Selection procedure for adaptation devices helping car by driver with disability

2018 ◽  
Vol 121 ◽  
pp. 363-372
Author(s):  
Beata Stasiak-Cieślak

The vehicle's equipment in specialized adaptations for drivers with disabilities requires knowledge of many issues, both anatomical, technical, procedural and psychological. In Poland, there are not many experts who have experience in comprehensive customer service with specific needs while driving. The article presents assumptions used to develop an algorithm for the selection of adaptive devices. The algorithm has the form of an expert database and contains: a description of possible dysfunctions, rules for the selection of adaptive devices and offers of European companies regarding specific adaptive solutions. The algorithm developed the knowledge and practice in the field of functional tests carried out in the Automotive Service Centre for the Disabled at the Institute of Motor Transport and serving people with difficult motor dysfunctions. The continuous development of adaptive instrumentation makes it convenient conditions for realizing the important need of mobility of people with disabilities. However, the process by which a disabled person has to pass to get a converted car is often complicated and time-consuming. Adaptation of a car is a very difficult task that requires specialist knowledge and experience. Presentation of existing procedures: from a simple Adaptation Selection Module to a more complicated algorithm, it should pay attention to the need to implement such solutions, among others for the needs of driving instructors or certifying doctors.

Methodology ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 177-188 ◽  
Author(s):  
Martin Schultze ◽  
Michael Eid

Abstract. In the construction of scales intended for the use in cross-cultural studies, the selection of items needs to be guided not only by traditional criteria of item quality, but has to take information about the measurement invariance of the scale into account. We present an approach to automated item selection which depicts the process as a combinatorial optimization problem and aims at finding a scale which fulfils predefined target criteria – such as measurement invariance across cultures. The search for an optimal solution is performed using an adaptation of the [Formula: see text] Ant System algorithm. The approach is illustrated using an application to item selection for a personality scale assuming measurement invariance across multiple countries.


Author(s):  
YuE Kravchenko ◽  
SV Ivanov ◽  
DS Kravchenko ◽  
EI Frolova ◽  
SP Chumakov

Selection of antibodies using phage display involves the preliminary cloning of the repertoire of sequences encoding antigen-binding domains into phagemid, which is considered the bottleneck of the method, limiting the resulting diversity of libraries and leading to the loss of poorly represented variants before the start of the selection procedure. Selection in cell-free conditions using a ribosomal display is devoid from this drawback, however is highly sensitive to PCR artifacts and the RNase contamination. The aim of the study was to test the efficiency of a combination of both methods, including pre-selection in a cell-free system to enrich the source library, followed by cloning and final selection using phage display. This approach may eliminate the shortcomings of each method and increase the efficiency of selection. For selection, alpaca VHH antibody sequences suitable for building an immune library were used due to the lack of VL domains. Analysis of immune libraries from the genes of the VH3, VHH3 and VH4 families showed that the VHH antibodies share in the VH3 and VH4 gene groups is insignificant, and selection from the combined library is less effective than from the VHH3 family of sequences. We found that the combination of ribosomal and phage displays leads to a higher enrichment of high-affinity fragments and avoids the loss of the original diversity during cloning. The combined method allowed us to obtain a greater number of different high-affinity sequences, and all the tested VHH fragments were able to specifically recognize the target, including the total protein extracts of cell cultures.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Colin Griesbach ◽  
Benjamin Säfken ◽  
Elisabeth Waldmann

Abstract Gradient boosting from the field of statistical learning is widely known as a powerful framework for estimation and selection of predictor effects in various regression models by adapting concepts from classification theory. Current boosting approaches also offer methods accounting for random effects and thus enable prediction of mixed models for longitudinal and clustered data. However, these approaches include several flaws resulting in unbalanced effect selection with falsely induced shrinkage and a low convergence rate on the one hand and biased estimates of the random effects on the other hand. We therefore propose a new boosting algorithm which explicitly accounts for the random structure by excluding it from the selection procedure, properly correcting the random effects estimates and in addition providing likelihood-based estimation of the random effects variance structure. The new algorithm offers an organic and unbiased fitting approach, which is shown via simulations and data examples.


