Reviewerly/exHarmony huggingface dataset:
How About the Mentor? Effective Workspace Visualization in AR Telementoring

Augmented Reality (AR) benefits telementoring by enhancing the communication between the mentee and the remote mentor with mentor authored graphical annotations that are directly integrated into the mentee’s view of the workspace. An important problem is conveying the workspace to the mentor effectively, such that they can provide adequate guidance. AR headsets now incorporate a frontfacing video camera, which can be used to acquire the workspace. However, simply providing to the mentor this video acquired from the mentee’s first-person view is inadequate. As the mentee moves their head, the mentor’s visualization of the workspace changes frequently, unexpectedly, and substantially. This paper presents a method for robust high-level stabilization of a mentee first-person video to provide effective workspace visualization to a remote mentor. The visualization is stable, complete, up to date, continuous, distortion free, and rendered from the mentee’s typical viewpoint, as needed to best inform the mentor of the current state of the workspace. In one study, the stabilized visualization had significant advantages over unstabilized visualization, in the context of three number matching tasks. In a second study, stabilization showed good results, in the context of surgical telementoring, specifically for cricothyroidotomy training in austere settings.
Effect Of Foreign Direct Investment And Financial Development On The Economic Growth In The East African Community

This study aimed to investigate the effect of foreign direct investment and financial development on the economic growth in the East African Community (EAC) using panel cross-sectional time-series data collected separately from 5 countries during the period from 1996 to 2015. The role of foreign direct investment (FDI) and financial development (FD) on the growth of an economy has been a topic of study for many researchers in several countries. A positive and negative impact of FDI and financial development has been found depending on countries or regions. A cross-sectional time-series regression analysis was used to measure the degree to which foreign direct investment, financial development, and economic growth are related to each other. The study investigated furthermore the relationship between trade openness, inflation and economic growth in the EAC. Using the Johansen cointegration model, we found between variables a long-run relationship. The study also found that all the variables are non-stationary at the level (0) form but have a unit root and are integrated at first difference I(1) by using the Augmented Dickey-Fuller unit root test for examining the stationarity of variables. The results of regression reveal that FDI has a negative effect on economic growth, it is found also that an increase or decrease in FDI does not generate economic growth in the countries of the EAC. Findings expose that economic growth is highly determined by domestic credit to the private sector, that the improvement of financial development can transform and generate economic growth in the countries of the EAC. The thesis finally revealed a positive and
Enterprise Knowledge Graph and Machine Learning Integration with Behavioral Data

In the realm of enterprise applications such as cybersecurity and anti-money laundering (AML), data and system engineers team up to deal with interconnected data of great scale and richness. The regulatory need adds requirements to instant tracibility and explanability of data and analytic models, to aid and reduce human workloads. Moreover, the teams have to deal with reliability and timeliness of data and events that are of dubious precision and cleanliness. In this work, we will share our real-world experiences of integrating streaming graph operations, with automatically tuned analytics including Graph Behavior Learning, Machine Learning and Bayesian Reasoning. We will also describe the use of imperfect learning which is critical to real-time enterprise applications.
OPTIMASI STOK AYAM POTONG MENGGUNAKAN METODE FUZZY TSUKAMOTO DI RUMAH MAKAN BOYOLALI

A developing business must have a goal so that activities in a business can be directed. So that the business can achieve these goals, it is necessary to have a careful plan to determine the production of products that are made to meet market needs. Therefore, this study aims to determine the optimization of the stock chicken stock application system at Boyolali Restaurant using the Fuzzy Tsukamoto method based on sales data and restaurant needs. Boyolali Restaurant also has a disadvantage, namely controlling stock of chicken that is still not suitable and not optimal for each day due to the number of requests that continue to vary each day The number of products produced is something that influences competition in the business world. The type of data consists of Primary Data, There are 2 kinds of primary data that the authors do, namely: Observation Method, Interview Method and Secondary Data in the form of Library Studies. Data Analysis with system analysis using the Flowchart system, input output design and system testing. The results of this study are making web applications with the PHP programming language with a MySQL database. The test carried out is the validity test by comparing the data of real chicken orders and the chicken chicken order data from the results of fuzzy calculations from the application is valid. Comparison with the difference between real data and fuzzy calculation results with the highest difference order 347 pieces of chicken stock and the lowest difference of 3 pieces of chicken stock with an average difference in stock orders is 70 stocks of chicken pieces. Comparison of real order data with fuzzy results has an accuracy above 70% with an average accuracy of 93%.
Designing a Novel Strategy for Exploring Literature Corpora

