Reviewerly/exHarmony huggingface dataset:
Advancing Research on Identity Threats in the Modern Organization

The papers in this symposium share the aim of advancing research on the identity threats individuals encounter in organizations. Utilizing qualitative and quantitative approaches, the papers in this symposium address three important limitations of current research on identity threats. Specifically, the first presentation provides an empirical investigation of the proposition that employees respond differently when a highly salient identity is threatened as compared to a less salient one, thereby addressing the lack of tests of existing models. Answering the call for the development of quantitative measures to capture identity-implicating experiences (Caza et al., 2018), the second paper presents the validation of an identity threat scale. The last two papers focus on the experience of individuals who are aware that they pose a threat to others and therefore adjust their behavior to deal with the situation and salvage their outcomes. The third paper studies how people from minority groups develop strategies to be less threatening to dominant group members and subsequently improve their career outcomes in organizations. The fourth presentation describes the various coping responses that organizational gig workers – employees who engage in gig work within organizations – put into place to manage organizational insiders’ perceptions and improve their standing in the organization. Together, the four papers in this symposium add to our understanding of the subjective experience of the modern workplace. When is a threat more or less of a threat? Threat Sensitivity, Withdrawal, and Antisocial Behaviors Presenter: Hana Johnson; Washington State U. Presenter: Elizabeth Eve Umphress; U. of Washington Presenter: Jay Bates; Washington State U. Presenter: Shaun Parkinson; Washington State U. Development and Validation of an Identity Threat Scale Presenter: Mailys George; IESE Business School Presenter: Karoline Strauss; ESSEC Business School Presenter: Julija Mell; Erasmus U. Rotterdam Presenter: Heather Ciara Vough; George Mason U. Does the Deferential Black Man Get to Lead? Deference and Race in the Workplace Presenter: Camellia Bryan; Schulich School of Business Presenter: Chris Bell; York U. Presenter: Caren Colaco; Schulich School of Business, York U. Presenter: Andreja Stajduhar; Schulich School of Business, York U. Managing the Identity Challenges of Organizational Gig Work Presenter: Philip Rogiers; KU Leuven
Ontology-Based Transformation and Verification of UML Qualified Association

UML class model is an essential element of today's software development process. In modern software development methodologies, it is considered a key contributor in every phase of software development. It may be automatically converted into other UML models and even in programming code. However, the erroneous model generates other erroneous models. The model verification technique checks the presence of error in the UML class model. This paper's main objective is to introduce a technique for the completely automatic and expressive transformation of the UML class model's qualified association into ontology. Because the current verification method does not support the transformation and verification of qualified associations. Later on, the ontology-based reasoning method is presented to verify qualified associations and their constraints.
Implications of the Muon Anomalous Magnetic Moment for 3-3-1 Models

Currently, studying the effects of new particles contributing to muon anomalous magnetic moment ( -2) through virtual loops as evidence for new physics beyond the standard model attracts high interest.Therefore, we present the results of the Implications to g-2 to five models based on the gauge symmetry SU(3) C × SU(3) L × U(1) X (3-3-1), widely detailed in the article [1].We consider a current and projected accuracy to the g-2 experiment at FERMILAB to analyze these implications.In this way, we obtain the new and gauge bosons' lower mass bounds in models 3-3-1 that contribute to the muon anomalous magnetic moment.Then, discuss like the analyzed models could accommodate -2 according to the LHC bounds.
One Day in the Life of a Persona – A Framework to Define Mobility Agendas

This paper extends the approach of personas in public transport with a framework to define different mobility agendas. These mobility agendas aim to support the development of mobility information systems and mobile applications, in general, by strengthening the understanding of different mobility behaviors in combination with the advantages of personas. The presented results are based on a representative broad dataset and the analysis of agenda items in daily life. The described approach consists of three steps, which provide the necessary variables and values, as well as patterns to describe mobility agendas.
Analysis of the Impact of New Energy Access on Smart Distribution Network Operation Based on Deep Learning Technology

In order to objectively understand the effects of new energy access for smart distribution network operation, this article, taking the analysis of deep learning technology, this paper mainly introduces the basic concept of deep learning technology, new energy and the relationship between the intelligent distribution network, the combined with deep learning technology to establish relevant system, and then through the system to analyze the influence of the new energy access, finally puts forward relevant Suggestions. The system in this paper can be used to analyze the influence of new energy access, and then the influence can be eliminated to a large extent through strategies, so that new energy can be smoothly connected to the smart distribution network, which is more conducive to the role of new energy.
Can Adaptability be Developed? The Perspective of Cognitive Psychology and Neuroscience.

