Reviewerly/exHarmony huggingface dataset:
Are conservative quantifiers easier to learn ? : Evidence from novel quantifier experiments

Natural language quantificational determiners seem to always be conservative. Some researchers suggest that one explanation for this link between syntactic form and semantic interpretation may be due to conservative quantifiers being easier to learn. Previous experimental research showed that children learned a conservative novel quantifier (i.e. not all more easily than a novel non-conservative quantifier (i.e. not only) [Hunter and Lidz, 2013]. In a series of four experiments we further investigated this learnability claim. Experiment 1 replicated the original study, but with adult participants. We found no evidence that the conservative novel quantifier was easier to learn. Experiment 2 replicated and extended the original study, testing children. Again, we found no difference between the quantifiers. Experiments 3 and 4 introduce a new training and testing method, situation verification with correction. In Experiment 3, we tested this new method with known quantifier meanings, conservative all and non-conservative only, using a novel quantifier expression. Children were highly successful, and there was no difference between the two quantifier meanings. In Experiment 4, we used the same method to teach children the novel conservative and non-conservative meanings not all and not only. Most children were unable to learn either quantifier, and we again found no difference between the conservative and non-conservative quantifier in terms of learnability. In conclusion, in four experiments, we failed to replicate findings that conservative quantifiers are easier to learn. These results suggest that a learnability advantage is not a plausible explanation for con-servativity's universality.
Τα ρηματικά πολυλεκτικά στο έργο του Κώστα Ταχτσή: αυτόματη ανεύρεση, ηλεκτρονική καταγραφή, σχολιασμός

Idiomaticity plays an important role in natural language. Starting with simple words, it can appear through broader linguistic structures. Multiword expressions are a heterogeneous category of lexical constructions with different sets of attributes, distinguished by their idiosyncratic behavior. In this thesis we attempt to study the presence of verbal multiword expressions in the work The Third Wedding by Kostas Tachtsis. To complete the task, we performed manual processing along with the MWE Toolkit tool suite in order to automatically identify the MWEs. Finally, we created listings of the findings and conducted a comparative analysis.
Combining Patient Pathway Visualisation with Predicion Outcomes for Chemotherapy Treatments

Funding: NHS Lothian, the DATALab, and the EU H2020 project Serums: Securing Medical Data in Smart Patient-Centric Healthcare Systems(grant code:826278).
The Sociological and Ontological Dimensions of the Knowledge Organization Domain on Google Scholar Citations

This study aims to identify the profiles of researchers in the knowledge organization domain on Google Scholar Citations (GSC) and investigate its sociological and ontological dimensions. The sociological dimension is related to GSC users who declared research interests that fall within the scope of the knowledge organization domain. The ontological dimension is based on the study of these concepts. Domain analysis was used as a methodological framework for this study. A search was conducted on GSC using keywords in order to create a list of scholars who declared the knowledge organization domain as one of their research interests in their Google Scholar Profiles (GSPs). Next, the search for GSPs of authors who had published their papers in the Knowledge Organization journal from 2000 to 2019 was conducted. The results showed that there were 379 publicly available GSPs. Analysis of the affiliated institutions showed that the majority of them were based respectively in the USA, Brazil, and then in India. The ontological dimension of the knowledge organization domain on GSC was examined by studying keywords attached to GSPs. The most frequently used keywords were identified and using network analysis five clusters that represented the main areas of interest were extracted.
A Configurable Healthcare Monitoring System

Advances in sensing and communication technologies are enabling new applications for providing more effective health care. In particular, systems that focus on prevention by continuously and remotely monitoring patients and their surroundings can improve healthcare quality and ease the task of healthcare professionals. This paper describes a Health IT Testbed that provides a comprehensive framework for monitoring a healthcare facility and provides a visualization interface to peruse this data. The testbed comprises two subsystems, a sensing subsystem and a visualization subsystem. The sensing system is responsible for collecting patient and ambient data, and is organized in a hierarchical fashion. For fine-grained physical entity sensing (e.g., sensing body postures of patients), we use SunSPOT wireless modules and a state machine approach to detect the current state of patients. For system-level sensing (e.g., state of the entire healthcare facility), we have created a Crossbow Motes wireless modules based infrastructure, and used a graph-based approach to detect current state and movement of entities between physical spaces. The monitoring system correlates various sensor data to populate a database with information regarding the state of the patients and the surrounding systems. The visualization system takes its input from the database being populated by the monitoring system and allows users to peruse both real-time and historical data. We also present performance results to evaluate the system.
Teaching Reform and Exploration on Biochemistry Experiment Course for Fermentation Engineering Specialty

