Reviewerly/exHarmony huggingface dataset:
Real Time Signal Quality Aware Ecg Telemetry For Iot Based Health Care Monitoring System

Nowadays interest era slowly entering into each day lives, commutation preceding gadgets and strategies with more modern smart ones. Though they will be meant to help human beings, the response and disposition to use such new devices through the individuals is unexpected, particularly a number of the older. A fall event is one a few the maximum factors which have an effect on the bodily partner degreed intellectual health of an older man or woman. Injuries related to falls encompass physical damages like Heart assaults, bone fractures and desired animal tissue lesions. A fall has conjointly dramatic highbrow results, as it extensively reduces the assure and independence of affected people. Interest era victimization wireless sensors has reached a immoderate diploma of maturity and dependableness and therefore the ones devices are presently being deployed in houses/nursing homes to be used in coping with human’s health. In this challenge, partner diploma increased fall detection machine is planned for older man or woman observance it's far supported realistic sensors worn on the frame and operative thru client home networks. The practical sensing elements includes temperature sensor, graphical report sensing element and heartbeat sensing detail, the ones sensing element values are measured by means of the use of a microcontroller unit MCU) and it transmit to the computer through Wi-Fi. It's going to gain the sensing detail values and keep into the statistics base. If any sensing detail clearly well worth exceeds the restrict it will suggest the corresponding individual.
Networks Connecting to Hybrid Cloud DCs: Gap Analysis

This document analyzes the IETF routing area technical gaps that mayaffect the dynamic connection to workloads and applications hosted inhybrid Cloud Data Centers from enterprise premises.
ROLE OF VIRTUAL REALITY IN QUALITY ASSURANCE EDUCATIONAL SERVICES OF HIGHER EDUCATION INSTITUTIONS

The article states that education is one of the most innovative industries that provides competitiveness of the economy, which requires a constant search for new methods, tools and forms of learning. General and specific characteristics of educational services are disclosed; analyzed various types of services: educational, scientific. The complex impact of VR technologies on all types of services offered by the HEI is determined.Research into the role of virtual reality in providing quality educational services is based on the fact that these technologies meet all modern requirements and have huge potential. The conditions for the introduction of virtual reality technologies and the issues that are solved through the system of higher professional education are defined; the content of digital competence required by the teacher for successful use of VR technologies in education is analyzed.VR is the ideal learning environment, the perception of a virtual model with a high degree of reliability allows qualitative and fast training of specialists in various fields: aviation, process control, medicine, remote control of technical means and more. However, in Ukraine, VR is only just beginning to be implemented in the educational process, which is related to the economic situation of the Ukrainian HEIs and the low level of awareness and, as a result, teachers’ willingness to use VR for educational purposes. The results of the questionnaire survey of the teachers of technical HV concerning the request and the ability to introduce VR in the educational process are presented, which proves the correlation of teachers’ age categories with their awareness and readiness for implementation. The results of the study prove that the vast majority of teachers are positive about VR technologies, but they are not sufficiently aware of the characteristics of VR technologies and the particularities of their use in teaching.
APLIKASI LAYANAN MONITORING PROGRES HASIL PLASMA PERKEBUNAN KELAPA SAWIT BERBASIS WEB

Koperasi Plasma Baringin Siduampan West Pasaman regency is Koperasi focus cultivate palm oil plantation, its profit sharing. During time there is no monitoring system for the progress amount of product oil palm, the problem in the plasma. any member has difficulty getting information about the progress of oil palm plantation because Koperasi Plasma management does not have the tools to deliver information to koperasi plasma members . regularly, the process of monitoring plasma product is still manually by recording collection data in some books and records into the Microsoft Excel application. That needs a long time and mistakes can be in creating progress reports on koperasi plasma of palm oil plantations. Therefore, the requirement for a web-based application applying the PHP programming language and database MySQL that can help every member of the Koperasi Plasma Baringin Siduampan in monitoring the progress of plasma palm oil palm plantation products. Applying the PHP programming language database MySQL can design a monitoring system for the production of palm oil plantations. Aim of the research is to help the Koperasi Plasma Siduampan palm oil in monitoring the growth of oil palm plantations and profit sharing. In the monitoring system that is implemented, the administrator makes progress data entry including progress photos, oil palm plantation product, and amount of income for any group member. any group member can be accessed and monitor the system based on data that has been identified by the administrator. So that with the information system this monitoring service can produce information simplify for each member of the Koperasi Plasma Baringin Siduampan in monitoring the progress of oil palm products.
Guides: Temporary Access to Electronic Resources During Instructional Continuity: Home

