Reviewerly/exHarmony huggingface dataset:
A YCSB Workload for Benchmarking Hotspot Object Behaviour in NoSQL Databases

Many contemporary applications have to deal with unexpected spikes or unforeseen peaks in demand for specific data objects – so-called hotspot objects. For example in social networks, specific media items can go viral quickly and unexpectedly and therefore, properly provisioning for such behavior is not trivial. NoSQL databases are specifically designed for enhanced scalability, high availability, and elasticity to deal with increasing data volumes. Although existing performance benchmarking systems such as the Yahoo! Cloud Serving Benchmark (YCSB) provide support to test the performance properties of different databases under identical workloads, they lack support for testing how well these databases can cope with the above-mentioned unexpected hotspot object behaviour. To address this shortcoming and fill the research gap, we present the design and implementation of a new YCSB workload that is rooted upon a formal characterization of hotspot-based spikes. The proposed workload implements the Pitman-Yor distribution and is configurable in a number of parameters such as spike probability and data locality. As such, it allows for more extensive experimental validation of database systems. Our functional validation illustrates how the workload can be used to effectively stress-test different types of databases and we present our comparative results of benchmarking two popular NoSQL databases that are Cassandra and MongoDB in terms of their response to spiked workloads.
From Seeing and Reaching to Hearing and Speaking

This far-ranging chapter provides unified explanations of data about audition, speech, and language, and the general cognitive processes that they specialize. The ventral What stream and dorsal Where cortical stream in vision have analogous ventral sound-to-meaning and dorsal sound-to-action streams in audition. Circular reactions for learning to reach using vision are homologous to circular reactions for learning to speak using audition. VITE circuits control arm movement properties of synergy, synchrony, and speed. Volitional basal ganglia GO signals choose which limb to move and how fast it moves. VAM models use a circular reaction to calibrate VITE circuit signals. VITE is joined with the FLETE model to compensate for variable loads, unexpected perturbations, and obstacles. Properties of cells in cortical areas 4 and 5, spinal cord, and cerebellum are quantitatively simulated. Motor equivalent reaching using clamped joints or tools arises from circular reactions that learn representations of space around an actor. Homologous circuits model motor-equivalent speech production, including coarticulation. Stream-shroud resonances play the role for audition that surface-shroud resonances play in vision. They support auditory consciousness and speech production. Strip maps and spectral-pitch resonances cooperate to solve the cocktail party problem whereby humans track voices of speakers in noisy environments with multiple sources. Auditory streaming and speaker normalization use networks with similar designs. Item-Order-Rank working memories and Masking Field networks temporarily store sequences of events while categorizing them into list chunks. Analog numerical representations and place-value number systems emerge from phylogenetically earlier Where and What stream spatial and categorical processes.
The Effect of Perceived Organizational Support on Employee’s Organizational Commitment and Employee Behavior. The case of a Construction Company in Erbil City, Kurdistan Region

Lately, Perceived Organizational Support, Organizational Commitment and Employee behavior have given much concentration. The aim of this paper is to analyze the effect of Perceived Organizational Support on Organizational Commitment, and Employee Behavior. According to the prior research, there are contradicting findings regarding the relationship and significant effect between the three variables mentioned. The strategy of this research is quantitative by using an online questionnaire consisted of three validated scales. The online questionnaire has been sent to employees’ emails of a constructioncompany in Erbil city. There are 64 properly filled online questionnaires have been received. The author has used Reliability test to determine the Cronbach Alpha of the scales, the Pearson correlations to measure the relationship and Linear Regression analysis to measure the effect of independent variable on the dependent variables. The results indicate that Perceived Organizational Support has a significant effecton Employee Behavior and Organizational Commitment. Moreover, the findings also indicate a strong relationship exists between Perceived Organizational Support and Organizational Commitment.
Configuring Your Development Environment

This book is about neural network processing using Java. Before we can start developing any neural network program, we need to learn several Java tools. If you are a Java developer and are familiar with the tools discussed here, you can skip this chapter. Just make sure that all the necessary tools are installed on your Windows machine.
Seawater salinity modeling using bivariate probit regression

Abstract Salt is one of the marine resources that is quite a lot needed as a supplementary food for the people of Indonesia. However, efforts to increase salt production have not been in demand, including in efforts to improve its quality, because many factors affect sea salt content or salinity, including the evaporation process, location and size of the sea, wind, air humidity and sea water temperature in this study are expected to produce the best salinity modeling by taking into account the factors that affect salinity. In this study, the method used was probit bivariate. The parameter estimation method used in the bivariate probit is the Maximum Likelihood Estimation (MLE). After the initial bivariate probit regression model is formed, then testing is carried out to determine the significance of each predictor variable to the response variable. After that the model that is formed identifies the criteria of goodness using the smallest Akaike Information Criterion (AIC) value of -9.03 so that the modeling results are good.
8x8 Programmable Many-Mode Interferometer Operating with Visible-Wavelength Piezo-Cantilever Modulators

