Reviewerly/exHarmony huggingface dataset:
Research Guides: Qualtrics: Qualtrics Support

Qualtrics is a powerful survey application that allows MSU affiliated users to create surveys, polls, and collect feedback using a variety of question types. This guide provides some introductory resources designed to assist in the use of Qualtrics.
Acoustical demonstration of slurring characteristics using a French horn

In this experiment, we will be attempting to re-create Shona Marie Logie's slurring experiments where a Conn 8D (modern wide bore horn), a Boosey and Hawkes horn, and a trumpet were the selected brass instruments. [S. M. Logie, “An acoustical study of the playing characteristics of brass wind instruments,” Ph.D. thesis (University of Edinburgh, 2012)]. However, instead of the instruments mentioned above, experiments will be performed using an “F” horn. Our goal is to inform students about musical acoustics and slurring by doing some fundamental experiments. When conducting the experiments (in two parts), we perform (1) forced oscillation slurring experiments where the mouthpiece is driven by a loudspeaker and utilize two different microphones (located near the mouthpiece and near the bell) and (2) conduct experiments where the performer is slurring using an excerpt of a musical arrangement. Experiments will be conducted in a soundproof room and an anechoic chamber. We will be using an excerpt from Turandot, by Giacomo Puccini and arranged (for French horn) by Robert van Beringen, called Nessun Dorma (meaning “Let no one sleep”).
The Analyst Model Performance Multi-tier for Increase of Efficiency Virtual Machine In Moodle Application

The use of multi-tier schema has become general phenomena in moodle application on web base in nowadays. Usually is layer presentation on the first tier. On the second tier of the application layer and layer data on the third tier. This is modelling on this paper to looking application performance on web base who is using three-tier model and the impact of value amount in the server who is controlling of each on the tier for the performance. The example in the case who is used for this modelling is the application of Moodle for the college courses in XYZ University. The framework of modelling who is used is Simply which is the simulation framework activity base on the district is using phyton language programming. The simulation on simply can using to a certain interval timer or unlimited (the ideal until for the work all is serviced). The results of the simulation are showing the best obtained by using a single server on each of layer by optimizing the speed of process on the server.
Mapping of Tweet Location with Sentiment Analysis (SMTL)

Accumulating public view by exploring social media data has appealed to researchers due to its wide impact. The people behavior or reaction on certain events can be tracked by use of various text mining methods. In this paper, two new approaches for sentiment analysis for twitter data tidyverse and deep learning are proposed. The proposed methods are analyzed for two of Government of India decisions demonetization and removal of Article 370. The tweets are classified as positive, negative and neutral by calibrating scale for sentiment score. The glmnet classifier is used in deep learning approach for training the twitter text data. The proposed methods give promising results of people opinion about these two government decisions. The preprocessing considers TF-IDF features for modeling glmnet classifier. The user location of twitter users is mapped with use of GIS tools which shows overall impact of these events within the country and world. The results of proposed method show improved accuracy in determining positive and negative views of people.
Cloud computing drivers, barriers, and risk analysis for international organizations

The chapter explores various definitions of cloud computing and the technologies, infrastructure, services, and deployment models behind it. The authors examine the uses of cloud computing by international organizations and the benefits, barriers to adoption, and risks of cloud computing from a records, archives, and information management perspective, based on studies by the United Nations Joint Inspection Unit and InterPARES Trust. While it is clear that cloud computing affords users many benefits, it also comes with risks that can compromise the confidentiality, integrity, and availability of records. These include risks to the inviolability of the archives of international organizations, as well as organizational, legal, and technical risks to the management of records. To address these barriers, the authors promote an interdisciplinary risk-management approach for international organizations implementing cloud services, including controls for mitigating risks based on ISO 31000:2018 and the COBIT 5 risk framework.
Li_Supplemental_Material_rev – Supplemental material for Visual Search May Not Require Target Representation in Working Memory or Long-Term Memory

Supplemental material, Li_Supplemental_Material_rev for Visual Search May Not Require Target Representation in Working Memory or Long-Term Memory by Zhi Li, Keyun Xin, Jiafei Lou and Zeyu Li in Psychological Science
A systematic review on mining web navigation pattern using graph based techniques

A systematic review on mining web navigation pattern using graph based techniques - Today internet is widely used in every
Restoring Missing Fragments of a Distorted Image Due to Defocusing or Blur of a Known Hardware Function

