Reviewerly/exHarmony huggingface dataset:
Review of On the Conceptual Complexity of Non-Point Source Management: Impact of Spatial Variability

This is an interesting work that brings together many contributions in the field of probabilistic risk assessment (PRA) in aquifers to investigate transport of non-point sources (NPS).The authors explore parameters such as recharge rates and contaminant loadings in the final model output.Furthermore, the authors attempt to reduce the complexity of the model by upscaling a set of spatially/temporally variable quantities, such as the hydraulic conductivity, on the management of NPS.Through the use of numerical simulations, the authors provide an analysis that couples vadose zone, aquifers and land use in a single framework.
Secure Outstation Cab Service

The intent of this thesis was to develop an application that would make booking easier for outstation commutes with guaranteed security. Secure Outstation cab service is an automated prototype which depicts the actual working of an organization that deals with the transport domain. It is a web based platform that allows customers to book their cabs from their comfort of their own home or office. The proposed Secure Outstation Cab Service ensures that the customers can book the cab as per their requirements by logging on to the website. The main aim of Secure Outstation Cab Service is that the users are provided with security, unlike the other cab service systems. On the other hand, we have also developed a mobile based application which is mainly meant for support system that is whenever a ticket is raised, the support staff would handle the queries related to booking, commute, food availability, company, etc. by the users. The prototype which we have developed clearly shows how the software acts as a SaaS model in delivering business models with the customers. The paper focuses on the objective of the application, its problem statement, our analysis on the research work done, proposed work and methodology followed by the workflow, conclusions and future work.
Backpropagation Neural Networks Implementation for JKSE Forecasting

Neural networks is a type of soft computing methods that widely has been used and implemented in many fields, including time series analysis. One of the goals of time series analysis is to predict future data value.In this study, we try to implement another approach using the backpropagation neural networks method to forecast the Jakarta Stock Exchange (JKSE) composite index data, which is one of the stock market change indicators in Indonesia.The study then is continued by calculating the accuracy and robustness levels of Backpropagation NN in forecasting JKSE data. The experimental result on the case taken shows an encouraging and promising result.
Artificial intelligence and music

The use of artificial intelligence (AI) technologies is evidentially growing steadily across all sectors and industries. This includes in the creation and development of music, which raises some interesting copyright questions about authorship, ownership and infringement. This chapter will look at the impact of AI on these principles of copyright in the context of music creativity.
Student Achievement

Higher Education AbstractsVolume 56, Issue 2 p. 159-164 STUDENT ACHIEVEMENT Student Achievement First published: 22 June 2021 https://doi.org/10.1111/hea.37_12166Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat Volume56, Issue2April 2021Pages 159-164 RelatedInformation
Sepsis: Computer-gestützte Diagnostik

Drug Prescribing for Patients with Chronic Kidney Disease in General Practice: a Cross-Sectional Study
Application of surficial exploration methods in the Lake Timiskaming kimberlite field, Canada

The Lake Timiskaming kimberlite field is 80 km south of the Kirkland Lake kimberlite field in northeastern Ontario (Fig. 1) and contains 15 kimberlite pipes emplaced between 134 and 155 Ma along the broadly northwest trending Lake Timiskaming Structural Zone.The most common kimberlite facies found in the pipes are tuffisitic kimberlite breccia and hypabyssal kimberlite, indicating that they have been eroded to the diatreme and root zones, comparable to kimberlite pipes in the Kimberley region of South Africa.They penetrate various lithologies of the Archean Abitibi Greenstone Belt and overlying Paleoproterozoic sedimentary rocks.Armstrong and McCracken (1996) estimated on the basis of crustal xenoliths found in the kimberlites that the present land surface was covered by an additional 700 m of Paleozoic carbonate sedimentary rocks at the time of emplacement.Most bedrock in the region is covered by glacial sediments ranging in thickness from a few to 40 m.Kimberlite, being relatively soft, was differentially eroded by preglacial weathering and glacial scouring and can subcrop up to 20 m below the surrounding bedrock surface.Subsequently, most Lake Timiskaming kimberlites were covered by Quaternary age glacial sediments and have no surface expression.
Namoo

Namoo is a narrative poem come to life as an animated VR experience that follows the journey of a man from his birth until death. Namoo was created entirely in VR with Oculus Quill and pushes the boundaries of what is possible in this new artform and platform for animation.
Involvement of Technical Assistants for Teaching Primary Electronic Gadgets uses to Rural People

