Reviewerly/exHarmony huggingface dataset:
Impact of Organizational Culture on Transformational Leadership and Organizational Performance

This study employs structural equations modeling via PLS to analyze the 392 valid questionnaires in order to assess the proposed model that is based on the transformational leadership characteristics to identify its effect on the performance of organizations, besides assessing the moderating role of organizational culture in the government sector in the United Arab Emirates. The main independent construct is transformational leadership as a second-order construct of idealized influence, inspirational motivation, intellectual stimulation, and individualized consideration. The dependent construct covers organizational performance in terms of learning &amp; growth and internal process. Whereas power distance representing the organizational culture as a moderating variable. The study will describe the relations among the various constructs. Our work has improved our insight into the importance of transformational leadership and organizational culture. Results indicated that the independent variable significantly predicted performance, in addition to power distance having a significant moderating role between transformational leadership and internal process, but not between transformational leadership and learning &amp; growth. The proposed model explained 40.8% of the variance in learning &amp; growth and 29.8% in internal process.
An Efficient Method for Suspicious Activity Detection

This paper contributes on suspicious activity detection from length of video with less complex processing algorithm. The proposed method in this paper is easy to implement and robust enough to monitor different suspicious activities such as sudden seating, standing up, hiding from midway path, entry from midway. The suspicious frame detection is a novel approach and then confirmation is done using SURF based descriptor matching for speedy processing requirements. The results obtained in terms of tracking window and detection capability are satisfactory.
Public opinion on cyber Crime

Cybercrime, or computer orientated crime, is crime that involves a laptop and a community. Only 38 percent of worldwide agencies claim they're organized to deal with a sophisticated cyber assault. Cybercrimes can be defined as: "Offences which are committed towards individuals or groups of people with a crook motive to intentionally harm the popularity of the victim or reason bodily or mental damage, or loss, to the sufferer directly or circuitously, using current telecommunication networks along with Internet (networks together with however no longer restricted to Chat rooms, emails, word boards and organizations) and cell telephones (Bluetooth/SMS/MMS)" Descriptive analysis is used. Convenience sampling method is used for selecting sample size 1480 samples. Independent variable such as age, gender, and educational qualification are used. Percentage analysis, chi square, correlation, independent sample t test, and ANOVA used for the study.
Genre Variation

Abstract This chapter gives a critical survey of research traditions and findings in the study of genre variation, both from a grammar and a text linguistic perspective. After introducing foundational concepts, the chapter discusses the dimension of spoken versus written language, including the question of medial versus conceptual orality, the distinction between narrative and non-narrative genres as well as characteristics of computer-mediated communication, weaving in data and insights from studies in both linguistics and rhetoric. Shifting to a focus on specific grammatical constructions, the chapter then moves on to three areas of syntactic inquiry that are illuminated by genre considerations: variation in grammatical complexity, the representation of agents, and word order variation. The chapter ends with reflecting on the competence/performance distinction and thoughts on the idea that spoken language follows a different grammar than written language.
Digitalisation of Electoral Process and Its Impact on the Voting Behaviour of People in India

Digitalisation is a process to improve human common errors in developmental process. It covers all aspects from science and technology to communication, social, political, economic areas. Digitalisation makes life easier. India being a globalised, democratic country introduced digitalisation process to improve the conditions of people living in India. The present Prime Minister himself advocated ‘digital India’ campaign to reduce corruption, fast transaction and remove the manual obstacles for a faster economic growth and development of India. Digitalisation of electoral process means the use of digital equipments in the election system in India. It includes technique, tools used in the campaign process, introduction of Electoral Voting Machines (EVMs) for result declaration etc. This paper will examine the digitalisation of electoral process in India with special reference to the impact of digitalisation on voting behaviour of people in the last two general elections. Secondly, the changes it has created in 2014 and 2019 general elections compare to the earlier election and followed by data analysis part of the paper and conclusion. In conclusion the paper tried to explain the pros and cons of digitalisation of the election process and its impact on the voting behaviour of people.
Fifth International Workshop on Health Recommender Systems (HealthRecSys 2020)

HealthRecSys 2020 was the 5th International Workshop on Health Recommender Systems held in conjunction with the 14th ACM Conference on Recommender Systems. This workshop followed the previous workshop in 2019 [4] and focused on the application and potentials of recommender systems on health promotion, health care, and health-related topics. By engaging in the discussion and representation of health domains into recommender systems, this workshop facilitated the cross-domain collaborations and exchange of knowledge and infrastructure. This year, in particular, COVID-19-related contributions were discussed.
Face Detection and Recognition using Open CV Based on Fisher Faces Algorithm

