Reviewerly/exHarmony huggingface dataset:
Simulation Methods and Software Engineering Principles for the Analysis of Cost-Effective Disease Prevention

&lt;p&gt;The Canadian healthcare system is among the most well-recognized healthcare systems in the world; however, it has been facing many challenges in several recent years.&lt;/p&gt; &lt;p&gt;In this paper, we plan to understand how Software Engineering and Software Reuse can help the Canadian Healthcare system become more efficient and effective in treating chronic illnesses and for this thesis primarily Type-2 Diabetes (T2D).&lt;/p&gt; &lt;p&gt;The investigators in this research, attempt to understand the current state of healthcare in Canada and then, with the help of Software Engineering and Software Reusability concepts, propose a simulation software package.&lt;/p&gt; &lt;p&gt;In the end, we used the developed software to simulate a randomized controlled trial (RCT) for testing the cost-effectiveness of two prevention programs of gym incentives and diabetes prevention program versus a control group not enrolled in any prevention program.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt;
THE IMPORTANCE OF MEASURING THE GAP LEVEL OF INFORMATION SYSTEM USER SATISFACTION IN THE WORLD OF EDUCATION IN UNIVERSITY: ELECTRONIC SERVICE QUALITY MODEL

Education is an important thing in life in order to develop human potential and increase the quality of Human Resources and Human Resources are needed by educational institutions in order to gain success and achieve goals. Servqual in services in the academic field by using the e-servqual method (electronic - service quality). The University is one of the higher education institutions that participate in educating the nation's life and the quality of service has a significant effect on user satisfaction and there is still an academic information system used by the University that is still not optimal.&#x0D; This research is a quantitative study with a descriptive statistical approach with 200 students as respondents. The measurement method uses the E-Servqual model. The results of the study based on calculations in measuring the gap show user satisfaction using the electronic service quality method that the Academic Information System has not provided services that have not been maximized in the form of fulfillment and efficiency because the perception is still below expectations while measuring the level of user satisfaction gap as a whole by using the CSI (Customer Satisfaction Index) value is 79% and shows that the quality of the University's academic information system services is good.
Gender, Age and Emotion Recognition using Deep Learning

Automatic gender and age recognition have now pertinent to an extension of its usage in various software and hardware, particularly because of the growth of online social networking websites and social media. The advertisements can be specialized based on the age and the gender of the person on the phone. It also can help identify suspects in criminal cases or at least it can minimize the number of suspects. A Convolution Neural Network is a deep neural network (DNN) widely used for the purposes of image recognition and processing and NLP. A convolution neural network architecture is built and the model is trained for gender, age and emotion recognition from images. Anandroid application can be developed implementing the age, gender and emotionrecognition. With the phone capturing the photo, the frames are pre-processed and fed to the model to accomplish this task, and the prediction is displayed accordingly.
3D Object Detection Based on Point Cloud Data

In the Industrial robotic, computer vision is an important part of the system. The popular object used in the industrial field is a 3D pipe. The problem that is currently being developed is how to detect an object. This research aims to estimate the object detection that is, in this case, is a 3D pipe in various lighting conditions. The camera used in this research is Time of Flight. The methods applied are Remove NaN data for Pre-processing, Random Sample Consensus (RANSAC) for Segmentation, Euclidean Distance for Clustering, and Viewpoint Feature Histogram (VFH) for the object detection. A study conducted on five different objects found that the system could detect each one with a success rate of 100% for the first object, 98.05 percent for the second object, 93.97 percent for the third object, 94 percent for the fourth object, and 99.48 percent for the fifth object. Overall, the system's accuracy in detecting the object is 97.1 percent when four different lighting conditions are applied to five different objects in total.
IMPLEMENTATION OF A PROBABLE DEEP NEURAL NETWORK DECODER FOR STABILIZER CODES

Recently, there has been a rapid increase in interest in quantum computers. Their work isbased on the use of quantum-mechanical phenomena such as superposition and entanglement forcomputing to transform input data into outputs that can actually provide effective performance3–4 orders of magnitude higher than any modern computing devices, which will allow solving theabove and other tasks in real and accelerated time scale. This work is a study of the influence ofthe environment on a quantum system of qubits and the results of its implementation. A probabilisticdeep neural network decoder for stabilizer codes has been developed. The issues of error correctionfor a three-bit code without state decoding are analyzed and considered. The relevance ofthese studies lies in mathematical and software modeling and implementation of correction codesfor correcting several types of quantum errors in the development and implementation of quantumalgorithms for solving classes of problems of a classical nature. The scientific novelty of this directionis expressed in the elimination of one of the disadvantages of the quantum computationalprocess. The scientific novelty of this area is primarily expressed in the constant updating andsupplementation of the field of quantum research in a number of areas.
High Interest, Low Adoption. A Mixed-Method Investigation Into the Factors Influencing Organizational Adoption of Blockchain Technology

