Статті в журналах з теми "An evolving model of reality"

Totally geodesic null hypersurfaces have been widely used as models of time-independent event and isolated black hole horizons. However, in reality black hole being surrounded by a local mass distribution there is significant difference in the structure of the surrounding region of isolated black holes. In this paper, we use metric conformal symmetry which provides a class of a family of totally umbilical null hypersurfaces (Theorem 4), supported by a physical model and an example of time-dependent evolving null horizons (see Definition 6) conformally related to <br />an isolated black hole. We establish an interrelation between the spacelike dynamical horizons (see Definition 7), isolated and evolving null horizons. Finally we propose further study on null geometry and physics of the surface closer to an isolated horizon.

ABSTRACT The Father of Modern Dentistry, Greene Vardiman Black, had played a vital role in elevating the dental profession to an autonomous status. Modern dentistry has continuously evolved from the time of GV Black. Now, there has been a paradigm shift in concept from ‘Extension for prevention’ to ‘Restriction with conviction’. ‘Medical model’ of caries management has been recognized as the most logical approach for success. The prediction of GV Black that ‘The professional person has no right to be other than a continuous student’ has become a reality. It is the duty of every conservative dentist to appreciate and adopt the changes and this will be the real tribute paid to the pioneers of the profession. How to cite this article Parameswaran A. Evolving from Principles of Gv Black. J Oper Dent Endod 2016;1(1):3-6.

Augmented reality (AR) is one of the newest learning technologies besides Artificial Intelligent, Virtual Reality, Virtual World, Alternates Reality Games, and Wearable Computing. E-Government is becoming an evolving academic field and transforming to be E-Governance, E-Participation, E-Service, E-Democracy, E-Voting issues. Therefore, some universities have E-Government course in their curriculum. AR can be one of the learning media to learn and teach E-Government effectively and interestingly. This research aims and contributes to develop a novel model of E-Government learning media using AR. Furthermore, this work has three novelties as follows:First, a method to develop e-Government learning media using AR. Second, a novel model of e-government learning media based on augmented reality technology. Third, the material courses are command centre and public service mall materials based in Surabaya, Indonesia. The new model of learning media using AR consists of main components, i.e., user, devices, AR, and course materials. Additionally, this novel model has some sub-components, such as AR object, marker, text, image, audio, video, and 3D animation. The proposed model has some practical and theoretical implications. For the theoretical implication , it adds a model of learning media for e-government course and extends the body of knowledge for e-government and augmented reality fields. For practice, e-Government courses can uilize the augmented reality application.

New and alternative scientific publishing business models is a reality driven mostly by the information and communication technologies, by the movements towards the recovery of control of the scientific communication activities by the academic community, and by the open access approaches. The hybrid business model, mixing open and toll-access is a reality and they will probably co-exist with respective trade-offs. This essay discusses the changes driven by the epublishing and the impacts on the scholarly communication system stakeholders' interrelationships (publishers-researchers, publishers-libraries and publishers-users interrelationships), and the changes on the scientific publishing business models, followed by a discussion of possible evolving business models. Whatever the model which evolves and dominates, a huge cultural change in authors' and institutions publishing practices will be necessary in order to make the open access happen and to consolidate the right business models for the traditional publishers. External changes such as policies, rewarding systems and institutions mandates should also happen in order to sustain the whole changing scenario.

Researchers have always been concerned about collision risks between ships and structures on busy waterways, as the consequences can be catastrophic. The models for determining the probabilities of these accidents, however, vary widely, with discrepancies between different model results in the same assessment. The models sometimes lack critical elements or are inherently flawed, and therefore do not represent reality. This paper aims to review the existing probabilistic risk models for ship and structure collisions. The advantages and disadvantages of each model are discussed, which leads to a better method for future model development. This paper reviews the existing literature for the probabilistic risk assessment (PRA) between nautical traffic and offshore infrastructures. This paper differentiates the existing models into three categories: statistics of collision rates, statistical models, and simulation models, as the models are evolving from statistical models to simulation models to derive more accurate results. The advantages and disadvantages of the statistical models were evaluated by comparing the details of the elements contributing to risk. Simulation models with virtual autonomous ships can better reflect the reality and include more risk elements than those described in the existing models. The cores of simulation models and the advantages of different models are elaborated and compared, thus supporting future work in this area.

The Commission on the Future of Health Care in Canada asked whether Medicare is sustainable in its present form. Well, Medicare is not sustainable for at least six reasons. Given a long list of factors, such as Canada's changing dependency ratio, the phenomenon of diminishing returns from increased taxation, competing provincial expenditure needs, low labour and technological productivity in government-funded healthcare, the expectations held by baby boomers, and the evolving value sets of Canadians—Medicare will impoverish Canada within the next couple of decades if not seriously recast. As distasteful as parallel private-pay, private-choice healthcare may be to some policy makers and providers who grew up in the 1960s, the reality of the 2020s will dictate its necessity as a pragmatic solution to a systemic problem.

Responsible science is mandatory for every research institution. As economic challenges, fast evolving technologies and competitiveness impact drastically the scientific productivity and quality, institutions must take action. Research core facilities using animal models (CORE) are central in biomedical institutions. Therefore, building a strong CORE represents a priority for research organizations. More precisely, COREs must define their purpose, ensure proper long term resources and promote ethics and transparency. The heads of COREs play, as managers, a key role in the development and in the coordination of all activities. They deal with multiple challenges, such as divergent objectives, heavy workload and limited resources, exposing them to psychosocial risks, and might compromise their ability to react rationally to the pressure. The implementation of a culture of care and of social responsibility is essential for COREs and for their institutions. In this, the collaborative efforts between institutions’ officials, administrative staff and scientists allow the support of CORE decisions, the development of innovative tools and the promotion of a responsible science. Overall, the improvement of the CORE strategy and functioning results in increased scientific success rates for the institution, while reducing psychosocial risks for personnel.

With the advancement of information technology, Building Information Modeling (BIM) is evolving fast and play an essential role in Architecture, Engineering, Construction, Owner and Operators (AECOO) industry. Universities play an important role in the current BIM transition in construction projects as well as to embrace Industry 4.0. In this research, immersive Virtual Reality (VR) in BIM offer a unique, supportive environment for the user experience in visualizing and collecting data from the model. With Virtual Reality (VR), engineering education has a major breakthrough. Immersive interactions, stereoscopic 3D, real time multisensory simulations, virtual explorations, synchronous communications, data analytics and visual analysis – all these are impossible without VR. VR offers a student-centred learning environment that promotes active and collaborative learning, situated within simulated real-world contexts.

Abstract The mainstreaming of concepts related to the Green Economy, an action-oriented approach to reach sustainable development, has increased demands for integrated models that can shed light on the complex relations existing across social, economic and environmental indicators. A gap exists, whereby our thinking is rapidly evolving, but the tools available are still in the vast majority of cases sectorial, leading to planning processes taking place in silos. To avoid the emergence of side effects, and anticipate future threats and opportunities, a more systemic approach is needed. The Green Economy Model (GEM) was created taking into account four main capitals and their interconnections: physical capital, human capital, social capital and natural capital. The application of GEM in 10 countries has shown its capability to coherently represent reality and generate results that can more effectively inform decision making.

