scholarly journals PNS324 A NOVEL APPROACH OF USING GRAPHICAL REPRESENTATION OF EQ-5D-3L DIMENSIONS, LEVELS, AND HEALTH STATES FOR ILLITERATE RESPONDENTS IN VALUATION STUDIES - AN EXAMPLE FROM MOROCCO

2019 ◽  
Vol 22 ◽  
pp. S819
Author(s):  
F. Al Sayah ◽  
A. Kooli ◽  
Y. Rouahi ◽  
Y. Allou ◽  
H. Zarrik ◽  
...  
2021 ◽  
Author(s):  
Candida Manelfi ◽  
Marica Gemei ◽  
Carmine Talarico ◽  
Carmen Cerchia ◽  
Andrea R. Beccari

Abstract The scaffold representation is widely employed to classify bioactive compounds on the basis of common core structures or correlate compound classes with specific biological activities.In this paper, we present a novel approach called “Molecular Anatomy” as a flexible and unbiased molecular scaffold-based metrics to cluster large set of compounds. We introduce a set of nine molecular representations at different abstraction levels, combined with fragmentation rules, to define a multi-dimensional network of hierarchically interconnected molecular frameworks. We demonstrate that the introduction of a flexible scaffold definition and multiple pruning rules is an effective method to identify relevant chemical moieties. This approach allows to cluster together different molecular species with similar biological activity, capturing most of the structure activity information, in particular when libraries containing a huge number of singletons are analyzed. We also propose a procedure to derive a network visualization that allows a full graphical representation of compounds dataset, permitting an efficient navigation in the scaffold’s space and significantly contributing to perform high quality SAR analysis.


2017 ◽  
Vol 13 (2) ◽  
pp. 266-278 ◽  
Author(s):  
Esben Rahbek Gjerdrum Pedersen ◽  
Linne Marie Lauesen ◽  
Arno Kourula

Purpose The purpose of this paper is to examine to what extent the conventional stakeholder model mirrors managerial perceptions of the stakeholder environment in the Swedish fashion industry. The authors aim to adopt a novel approach to stakeholder measurement, as the traditional stakeholder model is constrained by its static two-dimensional nature, which captures neither the nuances of the stakeholder literature nor the dynamics of the firm’s stakeholder universe. Design/methodology/approach Empirically, the paper is based on findings from a survey among 492 Swedish fashion manufacturers and retailers. Findings The paper reports significant discrepancy between the conventional stakeholder model and the perceptions of real-life managers of the stakeholder environment. On the surface, their understanding is more in line with the managerial model of the firm from which the stakeholder literature originally departs. It is argued, however, that the discrepancy may be rooted in technology rather than theory as the stakeholder model is constrained by its static two-dimensional nature, which captures neither the nuances of the stakeholder literature nor the dynamics of the firm’s stakeholder universe. The paper, therefore, introduces an animated alternative to the conventional stakeholder model that provides a richer graphical representation of a firm’s stakeholder universe. Research limitations/implications The paper refers to the open-ended questions in the survey in terms of descriptive statistics, and not the entire quantitative measures in the survey. This is because these questions are crucial to the authors’ approach to the suggested new stakeholder model, which is not tested quantitatively, but should be perceived as explorative – as a qualitative outcome of the survey. The survey is conducted through the web in the Swedish fashion industry only; thus; the authors’ suggested model needs further quantitative qualification, which the authors plead for in future research. Originality/value The originality of the paper is its novel approach to stakeholder measurement based on the perceptions of real-life managers of the stakeholder environment of the Swedish fashion industry. The traditional stakeholder model is constrained by its static two-dimensional nature, which the paper’s animated three-dimensional alternative provides a richer graphical representation of a firm’s stakeholder universe.


Medwave ◽  
2021 ◽  
Vol 21 (03) ◽  
pp. e8164-e8164
Author(s):  
Bastián Schuller-Martínez ◽  
Nicolás Meza ◽  
Javier Pérez-Bracchiglione ◽  
Juan Víctor Ariel Franco ◽  
Cristóbal Loezar ◽  
...  

