Reviewerly/exHarmony huggingface dataset:
Geologic map of Petroglyph National Monument and vicinity, Bernalillo County, New Mexico

First posted March 19, 2020 For additional information, contact: Center Director, Geosciences and Environmental Change Science CenterU.S. Geological SurveyBox 25046, Mail Stop 980Denver, CO 80225 This geologic map depicts and briefly describes geologic units underlying Petroglyph National Monument and immediately adjacent areas in Bernalillo County, New Mexico. The Monument is underlain dominantly by Quaternary basalts of the Albuquerque Volcanoes volcanic field, a series of basin-filling volcanic flows and associated vents from a monogenetic volcanic highland along the eastern margin of the Llano de Albuquerque. This compilation builds on data of previously published geologic maps and reports but includes new interpretive synthesis of volcanic stratigraphy and a unified representation of Quaternary surficial deposits overlying volcanic deposits within the Monument and areas immediately adjacent. This geologic map emphasizes the distribution of Quaternary volcanic vent areas and lava flow deposits which were incompletely mapped on previous publications. Surficial deposits are simplified, but uniformly mapped and described in contrast to varying map unit distributions, names and descriptions presented in the references above. Underlying deposits of the upper Santa Fe Group are exposed in the western part of the map area and described briefly.North-trending, syn- and post-eruption faulting is well preserved in the volcanic field and reflected in the subsurface models of aeromagnetic data. These faults are dominated by dip-slip displacement and are interpreted as extensional faults of the central Albuquerque Basin of the northern Rio Grande rift. Elongate distribution of vents for most of the volcanic deposits are spatially associated with the easternmost of these faults and are interpreted to reflect eruptions from fissures paralleling the regional extensional fault trends of the rift.
A study on the topic coherence Function of Korean discourse markers - Focusing on starting a topic function.

This study aims to categorize ‘topic coherence function’ of Korean discourse markers and analyze ‘starting a topic function’. First, the study analyzes the functions of discourse markers from the perspective of ‘discourse coherence’ and analyzes their functions to classify them into seven types of coherence layers. The topic coherence function was further divided into ‘macroscopic coherence of topic’ including starting a topic, changing a topic, and returning to a topic and ‘microscopic coherence of topic’ including ‘filling the gap,’ ‘modifying the articulation,’ and ‘listing.’ Then discourse markers provided according to the functions and the usage of each function have been analyzed. A list of discourse markers by function is provided. The significance of the present study comes from systematically classifying the topic coherence functions of discourse markers that have been sporadically suggested and providing a list of discourse markers for Starting a topic function from the perspective of teaching Korean as a foreign language. The results of the present study can be utilized as fundamental data in selecting discourse markers as a lesson and in composing a syllabus.
Design of GIS Intelligent Navigation Information Control System for Micro Air Vehicle

The traditional control system cannot determine the specific location of the transmission error of navigation information, the implementation process is complex, and the information sequence needs to be fed back to the source, resulting in reduced transmission efficiency and high delay of navigation information, so that the control effect is unsatisfactory. To this end, a GIS intelligent navigation information control system for micro air vehicle (MAV) is proposed. The BER calculation equation is designed and the principle of turbo encoder is analysed. The pseudo-random sequence is used to process the intelligent navigation information of the MAV to form an intelligent navigation information sequence. Without feedback to the source, the output information sequence can be dispersed due to the error code of sudden interference. Through the MAP method, the absolute value of the posterior probability ratio is regarded as the soft decision output, the code is used to obtain the error position and the transmission error of the intelligent navigation information is controlled, so that the design of the GIS intelligent navigation information control system for MAV is completed. The experimental results show that the improved system can better control the transmission error of navigation information, and the control effect is very satisfactory.
A Study On The Effect Of Television Cartoons On Children

Now a days cartoon has become the most important entertainment for children. 80% ofpopulations say that children’s enjoy watching cartoon every day. Thus, it is more important toanalyze the content that is been provided in the cartoon. Children’s tries to imitate their favoritecartoon character by performing the stunts, which the character performs, by using thecharacter’s language and so on. 57% of children most often try to imitate their favorite cartoon.Cartoons also serve as an information tool at some cases. Moreover, they tend to provokeviolence among the children. About 43% of children are provoked by the violent contentprovided in the cartoons.
Decoding the performance in an out-of-context problem during blocked practice

