Pädagogisierung und Selftracking

2021 ◽  
Author(s):  
Benjamin Bonn

Self-tracking and educational ambitions both strive to change people. Using a multidimensional analysis model of pedagogical communication (cf. Kade, 2004), this study identifies self-tracking as a context for (self-) pedagogization. The empirical basis is formed by semi-structured expert interviews with users and through the process of document analyses. Insights gained show the importance of the self-observation of users and their relationship to self-tracking instruments. Within these relationships, the situational interweaving of personal and external expectations as well as the handling of individually significant information about past performances and future possibilities play a central role.

2021 ◽  
Vol 12 (8) ◽  
Author(s):  
David Della-Morte ◽  
Francesca Pacifici ◽  
Camillo Ricordi ◽  
Renato Massoud ◽  
Valentina Rovella ◽  
...  

AbstractThe pathophysiology of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and especially of its complications is still not fully understood. In fact, a very high number of patients with COVID-19 die because of thromboembolic causes. A role of plasminogen, as precursor of fibrinolysis, has been hypothesized. In this study, we aimed to investigate the association between plasminogen levels and COVID-19-related outcomes in a population of 55 infected Caucasian patients (mean age: 69.8 ± 14.3, 41.8% female). Low levels of plasminogen were significantly associated with inflammatory markers (CRP, PCT, and IL-6), markers of coagulation (D-dimer, INR, and APTT), and markers of organ dysfunctions (high fasting blood glucose and decrease in the glomerular filtration rate). A multidimensional analysis model, including the correlation of the expression of coagulation with inflammatory parameters, indicated that plasminogen tended to cluster together with IL-6, hence suggesting a common pathway of activation during disease’s complication. Moreover, low levels of plasminogen strongly correlated with mortality in COVID-19 patients even after multiple adjustments for presence of confounding. These data suggest that plasminogen may play a pivotal role in controlling the complex mechanisms beyond the COVID-19 complications, and may be useful both as biomarker for prognosis and for therapeutic target against this extremely aggressive infection.


2013 ◽  
Vol 4 (3) ◽  
pp. 89-102 ◽  
Author(s):  
Mónica Aresta ◽  
Luís Pedro ◽  
Carlos Santos ◽  
António Moreira

Social media is changing the way individuals collaborate, learn and express themselves, allowing for the construction of an identity and a reputation that encompasses over many other digital spaces. In a context where the online identity of individuals may reveal the sum of their experiences and skills, reflecting the path of their personal, academic and professional lives, this paper introduces a conceptual framework and a model developed to analyse the construction of the self in online environments. The model was used in a research study developed at University of Aveiro, Portugal, aiming to analyse how identity is built and managed in formal and informal digital environments and reveals the existence of two main online identity profiles – context driven and user-driven identity profiles.


2021 ◽  
Vol 37 (2) ◽  
pp. 88-97
Author(s):  
Dominique Allen

Although we live in an era in which government and private organisations collect large amounts of data, this has not filtered through to anti-discrimination and equality law in Australia. Government and its agencies have little incentive to collect information, nor does business. Neither group bears any obligation to tackle discrimination if they detect it. Yet the self-regulating enforcement model used in equality law is premised on the idea that information will be available to aid voluntary compliance. This article examines the nature of the data organisations that are currently required to collect and identify significant information gaps. It argues that it is not enough to simply fill those gaps with information; increased data collection needs to be accompanied by the obligation to address inequality if that is what the data reveals.


2012 ◽  
Vol 1 (1) ◽  
Author(s):  
Anass El haddadi ◽  
Bernard Dousset ◽  
Ilham Berrada

The strategy concept has changed dramatically: from a long range planning to strategic planning then to strategic responsiveness. This response implies moving from a concept of change to a concept of continuous evolution. In our context, the competitive intelligence system presented aims to improve decision‐making in all aspects of business life, particularly for offensive and innovative decisions. In the paper we present XPlor EveryWhere, our competitive intelligence system based on a multidimensional analysis model for mobile devices. The objective of this system is to capture the information environment in all dimensions of a decision problem, with the exploitation of information by analyzing the evolution of their interactions.


2019 ◽  
Author(s):  
Nooshin Ghavidel ◽  
Zohreh Mahmoodi ◽  
Zhila Sharifipour ◽  
Tayebeh Fasihi Harandi

Abstract Background Tuberculosis is a chronic infectious disease that, if not treated and managed properly, increases the Multi Drug Resistance (MDR). Self-management behaviors can reduce the progression of illness. Although various factors affect self-management, no study has not been conducted on the self-management tuberculosis through path analysis. This study evaluated the factors affecting self-management in tuberculosis patients using path analysis. Methods This study was a cross-sectional study and was done on 133 non prisoner tuberculosis (TB) patients that referred to all health centers in Karaj, Iran from March 2016 to February 2017.The structured questionnaire was applied. Data were analyzed with SPSS-17 and Lisrel 8.8, utilizing statistical path analysis to evaluate the relationships between self-management and its related factors. Results 52.3% of the participants in the study were female and 47.7% were male. Respondents of this research were 46.9% smear-positive, 9.4% smear- negative, 43.8% extra-pulmonary TB. Fit indices confirmed the model fitness and logical relationships between the variables according to the conceptual model (X2=49.80, df=25). The final path model showed that the age (B=0.84), attitude (B=0.10), marital status (B=0.04) and house condition (B=0.03) impact self-management just through direct path. Knowledge (B=0.83) and education (0.16) affect the self-management through both direct and indirect paths. The education indirectly affects the self-management through both knowledge and attitude. knowledge indirectly impact self-management through attitude. In other words knowledge and attitude mediate the relationship between some factors and self-management. Conclusions This study provided an empirical model that illustrates the relationships between self-management and related factors in TB Patients. The most important factor that affects self-management through both direct and indirect paths was knowledge. The knowledge can be the target of interventions in support of self-management


2013 ◽  
Vol 353-356 ◽  
pp. 1850-1857 ◽  
Author(s):  
Xiao Bin Hu ◽  
Wen Xia Li ◽  
Hao Xiang ◽  
Hui Gao He

The self-centering wall including both prestressed tendons and dampers is proposed in this paper, and the corresponding general finite element numerical analysis model, simplified numerical analysis model and theoretical analysis model were established respectively, focusing on how to simulate the prestressed tendons, dampers and the horizontal connection between the wall and the foundation. The numerical simulations of the self-centering wall subjected to reversal loading were performed using the above two numerical analysis models, and the results were compared to those obtained from theoretical analysis. It is indicated that the hysteresis curve of the self-centering wall under reversal loading exhibits flag shape and no residual displacement exists after the wall is unloaded completely. The numerical analysis results match well with those from theoretical analysis, which shows the two numerical analysis models proposed in this paper can be well used to capture the mechanical behavior of the self-centering wall.


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