The idea of virtuality is not new, as research on visualization and simulation dates back to the early use of ink and paper sketches for alternative design comparisons. As technology has advanced so the way of visualizing simulations as well, but the progress is slow due to difficulties in creating workable simulations models and effectively providing them to the users. Augmented Reality and Virtual Reality, the evolving technologies that have been haunting the tech industry, receiving excessive attention from the media and colossal growing are redefining the way we interact, communicate and work together. From consumer application to manufacturers these technologies are used in different sectors providing huge benefits through several applications. In this work, we demonstrate the potentials of Augmented Reality techniques in a Smart City (Smart Campus) context. A multiplatform mobile app featuring Augmented Reality capabilities connected to GIS services are developed to evaluate different features such as performance, usability, effectiveness and satisfaction of the Augmented Reality technology in the context of a Smart Campus.

Mass media systems play increasingly prevalent roles in our lives. However, the relationship between traditional mass media exposure and behavior on social media is unclear, particularly in the context of selfie-related behavior, which includes capturing, editing, and sharing images of oneself. In the tradition of social cognitive theory, we argue that reality television (RTV) models a value system focused on the self and competition with others, and hypothesize a model where self-worth based on competition mediates the relationship between RTV viewing and selfie-related behavior. Path analysis results from survey data ( N = 334) support the mediation model. Selfie-related behavior was explicated and measured via novel instruments. Audience variables including online network size and diversity also played roles in selfie editing and sharing, as did specific social media platforms. Results are discussed in the context of evolving media systems.

The boundaries of social acceptance and models of convergence of human and non-human (for example, subjects of artificial intelligence) actors of digital reality are defined.The constructive creative possibilities of convergent processes in distributed neural networks are analyzed from the point of view of possible scenarios for building “friendly” human-dimensional symbioses of natural and artificial intelligence. A comprehensive analysis of new management challenges related to the development of cyber-physical and cybersocial systems is carried out.A model of social organizations and organizational behavior in the conditions of cyberphysical reality is developed.The possibilities of reconciling human moral principles and “machine ethics” in the processes of modeling and managing digital reality are studied. The significance of various concepts of digital, machine and cyber-anymism for the socio-cultural understanding of the development of modern cyber-physical technologies, the anthropological dimension of a smart city is revealed. The article introduces the concept of hybrid society and shows the development of its models as self-organizing collective systems that consist of co-evolving biohybrid and socio-technical spheres. The importance of modern anthropogenic research for sustainable development is analyzed. The process of marking ontological boundaries between heterogeneous modalities in the digital world is investigated. Examples of acute social contexts that are able to set the vector of practical philosophy in the modern digital era are considered.

How much inequality in policy instruments can a universalist welfare state tolerate in its pursuit of equity? This article reviews the nuances of universalism as a concept through examination of its meaning and application in Norwegian health policy, with a contextual focus on migrant maternal health in Norway. The Nordic welfare model is generous and dedicated to achieving equality through the universal provision of social services; however, there are increasing gray areas that challenge the system, invoking the conundrum of equality versus equity. Universalism is a central principle in Norwegian health policy, however changes in the socio-political environment have meant the concept as originally conceived requires a more nuanced articulation. Population changes in particular, such as a growing and diverse migrant settlement, present challenges for how to achieve the equality desired by universalist measures, while maintaining the equity demanded by diversity. This article uses an example of a Norwegian program that delivers maternal health services to migrant women to question the concept of universalism as a theoretical and practical construct, as historically and currently applied in Norwegian health policy. This example illustrates how healthcare as an organization functions in the country, and the role of its key players in adapting policy instruments to meet the Norwegian welfare state’s universal policy aims. The scholarly contribution of this article lies in promoting a critical reflection on the evolving definition of universalism, and in contributing to a discussion on the need to retheorize the concept in Norwegian health policy to attain equity.

Organizational democracy has become a key issue in current change-management programmes, such as restructuring, total quality management and Enterprise Resource Planning, and there has been a persistent quest for a post-Fordist model in recent times. The article emphasizes the need to study democratic processes per se, given that democracy faces significant odds vis-a-vis the larger context, even in those organizations that have been expressly initiated for democratic functioning. The contradictions with the context inevitably manifest themselves inside the organization as well. The present study makes a case for understanding organizational democracy as an evolving reality, based on participant observation of democratic functioning within a workers’ cooperative over seven years.

Oxygen (O2) enriched air combustion via adaption of polymeric membranes has been proposed to be a feasible alternative to increase combustion proficiency while minimizing the emission of greenhouse gases into the atmosphere. Nonetheless, majority of techno-economic assessment on the O2 enriched combustion evolving membrane separation process are confined to assumption of constant membrane permeance. In reality, it is well known that membrane permeance is highly dependent upon the temperature and pressure to which it is operated. Therefore, in this work, an empirical model, which includes the effect of temperature and pressure to permeance, has been evaluated based on own experimental work using polysulfone membrane. The empirical model has been further validated with published experimental results. It is found that the model is able to provide an excellent characterization of the membrane permeance across a wide range of operating conditions for both pure and binary gas with determination coefficient of minimally 0.99.

The social adoption of change is usually hard because in reality, forces opposing the social adoption of change manifest. This situation of organizational conflict corresponds to the case where two competing groups of influential agents (“promoters” versus “adversaries” of change) operate concurrently within the same organizational network. We model and explore the co-evolution of interpersonal ties and attitudes in the presence of conflict, taking into account explicitly the microscopic “agent-to-agent” interactions. In this perspective, we propose a new ties-attitudes co-evolution model where the diffusion of attitudes depends on the weights and the evolution of weights is formulated as a “learning mechanism” (weight updates depend on the previous values of both weights and attitudes). As a result, the co-evolution is intrinsic/endogenous. We simulate representative scenarios of conflict in 4 real organizational networks. In order to formulate structural balance in directed networks, we extended Heider’s definition of balance considering directed triangles. The evolution of balance involves two stages: first, negative links pop up disorderly and destroy balance, but after some time, as new negative links are formed, a “new” balance is re-established. This “new” balance is emerging concurrently with the polarization of attitudes or domination of one attitude. Moreover, same-minded agents are positively linked and different-minded agents are negatively-linked. This macroscopic self-organization of the system is due only to agent-to-agent interactions, involving feedbacks on weight updates at the local microscopic level.

Business organizations, managers, and all of us need to adapt to a rapidly evolving socio-technical environment and to the climate change and other environmental crises we are all facing. Managers, and all of us, need to engage with the opportunities and threats posed by exponential development of technologies of production, distribution, and consumption and with innovative, and sometimes, risky approaches to dealing with climate change and other aspects of global unsustainability. Managers, and all of us, would do well to unlearn self-limiting beliefs and utilize the highest potential of themselves and their teams to generate visionary designs that will guide pro-social and environmental behaviors toward a flourishing world. We call Higher Consciousness Management (HCM) a way of being and operating that enables managers and others to tap into the source of unbounded potential within themselves. In essence, managers could benefit from transcending surface-level reality and developing problemsolving capabilities with adaptability, creativity, empathy, and vision. The V-theory of transcendence models a wide range of contemplation and meditation techniques to transcend surface reality and connect with pure consciousness, which is the unified field of all the laws of nature. This paper presents three key principles for HCM, and some ways of developing those capabilities in organizations. We model HCM using two case studies, and outline a vision of what HCM might portend for the future.

