Measuring morphological productivity

Not Reviewe

Development of an upwind sailing ergometer

Purpose: To develop a sailing ergometer that accurately simulates upwind sailing exercise. Methods: A sailing ergometer that measures roll moment accompanied by a biofeedback system that allows imposing a certain quasi-isometric upwind sailing protocol (ie, 18 bouts of 90-s hiking at constantly varying hiking intensity interspersed with 10 s to tack) was developed. Ten male high-level Laser sailors performed an incremental cycling test (ICT; ie, step protocol at 80W + 40 W/3 min) and an upwind sailing test (UST). During both, heart rate (HR), oxygen uptake (VO2), ventilation (V-E), respiratory-exchange ratio, and rating of perceived exertion were measured. During UST, also the difference between the required and produced hiking moment (HM) was calculated as error score (ES). HR, VO2, and V-E were calculated relative to their peak values determined during ICT. After UST, the subjects were questioned about their opinion on the resemblance between this UST and real-time upwind sailing. Results: An average HM of 89.0% +/- 2.2% HMmax and an average ES of 4.1% +/- 1.8% HMmax were found. Mean HR, VO2, and V-E were, respectively, 80% +/- 4% HRpeak, 39.5% +/- 4.5% VO2peak, and 30.3% +/- 3.7% V-Epeak. Both HM and cardiorespiratory values appear to be largely comparable to literature reports during on-water upwind sailing. Moreover, the subjects gave the upwind sailing ergometer a positive resemblance score. Conclusions: Results suggest that this ergometer accurately simulates on-water upwind sailing exercise. As such, this ergometer could be a great help in performance diagnostics and training follow-up

A Template Based Approach for Training NMT for Low-Resource Uralic Languages - A Pilot with Finnish

Peer reviewe

Sentinel-1 Imaging Performance Verification with TerraSAR-X

This paper presents dedicated analyses of TerraSAR-X data with respect to the Sentinel-1 TOPS imaging mode. First, the analysis of Doppler centroid behaviour for high azimuth steering angles, as occurs in TOPS imaging, is investigated followed by the analysis and compensation of residual scalloping. Finally, the Flexible-Dynamic BAQ (FD-BAQ) raw data compression algorithm is investigated for the first time with real TerraSAR-X data and its performance is compared to state-of-the-art BAQ algorithms. The presented analyses demonstrate the improvements of the new TOPS imaging mode as well as the new FD-BAQ data compression algorithm for SAR image quality in general and in particular for Sentinel-1

Impact of guided self-study on learning success in undergraduate physiotherapy students in Switzerland – a feasibility study of a higher education intervention

Background Guided self-study (G-SS) can be used as a self-directed learning method or self-determined learning that fosters changes in knowledge and skills in a higher physiotherapy education setting. Until now, there has been no empirical evidence for the use of G-SS in higher physiotherapy education. This study aimed to investigate the feasibility to establish a G-SS program in a fulltime undergraduate physiotherapy degree course. In addition, the effectiveness of the G-SS was assessed on changes in knowledge and skills. Method Fifty-one first-semester physiotherapy students were randomly divided into a G-SS group or control group (CG). The G-SS group received six clinical cases. Each case was processed in an eight-day cycle. One week in advance, the clinical case were provided to the students electronically (day 1). The students prepared the cases in groups and were guided by the tutor during this preparation time (day 2 to 7). Group work results were presented and reflected on during a moderated plenum session at day 8. A priori criteria of success were defined based on empirical experience for the primary outcome parameters i) exposure, ii) responsiveness of students and iii) program differentiation. The secondary outcome was the total score in the objective structured clinical examination (OSCE) and written exams. Statistical analyses were conducted using SPSS. Results The responsiveness of students as willing to participate in the G-SS program was 23%, clearly below the a priori set 83%. No differences in program differentiation were found. G-SS as compared to the CG scored significantly better on OSCE (p = 0.003) and on the written exam (p = 0.004). Conclusion The results showed that this higher education G-SS program in its current form was not feasible. Slight modification of the study protocol (e.g. better time planning in the academic calendar) is needed to improve the student’s responsiveness. The adjustments to the timetable must allow the physiotherapy students to prepare the clinical cases under conditions of lower workload. G-SS has the potential to promote change in knowledge and skills in undergraduate physiotherapy students when students prepare and present the clinical case solutions and reflect upon their actions