According to the requirements of engineering education professional argumentation, aiming the current situation that the existing teaching mode of biochemistry experiment course can’t meet the development needs of fermentation engineering industry. This paper carries out a series of reforms and explorations from three aspects: teaching content, teaching methods and assessment forms. It can stimulate students' interest in learning, cultivating students' active learning and innovation ability, and improving the teaching quality of the biochemistry experiment course of fermentation engineering to a certain extent.
ANALYZING THE CHALLENGES TO DIVERSIFICATION OF THE ECONOMY THROUGH PROTECTION OF INTELLECTUAL PROPERTY RIGHTS IN THE ENTERTAINMENT INDUSTRY IN NIGERIA

The Nigerian economy is a monolithic economy dependent mainly on oil. The price of oil has depreciated in recent times and most developed economies have already set timelines to divert to renewable energy sources due to environmental concerns that result from the destructive effect of fossil fuel. These developments have affected adversely Nigeria’s economic development. Therefore, there is a need for Nigeria to diversify her economy to engender economic development especially through knowledge-based systems. The entertainment industry could bring this needed economic development if the potentials are fully harnessed through strong intellectual property laws and policies. This paper analysed the role of law in the protection of the entertainment industry from piracy and explained how the industry can contribute to the diversification drive of the Nigerian economy. Using doctrinal approach, the paper found that the Copyright Act, which is the extant law on the protection of copyright in Nigeria is flawed in many areas especially the lack of provisions to address copyright infringement on the internet. It recommended among other things that the Copyright Act be urgently amended to address obvious lacunas in the protection of copyrighted works in the entertainment industry in Nigeria.
AUTOMATION OF RESEARCH AREA RECOGNITION UNDER WEAK- CONTRAST BORDERS ON A PICTURE OF TRANSPARENT OBJECTS

Recently, due to the active development of computer technologies, in the field of science dealing with visual objects, there are problems of creating systems for automatic image recognition. This class of problems does not have a universal way of solving and this leads to the fact that, depending on the needs of a particular branch of science and engineering, the developers of such systems are forced to solve problems of a private nature.&#x0D; The purpose of this work is to create a software product by the authors that would allow automatic recognition of the study area of objects having a weakly expressed boundary between the separation of object and background to further determine the values of the optical characteristics of transparent objects, as common features in identification trace evidence analysis the whole by parts.&#x0D; One of the main problems of detecting the boundaries of the separation of objects in an image is the poor contrast of the transition region between adjacent areas of the divided space, which leads to the need for image processing to segment and correct the contrast. To develop an effective way to limit the recognition area and identify the boundaries of the studied object under the condition of low contrast between the light background and the space occupied by a transparent medium, which differs from the background in optical properties, there is a need to analyze existing image enhancement algorithms and their further practical implementation using mathematical software products of numerical analysis.&#x0D; Thus, the paper reviews modern algorithms for image recognition methods and algorithms for changing image quality by segmentation and contrast correction. The proposed algorithms are implemented in a computer program developed by the authors of the Sumy Research Institute of the Ministry of Internal Affairs of Ukraine on the basis of the mathematical software MATLAB, which allows to carry out automatic comparative analysis of the studied samples on the basis of their digital images. The questions posed to the authors for further development of this topic are outlined.
Fractional-Order Controller for Visual Servoing Systems

In this chapter, a control strategy based on fractional calculus for visual servoing systems is proposed. The first part of the chapter is dedicated to fractional-order control for an open-loop unstable dynamic system, i.e. a ball and plate dynamic set-up. Next, an image-based control strategy using a point features based fractional-order PI controller is designed for a manipulator robot. A real-time visual servoing plant, composed by a manipulator robot with 6 DOF with an eye-in-hand camera, is used for performance evaluation of the proposed control strategy. The image acquisition and processing, together with the computing of the image-based control law are implemented in MATLAB$$^{\textregistered }$$. Using planar static objects, real-time experiments are used to evaluate the performance. The results reveal that the image-based fractional-order PI controller outperforms the conventional image-based integer-order PI controller.
MENINGKATKAN HASIL BELAJAR SISWA MELALUI PENGGUNAAN METODE EKSPERIMEN PADA MATA PELAJARAN IPA KELAS V SDN 014648 PADANG MAHONDANG