In this paper, a comparative analysis of the methods for recovering images distorted by defocusing or blurring from incomplete data is performed using examples. Incomplete data means the absence of any image fragments that were retouched using different types of interpolation - linear, spline and the interpolation method for the sequential calculation of the Fourier spectrum (IMSCS) developed by us. Then, the famous deconvolution method, the Wiener Filter (WF), was applied to the entire image. Analysis of the quality of restoration, carried out on the example of aerospace images, suggests that using IMSCS to fill in missing fragments (gaps) is either preferred or no less competitive than alternative methods. This is a consequence of the fact that IMSCS does not just retouch the gap, but also tries to reconstruct the lost data.
Active semi-supervised clustering with uncertain constraints

Clustering is the task of finding groups of elements that are highly similar. It is one of the key tools in data mining to extract knowledge from huge amounts of data. However, dierent clusterings may exist for the same dataset. In unsupervised clustering, the user has to find the appropriate combination of algorithm, hyperparameters and similarity metric to obtain the desired clustering. Semi-supervised clustering solves this by using a small amount of supervision provided by the user to bias the result towards one that fulfills the user’s expectation. We consider supervision in the form of constraints, which indicate whether two instances should belong to the same cluster. Typically, semi-supervised algorithms require the supervision a priori, whereas, in active semi-supervised clustering, the algorithm actively queries the user (oracle) for constraints. The algorithm queries the user: Do instances x and y belong to the same cluster?. If the user answers Yes, the constraint between the instances is a must-link, whereas, if he answers No, the constraint is a cannot-link. However, a user may be not sure about the relation between two instances or he may not be able to get an answer in a short time. Thus, forcing him to answer may introduce erroneous constraints in the algorithm that impact its performance. Allowing a user to answer I don’t know to a constraint query is not considered in most previous work in this field. In this thesis, we present the non-deterministic local distance-weak oracle, an oracle model that assumes two situations in which a human oracle would be uncertain about the relation between two instances. Then, we present a baseline method to introduce Don’t know answers into COBRAS making minimal changes to the algorithm. This method results in a better user experience for the oracle in exchange for a loss in clustering quality. Finally, we present two methods that try to predict whether a constraint is a must-link or a cannot-link when the oracle answers Don’t know to its corresponding query. The first method predicts based on constraint similarity, considering the norm and cosine similarity between the uncertain constraint and a reference constraint. The second method makes predictions by training a random forest model with previously queried constraints.
Splitting a Hybrid ASP Program.

Hybrid Answer Set Programming (Hybrid ASP) is an extension of Answer Set Programming (ASP) that allows ASP-like rules to interact with outside sources. The Splitting Set Theorem is an important and extensively used result for ASP. The paper introduces the Splitting Set Theorem for Hybrid ASP, which is for Hybrid ASP the equivalent of the Splitting Set Theorem, and shows how it can be applied to simplify computing answer sets for Hybrid ASP programs most relevant for practical applications.
Triggering security features of oracle

Triggering security features of oracle - Database trigger is a PL/SQL block that is executed on an event in the database. The
Overview of privacy preserving techniques and data accuracy

Overview of privacy preserving techniques and data accuracy - Privacy preserving allows sharing of privacy sensitive data for
Enlivening Port Scanning Exercises with Capture the Flag and Deduction.

Designing engaging exercises when students do not yet possess a lot of knowledge can be difficult. We show how we draw on students’ prior knowledge, along with basic introductory concepts, to design an elemental (but fun) port scan exercise in an introductory security testing module. While “capture the flag” is a security industry standard for exercises, it can require a lot of in-depth knowledge to properly implement and complete. Using basic computer science concepts such as ports and ASCII values, we design a simplified capture the flag exercise where students can make use of deductive reasoning to complete the game. Overall, the exercise was received favourably by the students who found it challenging but enriching.
Acoustic communication along drill strings for deep subsurface monitoring