Facial Recognition represents the event of a system which may determine the person with the assistance of a face using Computer Vision (Open CV). Face recognition is employed within the fields of Identity Recognition, police investigation and enforcement. It's a method of characteristic someone supported facial expression. This method is enforced in 2 stages. They're the training stage and therefore the testing stage. This study primarily consists of 3 elements, specifically face detection from the image, feature extraction and storing many reminder images, and recognition. Face finding rule is employed to detect the face from the given image. The foremost helpful and distinctive options of the face image are extracted within the feature extraction part. Face Detection may be challenging because of pictures and video frames will contain advanced background, completely different head poses and occlusion like carrying glasses or scarf. It presents a rule for finding face recognition downside and concatenated into one feature vector that is employed to coach the system to recognise among the prevailing photos with it. Within the testing stage the system takes the face of the image of someone for recognition. Image acquisition, preprocessing, image filtering, feature extraction is just like the learning stage. For classification the options are fed to the trained system. The algorithms can determine the face image from the content and acknowledges it.
Efficiency of Bartlett and Levenes Tests for Testing Homogeneity of Variance Under Varying Number of Replicates and Groups in One – Way ANOVA

In numerous investigates, regardless of whether or not beneficial or hypothetical, an inquiry that emerges in performing examination of change is the Homogeneity of Variance suspicion. Severa analysts have checked out terrific assessments for trying out homogeneity of fluctuation and reached determinations dependent on the power and shortcomings of these checks with out considering the effectiveness of these exams below transferring reproduces and gatherings. This paper is devoted to looking on the productivity of Bartlett and Levenes assessments for trying out homogeneity of change depending on each power and kind I blunder beneath transferring variety of reproduces and gatherings (with same contrasts organized with the aid of strategies) for single course ANOVA through one thousand reproductions of arbitrary ordinarily disseminated facts for each mixture of imitates and gatherings. The aftereffects of the exam uncovered that, all in all, type I blunder price diminishes from zero.1 to zero.05 and after that remaining elements quite tons in a degree as the amount of repeats builds unbiased of the quantity of gatherings. Anyways, it seems while range of gatherings is three or a good deal less, Levenes take a look at is better, and Bartlett take a look at is higher when variety of collecting increments. As for kind II blunder, each check brought approximately consistent abatement in mistake rate as sort of recreates and gatherings increments. Be that as it may, each check executed inadequately even with 30 duplicates for every collecting irrespective of the truth that Bartlett test achieved advanced to Levenes at better variety repeats. Turning into test want to be selected by using structure of the data and want to kind I mistake and type II blunder.
Library Software Skills: a case study of college libraries of Delhi

The article accentuates the information communication tools (ICTs) skills of library and information science (LIS) professionals working in the 74 college libraries affiliated with the University of Delhi. In the present study, the respondents gathered the information through a structured questionnaire using the survey method. The questionnaires were distributed among 196 LIS professionals, and 171 filled-in questionnaires were collected personally and elicited 87.1%. The findings demonstrated that most LIS professionals are deficient regarding skills in burglar systems, electromagnetic security systems (ESS), access control system, quick response (QR) codes, biometric technology, content management systems, reference creation and management, R software in statistical package. On account of semi-professionals, it was revealed that they need to enhance ICT tool skills in digital library software, ESS, QR codes, biometric technology, content management system (CMS), reference management, and statistical software. The ICT tool skills will be at the centre of the necessary skills and fundamental to advancing learning skills, problem-solving, and critical, innovative, and systemic thinking towards improving their library services. The authors advocate that college libraries have to cross alongside technological adjustments that are taking location to continue to include value to higher learning establishments. It is also necessary to continue constructing LIS professional potential to ensure that they add value to college libraries. The study is noteworthy because it accentuates the ICT tools skills of LIS professionals and helps the University of Delhi authorities include courses for ICT skills in the academic/ professional curriculum, which would help the working LIS professionals to get capable in different ICT skills.
Extracurricular Management Program to Improve Students 'Non-Academic Achievement Activities in MAN 3 Cirebon

