Reviewerly/exHarmony huggingface dataset:
Walking Experience Under Equivalent Gravity Condition on Scale Conversion Telexistence

Scale conversion telexistence is an extended concept of telexistence. It comprises avatars of different scales compared with the human scale. Immersive telexistence experience requires the avatar to realize the operator's behavior instantaneously as soon as possible. It is important to match the avatar's behavior with the operator's behavior because the difference between the operator and the avatar tends to hurt the immersiveness. However, the scale difference between an operator with the avatar makes behavior mismatch and lets the operator experience under different physical constant world. For instance, gravity changes under scale conversion telexistence. Therefore, our previous work reveals its importance termed equivalent gravity condition for walking using a small biped robot. Thus, in this demonstration, we use a small biped robot as the different-scale avatar allow us to experience as if we are within the small robot. Attendees experience several steps walking under different gravity conditions.
Library Guides: MSU Library Services for Faculty: Research & Publication Support

Discover the services the library provides in research & publication, teaching & learning, and technology services.
From authentication to ‘Hanseatic governance’: Blockchain as organizational technology

Blockchain technology provides a distributed ledger and is based on a logic of peer to peer authentication. It gained prominence with the rise of cryptocurrencies but provides a much broader field of possible application, including – but not limited to – land and other registries, global trade systems. While it has been originally closely linked to a libertarian, anarchic agenda, recent developments of commercial applications have illustrated that it can been dissociated from a particular ideological framing. The purpose of our paper is to identify and classify core properties of blockchain as an organizational technology and related modes of blockchain governance. We do this by looking at a number of case studies which highlight a number of governance design issues as well as unintended effects of the technology and related design choices. We are exploring the linkages between blockchain application properties and related design options and choices.
Evaluation of OpenProject, OrangeScrum and ProjeQtor using QSOS Methodology

The market of project management tools is fruitful in Open Source solutions that are able to provide similar functionalities or even superior to those offered by commercial solutions. Many organizations using these tools deal with the problem of selecting the appropriate one, that corresponds to their requirements. Qualification and Selection of Open Source Software (QSOS) is a methodology designed to qualify, select and compare Open Source solutions in an objective and argued way, based in the functionalities and maturity of the software. This paper provides an evaluation of three Open Source Project Management tools: OpenProject, OrangeScrum, and ProjeQtor using QSOS methodology.
New ways of independent language learning in study abroad: How tech-savvy young people engage with language abroad

Slides from a presentation to CLaSIC 2018: The Eighth CLS International Conference on 8th December 2018.AbstractStudy abroad presents some of the most fascinating contexts for investigating language learning, since it provides vast and ongoing opportunities to engage with and ‘live in’ the target language. Moreover, participants are often required to seek out ways to develop their language ability independently and autonomously while negotiating unfamiliar social contexts and new ways of being. Drawing on an investigation of 100 Japanese high school students, this presentation will show how technology is now an essential element of language learning contexts abroad, connecting with participants’ imagined identities and enhancing their L2 social interaction, networking and autonomous learning. The investigation analysed surveys, interviews and social media data of a year-long program, covering 20 destination countries and 13 second languages in total. Critically, I will argue that the current ubiquity of mobile technology is providing individuals with increased autonomy and new possibilities in managing and pursuing their own learning.
RANCANG BANGUN SISTEM INFORMASI AKUNTANSI PENGGAJIAN KARYAWAN DAN GURU TETAP (STUDI PADA YAYASAN PENDIDIKAN YAMPI JAKARTA UTARA)