The vicious cycle of poverty deprives women, the opportunities to have equal access to participate in many developmental programmes. Self Help Groups has been the most potent gross-roots movement in modern India. The Government recognized the necessity of the empowerment of women by involving them in the economic activity with the use of various voluntary organizations. One such voluntary Non –Government organization is Daughters of Mary Immaculate (DMI) a registered NGO promoted under the MahilarThittam scheme (Mathi) in Kanchipuram District. This study attempts to bring a real picture of Economic impact of women SHG’s in Kanchipuram District.
Perl Utilities

The split statement is useful for breaking up a scalar value based on a particular character (or characters). It will return what is split as a list (array) of scalar values. This list is normally assigned to an array:
Algo Bots All over the World

While this book has focused on US regulation of derivatives (with an emphasis on the impact that AI systems and related technologies have had on these markets), people and firms trade futures and derivatives – often with the aid of computers – not just in the United States, but throughout the world. Algo bots are effectively borderless, and not just because they don’t have “bodies” in the sense that humans do, but because advances in AI systems and related technologies are not restricted to the United States, and because the business entities that use algo bots to trade can easily “locate” themselves at various points across the globe for tax, regulatory, or other purposes. This book would be far longer than it already is if I detailed how every nation regulated algorithmic trading of derivatives.
Cloud Computing

We discussed in the earlier chapters that in a distributed system, there are two parts: client and server. Traditionally, corporations have managed their back-end servers on their own at their physical premise. However, there is a trend to consolidate these resources and services elsewhere (the cloud) on a network. These services can be used by the client systems as needed, and the resources can be remotely shared and optimized. The services are provided and managed by “cloud service providers” (CSPs). In this chapter, we’ll discuss different cloud computing models, their implications, and trade-offs. We’ll follow that up with different deployment configurations and consideration for developing and deploying portable and interoperable cloud solutions.
Multi-resolution Modeling for Adaptive UAV Service Systems

With the advent of Unmanned Autonomous Vehicles (UAV), new kinds of systems of systems (SoS) that provide specific services may be on the horizon. We recognize that beyond basic technology requirements, such UAV-based service systems may be subject to a multiplicity of system engineering objectives. An all-inclusive model would be able to provide the basis for decision making in each of such categories as payload requirements, on-board-energy constraints, locations of depots/launch sites, and so on. Multiresolution modeling helps us to construct a collection of partial models, each oriented to one or more objectives. In this paper, we discuss a Modeling and Simulation methodology that is based on Discrete Event System Specification (DEVS) and System Entity Structure (SES). As implemented in the MS4 Me integrated development environment, it provides a practical approach to multiresolution model-based system design of UAV-based service systems.
UI Components

This chapter is all about UI components for data input (fields), action invocation or interaction (buttons and menus), and visualization (icons, images, and such). Vaadin includes a set of UI components that cover most of the needs you’ll encounter when developing business applications, so get ready to see the most frequently used UI components in action.
Review of &amp;quot;Atmospheric energy budget response to idealized aerosol perturbation in tropical cloud systems&amp;quot;

The authors have run some fairly large-domain cloud resolving simulations over the tropical Atlantic, in order to investigate how aerosol indirect effects contribute to the radiative impact of aerosols.They note a non-negligible contribution that depends on the cloud regime being examined.The regime and location dependence of aerosol forcing is something that is not well captured in climate models, since most don't include aerosol effects on convection.This study is straightforward and worthwhile, as it begins to break down these differences in the radiation budgets.I believe it is a good contribution and have only a few suggestions to help improve the manuscript.
Forensic Profiling

This review paper brings out technical and legal association between profiling and forensic science. It emphasizes on trace evidences used as valuable information in perspective of forensic science and criminal justice system. The aim of forensic profiling is to interpret and investigate with reasoning purposes. It explains available forms of data, data processing methods and technologies, and obstacles to data treatment. Proceeding with reconstruction process that formulates a possible hypothesis of profile, different forms of forensic profiling with judicial perspective are discussed. Other factors such as crime prepetition, crime series, and tactical, operational and strategic analysis etc. that can help in developing of profiles are also argued. It distinguishes the profiles significance into new technologies of DNA databases, digital image forensics, 3D and CCTV surveillance cameras, forensic drug profiling and intelligence based expertise centers. Other fields related to security such as detection, risk analysis and surveillance are discussed in profiling perspective
Multi-pose facial expression recognition using appearance-based facial features