The development of extracurricular activities that are part of self-development at school is very important.In addition, many schools are known to the public because of their achievements in the academic field, yet there are not a few schools are chosen by the community because they have achievements in nonacademic fields, including through extracurricular activities.To be able to improve extracurricular achievements from students, management is needed as a part of education.MAN 3 Cirebon has a number of achievements in the field of extracurricular activities and won both district and provincial levels.Based on the background above, the authors conducted the study to reveal how the management of extracurricular programs to improve students' non-academic achievements in Cirebon 3 MAN.The evaluation process carried out is by determining the extent to which educational goals can be achieved through written test and practice which would be followed by an extracurricular team coordination meeting, where principals and parties involved in extracurricular activities to discuss developments and the obstacles faced during the implementation of extracurricular activities and solving the solution to be repaired in the next semester.The implication of this research is to increase the non-academic achievement of students through extracurricular programs, including training discipline, training students' talents, and schools are known to the wider community.
Power Spectra of Stationary Signals

The Fourier transform X(f) of the sample paths of a stationary, real-valued random signal X(t) does not exist in the usual sense and analysis of the spectral contents of such signals requires a different, more subtle approach which has to rely on the concept of the mean power of the random signal. Only then we can investigate how it is distributed over different frequencies. The question is, of course, of fundamental importance in practical applications as real-life signal processing devices such as measuring instruments, amplifiers, and antennas transmit different frequencies with different attenuation.
Professional Development of Bachelor Designers by Means of Information and Communication Technologies

A developed information community assumes a broad and active use of information and communication technologies (ICT) in the education system, which is due to a number of factors that accompany the process of social development. One of the first to highlight is the introduction of information and communication technologies in education in order to accelerate the transfer of knowledge and experience accumulated by mankind from generation to generation, and from person to person. The second factor to be called is the possibility of improving the quality of education in the process of mastering information and communication technologies, which allows a person to more successfully adapt to what is happening around, i.e. to social changes. The third factor is the active and fairly effective implementation of information and communication technologies in the education system, which is a guarantee of updating the education system in accordance with the needs of modern society. This paper discusses the use of information and communication technologies in the preparation of future bachelors-designers as one of the organizational forms of innovative type teaching at a university, based on modern achievements of the psychological and pedagogical sciences, educational materials of a new generation and widespread use of electronic educational resources. The variety of diverse actions performed by a designer requires their systematization by means of information and communication technologies and bringing them into line with the competencies mastered in the learning process. Through the introduction of computer technologies in the design education system and mastering ArchiCad and Artlantis Render programs by a student going improvement of his/her professional skills as future experts in the field of design, and accordingly, increasing their competitiveness in the labour market. At the same time, the process of forming the creative activity of future designers requires, first of all, the development of their spatial and design thinking; therefore, when teaching a teacher, it is necessary to make the process of mastering information and communication technologies proportionate to the process of developing student's intellectual characteristics
Strengthening Sequential Side-Channel Attacks Through Change Detection

The sequential structure of some side-channel attacks makes them subject to error propagation, i.e. when an error occurs during the recovery of some part of a secret key, all the following guesses might as well be chosen randomly. We propose a methodology that strengthens sequential attacks by automatically identifying and correcting errors. The core ingredient of our methodology is a change-detection test that monitors the distribution of the distinguisher values used to reconstruct the secret key. Our methodology includes an error-correction procedure that can cope both with false positives of the change-detection test, and inaccuracies of the estimated location of the wrong key guess. The proposed methodology is general and can be included in several attacks. As meaningful examples, we conduct two different side-channel attacks against RSA-2048: an horizontal power-analysis attack based on correlation and a vertical timing attack. Our experiments show that, in all the considered cases, strengthened attacks outperforms their original counterparts and alternative solutions that are based on thresholds. In particular, strengthened attacks achieve high success rates even when the side-channel measurements are noisy or limited in number, without prohibitively increasing the computing time.
CFA Software

This chapter introduces and explains the CFA software that is available at no cost. The first is freeware written by Alexander von Eye (Michigan State University). The second is the R package confreq, written by Jörg-Henrik Heine (Technical University Munich). Now the confreq version 1.5.5-0 is available on the The Comprehensive R Archive Network (CRAN) server. The use of both software packages is described and demonstrated with data examples. Confreq is used for demonstrations throughout this book.
Code Mining

Machine-learning techniques are starting to achieve some impressive feats. The successes are due, in part, to the availability of astonishingly large amounts of data that can be used for training. Show a suitably equipped system a billion images of cats and a billion images of lawn mowers, and then see whether it can figure out what the common patterns are. If this succeeds, we can then show the same system a picture of our own cat or lawn mower, and maybe it can tell which is which. Of course, if you show the same system an image of a house, it wouldn't have a clue beyond saying that it's neither a cat nor a lawn mower. Basically, what we're leveraging are statistics, not intelligence, but, nonetheless, the results can be impressive.
Cryptanalysis

