Reviewerly/exHarmony huggingface dataset:
A Comparison of Stairs and Escalators in Virtual Reality

In this poster we present an in-progress study to compare the usage of simulated escalators with simulated stairs within a virtual reality (VR) environment. We found no existing research that examines the usage of escalators in VR. Past research into virtual stairs has examined how to better simulate stairs in a virtual environment (VE) by using external tools to allow an individual to more closely match real world movements. With virtual stairs, the user moves forward horizontally while the virtual avatar moves horizontally and vertically. With escalators, the user may stand in place to move the same distance within the virtual space, while also closely mimicking the movements they would make on an actual escalator without requiring additional tools. This experiment will test if the advantage of escalators requiring less real-world movement is offset by other factors, such as nausea, general discomfort, and the presence of the participant during the simulation.
ANALISIS LAHAN KRITIS DAN ARAHAN LAHAN DALAM PENGEMBANGAN WILAYAH PADA SUBDAS DI KABUPATEN KAYONG UTARA MENGGUNAKAN TEKNIK PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFIS

Critical land is a damaged land, thus losing or decreasing its function to the specified or expected limits. The identification and critical lands mapping is essential for the planning and determination of priority watersheds in order to the utilization and development of natural resources and land rehabilitation and soil conservation. Remote sensing is a technique that enable people to collect data without direct field measurement. The using of Landsat 8 image then analyzed by using Geographic Information System (GIS) is being expected to improve the ability to classify land cover, the map was then overlad with parameter map based on Regulation of Director General of Management of Watershed and Social Forestry Number P. 4 / V-Set / 2013 about technical guidance on the preparation of spatial data of other critical lands to identify critical lands in Kayong Utara Regency.Keywords: Degraded land, Geographic Information System (GIS), Remote sensing, overlay
The Effect of Reinforcement toward Students' Speaking Ability

This Experimental Research was conducted to find out whether reinforcement can improve the students’ speaking ability or not. The population of the research was the tenth grade students of SMAN 7 Bengkulu. The simple random sampling of the research was taken X MIPA 1 as the Experimental Group. The collection data used pre-test and post-test to see the changes of the students’ speaking score. T-test used to see the significant difference between both tests. The treatment is given to the students a set of praises as feedback in every students oral response. After doing 6 times of treatment on Experimental Group, the result indicates that reinforcement affected students speaking ability significantly. It was found that -Tcount was -18,351and -Ttable was -2,060. It means that -Ttable score was greater than -Tcount. It could be concluded that the experiment was successful because of reinforcement can improve the students’ speaking ability.
Development of Cosmetology Course Model as Curriculum for General Education: Focusing on the use of Organization of the NCS-based Training Course

This study attempted to develop a cosmetology course model for general education through which college students with interest in appearance management are able to learn how to care well for their looks. The course model was designed based on the curriculum flowchart, using the NCS learning module according to the course-organizing method proposed by the Ministry of Employment and Labor. The training program was divided into four courses: hairdressing, aesthetics, makeup and nail care. The details are as follows: In hairdressing, the straight or C-curl volume style can be created. In aesthetics, facial mask, facial keratin care and eyebrow care programs are available. In makeup, students learn base makeup, eyebrow makeup, eye makeup and lip & cheek makeup. In nail care, nail coloring skills (e.g., full coat, French, deep French, graduation, etc.) in addition to basic nail care techniques (e.g., free edge design and cuticle trimming, etc.) are offered. This study proposed a curriculum development model and courses for general education through which college students are able to receive cosmetology education in a systematic manner. As a result, it is anticipated that they will take general cosmetology courses as a practical study and learn how to manage their appearance, which would in turn help them build confidence as well as enhance their interpersonal relationships and psychological satisfaction.
The Challenges and Difficulties in Teaching Listening: An Exploratory Research in a Junior High School in Kudus

The objectives of this study are describing the process of teaching English (listening) and identifying the difficulties in teaching (English) listening in a Junior High School in Kudus. This research uses exploratory research design. I will explore qualitative data to analyze the process of the teaching and learning English in Kudus and to identify the need of the learning materials. The subjects of the research are five English teachers’ from a Junior High school in Kudus, they have been teaching English for more than ten years. They have been teaching from different classes, class 7, class 8, and class 9. This study has discovered the challenges and difficulties in learning and teaching in Junior High School in kudus. Most teachers feels that time management become their major challenge in organizing classroom. They have set lesson plan, but sometimes the lesson does not work exactly the same. They have to work with mixed-level students, with students with learning difficulties, and with learners who are coming from different backgrounds. Teachers should be aware that it is part of teachers’ primary duty to cope with every student. Most students can learn a foreign language to some level, but there are many reasons why their improvements are not achieved significantly.
Constructing curvelet-like bases and low-redundancy frames