Payroll or salary management is a process of retaliating an organization's services to employees as a person who contributes to achieving organizational goals. The length of the process of making paychecks and reports can hinder the employee payroll process. The purpose of the research is to build a payroll information system that is useful to assist the activities of permanent employees and teachers of educational foundations with case studies at the Yapim Educational Foundation in the North Jakarta area. The method used in this study uses the Rational Unified Process methodology with inception, elaboration, and construction phases. The results of this study are system designs in the form of system design diagrams and payroll programs. This research is limited to the stage of construction on the software engineering methodology and testing using the blackbox testing method with the Yapim Education foundation in North Jakarta as a sample of data retrieval. This payroll information system can facilitate the management of payroll in educational foundations and this system can be used in all educational foundations by changing the profile of the organization in the system.
REITERATION USED ON DESCRIPTIVE TEXT OF THE TENTH GRADERS OF SMA N 1 MAGELANG IN THE SCHOOL YEAR OF 2018/2019

Based on Curriculum 2013, the tenth grade students of senior high school should learn how to write a descriptive text. In composing a descriptive text, they also need to consider the use of reiteration in order to easily write a text by varying the word choice, therefore the researcher focuses on reiteration used in students descriptive text. There are two objectives of the research. The first objective is to describe the types of reiteration. The second objective is to explain the most dominant type of reiteration in descriptive texts written by tenth graders. This research uses descriptive qualitative approach. The subject of the research is descriptive texts written by X IPA 5 Class of SMA N 1 Magelang in the school year 2018/2019. The data is analyzed by using Tanskanen’s Theory (2006). The steps of data analyzing are 1) identifying reiterated items from students’ descriptive texts, 2) analyzing the categories of reiteration, 3) classifying the types of reiteration and summing up the total of reiteration, 4) calculating the percentage of reiteration, and 5) concluding the results. The result of this research shows 311 reiterated items occured in 15 descriptive texts that have been analyzed. It presents all of reiteration types exist in the students’ descriptive text. Simple repetition becomes the most dominant type of reiteration that occurs 88 times spread to all of descriptive texts. The considerable factor is because simple repetition is the most straightforward reiteration type.
Improving the MXFT scheduling algorithm for a cloud computing context

In this paper, the Max-Min Fast Track (MXFT) scheduling algorithm is improved and compared against a selection of popular algorithms. The improved versions of MXFT are called Min-Min Max-Min Fast Track (MMMXFT) and Clustering Min-Min Max-Min Fast Track (CMMMXFT). The key difference is using Min-Min for the fast track. Experimentation revealed that despite Min-Min's characteristic of prioritising small tasks at the expense of overall makespan, the overall makespan was not adversely affected and the benefits of prioritising small tasks were identified in MMMXFT. Experiments were conducted by using a simulator with the exception of one real-world experiment. The real-world experiment identified challenges faced by algorithms which rely on accurate execution time prediction.
РАСПРЕДЕЛЕНИЕ ТЯЖЕЛЫХ МЕТАЛЛОВ И МЕТАЛЛОИДОВ В ПОЧВЕННЫХ КАТЕНАХ ГОРНОПРОМЫШЛЕННЫХ ЛАНДШАФТОВ НА ПРИМЕРЕ ЗАКАМЕНСКА (РОССИЯ) И ЭРДЭНЭТА (МОНГОЛИЯ)

Soil-geochemical surveys of 2011–2013 resulted in the determination of bulk contents of 16 heavy metals and metalloids (HMMs) of 1 to 3 hazard categories in urban and background catenas of the towns of Zakamensk and Erdenet. Geochemical structure of mining centers background catenas is governed by the high litho-geochemical heterogeneity of parent rocks. The highest concentrations of Ba, Sb, Cd, Mo, Zn, Cu, Ni, Co within the Dzhida and Erdenet ore clusters correlate with the underdeveloped mountain soils of autonomous landscapes. Ore fields exploitation sharply increases the lateral contrast of HMMs and results in the accumulation of chalcophile elements Mo, Bi, W, Sb, Cu, As, Cd, Pb and Sn in Zakamensk superaqual positions while Cu, Mo, Sb and As accumulate in Erdenet trans-accumulative positions. Recent erosion processes destroy tailing dumps, thus supporting the formation of artificial natural-anthropogenic sorption-sedimentological lateral geochemical barriers. The increased content of sand in Zakamensk and the input of silt in Erdenet result in the accumulation of ore elements (Mo, W and Cu) at the barriers in subordinate landscapes.
Facial Width and Inter-Pupillary Distance-A Useful Tool for Superimposition Technique