The resistance of Rijndael against linear and differential cryptanalysis has been treated extensively in Chaps. 7 to 9. In this chapter we discuss the resistance of Rijndael against various other cryptanalytic attacks.
Handwritten Digit Recognition from Digital Image

This paper presents an overview of feature extraction methods for off-line recognition of segmented (isolated) digit/chratchter. Selection of a feature extraction method is probably the single most important factor in achieving high recognition performance in character recognition systems. Different feature extraction methods are designed for different representations of the digit/characters, such as solid binary characters, skeletons (thinned digit /characters), or gray level sub images of each individual character. Latest research in this area has been able to grown some new methodologies to overcome the complexity of Guajarati digit writing style. The recognition of handwritten digits which are written in proper way to easily readable. The problem is human can write digit in different styles so it is not identified by the computer but the some feature extraction methodologies like end point, junction point; straight lines etc. For features identification and character classification studied different algorithm and technique.
Development of Draping Learning Media Through Dress Form in Determining the Pear Body Shape Compensation Ratio on Custom Skirts

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Proposed a Content-Based Image Retrieval System Based on the Shape and Texture Features

In this paper, we proposed a fusion feature extraction method for content based image retrieval. The feature is extracted by focusing on the texture and shape features of the visual image by using the Local Binary Pattern (LBP – texture feature) and Edge Histogram Descriptor (EHD – shape feature). The SVD is used for decreasing the number of the feature vector of images. The Kd-tree is used for reducing the retrieval time. The input to this system is a query image and Database (the reference images) and the output is the top n most similar images for the query image. The proposed system is evaluated by using (precision and recall) to measure the retrieval effectiveness. The values of the recall are between [43% –93%] and the average recall is 64.3%. The values of precision are between [30%-100%] and the average is 72.86% for the entire system and for both databases.
Data Visualizations: Newsroom Trends and Everyday Engagements

This chapter looks at the production of data visualizations (dataviz) in newsrooms and audiences’ everyday engagements with them.
Video Steganography using Sobel Edge Detection Technique

Video Steganography is a procedure of hiding the message into video in such a way that no one can detect its presence. In proposed research work used two algorithms namely random scan and edge detection for hiding the data into video. Five edge operators are used for edge detection of selected frames namely Sobel, Canny, Prewitt, Log, Robert.
Report of the 1st International Workshop on Context-aware Autonomous and Smart Architectures (CASA@ECSA 2017)

The 2017 1st International Workshop on Context-aware, Autonomous and Smart Architectures (CASA 2017) was held in conjunction with the 11th European Conference on Software Architecture (ECSA 2017), on September, 12th, 2017 in Canterbury, United Kingdom. The goal of this one-day workshop was to bring together researchers and practitioners from academic environment and from the industry to share their solutions, ideas, visions, and doubts in the design of software architectures for context-aware, autonomous, and smart solutions. The workshop focused on architectural aspects offering a complementary vision of such solutions with respect to the available application- and user-oriented perspectives on context-awareness, autonomy, and smartness. Furthermore, the workshop aimed to enable discussions, partnerships, and collaborations among the software engineers interested in these solutions
Questions Generation for Reading Comprehension using Coherence Relations

The present scenario requires a large amount of digital content in the context of forums, directories, videos, classes, etc. Questions can thus play a significant role in digital media by quizzes, questions. Producing Question is the job of automatically producing questions from natural language, acting as one of the main fields of natural language human-computer interaction. we focus on generating fact-seeking, questions using the knowledge base. We implemented a system that takes a reading comprehension text as input and outputs all questions for the selected domain. Our system makes the GQ process three-stage. 1. Content selection selected for question generation 2. Question formation (content transformations to get the question), 3. Evaluate the quality of generated question. The framework system is implemented as an end-to-end system that expects a human to specify a topic. The resulting output is a set of questions in natural language, that Follows the input domain. We show the effectiveness of our approach with previous Heilman and Smith MH method.
Pandas

Pandas is a specialized Python library for data analysis, especially on humongous datasets. It boasts easy-to-use functionality for reading and writing data, dealing with missing data, reshaping the dataset, and massaging the data by slicing, indexing, inserting, and deleting data variables and records. Pandas also has an important groupBy functionality for aggregating data for defined conditions – useful for plotting and computing data summaries for exploration.