Reviewerly/exHarmony huggingface dataset:
Study the Satisfaction Level of Intelligent Wheelchair with the Disables - A Statistical Analysis

A sensorized device which has the facility of announcing the fire gas leake in indoor environment and also detect the unauthorized person entry able to measure the distance of target to hit with load control which is designed with the support of Multiple Sensors and decicated to wheelchair to prevent and secure the disable persons. After the design feedback received from different age groups of both gender and their disability percentage and income basis an analysis done how it is suitable to those people using SPSS package version 16.0 and the satistical study explained in this paper and correlations findout the result is positive obtained from the stakeholders hence thesensorized device is to be satisfy the need of the disables to promote their lifestyles and make them move alone without attender support to get education employement oppurtunities.
THE EFFECT OF MOTIVATION ON ENGLISH LITERATURE READING TO MEDICAL STUDENTS’ BLOCK EXAMINATION SCORE

Background: The reading interest rate of Indonesian society is relatively low (approximately 0,001). Meanwhile, during their study, medical students have to read numerous English literatures. Previous research showed that reading activity can be improved by reading motivation. However, studies about Indonesian medical students reading motivation on English literature are still limited. This study aims to assess the effect of students’ English literature reading motivation to the block exam average score.Methods: This was a cross-sectional study conducted in January 2018. We used stratified random sampling, and we found 274 samples that fit with inclusion and exclusion criterias selected. The motivation was assessed using the English literature reading motivation scale, block exam test results were obtained through the academic database. Data were analyzed with multiple linier regression test.Result: Students’ English reading motivation increased the block exam average score of Medical Students. Every increase of one score of motivation significantly increase 0,10 score block exam average (p&lt;0,001). Furthermore, every increase of one year of study can significantly increase 3,53 of block exam average score (p&lt;0,001); R2=18,3 %. English literature reading motivation of medical students UNS is in middle category.Conclusion: English literature reading motivation increase the block exam average score of Medical Students in UNS.
Diagnosing Asthma Expert System with Case Base Reasoning Methods

Asthma is a disease that is Often found in society, especially in the elderly. Asthma is a long-term chronic disease, if left to be fatal and can cause death. Limited access and costs, to patient health information, it is difficult, to know how much influence the disease. So to find out it needs to be built a simple application that can help and Facilitate the community. The purpose of this application is to identify asama disease in older people with 15 symptoms. For the development of expert systems, Several stages are needed items, namely: Analysis and Design of the data collection. This expert system application complies with asthma used by experts and users.
Why Design Students Need Application Programming Interfaces (APIs)

One of the perennial questions faced by designers, researchers, and students of design is to what extent they should develop a prototype in order to learn the most from it. In some cases, a simple paper sketch is sufficient. In others, a fully functional version is necessary in order to adequately convey the core concept. In this paper, we focus on the latter end of the spectrum, and propose that one way to quickly and efficiently create these kinds of prototypes is to identify and use one of the publicly-available application programming interfaces (APIs) that can be quickly found in API databases. In short, we seek to simplify prototyping in the field of Interaction Design that appears complex and multidisciplinary with a lot of moving pieces and formulate a way to streamline rapid prototyping. We argue that proper choice and use of an API allows designers with minimal knowledge in Information technology to skip the complexities associated with multidisciplinary ideas and enables them instead to traverse different regions of the design space. This helps prototyping, even in this fully-functional space, to take on additional roles such as a generator of design ideas, stimulus for reflection, and influence on behaviors in order to discover and refine design ideas. We ground our discussion in a case study focusing on design process of a language learning prototype that accesses half a dozen APIs to analyze uttered speech and visualize lexical stress in real-time.
On the need to develop a methodology for investigating crimes in the field of digital information circulation

The relevance of the study is due to the transition of the processes of circulating information about the interaction of individuals into information and telecommunication devices, its systems and networks, which causes changes in the structure of crime, determines the emergence of new methods and ways of committing acts prohibited by criminal law. In accordance with the above, changes are also taking place in the sources for displaying trace information about a criminal event, which are used by information and tele-communication devices, its systems and networks with increasing frequency. These circumstances necessitate the transition from traditional methods of crime investigation in favor of those techniques and methods that take into account the current level of technical development, allow us to receive digital information and generate evidence on its basis. The purpose of the work is to justify the need to offer new methods for investigating crimes in the field of digital information circulation. In the course of study based on a set of meth-ods of scientific knowledge, including abstract and logical, modern means of evidence are analyzed, on the basis of which the conclusion is drawn about the need to reform the procedural legislation, and the early development of new means and methods of investigating crimes. We substantiate the need for the active use of new types of special forensic examination: information-technology, examination of digital signatures, the process of developing and using software, computer-network examination, circumstances examination of the creation and use of individual files, and also discuss a range of issues addressed by these examinations.
Essays on OR in ALIO country members (part 1)

