SUMMARY
High‐resolution reflection seismic data obtained around Gran Canaria allow a detailed and consistent correlation of seismic reflectors of the northern and southern Canary Basins with the lithology drilled by DSDP Leg 47A SSE of Gran Canaria, as well as with major phases of volcanic activity on Gran Canaria as mapped onshore. Two prominent reflectors were chosen as marker horizons and correlated with the drilled lithology. the results indicate that reflector R7 above the Miocene volcaniclastic debris flows V1‐V3 reflects the shield‐building phase of Gran Canaria. Reflector R3 is interpreted as corresponding with the Pliocene Roque Nublo formation.
The top of the massive island flank of Gran Canaria, defined by seismically chaotic facies, extends 44 to 72 km off the coast of Gran Canaria. West of Gran Canaria the flank of Tenerife onlaps the steeper and older flank of Gran Canaria, which, in turn, is onlapping the older flank of Fuerteventura to the east in a similar way.
Erosional channels, which can also be traced up to 50 km from the area between Gran Canaria and Fuerteventura into the deeper northern basin, have been identified in the bathymetry.
The data presented provide new detailed information for modelling the submarine and subaerial evolution of the central Canary Islands of Gran Canaria and Tenerife, i.e. the timing of their shield‐building phases and later stages of major volcanic activity, as reflected by the position of prominent seismic reflectors in the seismic stratigraphy.
Visualizations and visual models are of substantial importance for science learning (Harrison and Treagust, 2000), and it seems impossible to study chemistry without visualizations. More specifically, the combination of visualizations with text is especially beneficial for learning when dual coding is fostered (Mayer, 2014). However, at the same time, comprehending the visualizations and visual models appears to be rather difficult for learners (e.g., Johnstone, 2000). This may be one reason for the difficulties students experience especially during the university entry phase, which in a worst-case-scenario can result in high university drop-out rates as they are currently found in science-related study courses (Chen, 2013). In this regard, our study investigates, how the ability to handle and learn with visualizations – which we call visual model comprehension – relates to academic success at the beginning of chemistry studies. To do so, we collected the data of 275 chemistry-freshmen during their first university year. Our results show that visual model comprehension is a key factor for students to be successful in chemistry courses. For instance, visual model comprehension is able to predict exam grades in introductory chemistry courses as well as general chemistry content knowledge. Furthermore, our analyses point out that visual model comprehension acts as a mediator for the relation between prior knowledge and (acquired) content knowledge in chemistry studies. Given this obvious importance of visual model comprehension, our findings could give valuable insights regarding approaches to foster chemistry comprehension and learning especially for students at the beginning of their academic career.
This paper presents a novel mechatronic exoskeleton architecture for finger rehabilitation. The system consists of an underactuated kinematic structure that enables the exoskeleton to act as an adaptive finger stimulator. The exoskeleton has sensors for motion detection and control. The proposed architecture offers three main advantages. First, the exoskeleton enables accurate quantification of subject-specific finger dynamics. The configuration of the exoskeleton can be fully reconstructed using measurements from three angular position sensors placed on the kinematic structure. In addition, the actuation force acting on the exoskeleton is recorded. Thus, the range of motion (ROM) and the force and torque trajectories of each finger joint can be determined. Second, the adaptive kinematic structure allows the patient to perform various functional tasks. The force control of the exoskeleton acts like a safeguard and limits the maximum possible joint torques during finger movement. Last, the system is compact, lightweight and does not require extensive peripherals. Due to its safety features, it is easy to use in the home. Applicability was tested in three healthy subjects.
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