Reviewerly/exHarmony huggingface dataset:
A Precise Method for Modelling Service Systems using UML

The architecture of service systems enables business functionalities to be invoked over a remote network.This kind of systems is more and more developed nowadays.The modelling method for developing service-oriented solutions thus is required not only specifically but also precisely.Our work focuses on the method for modelling service systems having service-oriented architecture.Our approach is based on SoaML, a standard widespread notation introduced by OMG as a standard UML profile.In this paper, we propose a precise method for modelling the services and the service systems, named PreciseSoa, and illustrate the method using a case study.
Election Security and Large Counties

State election officials do a tremendous service overseeing and regulating elections in America. But when it comes to defending against cyber threats the work falls to the local election officials—over 8000 nationwide—who mostly control, secure, and run elections. They are on the front lines of this new battlefield. And they are the entities most in need of support and attention from state and federal, public and private partners.
KARAKTERISTIK IBU DAN POST NATAL TREATMENT (PNT) BERHUBUNGAN DENGAN TERJADINYA POSTPARTUM BLUES IBU NIFAS

This study aimed at examining the occurrence of postpartum blues in postpartum mothers. Post partum blues is categorized as a mild mental disorder syndrome for it is often ignored so that it is undiagnosed and not treated as it should, which finally leads to a difficult and unpleasant problem that may create feelings of discomfort for women who experience it. The study is intended to prevent the occurrence of Post partum blues in postpartum mothers. Post Partum Blues can be prevented by doing ANC and Post Natal Treatment routinely. Post Natal Treatment is a series of treatments performed specifically for postpartum mothers, which include massage, breast care, oxytocin massage, postpartum spa and full-blooded face. The research employed observational methods. The population of all puerperal mothers was 20 people, using total sampling. Data is obtained from primary data and secondary data, then the data is processed using SPSS 16 with chi square test. The conclusion of the value of p = 0.01 is that there is a relationship between the characteristics of postpartum mothers and PNT with the occurrence of postpartum blues. Age, education and occupation of postpartum mothers are associated with the insidence of postpartum blues. PNT that had been received by postpartum mothers was also related to the insidence of postpartum blues. Researcher's suggestion is for postpartum mothers to carry out ANC and PNT routinely to prevent the occurrence of post partum blues.
Stanford Ovshinsky and the Genesis of the Cognitive Computer [Scanning Our Past]

Stanford Ovshinsky (1922-2012) was a prolific independent inventor who ended up with more than 400 patents. 1 Many of his inventions were motivated by his strong social concerns.His commitment to replacing fossil fuels, which began before 1960 and continued to the end of his life, resulted in important alternative energy technologies, including a system for massproducing thin-film solar panels and the nickel metal hydride battery, still in use today.However, another dimension of his career now seems even more important: his contributions to areas of advanced information technology that are only now coming to fruition.The most remarkable of these, begun over 60 years ago, established the basis for creating a cognitive computer. This month's history article traces and highlights StanfordOvshinsky's contributions to advanced information technology that are only now coming to fruition. I. B R A I N S A N D C O M P U T E R SA computer that works like the human brain, whose operations are quite different from those of digital computers, has become a leading goal in current information research. 2In conventional computers, logical processors and 1 For an account of Ovshinsky's life and work, see L. Hoddeson and P. Garrett,
Early integration for movement modeling in latent spaces

research-article Early integration for movement modeling in latent spaces Share on Authors: Rachel Hornung View Profile , Nutan Chen View Profile , Patrick van der Smagt View Profile Authors Info & Claims The Handbook of Multimodal-Multisensor Interfaces: Language Processing, Software, Commercialization, and Emerging DirectionsJuly 2019 Pages 305–345https://doi.org/10.1145/3233795.3233805Published:01 July 2019 1citation93DownloadsMetricsTotal Citations1Total Downloads93Last 12 Months6Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Quantum key distribution protocol based on CSS error correcting codes

In the quantum key distribution (QKD) process, the presence of noise in the quantum channel reduces the efficiency of QKD with low transmission reliability. Quantum error correcting codes (QECCs) can weaken the impact of noise on the final result due to its flexibility in code length and rate selection. In this paper, QECCs is used to overcome the adverse effects of quantum channel noise, and a QKD protocol based on quantum CSS error correcting codes is proposed. Firstly, we construct the corresponding quantum CSS codes based on classical linear code, then modify and simplify some steps of BB84 protocol by using the characteristics of error correcting codes to design the new protocol. Through theoretical deduction, our QKD protocol based on quantum CSS codes improves the security of key transmission, and the confidentiality of transmission in the noisy quantum channel is also enhanced.
Smart Shoes With Adaptive Sampling for Outpatient Daily Health Monitoring