The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations

The shared task of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V) aims at providing a common benchmark for testing current corpus-based methods for the identifica- tion of lexical semantic relations ( synonymy , antonymy , hypernymy , part-whole meronymy ) and at gaining a better understanding of their respective strengths and weaknesses. The shared task uses a challenging dataset extracted from EVALution 1.0 (Santus et al., 2015b), which contains word pairs holding the above-mentioned relations as well as semantically unrelated control items ( random ). The task is split into two subtasks: (i) identification of related word pairs vs. unre- lated ones; (ii) classification of the word pairs according to their semantic relation. This paper describes the subtasks, the dataset, the evaluation metrics, the seven participating systems and their results. The best performing system in subtask 1 is GHHH ( F 1 = 0 . 790 ), while the best system in subtask 2 is LexNet ( F 1 = 0 . 445 ). The dataset and the task description are available at https://sites.google.com/site/cogalex2016/home/shared-task

Planning and Implementation of Guided Self-study in an Undergraduate Physiotherapy Curriculum in Switzerland: A Feasibility Study

Background: Self-directed learning (andragogy) or self-determined learning (heutagogy) can be implemented in guided self-study (GSS) with the aim to foster changes in the knowledge and skills of physiotherapy students in a higher education setting. To date, there is a lack of evidence for the use of GSS in higher education for physiotherapy. Aim: This study aimed to evaluate the feasibility of developing and implementing GSS in an undergraduate physiotherapy educational program in Switzerland. In addition, the effectiveness of GSS in bringing changes in knowledge and skills was assessed. Method: Full-time undergraduate physiotherapy students (n = 49) from the third semester volunteered in this feasibility study. Students were randomly allocated into a GSS group or a control group (CG) in the period from October to November 2019. The GSS group prepared a total of 3 clinical cases. Each case was processed in an 8-day cycle. On day 1, the clinical case (ie, description of a patient and symptoms) and learning goals were provided to the students electronically. The students prepared the cases in groups from days 2 to 7. They were guided 2 times by the tutor (physical meeting and via Skype) during this preparation phase. The results of group work were presented and reflected on during a moderated plenum session (90 minutes) on day 8. The feasibility of this higher education study was operationalized as follows: exposure (“dose,” ie, the number of GSS sessions performed over 90 minutes, as well as the content of the cases and the learning objectives); students’ responsiveness, with an a priori set 100% willingness to participate on day 8; program differentiation, to illustrate differences between the content of GSS cases and the curriculum; and degree of acceptability. In addition, an assessment was made of the total scores in the objective structured clinical examination (OSCE) and written examinations, as well as the amount of GSS. Statistical analyses were conducted using an intention-to-treat approach. Results: All 3 GSS sessions on day 8 lasted the scheduled 90 minutes. The content of the presented cases was aligned with the learning objectives. The responsiveness of students willing to participate on day 8 was 42%. In program differentiation, no differences in content were found between the GSS presentation content and the usual curriculum content when compared with the learning aims. Objective structured clinical examination grades and written examination grades were similar for the GSS and CG. The analysis of the focus group interview showed a low degree of acceptability indicating that the students’ workload was high during the GSS period. Conclusions: This study showed that this GSS program for undergraduate physiotherapy students in its current form is “feasible with modification.” Modification of the study protocol (eg, better time planning in the academic calendar) is needed to improve the students’ responsiveness. Alternatively, classroom hours may be reduced to favor self-study time. Such adjustments to the timetable should allow the physiotherapy students to better prepare the clinical cases. The effectiveness of the GSS and normal curriculum on OSCE and written examination scores was similar, probably due to the observed low students’ acceptability Keywords education graduate, learning curve, physical therapist

Evaluating Neighbor Rank and Distance Measures as Predictors of Semantic Priming

Abstract This paper summarizes the results of a large-scale evaluation study of bag-ofwords distributional models on behavioral data from three semantic priming experiments. The tasks at issue are (i) identification of consistent primes based on their semantic relatedness to the target and (ii) correlation of semantic relatedness with latency times. We also provide an evaluation of the impact of specific model parameters on the prediction of priming. To the best of our knowledge, this is the first systematic evaluation of a wide range of DSM parameters in all possible combinations. An important result of the study is that neighbor rank performs better than distance measures in predicting semantic priming