A guide to temporary access provided by Georgetown University Library and select publishers during the COVID-19 epidemic and instructional continuity.
I2VSM Approach: Self-monitoring of Patients Exploring Situational Awareness in IoT

Mobility has become a daily practice of physicians, so it is possible that they remain periods of time without contact with the teams that support them in the treatment of patients. Longer periods between communications can cause delays in performing procedures, drug prescribing, etc. Considering this scenario, this work has as objective the conception an approach, called I2VSM, exploring IoT features and integrating: (i) a platform for acquisition of vital signs, (ii) an environment for contextual processing, which through customizable rules builds the Situational Awareness of the patients; and (iii) a textual and graphic display interface for these signals. As a source of vital signs, the MIMIC-III database is being used, which has been widely accepted by the international community for this purpose. In turn, for the evaluation of I2VSM together with health professionals, we explored the Technology Acceptance Model (TAM), obtaining promising results.
A Factors Affecting the Use of Mobile Learning in Higher Education: An Iranian Context

The aim of the present study was to investigate the factors influencing the use of mobile learning in the higher education milieu. The research has used the descriptive survey methodology. The participants in this study were 265 professors at Shahid Beheshti University, Tehran, Iran. These participants were chosen randomly. The data were collected by a questionnaire consisting of 42 questions. The questionnaire was developed through a review of existing literature in this field. The reliability of the questionnaire was measured 0/89, using the Cronbach's alpha with SPSS software. To analyze the data and identify the factors, the exploratory factor analysis was run. The results revealed the factors affecting the use of mobile learning in higher education from the perspective of teachers, including technical and technological factors, Attitude factors, personal factors, skills and knowledge factors.Keywords: Higher education, mobile learning, contributing factors, Shahid Beheshti University, Iran.
Obstacle Avoidance of a Quadrotor Based on Potential Field Method with Deep Reinforcement Learning

In motion planning of robots such as quadrotors, potential field methods are useful so that robots avoid obstacles. The artificial potential field method, which is one of the potential field ones, enables us to plan actions. However, the quadrotors sometimes fail to avoid the obstacles because the artificial potential field method does not take into consideration the inertia effect arising from the velocity of the quadrotors. To overcome the inertia effect, we give an idea of applying deep reinforcement learning to the artificial potential field method to determine an additional reference signal to the quadrotor. Thanks to this reference signal, the quadrotor improves the performance in trial and error to avoid the obstacles. Then the robot achieves an optimal action from the velocity of the robot and the position of the obstacles.
Advances in neuromorphic photonics (Conference Presentation)

Neuromorphic photonics is an emerging field at the nexus of photonics and neuroscience, which combines the advantages of optics and electronics. By combining the high bandwidth and efficiency of photonic devices with the reconfigurability and parallelism of optical architectures, photonic processors have the potential to be faster than state-of-the-art electronic processors while consuming less energy per computation. We will look at the traditional challenges of photonic information processing, describe some photonic neural-network approaches, discuss their applications in neuromorphic computing and machine learning, and talk about the scalability of these platforms.
LibGuides: Guide to Vintage Musical Keyboard Repairs: Home

A guide to the workings of analogue electronic pianos of the 20th Century and what to do with them when they're not working
Subject guides: MicroMasters® at the University of Edinburgh: Finding resources

An introduction to the resources available to support your learning Guidance in navigating the wide variety of resources available to you in your subject, how to search effectively for academic and non-academic resources, and how to access what you find.
The Effectiveness of Content-Based Instruction to Teach Writing Skill for Junior High School Students

The aim of this study was to know the effectiveness of  Content-Based Instruction approach in teaching writing skills. Pre-test and post-test are used in this study to get the data. The samples of this study consisted of 39 students, they are  Class VIII H as an experimental group and class VIII I as a control group. The data were analyzed by statistical analysis. Then, The statistical calculation showed the value of T-obs was 14.206, while the value of T-table was 2.021, meaning that T-obs is higher than T-table. In conclusion, therefore, it means that the Alternative Hypothesis (Ha) is accepted while the Null Hypothesis (Ho) is rejected. It means that the implementation of Content-Based Instruction is effective to teach writing skills for Junior High School Students.
Mobile Apps (EnglishListening and 6 Minutes English) and the Listening Skill

