A Process Model to Guide Selection of Essential Curriculum Content

1996 ◽  
Vol 35 (8) ◽  
pp. 341-347
Author(s):  
Winifred A Morse ◽  
Sheila Corcoran-Perry
Author(s):  
Zhiao Zhao ◽  
Yong Zhang ◽  
Guanjun Liu ◽  
Jing Qiu

Sample allocation and selection technology is of great significance in the test plan design of prognostics validation. Considering the existing researches, the importance of prognostics samples of different moments is not considered in the degradation process of a single failure. Normally, prognostics samples are generated under the same time interval mechanism. However, a prognostics system may have low prognostics accuracy because of the small quantity of failure degradation and measurement randomness in the early stage of a failure degradation process. Historical degradation data onto equipment failure modes are collected, and the degradation process model based on the multi-stage Wiener process is established. Based on the multi-stage Wiener process model, we choose four parameters to describe different degradation stages in a degradation process. According to four parameters, the sample selection weight of each degradation stage is calculated and the weight of each degradation stage is used to select prognostics samples. Taking a bearing wear fault of a helicopter transmission device as an example, its degradation process is established and sample selection weights are calculated. According to the sample selection weight of each degradation process, we accomplish the prognostics sample selection of the bearing wear fault. The results show that the prognostics sample selection method proposed in this article has good applicability.


2019 ◽  
Vol 6 (3) ◽  
pp. 511-528 ◽  
Author(s):  
Vikas Gupta ◽  
Kavita Khanna ◽  
Raj Kumar Gupta

Purpose The purpose of this paper is to evaluate and analyse the street food preferences of foreign tourists in Delhi. It will also try to find out the reasons for the selection of these foods by the tourists. Design/methodology/approach The data collection was done from 670 foreign tourists at the departure gates of Indira Gandhi International Airport, New Delhi. This study involved location intercept technique through face-to-face interviews and filling of structured questionnaire for taking the responses. The street food preference of the tourists is analysed using analytical hierarchy process model. Findings This study identified 17 street foods which were amongst the most preferred by the foreign tourist, with chicken tikka being the most favoured and paddu being least preferred. It was also found that tourists usually prefer street foods which are mild in taste and are hygienically prepared. Practical implications This study suggests that Indian street food presents a huge market for the foreign tourists that needs to be nurtured. It will help the stakeholders in the street food businesses in Delhi to devise strategies to promote food tourism, modify and align tourism products, enhance farming techniques and ultimately improve the destination image and branding of the place. Originality/value This is the first attempt to try to explore tourists’ street food preference and will help in maximising the influx of foreign tourists, as the concept of culinary tourism is on rise in India.


2019 ◽  
Vol 257 ◽  
pp. 02007
Author(s):  
Qing Guo ◽  
Shuzhen Yang ◽  
Tao Yu

In view of the technological requirements of the development of green shipbuilding technology on the effect of ship surface rust removal, the premixed abrasive jet technology is used to remove rust. Because the rust removal of ships with premixed abrasive jet is influenced by multiple parameters and has a high nonlinear relationship between various parameters, the accurate process model of it is difficult to establish. On the basis of artificial neural network modelling technology, the model of ship rust removal with premixed abrasive jet is built. The model takes the system pressure, the target distance, the moving speed of the spray gun and the particle size of the abrasive as input parameters, and the score which can most reflect the effect of the rust removal as output parameter. The test results show that the prediction error of the model is small, and it can better reflect the process rule between the effect of the premixed abrasive jet and the process parameters. We can guide the selection of process parameters according to the model.


SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402093253
Author(s):  
Bruno F. Abrantes

Internationalization is a theme of great interest to practitioners worldwide, intensified by the increasing business environmental turbulence in last decades. The latter led to the proliferation and expanding of research into new areas, while neoclassic archetypes were conversely dubbed as, supposedly “old-fashioned.” In this context, a review article aims at breaking with such dogma, rejuvenating prior knowledge, and contextualizing it in current time. Hence, this research focus on a seminal framework, the well-known Uppsala Model, purposively selected as being an exception, as it keeps capturing the interest of scholars and is still one of the most cited frameworks in this area. Thus, a theoretical review addresses the evolution of the model in the aftermath of more than 40 years of research, and contextualizes it within the state-of-the-art of internationalization-related theories. An integrative review process is applied to a purposeful selection of descending frameworks of the model, circumscribed to the last decade (2009–2019). An enduring utility is positively observed, grounded on a reactive adaption purpose. In parallel, a shift is assisted from the neoclassic paradigm to a behavioral paradigm pillared on a capability-building logic for the adaption toward volatile, uncertain, complex, and ambiguous environments. This led to the extension of the Uppsala paradigm from a pure internationalization process model to enter the realm of the international capabilization framework.