Small and Medium Enterprises (SMEs) have been the core agents in accelerating growth and providing jobs opportunities for the nation. Indeed, with industrial revolution rapidly evolving, there is a stronger exigency for SMEs to explore new opportunities aims to enhance efficiency so that SMEs able to compete and grow internationally. Recent development has heightened the need for SMEs to involve in innovation activity as the means to improve competitiveness and sustaining performance becoming a reality. Many studies emphasize on the critical role of innovation ambidexterity in determining SMEs success but the existing studies yet to conclude the predecessor of innovation ambidexterity in internationally operated SMEs. This article aims to provide a conceptual model that explores the potential of international entrepreneurial orientation in determining innovation ambidexterity in international SMEs in Malaysia.

A session-based recommender system (SBRS) captures users’ evolving behaviors and recommends the next item by profiling users in terms of items in a session. User intent and user preference are two factors affecting his (her) decisions. Specifically, the former narrows the selection scope to some item types, while the latter helps to compare items of the same type. Most SBRSs assume one arbitrary user intent dominates a session when making a recommendation. However, this oversimplifies the reality that a session may involve multiple types of items conforming to different intents. In current SBRSs, items conforming to different user intents have cross-interference in profiling users for whom only one user intent is considered. Explicitly identifying and differentiating items conforming to various user intents can address this issue and model rich contextual information of a session. To this end, we design a framework modeling user intent and preference explicitly, which empowers the two factors to play their distinctive roles. Accordingly, we propose a key-array memory network (KA-MemNN) with a hierarchical intent tree to model coarse-to-fine user intents. The two-layer weighting unit (TLWU) in KA-MemNN detects user intents and generates intent-specific user profiles. Furthermore, the hierarchical semantic component (HSC) integrates multiple sets of intent-specific user profiles along with different user intent distributions to model a multi-intent user profile. The experimental results on real-world datasets demonstrate the superiority of KA-MemNN over selected state-of-the-art methods.

This article describes the integration of medical anthropologists as direct members of health care teams within a large, urban teaching hospital as a means to address the role of structural inequality in unequal health care delivery within the context of COVID-19. The pandemic starkly underlined the role structural forces such as food insecurity, housing instability, and unequal access to health insurance play among vulnerable populations that seek health care, particularly within the emergency department (ED). There is a critical need to recognize the reality that disease acquisition is a cultural process. This is a significant limitation of the biomedical model, which often considers disease as a separate entity from the social contexts in which disease is found. Further, a focus on patient-centered care can open the door for critical, clinically applied, medical anthropologists to team with physicians, merging ethnographic methods with health data and the socially constructed realities of patients’ lived experience to build new pathways of care. These pathways may better prepare physicians and health care systems to respond to novel threats like COVID-19, which are rooted in pathophysiological origins but have outcome distributions driven by cultural and structural determinants. To this end, we propose a reconfiguration of dominant biomedical ideologies around disease acquisition and spread by examining our work since 2018, which sees anthropologists embedded both locally and systematically in the creation of anthropologically informed treatment pathways for socially complex disease states like HIV, Hepatitis C, and Opioid Use Disorder (Henderson 2018). Understanding how these socially complex diseases concentrate and interact in populations is a potential opportunity to model solutions for other widespread and complex health care crises, including COVID-19.

The Coronavirus Crisis and the Fourth Industrial Revolution, as the main drivers of global trend changes, have called for new scientific approaches to understanding the “new normal.” Theories based on the values of methodological individualism have shown their limitations and even their insolvency in the face of the new challenges. The virus was most successful in its spread where it encountered an individualism that had degenerated into egoism. The emergence of Noonomy, among other concepts, was a reaction to the insufficient potential of existing theories in the face of the challenges of the new era. The theoretical model of Noonomy relies on a perfect technology that provides citizens with the necessary benefits of life and frees them from the need for forced labor in production, and on new people, with creative motivation at the forefront and free from individualism. The article focuses on the fact that the transition from the current state of the economy, economic science and economic man to Noonomy and creative man is a great distance from the transitional states. The necessity of their research represents a global scientific task. The author justifies the necessity of such research, highlights some existing transitional forms and notes the emergence of new forms based on an evolving reality.

The Coronavirus Crisis and the Fourth Industrial Revolution, as the main drivers of global trend changes, have called for new scientific approaches to understanding the “new normal.” Theories based on the values of methodological individualism have shown their limitations and even their insolvency in the face of the new challenges. The virus was most successful in its spread where it encountered an individualism that had degenerated into egoism. The emergence of Noonomy, among other concepts, was a reaction to the insufficient potential of existing theories in the face of the challenges of the new era. The theoretical model of Noonomy relies on a perfect technology that provides citizens with the necessary benefits of life and frees them from the need for forced labor in production, and on new people, with creative motivation at the forefront and free from individualism. The article focuses on the fact that the transition from the current state of the economy, economic science and economic man to Noonomy and creative man is a great distance from the transitional states. The necessity of their research represents a global scientific task. The author justifies the necessity of such research, highlights some existing transitional forms and notes the emergence of new forms based on an evolving reality.

The Coronavirus Crisis and the Fourth Industrial Revolution, as the main drivers of global trend changes, have called for new scientific approaches to understanding the “new normal.” Theories based on the values of methodological individualism have shown their limitations and even their insolvency in the face of the new challenges. The virus was most successful in its spread where it encountered an individualism that had degenerated into egoism. The emergence of Noonomy, among other concepts, was a reaction to the insufficient potential of existing theories in the face of the challenges of the new era. The theoretical model of Noonomy relies on a perfect technology that provides citizens with the necessary benefits of life and frees them from the need for forced labor in production, and on new people, with creative motivation at the forefront and free from individualism. The article focuses on the fact that the transition from the current state of the economy, economic science and economic man to Noonomy and creative man is a great distance from the transitional states. The necessity of their research represents a global scientific task. The author justifies the necessity of such research, highlights some existing transitional forms and notes the emergence of new forms based on an evolving reality.

Adherents of the current orthodoxy of a derivation of birds from theropod dinosaurs, criticize the commentary by Feduccia (2013, Auk, 130) [1 - 12] entitled “Bird Origins Anew” as well as numerous papers by Lingham-Soliar on theropod dermal fibers, using numerous mischaracterizations and misstatements of content, and illustrate their own misconceptions of the nature of the debate, which are here clarified. While there is general agreement with the affinity of birds and maniraptorans, the widely accepted phylogeny, advocating derived earth-bound maniraptorans giving rise to more primitive avians (i.e. Archaeopteryx), may be “topsy-turvy.” The current primary debate concerns whether maniraptorans are ancestral or derived within the phylogeny, and whether many maniraptorans and birds form a clade distinct from true theropods. Corollaries of the current scheme show largely terrestrial maniraptoran theropods similar to the Late CretaceousVelociraptorgiving rise to avians, and flight originatingviaa terrestrial (cursorial) “gravity-resisted,” as opposed to an arboreal “gravity-assisted” model. The current dogma posits pennaceous flight remiges in earth-bound theropods having evolved in terrestrial theropods that never flew. As part of the orthodoxy, fully feathered maniraptorans such as the tetrapteryx glidersMicroraptorand allies, are incorrectly reconstructed as terrestrial cursors, when in reality their anatomy and elongate hindlimb feathers would be a hindrance to terrestrial locomotion.The same is true of many early birds, exemplified by reconstruction of the arboreally adaptedConfuciusornisas a terrestrial predator, part of the overall theropodan scheme of birds evolving from terrestrial dinosaurs, and flight from the ground up. Both sides of this contentious debate must be constantly aware that new fossil or even molecular discoveries on birds may change current conclusions.