Monitoring at a carbon storage site is necessary to track the movement of CO2 and assure permanence for geologic storage. Therefore, advanced monitoring technologies and effective methods to transmit data from downhole to the surface are needed to decrease the cost and uncertainty in measurements and satisfy regulations for tracking the fate of subsurface CO2. This study covers the design, development, and initial laboratory-scale feasibility study of an acoustic communication system for monitoring the deep subsurface. We set up a metal tubing in lab space as the model and designed the hardware system for acoustic signal transmission and data collection. The attenuation of the signal along the channel and the impulse response of the acoustic channel were characterized. Using an inverse filter processing method, communication signals were successfully recovered and decoded with zero-bit error rates at three testing locations.
Nutrients recovery from anaerobic digestate

The anaerobic process is considered to be a sustainable technology for organic waste treatment mainly due to its lower energy consumption and production of residual solids coupled with the prospect of energy recovery from the biogas generated. However, the anaerobic process cannot be seen as providing the ‘complete’ solution as its treated effluents would typically not meet the desired discharge limits in terms of residual carbon, nutrients and pathogens. This has given impetus to subsequent post treatment in order to meet the environmental legislations and protect the receiving water bodies and environment.This book discusses anaerobic treatment from the perspective of organic wastes and wastewaters (municipal and industrial) followed by various post-treatment options for anaerobic effluent polishing and resource recovery. Coverage will also be from the perspective of future trends and thoughts on anaerobic technologies being able to support meeting the increasingly stringent disposal standards. The resource recovery angle is particularly interesting as this can arguably help achieve the circular economy. It is intended the information can be used to identify appropriate solutions for anaerobic effluent treatment and possible alternative approaches to the commonly applied post-treatment techniques. The succeeding discussion is intended to lead on to identification of opportunities for further research and development.This book can be used as a standard reference book and textbook in universities for Master and Doctoral students. The academic community relevant to the subject, namely faculty, researchers, scientists, and practicing engineers, will find the book both informative and as a useful source of successful case studies.ISBN: 9781780409733 (paperback)ISBN: 9781780409740 (eBook)ISBN: 9781780409757 (ePub)
The place of object-oriented programming in the school informatics course and in the system of training future informatics teachers

The article presents an analytical review devoted to determining the place and role of object-oriented programming in the school informatics course and in the system of training future informatics teachers. The relationship between the content of the school informatics course and the content of subject training of future informatics teachers with the modern level of development of informatics as a science, as well as with the national development strategy of the Russian Federation are identified and highlighted. The conclusion is made about the relevance and expediency of expanding the role of object-oriented programming both in the content of the school informatics course and in the content of the subject training of future teachers of this course. On the example of the methodological training system developed by the author, the possibilities of such an expansion are proposed by developing interdisciplinary connections with methodological disciplines (through the development of educational mobile applications) are proposed.
HOG and LBP Based Writer Verification

We propose a writer-specific off-line writer verification procedure to improve the reliability of the verification system. It has to be a challenging task, particularly in the off-line scenario, which uses images of the scanned document, where the dynamic information is not available. In this paper, we propose a local textural based feature Histogram of Oriented Gradients (HOG) along with gradient-based feature like local binary pattern (LBP). KNN, SMO and MLP classifiers are experimented within this work. These different classifiers are then trained then individually for each writer and they learn to verify a writer from another randomly selected writer. Our method achieves 89.62% accuracy using KNN on 100 writers database, whose metric is better than both SMO and MLP classifiers. The experimental results show that the two chosen sets of features for the writer verification problem provides improved accuracy and reduces the error rate.
Designing and Implementing an Emotion Analytic System (EAS) on Instagram Social Network Data

Being aware of people's attitudes and emotions about a specific person or an event can have a high impact on the decisions of individuals and organizations. With the rise of social networks, specifically Instagram, many people are sharing their attitudes on this social network. Analyzing the emotions of users of this social network can help managers make organizational decisions and predict essential events such as elections. In this research, the EAS system designed and implemented to extract emotions and visualize them. As a practical example, the Instagram users' feelings about the two main candidates for the 12th Iranian presidential election also examined. The data were Instagram Persian comments collected using a developed crawler. The result shows a more positive feeling about Rouhani in comparison with Raeisi. Also, the lexicon-based analysis of Rouhani revealed a high level of trust emotion, along with anger and disgust. The crawled and preprocessed dataset is publicly available at https://github.com/sfdk74/EAS.
Museum Interactive Edutainment Using Mobile Phone and QR Code

