This article is an attempt to clarify a confusion in the brain death literature between logical sufficiency/necessity and natural sufficiency/necessity. We focus on arguments that draw conclusions regarding empirical matters of fact from conceptual or ontological definitions. Specifically, we critically analyze arguments by Tom Tomlinson and Michael B. Green and Daniel Wikler. which, respectively, confuse logical and natural sufficiency and logical and natural necessity. Our own conclusion is that it is especially important in discussing the brain death issue to observe (...) the distinction between logical and natural sufficiency/necessity in a strict fashion. (shrink)

Athenaeus preserves an intriguing description by the otherwise unknown writerMoschion of a giant grain-ship, the Syracusia, built by Hiero II of Syracuse in thelater third century B.C.1 The account is extremely circumstantial. Besides a fulldescription of the ship's layout, Moschion gives such details as the name of thearchitect , the size of the construction-force , the construction time , details of the launching arrangements devised byArchimedes, and even the procedure for judging crimes committed on board.

Athenaeus preserves an intriguing description by the otherwise unknown writerMoschion of a giant grain-ship, the Syracusia, built by Hiero II of Syracuse in thelater third century B.C.1 The account is extremely circumstantial. Besides a fulldescription of the ship's layout, Moschion gives such details as the name of thearchitect, the size of the construction-force, the construction time, details of the launching arrangements devised byArchimedes, and even the procedure for judging crimes committed on board.

PurposeTo evaluate the relationship between intraocular straylight perception and: (i) contrast sensitivity (CS), (ii) halo size, and (iii) hazard recognition distance, in the presence and absence of glare.Subjects and methodsParticipants were 15 (5 female) ophthalmologically healthy adults, aged 54.6–80.6 (median: 67.2) years. Intraocular straylight (log s) was measured using a straylight meter (C-Quant; Oculus GmbH, Wetzlar, Germany). CS with glare was measured clinically using the Optovist I device (Vistec Inc., Olching, Germany) and also within a driving simulator using Landolt Cs. (...) These were presented under both static or dynamic viewing conditions, and either with or without glare. Hazard detection distance was measured for simulated obstacles of varying contrast. For this, the participant was required to maintain a speed of 60 km/h within a custom-built nighttime driving simulator. Glare was simulated by LED arrays, moved by cable robots to mimic an oncoming car’s headlights. Halo size (“halometry”) was measured by moving Landolt Cs outward originating from the center of a static glare source. The outcome measure from “halometry” was the radius of the halo (angular extent, in degrees visual angle).ResultsThe correlation between intraocular straylight perception, log s, and hazard recognition distance under glare was poor for the low contrast obstacles (leading/subdominant eye: r = 0.27/r = 0.34). Conversely, log CS measured with glare strongly predicted hazard recognition distances under glare. This was true both when log CS was measured using a clinical device (Optovist I: r = 0.93) and within the driving simulator, under static (r = 0.69) and dynamic (r = 0.61) conditions, and also with “halometry” (r = 0.70). Glare reduced log CS and hazard recognition distance for almost all visual function parameters.ConclusionIntraocular straylight was a poor predictor of visual function and driving performance within this experiment. Conversely, CS was a strong predictor of both hazard recognition and halo extent. The presence of glare and motion lead to a degradation of CS in a driving simulator. Future studies are necessary to evaluate the effectiveness of all above-mentioned vision-related parameters for predicting fitness to drive under real-life conditions. (shrink)

Recognising and responding appropriately to emotions is critical to adaptive psychological functioning. Psychopathic traits (e.g. callous, manipulative, impulsive, antisocial) are related to differences in recognition and response when emotion is conveyed through facial expressions and language. Use of emotional music stimuli represents a promising approach to improve our understanding of the specific emotion processing difficulties underlying psychopathic traits because it decouples recognition of emotion from cues directly conveyed by other people (e.g. facial signals). In Experiment 1, participants listened to clips (...) of emotional music and identified the emotional content (Sample 1, N = 196) or reported on their feelings elicited by the music (Sample 2, N = 197). Participants accurately recognised (t(195) = 32.78, p <.001, d = 4.69) and reported feelings consistent with (t(196) = 7.84, p <.001, d = 1.12) the emotion conveyed in the music. However, psychopathic traits were associated with reduced emotion recognition accuracy (F(1, 191) = 19.39, p <.001) and reduced likelihood of feeling the emotion (F(1, 193) = 35.45, p <.001), particularly for fearful music. In Experiment 2, we replicated findings for broad difficulties with emotion recognition (Sample 3, N = 179) and emotional resonance (Sample 4, N = 199) associated with psychopathic traits. Results offer new insight into emotion recognition and response difficulties that are associated with psychopathic traits. (shrink)

