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  • User Intentions  (2)
  • Ankle jerk in man  (1)
  • Bilateral renal artery stenosis  (1)
  • 1
    ISSN: 1432-1440
    Keywords: Hypertension ; Captopril ; Renin ; Screening ; Renovascular hypertension ; Bilateral renal artery stenosis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary The place of captopril (C) testing in the screening for renovascular hypertension is still controversial. Baseline and C-stimulated plasma renin concentrations (PRC) were measured in 113 hypertensives, who where referred for the exclusion of secondary hypertension. In addition intravenous digital subtraction angiography (DSA) and a renal scintigraphy were performed. When renal artery disease was revealed by DSA or renin was stimulated the renal arteries were visualized by direct arteriography (and treated by angioplasty if possible). 86 patients underwent each diagnostic test: 21% had renovascular hypertension. Unilateral renal artery stenosis (n=10) was detected by the captopril test (cutoff values: baseline〉40 µU/ml, after C〉180 µU/ml, sensitivity 100%). Bilateral renal artery stenosis (n=8) was missed when the disease was equally severe on either side (sensitivity 50%). The specificity of C testing was 82%, overall sensitivity (uni- and bilateral disease 78%, prevalence 21%, predictive value of the positive test 0.56, predictive value of the negative test 0.93). With i.v.-DSA the renal arteries were technically evaluable in 91% (82/92) of cases. The sensitivity for the detection of all renal artery stenoses was 79% (unilateral 100%, bilateral 40%, specificity 97%). The sensitivity of renal scintigraphy for the detection of unilateral renal artery stenosis was 50%, for the detection of bilateral renal artery stenoses 43%, specificity 81%. The present study demonstrates the usefulness of captopril for the detection of unilateral renal artery stenosis. Since bilateral renal artery disease is frequent and frequently missed by the test, overall and split renal function should be evaluated in addition. Both tests can easily be combined at one time when a captopril scintigraphy with renin determination is performed.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 0885-6125
    Keywords: Programming by Demonstration (PbD) ; Robot Programming by Demonstration (RPD) ; Teaching ; Robots ; Manipulators ; User Intentions ; Dialog-Based Learning (DBL)
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Programming by Demonstration (PbD) is a programming method that allows software developers to add new functionalities to a system by simply showing them in the form of few examples. In the robotics domain it has the potential to reduce the amount of time required for programming and also to make programming more natural. Just imagine the task of assembling a torch by a manipulator. Wouldn't it be nice to just assemble the torch with one's own hands, watched by video and laser cameras and maybe wearing data gloves, i.e. sensors that provide the data to automatically generate the necessary robot program for the assembly task? And wouldn't it be even nicer to demonstrate the task with few different torches, but achieving an assembly function for all possible variants of them? In order to realize such a PbD environment, at least two major problems have to be solved. First, the sensor data have to be transformed to high-level situation-action descriptors, a task that is not yet solved in general. Second, if a generalization is required, induction algorithms must be applied to the recorded and transformed traces, aiming to find the most general user-intended function from only few examples. In this article we will concentrate only on the second problem. The described experimental environment consists of an industrial robot (PUMA 260b), a 6D teach mouse input device, and some sensors. Various data can be recorded during a demonstration for further processing in the PbD system running on a workstation. The objective is to explore the possibilities of integrating learning and clustering algorithms for automated robot programming. In particular it is investigated how human interaction within system- as well as user-initiated dialogs can support the induction component.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 0885-6125
    Keywords: Programming by Demonstration (PbD) ; Robot Programming by Demonstration (RPD) ; Teaching, Robots ; Manipulators ; User Intentions ; Dialog-Based Learning (DBL)
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Programming by Demonstration (PbD) is a programming method that allows software developers to add new functionalities to a system by simply showing them in the form of few examples. In the robotics domain it has the potential to reduce the amount of time required for programming and also to make programming more “natural”. Just imagine the task of assembling a torch by a manipulator. Wouldn't it be nice to just assemble the torch with one's own hands, watched by video and laser cameras and maybe wearing data gloves, i. e. sensors that provide the data to automatically generate the necessary robot program for the assembly task? And wouldn't it be even nicer to demonstrate the task with few different torches, but achieving an assembly function for all possible variants of them? In order to realize such a PbD environment, at least two major problems have to be solved. First, the sensor data have to be transformed to high-level situation-action descriptors, a task that is not yet solved in general. Second, if a generalization is required, induction algorithms must be applied to the recorded and transformed traces, aiming to find the most general user-intended function from only few examples. In this article we will concentrate only on the second problem. The described experimental environment consists of an industrial robot (PUMA 260b), a 6D teach mouse input device, and some sensors. Various data can be recorded during a demonstration for further processing in the PbD system running on a workstation. The objective is to explore the possibilities of integrating learning and clustering algorithms for automated robot programming. In particular it is investigated how human interaction within system- as well as user-initiated dialogs can support the induction component.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Clinical and experimental medicine 150 (1969), S. 170-184 
    ISSN: 1591-9528
    Keywords: Air ions ; Ankle jerk in man ; Luftionen ; Achillessehnenreflex des Menschen
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Description / Table of Contents: Zusammenfassung Da sich der biologische Effekt künstlich erzeugter Luftionen auf den Menschen in bisherigen Untersuchungen nicht objektivieren ließ, wurde in einer experimentellen Untersuchungsreihe der Einfluß dieser Ionen auf einen einfachen sensomotorischen Funktionskreis (ASR) untersucht. In 34 Versuchen (Reflexserien) an 6 gesunden Versuchspersonen zeigte sich im Vergleich mit Placeboversuchen eine statistisch signifikante Abnahme der ASR-Amplitude nach Einatmung negativer Ionen. Der Wirkungsmechanismus der Luftionen wird diskutiert.
    Notes: Summary Since in experiments up to now there is no evidence of the biological effects of artificially generated air ions on man, the influence of these ions on the ankle jerk was examinated. In 34 experiments with 6 healthy subjects inhaled negative ions produced (in comparison with placebo experiments) a statistically significant diminution of the tendon jerk. The mechanism of these effects is discussed.
    Type of Medium: Electronic Resource
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