Reviewerly/exHarmony huggingface dataset:
Future Trends and Developments

In this chapter, a possible outlook into the future is provided. Considering the newest technology on the market in the young research field of AAL (see Chapter 4), and the youngest research projects (see Chapter 5), new possibilities will exist in the future design of buildings. Buildings mainly consist of four walls and a ceiling, with water and electrical supply. However, with increasing demand for assistive technologies, and with an increasing technology readiness level (TRL) [187] for assistive technologies, there will be a time when this new technology approach will fuse with future building design and construction.
Idiomatic Python

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Bibliography

chapter Share on Bibliography Authors: Laleh Jalali University of California, Irvine (UCI), Hitachi America Ltd. University of California, Irvine (UCI), Hitachi America Ltd.Search about this author , Ramesh Jain University of California, Irvine (UCI) University of California, Irvine (UCI)Search about this author Authors Info & Claims Event Mining for Explanatory ModelingMay 2021 https://doi.org/10.1145/3462257.3462266Published:20 May 2021Publication History 0citation2DownloadsMetricsTotal Citations0Total Downloads2Last 12 Months1Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Intuitionism and the Sorites Paradox

The vagueness-intuitionist credits epistemicism with a crucial insight, namely that vagueness is a cognitive, rather than a semantic phenomenon: the vagueness of the distinction between, say, yellow and orange consists in our inability to, so to speak, bring those two concepts up against one another to mark a sharp and stable boundary. The chapter proposes a knowledge-theoretic semantics for a first-order logic of vagueness that respects this conception of the nature of the phenomenon. The semantics diverges from traditional intuitionist-style semantics (Heyting, Beth, Kripke) in the treatment of negation, taking the idea of incompatibility between atomic vague predications as primitive, and setting the negation of atomic A as acceptable just when some statement is acceptable which is incompatible with A. It is shown how a semantics based on this idea vindicates an intuitionist-style repudiation of the principle of Bivalence and thereby the law of excluded middle, and thus enables the reasoning of the Sorites Paradox to go through as a demonstration of the negation of its major premise without thereby incurring the unwelcome implication, sustained by classical logic, of the existence of a sharp boundary to the extension of the relevant predicate.
Opinion Summarization and Search

As discussed in Chapter 2, in most sentiment analysis applications, one needs to study opinions from many people; due to the subjective nature of opinions, looking at only the opinion from a single person is usually not sufficient. To understand a large number of opinions, some form of summary is necessary. Definition 2.10 in Chapter 2 defined a structured opinion summary called aspect-based summary, also known as feature-based summary in the reports by Hu and Liu (2004) and Liu et al. (2005). Much of the opinion summarization research is based on this definition. This form of summary is also widely used in industry. For example, both Microsoft Bing and Google Product Search use aspect-based summary in their opinion analysis systems.
Policy Matters in Science and Development

Since independence, Africa has undertaken the responsibility of formulating science policies for its countries. The chapter reviews science policies in African countries to see how these are part of individual national development policies, programmes and strategies. Science policy has an overarching purpose of growth, rational management of resources, implementation of strategies, monitoring and evaluation. In Africa, policy development in science, technology and innovation is still an underdeveloped or developing area. The integration of policy and development was lacking in several African countries. Without a policy in place, science cannot be expected to grow or contribute to national development. This has however been addressed in recent years as countries now realise its importance. A welcome indicator in Africa is that countries and their political leaderships have acknowledged the urgency of a science policy for overall development, and any failure and delay can have corresponding effects on national development. At the same time, the policies, strategies and plans followed in Africa are not infallible and more attention is required. The challenge for Africa is to ensure that policymaking is an ongoing process that takes into account the changes that occur in science, technology and innovation in Africa and the rest of the world.
Document Sentiment Classification

