Reviewerly/exHarmony huggingface dataset:
K-Anonymity Enhancement for Privacy Preservation with Hybridization of Cuckoo Search and Neural Network using Clustering

Expansion of social network and the publication of its data have directed the risk of disclosure of individuals’ confidential information. Privacy preservation is a must thing before service providers publish the network data. In recent years, privacy in social network data has become the most concerned issue as it has gripped our lives in a dramatic manner. Numerous anonymization methods are there that assists in privacy preservation of social networking and among all, k-anonymity is the utmost one that helps in providing the security by developing graph and nodes degree. In this manuscript, the enhancement of K-anonymity has been addressed with major changes in node editing methodology. The clusters are developed with the integration of the same degree in one group and the procedure is iterated till the identification of noisy data. An advanced Cuckoo Search is commenced for minimizing the node miss placement in groups. The results of the Cuckoo Search are integrated with Feed Forward Back Propagation Neural Networks to cross-check the structure and to reduce the node miss placement in groups. Average Path Length (APL) and Information parameters are measured for the evaluation and comparative analysis and the effectiveness of the research has been checked by comparing the results of Aanchal Sharma and P. R. Bhaladhare. There is a diminution of 14.6% while comparing APL with Aanchal Sharma and 8.61% and 10.38% of reduction is shown with Aanchal Sharma and P. R. Bhaladhare for Information loss.
Sense Theory. Sense Space

A purely sense-to-sense connection between two arbitrary objectswould allow trillions of other objects to be associated with eachother by their specific sense.The main benefit of the sense connection is still lost if an object ofcertain nature does not still have a property's association to even asingle another object (-s).We propose a new paradigm of a mathematical space that issense-centered and AI-focused in its nature. One of the mainpurposes of this space are to create an informational sphere for aa massive number of heterogeneous objects by the existed senserelationship between them.It may be extremely useful if a life event (behavior) in the future ofone person, say buying a car could be described by another lifeevent (behavior) in the past of another person, say the baby'sa birthday celebration or the properties of physical phenomena in thepast will trigger some actions in the future.
Native Hawaiian Library Services Grant (IMLS)

Federal Grants & ContractsVolume 44, Issue 2 p. 2-2 Grant Alerts Native Hawaiian Library Services Grant (IMLS) First published: 18 December 2019 https://doi.org/10.1002/fgc.30801Read 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume44, Issue219 December 2019Pages 2-2 RelatedInformation
Three-dimensional filters for multiview stereoscopic applications using layered depth images

&lt;p&gt;This thesis proposes an extension of two-dimensional (2D) spatial filtering into three-dimensions for multiview stereoscopic applications using the layered depth image (LDI) representation. The proposed filtering scheme takes advantage of the depth information available when an image is represented with layers, and can return results that are comparable to or better than 2D filtering techniques for smoothing or sharpening stereoscopic images. In addition, the proposed filtering scheme is more efficient for multiview stereoscopic applications using LDIs than conventional 2D filtering since the filter needs to be applied only once for &lt;em&gt;n&lt;/em&gt; views, whereas 2D filtering requires each view to be filtered separately (increasing computation time).&lt;/p&gt; &lt;p&gt;The proposed filtering method for smoothing stereoscopic images was also subjectively evaluated in a study involving 15 people. The results from this study indicated that the proposed filtering scheme received similar scores for both viewer comfort and naturalness when compared to the 2D bilateral filter.&lt;/p&gt;
Volume Introduction

This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. The book provides an overview of cross-disciplinary inquiry into sound design that transcends discursive and practical divides. It discusses the multisensory crosstalk between sonic, visual and even haptic dimensions of cinematic experiences and presents psychophysiological methods that measure listeners’ responses to sound in real time. The book covers techniques aimed at empirically measuring audiences’ emotional responses while undergoing audiovisual experiences. It examines the gamut of methods for conducting sound design research in the context of health, accessibility and disability. The book highlights the aesthetic dimensions of sonification, where design success has to integrate perspectives from auditory perception, data and musical structures. It explores the situation of the contemporary composer who has to invent the form anew for each composition. The book also presents an in-depth exploratory sequential mixed methods account of the experience of immersion and game play in interactive sound design.
Design principles for modern libraries (as exemplified by Interregional Center for Library Modernization)