Understanding a new literature corpus can be a grueling experience for junior scholars. Nevertheless, corresponding guidelines have not been updated for decades. We contend that the traditional strategy of skimming all papers and reading selected papers afterwards needs to be revised. Therefore, we design a new strategy that guides the overall exploratory process by prioritizing influential papers for initial reading, followed by skimming the remaining papers. Consistent with schemata theory, starting with in-depth reading allows readers to acquire more substantial prior content schemata, which are representa-tive for the literature corpus and useful in the following skimming process. To this end, we develop a prototype that identifies the influential papers from a set of PDFs, which is illustrated in a case study in the IT business value domain. With the new strategy, we envision a more efficient process of exploring unknown literature corpora.
Design and Implementation of Sign Language Interpretation System and Wireless Enabled Wheel Chair

Sign language is used by speech and hearing-impaired persons to convey their message to other people.Often this sign language is not understood by everyone, which produces a communication gap.To bridge this gap, smart gloves are introduced.The system is based on sensor gloves which convert the sign language to speech.The gloves read the motion and orientation of both hands through Accelerometer and Flex sensors sewed within.All the sensor data are processed and multiplexed wirelessly through Bluetooth.When no sign is made, the system has the capability to switch to its sleeping mode which enables it to save the power.The system design uses a simple algorithm that directly maps gestures via lookup process, thus avoiding complex computations.The aim is to develop a portable, reliable and an inexpensive system.Therefore, the system uses less expensive electronics which are easily available in the local market, making the system affordable for everyone.In this proposed work the Arduino microcontroller, accelerometer, and Bluetooth are used.Two main contributions are presented in this work.Firstly, it is shown that the wheel chair can be controlled with hand-gestures according to the movement and position of the hand.Secondly, the proposed wheel chair system is further extended to be controlled by an android based mobile application.
Law Movement Facing Paradigm Post Truth in Social Media

The era of disruption is almost experienced by every individual and society that is driven by information technology in meeting the needs of life.One of them is social media that surrounds every aspect of individual and community life.The purpose of this study is to explore and uncover legal movements in dealing with the post truth paradigm in social media, specifically targeting teachers in vocational high schools in the city of Purwokerto and the use of appropriate cultural approaches to contribute to the resolution of social media disputes.The research method used in the study of doctrinal and non-doctrinal law with anthropological approach to law.The results obtained by each dispute have a variety of weight and each dispute, especially social media.The study of legal anthropology views that the resolution of legal disputes is not singular and absolute opportunities are still open for various patterns of dispute resolution in social media as part of the legal form tangible and intangible.Settlement of disputes with social media can be pursued with the first alternative being to avoid each other, secondly; interact physically by reprimanding the perpetrator of the victim according to the culture of the third local community; request third party assistance, fourth; school leaders limit the movement of perpetrators who are proven to be troubling.The first conclusion is that the legal movement in social media is always active-dynamic and melts, especially interactions between the second netizens; cultural approach according to the character of the local community.
Research Guides: Streaming Resources for Courses: Streaming audio

Information about how to access and ensure the fair use of copyrighted material in face to face and online courses at Canisius College.
The pedagogical use of ICT in a school of engineering in tertiary education

The intense development and introduction of new Information and Communication Technologies (ICT) in every field of modern life makes it necessary to introduce them to education. The introduction of new technologies into education raises the demand for a more general redistribution of the role of the teacher, the key element of which is the transition from its function as a provider of knowledge and, at the same time, the facilitator of the process of acquiring knowledge, application is directly related to how it is used. The integration of new ICTs and the identification of their pedagogical use in environmental education depends on the objectives and the teaching approach adopted by teachers in tertiary education.This study aims at researching the new role developed by the teachers of the University of Patras in the use of information and communication technologies (ICT) in the educational act. Based on a quantitative study, this research attempts to identify their new role through the use of new technologies. The traditional form of teaching tends to disappear, and teachers now question their traditional role as the only source of knowledge. For most sample teachers, ICT is a research tool as well as an important pedagogical tool for interpreting basic concepts but also for promoting the learning environment. Their existence seems to change the role of teachers and the dynamics of the amphitheater. Better communication among all actors in education, as well as new educational practices and new emerging roles seem to make teachers feel more effective and positive in using ICT in day-to-day educational practice.
The Multi Agent System for Job Recommendation