The Spanish Sociedad de Estadistica e Investigacion-Operativa, SEIO, devotes two volumes of its journal TOP (co-guest-edited by Antonio Alonso-Ayuso, Laureano F. Escudero and Nelson Maculan) to present works by representative authors of ALIO member countries. ALIO (Asociacion Latino-Iberoamericana de Investigacion-Operativa), https://www.alio-online.org/, is a regional association within IFORS.
Sistem Informasi Dengan Pendekatan Customer Relationship Management (CRM) Menggunakan Metode Service Quality

Anna Salon Spa is a beauty care business or service that provides various kinds of treatments. Primary data were obtained from interviews with Anna salon spa employees, while secondary data used library sources and research results and data collection techniques used interview, observation and documentation techniques. In this study, problems were found such as the difficulty in determining customer loyalty, the difficulty in calculating the cost optimally, the difficulty in conducting transaction recapitulation because there may be data missing or not being calculated correctly because Anna Salon Spa is still recording the data in the ledger. In addition, another problem that arises is the delivery of promotions that take more time because they have to send the same message one by one to customers or via Instagram and Facebook. The method uses the calculation of the actual value of service quality by comparing the value of customer perceptions with the value of customer expectations and expressed in percent, this method aims to determine the extent of service performance and measure customer satisfaction. To solve this problem is to build an information system with a web-based customer relationship management (CRM) approach that provides input to the applications used by Anna Salons Spas so as to provide comfort and satisfaction for customers and can help provide better, timely information systems. , and is accurate and recommends the right service so that it benefits the company. The use of service quality methods in this study is to know the value and measure customer satisfaction through the questionnaire given to customers.
Multi Encryption Approach for Privacy Preserving Authentication over VANETs

Multi encryption is the process of encrypting an already encrypted message one or more times, either using the same or a different algorithm. It is also known as multiple encryptions. Data encryption standard (DES), Advance Encryption standard (AES), RSA etc. are common security algorithm. With such algorithm, applying encryption twice even with the same key or different key may make it more secure. A Vehicular Ad-Hoc Network or VANET is a sub form of Mobile Ad-Hoc Network or MANET. VANET can also support other non-safety applications that require a Quality of Service (QoS) guarantee. This paper proposed multi encryption approach for data encryption and decryption sp that Vehicle can perform secure communication. In this work implement security algorithm based on Advance Encryption standard and RSA algorithm and estimate performances.
The Fundamental Right to Technology

Waves of technological progress in recent decades have tremendously improved quality of life. Meanwhile, concerns about technology-driven injustices, such as unfair distribution of wealth and racial discrimination, have deepened. Experts have cautioned that new technologies could have potentially devastating effects, claiming for instance that artificial intelligence may lead to World War III. We are at a crossroads, and how we harness technology now will determine the future of humanity. This Article presents a thought experiment, proposing that a new fundamental right to technology be recognized under the U.S. Constitution. Given that technology is of fundamental importance to human dignity and equality, this new constitutional right is designed to promote equitable distribution of technological benefits and to prevent harmful applications of technologies. This proposal is made with the hope that other countries may also recognize this fundamental right in constitutional law, ensuring global protection of the right to technology. Based on an overview of fundamental rights protection under the U.S. Constitution, the Article first discusses how the U.S. Supreme Court has developed a liberal approach to identifying fundamental rights not enumerated by the Constitution. It then applies this liberal approach to a consideration of why the right to technology should be deemed an un-enumerated fundamental right. This Article further canvasses how this new fundamental right would protect collective interests in technological benefits. It also explores how to resolve the potential tension between the Intellectual Property Clause and protection of the right to technology.
PENGARUH PENGGUNAAN HANDOUT TERHADAP HASIL BELAJAR FISIKA SISWA KELAS VIII SMP N 3 TUMIJAJAR

