashboard in the form of recapitulation can be used as a basis for decision making.
Tutorial 2A: Internet of Things (IoT): Signals, Communications, Applications, Challenges, and Future Research

Summary form only given. The complete presentation was not made available for publication as part of the conference proceedings. Internet of Things (IoT) is the network of physical objects or “things” embedded with electronics, software, sensors, and network connectivity. It enables the objects to collect, share, and analyze data. The IoT has become an integral part of our daily lives through applications such as public safety, intelligent tracking in transportation, industrial wireless automation, personal health monitoring, and health care for the aged community. IoT is one of the latest technologies that will change our lifestyle in the coming years. Experts estimate that as of now, there are 23 billion connected devices, and by 2020 it would reach 30 billion devices. This tutorial aims to introduce the design and implementation of IoT systems. The foundations of IoT will be discussed throughout real applications. Challenges and constraints for future research in IoT will be discussed. In addition, research opportunities and collaboration will be offered for the attendees.
Using digital devices for learning vocational expertise in high- and low technology contexts : Case studies in Finnish and a Cuban contexts

Digital competence is an important ability for humanity in the 21st century. The use of technological tools in VET schools has expanded in recent years. Digital technologies cover a wide variety of ...
Optimisation of a Checkers Player Using Neural and Metaheuristic Approaches.

Within this paper we evaluate the components used to build a checkers playing system with no embedded expert knowledge. We found that Particle Swarm Optimisation (PSO) and Evolutionary Algorithms (EA) are suitable training methods for Artificial Neural Networks (ANN) acting as evaluation functions within minimax, when training on 2 and 4 plies. By playing the trained networks against one other the single best network was found, which was produced by 3000 iterations of PSO playing on 2 plies. We show that this network outperformed a piece differential evaluation function, both on a fixed number of plies, and when using iterative deepening search. We also show that the higher the amount of plies the better a system will perform, however it is the relative difference between the amount of plies that impacts the performance. External validation of the system shows it winning all 44 games it played against non-expert human players. It was also able to solve the hardest tasks on a checkers problem website. The system was also able to draw against Chinook, a checkers playing system with expert knowledge and state-of-the-art in the field.
Handwritten Text Detection using Open CV and CNN

The main aim of the project is Handwritten Text Recognition (HTR).HTR is the task of transcribing images of handwritten text into the digital text.In HTR, the text is written, captured by a scanner and then the resulting images are processed as input to return its text format.We need openCV and CNN for achieving this task.Our goal is to design a model that transcribes the images to text with great accuracy.
Exploration of College English Teaching Model in the Era of Internet Plus

With the advent of the Internet plus era, internet has become an important means for college students to acquire knowledge and exchange information, which has prompted a large-scale reform of the traditional teaching model.It is an inevitable trend in keeping with the trend of the times.As a basic course in China's education system, college English curriculum is of great significance to the popularization of English in China and the improvement of students' professional ability.At first, this paper expounds the influence of Internet on college English teaching, and then analyzes the teaching principle under background of internet plus, finally puts forward the teaching mode under the internet environment.We need to change teaching conception, update teaching methods, using micro class, Mooc, WeChat teaching methods so that the students can learn more comprehensive and practical English knowledge.
Properties of the fundamental splines of the high order

In this paper, the properties of the fundamental splines of high orders are numerically studied. From the point of view of the interpolation problem, the fundamental spline is a nodal function generated by a family of integer translations of the corresponding basic spline. We have established that with increasing order fundamental splines tend to the sampling function . Analogous assertions were obtained earlier for nodal functions on the basis of other systems of shifts. The behavior of the coefficients of basic splines is studied. With the help of calculations, it is shown that for n>2 there is a sign-reversal and a monotone decreasing modulo.
On Positive Partial Transpose Matrices

&#x0D; &#x0D; &#x0D; This paper mainly focuses on the class of $2 \times 2$ block PPT matrices. The relationship between PPT matrices and the norm inequalities is further explored. Some properties of a non-PPT matrix in terms of its eigenvalues are investigated. Moreover, a number of useful sufficient conditions for a matrix to be PPT are provided.&#x0D; &#x0D; &#x0D;
Discovering Discriminative Nodes for Classification with Deep Graph Convolutional Methods