We provide a detailed analysis of the obstruction (studied first by S. Durand and later by R. Yin and one of us) in the construction of multidirectional wavelet orthonormal bases corresponding to any admissible frequency partition in the framework of subband filtering with non-uniform subsampling. To contextualize our analysis, we build, in particular, multidirectional alias-free hexagonal wavelet bases and low-redundancy frames with optimal spatial decay. In addition, we show that a 2D cutting lemma can be used to subdivide the obtained wavelet systems in higher frequency rings so as to generate bases or frames that satisfy the ``parabolic scaling'' law enjoyed by curvelets and shearlets. Numerical experiments on high bit-rate image compression are conducted to illustrate the potential of the proposed systems.
Communication over Continuous Quantum Secure Dialogue using Einstein-Podolsky-Rosen States

With the emergence of quantum computing and quantum networks, many communication protocols that take advantage of the unique properties of quantum mechanics to achieve a secure bidirectional exchange of information, have been proposed. In this study, we propose a new quantum communication protocol, called Continuous Quantum Secure Dialogue (CQSD), that allows two parties to continuously exchange messages without halting while ensuring the privacy of the conversation. Compared to existing protocols, CQSD improves the efficiency of quantum communication. In addition, we offer an implementation of the CQSD protocol using the Qiskit framework. Finally, we conduct a security analysis of the CQSD protocol in the context of several common forms of attack.
Object tracking based on spatial attention mechanism

Aiming at the failure of existing hierarchical convolutional features for visual tracking algorithm in complex environments, an object tracking algorithm based on spatial attention mechanism is proposed. According to the color histogram of the current frame, the spatial attention mechanism is established based on the Bayesian classifier. After extracting the features of the conv3-4, conv4-4, and conv5-4 layers in VGGNet19, the spatial attention map is fused with convolutional features respectively to construct a more robust target apparent model. The response is obtained by using the correlation filter, and the final response is achieved by the weighted summation criterion. The experimental results show that the tracking accuracy and robustness of the proposed algorithm are better than the existing state-of-the-art tracking algorithms in most complex environments.
Real time three-dimensional shape measurement with phase-to-height lookup table

Phase-to-height mapping is indispensable part of three-dimensional (3D) shape measurement system based on phase analysis, which guarantees the accuracy of 3D reconstruction. In this paper, a real time 3D shape reconstruction method based on dual-frequency composite grating projection and phase-height lookup table is proposed. In this method, a reference plane is moved with a known interval along the measurement depth direction to establish a mapping lookup table between the wrapped phase of dual-frequency composite grating and the corresponding spatial height pixel by pixel respectively. The actual experimental results show that the reconstruction accuracy of this method is better than that of the traditional phase-to-height quadratic fitting method. Finally, combining the high performance parallel computation of GPU, the real time 3D shape reconstruction with the speed of 60 fps and the resolution of 1152*800 pixels is realized.
Identifying Relationships of Interest in Complex Environments by Using Channel Theory

Complex environments show a high degree of dynamics caused by vital interactions between objects within those environments and alterations through which the set of objects and their characteristics within those environments go over time. Within this work, we show that we can tame the level of complexity in dynamic environments by identifying ‘relationships of interest’ between objects in such environments. To this end, we apply the theory of Information Flow, also known as Channel Theory, to the application area of smart manufacturing. We enhance the way how the Channel Theory has been applied so far by using an iterative approach for finding out relationships between product specifications and production capabilities. By introducing this iterative approach, we show that the Channel Theory can also be applied successfully in complex environments, which has not been reported in the literature so far.
CDAG: A Serialized blockDAG for Permissioned Blockchain