In this symposium the focus will be on individual adaptation in the context of organizations, also referred to adaptability (Ployhart, 2006) or adaptive performance (Pulakos, 2000; 2002). Our goal is to reflect on the central research question: Can the capability for adaptation be developed? Therefore we will study the antecedents and process of adaptation. To find and offer inspiration, different presenters in this symposium will draw on different fields: developmental cognitive psychology, occupational health psychology, and cognitive neuroscience. Adaptability: A Neuro-Cognitive Perspective. Presenter: Steven Poelmans; U. of Antwerp/ Antwerp Management School Adaptability, Self-Awareness and Identity: A Developmental Perspective. Presenter: Steven Op 't Roodt; - Resilience: A Look at Adaptability from a Health Perspective. Presenter: Cris Van Cleemput; - Presenter: Sven Van Cleemput; - The adaptability of the Mind: Switching between Alternative Neural Networks. Presenter: Astrid Buttiens; U. of Antwerp/ Antwerp Management School
Research on Cybercrime Helping Behaviour of the Network Platform

This paper is a research on cybercrime helping behaviour of the network platform.We aim to explore the legal regulation about the network platforms which work as the network service providers under the background of the Amendment Ⅸ to the Criminal Law.At the same time, this paper proposes two problems that should be analyzed emphatically when the platform involves cybercrime helping behaviour, namely the recognition of 'be fully aware' and the behaviour of helping.We hope that this article can provide a certain academic reference for judicial trial, and provide some help for other legal scholars in the study of such issues.
Cascade Attention-based Spatial-temporal Convolutional Neural Network for Motion Image Posture Recognition

&lt;p&gt;The traditional motion posture recognition methods cannot capture the temporal relationship in a video sequence, which leads to the problem that the recognition effect of time-dependent behaviors is not ideal. Therefore, this paper proposes a cascade attention-based spatial-temporal convolutional neural network for motion posture recognition. Firstly, the convolutional neural network is used to model the time sequence relationship in the video, so as to capture the spatial-temporal information in the video efficiently. At the same time, the cascade attention mechanism is used to improve the low learning ability of spatial features caused by channel information moving on the time axis. Meanwhile, a new spatial-temporal network structure is constructed, which includes the spatial-temporal appearance information flow and spatial-temporal motion information flow. Finally, the weighted average method is used to fuse the two spatial-temporal networks to obtain the final recognition result. Experiments are conducted on UCF101 and HMDB51 datasets, respectively, and the recognition accuracy is 96.8% and 79.6%. Experiment results show that compared with the state-of-the-art network methods, the recognition accuracy with the proposed method has better effect and robustness.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Construction of a 3D Conceptual Model of Subsurface Sulfide Mineralizations Using Integrated Geophysical Survey in Saint Catherine, South Sinai, Egypt

The genesis and mode of occurrence of sulfide mineralizations located within the quartz monzonite rocks of Saint Catherine Area, Egypt have divided researchers who studied them into 2 main groups. One group believes that the mineralizations belong to the porphyry copper type of deposits, while the other group thinks that the mineralizations are formed by deposition of sulfides-rich hydrothermal solution in the structural lineaments. This is the reason for conducting an integrated geophysical survey using magnetic, radiometric, very low frequency and turam electromagnetic methods to provide possible solutions to the conflict. Incorporating the results of the geophysical surveys with the previously available geological and geochemical data helped building up a realistic conceptual 3D model of the subsurface sulfide mineralizations. The model proposes that the mineralizations were formed through 2 stages of upward migration of hydrothermal solutions. The early stage resulted in the deposition of a deep massive heap of mineralizations, creating features that support porphyry copper deposits. In the later stage, some of these hydrothermal solutions traveled farther upward, along fault planes and dykes, forming shallower linear mineralized deposits controlled by the NW-SE structural lineaments. Both mineral deposits were deformed, displaced, and dissected by faults and dykes trending NE-SW, creating the present complicated situation, and showing contradicting evidences on their mode of occurrence. The proposed conceptual model accommodates all previously introduced evidences, solves the conflict between existing contradicting hypotheses, and presents a reasonable evidence-based view of the geometry and mode of formation of these mineralizations.
Storage in the Cloud: What You Need to Know and Why

