104 research outputs found

    Action planning with two-handed tools

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    In tool use, the intended external goals have to be transformed into bodily movements by taking into account the target-to-movement mapping implemented by the tool. In bimanual tool use, this mapping may depend on the part of the tool that is operated and the effector used (e.g. the left and right hand at the handle bar moving in opposite directions in order to generate the same bicycle movement). In our study, we investigated whether participants represent the behaviour of the tool or only the effector-specific mapping when using two-handed tools. In three experiments, participants touched target locations with a two-jointed lever, using either the left or the right hand. In one condition, the joint of the lever was constant and switching between hands was associated with switching the target-to-movement-mapping, whereas in another condition, switching between hands was associated with switching the joint, but the target-to-movement-mapping remained constant. Results indicate pronounced costs of switching hands in the condition with constant joint, whereas they were smaller with constant target-to-movement mapping. These results suggest that participants have tool-independent representations of the effector-specific mappings

    Clinical characteristics governing treatment adjustment in COPD patients: results from the Swiss COPD cohort study

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    BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a widespread chronic disease characterised by irreversible airway obstruction [1]. Features of clinical practice and healthcare systems for COPD patients can vary widely, even within similar healthcare structures. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) strategy is considered the most reliable guidance for the management of COPD and aims to provide treating physicians with appropriate insight into the disease. COPD treatment adaptation typically mirrors the suggestions within the GOLD guidelines, depending on how the patient has been categorised. However, the present study posits that the reasons for adjusting COPD-related treatment are hugely varied. OBJECTIVES: The objective of this study was to assess the clinical symptoms that govern both pharmacological and non-pharmacological treatment changes in COPD patients. Using this insight, the study offers suggestions for optimising COPD management through the implementation of GOLD guidelines. METHODS: In this observational cohort study, 24 general practitioners screened 260 COPD patients for eligibility from 2015–2019. General practitioners were asked to collect general information from patients using a standardised questionnaire to document symptoms. During a follow-up visit, the patient’s symptoms and changes in therapy were assessed and entered into a central electronic database. Sixty-five patients were removed from the analysis due to exclusion criteria, and 195 patients with at least one additional visit within one year of the baseline visit were included in the analysis. A change in therapy was defined as a change in either medication or non-medical treatment, such as pulmonary rehabilitation. Multivariable mixed models were used to identify associations between given symptoms and a step up in therapy, a step down, or a step up and a step down at the same time. RESULTS: For the 195 patients included in analyses, a treatment adjustment was made during 28% of visits. In 49% of these adjustments, the change in therapy was a step up, in 33% a step down and in 18% a step up (an increase) of certain treatment factors and a step down (a reduction) of other prescribed treatments at the same time. In the multivariable analysis, we found that the severity of disease was linked to the probability of therapy adjustment: patients in GOLD Group C were more likely to experience an increase in therapy compared to patients in GOLD Group A (odds ratio [OR] 3.43 [95% confidence interval {CI}: 1.02–11.55; p = 0.135]). In addition, compared to patients with mild obstruction, patients with severe (OR 4.24 [95% CI: 1.88–9.56]) to very severe (OR 5.48 [95% CI: 1.31–22.96]) obstruction were more likely to experience a therapy increase (p 999; p = 0.109]). CONCLUSIONS: This cohort study provides insight into the management of patients with COPD in a primary care setting. COPD Group C and airflow limitation GOLD 3–4 were both associated with an increase in COPD treatment. In patients with comorbidities, there were often no treatment changes. Exacerbations did not make therapy increases more probable. The presence of neither cough/sputum nor high CAT scores was associated with a step up in treatment

    The role of response modalities in cognitive task representations

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    The execution of a task necessitates the use of a specific response modality. We examined the role of different response modalities by using a task-switching paradigm. In Experiment 1, subjects switched between two numerical judgments, whereas response modality (vocal vs. manual vs. foot responses) was manipulated between groups. We found judgment-shift costs in each group, that is irrespective of the response modality. In Experiment 2, subjects switched between response modalities (vocal vs. manual, vocal vs. foot, or manual vs. foot). We observed response-modality shift costs that were comparable in all groups. In sum, the experiments suggest that the response modality (combination) does not affect switching per se. Yet, modality-shift costs occur when subjects switch between response modalities. Thus, we suppose that modality-shift costs are not due to a purely motor-related mechanisms but rather emerge from a general switching process. Consequently, the response modality has to be considered as a cognitive component in models of task switching

    No-go trials can modulate switch cost by interfering with effects of task preparation

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    It has recently been shown that the cost associated with switching tasks is eliminated following ‘no-go’ trials, in which response selection is not completed, suggesting that the switch cost depends on response selection. However, no-go trials may also affect switch costs by interfering with the effects of task preparation that precede response selection. To test this hypothesis we evaluated switch costs following standard go trials with those following two types of non-response trials: no-go trials, for which a stimulus is presented that indicates no response should be made (Experiment 1); and cue-only trials in which no stimulus is presented following the task cue (Experiment 2). We hypothesized that eliminating no-go stimuli would reveal effects of task preparation on the switch cost in cue-only trials. We found no switch cost following no-go trials (Experiment 1), but a reliable switch cost in cue-only trials (i.e., when no-go stimuli were removed; Experiment 2). We conclude that no-go trials can modulate the switch cost, independent of their effect on response selection, by interfering with task preparation, and that the effects of task preparation on switch cost are more directly assessed by cue-only trials

    ULTRASONIC STIMULUS AND RESPONSE TESTS LEVERAGING MODULAR INSTRUMENTATION

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    Abstract -Ultrasonic testing is being used increasingly across many industries and engineers are turning to modular instrumentation as a solution for these complex and dynamic challenges. The most common categories of automated ultrasonic tests are flaw detection and evaluation, dimensional measurements, and material characterization. These techniques can be applied to a diverse set of applications such as oil pipeline inspection to detect or prevent leaks, the identification of abnormalities in military/aerospace aircrafts that could result in failures, and for diagnosis and therapy research in the biomedical field. Most ultrasonic test systems consist of a stimulus created by a source capable of producing high voltage electrical signals which are then converted to ultrasonic energy waves by a transformer and propagated through the material or unit under test. The reflected energy wave or response is converted with a transducer to an electrical signal. The electrical signal is then digitized by an instrument so that it can be processed, analyzed, and displayed within a computing environment. Most traditional ultrasonic test systems use a pulser-receiver instrument to generate the stimulus and to acquire the response. Recently, engineers have begun replacing the traditional Pulser/Receiver instrumentation with modular instruments which provide a more flexible and cost effective solution. For instance, an arbitrary waveform generator paired with an amplifier can provide the stimulus to the unit under test. In addition to the common sinusoidal and pulsed waveforms, the user can design and generate any shape of ultrasonic waveform such as multitone, chirp, or enveloped signals. By producing these custom signals, many different types of transducers can be used, resulting in a better characterization of certain materials. The receiver can be replaced with a modular digital oscilloscope which can acquire the reflected signal at greater sampling rates and with more precision. This enables the acquisition of more detailed information about the unit or material under test. The computer contained within the modular system then allows for the instant display, analysis, and storage of data. This paper will provide a history and the basics of ultrasonic tests and then outline the benefits of a modular approach to solving these problems
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