Statistics show high levels of interest in blockchain technology, however, considerable adoption has not occurred. This research examines why interest is high, yet levels of adoption are low, by identifying the factors influencing blockchain’s adoption and systematizing them into a theoretical framework. A mixed methodology is used to address the adoption factors. First, a qualitative approach is used to discover the factors from primary data collected from 25 interviews with 23 different organizations. Second, a survey is employed to empirically test the factors with 146 employees from 71 organizations. A total of 18 factors are discovered and seven are tested. The findings support and validate several factors influencing blockchain adoption and contribute a novel factor; perceived technological volatility. A new empirically validated scale is developed to measure organizational perceptions of a technology’s volatility. Furthermore, this research is one of the first to employ a mixed methodology to address blockchain technology adoption.
National Cooperative Geologic Mapping Program–Educational Component (DOI)

Federal Grants & ContractsVolume 45, Issue 23 p. 6-6 Grants alerts National Cooperative Geologic Mapping Program–Educational Component (DOI) First published: 01 November 2021 https://doi.org/10.1002/fgc.32037Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume45, Issue234 November 2021Pages 6-6 RelatedInformation
Implementation System of Health Care Kiosk for Detecting Cholesterol Disease, Uric Acid, Obesity and Hypoxia

The development of technological advances in the health sector in the last decades has grown very rapidly. Currently, most people do not receive routine medical check-ups because of the long lines of patients and the expensive rates they must pay to see a specialist doctor. This causes many people to ignore the importance of routine health checks as recommended by the National Health Agency. The purpose of this research is to make a device that can perform routine checks independently at home, using an Arduino microcontroller for checking cholesterol, uric acid, obesity, and hypoxia. This tool has several sensors, namely Ultrasonic &amp; Load Cell sensors to measure weight and height, which are used to detect obesity through the BMI table. In addition, there is a Pulse and Oxygen in Blood Sensor (SPO2) sensor to detect heart rate and oxygen saturation to detect hypoxia using the fuzzy logic method. Cholesterol and uric acid examination using the Electrode Based biosensor method with a digital detection device (amperometric biosensor). Testing the Tsukamoto fuzzy logic method system obtained a data accuracy value of 100%, following the rules set for classifying hypoxic diseases. The trial phase was carried out as many as 10 trials, where 90% of patients did not experience hypoxia, and 10% had mild hypoxia. The results of testing the BMI table method system for obesity obtained a data accuracy value of 100% according to the calculation of the BMI calculator. In phase 10 trials, 30% of patients were lean, 50% obese, and 20% obese. The system test results use a range of values, each with a data accuracy value of 100% according to the classification of cholesterol and uric acid levels. Ten trials showed that 70% of patients were in normal condition, 20% of patients with low cholesterol, and 10% of patients were in high limits. As for gout, 70% of patients are in normal condition, and 30% of patients are in high uric acid condition.
US: Monolith Materials – carbon black

Its size and complexity, cloud externalization is considered for enhancing security in API. Nonetheless, cloud storage API has two key problems that allows user usability to be effectively functioning and that securely update cipher text in cloud through a new access policy for data owner. This paper recommends an effective secure access update algorithm based on an optimum cryptographic algorithm for API in cloud. Proposed method uses an optimal homomorphic Encryption (OHE) algorithm for secure storage. With Adaptive Salp Swarm Optimizations (ASSO), key values for the OHE algorithm are optimally selected. The proposed project also allows cloud server to efficiently update cipher text and monitor updates against cloud misbehaviors when a new access policy has been mentioned by data owner. It enables data proprietor and skilled users to effectively monitor legitimacy user data access and allow the user to verify that information provided by others is correctly recovered in plaintext. For that, the suggested method utilizes the attribute based access control model. Its analysis reveals how the policy reform program is formulated accurately, completely, safely and efficiently. The performance of the method proposed is measured by differentiating data and the cluster size due to its memory and execution times. Unlike the existing systems with a secure update in the access policies, this approach consumes minimum memory and time. The proposed process is introduced in cloud handset to Hadoop Map Reduction Framework.
The digital revolution in higher education

Proponents of digital technology in higher education have predicted revolutionary changes with each successive wave of emerging technologies. So far, the predictions have consistently fallen short of the radical disruption envisaged, instead realizing more partial adoption and modest shifts in practice. This chapter seeks to better understand this cycle by exploring how the hype generated by educational technology belies a more complex reality. It begins by reviewing how the notion that all students are digital natives was debunked and then assessing progress in the integration of two recent digital technologiessocial media and MOOCs. Drawing on the distinction between transactional and transformative perspectives of higher education, the chapter highlights tensions between the ambitions for new technologies and approaches to learning, teaching, and institutional operations. Implications are discussed with reference to the forces of massification, vocationalization, and marketization, which are reshaping global higher education, and the effects of the COVID-19 pandemic.
Take Note When (not) to ban laptops from classrooms