People often regard the museum as a boring place, something old-fashioned, not interesting place to go, and do not have a correlation with the present.In fact the museum is a good place as a source of learning about human history and culture.This research try to build museum interactive edutainment (education and entertainment) application using mobile phone apps and QR code.This application will provide additional interactive information about the museum artefacts.Museum visitors could find this information by scan the QR code that attach to the museum artefact.The application will do the scanning process simply by using mobile phone camera.This QR code ID then sent to the server to receive artefact additional information such as text, image, sound, and video.This application already tested to 162 museum young visitors, the results is 75.9% respondents find that this application very interesting as a learning media.
The survey on rare association rule mining

The survey on rare association rule mining - To Analyze, manage and make a decision of such type of huge amount of data we
Research Summary on Implementing Functional Patterns by Synthesizing Inverse Functions.

In this research summary we present our recent work on implementing functional patterns with inverse functions in the lazy functional-logic programming language Curry. Our goal is the synthesis of the inverse of any given function in Curry itself. The setting of a functional-logic language especially allows the inversion of non-injective functions. In general, inverse computation is a non-trivial problem in lazy programming languages due to their non-strict semantics. We are so far able to directly derive the inverse function for a limited class of functions, namely those consisting of rules that do not involve both extra variables and non-linear right-hand sides. Because the synthesized definitions are based on standard code, known optimizations techniques can be applied to them. For all other functions we can still provide an inverse function by using non-strict unification.
The freedom to move around—Introduction of the Sonova real life lab

In experiments, control is everything. If parameters, procedures or the environment cannot be controlled thoroughly, any experiment lacks repeatability and hardly any findings can be generalized. In psychoacoustics and audiology research, important aspects of perception in real life are sacrificed in favor of control. The new “Real Life Lab” at Sonova allows audiological research to take a big step forward towards real life environments by bringing the freedom to move around in acoustic environments to controlled laboratory conditions. The lab provides a large stage where persons can move around freely, interact with acoustic or real objects, or with simulated or real people. The stage is surrounded by a framework of loudspeakers to present acoustic content from all directions and screens to present visual content in the horizontal plain. Any motion by persons on the stage can be tracked in real time with a motion capturing system. The motion capturing data can be passively tracked during any experiment or it can be actively used to alter or trigger audio and video reproduction. This contribution shows the technical capabilities of the lab together with some insights on the first experiment on the motion behavior in an orientation task in a complex acoustic environment.
Introduction to integrating web mining with neural network

Introduction to integrating web mining with neural network - The World Wide Web is huge,unstructured, universal and heterogeneous.
Diagnosis of Victims of Bullying Behaviour Using Bayes Method

Victims of bullying behavior in the first high school students are still going on and unresolved. Victims of bullying behavior that is not easily visible to the naked eye and the lack of knowledge about bullying are problems in resolving the problem. This research is to create an expert system that can diagnose victims of bullying behavior based on the symptoms suffered by the victims of bullying to address the problems faced during this time. The Bayes method describes the relationship between the probability of A with event B has occurred. The probability of event B on the condition of event A has occurred. The occurrence of an event based on the influence gained from the observation result, Like bullying symptoms that occur in victims of bullying behavior, the Bayes method will calculate the probability and generated types of bullying experienced by students based on the knowledge that is in the can of an expert and made into an application.
Las políticas públicas universitarias en el contexto de pandemia en la Argentina:: Apuntes para reseñar la situación

This article presents notes to contextualize the health emergency in the Argentine university setting. Observing the changes in distance education (EaD) in recent years, allows to redefine some limits, scope and tensions in the current situation. This work presents a descriptive character insofar as it does not attempt to delve into the conflict and consequences that the expansion of this distance modality brought in Latin America. The purpose of this work is to present, frame and place the EaD in the Argentine case to the year 2019. For this purpose, only normative and statistical aspects are presented and the main definitions, actions and political strategies in the field of higher education are specified in relation to the pandemic. For this, references have been taken from different authors and articles published about education against COVID 19.Based on these considerations, the work is organized into three sections. The first one refers to a definition and regulations of Distance Education at the Argentine university level. The second section presents the status of the higher education system based on official statistical data (MNE) on the offer of careers and students in face-to-face and distance mode. Finally, the main actions, programs and agencies that are involved are specified to give continuity of the academic cycle in the context of health emergency.
Survey on improving frequent pattern mining in spatial database

Survey on improving frequent pattern mining in spatial database - spatial database system as a database system that offers