Craniofacial superimposition technique was used for identification, when a skull of a missing person isrecovered, by comparing with ante-mortem photographs or video. Parameters like inter-pupillary distanceand bizyomatic width/ facial width of the human face are used in the superimposition technique in orderto identify a missing person. The study was conducted to find out the mean facial width and mean interpupillarydistance separately in both males & females and correlation between these parameters. This studywas conducted in 100 healthy subjects (50 males & 50 females) in the age group of 19 to 22 years at theHimalayan Institute of Medical Sciences, Uttarakhand. Interpupillary distance (IPD) and facial width (FW)were measured by means of vernier callipers. The data was compiled and analyzed by computer softwareSPSS version 20. Among the females, descriptive analysis of quantitative data showed that the mean IPDwas 4.8272 ± .37395, mean FW was 12.4240 ± .69151 and Pearson Correlation coefficient was 0.168.Among the males, mean IPD was found out to be 5.9365 ± 0.37072, mean FW was 16.8290 ± 1.11108 andPearson Correlation coefficient was 0.216. The mean value of both, IPD and FW were higher in males ascompared to females.A weak correlation was found in both sexes and no statistically significant correlation was found in facewidth and Interpupillary distance in both males and females as the p value for male was 0.133 and for femaleit was 0.245.
The role of cryo-CMOS in quantum computers

Quantum computing holds the promise to solve intractable problems using processors that exploit quantum physics concepts, such as superposition and entanglement. The core of a quantum processor, generally an array of qubits, needs to be controlled and read out by a classical processor operating on the qubits with nanosecond latency, several millions of times per second.
&amp;lt;i&amp;gt;Digital Soil Mapping: Comparative Evaluation of Machine Learning and Geostatistical Modeling Methods&amp;lt;/i&amp;gt;

<b><sc>Abstract.</sc></b> <b>Field-scale soil maps form the backbone of Precision Agriculture, as correct and precise information about soil properties enable decision making for site-specific field operations such as variable-rate fertilization, management zone creation etc. Typically field soil maps are created by interpolating between point samples. This study compares Regression Forest, a Machine Learning (ML) algorithm, with Ordinary Kriging for the prediction of soil properties in an intensively sampled (@2samples/acre) farm located in east-central Indiana. A Digital Elevation Model (DEM) data at 1.52 m resolution was downloaded from OpenTopography‘s web portal and clipped to farm boundaries. The ML algorithm used high-resolution DEM derivatives (such as slope and curvatures at various neighborhood sizes) and maps of distances to known points as explanatory variables for creating a soil property prediction map. Another set of predicted soil property maps was obtained by interpolating the grid-sampled soils data using Ordinary Kriging. The predicted maps obtained from the ML and geostatistical methods were validated using a leave-one-out cross validation strategy. It was found that the ML algorithm outperformed geostatistical methods, however, further testing in other regions with variable topography is recommended before suggesting a widespread adoption.</b>
Medical Tumor Image Classification Algorithm and Its Application in Breast Cancer

Medical image classification of tumors plays an important role in the diagnosis and treatment of medical diseases. With the development of computer science and technology, medical imaging has made great progress in imaging, image acquisition speed is getting faster and faster, and image resolution is getting higher and higher. However, the interpretation of images mainly comes from imaging doctors. On the one hand, the quantity and quality of images greatly increase their burden. On the other hand, their interpretation of images mainly depends on the image characteristics that can be observed by the naked eye, which inevitably will be affected by subjective factors such as personal experience. Based on the clinical needs, this paper first uses image enhancement algorithm to extract image features, and then introduces medical tumor image classification. Finally, the paper elaborates the designed medical image classification network S-Dense Net. In this paper, the images are evaluated from subjective and objective aspects. The experimental results show that S-Dense Net has higher accuracy and AUC (Area under Curve) values than traditional algorithms including Logistic regression, LASSO logistic regression, SVM and random forest and based on Google Net, ResNet-51, and Squeeze Net network algorithms.
Depth Generation Network: Estimating Real World Depth from Stereo and Depth Images

