Reviewerly/exHarmony huggingface dataset:
Is the IntelligenceGym an effective tool to improve cognitive performance in vascular dementia?

Several studies have shown that the capacity of working memory (WM) could be an indicator of performance in several other cognitive tasks: from simple attentional tasks to tasks requiring more compound capabilities. There are many cognitive training strategies, but none of them uses more different cognitive activities during the class. We hypothesized that by changing activities during the class we will have more efficacy to improve cognitive abilities including WM. This study investigated the effectiveness of WM training created by us (IntelligenceGym) to improve cognitive functions in older adults with mild vascular dementia (VaD).
Current state of science integration in primary education

This article describes the current state of integration of sciences in primary education on the basis of literature reviews, sources. Also, the interpretation of the lexical meaning of the integration of sciences has been able to fully express its essence and function. The article also emphasizes the extent to which the student-teacher relationship in the primary education process is properly organized, which in turn has a significant impact on the quality of education. The article also promotes the idea of designing the process of integration of disciplines in teaching using traditional education and modern pedagogical technologies.
Lexicon-based Sentiment Analysis in German: Systematic Evaluation of Resources and Preprocessing Techniques

We present the results of an evaluation study in the context of lexicon-based sentiment analysis resources for German texts. We have set up a comprehensive compilation of 19 sentiment lexicon resources and 20 sentiment-annotated corpora available for German across multiple domains. In addition to the evaluation of the sentiment lexicons we also investigate the influence of the following preprocessing steps and modifiers: stemming and lemmatization, part-of-speech-tagging, usage of emoticons, stop words removal, usage of valence shifters, intensifiers, and diminishers. We report the best performing lexicons as well as the influence of preprocessing steps and other modifications on average performance across all corpora. We show that larger lexicons with continuous values like SentiWS and SentiMerge perform best across the domains. The best performing configuration of lexicon and modifications considering the f1-value and accuracy averages across all corpora achieves around 67%. Preprocessing, especially stemming or lemmatization increases the performance consistently on average around 6% and for certain lexicons and configurations up to 16.5% while methods like the usage of valence shifters, intensifiers or diminishers rarely influence overall performance. We discuss domain-specific differences and give recommendations for the selection of lexicons, preprocessing and modifications.
Preparing languages for natural language generation using Wikidata lexicographical data

In the lead-up to the launch of Abstract Wikipedia, a sufficient body of linguistic information, based on which the text within for a given language can be generated, must be in place so that different sets of functions, some working with concepts and others turning these into word sequences, can work together to produce something natural in that language. To achieve that information body's development requires more thorough consideration of a number of linguistic aspects sooner rather than later. This session will thus discuss aspects of language planning with respect to Wikidata lexicographical data and natural language generation, including the compositionality and manipulability of lexical units, the breadth and interconnectedness of units of meaning, and the treatment of variation among a language’s lects broadly construed. Special reference to the handling of each of these aspects for Bengali and those linguistic varieties often grouped with it will be presented.
Dynamic clustering and modeling of temporal data subject to common regressive effects

Clustering is used in many applicative fields to summarize information into a small number of groups.Motivated by behavioral extraction issues from urban data, the interest of this paper is to propose a classification method that allows modeling the evolution of cluster profiles over time while considering common regressive effects.The parameters of the proposed model are estimated using variational approximation because maximum likelihood estimation is not suitable in this case.The ability of the model to estimate parameters is evaluated using various simulated data and compared with two other models.
Personal development of future economists through professional education

The article examines the peculiarities of the personality development of future economists through professional education. The authors note that it is the personal aspects that play a leading role in the formation of professional identity, since the level of professional training of specialists in the field of economics involves constant self-development and self-improvement. Effective use should also bridge the gap between these stakeholders by establishing partnerships to optimize the coverage of competencies among employees of economic universities by region, specialty, type of employer and career stages. In this regard, it should be said that the professional competencies of economists are directly related to the development of their personality, which will allow them to receive a comprehensively trained and valuable specialist in all respects in the future.
Validitas Sistem Informasi Geografis Pemetaan Penduduk Pada Disdukcapil Kota Solok Dengan Metode Computer System Usability Questionnaire

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A XOR Based Cryptography Using Cloud Agent for Security in WSN and IoT Networks