2016 ◽  
Vol 8 (4) ◽  
pp. 504-510
Author(s):  
Gunjan M. Sanjeev ◽  
Richard Teare

Purpose The paper aims to profile the theme issue of Worldwide Hospitality and Tourism Themes titled “How is the need for innovation being addressed by the Indian hospitality industry?” with reference to the experiences of the theme editor, contributors from the industry and academia and the theme issue outcomes. Design/methodology/approach The paper uses structured questions to enable the theme editor to reflect on the rationale for their theme issue question, the starting-point, the selection of the writing team and material and the editorial process. Findings It highlights recent innovations that have taken place in the Indian hospitality industry especially in the areas of customer service, cost competitiveness, culinary management, revenue management and technology. Practical implications As hotel sector investment in India intensifies, this theme issue will be of interest to hoteliers, policy makers, analysts and others interested in the role that innovation can play in helping to facilitate differentiation between competing hotel products and services. Originality/value There is limited literature available on industry innovations in the Indian context. All the papers in this theme issue were written after several cycles of interaction between academics and practitioners and so they incorporate real–time, relevant and contemporary data.


2016 ◽  
Vol 37 (1) ◽  
pp. 55-66 ◽  
Author(s):  
Piotr Sawicki ◽  
Marcin Kiciński ◽  
Szymon Fierek

This paper deals with the problem of selection the most suitable trip-modelling tool (TMT), which is a part of the more complex integrated transport planning system (ITPS) at the regional scale. Since an application of TMT is not autonomous and several different users exist the selection problem is not a trivial. In this paper, an original five-phase selection procedure is presented. The first phase consists in specifica¬tion of both, detailed expectations of all identified users and technical requirements of ITPS. Second phase deals with research on available TMT while a third one is concentrated on defining a comprehensive set of criteria. In this phase critical criteria as well as selection criteria are defined. First one is utilised to eliminate unacceptable TMTs in phase four and second one to evaluate and select most adequate TMT in phase five. In the paper an exemplary application of this procedure is presented. The authors have defined 2 critical criteria and a set of 19 selection criteria. The last one is divided into 3 main subsets, i.e. functional, technical and financial contexts of selection process. All the selection criteria are characterised by 43 sub-criteria and some of them are more detailed extended. Using this procedure 3 out of 6 alternative TMTs including Emme, Aimsun and Visum have been initially accepted and next evaluated. Finally, Visum has been selected and recommended for application into ITPS.


Author(s):  
Dusan N. Sormaz ◽  
Pravin Khurana ◽  
Ajit Wadatkar

Process selection as a part of CAPP has captured significant attention in CAPP research. Procedures have been developed for backward and forward algorithms in process selection. Most of these procedures lack the complete integration of process selection into CAPP system. In this paper, we present the results of the development and prototype implementation for process selection module for hole making operations for integration with Math Based Manufacturing System already in use in industrial partner. We have developed architecture and implemented module for rule-based machining process selection of hole making operations. The architecture enables the interface from the Process Selection prototype to Math Based Manufacturing System (APPS). The prototype also includes the user interface for interaction with the process selection procedure. Actions for starting prototype from APPS, performing process selection steps and sending the result back to APPS have been developed and implemented.


2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Marina Tsurkan ◽  
◽  
David Mamagulashvili

The relevance of the article is caused by the necessity to use information technologies and digital methods during the selection and launch of regional participatory projects. The objective of the paper is to develop technical task pattern for PIMS of LISP projects with the emphasis on launching models and appropriate selection procedure for participatory projects that are to obtain the interbudgetary transfer in the form of grant. The article gives more accurate definition of the term «participatory project» in the area under study. The study demonstrates the best examples of IT use during the launch and selection of regional participatory projects. The paper sets out the key requirements to the participatory projects data management system. The results of the study are practically relevant for the government, project managers and scientists, engaged in digital economics and management.


1947 ◽  
Vol 39 (3) ◽  
pp. 195-199 ◽  
Author(s):  
Samuel F. Newkirk Jr.

2020 ◽  
Vol 42 (3) ◽  
Author(s):  
Michael Worboys ◽  
Elizabeth Toon

Abstract Since the arrival of Translational Medicine (TM), as both a term and movement in the late 1990s, it has been associated almost exclusively with attempts to accelerate the “translation” of research-laboratory findings to improve efficacy and outcomes in clinical practice (Krueger et al. in Hist Philos Life Sci 41:57, 2019). This framing privileges one source of change in medicine, that from bench-to-bedside. In this article we dig into the history of translation research to identify and discuss three other types of translational work in medicine that can also reshape ideas, practices, institutions, behaviours, or all of these, to produce transformations in clinical effectiveness. These are: (1) making accessible state-of-the-art knowledge and best practice across the medical profession; (2) remodelling and creating institutions to better develop and make available specialist knowledge and practice; and (3) improving public and patient understandings of disease prevention, symptoms and treatments. We do so by examining the work of William S. C. Copeman, a dominant figure in British rheumatology from the 1930 through the late 1960s. Throughout his long career, Copeman blended approaches to “translation” in order to produce transformative change in clinical medicine, making his work an exemplar of our expanded notion of TM.


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