We report a visible-wavelength, programmable 8x8 many-mode interferometer based on silicon nitride waveguides and piezo-cantilever optical phase-shifters with sub 1-μs response times to address applications in photonics and quantum technologies.
User arrival rate dependent profit maximisation of web application deployment on cloud

The user arrival rate dependent profit maximisation is derived for cloud service provider (CSP) when web applications are deployed on the cloud for various instances of VM's operated using multi server queueing model. For any web application deployment on cloud, investigating the influence of user arrival rate to ensure accurate and productive usage of data to attain maximum profits is necessary. This paper is to find the profit maximisation with user arrival rate, keeping in mind the view of the dynamical changes of user requirements and attraction of the charges. The user request rate is independent of the configurable parameters like buffer size, number of VM's, and speed of the VM. To reach this objective, the finite multi-server profit queuing model is adopted and derived maximum profit through partial derivative with combination of bisection search method. Then sensitive analysis is processed and numerical illustrations are presented.
THE CONCEPT «BRAIN-PSYCHE-(MIND/CONSCIOUSNESS...)» AND THE QUESTION OF HYPERTHEORY OF THE CONCEPT

In the context of research on problematization of human, the aspect of the human essence in a human is emphasized and the need to develop a hyper-level theory of the concept of «brain-psyche-(mind/consciousness...)» as a natural phenomenon in human life is proposed. We consider this phenomenon and, therefore, the concept, as non-linear macro-/hyperintegrity (holism). The basis for such an idea — the idea of hypertheory of the concept of «brain-psyche-(mind/consciousness...)» — is that the brain and the psyche, being components of the concept , are considered and investigated by specialists, including us, as an environment/system of synergistic order in whose behavior self-organization, chaos and dissipation play a controlling role. The brain and the psyche, included in the concept, are non-linear by definition. The fact that the issues of integrity are currently in the focus of research attention is due to transdisciplinarity as a new, deeper level of integration, which implies not only convergent penetration of scientific methods and disciplines but also the creation of such cognitive situations in which the scientific mind is forced to make the transition to practical life in search of integrity. In addition, it becomes relevant to search for theoretical-methodological research tools adequate to phenomena of this class for their description as nonlinear integralities of a given level of complexity. It is understood that the human brain and mind, in the unity of their activities throughout human life, express some indivisible unity. One of such tools is the conceptual model (philosophical category) «the Whole in the Whole», which includes integrity, nonlinearity and complexity, making it possible to consider the presented macro-/hyperintegrity in an integral unity. The article analyzes one of the aspects of the concept of «brain-psyche-(mind/consciousness...)» related to chaotization, which is inevitable in its non-linear behavior and which shows that both brain and psyche are continuously changing entities: from structure and system to the manifestation of the quality of environment and dynamic chaos. Their non-equilibrium and extreme non-equilibrium are prerequisites for their survival.
Investigating the Impact of Cybersecurity Culture on Employees’ Cybersecurity Protection Behaviours: A Conceptual Paper

As technology and digital applications increase in volume and complexity, organization is facing greater security risks in cyberspace more than ever before. However, organizational cybersecurity requires more than just the latest technology. All the technology available to secure systems will not keep an organization secure if the people in the organization make bad or unexpected decisions that open up the system to attackers. To secure an organization, all employees of the organization must act positively to reduce company risks from cyberattacks. All leaders have a main responsibility to understand and align with the entire organization with cybersecurity objectives. Leaders need to keep continue to invest in security technologies and also need practical solutions for dealing with the human error of cybersecurity. The conceptual paper presented in this paper describes cybersecurity culture, external influencing factors, and organizational mechanisms, the elements that contribute to each employee of the organization that having protection behaviour from cyberattacks.
Improved Real time Signboard Detection and Translation Using FRCNN

In India, majority of people are speaking the language Hindi, but a major portion of signboards are in English. On a business or pleasure trip, the travelers get confused by the various sign boards written in English. As smartphones becomes most popular inrecent years,they canrely on smartphone for the same. This paper explains the work intended to build a mobile application that can recognize the English content and sign present on the signboard image, detect and translate the content and symbols from English to Hindi and display the translated Hindi text back to the screen of the phone. The system uses pre-trained faster regional convolutional neural networkusing pre-trained CNN for object detection, tesseract OCR for text extraction and English-to-Hindi dictionary for translation.
Information Sharing and Privacy Protection of Electronic Nursing Record Management System