The experience of Interregional Center for Library Modernization (ICLM) in transforming library spaces is discussed. ICLM is a unique research organization to support libraries’ technological and functional upgrade.
Game models in the technologies of labor protection training

Modern technologies are increasingly applied in all areas of human activity. The processes of training in the workplace are not left out either. Olga Olegovna Manakina, marketing specialist at 3M, responds to the questions of our journal about the use of gamification in the labor protection training of industrial workers.
Osmoflo is certified as successfully delivering desalination plant

Desalination and water treatment company Osmoflo has received a ‘Practical Completion Certificate’ for the successful delivery of a major desalination plant for Roy Hill Iron Ore Pty Ltd – a mining, rail and port operation located approximately 340 km (211 miles) south-east of Port Hedland in the Pilbara region of Western Australia.
A Rule-Based Approach for Multi-Perspective Adaptation of Service-Based Systems

A key feature of any business process (BP) implemented as service-based system (SBS) is adherence to compliance. BP workflows are frequently prone to faults or anomalies of various kinds namely, functional, temporal, structural, regulatory or technological updates. If faults are not handled in a timely manner, it may result in violation of service level agreements (SLAs). Therefore it is crucial for any BP to be flexible enough to adapt to changes of various categories. Current adaptation approaches try to adapt from either data (interface) mismatches from service perspective, temporal requirements from business perspective or resource constraints from the infrastructure perspective. We propose an adaptation framework which is capable of recovering from data, control-flow, temporal and infrastructure faults. The prototypical implementation using rule based approach is applied on a laboratory simulation.
Publisher’s Note in regard to: Challenges to developing time-based signal detection models for word production, <i>Royce Anders and F.-Xavier Alario</i>

"Publisher’s Note in regard to: Challenges to developing time-based signal detection models for word production, Royce Anders and F.-Xavier Alario." Cognitive Neuropsychology, 36(5-6), p. 225
Adding photographs.

<title>Abstract</title> This chapter shows how to insert photographic files into plots. The R base package does not have any tools for handling photographs, but recently Simon Urbanek has created the CRAN packages jpeg (which seems to work with most versions) and tiff (which allows importing and exporting some of the standard tiff file types), and displaying them on the console. Inevitably because there are various graphics devices used by different R versions on different systems there will probably have to be some fiddling with code to get the perfect output. It may be easier on a MacOSX, and PCs do not support some graphics features of tiff files.
Distribution and Mobility of Platinum-Group Elements in the Late Cretaceous Ni-laterite Soil in the Northern Oman Mountains

Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at Journal of Geophysical Research - Solid Earth. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Distribution and Mobility of Platinum-Group Elements in the Late Cretaceous Ni-laterite Soil in the Northern Oman MountainsAuthorsSalah A.Al-KhirbashiDAhmed H.AhmediDSee all authors Salah A. Al-KhirbashiDCorresponding Author• Submitting AuthorSultan Qaboos UniversityiDhttps://orcid.org/0000-0001-8467-4528view email addressThe email was not providedcopy email addressAhmed H. AhmediDFaculty of Earth Sciences, KAUiDhttps://orcid.org/0000-0003-4327-5330view email addressThe email was not providedcopy email address
E.B.C.D Apps

Breast cancer is a life threatening disease that occurs when an unconstrained and irregular breast cell develops. There are five stages of breast cancer where stage 0 is considered as the early stage since the cancer cells are not spread outside of ducts yet. In this stage, the early symptoms are possible to be detected and if it is swiftly diagnosed, the probability that the cancer to be successfully treated is very high. Breast Self Examination (BSE) is one of the recommended screening methods but it is reported to be confusing and inconsistent. This is because BSE only provide guidelines for breast examination. It does not give any result that user can rely on. Therefore, this research aims to develop a mobile application which applies fuzzy logic method and adopts BSE process to help a person diagnose the early stage of breast cancer.
Speech Recognition using Multiscale Scattering of Audio Signals and Long Short-Term Memory of Neural Networks