The purpose of this study was to determine the use of experimental methods to improve student learning outcomes in science learning in class V SDN 014648 Padang Mahondang. This type of research is classroom action research. This research was conducted in 2 cycles. The research subjects were students in grade V SDN 014648 Padang Mahondang, totaling 25 students. Data collection instruments used were written tests in the form of multiple choices, observation sheets, observations of teacher and student activities, and photo results. The results of the study stated that learning science through experimental methods can improve learning outcomes in science subjects. This is evident in the initial conditions before completing the action percentage of 28% completeness, the first cycle of 56% completeness percentage, completeness learning cycle I still has not been achieved. In the second cycle the percentage of completeness was 92%. In this second cycle learning completeness has been achieved. Based on the actions taken, it can be concluded that using the experimental method can improve the
EVALUASI KUALITAS AIR MINUM DAN SANITASI LINGKUNGAN LAPAS KELAS II B BANGKINANG DAN PASIR PANGARAIAN PROVINSI RIAU

This study aims to evaluate the drinking water quality and environment sanitation inClass II B Prison Bangkinang and Pasir Pangaraian, Riau Province. The study wasconducted for 2 (two) months. Survey method is employed in this study. To evaluate thequality of drinking water based on physical, chemical, and bacteriological parameters,the observation sheet based on Permenkes No.492 / Menkes / Per / IV / 2010 isemployed, while observation checklist adopted from guidelines for handling prison inprison and remand center, Ministry of Justice and Human Rights, is employed toevaluate the environment sanitation. The findings showed that the drinking waterquality of Class II B Bangkinang and Pasir Pengaraian based on physical, chemicaland bacteriological parameters meet the requirements due to does not exceed thestandard quality. Whereas, the environment sanitation is in the good categorygenerally because the score on the observation sheet exceeds the minimum score of8. Itcould be stated that the quality of drinking water in Class II B Prisons Bangkinang isbetter than Class II B Prisons Pasir Pangaraian. Dealing with the findings of the studyit is suggested to have regular and periodic check to examine the drinking waterquality, water hygiene, and food quality to ensure the prisoner health. In further, thefuture researchers are suggested to have a flexible and depth acces to achieve betterinformation and accurate method.
Parameter Estimation of Rayleigh-Generalized Gamma Mixture Model

The estimation problem of three parameters Rayleigh-Generalized Gamma Mixture (R-GG) radar clutter model is addressed in this paper.Expressions of integer order moments, noninteger order moments and logarithmic moments are presented in such away the scale parameter of the R-GG probability density function (PDF) is eliminated and a two-dimensional estimators labeled HOME, NIOME and [zlog(z)] methods are obtained.Due to the presence of gamma function with fractional variables, these estimators cannot be given in closed forms.The fitness function for each estimator is given as a sum of squared errors of nonlinear equations.Using a numerical routine based upon the simplex search algorithm, the proposed methods were tested firstly on artificial data.Tail fitting of the R-GG model and the standard K-distribution (i.e., special case of the R-GG) is assessed against recorded radar data.The accuracy of the R-GG model and the proposed estimation methods is satisfactory, with the most accuracy of the [zlog(z)] method.
Image Feature Extraction and Evaluation

This chapter introduces the detection algorithms for visual features commonly used in visual servoing applications. The type of visual features addressed here are point features and image moments. For the point features detection, two point operators are presented, Harris operator and SIFT descriptor. Image moment is another type of visual feature that can be used to describe the objects from the image and bring in some advantage as to decouple the non-linearities introduced by the interaction matrix. The chapter also includes the performance evaluation of the visual features in several servoing applications. The performance of the point features was analysed using criteria such as stability, repeatability and features spread. The evaluation of image moments was performed using a criterion based on Hausdorff distance. Finally, all the algorithms were implemented and tested for different servoing scenarios.
Research on Calibration Technology of Five-Degrees-of-Freedom Tandem Robots

Abstract In the robot feedback control system of visual feedback, the calibration of the hand-eye system is very important, because it directly affects the accuracy of the robot. Aiming at the small operating space and compact structure of the micro-assembly robot system, a fixed-vision hand-eye calibration method is proposed. The method first obtains the coordinates of 15 spatial points in the robot base coordinate system, and then uses the camera pose measurement principle to obtain the coordinates of the corresponding spatial points in the camera coordinate system, and then establishes the calibration equations. Based on the least squares method, the coordinate transformation matrix between the hand-eye systems is calibrated. The experimental results show that the constructed hand-eye system coordinate transformation matrix is effective and reliable. The calibration accuracy and effectiveness of the method are verified by relevant grabbing experiments.
An Online Food Ordering System in Restaurant

