Reviewerly/exHarmony huggingface dataset:
Exploring the Nexus Between Culture, Values, Institutions, Happiness and Philanthropy: A Global Evidence

The main aim of this study was to investigate the impact of culture, values, institutions, and happiness on the world's philanthropy.Culture is measured by Hofstede index (i.e.individualism-collectivism, masculinityfemininity, long and short-run orientation, uncertainty avoidance, power distance, and indulgence-restraint).The measurement of value is WVS (World Value Survey) and it consists of the emotion of happiness, active/ inactive membership of a church or religious organization, important in life; religion, confidence on charitable/ humanitarian organization and active/ inactive membership of charitable/ humanitarian organization.Institutions are measured by WGI (World Governance Indicators) and it consists of corruption, regulatory quality, accountability and voice, rule of law, political stability and government effectiveness, the sub-variables of happiness (index) are social support, freedom to take decisions and generosity and world's philanthropy is measured by CAF (Charitable Aid Foundation) world giving index.We have gathered panel data (from the period 2010 to 2014) of CAF index, happiness index and WGI of 62 countries and cross-sectional data of CAF index, Hofstede index, WGI, happiness index and WVS of 24 countries.The result (of panel data) shows that there is a significant relation of WGI, social support and freedom of choice with CAF index whereas there is an insignificant connection between generosity and CAF index.The findings (of cross-sectional data of all factors combined) shows that there is a relation of the Hofstede index and happiness index with the CAF index while there is no linkage of WGI and WVS with the CAF index.The study suggests that charitable organizations should personify their value in order to build trust among the public.Countries should improve their governance because this will lead to equality and by doing this countries will also manage their resources efficiently and effectively.
reCAPTCHA: Human Based Embedded Image Generation and Recognition for Web Security

In this paper a fundamental study is considered for the conversion of the thermal energy to electrical energy using ISCC and ORC system and also work provides a descriptive study about the ORC system. The study also recommends some future direction for further research on the basis study of different aspects of the system. The study recommends the usage of the spray system for the enhancement in the surface area of solar collector arrays and also different working is being used based on thermal and electrical properties which works fine in the complete conversion process. The joined framework comprises of a traditional petroleum gas consolidated cycle, natural Rankine cycle and solar fields. Utilization of ORC framework is done for natural liquid flow for the power production through extension and mechanical process where the determination of the working liquid compasses properties likebreaking point and condensing level are properly measured. Minimization of the loss of power in various cycles or procedures is due to the reuse of stored heat and spray system. The purpose of the work is to present a study relying over the ISCC and ORC system for the electricity generation and reuse of the thermal energy. The work also presents study that actually revels the various phases, points about the ORC system using ISCC in two different forms and modes can be used further for better and efficientresearch.
A Study on the Relationship between Students’ Computer Self-Efficacy and Use of ICT in Learning Mathematics: The Level of Students’ Mathematics Ability as a Mediator

In this information age, information, and communication technology (ICT) has changed in the field of education system.While it is important that students have to be able to use ICT in Mathematics classroom.This study discovered the factor that influence on students' computer self-efficacy and use of ICT in learning Mathematics based on their level of Mathematics ability.120 Mathematics students from the state of Zanjan in Iran were randomly selected from a simple random sampling technique.In this paper the researcher examined the relation between students' computer self-efficacy and students' use of ICT in learning mathematics based on their level of Mathematics ability.Students' computer self-efficacy was positively correlated with the students' use of ICT for learning Mathematics [r = .41;p <.001].A structural equation modeling (SEM) analysis showed that more than 66% of the variation in student' use of ICT in the Mathematics classroom was explained by the variation in students' computer self-efficacy based on medium and weak level of Mathematics ability.
Pattern Classification using Three Axis Accelerometer and Magnetic Sensor Toothbrush

The idea of savvy toothbrush, fit for observing brushing movement, introduction through the hold pivot, amid tooth brushing was recommended in our past investigation. In this investigation, we depict a tooth brushing design order calculation utilizing three-pivot accelerometer and three-hub attractive sensor. We have discovered that wrong tooth brushing design indicated explicit moving examples. So as to follow the position and introduction of toothbrush in a mouth, we have to know outright organize data of toothbrush. By applying tilt-repaid azimuth (heading) figuring calculation, which is commonly utilized in little telemetries gadgets, we could discover the tendency and introduction data of toothbrush. To evaluate the plausibility of the proposed calculation, 8 brushing examples were performed by 6 individual solid subjects. The proposed calculation demonstrated the discovery proportion of 98%. This investigation demonstrated that the proposed checking framework was imagined to help dental consideration faculty in patient training and guidance in oral cleanliness with respect to brushing style
An Efficient Resource Provisioned Technique in Cloud Computing Environment.