Blockchain is maintained as a global log between a network of nodes and uses cryptographic distributed protocols to synchronize the updates. As adopted by Bitcoin and Ethereum these update operations to the ledger are serialized, and executed in batches. To safeguard the system against the generation of conflicting sets of updates and maintain the consistency of the ledger, the frequency of the updates is controlled, which severely affects the performance of the system. This paper presents Converging Directed Acyclic Graph (CDAG), as a substitute for the chain and DAG structures used in other blockchain protocols. CDAG allows multiple parallel updates to the ledger and converges them at the next step providing finality to the blocks. It partitions the updates into non-intersecting buckets of transactions to prevent the generation of conflicting blocks and divide the time into slots to provide enough time for them to propagate in the network. Multiple simultaneous updates improve the throughput of CDAG, and the converging step helps to finalize them faster, even in the presence of conflicts. Moreover, CDAG provides a total order among the blocks of the ledger to support smart contracts, unlike some of the other blockDAG protocols. We evaluate the performance of CDAG on Google Cloud Platform using Google Kubernetes Engine, simulating a real-time network. Experimental results show that CDAG achieves a throughput of more than 2000 transactions per second and confirms them well in under 2 minutes. Also, the protocol scales well in comparison to other permissioned protocols, and the capacity of the network only limits the performance.
Influence of Emoticons on the Emotions of Writers based on their Tweets

In this paper, we investigated how readers perceive the emotions of writers based on the emoticons in their tweets, and clarified the influence of emoticons on emotions. Initially, we conducted a questionnaire and the emotions associated with tweets (with and without emoticons) and the emotions associated with the emoticons were quantified. Multiple regression analysis was then applied to three types of emotion data, and relationships among them were established in the form of regression equations. Finally, the accuracy of the regression equations was estimated for learned and unlearned data, and their effectiveness and robustness were evaluated. The following 10 types of basic emotions were utilized as targets: “Sadness,” “Dislike,” “Relief,” “Fear,” “Excitement,” “Liking,” “Joy,” “Surprise,” “Anger,” and “Shame.”
Adaptive Clustering via Symmetric Nonnegative Matrix Factorization of the Similarity Matrix

The problem of clustering, that is, the partitioning of data into groups of similar objects, is a key step for many data-mining problems. The algorithm we propose for clustering is based on the symmetric nonnegative matrix factorization (SymNMF) of a similarity matrix. The algorithm is first presented for the case of a prescribed number k of clusters, then it is extended to the case of a not a priori given k. A heuristic approach improving the standard multistart strategy is proposed and validated by the experimentation.
EAVI EMG board

[First paragraph] Electromyography (EMG) has been widely adopted to build new interfaces for musical expression by the community [10,4]. Muscular activity is inherently noisy, making EMG signals potentially difficult to map to audio parameters, and work with when designing interactions with audiovisual systems. For decades, musicians and technologists have explored different solutions – from costly medical devices to do-it-yourself (DIY)packages – to find reliable hardware for capturing the best EMG signal in order to facilitate the music and instrument making process.
Developing Empirical Models for Estimating Photo synthetically Active Radiation overAkure, South Western, Nigeria

In this study, the measured monthly average daily global solar radiation and extraterrestrial solar radiation using the generalized 45% and 40% dataset was utilized to estimate the photosynthetically active radiation (PAR) and extraterrestrial photosynthetically active radiation (PAR0) for Akure (Latitude&nbsp;7.170N, Longitude 5.180E, and 375.0 m above sea level) Ondo State located in South Western, Nigeria. The monthly average daily sunshine hours, maximum and minimum temperature data were used to develop nine (9) new PAR sunshine based models and three (3) PAR temperature-based models. The meteorological parameters used in this study covered a period of thirty-one years (1980 – 2010). The newly developed models were tested using statistical indicators of the&nbsp;coefficient of determination (R2),&nbsp;Mean Bias Error (MBE), Root Mean Square Error (RMSE), Mean Percentage Error (MPE), t-test, Nash – Sutcliffe Equation (NSE) and Index of Agreement (IA). The PAR sunshine based models that took a quadratic form and the linear logarithmic PAR temperature-based models were found more suitable for estimating PAR for the location under study. Comparing the PAR sunshine based and temperature-based models indicated that the PAR sunshine based model is more suitable for PAR estimation in Akure. Furthermore, the results showed that PAR is high during the dry season and low during the rainy season. Based on the measured and estimated PAR models; the minimum values were found in July and August while the maximum values in February, March and November. The descriptive statistical analysis shows that the PAR and all the estimated sunshine based PAR data spread out more to the left of their mean value (negatively skewed). Similarly, they have negative kurtosis which indicates a relatively flat distribution and the possibility of platykurtic distribution. The PAR and the PAR logarithmic temperature-based model (equation 17a) data spread out more to the left of their mean value (negatively skewed), while the PAR linear exponent and linear temperature-based models (equation 17b and 17c) data spread out more to the right of their mean value (positively skewed). The PAR and all the estimated PAR temperature-based data have negative kurtosis which indicates a relatively flat distribution and the possibility of platykurtic distribution.
Comment on Riddle et al. <i>Diabetes Care</i> Editors’ Expert Forum 2018: Managing Big Data for Diabetes Research and Care. Diabetes Care 2019;42:1136–1146