This paper proposes an adaptive sampling algorithm for a pair of smart shoes for patients to use as a daily health monitoring device. The main hardware of the smart shoes features four pneumatic pressure sensors that measure ground contact forces (GCFs) and a global positioning system (GPS) to track the location of the user. The sampling rate of the pressure sensors and the GPS are changed based on the activity, either walking or sitting, detected from the user’s GCFs. An outdoor test was conducted to validate the adaptive sampling algorithm. The result was a 95% reduction in data size compared to sampling with the highest settings from all components. Collected GPS information from a subject’s morning activities was displayed onto a map to demonstrate how it could be used as contextual data for daily monitoring.
Implementing Wait Time Innovation in Election Administration: The Case of the EVWait Times App

This case study looks into the evolution of a web-based tool for tracking wait times during an election. Drawing inspiration from the wait time tracking system at Walt Disney World, the Forsyth County Board of Elections implemented a wait time tracking application, called EVWait Times, for early voting in the 2016 general election. Using an ESRI (ArcGIS software platform) tool, the free web app provided (1) hours and location of early voting sites, (2) the wait times at the early voting sites, (3) information on finding the closest voting site, and (4) driving directions to the sites, which were all posted on a map display on the Forsyth County Board of Elections website. While the wait time tracking tool is primarily intended for quickly disseminating wait time information to voters, the secondary benefit is to use the information that was collected during this time to analyze the early voting traffic and determine which sites received more early voters than others. This information will allow our staff to make any improvements for future elections to better manage the voter turnout at the early voting sites.
Navigation Algorithms with LIDAR for Mobile Robots

For a robot that performs autonomously, the communication between the person and the robot is the most important factor.Significant awareness has been observed regarding the usage of such technology.This research has trivial involvement in the development of such robots.A robot that functions fully autonomously should not only complete the jobs that are desired of them but also somehow establish a connection between themselves and the person operating them.We propose a human detection method that uses only a single laser range scanner to detect the waist of the target person.The speed and acceleration of a robot are adaptive to the human-walking speed and the distance between the human and robot. Index Terms-human following
Lingual Investigation of President Soekarno Speech: A Report

The current research aims at investigating the most important speech of Soekarno and the ideologies behind the speech. Since Soekarno was the proclaimer of Indonesian independence as well as the first president of Indonesia, we would claim that his speeches were important to be investigated. Among the speeches, we tried to reveal the most important one through a lingual investigation. This investigation was based on grounded theory and hermeneutic theory. It was focused on the text as a part of the language. The results have shown that the most important speech of Soekarno is the speech entitled, ‘Tahun Berdikari’. It is viewed as a high novelty finding because there is no researcher who has ever claimed ‘Tahun Berdikari’ as the most important speech in the history of Indonesia. The speech contained three main ideologies, namely (1) unity as the most important thing for Indonesians, (2) revolution must be in the Indonesian soul, and (3) imperialism and capitalism as Indonesia’s main enemy.
Analysis of Genetic Algorithm for synthesis digital systems modeled in finite state machine

To achieve smaller digital systems, like microprocessors, controller, etc., it is require design them with a small area and the treats the power dissipation.These issues are important because can prolong the time of use of the equipment and reduce the manufacturing costs.To do so, digital circuits can be modeled as finite state machines with a large amount of states for most practical problems.To achieve a minimum result, you need to optimize a state assignment.Find a solution that meets these characteristics, i.e., find the optimal state assignments is a complex task, because it is an NP-Complete problem.Thus, this research analyzed the Genetic Algorithm to obtain an optimization in the state assignment in a reasonable time.The experiments showed good results, however, the adjusts of the parameters of GA must be investigated to find better results.
Preserving human mental health through control of pathogenic text in mass media by means of indexing and marking