Family law is evolving towards non-adversarial dispute resolution processes. As a result, some family lawyers are representing clients who are trying to reach settlements that recognize their interests, instead of just pursuing their legal rights. By responding to the full spectrum of client needs, lawyers are required to behave differently than they do when they are representing a client in a traditional civil litigation file. They consider the emotional and financial consequences of relationship breakdown – things that are not typically within the purview of the family law lawyer. They objectively reality check with their clients, and they approach interest-based negotiations in a client-centric way. These lawyers view their role as that of a non-adversarial advocate, and their clients as whole people with interests that are not just legal. This paper draws on an empirical study involving focus groups with family law lawyers, to argue that the Federation of Law Societies of Canada’sModel Code of Professional Conductneeds to be updated to incorporate non-adversarial advocacy. The lawyers in the study viewed non-adversarial advocacy as being responsive to client needs, and in the interest of clients’ children. This paper draws from the study to establish what constitutes non-adversarial advocacy and then it presents a proposal for revising Rule 5 (Advocacy) of the Model Code.

With current data acquisition techniques, exhaustive documentation of patrimonial goods is generated, which allows obtaining a 3D geometric model, on which data from research from research is generated. As in other fields of architecture, the latest graphic techniques and manipulation of the image, allow a working methodology other than the current one in the patrimonial field. The information systems have been evolving towards technologies developed with open source software, the use of standards, ontologies and the structuring of information and of the 3D model itself under a semantic hierarchy. Interoperability between databases is favored and the maintenance of applications is ensured. The purpose is to support decision-making related to the model and simultaneously, serve multiple purposes such as cataloging, protection, restoration, conservation, maintenance or dissemination, among others. The research carried out for the realization of the survey of the City Council and Lonja of Alcañiz (Teruel), has the aim of expanding the historical knowledge of the buildings and delimiting its possible constructive phases, in order to obtain the geometric reality of the buildings. In this way, provide greater instruments to carry out the drafting work of the set restoration project.

Climate change is an evolving business reality influencing the sustainability of ski tourism worldwide. A new integrated model of the co-evolution of supply (27 ski areas) and demand-side (skier behaviour) climate change adaptation in the ski tourism market of Ontario, Canada is presented. Ski area operations are modeled under a high-emission 2050s scenario, with skier responses to altered operations informed by a survey of 2429 skiers. These market adaptive dynamics reveal new insights into differential climate risk, capturing patterns not apparent when considering only operational conditions of ski resorts. A decoupling of ski season length and skier visitation was found at four ski areas, where, despite average season length losses, visitation increased as a result of reduced competition. Simulated skier visit losses were smaller than reductions in season length, contributing to an increase in crowding. Growing the market of skiers was also identified as a critical adaptation strategy that could offset skier visit losses from shortened seasons. Climate change challenges the future sustainability of ski areas in this market in several ways: profitability of ski areas with substantially shorter seasons, increased snowmaking costs, crowding impacts on visitor experience, and potential overtourism at the few most climate resilient destinations.

The limited penetration of bariatric surgery and the scarce outcome of pharmacological therapies created a favorable space for primary bariatric endoscopic techniques. Furthermore, bariatric endoscopy is largely used to diagnose and treat surgical complications and weight regain after bariatric surgery. The increasingly essential role of endoscopy in the management of obese patients results in the need for trained professionals. Training methods are evolving, and the apprenticeship method is giving way to the simulation-based method. Existing simulation platforms include mechanical simulators, ex vivo and in vivo models, and virtual reality simulators. This review analyzes current training methods for bariatric endoscopy and available training programs with dedicated bariatric core curricula, giving a glimpse of future perspectives.

The paper analyses how the discourses of a commodity, trade, and shop become, on the one hand, the subjects of literary reflection and, on the other hand, the certain structures of meaning that form the existential and cultural practices moulding the commodity into a form of reality, trade as a relationship with reality, and shop as a kind of a reality genre in the modern Lithuanian literature. Although the history of a commodity, trademark, or other related subjects in the Lithuanian literature have not been traced on the paper, it is claimed, more out of the feeling, that a commodity and the phenomena related to it are more likely to appear in the modern literary texts. The feeling is based on the theory of a commodity and the trade as a model of a certain culture; the theory, starting with the works of Karl Marx, explains the transformations of the art creation and reception in accordance with the demand / supply forces that started to determine the processes of the art in the Western culture from the middle of the nineteenth century. The theoretical core of cultural commodification enables to speak about a commodity as a literary top not as a coincidence, but as a process, which came to be discussed and reflected long before the market economy in the last decade of the XXth century, in the “non-commodity” Soviet political system, as the documents of the Lithuanian Association for Writers suggest. The combination of the archival data, the facts of the modern literature, and the theory of cultural commodification detects the evolving discourse of commodification reflection and its character in the Lithuanian literature.

This Article develops a methodological basis for elaborating an idea of global constitutionalism. It applies this broader understanding of the idea of global constitutionalism to an examination of the specific role played by human rights within the evolving framework of global legal governance. The methodological basis from which the idea of global constitutionalism is developed derives from work in historical sociology that emphasizes the role played by underlying symbolic forms in the structure of social reality. The approach adopted here lays particular emphasis, following Claude Lefort and Marcel Gauchet, on the role of political theology as the principal mode in which symbolic form is constituted. From this perspective, the notion of the global human rights model is scrutinized as central to the symbolic form of global constitutionalism. Developed in critical engagement with the work of Samuel Moyn, human rights can be seen as central to global constitutionalism viewed as the latest political constellation of a distinctively secular understanding of the symbolic form and limits of political authority.

Abstract. Landscape evolution models simulate the long-term variation of topography under given rainfall scenarios. In reality, local rainfall is largely affected by topography, implying that surface topography and local climate evolve together. Herein, we develop a numerical simulation model for the evolution of the topography–climate coupled system. We investigate how simulated topography and rain field vary between “no-feedback” and “co-evolution” simulations. Co-evolution simulations produced results significantly different from those of no-feedback simulations, as illustrated by transects and time evolution in rainfall excess among others. We show that the evolving system keeps climatic and geomorphic footprints in asymmetric transects and local relief. We investigate the roles of the wind speed and the time lags between hydrometeor formation and rainfall (called the delay time) in the co-evolution. While their combined effects were thought to be represented by the non-dimensional delay time, we demonstrate that the evolution of the coupled system can be more complicated than previously thought. The channel concavity on the windward side becomes lower as the imposed wind speed or the delay time grows. This tendency is explained with the effect of generated spatial rainfall distribution on the area–runoff relationship.

Visual simultaneous localization and mapping (VSLAM) is an essential technique used in areas such as robotics and augmented reality for pose estimation and 3D mapping. Research on VSLAM using both monocular and stereo cameras has grown significantly over the last two decades. There is, therefore, a need for emphasis on a comprehensive review of the evolving architecture of such algorithms in the literature. Although VSLAM algorithm pipelines share similar mathematical backbones, their implementations are individualized and the ad hoc nature of the interfacing between different modules of VSLAM pipelines complicates code reuseability and maintenance. This paper presents a software model for core components of VSLAM implementations and interfaces that govern data flow between them while also attempting to preserve the elements that offer performance improvements over the evolution of VSLAM architectures. The framework presented in this paper employs principles from model-driven engineering (MDE), which are used extensively in the development of large and complicated software systems. The presented VSLAM framework will assist researchers in improving the performance of individual modules of VSLAM while not having to spend time on system integration of those modules into VSLAM pipelines.

