We designed a novel device, called CRoAK, to quantify the movements of small animals in response to acoustic stimulation. We built our setup in a mini acoustically insulated chamber in which we suspended a small acoustically transparent animal enclosure. On the bottom of the enclosure, we attached an Arduino controlled 9 Degrees of Freedom (9DoF) Inertial Measurement Unit (IMU) that combines three different 3-axis sensors, an accelerometer (linear acceleration), a gyroscope (angular velocity), and a magnetometer (direction of the magnetic field). In our implementation of CRoAK, we relied solely on the gyroscope to quantify the motion of the enclosure in response to the movements made in response to a stimulus. We did not use the accelerometer in this implementation because we anchored the suspended enclosure to minimize oscillations in the system after perturbation by an animal’s movement. This means that, by design, we eliminated the possibility of linear translation such that movements would result in angular displacement of the enclosure that could be captured by the gyroscope. Other users may find the accelerometer more useful in customized implementations of CRoAK more suitable to their purpose. We also did not use the magnetometer in our single-speaker setup, but it could be used in multi-speaker implementations of CRoAK to measure perturbations of the local magnetic field that occur when different speakers are being driven, for example, to coordinate movements with sounds broadcast from different directions. Here we provide CAD figures of the device along with the Arduino code that was used to collect data from the sensor.
The dataset is additional materials to the article of the same name. The work is devoted to the description and analysis of bone pathologies of modern non-working cattle as part of zooarchaeological studies on the problem of identifying the working use of cattle in antiquity based on pathological markers.
The dataset contains photographs of the microdistrict of the Karagaily-Ayat river valley, a system of grazing and keeping livestock, as well as all identified pathologies. The same pathology is given in several images to demonstrate its variability depending on the sex of the animal and the front or hind limb.
These data show that i) vemurafenib displays apparent protective effects on HaCaT cells and resisted SM toxicity on HaCaT cells upon SM exposure, including cell survival, intracellular ATP level, apoptosis, and proinflammation cytokine IL-6 production; ii) the cell protective effect of vemurafenib during SM injury is ERK-dependent; iii) vemurafenib improves cutaneous damage on the mouse ear vesicant model.
We are publishing a letter to the editor in ACTA DIABETOLOGICA.
Since words count did not allow us to include all details, we decided to put detailed method and results in this repository and refer to it in the publication.
In addition, for more transparency, we added SPSS file.
For example: we added here the mobil application figure we used
Contributors:Maria Bortot, Gionata Stancher, Giorgio Vallortigara
Number discrimination has been documented in honeybees. It is not known, however, whether it reflects, as in vertebrates, the operating of an underlying general magnitude system that estimates quantities irrespective of dimensions (e.g., number, space, time) and format (discrete, continuous). We trained bees to discriminate between different numerical comparisons having either a 0.5 (2 vs. 4; 4 vs. 8) or 0.67 ratio (2 vs. 3; 4 vs. 6). Bees were then tested for spontaneous choice using comparisons with identical numbers but different sizes. Irrespective of the ratio of stimuli, bees trained to select the smaller numerical quantity chose the congruent smaller size; bees trained to select the larger numerical quantity chose the congruent larger size. This finding provides the evidence for a cross-dimensional transfer between discrete (numerical) and continuous (spatial) dimensions in an invertebrate species and supports the hypothesis of a cognitive universality of a coding for general magnitude.
Contributors:Claudius Hammann, Simon Hurst, Sebastian Schmeiser, Karolin Wagner
A new concept has been developed to compare different ways of presenting instructions for action for evaluation procedures. The representation forms algorithm, image and text are examined with regard to the number of top events, error frequencies, execution times and subjectively perceived workload. For this purpose, a study was carried out with n = 93 test persons in the research flight simulator, in which the test persons had the task of landing a passenger aircraft using the autopilot with different representation forms. Possible work errors 14 with 11 different steps in the representation. Workload is recorded and eye-tracking was used.
The dataset contains data used in the thesis "Hierarchical Fish Species Detection in Real-Time Video Using YOLO". It consists of the weights of the models that was used for the different experiments, some framework configurations, and the object detection dataset. The detector runs on the Darknet framework.
The object detection dataset is a collection of 1879 images of underwater fish taken from a stationary camera in Lindesnes, Norway. Each image has a corresponding annotation file that defines a bounding box and class for each fish. The images are annotated with hierarchical classification and biological taxonomy in mind. The hierarchy is defined in fish_taxonomy.xml. This means that if the species cannot be discerned, a higher class in the hierarchy will be used. There is 7721 annotated fish in the dataset.
This folder contains Stata do files used to simulate and analyze data used in the study that was described by the manuscript "Performance of Unanchored Matching-adjusted Indirect Comparison (MAIC) for the Evidence Synthesis of Single-arm Trials with Time-to-event Outcomes". A word document namde "program code files contents.docx" describing which part of the study each program file corresponds to is also contained in the folder. This word document serves as a "read me" file.