The present program tests the run-time efficiency of algorithms for collision detection of one sphere and one randomly oriented cuboid. The acceptance rate, i.e. the number of non-overlapping configurations, the radius of the sphere and a set of cuboids with different thickness T, length L and width W are defined in input. The program generates a set number of configurations choosing a random point inside a spherocuboid as the centre of the sphere. The spherocuboid is centred at the centre of the cuboid and has the same orientation of the cuboid.
Contributors:Wesley Kerr, Emily Janio, Chelsea Braesch, Justine Le, Jessica Hori, Akash Patel, Norma Gallardo, Janar Bauirjan, Shannon D'Ambrosio, Andrea Chau, Eric Hwang, Emily Davis, Albert Buchard, David Torres-Barba, Mona Al Banna, Sarah Barritt, Andrew Cho, Jerome Engel, Jr., Mark Cohen, John Stern
This is the deidentified data and code from the following paper:
https://pubmed.ncbi.nlm.nih.gov/28895657/. For an interactive calculator, see https://wesleykerr.shinyapps.io/ComorbidMeds/
Contributors:Rafael Siqueira Telles Vieira, Javam C. Machado, Francisco N. Filho
Datasets for all cases and figures found at our paper. With the exception of data_GraphicalAbstract.zip, all files contain at least 3 files: info.txt (metadata), input.txt (before RC filtering), and output.txt (after RC filtering). Input dataset for case II is referenced at the paper and in a link inside the corresponding input-txt file. The file data_GraphicalAbstract.zip contains only the input and output files corresponding to the triangular signal used for the figure with the same name.
Contributors:Delf Kah, Alexander Winterl, Magdalena Přechová, Ulrike Schöler, Werner Schneider, Oliver Friedrich, Martin Gregor, Ben Fabry
Cells in the lungs, the heart, and numerous other organs, are constantly exposed to dynamic forces and deformations. To mimic these dynamic mechanical loading conditions and to study the resulting cellular responses such as morphological changes or the activation of biochemical signaling pathways, cells are typically seeded on flexible 2D substrates that are uniaxially or biaxially stretched. Here, we present an open-source cell stretcher built from parts of an Anet A8 3D printer. The cell stretcher is controlled by a fully programmable open-source software using GCode and Python. Up to 6 flexible optically clear substrates can be stretched simultaneously, allowing for comparative multi-batch biological studies including microscopic image analysis. The cell yield from the cell culture area of 4 cm2 per dish is sufficient for Western-blot protein analysis. As a proof-of-concept, we study the activation of the Yes-associated protein (YAP) mechanotransduction pathway in response to increased cytoskeletal tension induced by uniaxial stretching of epithelial cells. Our data support the previously observed activation of the YAP transcription pathway by stretch-induced increase of cytoskeletal tension and demonstrate the suitability of the cell stretcher to study complex mechano-biological processes.
• Acryl3MM.pdf: Ready-to-cut file for the acrylic glass parts needed to build the electronics and controller unit housing and the cell substrate molds.
• Acryl6MM.pdf: Ready-to-cut file for the acrylic glass parts needed to build the stretcher unit.
• MoldFrame.stl: Ready-to-print file for the 3D printed mold frame.
• Clamp.stl: Ready-to-print file for the 3D printed stretching clamps.
• Stretcher.zip: Customized version of the Raspbian operating version for the Raspberry Pi.
• Raspberry_Pi_Imager_v1.2.zip: Open-source software for Windows PCs to install the Raspberry Pi operating system on a memory card.
• Skynet_for_Stretcher.zip: Modified version of the SkyNet3D (Marlin) open-source firmware for Anet 3D printers.
• Arduino-1.8.0.zip: Modified version of the Arduino integrated development environment for Windows PCs with a pre-installed driver for uploading software to the ANET A8 mainboard.
This dataset has the open and closed loop algorithms used to estimate a diaphragm control valve using the He, Choudhury, Kano, Karnopp, LuGre and GMS friction models.
Yet, it has all the experimental data used to model aindustrial diaphragm valve.
The user has to compile the code and update the correct directories to run the algorithms.
Contributors:Rami Alazrai, Ali Awad, Baha' A. Alsaify, Mohammad Hababeh, Mohammad I. Daoud
This dataset contains Wi-Fi signals that were recorded from 40 different pairs of subjects while performing twelve different human-to-human interactions in an indoor environment. Each pair of subjects performed ten trials of each of the twelve interactions and the total number of trials recorded in our dataset for all the 40 pairs of subjects is 4800 trials (i.e., 40 pairs of subjects × 12 interactions × 10 trials). The publicly available CSI tool is used to record the Wi-Fi signals transmitted from a commercial off-the-shelf access point, namely the Sagemcom 2704 access point, to a desktop computer that is equipped with an Intel 5300 network interface card. The recorded Wi-Fi signals consist of the Received Signal Strength Indicator (RSSI) values and the Channel State Information (CSI) values.
we present “Test problem of loose duedate” and “Test problem of tight duedate” folders to clarify the data used to generate test instances for comparison of BLDAs algorithms. Data sets are provided in excel format in two folders of zip format. The parameters of each problem, i.e. case I, case II, case III, case IV and case V are named separately in different excel files as below. This parameters are described in section 3, including Capacity of batch, Delivery cost, Demand quantity, Duedate, Holding cost, Processing times, Routes indicators, Tardy cost, Transportation cost, Volume of each unit of job