Abstract Despite the sheer reality of English used as a lingua franca in and outside L2 English classrooms, many teachers are still unaware of the concept of English as a lingua franca (ELF), which makes integration of ELF awareness into teacher education essential. This study presents an “ELF-aware” education model for pre-service teachers and analyses the definitions of ELF made by the pre-service teachers exposed to this model before, during and after their training and documents the ways they changed, if any. The data were collected by an open-ended questionnaire and semi-structured interviews which were thematically analysed. According to our findings, ELF conceptualizations reveal increased awareness. Perceptions of ELF changed from a global concept to a communicative construct and ultimately to a humanistic pedagogical perspective accepting non-native users of English with their own variability. The data imply the evolving roles of the participants from (i) outsiders to ELF to (ii) ELF-aware users and owners of English and ultimately to (iii) potential ELF-aware practitioners and disseminators of ELF knowledge. With variability of definitions and implied roles changing at each phase of the training, the ELF-aware pre-service teacher education model has proved to be effective in making the participants increasingly aware of the ELF concept.

The progress and development in the fields of technologies in the past few decades are impressive. With so many innovations that have had an impact on human lives and have changed them so drastically, living in a time where new technologies are still making massive changes, and, unquestionably, it wil continue with that trend. As the techniques are continuously evolving, people are forced to prepare ourselves and our descendants to the new and upcoming technologies so that they would be able to understand them, use them, teach others about them and also make some improvements in the specific fields of applications. This article presents an overview of the principal results of research on the impact of Virtual Reality (VR) 3D education for students in industrial vocational training. They were introducedto the generated model and had to explore all elements to have personal experience in the virtual environment. After the training, a user experience survey has been conducted, and the results obtained after the use of the system were presented.

In this study, Fuzzy Logic (FL) and Interval Type-2 FL (IT-2FL) controllers were applied to a mobile robot in order to determine which method facilitates navigation and enables the robot to overcome real-world uncertainties and track an optimal trajectory in a very short time. The robot under consideration is a non-holonomic unicycle mobile robot, represented by a kinematic model, evolving in two different environments. The first environment is barrier-free, and moving the robot from an initial to a target position requires the introduction of a single action module. Subsequently, the same problem was approached in an environment closer to reality, with objects hindering the robot's movement. This case requires another controller, called obstacle avoidance. This system allows the robot to reach autonomously a well-defined target by avoiding collision with obstacles. The robustness of the structures of the defined controllers is tested in Matlab simulations of the studied controllers. The results show that the IT-2FL controller performs better than the FL controller.

ABSTRACT Favelas are low-income urban communities in Brazil, and Maré in Rio de Janeiro has the largest cluster of favelas in the country. The prevailing view of a unique, regulated, and normative city conflicts with the reality of the continued expansion of the favelas, posing challenges for architects and urban planners in developing new strategies for integrating informal areas with the main city. This study focused on a decaying industrial area adjacent to the Maré favelas and explored a sustainable path for improving both the quality of the built environment and the quality of life of the residents. Effective infrastructure and socioeconomic links between the favelas and the city were proposed. The home production model that emerged from the favelas inspired the use of the abandoned industrial area as a home-industry incubator. The study proposed an urban regeneration strategy involving a bottom-up industry-space process evolving from home industries to group industries, and finally to larger community industries. This strategy can accelerate Maré’s development and integration with the city of Rio de Janeiro.

Accompanying the advent of wireless networking and the Internet of Things (IoT), traditional augmented reality (AR) systems to visualize virtual 3D models of the real world are evolving into smart and interactive AR related to the context of things for physical objects. We propose the integration of AR and IoT in a complementary way, making AR scalable to cover objects everywhere with an acceptable level of performance and interacting with IoT in a more intuitive manner. We identify three key components for realizing such a synergistic integration: (1) distributed and object-centric data management (including for AR services); (2) IoT object-guided tracking; (3) seamless interaction and content interoperability. We survey the current state of these respective areas and herein discuss research on issues about realizing a future smart and interactive living environment.

The spread of ideas is a fundamental concern of today’s news ecology. Understanding the dynamics of the spread of information and its co-option by interested parties is of critical importance. Research on this topic has shown that individuals tend to cluster in echo-chambers and are driven by confirmation bias. In this paper, we leverage the active inference framework to provide an in silico model of confirmation bias and its effect on echo-chamber formation. We build a model based on active inference, where agents tend to sample information in order to justify their own view of reality, which eventually leads to them to have a high degree of certainty about their own beliefs. We show that, once agents have reached a certain level of certainty about their beliefs, it becomes very difficult to get them to change their views. This system of self-confirming beliefs is upheld and reinforced by the evolving relationship between an agent’s beliefs and observations, which over time will continue to provide evidence for their ingrained ideas about the world. The epistemic communities that are consolidated by these shared beliefs, in turn, tend to produce perceptions of reality that reinforce those shared beliefs. We provide an active inference account of this community formation mechanism. We postulate that agents are driven by the epistemic value that they obtain from sampling or observing the behaviours of other agents. Inspired by digital social networks like Twitter, we build a generative model in which agents generate observable social claims or posts (e.g., ‘tweets’) while reading the socially observable claims of other agents that lend support to one of two mutually exclusive abstract topics. Agents can choose which other agent they pay attention to at each timestep, and crucially who they attend to and what they choose to read influences their beliefs about the world. Agents also assess their local network’s perspective, influencing which kinds of posts they expect to see other agents making. The model was built and simulated using the freely available Python package pymdp. The proposed active inference model can reproduce the formation of echo-chambers over social networks, and gives us insight into the cognitive processes that lead to this phenomenon.

Purpose of the study: The paper addresses the issue of regulating Internet communication activities in the context of online forums. The study aims to create a forum communication model identifying the areas subject to social regulation and defining the most common types of norms Methodology: The study draws upon the semiotic method to develop a new communication model based on classical theories. Quantitative empirical studies are also used. The rules and guidelines of 1,205 online forums were analyzed to identify the most common norms. Main Findings: Communicators and moderators access the forum communication space via user accounts and create a sign system. Some categories, such as a ban on deceptive or offensive content, are similar to those used in offline life. Other regulations are Internet-specific in that they are determined by inherent challenges of online communication (for example, account cloning) or by the way a forum is structured (flooding, necroposting, etc.). Applications of this study: The findings related to the forum rules are presented in a summarized manner, although the rules vary slightly in reality, depending on the forum topic. The prevalence of deviant behaviors on online forums was also beyond the scope of this study. The study was based on the rules of Russian- and English-speaking forums, and it should be noted that language differences could influence the results. Social Implications: The evolving social interactions on the Web require regulations, which can differ significantly from those used offline. The study of social norms on the Internet allows us to trace what types of online behavior are now considered deviant and examine the current potential of Internet self-regulation. Novelty/Originality of this study: The study developed a new communication model for categorizing online communication norms. Major categories of online communication behavior regulation were identified and the most popular types of social norms were determined.

Historical building conservation raises two important issues which are documentation and refurbishing. For the recording and documentation, we already have developed 3d laser scanner and such photogrammetry technology those represent a freeze object of virtual reality by digital documentation. On the other hand, the refurbished engineering of historic building is a challenge for conservation heritage which are not only reconstructing the damage part but also restoring tangible cultural heritage. 3D digital cultural heritage models has become a topic of great interest in recent years. One reason for this is the more widespread use of laser scanning and photogrammetry for recording cultural heritage sites. These technologies have made it possible to efficiently and accurately record complex structures remotely that would not have been possible with previous survey methods. In addition to these developments, digital information systems are evolving for the presentation, analysis and archival of heritage documentation.