The problem of automatic facial expression recognition is both interesting and challenging with a strong impact on many application areas such as animation and human-computer interaction. The field has shown tremendous growth over the past years with its benchmarking efforts and progress. In this paper, an automated system to recognise facial expressions using the deep convolutional neural network is presented. The proposed system has used the appearance based features to recognise the facial expressions from imagery data with pose variations. The appearance based features are extracted by implementing an integrated approach of Gabor filter with local binary pattern method and the selection process of extracted features is executed using the concept of principal component analysis (PCA). The proposed system performance is accessed using the evaluation metrics of precision, recall, f-measure, and recognition rate for the frontal and half side pose images of the JAFFE and KDEF datasets.
The Historical Mandate for the Open-Source Community

Abstract There is a tech coup brewing. The Open-Source community (OSC) has gone from chasing high technology to driving it. How the OSC will affect our future is still unclear, but could it be just the latest incarnation of the ebb and flow of a historic tidal power system that transitions power between the few and the many? This research starts with a simple thesis when societies believe that knowledge is the right of all people who seek it, societies thrive, and those societies will develop the means to promulgate that knowledge. To test this thesis, we create a model of two prototype attitudes and we codify the psychosocial environment implicit to the above model components. Supercilious attitude: the common person cannot assimilate sensational information without fear or being given to wild extrapolations; cannot discern fact from fiction; can be led astray by philosophy and/or science and technology; can be corrupted by corrupt persons for corrupt ends. Populist attitude: ignorance is what makes people susceptible to corruption; all knowledge should be available to all who seek it; people can learn anything; when people work together they can figure out any unknown. We posit that the difference in the psychosocial environments of these two attitudes is likely marked by the placement in society and the intellectual gap between the aristocracy and the laity, particularly along the economic strata. These models produce qualitative metrics that can be used to evaluate the writings and quotes of historical thinkers. We take a trip through the rabbit hole of history to investigate these attitudes by surveying the world’s thinkers from the Platonic and Aristotelian traditions to the dark ages and through the renaissance; thinkers of the Golden Age of Islam in the Arab world; to examples in the modern era. We take a personalistic view of history but reveal a naturalistic history. To be sure, by reviewing historical intellectual and philosophic eponyms, a fluid zeitgeist emerges that pushes attitudes toward knowledge and the common person like ocean tides. We will make the argument that the Polybian model of society –including that which is infused in the American form of government- is driven by the engine of technology and more importantly by those who understand and drive that technology. We investigate the premise that Polybian tyranny is not characterized by wealth gaps, but in reality, it is the intellectual or knowledge gap that provides the opportunity for tyranny. Finally, we take a close look at the emergence of the OSC and its growing dominance over technology. We leave the reader with a question: “Is the OSC a new emerging Polybian Aristocracy that is changing the dynamics of power and influence, overthrowing the old guard technologists?”
Economic Prospects and Policy Challenges for the GCC Countries

The COVID-19 pandemic is having far-reaching consequences for the global economy. Measures to contain the spread of the virus have led to sharp declines in economic activity across the globe, particularly in 2020Q2. The hardest hit sectors have been those requiring intensive human contact, such as tourism, transportation, services, and construction, while, in general, IT-intensive activities have fared better. The economic contraction is most significant in advanced economies. The GCC countries face a double impact from the coronavirus and lower oil prices. GCC authorities have implemented a range of appropriate measures to mitigate the economic damage, including fiscal packages, relaxation of monetary and macroprudential rules, and the injection of liquidity into the banking system, and there are recent signs of improvement. Low oil prices have caused a sharp deterioration of external and fiscal balances, and fiscal strains are evident in countries with higher debt levels.
Calibrating Thresholds Based on Trade-Offs Between Detection Accuracy and FPR for Copy Move Forgery Detection

In this paper, prominent keypoint based features are compared in order to analyze their reliability and efficiency against forgery detection. Four features specifically SURF, KAZE, Harris corner points and BRISK features are used individually on a set of images. The method includes four phases: Image pre-processing, keypoint detection, feature vector description and feature vector matching. In feature matching, MaxRatio has been chosen as a varying parameter for calculating values of false positives and false negatives for each feature. MaxRatio defines the ratio for rejecting ambiguous matches of feature descriptors in the images. The optimal threshold value for MaxRatio is calibrated with the help of trade-off between detection accuracy and false positive ratio. The changes in false negative ratio and false positive ratio are picturized in order to find out optimal threshold for detection accuracy. ROC curves are also plotted for each feature at different values of MaxRatio and area under the ROC curves are calculated. The experiments are performed on two benchmark datasets, namely CASIA version 2.0 and MICC-F600. It has been perceived from experimental outcomes that KAZE features gave best values for all the performance metrics namely accuracy, precision, area under the ROC curve and F1-score with little compromise in time complexity, whereas Harris corner points gave the worst results as compared to rest of the features. Further, in order to improve the execution time, the computation of non-linear scale space process in KAZE can be simplified and GPU programming for real-time performance may also be used.
PENGARUH MANAJEMEN TERHADAP MUTU PENDIDIKAN SEKOLAH