Mobile technology has notably taken on an important role in the educational field. There are wide range of resources that are available to improve different skills in certain areas that we do not know yet. The main aim of this study is to determine the influence of the EnglishListening and 6 Minutes English mobile applications in the development of listening comprehension. The study aims to evaluate the effectiveness of the mobile apps through the improvement of students’ listening skill after two months of using the mobile apps and to determine student’s acceptance of mobile technology as a methodology for learning English and developing the listening skill. The study is developed at the Unidad Educativa Prócer Manuel Quiroga in Santo Domingo City, in Ecuador, with 63 students from the 3rd year of baccalaureate. Thirty-three students were part of the experimental group and thirty students were part of the controlled group. To collect the information, the researcher uses standardized Pre-test and Post-Test. All the obtained data is analyzed through the Wilcoxon test, in which we obtained results that showed that EnglishListening and 6 Minutes English mobile applications had 95% positive effects in the development of the listening comprehension. Finally, it concludes that EnglishListening and 6 Minutes English are two mobile applications that can be trusted by teachers and used to develop listening comprehension in students. These applications provide a great variety of interactive, innovative and educational activities to manage listening. Their systems are reliable and contain truthful information to be imparted in a class. Based on the results this research suggests that teachers should apply the EnglishListening and 6 Minutes English mobile applications in order to develop listening comprehension in English as foreign language. These apps deliver multiple and great benefits to students because of their innovation, contents, methodology, interest and interaction.
Adapting Sequence Alignments for Text Classification

Text classification is still an area growing as text sizes grow rapidly with the information and internet revolution. The majority of conventional text classification approaches are hierarchical training, where the classification system explicitly differentiates between groups. However, this is different from the nature of language processing which suffers from ambiguity and lack of clarity. That is, the instance could be of more than one class. This paper handles the problem of text classification by applying a novel classification method based on sequence alignment with simple fuzzy concepts. The experiments showed expected performance compared to other conventional classifications of natural languages.
Оценка использования метода рентгенофлуоресцентного анализа при оценке загрязнения почв тяжелыми металлами (на примере загрязнения почв в зоне воздействия предприятия цементной промышленности) : аннотация магистерской диссертации / Дыбчик Кастусь Анатольевич; Факультет мониторинга окружающей среды, Кафедра экологического мониторинга и менеджмента.: науч. рук. Головатый С. Е.

The purpose of the dissertation research is to assess the possibility of using the non-standard method of X-ray fluorescence analysis as an accelerated method for analyzing soils for the content of heavy metals on the example of the soil cover of the area affected by the cement industry.
Questionnaire responses to model complexity in geosciences

This dataset contains: - the questions and answer options of a questionnaire on model complexity (‘Questionnaire.pdf’) - the answers to a questionnaire on the topic of model complexity (‘Questionnaire_responses.xls’) This questionnaire was sent out in mid-October 2018 and closed on 12 November 2018. The objective of the study was to investigate the geoscientific community’s views on complexity in models
Information Security Management

No AccessHandbuch IT-ManagementMar 2020Information Security ManagementKlaus SchmidtKlaus SchmidtSearch for more papers by this authorhttps://doi.org/10.3139/9783446462809.018SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2020Pages: 797-840Print ISBN: 978-3-446-46184-0eISBN: 978-3-446-46280-9 Copyright & Permissions© 2020 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
Improving the performance of sentiment analysis in health and wellbeing using domain knowledge

Sentiment analysis is a natural language processing task that aims to automatically classify the sentiment expressed in text. In this study, we compare the performance of five publicly available sentiment analysis tools along with the ensemble method that combines them. Their performance was evaluated on two datasets, which represent user-generated content. One of these, namely drug reviews, is related to health and wellbeing. The second one, movie reviews, is used for cross-domain comparison of sentiment analysis. Explicit domain knowledge formally modelled by the Unified Medical Language System was used for semantic enrichment to investigate whether it can improve the performance of the sentiment analysis tools considered, by reducing the bias towards the negative sentiment. Our experiments demonstrated an improvement in F-score by 7 percent points.
Research Guides: Tips and Tricks for Teaching Remotely: Get Help & About the Author

This guide is intended to introduce you to material and resources that may help you when teaching a class remotely.
?쒓뎅쨌以묎뎅쨌?쇰낯 議곗꽑?곗뾽??二쇰룄沅?蹂?숈뿉 愿???곌뎄

Purpose- This research empirically proves that global shipbuilding industry leadership has moved to Korea from Japan and to China from Korea in the...
combination of Semantic Relatedness with Supervised Method for Word Sense Disambiguation

We present a semi-supervised learning method at efficiently exploits semantic relatedness in order to incorporate sense knowledge into a word sense disambiguation model and to leverage system performance. We have presented sense relativeness algorithms which combine neural model learned from a generic embedding function for variable length contexts of target words on a POS-labeled text corpus, with sense-labeled data in the form of example sentences. This paper investigates the way of incorporating semantic relatedness in a word sense disambiguation setting and evaluates the method on some SensEval/SemEval lexical sample tasks. The obtained results show that such representations consistently improve the accuracy of the selective supervised WSD system.
LibGuides: SJC Libraries Remote Services & Support: Using the SJC Libraries from off campus