In this work, we propose the Depth Generation Network (DGN) to address the problem of dense depth estimation by exploiting the variational method and the deep-learning technique. In particular, we focus on improving the feasibility of depth estimation under complex scenarios given stereo RGB images, where the stereo pairs and/or depth ground-truth captured by real sensors may be deteriorated; the stereo setting parameters may be unavailable or unreliable, hence hamper efforts to establish the correspondence between image pairs via supervision learning or epipolar geometric cues. Instead of relying on real data, we supervise the training of our model using synthetic depth maps generated by the simulator, which deliver complex scenes and reliable data with ease. Two non-trivial challenges, i.e., (i) attaining reasonable amount yet realistic samples for training, and (ii) developing a model that adapts to both synthetic and real scenes arise, whereas in this work we mainly deal with the later one yet leveraging state-of-the-art Falling Things (FAT) dataset to overcome the first. Experiments on FAT and KITTI datasets demonstrate that our model estimates relative dense depth in fine details, potentially generalizable to real scenes without knowing the stereo geometric and optic settings.
PEMODELAN ARSITEKTUR SISTEM INFORMASI PERHOTELAN DENGAN KERANGKA KERJA TOGAF ADM

The development of information technology towards the era of the internet of things require all aspects of life to implement and utilize information systems, one of those aspect is hotel management, to achieve its vision and mission. The tickle hotel is a two star hotel located in the middle of Yogyakarta city. Today the tickle hotel has implemented an information system to support its business processes, but the current information system has not been integrated with other division, so there are several problems. One of the problems is data stored separately and requires manual data transfer to collect all data, and obviously slower the staff performance. To resolve these problems, an integrated information system architecture is needed so that each division can be interconnected. To building an information system architecture, it requires a careful planning and based on company's business needs, because the development of information technology is a kind of investment that expected to provide appropriate results. This information system architecture modeling uses the TOGAF framework as a guide in compiling information system architecture. The results of this study are in the form of a blueprint for information systems portfolios that are in line with business needs and have been verified by the Tickle hotel IT manager and experts in the IT field. Keywords: TOGAF, Hotel, Information System Architecture, Enterprise Architecture
SmartGuide : Thor, the assistant of the future

This project aims to add an AR/VR extension to the SmartGuide app in the form of a chatbot. Users of the app are able to verbally interact with the chatbot and make a booking request for a trip with a tour guide.
Setting Up the Python Environment

In this chapter we will check to see if you have Python installed on your computer. If you do not have Python installed we will step through the process of installing Python. This is necessary because when you run a Python program it looks for the python interpreter that is used to execute your program or script. Without the python interpreter installed on your machine Python programs are just text files!
Rapid 3D Avatar Creation System Using a Single Depth Camera

We present a rapid and fully automatic 3D avatar creation system that can produce personalized 3D avatars within two minutes using a single depth camera and a motorized turntable. The created 3D avatar is able to make all the details of facial expressions and whole body motions including fingers. To our best knowledge, it is the first completely automatic system that can generate realistic 3D avatars in the common 3D file format, which is ready for the direct use in virtual reality applications or various services.
Interdisciplinary Approach to Cyber-physical Systems Training

In this paper, the authors examine the importance of a transdisciplinary approach to cyber-physical systems training. The article concludes that it is necessary to introduce new educational models that will contribute to the formation of innovative thinking of master students. The use of a multidisciplinary approach in the training of master students is substantiated, and a combined scheme of interdisciplinary and multidisciplinary methods is proposed on the example of the disciplines Cyber-physical systems and technologies. Specialization lies in the fact that not only the available baggage knowledge, but also ways to find their knowledge in a new application, including in non-standard conditions, readiness for self-development and improvement information. The ability of the current educational model to meet the requirements has been established.
Quantum simulation of molecular vibronic spectra on a superconducting bosonic processor