Computerized advances affected individuals' lives. Most of these computerized gadgets depend on cloud capacity to meet their memory needs. A huge number of pictures, recordings, and sound documents are being moved to distributed storage. Large number of individuals all throughout the planet access these media consistently. Unapproved admittance to these media should be stayed away from. One of the flimsy parts for information breaks is the client end encryption. This paper proposes a procedure for further developing cloud information security by consolidating the AES and blowfish encryption and decoding calculations. AES-256 is utilized as the main layer, followed by blowfish as the subsequent layer, in the crossover arrangement. The yield of the principal layer is contribution to the second layer and the eventual outcome is examined. The proposed strategy likewise talks about other consolidated approaches, for example, AES with other customary calculations however the proposed strategy gives huge results contrasted with different methodologies
IMPLEMENTING SCHOOL LITERATURE MOVEMENT (SLM) TO STRENGTHEN STUDENTS’ CHARACTER VALUES

This research aimed to provide an overview of the implementation of the School Literacy Movement (GLS) in strengthening students' character values at SDN Anyar 3. The SLM was actually formed in 2015, and it is also stated in Permendikbud No. 23 of 2015 concerning Character Growth. Therefore, schools in Indonesia began to implement SLM program in addition to fostering a literacy culture and cultivating students' character values. In addition, the GLS program itself has guidelines so that schools implement it as expected by the government. SLM was conducted outside of learning to attract students' attention to be engaged in literacy. That way students can understand the value contained in the reading book so that students are stimulated to carry out the values of character in reading books in everyday life.
Development of a crystal oscillator taming module based on PID control algorithm

This paper introduces a simple oven controlled crystal oscillator (OCXO) taming module developed by using high precision time measurement technology, Kalman filtering algorithm and PID feedback control principle. This module can discipline OCXO of frequency accuracy 10-7 to 10-10 without using FPGA and complex algorithms, and is suitable for device development and achievement transformation of researchers who are new to the field of time-frequency measurement. Due to its small size, it can also be used in the time calibrator, time synthesizer and other standard instruments that allow the input of external frequency standard, so as to further improve the time frequency parameter of the equipment.
Development of Website and Web Application with Bootstrap case study Student of Information Technology Department Faculty of Science and Technology Suan Sunandha Rajabhat University

This research aims to measure the efficiency of website and web application development with Bootstrap. Currently, access to websites and web applications is also different in the display screen; users may use it with a smartphone, tablet or computer. That are different, such as a smartphone with a screen size of approximately, the tablet has a screen size of approximately and the computer has a screen size of approximately. There is also a difference in screen size, with the different models and brands of the product, resulting in the development of websites and web applications needing to support the display screen beautifully. In the past, development was necessary to write program code to be able to display different screen to be beautiful, it was quite complicated causing slow development. This research has organized a course for students to develop websites and web applications in connection with users by using Bootstraps. And explore the effectiveness of website and web application development with a Bootstrap from a sample of 117 people who are information technology students. The results showed that the knowledge and understanding at a good level with the arithmetic mean of 4.15 and the standard deviation of 0. 35 and the level of good use with the arithmetic mean of 4. 26 and the standard deviation of 0.44, summing the arithmetic mean of 4.21 and the same standard deviation 0.40 can be said that the development of website and web application with Bootstrap has a good level of efficiency.
Model-free method for intrinsic camera parameters calibration and lens distortion correction

Although various camera calibration methods have been proposed, most of these methods cannot deliver accurate determination of the intrinsic camera parameters, because of the coupling errors existing between intrinsic and extrinsic camera parameters and the use of explicit distortion models. Here, we propose a model-free method for accurate camera calibration, which utilizes phase-shifted fringe patterns shown on a liquid crystal display (LCD) screen for estimating the intrinsic parameters of a camera and correcting lens distortion. Horizontal and vertical fringe patterns are consecutively displayed on the LCD screen, which is placed at two positions parallel to the camera sensor plane. These fringe patterns are captured by the camera from the front viewpoint for calculating the absolute phase maps. Then, the images with lens distortion can be transformed to the distortion-free images using an inverse mapping operation. Subsequently, the principal point coordinates are calculated according to the geometric imaging relationship between the positions of the two LCD screens. Finally, the focal length can be estimated using the similarity of triangles formed by the obtained principal point coordinates and the obtained phase maps at the two positions. Both simulated and real experiments are performed to verify the validity of the proposed method. The results demonstrate that this method not only successfully eliminates coupling errors but also perfectly corrects lens distortion.
ZUPT Aided GNSS Factor Graph with Inertial Navigation Integration for Wheeled Robots