1989 ◽  
Vol 20 (2) ◽  
pp. 170-184 ◽  
Author(s):  
Nickola Wolf Nelson

The rationale and methods for conducting curriculum-based language assessment and intervention are discussed. Such procedures involve the use of curriculum content and contexts for measuring a student's intervention needs and progress in such a way that they are relevant to the academic setting. Five kinds of curriculum are presented. Techniques are then described for addressing assessment questions related to the language demands of curriculum and a student's current abilities. A framework for managing the complexities of school language is used to outline assessment and intervention needs as they relate to modifying students' abilities and the curriculum. In the final section, selection of a service delivery model and individualized intervention targets are discussed.


1981 ◽  
Vol 4 (2) ◽  
pp. 225-235 ◽  
Author(s):  
H. C. Plotkin ◽  
F. J. Odling-Smee

AbstractThe fundamental tenet of contemporary sociobiology, namely the assumption of a single process of evolution involving the selection of genes, is critically examined. An alternative multiple-level, multiple-process model of evolution is presented which posits that the primary process that operates via selection upon the genes cannot account for certain kinds of biological phenomena, especially complex, learned, social behaviours. The primary process has evolved subsidiary evolutionary levels and processes that act to bridge the gap between genes and these complex behaviours. The subsidiary levels are development, individual animal learning, and socioculture itself. It is argued that individual learning is pivotal to the derivation and biological analysis of culture. The differences between cultural and noncultural societies are stressed. It is concluded that such a multiple-level model of evolution can form the basis for reconciling opposing sides in the sociobiology debate.


2021 ◽  
Author(s):  
Vaishali Dhanoa ◽  
Conny Walchshofer ◽  
Andreas Hinterreiter ◽  
Holger Stitz ◽  
Eduard Gröller ◽  
...  

Dashboards are used ubiquitously to gain and present insights into data by means of interactive visualizations.To bridge the gap between non-expert dashboard users and potentially complex datasets and/or visualizations, a variety of onboarding strategies are employed, including videos, narration, and interactive tutorials. We propose a process model for dashboard onboarding which formalizes and unifies such diverse onboarding strategies. Our model introduces the onboarding loop alongside the dashboard usage loop. Unpacking the onboarding loop reveals how each onboarding strategy combines selected building blocks of the dashboard with an onboarding narrative. Specific means are applied to this narration sequence for onboarding, which results in onboarding artifacts that are presented to the user via an interface. We concretize these concepts by showing how our process model can be used to describe a selection of real-world onboarding examples. Finally, we discuss how our model can serve as an actionable blueprint for developing new onboarding systems.


2019 ◽  
Vol 09 (02) ◽  
pp. 146-155 ◽  
Author(s):  
Hamadou Tahirou Abdoulkarim ◽  
Seydou Harouna Fatouma ◽  
Bomboma Kalgora

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8591
Author(s):  
Krzysztof Jakubowski ◽  
Jacek Paś ◽  
Adam Rosiński

This article discusses issues regarding electromagnetic interference generated unintentionally by transport telematics systems and electronic security systems (ESS) located within a railway area. These systems should operate correctly, since they ensure the safety of both vehicles and passengers. The electronic devices they use are exposed to electromagnetic interference that may lead to incorrect ESS functioning. In order to determine the impact of electromagnetic interference on ESS, the authors measured unintentional low-frequency electromagnetic field generated by MV—15 and 30 kV—power lines. This enabled determining the areas with maximum values of electromagnetic interference. The next stage of the research was to develop an ESS operating process model that takes into account the impact of unintentionally generated electromagnetic interference on the operating process. Introducing the electromagnetic interference impact coefficient enables a rational selection of solutions aimed at protecting against electromagnetic interference through the application of technical and organizational measures.


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