In recent years there has been huge growth in the amount of data stored on public cloud services. Much of the data stored on these services is placed there through the use of mobile apps (such as Facebook or DropBox), with little consideration given by the owners to the potential consequences of storing their data on a public service. While these services typically spell out the conditions under which user data is stored in their Terms of Service, most users don't take the time to read these and they are seldom written in a way that encourages real understanding of the terms. However, there are many issues that should be considered when choosing to store personal data in a public cloud service, both from the perspective of the user and the cloud service provider. This paper begins by explaining some key concepts of cloud storage. It then provides a list of items that should be considered when choosing a cloud service provider, explains why the issues are potentially important, and gives suggestions for actions the user might make in order to achieve their desired goals.
Competence-oriented tasks in the contents of history courses in lyceum: essence, structure, classification, value

The article explains the concept of competence-oriented task, outlines its general features, functions and structure. The author named a number of compulsory elements of competence-oriented tasks in the content of courses of history in the lyceum, their classification was made, content, general features, structure and place in the educational process were determined. The choice of these objects of research is due to the need to transform the subject historical competence from the abstract definition into a specific mechanism of teaching History in the lyceum. To streamline our own classification, we identified a number of compulsory elements of competence-oriented tasks, which include: cognitive, activity, motivational and reflexive factors; research algorithms; possibilities of independent modeling of ways of activity. We identified the following types of competence-oriented tasks and systematized them according to the following indicators: the level of integration of objective historical with key competences; on the historical content and the main ways of forming the components of objective historical competence; in directions of search, processing and preservation of new historical information; in the presence of methodical support; the used forms of presentation of the acquired knowledge and experience; creative tasks. The link between the formally defined tasks of historical education in the lyceum and the educational trajectory of an individual child is motivation and reflection. The task of analyzing own achievements, involving personal experience of students is an important prerequisite for the formation of objective historical competence. Creating the conditions for a successful solving of high school pupils' competence-oriented tasks by the teacher will contribute to the development of all components of objective historical competence.
Career Guidance Of Architects In The System Of Continuous Education

Often, architects who have failed to embrace innovation, are “washed away” from the profession. Is it possible to reduce the risk of the unsuccessful career using vocational guidance? Whatare the career guadiance goals in the post-industrialsociety? Inwhichareas apart from the architectural design, could the architect`s career progress? By comparing the specificities of the human development, the human lives phases and goals of education in the ISCED 2011, identify the meanings of the professional guidance in the lifelong continuous architectural education system. Exploringthe modern legislative practice in the field of academic and supplementary architectural education; the sociological research`s methods – the architect`sinterviewing; online blog data analysis; analysis of the literary sources on the prestigious architect`sbiographies. Existingresearchshowsthat the architects have six different areas of the professional implementation. But the High school of architecture focuses on career guidance only in design. They receive far too little attention for other opportunities of the professional development of the architects. Architects who mast change their profession sphere do not receive supports from Universities and Union of Architects.Professional architects are competitive in other areas of professional activity. The Architecture High schools should take into account the dynamic changes in the labor market and the possibility of changing the professional development. The Architects should develop the communication with colleagues who have “left the profession” in order to jointly implement programs for the reconstruction of the built-up environment.
Stochastic Integral

Let \((\Omega ,{\mathcal {F}},P, \{ {\mathcal {F}}_t\}_{t\in [0,\infty )})\) be a standard filtered probability space throughout this section.
Symbolic Adoption Model of Local Government Management Information System

The purpose of this research is to create an acceptance model for the implementation of the Local Government Management Information System (LGMIS) financial application in the Denpasar City Government. In this study, the population consisted of all RAOs in the Denpasar City Government, a total of 36 RAOs and selected using saturated sampling methods and sampling of respondents was done by purposive sampling. SEM-PLS statistical analysis was used in this study. The findings of hypothesis testing show that information quality, system quality, management commitment, personal innovativeness, and computer self-efficacy have no effect on LGMIS's perceived usefulness. Personal innovativeness and computer self-efficacy have a positive effect on the perceived ease of use of the LGMIS. Ease of use has a positive effect on the financial LGMIS perceived usefulness. This study also proves that perceived ease of use and perceived usefulness have a positive effect on financial LGMIS symbolic adoption.&#x0D; Keywords: regional management information system, technology acceptance model, symbolic adoption.
Is there a Link between Stone Polishing and “Complex Gathering” in the Palaeolithic? (based on the Materials of the Kostenki-Borshevo Sites)