In this work, we demonstrate the importance of zero velocity information for global navigation satellite system (GNSS) based navigation. The effectiveness of using the zero velocity information with zero velocity update (ZUPT) for inertial navigation applications have been shown in the literature. Here we leverage this information and add it as a position constraint in a GNSS factor graph. We also compare its performance to a GNSS/inertial navigation system (INS) coupled factor graph. We tested our ZUPT aided factor graph method on three datasets and compared it with the GNSS-only factor graph.
Experimental Wave Flume Tests in ROV-Wave Interaction Effects on the Line Tension for a Work Class ROV in Splash Zone

Abstract Integrity and stability of Remotely Operated Vehicle (ROV) when passing through the splash zone is one of the main concerns in the design of an ROV-umbilical system. Due to the lightweight nature of ROV in water, the umbilical experiences repetitive rapid transitions between slack and taut as the ROV travels through the splash zone. These rapid transitions induce tension spikes in the umbilical, namely snap forces, that can endanger the launch and recovery of an ROV. Therefore, it is important to ensure that the tension spikes do not exceed the safe working load of the umbilical. In this study, launch and recovery of a deep-water work class ROV are experimentally investigated using a 1:10 scaled ROV model through a series of wave flume tests. Different regular and irregular waves are generated in the flume while the ROV model is hung over the flume in four different positions. The tension time-history in the line is measured and recorded using a load cell at the top-end of the line. A simplified numerical model for launch and recovery of the ROV is developed and the numerical results are compared with the experimental ones. It is shown that the presented simplified model can be accurately used for analysis of launch and recovery of the ROV.
Migration and development

Although the nature and causes of countries’ wealth and development was the first and fundamental question early economists attempted to answer, centuries it is still actively researched. Furthermore, migration – despite being as old as humanity – is one of the highly debated topics of our times. The links between the two phenomena are the subject of this chapter. Early economists described the movements of people between locations and the processes of ‘modernization’ of the economy as parts of the same phenomenon. In modern general equilibrium theory, factor movements and growth are linked through several channels. Empirical research focuses on these channels and the causal relationships between migration and development. In recent decades, the main aspect under scrutiny has been the relationship linking development in low- and middle-income countries to emigration towards rich and developed destinations. This chapter reviews the main aspects of this research, its origins, its still open results, and its potential future developments.
Counting Objects by Diffused Index: Geometry-free and training-free approach

Counting objects is a fundamental but challenging problem. In this paper, we propose diffusion-based, geometry-free, and learning-free methodologies to count the number of objects in images. The main idea is to represent each object by a unique index value regardless of its intensity or size, and to simply count the number of index values. First, we place different vectors, refer to as seed vectors, uniformly throughout the mask image. The mask image has boundary information of the objects to be counted. Secondly, the seeds are diffused using an edge-weighted harmonic variational optimization model within each object. We propose an efficient algorithm based on an operator splitting approach and alternating direction minimization method, and theoretical analysis of this algorithm is given. An optimal solution of the model is obtained when the distributed seeds are completely diffused such that there is a unique intensity within each object, which we refer to as an index. For computational efficiency, we stop the diffusion process before a full convergence, and propose to cluster these diffused index values. We refer to this approach as Counting Objects by Diffused Index (CODI). We explore scalar and multi-dimensional seed vectors. For Scalar seeds, we use Gaussian fitting in histogram to count, while for vector seeds, we exploit a high-dimensional clustering method for the final step of counting via clustering. The proposed method is flexible even if the boundary of the object is not clear nor fully enclosed. We present counting results in various applications such as biological cells, agriculture, concert crowd, and transportation. Some comparisons with existing methods are presented.
Leveraging devops and agile to manage fast-paced application development