Hi, I’m Danny Oppenheimer. If laptops are banned in your child’s classroom, you may have heard of me. That’s because it was my lab that showed that students perform better when they take notes by hand than when they use laptops. Before I knew it, those studies were used as justification for laptop bans in classrooms around the country. I receive a lot of angry emails berating me about these policies—which is unfortunate, since I don’t actually advocate for blanket laptop bans, and never have. In fact, I don’t even ban laptops in my own classes.
Multidimensional Fibonacci Coding

Fibonacci codes are self-synchronizing variable-length codes that are proven useful for their robustness and compression capability. Asymptotically, these codes provide better compression efficiency as the order of the underlying Fibonacci sequence increases but at the price of the increased suffix length. We propose a circumvention to this problem by introducing higher-dimensional Fibonacci codes for integer vectors. The resulting multidimensional Fibonacci coding is comparable to the classical one in terms of compression; while encoding several numbers all at once for a shared suffix generally results in a shorter codeword, the efficiency takes a backlash when terms from different orders of magnitude are encoded together. In addition, while laying the groundwork for the new encoding scheme, we provide extensive theoretical background and generalize the theorem of Zeckendorf to higher order. As such, our work unifies several variations of Zeckendorf’s theorem while also providing new grounds for its legitimacy.
First International Conference on Physical Geography and Physical Processes Landscapes (ICPPPL 2021)

We would like to express our gratitude to all participants joining “First International Conference on Physical Geography and Physical Processes Landscapes (ICPPPL 2021)”. The participants of this ICPPPL 2021 are research students, academicians and researchers, scholars, scientist, teachers and practitioners from many countries. Due to Covid-19 this conference was held in virtual mode. 28 participants attended this conference. This conference is not postponed because it relates to the needs of scientific forums/publications in 2021 and it can implement in a virtual model. This conference becomes a dissemination forum for scientists working on theoretical and empirical research of Physical Geography, Environmental Science, Renewable Energy and Natural Disaster. All keynote were run smoothly despite the time difference between Jember, Indonesia, and the keynote speakers’ time zone. This This virtual conference was held on October 16, 2021 using a zoom cloud meeting. The committee is located in Jember, Indonesia. At the plenary session, keynote speakers were given 60 minutes to presented the material, and then continued Q &amp; A session (45 minutes for 3-5 questions). For parallel sessions, authors/presenters were given 15 minutes to presented their papers including Q &amp; A sessions (for 2 questions). Overall participants number is 28, located in Morocco, Malaysia, and Indonesia (virtual mode using a zoom cloud meeting) This conference’s mission is to become an annual international forum in the future, where civil society organization and representative research students, academics and researchers, scholars, scientists, teachers, and practitioners from all over the world could meet and exchange an idea to share and discuss about research. The aim of the conference is to present and discuss the latest research that contributes to the new ontological, epistemological and axiological knowledge. On behalf of the organizing committee, we would also like to extend our thanks to all lovely participants who have been joining this unforgettable and valuable event. On behalf of the Organizing Committee Fahmi Arif Kurnianto Editors of First International Conference on Physical Geography and Physical Processes Landscapes (ICPPPL 2021) Bashkim Idrizi Department of Geodesy, University “Mother Teresa” -Skopje, Macedonia Guillermo Hector Re Department of Geology, Universidad de Buenos Aires, Buenos Aires, Argentina Fahmi Arif Kurnianto Department of Geography Education, University of Jember, Indonesia; and Institute of Tropical Geomorphology (ITG), Indonesia Lyubka Pashova National Institute of Geophysics, Geodesy and Geography, Bulgarian Academy of Sciences disabled, Sofia, Bulgaria Marinela Istrate Department of Geography, Universitatea Alexandru Ioan Cuza, Iasi, Romania Mohmadisa Hashim Department of Geography &amp; Environment, Universiti Pendidikan Sultan Idris, Malaysia
PELATIHAN RETORIKA DAN MENULIS TEKS CERAMAH KELAS XI SMK NUSANTARA 02 KESEHATAN (KORELASI MENULIS TEKS CERAMAH DAN PRAKTIK RETORIKA)