Different ICT-empowered service providers additionally have either embraced distributed computing or began moving administrations to cloud framework. Be that as it may, the expanding interest for cloud based foundation has come about into extreme issue of managing the resources and adjusting of load for cloud specialist providers and customers. Specialists have recommended various resource provisioning techniques for effective resource usage. An epic burden adjusting procedure addressing the movement of the outstanding task at hand from over-stacked VM to gently stacked VM in distributed computing conditions is presented in this paper. An undertaking is made to help the cloud accomplices to beat the imbalanced asset utilization issue is shown in this paper.
Document Classification of Accreditation Documents Using Machine Learning Algorithm

This paper presents the document classification of accreditation documents in Higher EducationInstitution (HEI)s specifically for Accrediting Agency of Chartered Colleges and Universities in the Philippines(AACU) accreditation.This study uses Naive Bayes algorithm in classifying documents as which area it should belongs to.For scanned documents or image-based document, the study uses Optical Character Recognition(OCR) in extracting text from the said documents.The result of the study shows 90% accuracy using cross validation.
We Have Time Requirements

This chapter describes the many time constants of human perception and behavior. Based on those time constants, it also provides guidelines and real-time deadlines that interactive systems must meet to synchronize well with human users as well as examples of user-interface designs that do and don't match those time constants and deadlines.
JavaScript Libraries

JavaScript libraries are a collection of pre-written JavaScript programs which have a defined Application Programming Interface (API) that can be used by other programs to make use of their functionality. For instance, a library might provide a collection of useful objects such as tables and graphs of different kinds. Those objects would have parameters defined so that you could provide data to them and define things about the layout of the objects.
Flawed narratives

Nicola Chalton and Meredith MacArdle's recently republished The History of Science in Bite-sized Chunks must be credited with the easy manner in which it synthesizes past and present snippets from across the diverse breadth of sciences.
Exploring the Concurrency Utilities

Chapter 7 introduced Java’s Threads API. Significant problems with Threads resulted in the development of the more powerful Concurrency Utilities framework. In this chapter, we take you on a tour of this framework from Android’s perspective.
Twitter Sentiment Analysis using XGBoost and Logistic Regression A Hybrid Approach

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
LEADING PEDAGOGICAL APPROACHES TO SCIENTIFIC AND METHODOLOGICAL SUPPORT IN PREPARATION FOR SUBJECT OLYMPIADS AT THE UNIVERSITY

The article examines the theoretical and practically significant components of high-quality and competent scientific and methodological support in preparation for subject Olympiads in higher education.The authors update and present the theoretical and practical substantiations of the verified scientific and methodological regulation designed to improve the training of participants in the Olympiads.The main pedagogical approaches that contribute to improving the quality of preparation of participants for subject Olympiads in universities are highlighted.
Adaptive Control for Dual-Arm Robotic System Based on Radial Basis Function Neural Network 

The paper has developed an adaptive control using neural network for controlling a dual-arm robotic system in moving a rectangle object to the desired trajectories. Firstly, the overall dynamics of the manipulators and the object have been derived based on Euler-Lagrangian principle. And then based on the dynamics, a controller has been proposed to achieve the desired trajectories of the grasping object. A radial basis function neural network has been applied to compensate uncertainties of dynamic parameters. The adaptive algorithm has been derived owning to the Lyapunov stability principle to guarantee asymptotical convergence of the closed dynamic system. Finally, simulation work on MatLab has been carried out to reconfirm the accuracy and the effectiveness of the proposed controller.
Inclusion of Wikipedia, a language specific knowledge resource to generate and update a synset in WordNet

Lack of competent lexical resources is a ubiquitous fact that negatively affects the development of natural language processing tools for not so widely spoken languages. Recently, projects such as Indo WordNet have significantly reduced the scarcity of lexicons for Indian languages. However, their coverage is still a matter of concern. The cost and time incurred are other limiting factors. The reluctance to automate the process of lexicon generation is majorly credited to the poor precision of the generated synsets. In this paper, we strive to tackle these issues by incorporating language-specific knowledge resources which ensures the authenticity of the generated synsets along with the inclusion of endemic words. We propose a corpus-based approach for automated synset generation which visibly improves the quality of the generated synsets. The experiments performed on a manually created dataset of Hindi words provide a precision of 81.56% and an F-measure of more than 72%.
Estudio de bases de datos para el reconocimiento automático de lenguas de signos