In today’s fast-moving application development world many organizations are eager on implementing Agile and Dev Ops in tandem. Agile brings in the systematic, more methodical and process driven approach to a large problem at hand where as the Dev Ops adds the vaue through automating some of the processes making them more modular. There is always some confusion on how these two buzzy theories should be overlapped. There needs to be a higher level of flexibility to adapt and understand how both the theories are constantly changing. In this paper we will be taking deep five into the Agile and Dev Ops theories. Also, we will go through the details on how these two can go hand in hand to build successful software application.
Differentially private data aggregating with relative error constraint

Abstract Privacy preserving methods supporting for data aggregating have attracted the attention of researchers in multidisciplinary fields. Among the advanced methods, differential privacy (DP) has become an influential privacy mechanism owing to its rigorous privacy guarantee and high data utility. But DP has no limitation on the bound of noise, leading to a low-level utility. Recently, researchers investigate how to preserving rigorous privacy guarantee while limiting the relative error to a fixed bound. However, these schemes destroy the statistical properties, including the mean, variance and MSE, which are the foundational elements for data aggregating and analyzing. In this paper, we explore the optimal privacy preserving solution, including novel definitions and implementing mechanisms, to maintain the statistical properties while satisfying DP with a fixed relative error bound. Experimental evaluation demonstrates that our mechanism outperforms current schemes in terms of security and utility for large quantities of queries.
Feature extraction of pulse diagnosis signal based on Hilbert yellow transform

Based on the pulse theory of the traditional Chinese medicine, the pulse diagnostic instrument can diagnose diseases. The most important step in pulse diagnosis is to extract the characteristic points from the measured pulse wave. The flat pulse waveform is gained from the pulse wave measured by the photoelectric sensor. The collected signal is filtered and denoised through wavelet transform to make the waveform smoother and reduce the impact of noise on subsequent feature extraction. Feature extraction of signal is mainly analyzed and processed in time domain, frequency domain and time frequency domain. In the time domain, some feature points of the original waveform are extracted. In the frequency domain, Fourier transform of the original signal is used to extract the spectral characteristics of the signal. In the time-frequency domain, the feature of signals are extracted by using of the Hilbert yellow transform. The original signal is decomposed through EMD (Empirical Mode Decomposition) to obtain several IMF (Intrinsic Mode Function), and then the Hilbert transform is carried out on several IMF to obtain the Hilbert spectrum. All the spectra are summarized to obtain the original spectrum. Through the combination of the wavelet transform and Hilbert yellow transform to process the original waveform, the characteristics of the pulse wave can be more clearly and accurately in the time domain, frequency domain and time-frequency domain, which is conducive to the subsequent judgment of the disease corresponding to the waveform.
SECURITY ANALYSIS OF VULNERABILITIES IN ROBOTS

The use of new technology, the digitalization and automation of the robotics sector, has several advantages as well as some negative consequences. These negative effects causing severe integrity loss definitely, human injury or death outweigh privacy concerns in the traditional IT environment. This paper presents a study of the information on the severity of Robot vulnerabilities that the Common Vulnerability Scoring System (CVSS) is unable to accurately detect. There are various ways of evaluating systems, networks, organizations, or process of security vulnerabilities. A common vulnerability rating system is among the most used CVSS. This provides a numerical score based on certain measurements that represent the importance of certain vulnerabilities. The paper is focused on two goals: first, to evaluate the robot safety of various scoring systems, second, to use an identified approach to calculate scores for some of the most important variable evaluation of vulnerability downstream consequences and assessments of third parties. The present study will aid in determining the vulnerabilities.
Community Adaptation Strategy to Flood in Padang City, Case Study: Tabing Banda Gadang

The Padang City is the capital of the province of West Sumatra, as an urban area, the Padang City still has problems with environmental disasters such as floods. To reduce the adverse effects of adaptation strategies it is very important to plan future mitigation actions that can be investigated at the local level. Therefore, to find out the flood adaptation strategy in Padang City at the community level, the study was conducted in a flood-prone area of Padang City, namely Tabing Banda Gadang. The results of the study indicate that various adaptation strategies have been practiced by the local community, generally accepted adaptation practices where adaptation is taken at the household level prevailing at the time of the interview, this strategy includes the reuse of materials or equipment that are not damaged, the results of the interview found that only some small communities adapt by increasing the number of floors. Reducing and changing flood vulnerability is part of the main responsibility between government and society. Sometimes local governments and communities do not always understand the local situation, there is an urgent need to be able to provide a more efficient disaster response.