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4,222 result(s) for "INFORMATION HANDLING"
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Parental COVID‐19–related health information practises, sources, evaluations and needs: A qualitative interview study
Background Parents of infants and young children may have specific health information needs and preferences, as they are responsible for their children's health. COVID‐19 posed many challenges for families, not least in terms of the constantly updated disease‐prevention guidelines. However, little is known about parents' experiences with this unprecedented situation, that is, how and where they seek, use and evaluate COVID‐19 (child)‐specific health information. We aimed to find out more about this to provide insights to health (information) providers when communicating pandemic information to parents. Methods We conducted semistructured telephone interviews (August to October 2020) with a purposively selected sample of 20 German‐speaking and 10 Arabic‐speaking parents of children up to 4 years old. Recruitment occurred through multiple channels, including childcare institutions and social media. Qualitative content analysis of the interview transcripts illustrates the main differences between the two groups. Results By the time the interviews were conducted (mid‐2020), some parents reported to seek information less actively or not at all, compared to the beginning of COVID‐19. German speakers frequently used Google to obtain information, whereas Arabic speakers mentioned social media (particularly Facebook) as a central source. However, medical providers were the most trusted source for child health. Though determining the credibility of online information was difficult for some parents, others, mostly German speakers (middle–high education), were aware of some author‐related criteria. When deciding on information use, parents often rely on their own judgement and gut instinct. Besides the necessity to disseminate information via multiple outlets to reach all parents, Arabic speakers desired audio‐visual and translation tools to facilitate understanding. Discussion and Public Conclusion Apart from education, language and knowledge of the health system and of the attributes of credible information may determine its quality and consequent decisions. There seems to be a considerable need to foster knowledge about reliable information sources, a greater understanding of the range of quality criteria and specific support for nonnative speakers, not least to better inform parents' decision‐making. Patient and Public Contribution A parent panel (n = 7) contributed to gathering ideas regarding recruitment, discussing initial results and the choice of topics and questions for a second interview phase.
A Novel Intuitionistic Fuzzy Rough Sets-Based Clustering Model Based on Aczel–Alsina Aggregation Operators
Based on the approximation spaces, the interval-valued intuitionistic fuzzy rough set (IVIFRS) plays an essential role in coping with the uncertainty and ambiguity of the information obtained whenever human opinion is modeled. Moreover, a family of flexible t-norm (TNrM) and t-conorm (TCNrM) known as the Aczel–Alsina t-norm (AATNrM) and t-conorm (AATCNrM) plays a significant role in handling information, especially from the unit interval. This article introduces a novel clustering model based on IFRS using the AATNrM and AATCNrM. The developed clustering model is based on the aggregation operators (AOs) defined for the IFRS using AATNrM and AATCNrM. The developed model improves the level of accuracy by addressing the uncertain and ambiguous information. Furthermore, the developed model is applied to the segmentation problem, considering the information about the income and spending scores of the customers. Using the developed AOs, suitable customers are targeted for marketing based on the provided information. Consequently, the proposed model is the most appropriate technique for the segmentation problems. Furthermore, the results obtained at different values of the involved parameters are studied.
Structures generated in a multiagent system performing information fusion in peer-to-peer resource-constrained networks
There has recently been a major advance with respect to how information fusion is performed. Information fusion has gone from being conceived as a purely hierarchical procedure, as is the case of traditional military applications, to now being regarded collaboratively, as holonic fusion, which is better suited for civil applications and edge organizations. The above paradigm shift is being boosted as information fusion gains ground in different non-military areas, and human–computer and machine–machine communications, where holarchies, which are more flexible structures than ordinary, static hierarchies, become more widespread. This paper focuses on showing how holonic structures tend to be generated when there are constraints on resources (energy, available messages, time, etc.) for interactions based on a set of fully intercommunicating elements (peers) whose components fuse information as a means of optimizing the impact of vagueness and uncertainty present message exchanges. Holon formation is studied generically based on a multiagent system model, and an example of its possible operation is shown. Holonic structures have a series of advantages, such as adaptability, to sudden changes in the environment or its composition, are somewhat autonomous and are capable of cooperating in order to achieve a common goal. This can be useful when the shortage of resources prevents communications or when the system components start to fail.
Toolkit for Web Development Based on Web Based Information System
this paper intends to exhibit the social and authoritative parts of electronic data frameworks. Presently we are in the 21st century and two decades will be finished soon. A century ago has been considered as the ascending of Information and correspondence innovation. These days there is expanding advancement of online data frameworks for social and hierarchical divisions Electronic data frameworks in light of web innovations which shares distinctive kinds of Internet convention and assumes an essential part to gather, putting away, gathering and imparting information from various sources and spread data initially. The speed and productivity of electronic data framework which incorporates both neighborhood and worldwide systems, databases and diverse sorts of program for data preparing makes social and hierarchical life less demanding for individuals. The online applications keep up activities of administration. Such applications incorporates quality administration forms, life cycle of authoritative objective, actualizing and sharing creation plan This electronic innovation affects social connection, social conduct and different association issues.
Exploring the causes of stress and coping with it amongst doctoral level students
Stress may hinder the efficiency and performance of individuals. However, little attention has been given to academic stress especially stress experienced by doctoral level university students. Understanding and comprehending the causes of their stress and relevant coping strategies is indeed essential for their better performance. Hence, to address this gap, the purpose of the study was to explore the stressors produced by academic environment and the stress coping strategies adopted by doctoral scholars. Unit of analysis were the individuals enrolled in doctoral studies at the Business School of University Kebangsaan, Malaysia. In-depth analysis of eight doctoral level students revealed that they, in general, share the same experiences and adopt similar coping strategies as were reported to have been experienced and adopted by students of other disciplines (i.e., nursing or psychology students). However, a lack of ability to manage information, information ambiguity and ambiguity regarding quality of one's own work emerged as the major stressors in this study, which have not previously been commonly highlighted by past researches. This study, therefore, reveals that information collection, scarcity of information resources, information ambiguity and work related ambiguity are major stressors for doctoral students. Further, it is also identified that social support, problem diversion, effective information management and time management are significant stress coping techniques. The implications and future recommendation are also discussed in the paper.