Starting from this chapter, we discuss the main research topics of sentiment analysis and their state-of-the-art algorithms. Document sentiment classification (or document-level sentiment analysis) is perhaps the most extensively studied topic in the field of sentiment analysis so far, especially in its early days (see the surveys by Pang and Lee, 2008a; Liu, 2012). It aims to classify an opinion document (e.g., a product review) as expressing a positive or a negative opinion (or sentiment), which are called sentiment orientations or polarities. This task is referred to as document-level analysis because it considers each document as a whole and does not study entities or aspects inside the document or determine sentiments expressed about them. Arguably, this task is the one that popularized sentiment analysis research. Its limitations also motivated the fine-grained task of aspect-based sentiment analysis (Hu and Liu, 2004) (Chapters 5 and 6), which is widely used in practice today.
New Aadhaar with Multimodal Biometric Model-Based E-Voting System with Dynamic Hybrid IANFIS-PSO

This work deals with the E-voting system with a biometric concept that will make the voting system smart, secure and easy to vote which can be linked with Aadhaar card. While the process of doing the Aadhaar enrolment process Authorities gathered information of fingerprints and iris of every character and this whole fact of every person persists in the Indian government database. However these two biometric is not enough for the voter authentication process, besides improving the recognition rate, combining multimodal biometric modalities might be more appropriate for E-voting applications. If the Indian Government link this database to the voter ID present in these days vote casting gadget, then all of us can easily forge their votes the use of multimodal biometric authentication. With this motivation, the new Aadhaar with multimodal biometric-based E-voting systems (AMBEVS) system is designed in this work and it allows users to be confirmed using either modality. Here the validation of the voters is verified with the use of Dynamic Hybrid ANFIS-PSO. A critical function and objective of the proposed gadget are to decorate the photograph high-quality and low diploma of complexity for the security of multimodal biometric reputation frameworks. The experimental results show that the proposed AMBEVS are more robust, reliable and accurate as compared to the unimodal based biometric systems.
Analogy as Structure Mapping

In this chapter, we consider a computational-level theory of analogy derivation as structure mapping. We again illustrate the use of classical complexity analysis to assess the theory's intractability. In addition, we show how parameterized complexity analysis can be used to formally assess intuitive conjectures about possible sources of this intractability. This illustration demonstrates that such intuitions can often be wrong, underscoring the importance of formal analyses.
Introduction

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Asymptotic VB Theory of Mixture Models

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More Modelling Exercises

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Robust Speaker Verification

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Introduction and Motivation

In 2012, an employee working on Bing, Microsoft’s search engine, suggested changing how ad headlines display (Kohavi and Thomke 2017). The idea was to lengthen the title line of ads by combining it with the text from the first line below the title, as shown in Figure 1.1.
Unified Theory for Latent Variable Models

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Coherence as Constraint Satisfaction

In this chapter, we consider a computational-level theory of coherence as constraint satisfaction. We illustrate the use of classical and parameterized complexity analysis to assess the theory's (in)tractability and identify some of its sources of intractability.
Detecting Fake or Deceptive Opinions

Opinions from social media are increasingly used by individuals and organizations for making purchase decisions and making choices at elections and for marketing and product design. Positive opinions often mean profits and fames for businesses and individuals. Unfortunately, that gives imposters a strong incentive to game the system by posting fake reviews or opinions to promote or to discredit some target products, services, organizations, individuals, and even ideas without disclosing their true intentions, or the person or organization for which they are secretly working. Such individuals are called opinion spammers and their activities are called opinion spamming (Jindal and Liu, 2007, 2008). An opinion spammer is also called a shill, a plant, or a stooge in the social media environment, and opinion spamming is also called shilling or astroturfing. Opinion spamming can not only hurt consumers and damage businesses, but also warp opinions and mobilize masses into positions counter to legal or ethical mores. This can be frightening, especially when spamming is about opinions on social and political issues. It is safe to say that as opinions in social media are increasingly used in practice, opinion spamming is becoming more and more sophisticated, which presents a major challenge for its detection. However, such offenses must be detected to ensure that social media continue to be a trusted source of public opinions, rather than being full of fakes, lies, and deceptions.
Designing Enterprise Architecture toward Big Data readiness using TOGAF ADM in the public health sector