The selection of learning media must be considered several things, including the ease and use, handouts are learning media that are easy to make and use. This study aims to determine the effect of using handouts on the physics learning outcomes of grade VIII students of SMP Negeri 3 Tumijajar even semester. The research design used was Posttest-Only Control Design Design and the research instruments were observation sheets, questionnaire sheets and tests. The data analysis technique used is the calculation of the normality test, the homogeneity test, the two mean similarity test, and the two mean difference test. Research shows that the valuet of 3.49 was greater than ttable at 2.00 at significance level α = 5%, as well as the significance level α = 1%t is greater than ttable by 2.66. So the hypothesis which states that there is an effect of the use of handouts on the physics learning outcomes of grade VIII students of SMP N 3 Tumijajar even semester is accepted. The selection of learning media must be considered several things, including the ease and use, handouts are learning media that are easy to make and use. This study aims to determine the effect of using handouts on the physics learning outcomes of grade VIII students of SMP Negeri 3 Tumijajar even semester. The research design used was Posttest-Only Control Design Design and the research instruments were observation sheets, questionnaire sheets and tests. The data analysis technique used is the calculation of the normality test, the homogeneity test, the two mean similarity test, and the two mean difference test. Research shows that the valuet of 3.49 was greater than ttable at 2.00 at significance level α = 5%, as well as the significance level α = 1%t is greater than ttable by 2.66. So the hypothesis which states that there is an effect of the use of handouts on the physics learning outcomes of grade VIII students of SMP N 3 Tumijajar even semester is accepted.
LibGuides: Knowledge mobilization practices research study: Home

This page describes the results of the research study conducted by Meg Miller and Grace Romund on the knowledge mobilization practices of University of Manitoba researchers.
The typology of adjective linkage: Relating NPs to VPs: Supplemental material

The tall and heavy tree falls.' 'The tall and heavy tree falls.' 'Phillip is tall and heavy.'Bulgarian cervenata obla (i) caša Cašata e cervena i obla.red.DET round (and) cup cup.DET is red and round 'the red round cup' 'The cup is red and round.'
LibGuides: History B310/H509: Primary Resources

This guide is intended for students in the course British History Since 1688. It directs students to resources that are helpful for fulfilling the research requirements of the course and briefly discusses issues of database search construction and stra
Big Data Identity Recognition Based on Improved Residual Neural Networks

Recently, facial recognition technology has recently been widely developed and applied everywhere. Deep learning is one of the most exciting machine learning method which has many definitions. In these learning methods, convolutional neural networks have fewer connections and parameters than standard feedforward neural networks. As the convolutional neural network deepens, there is a phenomenon that the accuracy of the training set decreases. The residual neural network is proposed, which allows the network to be deepened as much as possible. In this paper, we propose a face recognition method based on a novel residual neural network, which randomly discarding certain parameters of some layers in Residual neural networks and increasing the width of the residual block during training. The method was trained and tested on a standard face classification recognition database and had good results on the closed subset.
SISTEM INFORMASI SURAT PERINTAH PERJALANAN DINAS PADA DINAS PERTENAKAN DAN KESEHATAN HEWAN

The research conducted by the author at the Acer Service Center (ACSC) Padang aims to find out the weaknesses of the demand for spare parts information systems at the Acer Service Center (ACSC) Padang. In inputting for requests for spare parts Customer Service and Admin still use Ms. Excel, so inputting requires a long time. This research was conducted by collecting data, direct observation, and computer laboratory research in designing programs and compiling reports using Dreamweaver CS4, Codeigniter and SQLyog as database managers. To overcome this problem, the author tries to build an analysis and design of a web-based spare parts demand information system at the Acer Service Center (ACSC) Padang. So the conclusion, with this new system will be able to provide accurate spare part information and can save time on spare parts requests made by the admin.
Weeding A Music Collection for the First Time: A Commonsense Approach

Music collections in academic libraries present a host of unique considerations when it comes to their management, particularly with regard to the weeding, or deselection, process. This article presents a case study in weeding the music collection of a medium-sized academic library. It outlines steps taken to carefully and efficiently reduce an overgrown collection using circulation statistics, and shows how unused library space provided in-house storage for less-circulated materials.
Disruptive technologies in the information sciences domain and their impacts to cybersecurity

Innovations in information sciences coming to fruition in 2021 and beyond are poised to redefine government, industry, and education as we know it today. This talk will focus on technologies that are poised to provide profound advancements in the information sciences domain as well as the implications of these technologies on computer security. Special emphasis will be placed on blockchain inspired architectures and distributed ledgers as well as Artificial Intelligence and Machine Learning (AI/ML) based solutions. The inherent vulnerabilities of these rapidly advancing technologies are of growing concern as investment is made into applying these tools to gain a strategic advantage in speed of response, analysis, and maneuver for both private industry and government applications.
CNN performance dependence on linear image processing