Communication is one of the key elements of interaction. In order to understand the audio language used by humans, machines use different techniques to convert speech to machine readable form called speech recognition. This paper takes one of the most classic examples of the speech recognition domain, the spoken digit’s recognition. The recognition is done with the help of a technique called wavelet scattering that initially extracts useful information from the signals and sends this information further to a Long Short-Term Memory (LSTM) network to classify the signals. A major advantage of using the LSTM is that it overcomes the vanishing gradient problem and this proposed technique can be used in applications like entry of numerical data for blind people. This method provides an increased accuracy than other standard methods that uses Mel-frequency Cepstral coefficients (MFFC) and LSTM network to recognize digits. The main objective of this work achieved its primary purpose to validate the efficiency of wavelet scattering technique and LSTM networks for spoken digits’ recognition.
Application of K-Means Algorithm to Mapping Poverty Outline by Province in India

India has a second largest population and seventh largest country in the world, the UN data in 2018 recorded that there were 1,368,681,134 more people scattered throughout the Indian provinces. In addition, India also has a variety of social problems, one of which is poverty. The poverty line number in Indonesia needs to be improved. Data utilization techniques become new information called data mining. One of the most popular data mining methods is clustering using the k-means algorithm. K-means can process data without being notified in advance of the class label. This study will produce three provincial groups according to very low, low and sufficient income figures. Data processing of poverty line numbers in India using the k-means algorithm to get the results of the Davies Bouldin index of 0.271. These results are considered well enough because the closer the results obtained with zeros, the better the data similarity between members of the cluster.
Iodine Deficiency Associated with Adolescent Cognitive Performance in Endemic Iodine Deficiency Endemic Area

ABSTRACT Background: Iodine deficiency is one of the most important public health problems in the world today, especially among children and pregnant women who are considered to be the highest-risk groups. These diseases hinder the socio-economic development of the affected areas. This study aimed to determine iodine deficiency associated with adolescent cognitive performance in endemic iodine deficiency endemic area. Subjects and Method: This is a cross-sectional study conducted in Bulu district, Temanggung. A sample of 120 adolescents range age 11-14 years old was selected by cluster sampling. The dependent variable was Cognitive performance. The independent variable was Iodine deficiency. The data were collected by questionnaire, measurement and assessment. This study was analyzed by multiple logistic regression. Results: On cognitive performance. Adolescent IQs are below average (69.2%), mathematics tests (64.2%), and Indonesian language tests are below average (47.5%). A total of (30.8%) adolescents showed insufficient iodine intake, goiter enlargement (30.2%), stunting (35%), and anemia (20.8%). The linear regression model on IQ showed goiter enlargement as a factor associated with decreased IQ, even after accounting for confounding factors (p = 0.013; R2 = 0.07). Subjects with goiter enlargement had lower mean IQ (Mean = 10.32). IQ was related to Indonesian achievement (p = 0.031; R2 = 0.13), while UIE (p = 0.031), father’s education (p = 0.011), and IQ (p &lt;0.001) were identified as factors related to math test scores (R2 = 0.23). after accounting for confounding factors. Conclusion: Iodine deficiency is negatively associated with cognitive performance in areas of endemic infested iodine deficiency. Goiter enlargement, which is an indicator of long-term iodine deficiency status, correlates with IQ. UIE, which reflects current indicators of iodine deficiency status, affects academic achievement. The cognitive impact of iodine deficiency lasts into adolescence. Therefore, ensuring adequate iodine intake in adolescents is essential to optimize their cognitive performance. Keywords: cognitive performance, iodine deficiency, early adolescence, nutrition, nutrition Correspondence: Leny Latifah. Research and Development Center for Health, Magelang, Central Java, Indonesia. Email: lenylatifah1@gmail.com DOI: https://doi.org/10.26911/the7thicph.05.24
Mentoring in Professional Education

The article reveals the main problems of organizing mentoring in a secondary vocational educational institution, suggests ways to solve these shortcomings on the example of the Novosibirsk College of Food Industry and Processing. The situation of staffing of regional enterprises is highlighted, mentoring is analyzed as the activity of educational institutions and enterprises in solving problematic issues related to providing enterprises with in-demand specialists. The promising areas of activity and efforts of employers and educational institutions in terms of introducing the institution of mentoring are determined and evaluated. The potential for improving the efficiency of the educational process as a priority task of modern society is analyzed.
AT&T Cybersecurity: The relationship between security maturity and business enablement