Exploring the causes of stress and coping with it amongst doctoral level students: Highlighting the importance of information collection and management
Stress may hinder the efficiency and performance of individuals. However, little attention has been given to academic stress especially stress experienced by doctoral level university students. Understanding and comprehending the causes of their stress and relevant coping strategies is indeed essential for their better performance. Hence, to address this gap, the purpose of the study was to explore the stressors produced by academic environment and the stress coping strategies adopted by doctoral scholars. Unit of analysis were the individuals enrolled in doctoral studies at the Business School of University Kebangsaan, Malaysia. In-depth analysis of eight doctoral level students revealed that they, in general, share the same experiences and adopt similar coping strategies as were reported to have been experienced and adopted by students of other disciplines (i.e., nursing or psychology students). However, a lack of ability to manage information, information ambiguity and ambiguity regarding quality of one's own work emerged as the major stressors in this study, which have not previously been commonly highlighted by past researches. This study, therefore, reveals that information collection, scarcity of information resources, information ambiguity and work related ambiguity are major stressors for doctoral students. Further, it is also identified that social support, problem diversion, effective information management and time management are significant stress coping techniques. The implications and future recommendation are also discussed in the paper.
Natural Categories and Human Kinds
The notion of 'natural kinds' has been central to contemporary discussions of metaphysics and philosophy of science. Although explicitly articulated by nineteenth-century philosophers like Mill, Whewell and Venn, it has a much older history dating back to Plato and Aristotle. In recent years, essentialism has been the dominant account of natural kinds among philosophers, but the essentialist view has encountered resistance, especially among naturalist metaphysicians and philosophers of science. Informed by detailed examination of classification in the natural and social sciences, this book argues against essentialism and for a naturalist account of natural kinds. By looking at case studies drawn from diverse scientific disciplines, from fluid mechanics to virology and polymer science to psychiatry, the author argues that natural kinds are nodes in causal networks. On the basis of this account, he maintains that there can be natural kinds in the social sciences as well as the natural sciences.
The problem of pattern and scale in ecology
It is argued that the problem of pattern and scale is the central problem in ecology, unifying population biology and ecosystems science, and marrying basic and applied ecology. Applied challenges, such as the prediction of the ecological causes and consequences of global climate change, require the interfacing of phenomena that occur on very different scales of space, time, and ecological organization. Furthermore, there is no single natural scale at which ecological phenomena should be studied; systems generally show characteristic variability on a range of spatial, temporal, and organizational scales. The observer imposes a perceptual bias, a filter through which the system is viewed. This has fundamental evolutionary significance, since every organism is an \"observer\" of the environment, and life history adaptations such as dispersal and dormancy alter the perceptual scales of the species, and the observed variability. It likewise has fundamental significance for our own study of ecological systems, since the patterns that are unique to any range of scales will have unique causes and biological consequences. The key to prediction and understanding lies in the elucidation of mechanisms underlying observed patterns. Typically, these mechanisms operate at different scales than those on which the patterns are observed; in some cases, the patterns must be understood as emerging from the collective behaviors of large ensembles of smaller scale units. In other cases, the pattern is imposed by larger scale constraints. Examination of such phenomena requires the study of how pattern and variability change with the scale of description, and the development of laws for simplification, aggregation, and scaling. Examples are given from the marine and terrestrial literatures.
Business Value of Information Technology: A Study of Electronic Data Interchange
A great deal of controversy exists about the impact of information technology on firm performance. While some authors have reported positive impacts, others have found negative or no impacts. This study focuses on Electronic Data Interchange (EDI) technology. Many of the problems in this line of research are overcome in this study by conducting a careful analysis of the performance data of the past decade gathered from the assembly centers of Chrysler Corporation. This study estimates the dollar benefits of improved information exchanges between Chrysler and its suppliers that result from using EDI. After controlling for variations in operational complexity arising from mix, volume, parts complexity, model, and engineering changes, the savings per vehicle that result from improved information exchanges are estimated to be about 60. Including the additional savings from electronic document preparation and transmission, the total benefits of EDI per vehicle amount to over 100. System wide, this translates to annual savings of $220 million for the company.
Understanding engineering email: the development of a taxonomy for identifying and classifying engineering work
It is widely believed that email is increasingly becoming the medium where in collaborative engineering work is done; yet, this assumption has not been properly examined. Thus, the extent of engineering information contained in emails and their potential importance within the context of knowledge management is unknown. To address this question, a study was undertaken with a large aerospace propulsion company to investigate the role and characteristics of email communication in engineering design projects. This paper describes the development of a taxonomy and classification method for achieving an understanding of email content and hence its use. The proposed approach is based on relevant techniques for analyzing communication and design text. The method codes the content of e-mail based on a hierarchical scheme by assigning email to categories and sub-categories that denote what topics the email is about, for which communicative purpose it has been sent, and whether it shows evidence of engineering work. The method is applied to a corpus related to the full life cycle of an engineering design project. Metrics for validation are discussed and applied to a sample case. Exemplar findings are presented to illustrate the type of investigations the method supports—including eliciting knowledge about project performance and identifying and accessing engineering knowledge. Finally, lessons from the development of the method, including a discussion of iteratively adaptive variants used to arrive at the final outcome, are discussed.