Subject of this research paper is problem of pathogenic text as method for manipulating human consciousness and its dissemination through mass media, which due to their specific, make such manipulation most effective. Mass media have mastered metaphoric language, which can flawlessly influence readers’ imagination.&#x0D; We need to separately highlight our interest in text-based mass media (printed or blogs) versus audio-visual mass media (broadcast and digital), where flow of negative information seems to be magnitudes larger. In particular, paper touches specifics of written information perception.&#x0D; Paper describes different negative consequences of pathogenic information consumption for human mental health, such as: lack of creative activity, depression, ambivalence, development of adrenaline addiction, etc.&#x0D; In this paper, we analyze existing solutions of the problem of negative impact of pathogenic information, implemented in various countries and communities, substantiating their deficiencies in today’s realities, especially considering opposition to censorship and governmental limitations.&#x0D; We see resolution for the pathogenic text influence on human consciousness in person herself, in her self-awareness and ability to independently assess situation and make decisions. One of approaches to protecting society from pathogenic text without censorship, could be marking of pathogenic level of each specific article or publication. We also suggest not to limit markings to “pathogenic” or “non-pathogenic” labeling, but show percentage of text pathogenicity. By informing consumer of level of negative impact by particular text, we give him/her opportunity to decide about necessity or desire to read this text.&#x0D; We propose automatic classification method based on Bayesian filters (Himmelblau, 1970), (Yerazunis, 2003).&#x0D; &#x0D; Keywords: mental health, informational warfare, mass media, information, consciousness, influence, protection, text classification.
INTERAKSI PEMBELAJARAN MENULIS PARAGRAF DEDUKTIF PADA MAHASISWA FKIP UNIVERSITAS TRIDINANTI PALEMBANG

This research starts from the researchers’ observation that most students still haven't been able to write paragraphs correctly. During this time, students just write without regard to the concept of the right of the paragraph so that it causes a large number of errors in the writing of a paragraph especially deductive paragraph. This study aims to describe the interaction of the students with lecturers, students and lecturers. In addition, the study also aims to find out the factors that affect of the students in writing a deductive paragraph. Method of this research was using a combination of qualitative and quantitative. The collection of data in this study was conducted with the questionaire of enclosed, test the deductive paragraph writing performance, and useful observations. The questionqire closed spring results data would be presentation clearly; results of writing test data is described based on deductive paragraph writing assessment rubric by Oshima and Hogue (2006); data and observations are also useful is described clearly. Based on analysis of data researchers get results that 1) there were some factors which influence the students in writing deductive paragraph; 2) there were three learning interactions in writing deductive paragraph of students in FKIP Tridinanti University of Palembang.
Proof of Concept: Pressure Sensor for Tracking of Infant-Mother Kangaroo Care Durations

Over the past two decades, there has been more of an emphasis by practitioners for mothers to perform skin-to-skin holding, known as Kangaroo Care (KC) due to the many benefits, such as decreased illness early in life, increased breastmilk production, and decreased chance of long term obesity for mother and child. Kangaroo Care is difficult in the NICU due to the health of the child and mother and numerous leads, IVs or breathing tubes attached to the child. With these problems, it is hard for mothers to follow best practices for performing KC, namely holding for a minimum of one hour and first hold within 24 hours of birth. Not following best practices lessens the benefits of KC for mother and child. Tracking of the duration of KC is often not measured by anyone including hospital staff so whether best practices are followed is difficult to know. Also, mothers may not have clothing that facilitates KC and there are few wearables specifically designed for mothers wanting to perform KC in the NICU. This project focuses on one part of designing a wearable that facilitates mothers performing KC while their child is in the NICU. To understand the effectiveness of said wearable, measuring how long the mothers are performing KC is needed. To accomplish this, a pressure sensor, incorporating Carbon Nanotube Fabric (CNT), was constructed to measure changes in pressure to track the number and duration of KC holds. As for the sensor, when a pressure is first applied or removed, the resistance changes rapidly but remains relatively constant with constant pressure. The average time difference between manually recording time and the sensor measurement was 4.06 seconds for a single event, such as applying a pressure to the sensor, and 6.66 seconds for a double event, such as the duration between when the pressure was applied to when it was removed. These results show that the sensor is accurate enough to measure the duration of KC for any period of time it is performed.
Semantic data mining and linked data for a recommender system in the AEC industry

Even though it can provide design teams with valuable performance insights and enhance decision-making, monitored building data is rarely reused in an effective feedback loop from operation to design.Data mining allows users to obtain such insights from the large datasets generated throughout the building life cycle.Furthermore, semantic web technologies allow to formally represent the built environment and retrieve knowledge in response to domain-specific requirements.Both approaches have independently established themselves as powerful aids in decision-making.Combining them can enrich data mining processes with domain knowledge and facilitate knowledge discovery, representation and reuse.In this article, we look into the available data mining techniques and investigate to what extent they can be fused with semantic web technologies to provide recommendations to the end user in performance-oriented design.We demonstrate an initial implementation of a linked data-based system for generation of recommendations.
EXPLORING AND IDENTIFYING TECHNOLOGY-BASED DYNAMIC LEARNING THROUGH SOCIAL MEDIA IN ACADEMIC WRITING

