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A mixed-methods feasibility case series of a job retention vocational rehabilitation intervention for people with multiple sclerosis
No full textAdditional file 8 of Modulation of long noncoding RNA (lncRNA) and messenger RNA (mRNA) expression in the liver of Beagle dogs by Toxocara canis infection
No full textThe anticancer and EGFR-TK/CDK-9 dual inhibitory potentials of new synthetic pyranopyrazole and pyrazolone derivatives: X-ray crystallography, in vitro, and in silico mechanistic investigations
No full textRaw data for low-dimensional metal-organic magnets as a route towards the S=2 Haldane phase
No full textRaw data for publication and analysis scripts (where appropriate); Heat Capacity; Inelastic neutron scattering; Magnetic properties; Powder neutron diffraction; Powder X-ray diffraction; Single-crystal X-ray diffraction; X-ray photoelectron spectroscop
The effects of goal–landmark distance on overshadowing: a replication in humans (Homo sapiens) of Goodyear and Kamil (2004)
No full textGoodyear & Kamil (2004) assessed the ability of Clark’s nutcrackers to find buried food based on a cross-shaped array of landmarks at different distances from the goal. Their findings suggested that close landmarks overshadowed learning about distal landmarks, and this was attenuated when assessing the effect of distal landmarks on learning about close landmarks. In other words, the extent of overshadowing was moderated by landmark distance. In this study, we aimed to replicate their findings in human spatial navigation by using a virtual environment. Three groups of participants were trained in an open environment featuring orientation cues and they had to find a hidden goal with reference to 4 landmarks that were arranged in the shape of a cross and placed at different distances from the goal. Two of the four landmark distances were common across all three groups to allow a comparison of the extent of overshadowing under comparable conditions. Following training, all participants were tested with each of the 4 landmarks individually. Of particular interest was how well participants performed when tested with the common landmarks. Consistent with the results in birds, we observed better performance in the groups with more distal landmarks, suggesting that overshadowing was greater in the groups with closer landmarks and thus dependent on the spatial contiguity between the landmarks and the goal. Landmarks near the goal overshadowed landmarks far from the goal, but the opposite was not true. A second experiment, in which landmarks and orientation cues were misaligned in order to prevent the use of a straightforward solution to the task, replicated the results. The results are discussed in terms of a modification of Pearce’s configural model
UR5 collaborative robot static anti-gravity torque versus joint angle data
No full textCollaborative Robot Static Anti-Gravity Data
During the real industrial robot movement, robot joint angles, joint angular velocities, and joint motor currents are recorded via ROS-Melodic software which handles the communication (@~125Hz). Static data is then extracted by finding the sample points at which the robots angular velocities are equal to zero. Data is then formatted in Comma Separated Values (CSV) formatted data. This data can be exploited in machine learning approaches for static modelling of the industrial robot behavior. This data may be utilized research investigating static industrial robot model including its gravity terms and static friction terms.
Data is composed of
joint angle data: Positions_reduced.csv
joint angular velocities: Velocities_reduced.csv
joint motor currents: Efforts_reduced.cs
Additional file 1 of Pyruvate kinase, a metabolic sensor powering glycolysis, drives the metabolic control of DNA replication
No full textAdditional file 4 of Design decisions and data completeness for experience sampling methods used in psychosis: systematic review
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