We commend Riddle et al. (1) for reviewing the potential and challenges of big data in modern health care, given its transformational power in predicting and improving care and outcomes. It is important, however, to recognize additional and evolving data sources as well as the equitable application of big data analytics.The meeting report focuses on three major sources of big data: the electronic medical record, national surveys and registries, and clinical trial databases. There …
Robust Planning and Control For Polygonal Environments via Linear Programming

We propose a novel approach for navigating in polygonal environments by synthesizing controllers that take as input relative displacement measurements with respect to a set of landmarks. Our algorithm is based on solving a sequence of robust min-max Linear Programming problems on the elements of a cell decomposition of the environment. The optimization problems are formulated using linear Control Lyapunov Function (CLF) and Control Barrier Function (CBF) constraints, to provide stability and safety guarantees, respectively. The inner maximization problem ensures that these constraints are met by all the points in each cell, while the outer minimization problem balances the different constraints in a robust way. We show that the min-max optimization problems can be solved efficiently by transforming it into regular linear programming via the dualization of the inner maximization problem. We test our algorithm to agents with first and second-order integrator dynamics, although our approach is in principle applicable to any system with piecewise linear dynamics. Through our theoretical results and simulations, we show that the resulting controllers: are optimal (with respect to the criterion used in the formulation), are applicable to linear systems of any order, are robust to changes to the start location (since they do not rely on a single nominal path), and to significant deformations of the environment.
ESTONIAN ITEMS IN THE INTERNET DISCOURSE OF THE RUSSIAN SPEAKING POPULATION OF ESTONIA

The Estonian influence on the discourse of the Russian speaking population of Estonia has drawn the attention of many researchers. The insertion of elements of Estonian in the discourse of Russian speakers is analysed and systematised from different points of view. Research has been conducted on formal aspects of code switching and on more pragmatic language aspects on the basics of different material (e.g. spoken language, jargons and dialects, advertisements, journalistic texts). However, the influence of the Estonian language in the discourse of Russian speaking groups of Estonia has not been fully studied, especially with internet sources, which can give an idea of the currently relevant processes of spoken language. This paper is part of a larger research project in which we plan to compare the functions of foreign language items in the internet discourse of the Russian speaking population of Italy and Estonia. In this paper, however, the main focus is on the lexical content of Estonian insertions in the internet discourse of the Russian speaking population of Estonia and on two of its main functions. Namely, the identifying reference function and the figurative speech function. Data was collected from different forums and Facebook groups. The analysis of the collected material shows that the insertion of Estonian items occurs very frequently when the communicants discuss bureaucratic-administrative spheres, space, and time. Those Estonian insertions are very often used in order to clearly identify the object of their conversation. Longer insertions are often used within the figurative speech function, which conveys the characteristics of the speech, of the speaker and the evaluative characteristics. The study of the influence of the Estonian language on the internet discourse of the Russian speaking population of Estonia in the future will allow a deeper understanding of formal and functional aspects of the Estonian language, such as the morphological and syntactic features of the language and the semantic and pragmatic meaning of certain Estonian words and particles. Furthermore, this research will contribute to the study of the problems connected with language contacts.
The NAI Suite -- Drafting and Reasoning over Legal Texts

A prototype for automated reasoning over legal texts, called NAI, is presented. As an input, NAI accepts formalized logical representations of such legal texts that can be created and curated using an integrated annotation interface. The prototype supports automated reasoning over the given text representation and multiple quality assurance procedures. The pragmatics of the NAI suite as well its feasibility in practical applications is studied on a fragment of the Smoking Prohibition (Children in Motor Vehicles) (Scotland) Act 2016 of the Scottish Parliament.
Change in Information Professionals’ Satisfaction with Discovery Services

Discovery services provide a one-box search engine, consolidating library content with a centralized index. In 2015, the authors surveyed hospital librarians regarding the purchase, implementation and maintenance, and information professionals’ satisfaction with discovery services. In 41% of the cases, librarians had purchased a discovery tool, and 58% of those respondents said they were satisfied with their product. The information professionals who decided against a purchase cited the cost, insufficient user benefit, overwhelming retrieval, lack of staff, and unfamiliarity with discovery tools. In 2018, the authors replicated the study to determine if information professionals’ attitudes toward discovery services had changed. The later survey showed a significant change in librarians’ attitudes in favor of discovery tools, as 92% had purchase plans. Of those who implemented a discovery service, 73% expressed their satisfaction with discovery products.