An increasing appreciation for the burden that chronic conditions represent for people and for societies has triggered an evolving body of popular and professional conceptualizations of the nature of the chronic disease challenge. In this discussion article, we trace the trajectory of thinking about chronic illness care, surfacing underlying assumptions and drivers that have shaped current dominant models of service delivery. We note significant gaps in these conceptualizations, especially with respect to the reality that many chronic conditions are life limiting. Contrasting chronic disease theorizing with the conversations that have arisen around end-of-life care for other kinds of health conditions, we argue for a shift in our thinking to accommodate the implications of life limitation in our service delivery planning. We see significant leadership potential in optimizing the role nurses can play across the chronic disease trajectory by integrating the healthy optimism of self-care management with the profound compassion of a person-centered palliative approach.

Abstract The literary palette of Tolnai’s textual universe within the Hungarian literature from Vojvodina is based, among others, upon the intertwining of various cultural entities. The social and cultural spaces of “Big Yugoslavia,” the phenomena, figures, and works of the European-oriented Yugoslav and ethnic culture (literature, painting, book publishing, theatre, sports, etc.), the mentalities of the migrant worker’s life, the legends of the Tito cult embed the narrative procedures of particular texts by Tolnai into a rich culture-historical context. Similarly to the model of Valery’s Mediterranean, the narrator’s Janus-faced Yugoslavia simultaneously generates concrete and utopian spaces, folding upon one another. Above the micro spaces (towns, houses, flats) evolving along the traces of reality, there float the Proustian concepts of scent and colour of the Adriatic sea (salt, azure, mimosa, lavender, laurel). The nostalgia towards the lost Eden rises high and waves about the “grand form” of Big Yugoslavia, the related space of which is the Monarchy. The counterpoints of the grand forms are “the small, void forms,” provinces, regions (Vojvodina, North Bačka) and the micro spaces coded into them. The text analyses of the paper examine the intercultural motions and identityforming culture-historical elements of the outlined space system.

The objective of this paper is to discuss the replication of passenger congestion (overcrowding) effects on output path choices in public transport assignment models. Based on a comprehensive literature review, the impact of passenger overcrowding effects was summarised in 3 main categories: the inclusion of physical capacity constraints (limits); the feedback effect between transport demand and supply performance; and the feedback effect on travel cost (discomfort penalty). Further on, sample case studies are presented, which prove that the inclusion of capacity constraints might significantly influence the assignment output and overall results in public transport projects’ assessment – yet most state-of-the-practice assignment models would either miss or neglect these overcrowding-induced phenomena. In a classical 4-step demand model, their impact on passengers’ travelling strategies is often limited to path (route) choice stage, while in reality they also have far-reaching implications for modal choices, temporal choices and long-term demand adaptation processes. This notion has been investigated in numerous research works, leading to different assignment approaches to account for impact of public transport capacity constraints – a simplified, implicit approach (implemented in macroscopic-based models, e.g. PTV VISUM), and a more complex, explicit approach (incorporated in mesoscopic-based models, e.g. BusMezzo). In the simulation part of this paper, sample tests performed on a small-scale network aim to provide a general comparison between these two approaches and arising differences in the assignment output. The implicit approach reveals some differences in assignment output once network capacity constraints are accounted for – though in a simplified manner, and producing somewhat ambiguous output (e.g. in higher congestion scenarios). The explicit approach provides a more accurate representation of overcrowding-induced phenomena - especially the evolving demand-supply interactions in the event of arising congestion in the public transport network. Further studies should involve tests on a city-scale, multimodal transport model, as well as empirical model validation, in order to fully assess the effectiveness of these distinct assignment approaches. - The paper discusses the inclusion of overcrowding effects on path choices in public transport assignment models - These can be grouped into 3 main categories: physical constraints, demand-supply feedback and path discomfort cost - Sample case studies show that their inclusion may substantially affect the assignment output - Two general methods of modelling capacity constraints are: the implicit and explicit approach - An illustrative example shows that both approaches produce different output with the explicit one being more specific and adequate

This paper interrogates the notion of “New Capital” in the context of the hegemony of neoliberal urbanism in the Arabcities in the Middle East from historical, socioeconomic, and spatial perspectives. It reviews the historical narratives of new centres and districts in Cairo, Beirut, and evolving capitalist urbanism and architecture in the Arabian Peninsula in search of the elitist dream of neoliberal urbanism. It offers a comprehensive analysis to the notions of neoliberal ideology and urban policies, neo-Capital city as catalyst for nation-building, and neo-Capitalist architecture as the reproduction of clone structures of western models. The paper focuses its critical analysis on the aspects of liveability in the contemporary Arab City and its socio-spatial structures and everyday urban reality. It reports on urban narratives based on archival records, urban projects, and investigations of governmental accounts to determine aspects of success and failure in projects of new capital cities and districts. It argues that cities are essentially social-spatial systems in which hierarchy is a fundamental element, the lack of which determines abject failure of their anticipated vision.

The aim of this paper is to present the use of 3D models and augmented reality (AR) to study and communicate architectural and urban values and, therefore, favor the development of dedicated forms of “smart heritage”. The study rises from a reflection on the concept of “heritage”, as defined in the international documents, intended as an evolving idea that puts together tangible and intangible aspects. Moreover, digital technologies favor “phygital” applications where the digital dimension support the traditional ones. In this way, AR allows the superimposition of multimedia information to heritage, respecting the historical matter of the artefacts, and supporting a “smart heritage” application. In particular, mobile AR, with real-time and ubiquitous visualizations, offers the opportunity to show past urban and architectural configurations to investigate and describe the transformations that have led to the current configuration, and consequently highlighting the present historical and architectural values of the buildings. Two case studies are presented: the square of St. Basilio Monastery, with its historical transformations, and the Basilica of Collemaggio, a pivotal building in the rites of “Perdonanza Celestiniana”.

Abstract Technology roadmaps have become an essential part of the European Commission’s (EC) nanotechnology policy strategies. They represent socio-technical landscapes and evolving pathways, suggesting the underlying or otherwise supportive metaphorical patterns and narrative structures. For the same reason, however, roadmaps are problematic assemblages: they can simplify and distort reality, and filter things that don’t fit. The presented study combines cognitive linguistics with narratology to scrutinise the European Commission’s nanotechnology roadmapping as a discursive formation. It targets the systematic metaphors in approximately two-hundred news and reports on nanotechnology, compiled ad hoc from the CORDIS database (between the years 1999–2015). It is argued that the identified metaphors correspond to a discourse topology of ‘locations’, ‘events’, and their structures, especially as regards to the dilemma of ‘path dependence’, overcoming ‘knowledge gaps’, and reaching ‘nanoworld’. These are accompanied by a narrative climax of developing mature science policy model, in the arrangement of actions and roles for the European governments, science (nanotechnology), policy, and the public. The study demonstrates how systematic metaphors engage all the actors in the narrative of ‘innovation journey’ to form stabilised structures of meaning, that is, spatio-temporal consolidation of nanotechnology policy. It is imperative to continuously assess the context of such consolidation, being less overt but not necessarily less effective, in privileging some meanings, interests, and practices over the others, thereby excluding other political alternatives.