Abstract The number of available job portals causes abundant information. Therefore, a system of recommendations is needed by job seekers to find jobs that fit their profile. Offering job vacancies on job portals are changing every time because there are always additional job search data and job opening data. Multi-agents system is a technology that can be used to handle information changes. This article proposed a recommendation system is expected to help job seekers to get jobs in accordance with the field of science they have. The system will monitor what work is offered by online job portals. From the results of observations, the job content offered will be used as a reference so that if new content is entered, the agent will automatically provide input to the job seeker. Based on the results of the implementation of the recommendation system using a multi-agent system can provide search results that are in accordance with what is inputted by the user based on the profile they have. These search results can recommend jobs that match the job seeker profile.
Neo-nationalism in the Czech Republic and Its Self-presentation on Social Networks Using the Example of Facebook

Neo-nationalistic movements, extreme right-wing organisations, and right‑wing parties are booming not only in Europe; they can be found in nearly all western societies, and, in some countries, they form an inherent part of the political system and participate in government, playing an active role in civil society, organising demonstrations and festivals and publicly providing information about their ideas. In doing so they are gaining influence not only on the political scene, but their topics also affect the opinions and debates of the general public. Neo-nationalistic right-wing movements are common in, for example, Germany and France, and especially in the Central European countries of Poland, Hungary, Slovakia and the Czech Republic. They consider themselves to be ‘patriots’, whose aim is to ‘protect’ their own national culture and nation as such from foreign life forms and religions. This kind of ‘protection’ refers mainly to cultural, ethnic and religious issues. In my contribution, I deal with two neo-nationalistic movements in the Czech Republic and analyse how they present themselves on social media (Facebook). The main focus of my research are Internet memes, through which I want to show how the organisations fight against multiculturalism and open society. The present contribution is divided into three parts: first I provide a brief historical overview of the development of right-wing extremism in the Czech lands, the second part deals with the current situation regarding neo-nationalistic movements in the Czech Republic, and the last presents my research on Internet memes and attempts at categorising them, aiming not only to show the different types of memes but also to discover the strategies, argumentation and ideas of neonationalistic movements.
LibGuides: Computer Science and Technology Resources: Books & E-books

Databases, Books, Open Access Text Books and more can help you with your Computer Science and Technology information needs.
Multi-task learning for image restoration

We present an efficient end-to-end pipeline for general image restoration. Thesetting has a generic encoder and separate decoders so that our model can benefitfrom the shared low-level feature representations between the tasks. We alsointroduce the new architecture for the generator inspired by the feature pyramidnetworks for dealing with multi-scale degradations. We train the models for solvingthree particular image restoration problems: deblurring, dehazing, and raindropremoval.
Scenario-based Evolvability Analysis of Service-oriented Systems: A Lightweight and Tool-supported Method

Scenario-based analysis is a comprehensive technique to evaluate software quality and can provide more detailed insights than e.g.maintainability metrics.Since such methods typically require significant manual effort, we designed a lightweight scenario-based evolvability evaluation method.To increase efficiency and to limit assumptions, the method exclusively targets service-and microservice-based systems.Additionally, we implemented web-based tool support for each step.Method and tool were also evaluated with a survey (N=40) that focused on change effort estimation techniques and hands-on interviews (N=7) that focused on usability.Based on the evaluation results, we improved method and tool support further.To increase reuse and transparency, the web-based application as well as all survey and interview artifacts are publicly available on GitHub.In its current state, the tool-supported method is ready for first industry case studies.
Humanistic Dimension of Biological Rationality

The concept of rationality is characterized by immanent uncertainty: is it a rationality of life or a rationality specifed by the concept “life”? For the philosophical discourse, the concept of rationality is most important. This paper aimed to demonstrate how the concept “life” specifes the concept “rationality”. There are two strategies used to determine rationality: absolutist and relativist; they are not mutually exclusive, but presuppose each other. Rationality is knowledge of a special kind and, like truth, is procedural. It is obvious that in Nietzsche’s philosophical aspect of life, which does not deny the ability of the human mind, the mind is just a servant of life. The Nietzschean will to power sounds like a hymn to human freedom. The essence of the Nietzschean concept of life is represented in his “Die at the right time!” manifest. Nietzsche’s position coincides with liberal humanism, but contradicts the ideas of socialist humanism. The scientifc study of life is multidisciplinary. In this context, life is analysed as the basis of human freedom: from the ability of chemical autocatalysts to mutate, through the “power of will” to human freedom. The “power of will” characterizes the range of an organism’s freedom in its movement towards death. At the stage of post-non-classical science, interdisciplinarity is replaced by transdisciplinarity, which means going beyond scientifc knowledge into the sphere of culture and everyday life. The scientifc and the philosophical understandings of life are drawn closer together.Biological rationality appears as a dilemma: life is rational because it is a prerequisite for freedom, while ending one’s own life to assert freedom is also rational. The realities of the digital society chart a coursefor rationality to go beyond humanism. Biological rationality is a signifcant stage in the development of rationality, which is eliminated by its further development.
개화기 우리나라의 지도학 측량교육 소고(小考) : 보성전문학교 임업속성과를 중심으로