The recent development of the Internet has augmented the e-commerce industries in a country like India. E-commerce development has made Online food ordering services seamless for people who want to get food delivered at their doorstep. A single window for ordering from a wide range of restaurants, online food delivery mobile applications has become popular over these years. This trend has changed the mindset of customers, gratifying users of different age groups. There are wide varieties of restaurants now delivering online services at best offers and reasonable prices. This, indeed, has expanded their daily business, witnessing a boom in online food delivering system as well as popularizing it across the country. To understand the factors leading to the boom of online food ordering system.
Research on the Model of Autonomous Creation of College English Teaching Based on Innovation Perspective

With China's increasing national strength, English, as an international language, has become increasingly prominent in its social role.The society puts forward new standards for college English teaching, and raises higher requirements for the training of foreign language talents.It particularly emphasizes the importance of the cultivation of comprehensive communicative competence in English language in college English teaching.This article starts with discussing the impact of college entrance examination English reform on college English education, summarizes the characteristics of research from the perspective of innovation, and clarifies the characteristics of teaching and learning modes from the perspective of innovation.From the aspect of improving the self-quality of English teachers, it seeks a breakthrough for the reform of college English teaching, and explores the way for teachers to independently create students from the perspective of innovation.Related research results can effectively improve the quality of English teachers, make English teachers have their own sense of mission and urgency, make bold innovations, and cultivate more comprehensive English talents.
DESIGN OF INFORMATION SYSTEM OF CAREER CENTER ALUMNI STMIK MUSIRAWAS LUBUKLINGGAU MOBILE WEB BASE

The problem in this study is that the mobile web-based career center information system with the breadth first search method does not yet exist on the STMIK Musi Rawas Lubuklinggau campus. Just simply sticking a piece of information on job vacancies on campus campus. This research uses the waterfall system development method and data collection by conducting data collection techniques which are observing (Observation), Question and Answer (Interview), Documentation and Literature Study. The results of this study produce a mobile web-based career center information system using the PHP programming language, and a database using MySQL. It can be concluded that the information system can help STMIK Alumni Musirawas Lubuklinggau find information on job vacancies through the career center information system, and the university can also provide information on available job openings.
“VAST/O”: Exploring the use of expanded animation for a shared physical understanding of spatial phobias

This paper looks at materialities of expression through expanded animation. In particular, it details the development of a creative approach for the production of artworks for an installation that will provide a shared understanding of spatial phobias and their physical and psychological symptoms. It brings together the approach of the two authors and their individual research topics. &nbsp;Combining experiential phenomena of particular materials (placing animation within surfaces and technologies), and spatially distributed reading of comic book panels.&nbsp; The physicality of still and moving images and their distribution/placement will be explored, leading to the expansion of animation contexts.&nbsp; Drawing on various makers and practices, the article explores the use of abstract comics and text as static panels and animated drawing, on-site location, and the intervention of various media technologies and other materialities to recognise their effectiveness and impact as a spatially engaged method of reading. The work developed was applied in an interdisciplinary installation titled VAST/O. The artwork is based on some theoretical approaches from literature and animation, thematically drawing on Gaston Bachelard's notion of vastness, built upon an analysis of Baudelaire’s poetry, and addressing spatial phobias. It seeks to identify a way forward for the communication of the realities of phobic experiences.
Central Bank Digital Currency and the Future of Commercial Banking

Digitalization and Blockchain have fundamentally transformed the structure of the monetary system. The first wave of cryptocurrencies such as Bitcoin, Ethereum or Ripple have failed to gain relevance in terms of their share in monetary transactions. This was due to systemic deficiencies leading to extreme volatility, limited capacity and limited transparency, which have reduced their ability to fulfil the basic functions of money and hence their attractiveness as a medium of exchange. More recently, stable coins have entered the scene which were specifically designed to deal with the issue of volatility by tying the digital currency to an underlying set of assets. Hence the outlook for digital currencies has improved significantly. Although, the widespread of stable coins have has not been significant, the announcement of Facebook Libra and Telegram Gram with the huge number of billions of users raises the probability that this project will successfully reach global scale in a relatively short period of time. This means that a fully stable currency is made available to the people of developing countries, where governments are generally unable to manage the stability of their local currencies, which can lead to a digital dollarization. Meanwhile, the discussion around the introduction of central bank digital currencies (CBDC) as a possible response has continued more intensively. Introduction of a digital currency issued by the central bank will lead to a direct competition for bank deposits between Central Bank and Commercial banks which eventually lead banking system toward full reserve structure.