PurposeThe purpose of this paper is twofold. First, it highlights the emergence of Generation Z and the interface of its members with the tourism system. Second, by way of a theoretical model, the paper provides a more holistic approach to understanding Generation Z travel experiences in which the emphasis is shifted from the destination to the traveller. This is in keeping with the trend which lays more emphasis on people rather than landscape.Design/methodology/approachThis is qualitative research founded on an interpretive (constructivist) paradigm. Selecting Generation Z as the subject locates this study under generational theory and assumesprima faciea socially constructed reality. The paper is based on research conducted in New Zealand aimed at understanding the travel experiences of inbound Generation Z travellers. Data were collected from 12 semi-structured interviews lasting about 30 min each and from 5 blogs. Nvivo 11 programme was used in analysing data and developing themes. Core categories and related themes were generated forming building blocks of a theoretical model.FindingsFindings revealed interplay of multiple factors in Generation Z’s travel experiences at a destination. The factors are global in nature, destination centric and those which are immediate or proximate to the individual. To fully grasp the notion of experience requires the gestalt of the three as well as pre-trip, during-trip and post-trip factors.Research limitations/implicationsThe impact of significant events upon participants is assumed. A specific analysis of the events and the magnitude of their influence on the individual participants may be necessary.Practical implicationsDestination marketers tend to concentrate on psychological aspects to appeal to the traveller. The focus, in this case, is creating an attractive image in the mind of travellers to get them to come to the destination. This research suggests shifting the focus to understanding the evolving traveller.Social implicationsGovernments and tourism purveyors may require an ever-increasing budget to map out strategies to meet the continuously morphing needs of the future traveller. The constantly evolving global environment necessitates greater flexibility in institutional framework with less bureaucratic bottlenecks.Originality/valueGeneration Z is a relatively new entrant into the tourism market which makes this research relevant and timely. The paucity of academic literature on a generation which is contemporaneously in its “highly influenceable” period of life and entering adulthood in an increasingly changing world is further credence for this research. A more holistic theoretical model to understanding Generation Z travel experience is proposed.