It has already been revealed in a prior study that the first modern map of the Korean Peninsula was produced by the Japanese Military Surveys. The Korean Empire government established an intellectual department in 1895 and established the Yangjiamun in 1898 and attempted to train the survey for mapping and development, but there was some discussion among the Chungchuwon about the abolition of the issue. Map and survey education for making modern maps of Korea was first conducted at Yungheung Agricultural Training Center in 1909. It was the implementation of the new education and forest law that the survey education became an urgent matter for Korea. As a result, surveying schools and institutes have been established in Seoul and other parts of the country, stimulating survey education. It is believed that the year 1908 to 1909 was the heyday of surveying school. At this time, Yungheung Agricultural Training Center of Bosung Primary School was transferred to the forestry properties of Bosung College. However, the four short years of surveying have been short-lived due to financial difficulties and the annexation of Korea.
Preservação digital: um estudo nos periódicos da área da educação abrigados na Rede Cariniana

The growth of documents in digital format has been provoking several changes in the scenario of scientific research and electronic journals are gaining more and more space and investments. However, there is also a need to discuss some aspects that may influence the long-term survival of the contents that are in this context, such as digital preservation in electronic journals. In this sense, the main objective of this research is to investigate Brazilian journals in the field of education, sheltered in the Cariniana, regarding the criteria of digital preservation. A descriptive study, carried out from a documentary research on the spreadsheets provided by the aforementioned network, using data collection two instruments developed by the author to collect the material. It presents, based on the researched literature, concepts, strategies and methods for digital preservation of journals. It concludes that the analyzed journals present some methods for digital preservation but lack of establishment of preservation policies.
СОЗДАНИЕ АЛГОРИТМА МОДЕЛИРОВАНИЯ ИЗОБРАЖЕНИЙ КОРАБЛЕЙ И МОРСКИХ СЦЕН В СИСТЕМАХ НАБЛЮДЕНИЯ С СИНТЕЗИРОВАННОЙ АНТЕННОЙ РЕШЕТКОЙ

There are considered the features of moving ships images formed by the on-board surveillance system with synthetic array. It is proposed the structure of a scene simulation forming considering objects’ properties and noises statistics. The results of simulation as well as algorithms of separation and identification of scene elements are presented.
New comms tech to change jobs, lives

Recent releases offer better communications, effective emergency alerts, real-time tracking, and other capabilities that improvesafety and streamline rescue efforts
The aims of physical education

Physical Education (PE) has always been a trickysubject to deal with. Although It is in the schoolcurriculum in most senior secondary schools andthere is a teacher for physical education, her job ismostly to check the length of the hair and nails orpunishing students for not passing recommendedstandards of personal hygiene or discipline.She is in the forefront during the celebration ofnational days. Unlike other subjects, there are noassessments. It is often difficult to acknowledge thecontribution of physical education in the teaching learning practices of a school.
A Model-Driven Parallel Processing System for IoT Data Based on User-Defined Functions

Internet of things (IoT) devices have produced large data rapidly in recent years. Though parallel computing architectures like Map-Reduce have been successful in processing massive data, they are not enough for problems in practice. The variety of IoT sensors and usage requires many different applications, where applications may involve complex logic that unsuitable for ordinary Map-Reduce model, and the management of those applications can be difficult. This paper presents a novel model-driven parallel processing system based on user-defined functions to solve these problems. The system uses a model-driven method to define and manage parallel computation tasks, separates the procedure of data collection and data computation, presents a generalized user-defined function (UDF) abstraction for data computation that allows users to implement applications in a simple way and largely reduces the cost of programming. The system runtime is based on Apache Spark and computation tasks are translated into Apache Spark applications. Experiments show that the system performance is as good as theoretical expectation.