Objective: To determine whether the marks in the third year Objective Structured Clinical Examination were affected by the collusion reported by the students themselves on an electronic discussion board.Design: A review of the student discussion, examiners’ feedback and a comparison of the marks obtained on the 2 days of the OSCE.Participants: 255 third year medical students.Setting: An OSCE consisting of 15 stations, administered on three sites over 2 days at a UK medical school.Results: 40 students contributed to the discussion on (...) the electronic discussion board. The main points raised were perceived inequity between students who did, or did not, have prior knowledge of the station content, and the lack of honesty and professionalism of their peers. Most contributors claimed to have received, or knew of others receiving, prior knowledge, but none confessed to passing on information. No significant difference was observed in the overall mark for the OSCE on day 1 ) and day 2 ). On day 2, marks were considerably greater for four stations and markedly lower for three stations. It was not obvious why collusion should affect these station marks. A clear indication of the effects of collusion could only be obtained from a single subsection of an individual station where 82 students on day 2 incorrectly gave the diagnosis from day 1.Conclusion: Marks do not provide a sound inference of student collusion in an OSCE and may mask the aspects of professional development of students. (shrink)

The Mental Health Act 2007 introduced Deprivation of Liberty safeguards into the Mental Capacity Act 2005 with potentially far reaching resource implications. There appears to be no scientific data regarding the prevalence of deprivation of liberty in clinical settings such as hospitals and nursing homes. We examined how many patients across a whole Trust area in Wales were subject to some lack of capacity, how well documented this was and how many were potentially deprived of their liberty. We found that (...) no patient was deprived of their liberty, but 8% lacked capacity to make either basic or complex decisions; another 5% lacked capacity to make complex decisions. Documentation was good in mental health and community directorates, but there were gaps in documentation (not practice) in the medical and surgical directorates. Routine collection of data improved documentation regarding deprivation of liberty criteria. There is a high likelihood that senior nursing staff underestimate the number of patients who lack capacity. (shrink)

Early versions of satellite and radiosonde datasets suggested that the tropical surface had warmed more than the troposphere, while climate models consistently showed tropospheric amplification of surface warming in response to human-caused increases in greenhouse gases. We revisit such comparisons here using new observational estimates of surface and tropospheric temperature changes. We find that there is no longer a serious discrepancy between modeled and observed trends in the tropics. Our results contradict a recent claim that all simulated temperature trends in (...) the tropical troposphere are inconsistent with observations. This claim was based on the use of older radiosonde and satellite datasets and on two methodological errors: the neglect of observational trend uncertainties introduced by interannual climate variability and application of an inappropriate statistical “consistency test”.This emerging reconciliation of models and observations has two primary explanations. First, because of changes in the treatment of buoy and satellite information, new surface temperature datasets yield slightly reduced tropical warming relative to earlier versions. Second, recently developed satellite and radiosonde datasets now show larger warming of the tropical lower troposphere. In the case of a new satellite dataset from remote sensing systems, enhancedRSS warming is due to an improved procedure of adjusting for inter-satellite biases. When the RSS-derived tropospheric temperature trend is compared with four different observed estimates of surface temperature change, the surface warming is invariably amplified in the tropical troposphere, consistent with model results. Even if we use data from a second satellite dataset with smaller tropospheric warming than in remote sensing systems RSS, observed tropical lapse rates are not significantly different from those in all model simulations.Our results contradict a recent claim that all simulated temperature trends in the tropical troposphere and in tropical lapse rates are inconsistent with observations. This claim was based on the use of older radiosonde and satellite datasets and on two methodological errors: the neglect of observational trend uncertainties introduced by interannual climate variability and application of an inappropriate statistical “consistency test”. (shrink)

Rapid advances in the domain of science and technology are having an unprecedented effect upon the provision of higher education in universities throughout the world, the pace of change often being so fast as to make planning for the development of the “classroom of the future” an extremely difficult task. The Mobile Multimedia University (MMU) project, a collaborative action between four leading UK based research facilities, has been established to investigate these issues. Included amongst its aims is the use of (...) novel research methodologies to determine the factors which will influence the shape and form of future education provision, and thus the distribution of knowledge to society, such as mobility, telecommunications and multimedia services. This paper describes the use of a Delphi survey in predicting the technological trends and innovations which will affect university education in the near future. It describes the theory underpinning the Delphi method, illustrating this with examples of how such a technique has been successfully used in the past. It then details the specific application of the Delphi approach within the current MMU research project, detailing the preliminary results and discussing the implications of these findings for the future of universities and other institutes of higher education. (shrink)