The traditional centralized storage of traditional electronic medical records (EMRs) faces problems like data leakage, data loss, and EMR misplacement. The current protection measures for patients’ privacy in EMRs cannot withstand the fast-developing password cracking technologies and frequency cyberattacks. This paper intends to innovate the information sharing and privacy protection of electronic nursing records (ENRs) management system. Specifically, the signature interception technology was introduced to EMRs, the different phases of certificateless signature interception scheme were depicted, and the validation procedures of the scheme were designed. Then, the six phases of ENR information sharing protocol based on alliance blockchain were described in detail. Finally, an end-to-end memory neural network was constructed for ENR classification. The proposed management scheme was proved effective through experiments.
Exhibit 11: ADEA Position Papers

Journal of Dental EducationVolume 84, Issue S1 p. S119-S133 EXHIBITS Exhibit 11: ADEA Position Papers First published: 26 July 2020 https://doi.org/10.1002/jdd.12282Read 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 onEmailFacebookTwitterLinkedInRedditWechat Volume84, IssueS1Supplement: ADEA ANNUAL PROCEEDINGSJuly 2020Pages S119-S133 RelatedInformation
Usability Evaluation of COVID-19 Mobile Apps Using SUS

&lt;div&gt;The whole world is going through an unprecedented crisis in the wake of the&lt;/div&gt;&lt;div&gt;Coronavirus disease (COVID-19) outbreak resulting in lockdowns and imposing&lt;/div&gt;&lt;div&gt;restrictions on economic activities. Governments are leveraging technology for&lt;/div&gt;&lt;div&gt;identifying, monitoring, tracking, and containing active cases using mobile apps. Many&lt;/div&gt;&lt;div&gt;countries have developed and deployed COVID-19 mobile apps to track patients, trace&lt;/div&gt;&lt;div&gt;contacts of infected people, and provide services and facilities medicines to needy&lt;/div&gt;&lt;div&gt;people. Indian government developed the “AarogyaSetu” app to track infected patients.&lt;/div&gt;&lt;div&gt;However, the utility of these apps, their effectiveness, their usability score raises many&lt;/div&gt;&lt;div&gt;open questions. A description of usability, usability attributes, and usability evaluation&lt;/div&gt;&lt;div&gt;methods for such apps are presented in this chapter. The chapter also covers the results&lt;/div&gt;&lt;div&gt;of practical experiments due to COVID-19 mobile apps from different countries and&lt;/div&gt;&lt;div&gt;different apps developed by various states in India and shows the calculated usability&lt;/div&gt;&lt;div&gt;score. This chapter will help the reader to understand the usability of COVID-19&lt;/div&gt;&lt;div&gt;mobile apps. A questionnaire collects usability attributes like efficiency, effectiveness,&lt;/div&gt;&lt;div&gt;user satisfaction, user feedback, etc. In the questionnaire, usability evaluators prepared&lt;/div&gt;&lt;div&gt;ten questions about each attribute, each question having five responses from strongly&lt;/div&gt;&lt;div&gt;agree to strongly disagree. These responses are evaluated and used to calculate the&lt;/div&gt;&lt;div&gt;app&#039;s usability score using the System Usability Scale (SUS) tool. Using this score will&lt;/div&gt;&lt;div&gt;help governments and organizations identify problem areas and improve the usability&lt;/div&gt;&lt;div&gt;score.&lt;/div&gt;
Beyond Aloha

Native Hawaiian epistemology proposes that all learning and skill acquisitions are embedded within phenomenological rich and embodied experiences in the world and that human attention, awareness and knowledge arise out of interactivity and connectedness with others, land and ancestors (Meyers, 2003). Practicing aloha, in conjunction with mindfulness, may promote an awareness of interdependence that can be extended from the individual world to all members of the community through the introduction of Native Hawaiian worldviews. Despite the burgeoning interest in mindfulness, one of the most common criticisms in the current mindfulness movement is the minimal integration and discussion of ethics and virtues (right thought, speech, and action) in mindfulness practice (e.g., Grossman & Van Dam, 2011; Purser, 2019; Walsh, 2016). Most current mindfulness programs and training do not include an explicit ethics or values component. The Mindfulness and Skillful Living course is a 3-credit undergraduate course that incorporates both the historical foundation of mindfulness (Buddhist perspective) and cultural, place-based relevant ethics and virtues (aloha in Hawai'i) as integral components of the mindfulness practice. This chapter explores the teaching and development of mindfulness among students at the University of Hawai'i, Mānoa.
Paraphrase Recognition using Predicate Argument Structure Representation