Technology has been a new concept of learning in this digital era which brings positive response to students and lecturer. This current study focuses on the use of various social media that facilitate students to learn English. The aim of this research is to explore and to identify the use of Facebook in academic writing courses that perpetually developed to be a dynamic way of learning through a blended learning in terms of mobile learning. The 2nd semester students of 2017/2018 as the research subject who took Academic Paragraph Course. By utilizing mix-method through observation, documentation, questionnaire, and interview, this study explored and identified the language learning through social media. The result of the study was that the English learning especially academic writing could be categorized as a dynamic learning with exact rich connections in Facebook group account which was utilized both online and offline mode of learning with various learning models appropriate to the 21st century English learning where a dynamic interaction amongst lecturer and students happened by collaborating, communicating, thinking critically, and creating through self/peer assessment and a series of dynamic learning.
A quantum key distribution scheme based on quantum error-avoiding code in decoherence-free subspace

Countering channel noise is an urgent problem to achieve safe and efficient quantum communication. In order to solve this problem, a quantum key distribution (QKD) scheme based on quantum error-avoiding code (QEAC) in decoherence-free subspace (DFS) is proposed. Firstly, we use group theory to design a simple method for constructing QEAC based on the DFS, which is a better solution to overcome quantum channel noise. Secondly, the constructed QEAC is applied in the construction of the QKD scheme for error avoidance. The idea of QEAC for quantum key distribution can effectively overcome the noise in the channel without complicated systems. The proposed method of constructing a QKD scheme for quantum secure communication skillfully utilizes DFS for analysis and research, and improves the quantum bit efficiency and security of quantum key distribution.
Optimal pattern matching algorithms

We study a class of finite state machines, called w-matching machines, which allows to simulate the behavior of pattern matching algorithms while searching for a pattern w. They can be used to compute the asymptotic speed, i.e., the limit of the expected ratio of the number of text accesses to the length of the text, of algorithms while parsing an iid text to find the pattern w. Defining the order of a matching machine or of an algorithm as the maximum difference between the current and accessed positions during a search (standard algorithms are generally of order |w|−1), we show that given a pattern w, an order k and an iid model, there exists an optimal w-matching machine, i.e., with the greatest asymptotic speed under the model among all the machines of order k, of which the set of states belongs to a finite and enumerable set. It shows that it is possible to determine: (1) the greatest asymptotic speed among a large class of algorithms, with regard to a pattern and an iid model, and (2) a w-matching machine, thus an algorithm, achieving this speed.
High Dimensional Clustering with r-nets

Clustering, a fundamental task in data science and machine learning, groups a set of objects in such a way that objects in the same cluster are closer to each other than to those in other clusters. In this paper, we consider a well-known structure, so-called r-nets, which rigorously captures the properties of clustering. We devise algorithms that improve the runtime of approximating r-nets in high-dimensional spaces with1 and `2 metrics from, where . These algorithms are also used to improve a framework that provides approximate solutions to other high dimensional distance problems. Using this framework, several important related problems can also be solved efficiently, e.g.,pproximate kth-nearest neighbor distance-approximate Min-Max clustering,-approximate k-center clustering. In addition, we build an algorithm that-approximates greedy permutations in time O˜((dn+n2−α)·logΦ) where Φ is the spread of the input. This algorithm is used to -approximate k-center with the same time complexity.
Commentary: A Virtual-Reality, 360-Degree Fly-Through of an Arteriovenous Malformation Resection: 2-Dimensional Operative Video

Catapano, Joshua S MD; Cavalcanti, Daniel D MD, PhD; Fredrickson, Vance L MD, Author Information
Rapid Assessment of Petroleum Hydrocarbon Contamination in Soils: Spectroscopy Approach

Soil contamination with total petroleum hydrocarbons (TPH) as a result of crude oil exploration and exploitation activities is currently a major environmental challenge.This study proposed diffuse reflectance spectroscopy as a viable technique for rapid assessment of hydrocarbon contamination on oil spill sites in the Niger Delta, Nigeria.Spectroscopy approach was carried out in the laboratory for the prediction of TPH concentrations (mg kg -1 ) in genuine petroleum contaminated soils (fresh wet), as compared with analytically measured TPH concentrations.Very strong positive correlation (r = 0.9686) was achieved between analytically and spectroscopically-predicted TPH (mg kg -1 ).Actual and predicted absorbance (ABS act and ABS pred , respectively) values were determined and appear not to be consistent.However, very strong positive correlation appears when each of parameter was plotted against measured TPH concentration.Diffuse reflectance spectroscopy methodology was found to be as good as the labour-intensive and expensive traditional laboratory analysis of soil PHCs and could be an alternative for laboratory methods and as a viable field-screening tool to enhance risk decision making on-site.