Guide to assist students and faculty in accessing library resources from off campus locations.
Research Guides: IS 490: Senior Project: Finding Articles & other resources

This guide gives general suggestions for library resources for students completing their capstone projects in Information Systems.
Google’s Private Copyright Rule-Making and Algorithmic Enforcement

This chapter evaluates Google’s approach to copyright enforcement across its own platforms. Increasingly, Google self-regulates and negotiates with rightsholders to privately devise copyright rules. Google then deploys algorithmic regulatory technologies to enforce those rules. Indeed, over the past decade, Google has developed a range of algorithmic tools it uses to deter copyright infringement, enforce copyrights, and remunerate rightsholders. These activities limit transparency and accountability in digital copyright governance and privilege private interests and values over the public interest. In a digital environment dominated by powerful private actors, the use of algorithmic regulatory systems poses a critical problem for public rights and democratic, accountable systems of governance, now and into the future.
La educación en línea y el rol de la motivación

The online courses dropout is significantly higher than traditional courses and educational institutions are worried about this problem. Through the review of scientific literature, which tries to explain the dropout of students from online education, it is identified the motivation, the communication problems and the degree of social and academic integration which are some of the main reasons for dropping out of online courses. To consider motivation as a factor that causes abandonment, a review of Self-Determination Theory (SDT) is presented and, after being applicated to educational, sports, job and clinical domains, has managed to continue in force. SDT links the personality, the human motivation and the optimal functioning, postulating both, the intrinsic motivation and the extrinsic motivation have a great influence on individuals and their behavior. Finally, it is discussed the connection between SDT and the findings of recent research that try to identify relevant categories of abandonment in online education and propose actions to avoid the feeling of isolation in students helping them to increase their motivation in order to remain in an online course.
Analysis of Student Members’ Attitudes on Out-of-Curriculum Science Communication Activities and Resultant Educational Effects

The out-of-curriculum project team “Rika-Kobo” organized by university students has actively performed various science communication activities in local community that mainly aim to stimulate interests of children and other generations into various fields of sciences and technologies for over 15 years. The activities of the project team are in out-of-curriculum basis. This means that the student members are not extrinsically motivated, but instead voluntarily involved in the activities. As a result, they are likely to have the same level of motivations and enthusiasms, leading to generally high qualities in the activities. As the supervisor of the activities, the author believes that the out-of-curriculum situation of the activities is critical for realizing such successful performances. For investigating actual attitudes of the student members towards involvement in the activities, questionnaires were provided in which among other questions, the student members were asked whether or not they were in favor of the situation of incorporating the activities into official education curriculum of the university so that the student members can get credits and/or improve their GPA scores through their participation in the activities. The obtained results showed that the majority of the student members believed that the activities should remain in the out-of-curriculum basis, similarly to the author’s opinion as the supervisor of the activities. Interestingly, the student members in higher grades (in other words, with longer period of experiences in the activities) were likely to be in more strongly favor of the out-of-curriculum situation. Longer period of participation in the activities makes the student members further believe that their intrinsic motivation is a key factor for achieving satisfactory and successful performances and results.
Is Emotional Intelligence an essential element in global learning environment to become socially responsible innovators?

Emotional intelligence in its basic sense is defined as the term representing the ability of an individual to understand his/her own emotions as well as others. 21st century is considered globally as knowledge-based society by eminent scholars, policy makers, stake holders etc, the question still remains unanswered is 1. Have we achieved 100% literacy rate globally? 2. Is there a sustainable development in global Economy? 3. Is there an Economic and Social narrow down between developed and developing nations of the world in terms of Education, Health, Industrialization? The inventions in 20th century contributed to a large extent providing material comfort to both developed and developing nations without addressing the emotional well-being of its citizens the core constituents of human capital. Therefore, the present-day global learning environment is expected to refine the emotional intelligence trait of teachers, the key players in shaping the society to a well-equipped emotionally successful global innovator.
Subject Guides & Tutorials: ‘Free for Now’ Resources for Online Learning: E-Books

During this crisis, vendors are stepping up to ensure that you and your kids can keep learning while at home. Explore this “Free for Now” resource list. Wyoming residents can also check out GoWYLD.net and log in with a library card.
鍮덉뭏 梨꾩슦湲?cloze-test) ?쒕룞???꾨엻???숈뒿?먯쓽 ?쎄린 ?λ젰??誘몄튂???곹뼢

The purpose of this study is to investigate the effectiveness of teaching reading using cloze-test activities on Arabic learners??reading ability and...