Writing skills are an important aspect of academic performance as well as performance related to active skills that must be mastered, including in class XI SMK students. However, there are still many students who are not good at it, including writing lecture texts. Apart from the lack of skill in writing lecture texts, advanced stages such as rhetoric practice (lectures) are still low. Thus, this study focuses on examining the correlation between lecture text writing skills and achievement in rhetorical practice (lecture). The method used in this research is descriptive quantitative method with 50 participants of class XI SMK 02 Nusantara Kesehatan who have previously participated in online Community Service (PKM) activities carried out by the Indonesian Literature Study Program at Pamulang University with the theme &amp;quot;Rhetorical Practical Online Training in Writing Skills. Text of the Class XI Student Lecture at SMK Nusantara 02 Kesehatan &amp;quot;which was held 7—1 September 2020 with Google Meet media. The result of this study is a very significant influence between the skill of writing lecture texts (X) on the achievement of rhetoric practice (Y), which is 0.926. In addition, there is a contribution made by the skill of writing lecture texts (X) to the achievement of rhetoric practice (Y), which is 85.8%.
Sounding the Alarm: Scholarly Information and Global Information Companies in 2021

Issues in for-profit scholarly publishing are not new. We are an electronic resources librarian and a systems librarian, and in the course of our research on unaffiliated users and academic libraries, we continued to identify and be stymied by trends in vendor technologies, systems, sales models, and products that caused concern. We hope to share these concerns, summarize the landscape, and also provide some advice on possibilities for collective action as we move forward.
PRACTICAL EXAMPLES ON BIM-GIS INTEGRATION BASED ON SEMANTIC WEB TRIPLESTORES

Abstract. The integration of geodata and building models is one of the current challenges in the AECOO (architecture, engineering, construction, owner, operation) domain. Data from Building Information Models (BIM) and Geographical Information Systems (GIS) can’t be simply mapped 1:1 to each other because of their different domains. One possible approach is to convert all data in a domain-independent format and link them together in a semantic database. To demonstrate, how this data integration can be done in a federated database architecture, we utilize concepts of the semantic web, ontologies and the Resource Description Framework (RDF). It turns out, however, that traditional object-relational approaches provide more efficient access methods on geometrical representations than triplestores. Therefore we developed a hybrid approach with files, geodatabases and triplestores. This work-in-progress-paper (extend abstract) demonstrates our intermediate research results by practical examples and identifies opportunities and limitations of the hybrid approach.
Addressing the Legal Dimensionof Quantum Computers

Quantum computers are legal things which are going to affect our lives in a tangible manner. As such, their operation and development must be regulated and supervised. No doubt, the transformational potential of quantum computing is remarkable. But if it goes unchecked the evelopment of quantum computers is also going to impact social and legal power-relations in a remarkable manner. Legal principles that can guide regulatory action must be developed in order to hedge the risks associated with the development of quantum computing. This article contributes to the development of such principles by proposing the quantum imperative. The quantum imperative provides that regulators and developers must ensure that the development of quantum computers: (1) does not create or exacerbate inequalities, (2) does not undermine individual autonomy, and that it (3) does not occur without consulting those whose interests they affect.
Online Education in a Korean Elementary School During COVID-19

This chapter discusses my personal experience in the fast changing Korean education field due to the COVID-19 pandemic. As discussed in this chapter, schools are continuing to provide positive education activities despite needing to rely on distance learning during these troubling times. Like preparation in all educational systems, what is vital during emergencies like the COVID-19 pandemic is the development of innovative teaching materials and the revitalization of teachers learning communities. While many teachers are struggling, we can wisely overcome this crisis and more effectively communicate with students to adapt to the new normal era.
Non-Gaussian Quantum States

In continuous-variable (CV) quantum computation, quantum states can be categorized into two types: Gaussian and non-Gaussian. Although many protocols, such as quantum teleportation, can be realized using only Gaussian states, non-Gaussian states are essential for harnessing the full computational power of CV systems. In this chapter, we will discuss how non-Gaussian states can be generated in the CV optical system. Unlike the Gaussian states that can be generated deterministically and relatively easily, generations of non-Gaussian states tend to be probabilistic and much more difficult. We will introduce the heralding method which is widely used for the generation of optical non-Gaussian states and show some of the basic experiments.
Workflow load Balancing using soft computing base novel framework with Qos Parameters

Cloud computing represents a new era of computing network, where the resources of the system are dispersed and shared among its users in the network premises. The user of this system is able to use such resources through the technology of internet based on system of Pay-As-Per-Use. If a service is used by any type of user, it helps in production of wide variety of data. So, the cost of data transfer between two of the dependent resources will be extremely high. Additionally, an application of complex nature involves large number of tasks boosting the process of total cost of execution with respect to the used application, if the process is not scheduled in an optimized manner. In order to overcome such issues, a hybrid approach of water cycle optimization is proposed with particle swarm optimization. This method is divided into two steps of working determining under and over utilized virtual machines. In experimental analysis, the proposed approach on different scientific workflows is done where significant performance in all the workflows is based on total execution time and total execution cost.