This research was conducted with the aim of seeking information that there was an influence of management on improving the quality of school education, based on the Education Unit Level Curriculum or abbreviated as the KTSP in 2006. The study was conducted on elementary level education staff (SD / MI and SMP / MTS) and intermediate (SMA / MA and SMK / MAK) who have implemented the curriculum, especially the Jakarta area. &#x0D; The results of the study for the group of education workers who implemented KTSP management had an average of 6.97 and for the group of educators who did not implement the KTSP obtained Lₒ of 0.1204 and for the group of educators not implementing KTSP management it was obtained at 0.1268 while L table for 40educators, a significant level of 0.05 at 0.14 means lₒ &lt;Ltabel. It can be concluded that the population has a normal distribution. The results of the homogeneity research obtained X counts of 0.0053 X² table of 3.84 means that X² counts &lt;x² tables, it can be concluded that both populations have the same variance or homogeneity. Testing the hypothesis by using the t test obtained t count of 2.1483 while the significant level of 0.05 degrees of freedom 78 obtained t table of 1.66 means t count&gt; t table then Hᵃ is accepted so that there is management influence on the quality of school education for educational units implementthe KTSP.
PAIRING CONSTRUCTIVISM WITH THE MULTIDISCIPLINARITY OF IS EDUCATION

This paper explores two common threads in IS education, constructivist approaches like active learning and the multidisciplinary educational objectives of Information Systems as a discipline, and demonstrates how these themes are well paired.The paper builds on prior research into effective applications of interdisciplinary and multidisciplinary computing education (Fee, Holland-Minkley, & Lombardi, 2017) and presents a deep survey of the literature in IS education to identify the primary forms that multidisciplinary education takes within the classroom or curriculum.This survey demonstrates how the multidisciplinarity of IS is consistently enhanced by the application of constructivist techniques.The discussion addresses how the predicted benefits of both using constructivist approaches and including multidisciplinary content within a course are well aligned with the objectives of IS education.This will include considering how these two elements of IS education can be paired to support greater diversity and inclusion within the discipline.
Could slime be the answer to fingerprint crime?

A research project at the University of Toronto has tested whether a popular type of household ‘slime’ favoured by children can be used to enhance fingerprints and help solve crimes.
SUEZ supplies UF and NF systems for FPSO sea-water process plant

SUEZ – Water Technologies &amp; Solutions is supplying a sea-water injection system, including sulphate removal technology, for use on board a converted floating production, storage and offloading (FPSO) vessel.
Facial Expression Recognition in Video with Multiple Feature Fusion

Video based outward appearance affirmation has been a long standing issue and pulled in creating thought starting late. The way to a productive outward appearance affirmation system is to manhandle the conceivable outcomes of shifting media modalities and structure incredible highlights to effectively depict the facial appearance and course of action changes achieved by facial developments. We propose a powerful system to address this issue in this paper. In our examination, both visual modalities (face pictures) and sound modalities (talk) are used. Another part descriptor known as bar chart of familiarized Gradients from 3 Orthogonal Planes (HOG-TOP) is projected to free dynamic surfaces from video courses of action to depict facial look changes. In addition, another effective geometric element got from the curve change of facial places of interest is proposed to get facial plan changes.
"HAVE A NICE DAY:)": SOCIAL INTERACTIONS WITH CUSTOMER SERVICE CHATBOTS

The use of chatbots in customer service is increasingly widespread.Although research investigating how users experience such chatbots exists, few studies have looked at how users actually interact with customer service chatbots.We lack knowledge on whether users participate in social interactions similar to what one would expect from a human-human interaction, or if they display different communication tactics.We carried out a study in which we asked 16 participants to interact with two customer service chatbots.The dialogues were then analysed to understand whether and how the users participated in social interaction.The results showed that most of the participants interact with chatbots in ways that resemble social interaction with humans, using full sentences as opposed to keywords, first and second person pronouns, and polite remarks.This shows that even highly task-oriented chatbots, such as chatbots for customer service, elicit various social responses from users and raises the question regarding whether one should design for social interaction with chatbots for customer service.