To master a skill, students generally practice the content of the skill in a blocking manner. While practicing in a blocked fashion, students know the context of the problems and also which strategy is needed to arrive at a solution. However, in real life standardized tests, where problems from various skills are grouped together, students often find it challenging to identify the correct strategy to solve the problems. This is because, during learning, students often practice the content in isolation. It hinders their ability to discriminate among the contexts of the problem. In this work, using tutor funtoot, we present students working on the topic Addition Word Problems with a subtraction word problem and investigate how they perform in the out-of-context subtraction word problem. We find that students' performance in the topic Addition Word Problems is a strong predictor of their performance in this out-of-context problem. Our results suggest that it is a stronger predictor for higher grades (4th and 5th) compared to the lower (2nd and 3rd) grades.
Foreword to the Special Section on the 8th ACM/EG Expressive symposium (Expressive 2019)

• Real-world technical challenges for expressive rendering in VR animation. • Combining neural style transfer with patch based synthesis for improved details. • Improved efficiency of neural style transfer through adversarial training.
The Present & Future Scope of RWE Research in Diabetes: What Questions Can and Can’t Be Answered and What Might be Possible in the Future?

The last decade has witnessed an exponential growth in the opportunities to collect and link health-related data from multiple resources, including primary care, administrative, and device data. The availability of these “real-world”, “big data” has fuelled also an intense methodological research into methods to handle them and extract actionable information. In medicine, the evidence generated from “real-world data” (RWD), which are not purposely collected to answer biomedical questions, is commonly termed “real-world evidence” (RWE). In this review, we focus on RWD and RWE in the area of diabetes research, highlighting their contributions in the last decade; and give some suggestions for future RWE diabetes research, by applying well-established and less-known tools to direct RWE diabetes research towards better personalised approaches to diabetes care. We underline the essential aspects to consider when using RWD and the key features limiting the translational potential of RWD in generating high-quality and applicable RWE. Only if viewed in the context of other study designs and statistical methods, with its pros and cons carefully considered, RWE will exploit its full potential as a complementary or even, in some cases, substitutive source of evidence compared to the expensive evidence obtained from randomised controlled trials.
FRecS -Financial Recommender System

People invest their income in different schemes and funds for future use and to fulfill their daily requirements. In today's fast-paced life, recommender systems are gaining a lot of attention because they can assist people in finding information about a product that they like. In the literature, no system till date is available for suggesting people how to save their money and also help in deciding if they are buying the right product. FrecS, the algorithm presented in this paper introduces a Collaborative Filtering (CF) approach, which is a technique used for generating high quality and accurate recommendations for the user. CF uses a subset of users who are called neighborhood users to get filtered recommendations for the current user. Moreover, this system utilizes the technique of simple heuristics to provide results, which in turn assist the user in getting a better recommendation without giving much details about them, which also helps them in securing their privacy. Online evaluation and the recommender technique is the basis of the empirical assessment in this system.
Comparing EM-type Algorithm and "mixtools" Packages in R When Estimating Parameters of Mixture Models

We introduce EM-type algorithms when estimating some parameters of Normal-type mixture models. One is from the packages in r, named mixtools and the other is EM algorithm for mixture models we make. First, we check whether the estimates of parameters from two algorithms converge to the same value. Second, we will show that computing speed of our algorithm is much faster than that of mixtools packages. Last, we confirm that our algorithm can estimate the parameters properly by comparing estimates-based density estimation and nonparametric density estimation when several simulated data are given.
A SURVEY ON CLOUD DBMS ENABLED DATA TRANSACTIONS AND DATA STORAGE

The cloud based environment enabled the distributed system along with the accessing of data at any instances. The cloud framework that makes the direct transmission along the users at any instances of time. The database management system that provides the acknowledgements and the requests along through its corresponding users to activate the way of data storage. Although the various manipulated works comes under this way of data storage made through the database transactions. For instances of data storage and database transaction provides the distributed service with the path of laaS (logging-as-a-service) and daaS (data-as-a-service). Due to the database transaction may leads the drawbacks by affecting the data storage. From this problem, to influenced the data optimization, data lifecycle management system (DLMS) and its ACID properties along with the quality of data also have the maximum number of stored data. The survey focuses on the data optimization, lifecycle of the data storage with its functional working approaches.
The Importance of Communication to Possession in IP