The interpretability of Graph Convolutional Neural Networks is significantly more challenging than for image based convolutional networks, because graphs do not exhibit clear spatial relations between their nodes (like images do). In this paper we propose an approach for estimating the discriminative power of graph nodes from the model learned by a deep graph convolutional method. To do this, we adapt the Grad-CAM algorithm by replacing the part which heavily relies on the 2D spatial relation of pixels in an image, with an estimate of the node importance by its appearance count in the result of the Grad-CAM. Our strategy was initially defined for a real-world problem with relevant domain-specific assumptions; thus, we additionally propose a methodology for systematically generating artificial data, with similar properties as the real-world data, to assess the generality of the learning process and interpretation method. The results obtained on the artificial data suggest that the proposed method is able to identify informative nodes for classification from the deep convolutional models.
Guide to Master Key Systems & Commercial Key Management

For being so small, keys play a large part in the overall security of your company. Keys give us access to facilities, entire buildings, equipment, ...
Role of Information Communication Technology in Literacy Education in Kenya

The use of Information Communication Technology (ICT) in literacy education is critical to ensuring that Kenya is able to create individuals with raised self-esteem, equipped with skills that will enable them to derive socio-economic benefits of greater workforce productivity as well as those associated with lifelong learning. Consequently, incorporating ICT in literacy education may help to develop the kind of citizenry required in the information society; improve learning outcomes in education; and enhance the quality of life in general. However, despite the enthusiasm exhibited in exploiting ICTs potential in education use in Kenya, the acquisition of learning outcomes in literacy are still low. Key impediments include access, funding, inadequate ICT facilities, high cost of development of interactive e-learning content, high Internet costs in the region, as well as unaffordable infrastructural maintenance costs occasioned by the dynamic natures of ICTs. In addition, the inadequate capacity of teachers has been an obstacle to making ICT a medium of instruction or a tool to support management processes. As well, the absence of ICT Curriculum at Early Childhood Development (ECD) and primary levels does not help cultivate a computing culture early in life. Thus, in order for meaningful impact on literacy education to be realized, the ICT investment programmes in education in the country should be refocused and redirected to the ECD and primary levels of education as the starting point, and henceforth be concentrated on some five variables identified widely as likely to create the desired results, namely: enhancement of teaching and learning; raising access to literacy education; training of teachers; localizing content; and creating a literacy-conducive environment. This paper explores how ICT can contribute to making literacy education more effective and the challenges that require to be overcome in order to achieve this. Key words: Information Communication Technology, Literacy Education
Study in Teaching Quality Promotion of Bilingual Education on Business Courses

As the development of economic globalization, bilingual education is quiet popular around the world in recent years. For example, universities in Czech Republic give lectures in English. The situation have also been spread to China. However, After years’ bilingual education, survey data from students shows that it is necessary to study bilingual education to promote teaching quality and lecture efficiency. The paper selects business courses as samples and studies the general problems that exist in bilingual education on business courses. According to problems pointed out, practical suggestions to improve teaching quality of bilingual education on business courses are offered from three aspects, namely before class, in the class and after class.
Presenting Students with Buffer Overflow Vulnerability

The goal of this project is to analyze how students can apply and adapt low level computer science principles, specifically in exploiting buffer overflows in Linux operating system. Students are given an executable file with a known buffer overflow vulnerability, and a source code file with a known vulnerability. Each student must examine the memory addresses of their executable in order to calculate a payload, which will overwrite the return address in stack and will jump in a “secret” function. Each student is provided with a compiled binary executable file with a minor change of the displayed message. Once students have successfully demonstrated the buffer overflow exploit, they will need to find a protection mechanism against the buffer overflow attack they just developed. The way that students approach the problem of attacking software, as well as their strategies regarding to protect against buffer overflow attacks, will be studied in order to evaluate students’ active learning skills.