Internet of Things (IoT) is regarded as a next-generation wave of Information Technology (IT) after the widespread emergence of the Internet and mobile communication technologies. IoT supports information exchange and networked interaction of appliances, vehicles and other objects, making sensing and actuation possible in a low-cost and smart manner. On the other hand, cyber-physical systems (CPS) are described as the engineered systems which are built upon the tight integration of the cyber entities (e.g., computation, communication, and control) and the physical things (natural and man-made systems governed by the laws of physics). The IoT and CPS are not isolated technologies. Rather it can be said that IoT is the base or enabling technology for CPS and CPS is considered as the grownup development of IoT, completing the IoT notion and vision. Both are merged into closed-loop, providing mechanisms for conceptualizing, and realizing all aspects of the networked composed systems that are monitored and controlled by computing algorithms and are tightly coupled among users and the Internet. That is, the hardware and the software entities are intertwined, and they typically function on different time and location-based scales. In fact, the linking between the cyber and the physical world is enabled by IoT (through sensors and actuators). CPS that includes traditional embedded and control systems are supposed to be transformed by the evolving and innovative methodologies and engineering of IoT. Several applications areas of IoT and CPS are smart building, smart transport, automated vehicles, smart cities, smart grid, smart manufacturing, smart agriculture, smart healthcare, smart supply chain and logistics, etc. Though CPS and IoT have significant overlaps, they differ in terms of engineering aspects. Engineering IoT systems revolves around the uniquely identifiable and internet-connected devices and embedded systems; whereas engineering CPS requires a strong emphasis on the relationship between computation aspects (complex software) and the physical entities (hardware). Engineering CPS is challenging because there is no defined and fixed boundary and relationship between the cyber and physical worlds. In CPS, diverse constituent parts are composed and collaborated together to create unified systems with global behaviour. These systems need to be ensured in terms of dependability, safety, security, efficiency, and adherence to real‐time constraints. Hence, designing CPS requires knowledge of multidisciplinary areas such as sensing technologies, distributed systems, pervasive and ubiquitous computing, real-time computing, computer networking, control theory, signal processing, embedded systems, etc. CPS, along with the continuous evolving IoT, has posed several challenges. For example, the enormous amount of data collected from the physical things makes it difficult for Big Data management and analytics that includes data normalization, data aggregation, data mining, pattern extraction and information visualization. Similarly, the future IoT and CPS need standardized abstraction and architecture that will allow modular designing and engineering of IoT and CPS in global and synergetic applications. Another challenging concern of IoT and CPS is the security and reliability of the components and systems. Although IoT and CPS have attracted the attention of the research communities and several ideas and solutions are proposed, there are still huge possibilities for innovative propositions to make IoT and CPS vision successful. The major challenges and research scopes include system design and implementation, computing and communication, system architecture and integration, application-based implementations, fault tolerance, designing efficient algorithms and protocols, availability and reliability, security and privacy, energy-efficiency and sustainability, etc. It is our great privilege to present Volume 21, Issue 3 of Scalable Computing: Practice and Experience. We had received 30 research papers and out of which 14 papers are selected for publication. The objective of this special issue is to explore and report recent advances and disseminate state-of-the-art research related to IoT, CPS and the enabling and associated technologies. The special issue will present new dimensions of research to researchers and industry professionals with regard to IoT and CPS. Vivek Kumar Prasad and Madhuri D Bhavsar in the paper titled "Monitoring and Prediction of SLA for IoT based Cloud described the mechanisms for monitoring by using the concept of reinforcement learning and prediction of the cloud resources, which forms the critical parts of cloud expertise in support of controlling and evolution of the IT resources and has been implemented using LSTM. The proper utilization of the resources will generate revenues to the provider and also increases the trust factor of the provider of cloud services. For experimental analysis, four parameters have been used i.e. CPU utilization, disk read/write throughput and memory utilization. Kasture et al. in the paper titled "Comparative Study of Speaker Recognition Techniques in IoT Devices for Text Independent Negative Recognition" compared the performance of features which are used in state of art speaker recognition models and analyse variants of Mel frequency cepstrum coefficients (MFCC) predominantly used in feature extraction which can be further incorporated and used in various smart devices. Mahesh Kumar Singh and Om Prakash Rishi in the paper titled "Event Driven Recommendation System for E-Commerce using Knowledge based Collaborative Filtering Technique" proposed a novel system that uses a knowledge base generated from knowledge graph to identify the domain knowledge of users, items, and relationships among these, knowledge graph is a labelled multidimensional directed graph that represents the relationship among the users and the items. The proposed approach uses about 100 percent of users' participation in the form of activities during navigation of the web site. Thus, the system expects under the users' interest that is beneficial for both seller and buyer. The proposed system is compared with baseline methods in area of recommendation system using three parameters: precision, recall and NDGA through online and offline evaluation studies with user data and it is observed that proposed system is better as compared to other baseline systems. Benbrahim et al. in the paper titled "Deep Convolutional Neural Network with TensorFlow and Keras to Classify Skin Cancer" proposed a novel classification model to classify skin tumours in images using Deep Learning methodology and the proposed system was tested on HAM10000 dataset comprising of 10,015 dermatoscopic images and the results observed that the proposed system is accurate in order of 94.06\% in validation set and 93.93\% in the test set. Devi B et al. in the paper titled "Deadlock Free Resource Management Technique for IoT-Based Post Disaster Recovery Systems" proposed a new class of techniques that do not perform stringent testing before allocating the resources but still ensure that the system is deadlock-free and the overhead is also minimal. The proposed technique suggests reserving a portion of the resources to ensure no deadlock would occur. The correctness of the technique is proved in the form of theorems. The average turnaround time is approximately 18\% lower for the proposed technique over Banker's algorithm and also an optimal overhead of O(m). Deep et al. in the paper titled "Access Management of User and Cyber-Physical Device in DBAAS According to Indian IT Laws Using Blockchain" proposed a novel blockchain solution to track the activities of employees managing cloud. Employee authentication and authorization are managed through the blockchain server. User authentication related data is stored in blockchain. The proposed work assists cloud companies to have better control over their employee's activities, thus help in preventing insider attack on User and Cyber-Physical Devices. Sumit Kumar and Jaspreet Singh in paper titled "Internet of Vehicles (IoV) over VANETS: Smart and Secure Communication using IoT" highlighted a detailed description of Internet of Vehicles (IoV) with current applications, architectures, communication technologies, routing protocols and different issues. The researchers also elaborated research challenges and trade-off between security and privacy in area of IoV. Deore et al. in the paper titled "A New Approach for Navigation and Traffic Signs Indication Using Map Integrated Augmented Reality for Self-Driving Cars" proposed a new approach to supplement the technology used in self-driving cards for perception. The proposed approach uses Augmented Reality to create and augment artificial objects of navigational signs and traffic signals based on vehicles location to reality. This approach help navigate the vehicle even if the road infrastructure does not have very good sign indications and marking. The approach was tested locally by creating a local navigational system and a smartphone based augmented reality app. The approach performed better than the conventional method as the objects were clearer in the frame which made it each for the object detection to detect them. Bhardwaj et al. in the paper titled "A Framework to Systematically Analyse the Trustworthiness of Nodes for Securing IoV Interactions" performed literature on IoV and Trust and proposed a Hybrid Trust model that seperates the malicious and trusted nodes to secure the interaction of vehicle in IoV. To test the model, simulation was conducted on varied threshold values. And results observed that PDR of trusted node is 0.63 which is higher as compared to PDR of malicious node which is 0.15. And on the basis of PDR, number of available hops and Trust Dynamics the malicious nodes are identified and discarded. Saniya Zahoor and Roohie Naaz Mir in the paper titled "A Parallelization Based Data Management Framework for Pervasive IoT Applications" highlighted the recent studies and related information in data management for pervasive IoT applications having limited resources. The paper also proposes a parallelization-based data management framework for resource-constrained pervasive applications of IoT. The comparison of the proposed framework is done with the sequential approach through simulations and empirical data analysis. The results show an improvement in energy, processing, and storage requirements for the processing of data on the IoT device in the proposed framework as compared to the sequential approach. Patel et al. in the paper titled "Performance Analysis of Video ON-Demand and Live Video Streaming Using Cloud Based Services" presented a review of video analysis over the LVS \& VoDS video application. The researchers compared different messaging brokers which helps to deliver each frame in a distributed pipeline to analyze the impact on two message brokers for video analysis to achieve LVS & VoS using AWS elemental services. In addition, the researchers also analysed the Kafka configuration parameter for reliability on full-service-mode. Saniya Zahoor and Roohie Naaz Mir in the paper titled "Design and Modeling of Resource-Constrained IoT Based Body Area Networks" presented the design and modeling of a resource-constrained BAN System and also discussed the various scenarios of BAN in context of resource constraints. The Researchers also proposed an Advanced Edge Clustering (AEC) approach to manage the resources such as energy, storage, and processing of BAN devices while performing real-time data capture of critical health parameters and detection of abnormal patterns. The comparison of the AEC approach is done with the Stable Election Protocol (SEP) through simulations and empirical data analysis. The results show an improvement in energy, processing time and storage requirements for the processing of data on BAN devices in AEC as compared to SEP. Neelam Saleem Khan and Mohammad Ahsan Chishti in the paper titled "Security Challenges in Fog and IoT, Blockchain Technology and Cell Tree Solutions: A Review" outlined major authentication issues in IoT, map their existing solutions and further tabulate Fog and IoT security loopholes. Furthermore, this paper presents Blockchain, a decentralized distributed technology as one of the solutions for authentication issues in IoT. In addition, the researchers discussed the strength of Blockchain technology, work done in this field, its adoption in COVID-19 fight and tabulate various challenges in Blockchain technology. The researchers also proposed Cell Tree architecture as another solution to address some of the security issues in IoT, outlined its advantages over Blockchain technology and tabulated some future course to stir some attempts in this area. Bhadwal et al. in the paper titled "A Machine Translation System from Hindi to Sanskrit Language Using Rule Based Approach" proposed a rule-based machine translation system to bridge the language barrier between Hindi and Sanskrit Language by converting any test in Hindi to Sanskrit. The results are produced in the form of two confusion matrices wherein a total of 50 random sentences and 100 tokens (Hindi words or phrases) were taken for system evaluation. The semantic evaluation of 100 tokens produce an accuracy of 94\% while the pragmatic analysis of 50 sentences produce an accuracy of around 86\%. Hence, the proposed system can be used to understand the whole translation process and can further be employed as a tool for learning as well as teaching. Further, this application can be embedded in local communication based assisting Internet of Things (IoT) devices like Alexa or Google Assistant. Anshu Kumar Dwivedi and A.K. Sharma in the paper titled "NEEF: A Novel Energy Efficient Fuzzy Logic Based Clustering Protocol for Wireless Sensor Network" proposed a a deterministic novel energy efficient fuzzy logic-based clustering protocol (NEEF) which considers primary and secondary factors in fuzzy logic system while selecting cluster heads. After selection of cluster heads, non-cluster head nodes use fuzzy logic for prudent selection of their cluster head for cluster formation. NEEF is simulated and compared with two recent state of the art protocols, namely SCHFTL and DFCR under two scenarios. Simulation results unveil better performance by balancing the load and improvement in terms of stability period, packets forwarded to the base station, improved average energy and extended lifetime.

Abstract The latitudinal dependence of inertial oscillation (IO) in a diurnally evolving atmospheric boundary layer (ABL) is examined using a large-eddy simulation (LES). Previous studies that used LES were unable to simulate such an ABL on a time scale of several days because of high computational cost. By using an LES with a simple radiation scheme, the present study has succeeded in simulating the diurnal behavior of the ABL above the nocturnal stable layer as a function of the latitude. The reality of model simulations is confirmed by comparison with Wangara experiments. It is shown that a resonance-like amplification of the IO appears only at two latitudes where the respective inertial periods are 24 and 12 h. A horizontal wind oscillation with strong dependence on latitude is observed during an entire day. The oscillation amplitude is maximized slightly above the nocturnal stable layer. It seems that this maximum corresponds to the nocturnal low-level jet, whose mechanism is explained in terms of IO. Thus, the IO shown in the present study includes the nocturnal jet as a structural component. It is also shown that a wavelike structure whose phases propagate downward with near-inertial frequency at each latitude is observed above the ABL at all latitudes. This feature is consistent with that of inertia–gravity waves propagating energy upward. Previous observational and model studies indicate the dominance of inertia–gravity waves with inertial frequencies in the middle and high latitudes in the lower stratosphere. Results of the present study suggest that the IO in the ABL is a possible source of such inertia–gravity waves.