In this invited online symposium piece, Professor Holbrook engages with the recent article by Dotan Oliar & James Y. Stern, Right on Time: First Possession in Property and Intellectual Property, 99 B.U. L. Rev. 395 (2019). This essay explores the important role that communication to interested third parties plays in for allocating property rights. The essay focuses on two aspects of patent law that demonstrate the importance of such communication: patent priority and utility. Under the first-to-invent regime, the first to invent could lose the right to the patent - and a second-to-invent could get the patent - if the first abandoned, suppressed, or concealed the invention. Thus, to qualify as being in possession of the invention first, there must be a communication of the invention. In terms of utility, patent law requires the disclosure of utility in the patent document itself. Exogenous demonstrations of utility are insufficient, again demonstrating the importance of the communicative act.
English Needs Interpretation : An Inquiry of Protocol Department in Palembang City Mayor Office

Needs analysis has an important role in the process of designing English for Specific Purpose course. This research is trying to analyze English needs based on the Hutchinson and Waters identification (1989) i.e target needs and learning needs. This research is a qualitative case study conducted in Protocol Department of Palembang City Mayor Office as the sampling. The data was obtained through questionnaire. The data was analyzed quantitatively and presented descriptively. The  target needs results show that the necessities are in language skills, language aspects, and communicative competence. The lacks are in vocabulary and language skill. The learners want is a better understanding in all language skill. The learning needs results show that the samples agreed that the learning should be held after office hours or during the break and it only takes around one to one and a half hour for every meeting, and it should take place in the office.
The Physical Space and the Development of Creativity in Peruvian Early Childhood Education: A Case Study in Arequipa

Creativity is a significant flaw that is observed in the Peruvian educational system, and that has its origins in initial education. The purpose of this research is to know the influence of the use of physical space in the development of creativity among pupils of 5-years-old classes of the initial level in Arequipa. In particular, the study was carried out in eight public schools of the Local Educational Management Units of South Arequipa and Caylloma, with 151 students. Two instruments were used, one to evaluate the physical space and an adaptation of the Torrance Tests of Creative Thinking. It was found that there is a relationship between the use of physical space and the development of creativity in children of the 5-years-old at the public educational institutions of the Caylloma and South Arequipa. https://doi.org/10.26803/ijlter.19.2.12
Detecting semantic relations in texts and their integration with external data resources

We present our initial steps towards a linguistic processing of texts to detect semantic relations in them. Our work is an essential part of the INTLIB project whose aim is to provide a more ecient and user-friendly tool for querying textual documents other than full-text search. This tool is proposed as a general framework which can be modied and extended for particular data domains. Currently, we focus on Czech legal texts.
Conveniently Integrate Communication Through Your Phone System

The communication methods, platforms, and devices available to modern businesses and consumers are numerous and diverse. Having all of these ...
Performance Model's development: A Novel Approach encompassing Ontology-Based Data Access and Visual Analytics.

The quantitative evaluation of research is currently carried out by means of indicators calculated on data extracted and integrated by analysts who elaborate them by creating illustrative tables and plots of results. In this approach, the robustness of the metrics used and the possibility for users of the metrics to intervene in the evaluation process are completely neglected. We propose a new approach which is able to move forward, from indicators’ development to an interactive performance model’s development. It combines the advantages of the ontology-based data access paradigm with the flexibility and robustness of a visual analytics environment putting the consumer/stakeholder at the centre of the evaluation. A detailed description of such an approach is presented in the paper. The approach is illustrated and evaluated trough a comprehensive user’s study that proves the added capabilities and the benefits that a user of performance models can have by using this approach.
Global Horizontal Irradiance and Meteorological Parameters Analysis for Modeling Effects of Cloud Motion on PV Generation

Efforts are exerted worldwide to increase the deployment of renewables specifically solar photovoltaic (PV) systems. One main challenge to face is the perturbation due to the fluctuating nature of the solar energy. The intermittency of the irradiance received by the solar PV systems is mainly caused by the cloud covering the PV system.Â  In this paper a statistical analysis of the received irradiance by a real PV plant as well as the meteorological conditions/parameters surrounding the PV arrays is performed. The meteorological data analyzed include the speed of the cloud, gust, number of clouds passing, width of the clouds, and the time interval between consecutive clouds. One objective of this study is to indicate and adjust the parameters that are to be fed to a Cloud Motion Simulator (CMS); which is a software that simulates the repeated passage of clouds over an electric power system model which includes interconnected PV.
DIGITIZATION OF DOCUMENTARY HERITAGE FROM THE PERIOD OF THE BULGARIAN NATIONAL REVIVAL: EXAMPLES OF THE ACTIVITIES OF REGIONAL LIBRARIES IN BULGARIA

Information about the paper titled "DIGITIZATION OF DOCUMENTARY HERITAGE FROM THE PERIOD OF THE BULGARIAN NATIONAL REVIVAL: EXAMPLES OF THE ACTIVITIES OF REGIONAL LIBRARIES IN BULGARIA" at IATED Digital Library
The space complexity of inner product filters