In the pandemic Covid-19, public health sector is the key for managing national health care. According to Ministry of health(MoH) data, there are 9.993 public health service institution (puskesmas) that spread across Indonesia district level. In this study, we focus on puskesmas as the representative of Ministry of health (MoH). Most of the operations and data taken from the public health center such as patients data, health record data, pharmacies data, and more. The Ministry of Health is responsible for many sectors such as health and drug regulation, health service and equipment, illness, pandemic management, health institution, and so on. Responding to numerous roles above, Information Technology is mandatory for all division in the MoH. However, there are hundreds silo applications has been developed in the Ministry of health. As the consequence, puskesmas should operate many applications. In this study, we conduct an empirical study to design an enterprise architecture on data integration and big data using real cases in the Ministry of health. TOGAF ADM Version 9.2 is used to unearth current condition and set the vision that measures the readiness for implementing Big Data technology. We conduct interviews with management and technical staff to analyze the issues and desirable state, and then conduct gap analysis. Our study provides a systematic transformation for big data analytics in public health services to increase competitive advantage in the public health sector. Furthermore, the challenges are hundreds of applications has been running, lack of regulations, and an information technology roadmap, and the absence of software documentation. Our study defines the data mart architecture as a proposal for implementing big data as an interoperability tool to generate a consistent data. Data regulation and standard protocol must be defined clearly
Professional Identity of Young Teachers in the Structure of the Regional Educational Cluster

The development of a young teacher is always associated with the formation of the professional identity. This process is considered to be a long-term, complex and dynamic. There is a need for an organizational and substantive study of the resource provision of the process of forming the professional identity of young teachers.In this regard, the problem of our research is that it is necessary to develop the professional identity of young teachers in the conditions of a regional educational cluster. This has allowed us to formulate the goal of our research. The purpose of the study is to substantiate the systemic and functional capabilities of the regional educational cluster in the development of the professional identity of teachers.In order to test the hypothesis about the systemic and functional capabilities of the regional educational cluster, such methods as theoretical (this is the analysis of scientific literature on the problem of developing the professional identity of young teachers; studying and summarizing the experience of creating an educational cluster), empirical (this is the observation, survey and testing) and methods of mathematical processing of the obtained data were used.The empirical study was carried out on the basis of secondary schools in the city of Kaliningrad, which are the subjects of the regional educational cluster. In the process of diagnostics, we have studied the following: the formation of the self - awareness as a subject of the professional interaction; understanding the value of the profession as an important component of life-meaning orientations and readiness to independently implement the strategy of professional self-determination and development.The obtained results can be useful to the specialists in the field of management in the design of educational projects that are aimed at improving the professional activities of young teachers.
Built Environment Upgrading for AAL (BeuAAL)

As society ages, the building stock needs to be upgraded. A proper Ambient/Active Assisted Living (AAL) implementation needs a holistic approach; consequently, the environment itself needs to be adapted to the new needs of its inhabitants. Spatially and functionally, homes, and generally the built environment, may not meet the requirements of the elderly anymore. Demographic changes and the effects of an aging society also affect buildings and the built environment. Rapid refurbishment processes, quick adaptation protocols, and appropriate maintenance procedures become a necessity in order to not disturb the elderly and provide them with comfortable and functional homes and spaces. This is the main motivation behind the message of this chapter, which deals with the issue of how to adapt the living built environment for the elderly by use of fast and unobtrusive procedures. Moreover, a method for the assessment of strategies for built environment upgrading for AAL (BeuAAL) in early stages is presented. This chapter will help encouraging several stakeholders to accomplish building renovations for the elderly using robotics and automated tools.
Dimension Reduction and Data Augmentation