Automatic sign language recognition (ASLR) is quite a complex task, not only for the difficulty of dealing with very dynamic video information, but also because almost every sign language (SL) can be considered as an under-resourced language when it comes to language technology. Spanish sign language (LSE) is one of those under-resourced languages. Developing technology for SSL implies a number of technical challenges that must be tackled down in a structured and sequential manner. In this paper, some problems of machine-learning- based ASLR are addressed. A review of publicly available datasets is given and a new one is presented. It is also discussed the current annotations methods and annotation programs. In our review of existing datasets, our main conclusion is that there is a need for more with high-quality data and annotations.
Research for the Improvement of the Foundations of Engineering Lab Course

Kelsy is a Pre-Cybersecurity major at the University of South Florida-Tampa
Modified CSLBP

&lt;p&gt;Image hashing is an efficient way to handle digital data authentication problem. Image hashing represents quality summarization of image features in compact manner. In this paper, the modified center symmetric local binary pattern (CSLBP) image hashing algorithm is proposed. Unlike CSLBP 16 bin histogram, Modified CSLBP generates 8 bin histogram without compromise on quality to generate compact hash. It has been found that, uniform quantization on a histogram with more bin results in more precision loss. To overcome quantization loss, modified CSLBP generates the two histogram of a four bin. Uniform quantization on a 4 bin histogram results in less precision loss than a 16 bin histogram. The first generated histogram represents the nearest neighbours and second one is for the diagonal neighbours. To enhance quality in terms of discrimination power, different weight factor are used during histogram generation. For the nearest and the diagonal neighbours, two local weight factors are used. One is the Standard Deviation (SD) and other is the Laplacian of Gaussian (LoG). Standard deviation represents a spread of data which captures local variation from mean. LoG is a second order derivative edge detection operator which detects edges well in presence of noise. The proposed algorithm is resilient to the various kinds of attacks. The proposed method is tested on database having malicious and non-malicious images using benchmark like NHD and ROC which confirms theoretical analysis. The experimental results shows good performance of the proposed method for various attacks despite the short hash length.&lt;/p&gt;
Generating Highlights of Cricket Video using Commentators and Spectators Voice

Videos are one of the important and richest sources of data on internet. In this growing world of digital technology video summarization will be handy in analysing the video data. Recently Natural Language Processing has attracted more researchers to work to meet the current emerging challenges. Among the various issues, video summarization got more focus and in this regard, many applications and works have been evolved. Video Summarization is the process of creating a small video describing the actual video within short duration(s). The paper focuses on generating highlights of a cricket video by analysing the voice of commentator and spectators. The experimental results have shown good performance when compared with human generated summary.
Introduction

Chapter 1 presents the book research motivation, which contains a brief explanation of the state of modern mobile robotics. Then, the book Statement has been formulated. The last section presents a defined aim and scope along with the book organization structure.
Abstraction

The power of abstract thinking is captured by the brilliance of John von Neumann who made many contributions to mathematics, computer science, and game theory. One definition of abstraction is that an instance exists only in the mind (the word <italic>truth</italic>) rather than in the environment (the word <italic>car</italic>). An advantage of the latter, concrete examples is they support the formation of visual images to aid recall. A second definition of abstraction is a focus on the most important attributes of an instance. These attributes include those that differentiate one object from another or one category from another. A third definition of abstraction is that an abstract idea applies to many particular instances of a category. Prototypes, rules, and schema are examples.
Surface Waves and Normal Modes

This third edition provides a concise yet approachable introduction to seismic theory, designed as a first course for graduate students or advanced undergraduate students. It clearly explains the fundamental concepts, emphasizing intuitive understanding over lengthy derivations, and outlines the different types of seismic waves and how they can be used to resolve Earth structure and understand earthquakes. New material and updates have been added throughout, including ambient noise methods, shear-wave splitting, back-projection, migration and velocity analysis in reflection seismology, earthquake rupture directivity, and fault weakening mechanisms. A wealth of both reworked and new examples, review questions and computer-based exercises in MATLAB®/Python give students the opportunity to apply the techniques they have learned to compute results of interest and to illustrate Earth's seismic properties. More advanced sections, which are not needed to understand the other material, are flagged so that instructors or students pressed for time can skip them.
Underwater Image Enhancement Using Enhanced Detail &amp; Dehaze Technique (DDE)

