Reliabilism and the extra value of knowledge

Goldman and Olsson (2009) have responded to the common charge that reliabilist theories of knowledge are incapable of accounting for the value knowledge has beyond mere true belief. We examine their “conditional probability solution” in detail, and show that it does not succeed. The conditional probability relation is too weak to support instrumental value, and the specific relation they describe is inessential to the value of knowledge. At best, they have described conditions in which knowledge indicates that additional epistemic value is likely to be forthcoming in the future. We also argue that their motive analogy breaks down. The problem, we conclude, is that being produced by a reliable process is not sufficient for a belief to be justified.     

Introducing a novel method to assess cumulative steroid concentrations: increased hair cortisol concentrations over 6 months in medicated patients with depression

Depression has been linked to increased cortisol concentrations using point measures taken from urine, blood, or saliva samples. However, with regard to hypercortisolism-induced consequences, long-term cumulative cortisol burden is of relevance. Our objective was to use hair analysis as a new method to assess cortisol exposure over 6 months in depressed patients and healthy controls. We examined 23 depressed patients (8 men and 15 women, mean age: 41.6 years (?±?standard deviation (SD), 13.1 years); mean duration of current depressive episode 9 months (?±?SD, 13 months)) and 64 healthy controls, matched for age and gender. Cortisol concentrations in two 3-cm hair segments from near to the scalp were analyzed, representing cortisol secretion during the 6 months prior to sampling. Compared with healthy individuals, depressed patients had higher hair cortisol concentrations in the first (mean?±?SD: 26.7?±?20.8 vs. 18.7?±?11.5?pg/mg, p?相似文献   

GazeAlyze: a MATLAB toolbox for the analysis of eye movement data

This article presents GazeAlyze, a software package, written as a MATLAB (MathWorks Inc., Natick, MA) toolbox developed for the analysis of eye movement data. GazeAlyze was developed for the batch processing of multiple data files and was designed as a framework with extendable modules. GazeAlyze encompasses the main functions of the entire processing queue of eye movement data to static visual stimuli. This includes detecting and filtering artifacts, detecting events, generating regions of interest, generating spread sheets for further statistical analysis, and providing methods for the visualization of results, such as path plots and fixation heat maps. All functions can be controlled through graphical user interfaces. GazeAlyze includes functions for correcting eye movement data for the displacement of the head relative to the camera after calibration in fixed head mounts. The preprocessing and event detection methods in GazeAlyze are based on the software ILAB 3.6.8 Gitelman (Behav Res Methods Instrum Comput 34(4), 605-612, 2002). GazeAlyze is distributed free of charge under the terms of the GNU public license and allows code modifications to be made so that the program's performance can be adjusted according to a user's scientific requirements.     

Electromyography diagnosis of laryngeal paralysis

The differential diagnosis of laryngeal muscle paralysis can be improved by electromyographical and neurographical analysis. The findings of 30 patients with recurrent paralysis were put forward and compared with the results among 30 test people.     

Structural analysis of subjective categorical data

A general approach to the analysis of subjective categorical data is considered, in which agreement matrices of two or more raters are directly expressed in terms of error and agreement parameters. The method provides focused analyses of ratings from several raters for whom ratings have measurement error distributions that may induce bias in the evaluation of substantive questions of interest. Each rater's judgment process is modeled as a mixture of two components: an error variable that is unique for the rater in question as well as an agreement variable that operationalizes the true values of the units of observation. The statistical problems of identification, estimation, and testing of such measurement models are discussed.The general model is applied in several special cases. The most simple situation is that underlying Cohen's Kappa, where two raters place units into unordered categories. The model provides a generalization and systematization of the Kappa-idea to correct for agreement by chance. In applications with typical research designs, including a between-subjects design and a mixed within-subjects, between-subjects design, the model is shown to disentangle structural and measurement components of the observations, thereby controlling for possible confounding effects of systematic rater bias. Situations considered include the case of more than two raters as well as the case of ordered categories. The different analyses are illustrated by means of real data sets.The authors wish to thank Lawrence Hubert and Ivo Molenaar for helpful and detailed comments on a previous draft of this paper. Thanks are also due to Jens Möller und Bernd Strauß for the data from the 1992 Olympic Games. We thank the editor and three anonymous reviewers for valuable comments on an earlier draft.     

Social categorization and fit detection under cognitive load: efficient or effortful?

Participants perceived a discussion between members of two social categories in a name‐matching paradigm. Discussions either exhibited inter‐category fit, defined as a covariation of category membership and the category members' attitude positions, or not. Orthogonally, there was cognitive load at encoding, load at retrieval, or no concurrent load. Memory for the statements and memory for the speaker of a statement were affected by load with little evidence for fit effects. Conversely, category memory, reconstructive category guessing and perceived fit were affected by inter‐category fit with little evidence for load effects. The results suggest that category activation is sensitive to inter‐category fit and that fit detection is robust against moderate amounts of cognitive load. Copyright © 2005 John Wiley & Sons, Ltd.     

Psychotherapie bei Patienten mit koronarer Herzkrankheit

Psychosomatisch-somatopsychische Interaktionen sind bei Koronarpatienten häufig und verlaufsrelevant. Seit den 1960er-Jahren kommen daher psychosoziale Interventionen zur Verbesserung von Befinden und Krankheitsverlauf zum Einsatz. Neben psychoedukativen und unspezifisch-supportiven Angeboten oder Entspannungsverfahren finden sich auch explizit psychotherapeutische Interventionen. Diese beabsichtigen einerseits, durch Reduktion von Stressbelastungen und Förderung gesundheitsbewusster Verhaltensweisen den Krankheitsverlauf zu verlangsamen. Zuletzt wurde zudem auch die Psychotherapie psychischer Komorbiditäten untersucht. Hier spielt die prognostisch relevante Depression eine besondere Rolle. In der größten Psychotherapiestudie bei Koronarpatienten, der ENRICHD-Studie, wurde bei 2481 Infarktpatienten mit Depression oder mangelnder sozialer Unterstützung eine maximal halbjährige kognitive Verhaltenstherapie eingesetzt. Diese führte zur deutlichen Besserung der Depressivität; bei hoher Spontanremissionsrate in der Kontrollgruppe blieb der Nettoeffekt jedoch bescheiden. Eine Lebensverlängerung wurde in der Interventionsgruppe nicht erreicht. Die Befundlage verlangt differenzielle Indikationsstellungen und behandlungstechnische Weiterentwicklungen der therapeutischen Konzepte bzw. die Erprobung anderer Therapieverfahren, erlaubt jedoch noch keine evidenzbasierte allgemeine Behandlungsempfehlung. Therapieentscheidungen stützen sich heute auf die Würdigung des Einzelfalls, auf gut belegte subjektiven Therapieeffekte, theoretische Annahmen über Stressbewältigungs- und Entspannungsverfahren sowie die an anderen Patientenkollektiven gewonnenen Wirksamkeitsnachweise psychotherapeutischer Verfahren. Dabei sind generell eine Beachtung der kardialen Situation und der typischen Problembereiche der koronaren Herzkrankheit (KHK) sowie eine gute Abstimmung mit den somatischen Behandlern wichtig.     

作为权宜道德的技术伦理

通过对四种传统伦理观在面对高新技术时的困惑、局限及其根源的分析,提出了以亚里士多德的智慧伦理和笛卡儿的权宜道德为基础,在尊重遗产价值和选择价值的同时,以灵活具体的道德规则代替抽象不变的道德原则和规范.发展了7条解决技术伦理问题的战略,并且强调技术伦理的有效贯彻关键在于将技术伦理变为制度伦理.