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Supplemental material: The Confusion Range, west-central Utah: Fold-thrust deformation and a western Utah thrust belt in the Sevier hinterland

Geosphere, February 2014, v. 10, p. 148-169, doi:10.1130/GES00972.1, Plate 3 - Cross section of the north central Confusion Range, B–B′.
Effectiveness of Personalized Virtual Reality with Game Components Behavioral Intervention on Smoking Cessation

Smoking is gradually becoming a concern for most people due to its harm to the lungs, heart, and immune system.Psychological approaches such as cognitive behavior therapy, cue exposed therapy, behavioral change techniques, and motivational interview, are mainstream to treat smoking addiction.However, relapse after quitting smoking is still a significant issue for conventional treatment.Virtual reality (VR) technology is gradually becoming a tool to facilitate behavior therapy toward smoking cessation, but it does not significantly increase the treatment's effectiveness.This paper analyses the potential effectiveness of VR-gamification in quitting smoking, and a literature review is used to analyze this topic.In this paper, the author proves that adding game elements to the treatment could promote the user's self-efficacy and motivation to quit smoking.With the flow features applied in the game, the user could have a sense of their ability compared to game difficulty.This would make the user feel that they are having fun and that they are engaged and challenged.It would therefore inhibit the user's dropout rate.Additionally, gamification should include personalization, social support, a meaningful frame, a user-centered design, and emotion and enjoyment to facilitate further intrinsic motivation to quit.
Retraction: Underwater cable monitoring system using Bot (J. Phys.: Conf. Ser. 1916 012051)

This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation. IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process. IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further. [1] Cabanac G, Labbé C and Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022
DEVELOPING THE COMPETENCIES FOR ORGANIZING EXPERIENTIAL ACTIVITIES FOR VIETNAMESE STUDENT TEACHERS

Developing the competencies for organizing experiential activities for student teachers at Vietnamese universities is considered an urgent requirement to meet the mission of implementing the General Education Curriculum 2018. This article presents a theoretical study to identify some basic issues about the competencies for organizing experiential activities for student teachers. The concept of competencies for organizing experiential activities for students has been analyzed from the perspective of education. In addition, the framework of competencies for organizing experiential activities for students includes the following groups: competencies for planning, competencies for implementing plans, and competencies for testing and evaluating experiential activities. The skills development process is influenced by many different factors, including biological and environmental elements as well as educational and personal activities. In universities of education, the development of students’ competencies for organizing experiential activities can be done through the following forms: pedagogical subjects, skills training programs, pedagogical internships (practicum), collective activities, and self-development. The results of this study can be a reference for Vietnamese universities of education in revising their training programs in the current period.
Retraction: Optimization of Fuzzy Model for Signed Distance Method (J. Phys.: Conf. Ser. 1916 012123)

This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation. IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process. IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further. [1] Cabanac G, Labbé C and Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022
The Role of Experience, Knowledge, Time Pressure and Risk on Sampling Method in Audit

Objectively, this study examines the conceptual model related to the use of sampling methods empirically in audit cases. Investigates the relationship between the conceptual model in using the sampling method from the aspects of auditor knowledge, auditor experience, time adequacy, and risk considerations. This study involved a sample of 107 auditors from various categories of available positions at the Supreme Audit Agency. This study's independent variables include auditor knowledge, experience, time pressure, and audit risk. Simultaneously, statistical sampling methods are the dependent variable for empirical testing, namely, using a linear regression approach with SmartPLS as a statistical tool. The four hypotheses' test results show that all independent variables positively and significantly affect the variable using the sampling method for audit purposes. Audit risk considerations are the most influential variable and the dominant reason the auditor uses the sampling method to present the audit report. We highlight that the time pressure factor is a variable that is so dominant that it correlates using the sampling method for an audit report so that the assumption of an auditor's experience and knowledge can be optimal in presenting an audit report as long as technical constraints such as time-pressure are also flexible and rational.