Underwater images are often distorted by blurring, greenish appearance, noises, bright artifacts, nonuniform lighting, low contrast and limited range visibility.Thus, the underwater images need to be enhanced in order to restore the visibility and image quality.This paper proposes an Enhanced Detail & Dehaze Technique (DDE) to restore the underwater image visibility.The proposed method removes the blurriness based on modified channel prior scheme and improves the image details based on enhanced Son method.Additionally, the image contrast is enhanced based on CLAHE.The MSE test and PSNR test are used to evaluate the effectiveness of the proposed technique on underwater image enhancement.From the conducted tests, the proposed method performed better in restoring the underwater image visibility compared the dark channel prior scheme.
Blockchain Simulation

The University of Central Florida’s Institute for Simulation and Training has been awarded by the ARO (Army Research Office) a DURIP (Defense University Research Instrumentation Program) award to build a blockchain and quantum defense simulator. This unique program allows for state-of-the-art technology to be built not only to serve the U.S. military but also to provide for research and experimentation throughout academia, industry, non-profits, and other partnerships. As America’s Partnership University,™ UCF is committed to broad-access critical infrastructure that will help define our future. With the age of quantum computing at our doorstep, the cryptographic methods used and the security of the entire process, including the people, processes, and technology, could be susceptible to bad actors.
Biometric Mobile Data on Secure Public Cloud Vulnerabilities

Companies who are implementing the cloud solutions have increased numerous advantages in the recent years. Cloud solutions provide a very few preferences, for example, portability, adaptability and costs funds. Alongside the numerous advantages that distributed computing offers the security challenges that it presents are similarly striking. The two essential capacities for secure cloud administration are character administration and access control in distributed computing, the current methodologies for client confirmation depend on accreditation that are put together by the client. These accreditations incorporate passwords, tokens and computerized authentications. Most of the cases unapproved access by outsiders, for example, programmers likewise exist and simple for information control and abuse. In any case, the most serious issue with this methodology is that the presence of such many secret phrase account pairings for each individual client prompts either overlooked passwords or utilizing a similar mix for different locales. Security issue is significant concern, region of research in versatile distributed computing and clients. Shielding the remote information and applications from any ill-conceived get to remain an essential security worry in portable distributed computing. This paper explains about secure bio metric and face recognized based authentication protocol which is best suited for the public cloud environment to improve the safer and secure user authentication process. The above strategy will anchor approved clients as well as keep the cloud suppliers can't get in to the information and data access.
ICT Driven Dec ision Support &amp; Information Dissemination DSID ): A Comprehensive Technical Appraisal o f DSID System s i n Indian Agriculture

Sustainable growth of the agricultural production system demands the availability of right technical inputs about the weather, crop, land, fertilizers, and irrigation at the right time. To disseminate useful information to farmers in an effective and timely manner, many research initiatives have been undertaken by various government and private agencies’ in India to develop decision support and information dissemination (DSID) systems. This paper appraises fifteen number of such systems that are developed in India in the last decade. The appraisal discusses the (i) user information (type of users, participation method and level of skill level), (ii) system information (developing agency, system type, interface, supported application domain and outcome), (iii) system design specification (input/output, data collection method, architecture, user connectivity means), (iv) system development technologies (development technologies and tools), (v) system response (support delivery method, recommendation mechanism, response time) and, (vi) system services (user response, social and economic benefits). Considering all the above mentioned factors, summary sheets have been prepared and analyzed on the basis of normalized weights assigned to each aspect. As a result of analysis, criteria/method for evaluation of system quality (on the basis of support, satisfaction and perceived usefulness) has been formulated. Furthermore, the paper also investigates various challenges that need to be addressed to build effective and efficient DSID systems. Considering the fact that the presented appraisal is somewhat more focused towards technical, social and user oriented aspects, the authors believe that this appraisal will help technologists, researchers, and developers to understand the research initiatives and associated challenges that need attention with respect to the Indian context.
The source and origin of the Mesozoic kimberlites in south Australia

Australia (SA), kimberlites are reported north of Adelaide, intruding the Late Neoproterozoic to Early Palaeozoic Adelaide Fold Belt (AFB) and from the Gawler Craton further west (Fig. 1).In the AFB these kimberlites occur as swarms of numerous, relatively thin (0.5-3 m) dykes and sills as well as rarer diatremes or pipes up to ~1 hectare.
CIS Publication Spotlight [Publication Spotlight]

Presents a listing of recent books in the computational intelligence industry.