When you question cyber security practitioners about the specific dangers an organisation might face, or what countermeasures it should put in place, or how vulnerable it might be to a certain threat, an answer that crops up many times is, ‘It depends on the organisation's security maturity’. That's undoubtedly true and also, often, unhelpful.
Identity Obfuscation

In this age of identity attack vectors, protecting one’s identity cannot be done stand-alone. There are plenty of opportunities for a threat actor to steal your identity using the information technology that we embrace every day. We have covered that in detail. However, there is another mitigation approach called Privacy Filters that can limit a threat actor’s ability to create that critical linkage between account, identity, and data and craft identity obfuscation.
Long Method and Long Parameter List Code Smells Detection using Functional and Semantic Characteristics

Long-term evolution and maintenance of the software system result in the introduction of different kinds of code smell in the underlying source code of the software system. These code smells are the direct indication of degraded quality and increased understandability and maintainability efforts at the developer’s end. Identification of these symptoms (code smells) that affects quality is an important aspect of software maintenance. Therefore, this paper targets identifying two key code smells, namely Long Method and Long Parameter List. The presence of these code smells directly affects the understandability and reusability of the underlying code. The proposed Long Method code smell detection technique depends on four main criteria, the size aspect of the method, Cyclomatic complexity of the method, functional relatedness of the method, and the semantic relatedness among different statements of the method. The proposed functional relatedness aspect at the method level is based on the idea of usage patterns present in the method. These usage patterns help in predicting functionality of the method and are a direct indicator of the fact whether the method is uni- functional (performs a single task) or multifunctional (performs more than one task). The proposed semantic relatedness is based on the tokens extracted at the method level and represents the importance of semantic (underlying concept) aspects at the method level. The proposed approach for Long Parameter List smell detection is also based on two important aspects, namely the size of the parameter list and the complexity of the data types used in the parameter list. The proposed approaches of this paper are experimentally validated and tested against state of the art existing approaches/ tools. The obtained experimental results point to the accuracy and relevance of the proposed approaches.
Fuzzy Integrated Ontology Model of Dynamic Learner Profiling

In the context of lifelong learning, learner profile has emerged as a feasible model that support and promote the provision of lifelong learning opportunities. Learner profile describes the attributes and outcomes of education in a learning system. It includes information on learner’s gender, skills, education, interest, learning preferences, learning style, etc. This paper proposes an approach to construct a fuzzy based semantic learner profile in the promising technology of semantic web by using the concept of ontology and use it for the reasoning of learner preferences. The approach starts with the collection of learner’s static and dynamic data. The dynamic data of learner particularly learner interest and learning style are extracted by weblog analysis and using algorithms such as semantic based representation using WordNet and modified decision tree classifier with strong rules based on Felder-Silverman learning style model. The retrieved data is then used to construct learner profile using ontology in which automatic learner profile updating is obtained using ontology based semantic similarity algorithm. Finally to achieve semantic retrieval from learner profile ontology, fuzzy concepts such as fuzzy linguistic variable and fuzzy IF THEN rules are applied. Fuzzy linguistic variable facilitate semantic retrieval and more specific classification from learner profile ontology and fuzzy IF THEN rules predict the learning preference of new students based on the forward chaining reasoning process implemented in the existing ontology model. The final representation of semantic fuzzy ontology based learner profile improves the performance of tasks such as classification, semantic retrieval and prediction of learning preference to the new learners. The case study is conducted for the real-time learners involved in studying the courses registered in Moodle Learning Management System. The experiments were performed with NetBeans IDE, Jena framework and Protégé 4.2 beta editor. The experiments confirm that the proposed learner profile is a good representation of the learner's preferences.
Cyberinfrastructure for Emerging Science and Engineering Research (NSF)

Federal Grants & ContractsVolume 44, Issue 7 p. 3-3 Grant Alerts Cyberinfrastructure for Emerging Science and Engineering Research (NSF) First published: 29 February 2020 https://doi.org/10.1002/fgc.30939Read 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 No abstract is available for this article. Volume44, Issue75 March 2020Pages 3-3 RelatedInformation
MEDIA

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 57, Issue 9 p. 22892B-22893C Social and Cultural MEDIA First published: 21 October 2020 https://doi.org/10.1111/j.1467-825X.2020.09689.xRead 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume57, Issue9October 2020Pages 22892B-22893C RelatedInformation