Motivated by the problem of filtering candidate pairs in inner product similarity joins we study the following inner product estimation problem: Given parameters $d\in {\bf N}$, $\alpha>\beta\geq 0$ and unit vectors $x,y\in {\bf R}^{d}$ consider the task of distinguishing between the cases $\langle x, y\rangle\leq\beta$ and $\langle x, y\rangle\geq \alpha$ where $\langle x, y\rangle = \sum_{i=1}^d x_i y_i$ is the inner product of vectors $x$ and $y$. The goal is to distinguish these cases based on information on each vector encoded independently in a bit string of the shortest length possible. In contrast to much work on compressing vectors using randomized dimensionality reduction, we seek to solve the problem deterministically, with no probability of error. Inner product estimation can be solved in general via estimating $\langle x, y\rangle$ with an additive error bounded by $\varepsilon = \alpha - \beta$. We show that $d \log_2 \left(\tfrac{\sqrt{1-\beta}}{\varepsilon}\right) \pm \Theta(d)$ bits of information about each vector is necessary and sufficient. Our upper bound is constructive and improves a known upper bound of $d \log_2(1/\varepsilon) + O(d)$ by up to a factor of 2 when $\beta$ is close to $1$. The lower bound holds even in a stronger model where one of the vectors is known exactly, and an arbitrary estimation function is allowed.
The Research of Ternary Error-Correcting Output Codes Based on Genetic Programming

Error-Correcting Output Codes (ECOC) provides an effective solution for the multiclass classification problem by decomposing a multiclass problem into a set of binary class problems. In an ECOC algorithm, the design of coding matrix is the key to its performance. In this paper, we propose a Genetic Programming (GP) based ECOC algorithm, aiming to produce optimal coding matrices through the evolutionary process. In our GP, each terminal node denotes a column in the coding matrix, and each nonterminal node represents an operator, which combines the columns represented by its terminal nodes. In this way, an individual is interpreted as a coding matrix, and a set of operators are proposed to exchange information between column pairs, so as to produce new columns. Feature selection methods are also integrated into the terminal nodes, so that individuals are dynamically assigned to optimal feature subspaces for diverse classification problems. With evolutionary operators, offspring with high discriminant capability would be produced in the evolution. Our experiments compare our algorithm with other 7 classic ECOC algorithms with the deployment of diverse basic classifiers based on a set of UCI data sets, and results prove the superiority and robustness of our algorithm.
Service System Design and Automation in the Hospitality Sector

Service system design and customer experience mapping are useful tools capable of improving focus on guest satisfaction and service processes. This integrative-narrative literature review paper (INRP) investigated the technological automations (robots, artificial intelligence and augmented reality) in the hospitality sector for the purpose of gaining the attention of operations managers, hotel chains and academics alike. The INRP investigated how service system design and blueprinting can be utilized to roadmap technology innovations in hotel and restaurant customer experiences. The research is intended to guide hospitality practitioners into new lines of inquiry and facilitating the direction of academic research by determining what needs to be done to narrow the gap among practitioners and academics with respect to how implementation in of technological advancements in the hospitality sector can best be approached. A guided framework of key decision points in technological adoption is presented.
Hybrid Analysis of BPEL Models with Grammars.

BPEL (Business Process Execution Language) is a language to formally describe business processes, and synthesize suitable executable orchestration code for web-services accordingly. In particular, the subset of BPEL of so-called straight-through processes (STP), tailored for short-living processes, is used in banks and tax administrations to process large numbers of transactions per hour without human interaction. This paper contributes two novel tool-supported approaches for the analysis of STP event traces. Both are based on (attribute) grammars: a static verification approach based on parsing and a Prolog-based approach for automatic test-case generation. Our tool suite supports both protocol and data-oriented properties of STP event traces. We validate and compare our tool suite to existing approaches with an industrial case study of the Dutch Tax and Customs Administration (Belastingdienst).
Study on optimum clamping force of vice in milling machine operations

At present, general-purpose milling machine are used for practical traninings in the field of education. In practice, materials are attached to the vise for processing. However, because vise-tightening is a sensory task, it is difficult to evaluate the appropriate tightening force. Therefore, in this research, we examined by experimental measurement of the tightening force applied by a skilled worker and determining the safe tightening force. As a result, we obtained information on the appropriate tightening force. A measuring instrument capable of visualizing the tightening force was also manufactured, and its effectiveness was examined.