This work reports on convolutional neural network (CNN) performance on an image texture classification task as a function of linear image processing and number of training images. Detection performance of single and multi-layer CNNs (sCNN/mCNN) are compared to optimal observers. Performance is quantified by the area under the receiver operating characteristic (ROC) curve, also known as the AUC. For perfect detection AUC = 1.0 and AUC = 0.5 for guessing. The Ideal Observer (IO) maximizes AUC but is prohibitive in practice because it depends on high-dimensional image likelihoods. The IO performance is invariant to any fullrank, invertible linear image processing. This work demonstrates the existence of full-rank, invertible linear transforms that can degrade both sCNN and mCNN even in the limit of large quantities of training data. A subsequent invertible linear transform changes the images&#x2019; correlation structure again and can improve this AUC. Stationary textures sampled from zero mean and unequal covariance Gaussian distributions allow closed-form analytic expressions for the IO and optimal linear compression. Linear compression is a mitigation technique for high-dimension low sample size (HDLSS) applications. By definition, compression strictly decreases or maintains IO detection performance. For small quantities of training data, linear image compression prior to the sCNN architecture can increase AUC from 0.56 to 0.93. Results indicate an optimal compression ratio for CNN based on task difficulty, compression method, and number of training images.
The Impact of Mobile Technologies-integrated Cooperative Instruction Workshop for In-service Science Teachers

The purpose of this research is to see the effect of a mobile technologies-integrated cooperative instruction (MTICI) workshop for in-service science teachers upon teachers' perception and their students' understanding and satisfaction.The participants were 30 science teachers and 136 students.The research tools were as follows: 1) The MTICI workshop for in-service science teachers, 2) a teachers' self-assessment form on understanding about the MTICI 3) lesson plans focused on MTICI regarding the topic of rivers and water quality, 4) a test of students' understanding in the topic of rivers and water quality and the students' satisfaction questionnaire regarding the use of mobile technologies of the teacher.Frequency, percentage, mean and standard deviation were used for data analysis.The results showed that (1) the teachers who have participated in the workshop perceived the use of mobile technologies in the science classroom with the highest level of average understanding;(2) the students' post-understanding of the topic of rivers and water quality was significantly higher than their pre-learning counterpart understanding at the .05level of statistical significance; and (3) the students' overall satisfaction of the MTICI was at a high level.
Attaining global optimized solution by applying Q-learning

The assembly of modular construction projects depends primarily on the use of heavy capacity cranes. The increase in usage of heavy cranes is the impetus for the optimization of resources utilized for the crane work. One of the major cost drivers is the design optimization process of such resources. Even for an initial mechanical/structural design prior to a prototype, the design phase with finite element analysis (FEA) is time-consuming and extensive work. The greedy algorithm could be an answer to these problems to accomplish the optimization in short period of time. In some of the complex cases, the greedy algorithm can confine to the local optimum and thus, overlooking the global optimum. To avoid this, a model-free reinforcement learning (RL) algorithm, Q-learning, is employed in this study to evaluate its suitability for use in the design optimization process with the use of FEA. A hypothetical structural support design problem is used to formulate a framework for comparing the greedy algorithm and Q-learning. The findings show that not only can Q-learning overcome the local optimum confinement of the greedy algorithm, but it in fact can surpass the greedy algorithm along the progressive iteration, by refining policy and reward.
The Roles and Impacts of Greenery Club in Kolej Tuanku Canselor Universiti Teknologi Malaysia

Recently, interest in volunteerism focused on environmental sustainability has grown dramatically due to the alarming environmental issues such as global warming, foreign waste and greenhouse gases effects.A greenery club, namely Kelab Bumi Hijau (KBH) which consists of volunteering students led by Majlis Felow Kolej Tuanku Canselor (MFKTC), Universiti Teknologi Malaysia (UTM) has been set up in 2017 to monitor and improve the greenery particularly within Kolej Tuanku Canselor (KTC).Several activities have been carried out by KBH such as picking up litter, clearing unwanted shrubs and planting trees.This study is carried out to evaluate the relevance of KBH to the greenery of KTC.In addition, the challenges faced by KBH and their future plans are also highlighted.The results show that the greenery club namely KBH has not only enhanced the greenery and environment of KTC, but also cultivated volunteerism among the students.Although the data presented apply only to KTC, we believe that the volunteerism to sustain the greenery should be carried out in all residential college in UTM.
Relevance of Blockchain in the Global World

The academic and business community discusses the research avenues and practical implementations of blockchains continuously with the ongoing growth and implementation of blockchain technologies. The blockchain also has its advantages in the economy, manufacturing, medical and other industries. Most view Blockchain as a perturbing key technology. Although several academics have recognized the importance of blockchain, blockchain technology is still in its early stages. The latest academic literature on blockchain in industry and economics is therefore analyzed in this article. We identify the most high-quality articles, active countries and most popular keywords based on a comprehensive analysis of literature published on the Web of Science. In addition to that, the clustering analyses are carried out, and the following study areas has been identified: 'economic gain,' 'blockchain technology,' 'initial coin offerings’, 'fintech innovation’ and 'sharing economies’.