The efficient simulation of quantum systems is a primary motivating factor for developing controllable quantum machines. For addressing systems with underlying bosonic structure, it is advantageous to utilize a naturally bosonic platform. Optical photons passing through linear networks may be configured to perform quantum simulation tasks, but the efficient preparation and detection of multiphoton quantum states of light in linear optical systems are challenging. Here, we experimentally implement a boson sampling protocol for simulating molecular vibronic spectra [Nature Photonics $\textbf{9}$, 615 (2015)] in a two-mode superconducting device. In addition to enacting the requisite set of Gaussian operations across both modes, we fulfill the scalability requirement by demonstrating, for the first time in any platform, a high-fidelity single-shot photon number resolving detection scheme capable of resolving up to 15 photons per mode. Furthermore, we exercise the capability of synthesizing non-Gaussian input states to simulate spectra of molecular ensembles in vibrational excited states. We show the re-programmability of our implementation by extracting the spectra of photoelectron processes in H$_2$O, O$_3$, NO$_2$, and SO$_2$. The capabilities highlighted in this work establish the superconducting architecture as a promising platform for bosonic simulations, and by combining them with tools such as Kerr interactions and engineered dissipation, enable the simulation of a wider class of bosonic systems.
Influence of Social Media on Library Service Delivery to Students in University of Medical Sciences, Ondo City, Nigeria

Abstract This article is on influence of social media on library service delivery to students in University of Medical Sciences, Ondo City, Nigeria. Librarians, in this digital age, are responsible for a wide variety of resources and services that expand far beyond the typical eight-hour work day. Promotion in library and information science has a newer meaning. It finds deep roots in social media. It is a set of techniques which is aimed at reinforcing the basic values of the library in a changing environment at the same time meeting the needs of the library clientele. Essentially, promotion is the means of informing users on what you do and what you can do. The benefits for those who promote their library services and resources include: increased usage, increased value in the organization, education of users and changed perceptions the study was carried out within a period of five months (September 2018 to February 2019) when the university was in session. Survey research design was used for the study. A „purposive sampling technique‟ was used to select the registered students with the library. The population of this study was made up of 846 students from 200 level to 400 level student. Some findings showed that Facebook is the most social media/networking tools students using to communicate with their friends and follow by Twitter and YouTube. Majority (86 %) respondents agreed that social media provide quick feedback from library, library tours and promotes services; cost low while 14 % respondents disagreed. Also, 76 % of the respondents agreed that Social media has the potential to communicate and send out information to the library users while 24 % of the respondents are of a contrary view. Keywords: Libraries, Social Media, Services, Utilization, and Students.
BARRACK OBAMA’S IDEOLOGIES IN HIS CAMPAIGN SPEECH AT COLORADO STATE UNIVERSITY

In finding the ideologies, the researcher uses CDA (Critical Discourse Analysis) as a tool. By using this way, three main steps were applied; these are text analysis, discourse practice, and socio-cultural practice. It found that in text analysis, there are 21 repetitions spoken by Obama in his campaign speech, 2 synonymies, 7 hyponymy, 4 metonymies, and 6 antonyms. In the level of discourse practice, in opening, it was found that there are three main regularities in speech; these are phatic expressions, emotive function, and thanking. In content, the regularities are the use of jargon, poetic expressions and directive expressions. And in closing, the regularities are sequenced first by uttering the supportive utterance, poetic expressions, and farewell greeting. The last step, socio-cultural practice, it is found that there are 9 direct responses, applause for 77 times, laughter for 12 times, and last response by sneezing appears for once. Going through those steps, the researcher can take three dominant ideologies uttered by Obama; they are “Forwarding United State is needed”, “No choice except choosing Obama”, and “Raising tax is improper to raise citizen’s prosperity”.