Spectacular finds at some of the Gravettian sites of the Kostenki-Borshevo region on the Don River served for the reconstruction of the economic and technological characteristics of the Middle Upper Paleolithic. The materials of these sites contain large polished stone artifacts, but till recently the technology of their manufacture has not been studied in the context of the whole industry. Quartzite slabs with wear traces indicative of their use as grinders traditionally, following A. N. Rogachev, were considered as tools for processing plant resources obtained in the course of gathering. In addition, many of the salbs in question bear residues of ocher-based colorants. The article discusses the connection between the technological chains associated with the production of polished stone pieces and ocher-based colorants and their relationship with the concept of “complex gathering” proposed by A. N. Rogachev. It is shown that stone polishing was not a sporadic activity, but represented rather a well-developed technological know-how common for the Gravettian sites of Kostenki. Quartzite slabs were used both in grinding and in the production of colorants. Without denying the possibility of using such slabs for processing plant products, we have to stree that such a function definitely was not the only one.
MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision

Using self-supervision in anomaly detection can increase sensitivity to subtle irregularities. However, increasing sensitivity to certain classes of outliers could result in decreased sensitivity to other types. While a single model may have limited coverage, an adaptive method could help detect a broader range of outliers. Our proposed method explores whether meta learning can increase the adaptability of self-supervised methods. Meta learning is often employed in few-shot settings with labelled examples. To use it for anomaly detection, where labelled support data is usually not available, we instead construct a self-supervised task using the test input itself and reference samples from the normal training data. Specifically, patches from the test image are introduced into normal reference images. This forms the basis of the few-shot task. During training, the same few-shot process is used, but the test/query image is substituted with a normal training image that contains a synthetic irregularity. Meta learning is then used to learn how to learn from the few-shot task by computing second order gradients. Given the importance of screening applications, e.g. in healthcare or security, any adaptability in the method must be counterbalanced with robustness. As such, we add strong regularization by i) restricting meta learning to only layers near the bottleneck of our encoder-decoder architecture and ii) computing the loss at multiple points during the few-shot process.
SELECTION OF CLASSIFIER MODELS FOR INTRUSION DETECTION SYSTEM(IDS)

The ChintalaVenkataramana Temple in Tadapatri, Andhra Pradesh, holds a significant role in the history of VijayanagaraArt.The temple built in the last quarter of the fifteenth century is a treasure house of exquisite craftsmanship. The magnificence of the Vijayanagara dynasty is not merely due to the magnitude of the temples but also for its artistic and decorative richness. ChintalaVenkataramana Temple and BuggaRamalingeswara temples are the finest examples displaying the richness of the Vijayanagara kings at Tadipatri. The ChintalaVenkataramana Temple is unique as it differs from the norm when compared to other temples of the Vijayanagara dynasty in few aspects. This temple, unlike the others are not very big in size and neither the pillars in the mandapas are so martial and huge. The notable feature of the temple is the stone chariot. The outer walls of the ardhamandapa and the shrine contains exquisite reliefs of narratives from the Ramayana and the Mahabharata. The sculptures, most of them narratives offer a visual treat of the episodes from the epic, the Bhagavataand from other mythological events making the temple unique and special. The aim of this paper is to discuss the narrative sculptures which are unique. The iconographical panels which refers to the epics and scenes from mythology will be discussed along with the artistic content
TRANSFER LEARNING BASED OFFLINE YORÙBÁ HANDWRITTEN CHARACTER RECOGNITION SYSTEM

This study presents Transfer Learning-based framework through the use of AlexNet for the development of an offline Yorùbá Handwritten Character Recognition System. The system encompasses the upper and case characters of the Yorùbá language, and tonal letters that have a significant impact on the Yorùbá language. The model reported network accuracy of 82.8%, validation accuracy of 77.7%, with F1 score of 0.7795, precision of 0.7819 and Recall of 0.7771. While the average recognition time is estimated to 0.371372 seconds. Thus, the technique of deep learning has shown significant improvement when compared to other existing approaches in recognizing standard Yorùbá characters.
The State of the Art in Virtual Reality Applied to Digital Games: A Literature Review

The term Virtual Reality (VR) was coined by the artist and computer scientist Jaron Lanier, by which he succeeded in expressing the search for the merger between what is real and what is virtual in the 80s. Based on movies such as Tron, by Steven Lisberger, the concept became known worldwide as a technology for digital games the aim of which was to prompt the user into greater interaction with, immersion in and engagement with the environment and the projected narrative. This study sets out a review the state of the art on the concept of VR used in the universe of digital games, whether in the context of research or entertainment, starting with a re-reading of scientific articles, books and online publications on the subject. In the context of digital games, in the past there was a major difficulty about using equipment such as a helmet with goggles, for ergonomic reasons. Currently, new devices are being enhanced to make their usability better for the user, and there are new applications such as using serious games in support of the fields of education and health and in the future, there will be nanotechnology projects applied to virtualizing reality and overcoming the limitations of the human body within the virtual world.