One of the tasks that make Natural Language Processing applications challenging is Paraphrase Recognition which is the establishment of semantic equivalence between two text units.A popular approach adopted in Paraphrase Recognition, is the usage of symbolic meaning representations as intermediate forms.In this work, Predicate Argument Structures (PAS) have been explored for the task of Paraphrase Recognition.The performance of the system was evaluated on the Microsoft Research Paraphrase Corpus and was found to be superior to existing approaches when the PAS based system was enhanced by using a table of equivalent phrases.
Device Information

Abstract Chapter 10.1007/978-1-4842-5574-2_2 introduced us to the mechanisms that direct work to a particular device—controlling where code executes. In this chapter, we explore how to adapt to the devices that are present at runtime.
At the Interface: Opening a Debate on the Future of Interfaces

"Human-machine interaction (HMI) is a multilayered discipline that includes the study of human factors, engineering and interaction design. By its own definition HMI brings together heterogenous design challenges that cross multiple domains. Radical innovation in the field of machine learning, material science, manufacturing processes, sensing and actuating systems are rapidly transforming the way we interact with technology: computers are disappearing into everyday objects, products and systems are becoming more autonomous and proactive, and new interaction techniques are able to capture the richness of the human body expressivity. In this paper, we propose the interface as the material and conceptual place where the novel challenges of HMI should be addressed and solved. Our goal is to open a debate on the centrality of the interface design in industrial design and on the establishment of a multidisciplinary framework to synthesize technological, cognitive, social, cultural, and economic instances. "
Silicon Photonics for Neuromorphic Computing and Artificial Intelligence

Neuromorphic photonics exploit optical device physics for neuron models, and optical interconnects for distributed, parallel, and analog processing for high-bandwidth, low-latency and low switching energy applications in artificial intelligence and neuromorphic computing.
Out with the Old, In with the New: Examining National Cybersecurity Strategy Changes over Time

The development and implementation of a national cybersecurity strategy (NCS) is becoming increasingly common for countries around the world that seek to define an approach for addressing their cybersecurity risks.Although past research has sought to classify the individual characteristics contained within an NCS, it remains unclear how the core content within a strategy evolves over time in the face of new cyber threats and fluctuating priorities.By better understanding such changes (and their underlying drivers), policy makers can be increasingly attuned to essential NCS updates and citizens can more readily evaluate the adequacy of their country's plans.This study examines multiple NCS versions in Canada, the United Kingdom, and Australia using a qualitative, content analysis approach.Our results point to four core themes that characterize NCS stability and change over time.Based on our observations, we articulate several theoretical propositions and outline a plan for future research.
Assessing the Preparedness to Work in an Active Company on the Basis of Sociological Research

Based on the statistics, because of the survey of Novosibirsk region residents, we studied data on personal readiness for activity in work, to flexibility, to adaptability. Employees should be able to assess the real situation, and should be able to be creative. Businesses are moving to a flexible organization, flexible working conditions. It is increasingly worrying workers and businesses. The article takes on special relevance in the context of the search and activation of new sources of economic development with the introduction of a new methodology for the management of Agile. The assessment was satisfactory. Self-assessment of the potential of workers has been reasonable. The level of independence was adequate. The desire to participate in a new type of economy with commercialization is unsatisfactory. The desire to participate in scientific developments, discoveries, inventions is unsatisfactory. The validity of the study's findings is based on self-assessments of ability, preparedness (competence) and desire (motivation) activities, mainly for work and continuous education.
HOMOMORPHIC OPERATIONS WITHIN IDEAL LATTICE BASED ENCRYPTION SYSTEMS

By 2009 the first system of fully homomorphic encryption had been constructed, and it was thought-provoking for many future works based on it. Instead of legacy encryption systems which depend on sharing a key (public or private) among endpoints involved in exchanging en encrypted message the fully homomorphic encryption can keep service without depending on shared keys and does not necessarily need to access the content. Such property allows any third party to operate on the encrypted data without decrypting it in advance. In this work, the possibility of using the ideal lattices for the construction of homomorphic operations is researched with a detailed level of math.The paper represents the analysis method based on the primitive of a union of ideals in lattice space. A segregated analysis between homomorphic and security properties is the advantage of this method. The work will be based on the analysis of generalized operations over ciphertext using the concept of the base reducing element which shares all about the method above. It will be shown how some non-homomorphic encryption systems can be supplemented by homomorphic operations which invoke different parameters choosing. Thus such systems can be decomposed from ciphertext structure to decryption process which will be affected by separately analyzed base reduction elements. Distinct from the encryption scheme the underlying math can be used to analyze only the homomorphic part, particularly under some simplifications. The building of such ideal-based ciphertext is laying on the assumption that ideals can be extracted further. It will be shown that the “remainder theorem” can be one of the principal ways to do this providing a simple estimate of an upper bound security strength of ciphertext structure.