The significant increase in scientific evidence production has led to the creation of methods to facilitate evidence review and synthesis. This has turned, this has resulted in the emergence of different designs depending on the review’s objective. Evidence gap maps constitute a novel approach for literature review. They are thematic collections of a broad field of evidence, using a systematic search strategy that identifies gaps in knowledge and engages, early on, the target audience to design a friendly graphic product. Evidence maps are a tool to be considered in the roster of options available for research funders in that they are particularly useful for evidence-based decision-making and evidence-based policy development. The most commonly used formats to display the findings of evidence gap search designs are the bubble plot and the intervention-outcome framework. This article corresponds to the sixth of a series of narrative reviews on general topics of biostatistics and clinical epidemiology. The purpose of this review is to describe the principal features of evidence gap maps, highlighting their main objectives and utility, exploring the most commonly used mapping formats, and comparing this approach with other evidence synthesis designs.


2021 ◽  
Author(s):  
Candida Manelfi ◽  
Marica Gemei ◽  
Carmine Talarico ◽  
Carmen Cerchia ◽  
Andrea R. Beccari

Abstract The scaffold representation is widely employed to classify bioactive compounds on the basis of common core structures or correlate compound classes with specific biological activities. In this paper, we present a novel approach called “Molecular Anatomy” as a flexible and unbiased molecular scaffold-based metrics to cluster large set of compounds. We introduce a set of nine molecular representations at different abstraction levels, combined with fragmentation rules, to define a multi-dimensional network of hierarchically interconnected molecular frameworks. We demonstrate that the introduction of a flexible scaffold definition and multiple pruning rules is an effective method to identify relevant chemical moieties. This approach allows to cluster together different molecular species with similar biological activity, capturing most of the structure activity information, in particular when libraries containing a huge number of singletons are analyzed. We also propose a procedure to derive a network visualization that allows a full graphical representation of compounds dataset, permitting an efficient navigation in the scaffold’s space and significantly contributing to perform high quality SAR analysis.


Author(s):  
DA RUAN ◽  
FRANK HARDEMAN ◽  
LUSINE MKRTCHYAN

Safety Culture describes how safety issues are managed within an enterprise. How to make safety culture strong and sustainable? How to be sure that safety is a prime responsibility or main focus for all types of activity? How to improve safety culture and how to identify the most vulnerable issues of safety culture? These are important questions for safety culture. Huge amount of studies focus on identifying and building the hierarchy of the main indicators of safety culture. However, there are only few methods to assess an organization's safety culture and those methods are often straightforward. In this paper we describe a novel approach for safety culture assessment by using Belief Degree-Distributed Fuzzy Cognitive Maps (BDD-FCMs). Cognitive maps were initially presented for graphical representation of uncertain causal reasoning. Later Kosko suggested Fuzzy Cognitive Maps FCMs in which users freely express their opinions in linguistic terms instead of crisp numbers. However, it is not always easy to assign some linguistic term to a causal link. By using BDD-FCMs, causal links are expressed by belief structures which enable getting the links evaluations with distributions over the linguistic terms. In addition, we propose a general framework to construct BDD-FCMs by directly using belief structures or other types of structures such as intervals, linguistic terms, or crisp numbers. The proposed framework provides a more flexible tool for causal reasoning as it handles different structures to evaluate causal links.


Polymers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 2768
Author(s):  
Mahir Hashimov ◽  
Ákos Kuki ◽  
Tibor Nagy ◽  
Miklós Zsuga ◽  
Sándor Kéki

The characteristics of the polyalkylene oxide polyether polyols highly influence the properties of final polyurethane products. As a novel approach, in order to gain structural information, the recently invented data mining procedures, namely the Mass-remainder analysis (MARA) and the Multistep Mass-remainder analysis (M-MARA) are successfully applied for the processing of tandem mass spectrometry (MS/MS) data of various industrially important polyether polyols. M-MARA yields an ultra-simplified graphical representation of the MS/MS spectra and sorts the product ions based on their double bond equivalent (DBE) values. The maximum DBE values unambiguously differentiate among the various polyether polyols. Accordingly, the characteristic DBE values were 0, 1 for the linear diol polyethers, 0, 1, 2 for the three-arm, and 0, 1 2, 3, 4 for the six-arm polyether polyols. In addition, it was also found that the characteristic collision energy necessary for the optimum fragmentation yield depended linearly on the molecular weight of the polyols. This relationship offers an easy way for instrument tuning to gain structural information.


