37 research outputs found
Humanisme na Heidegger
Dirk Derom heeft in Leuven de studie van 'maatschappelijk assistent' aangevat en drie jaar later afgerond. Hij vulde deze aan met een diploma in de wijsbegeerte (VUB). Hier heeft hij zich, onder impuls van professor Marc Van den Bossche, vooral gericht op de fenomenologie. Heidegger nam hier een dominante positie in, maar anderen volgden. Momenteel is hij doctoraatsstudent aan de VUB waarbij professor Marc Van den Bossche mijn promoter is. Zijn interesse gaat uit naar o.a. pragmatisme, praktische filosofie en hermeneutische hulpverlening.Mijn onderzoek richt zich op het werk van Heidegger in de periode 1919-1927. Het humanisme dat ik hieruit distilleer, breekt met het heersende humanisme én met de gangbare secundaire literatuur over Heidegger. Bovendien reikt het verder dan de humanistische analyse die Heidegger zelf ooit wilde geven. Aan de hand van een nauwkeurige lezing van de voorgenoemde periode wordt de argumentatie zodanig opgebouwd dat de opening tot een ander-s humanisme naar voren komt.
Zo een ander-s humanisme verzet zich tegen de afwijzing van een Daseinsanalyse. Dit ander-s humanisme ziet daarentegen in de Daseinsanalyse de mogelijkheid een humanisme uit te bouwen dat recht doet aan de mens, zijn omgeving en de rol die de mens in dit geheel speelt. Humanisme wordt zo een vastberaden bevraging van de humanistische attitude. Het hermeneutisch denken blijkt hier een weldadige voedingsbodem voor een humanisme dat uitgaat van een voortdurende wisselwerking tussen mens en wereld.
Op die manier biedt het een alternatief voor een rationeel én religieus dogmatisch denken. De stichtende Verlichtingsidee wordt op die manier genuanceerd. Verwevenheid, facticiteit en vastbeslotenheid blijken kernwoorden van een ander-s humanisme – woorden die de kernbegrippen autonomie, paternalisme, empirie, multiculturaliteit en hulpverlening herschrijven
Perception as a Dynamic Activation of Relational Matrices
Here we present an experimental model to be applied to the storage and
retrieval of information based on an associative information system’s sensory and motor state
change data, aiming to represent the dynamics of a dynamic perceptual system. The model
and database implementation use a universal information storage structure holding both data
and metadata within the same structure. This model is characterized by the emphasis on
associative information about the represented system derived from raw data, which are in
their turn produced by the associative system’s interactions with the environment. Instead of
defining objects using descriptive relations, this model stores relations between occurents
where the represented system is not replicated in its various components, but defined by its
relations when they occur. This model therefore represents the dynamics and interaction of
systems such as human perception, rather than imposing artificial boundaries and qualities.
In essence, the model is an alternative to perceptual knowledge accumulation, which, as we
show, can be applied to a database design
Perception as a Dynamic Activation of Relational Matrices
Here we present an experimental model to be applied to the storage and
retrieval of information based on an associative information system’s sensory and motor state
change data, aiming to represent the dynamics of a dynamic perceptual system. The model
and database implementation use a universal information storage structure holding both data
and metadata within the same structure. This model is characterized by the emphasis on
associative information about the represented system derived from raw data, which are in
their turn produced by the associative system’s interactions with the environment. Instead of
defining objects using descriptive relations, this model stores relations between occurents
where the represented system is not replicated in its various components, but defined by its
relations when they occur. This model therefore represents the dynamics and interaction of
systems such as human perception, rather than imposing artificial boundaries and qualities.
In essence, the model is an alternative to perceptual knowledge accumulation, which, as we
show, can be applied to a database design
High-level synthesis in Escherichia coli of the SV40 small-t antigen under control of the bacteriophage lambda pL promoter
History of lung transplantation
Lung transplantation nowadays is a well-accepted and routine treatment for well selected patients with terminal respiratory disease. However, it took several decades of experimental studies and clinical attempts to reach this success. In this paper, we describe the early experimental activity from the mid-forties until the early sixties. The first clinical attempt in humans was reported by Hardy and Webb in 1963 followed by others with short survival only except for one case by Derom et al. who lived for 10 months. Long-term successes were not reported until after the discovery of cyclosporine as a new immunosuppressive agent. Successful heart-lung transplantation (HLTx) for pulmonary vascular disease was performed by the Stanford group starting in 1981 while the Toronto group described good outcome after single-lung transplantation (SLTx) for pulmonary fibrosis in 1983 and after double-lung transplantation for emphysema in 1986. Further evolution in surgical techniques and in transplant type for the various forms of end-stage lung diseases are reviewed. The evolution in lung transplantation still continues nowadays with the use of pulmonary allografts coming from living-related donors, from donors after circulatory death, or after prior assessment and reconditioning during ex vivo lung perfusion (EVLP) in an attempt to overcome the critical shortage of suitable organs. Early outcome has significantly improved over the last three decades. Better treatment and prevention of chronic lung allograft dysfunction will hopefully result in further improvement of long-term survival after lung transplantation.status: Publishe
Systematic alteration of the nucleotide sequence preceding the translation initiation codon and the effects on bacterial expression of the cloned SV40 small-t antigen gene
Dataset for Linking Science with Media and Policy
<p>Data were webscraped from open-source portal <a href="https://www.researchportal.be/en">FRIS</a>. Aggregated media data were collected from <a href="https://www.belga.press/">BelgaPress</a>; policy data were collected from <a href="https://www.overton.io/">Overton.</a> No raw data were used. Anonimized dataset. See readme file for explanation.</p>
<p>For additional information, please contact [email protected]</p>
A minimal PKPD interaction model for evaluating synergy effects of combined NSCLC therapies
This paper introduces a mathematical compartmental formulation of dose-effect synergy modelling for multiple therapies in non small cell lung cancer (NSCLC): antiangiogenic, immuno- and radiotherapy. The model formulates the dose-effect relationship in a unified context, with tumor proliferating rates and necrotic tissue volume progression as a function of therapy management profiles. The model accounts for inter- and intra-response variability by using surface model response terms. Slow acting peripheral compartments such as fat and muscle for drug distribution are not modelled. This minimal pharmacokinetic-pharmacodynamic (PKPD) model is evaluated with reported data in mice from literature. A systematic analysis is performed by varying only radiotherapy profiles, while antiangiogenesis and immunotherapy are fixed to their initial profiles. Three radiotherapy protocols are selected from literature: (1) a single dose 5 Gy once weekly; (2) a dose of 5 Gy x 3 days followed by a 2 Gy x 3 days after two weeks and (3) a dose of 5 Gy + 2 x 0.075 Gy followed after two weeks by a 2 Gy + 2 x 0.075 Gy dose. A reduction of 28% in tumor end-volume after 30 days was observed in Protocol 2 when compared to Protocol 1. No changes in end-volume were observed between Protocol 2 and Protocol 3, this in agreement with other literature studies. Additional analysis on drug interaction suggested that higher synergy among drugs affects up to three-fold the tumor volume (increased synergy leads to significantly lower growth ratio and lower total tumor volume). Similarly, changes in patient response indicated that increased drug resistance leads to lower reduction rates of tumor volumes, with end-volume increased up to 25-30%. In conclusion, the proposed minimal PKPD model has physiological value and can be used to study therapy management protocols and is an aiding tool in the clinical decision making process. Although developed with data from mice studies, the model is scalable to NSCLC patients