2008 ◽  
Vol 9 (3) ◽  
pp. 282-292 ◽  
Author(s):  
Robyn L. Tate ◽  
Michael Perdices

AbstractThe International Classification of Functioning, Disability and Health (ICF) is a taxonomy that classifies health states and health conditions. It is a complex and detailed taxonomy, with 1,424 categories, covering body structures and functions, activities and participation, and environmental factors. The complexity and detail, however, can serve as a barrier in its everyday application. A number of strategies have been developed to facilitate use of the ICF in clinical and research practice, including the development of ‘core sets’. In this article, we present another method which will assist both the newcomer and those more familiar with the ICF. Along with a description of the ICF structure and contents, the article presents a graphical representation of ‘ICF trees’ as a vehicle to more readily grasp the detail of the ICF structure and contents and facilitate its use in the area of acquired brain impairment.


Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2002 ◽  
Author(s):  
Hassan Khan ◽  
Adnan Khan ◽  
Maysaa Al-Qurashi ◽  
Rasool Shah ◽  
Dumitru Baleanu

The present paper is related to the analytical solutions of some heat like equations, using a novel approach with Caputo operator. The work is carried out mainly with the use of an effective and straight procedure of the Iterative Laplace transform method. The proposed method provides the series form solution that has the desired rate of convergence towards the exact solution of the problems. It is observed that the suggested method provides closed-form solutions. The reliability of the method is confirmed with the help of some illustrative examples. The graphical representation has been made for both fractional and integer-order solutions. Numerical solutions that are in close contact with the exact solutions to the problems are investigated. Moreover, the sample implementation of the present method supports the importance of the method to solve other fractional-order problems in sciences and engineering.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Candida Manelfi ◽  
Marica Gemei ◽  
Carmine Talarico ◽  
Carmen Cerchia ◽  
Anna Fava ◽  
...  

AbstractThe scaffold representation is widely employed to classify bioactive compounds on the basis of common core structures or correlate compound classes with specific biological activities. In this paper, we present a novel approach called “Molecular Anatomy” as a flexible and unbiased molecular scaffold-based metrics to cluster large set of compounds. We introduce a set of nine molecular representations at different abstraction levels, combined with fragmentation rules, to define a multi-dimensional network of hierarchically interconnected molecular frameworks. We demonstrate that the introduction of a flexible scaffold definition and multiple pruning rules is an effective method to identify relevant chemical moieties. This approach allows to cluster together active molecules belonging to different molecular classes, capturing most of the structure activity information, in particular when libraries containing a huge number of singletons are analyzed. We also propose a procedure to derive a network visualization that allows a full graphical representation of compounds dataset, permitting an efficient navigation in the scaffold’s space and significantly contributing to perform high quality SAR analysis. The protocol is freely available as a web interface at https://ma.exscalate.eu.


2019 ◽  
Vol 476 (24) ◽  
pp. 3705-3719 ◽  
Author(s):  
Avani Vyas ◽  
Umamaheswar Duvvuri ◽  
Kirill Kiselyov

Platinum-containing drugs such as cisplatin and carboplatin are routinely used for the treatment of many solid tumors including squamous cell carcinoma of the head and neck (SCCHN). However, SCCHN resistance to platinum compounds is well documented. The resistance to platinum has been linked to the activity of divalent transporter ATP7B, which pumps platinum from the cytoplasm into lysosomes, decreasing its concentration in the cytoplasm. Several cancer models show increased expression of ATP7B; however, the reason for such an increase is not known. Here we show a strong positive correlation between mRNA levels of TMEM16A and ATP7B in human SCCHN tumors. TMEM16A overexpression and depletion in SCCHN cell lines caused parallel changes in the ATP7B mRNA levels. The ATP7B increase in TMEM16A-overexpressing cells was reversed by suppression of NADPH oxidase 2 (NOX2), by the antioxidant N-Acetyl-Cysteine (NAC) and by copper chelation using cuprizone and bathocuproine sulphonate (BCS). Pretreatment with either chelator significantly increased cisplatin's sensitivity, particularly in the context of TMEM16A overexpression. We propose that increased oxidative stress in TMEM16A-overexpressing cells liberates the chelated copper in the cytoplasm, leading to the transcriptional activation of ATP7B expression. This, in turn, decreases the efficacy of platinum compounds by promoting their vesicular sequestration. We think that such a new explanation of the mechanism of SCCHN tumors’ platinum resistance identifies novel approach to treating these tumors.


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