Biomedical and Health Sciences
The data set is collected from volunteers from Beijing University Third Hospital. FootScan plantar pressure measurement system is used to record the continuous pressure information. The volunteer is familiar with the whole walking process and is asked to walk on the plate with an order of "left foot, right foot, and then left foot," using comfortable walking speed. Volunteers should always ensure the heel touches the plate before the toe during walking. The sampling frequency of the system is set as 126Hz.
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Disease-Specific Faces (DSF) database is used to research the phenotype and genotype of the diseases.
Disease-Specific Face images collected from professional channels with definite diagnostic results.
The DSF2 dataset utilized consists of disease specific face (DSF) images with diagnostic results from professional medical publications, medical websites, forums, and hospitals. These results were reviewed by practicing physicians to create labels for supervised learning of the model.
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We are delighted to present a comprehensive video showcasing our operational prototype designed specifically for intravenous therapy. The submitted video shows the sequential flow of the entire process, starting from the preparatory phase to initiate fluid therapy and seamlessly transitioning into the administration phase. It highlights the real-time integration of our fabricated device with a web browser and an automated control system, ensuring the high precision and accuracy in fluid administration.
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This dataset contains .pcap files collected during the execution of variant calling on large number of human genomes using a cluster. The GATK4 variant calling pipeline was executed using AVAH in two testbeds, CloudLab and FABRIC. A 16-node cluster was used on CloudLab, and an 8-node cluster was used on FABRIC. The files were collected by running tcpdump on the network interfaces of the nodes.
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This is a dataset for TCS-Fall.
A total of 20 volunteers were invited to take part in the experiment. Each volunteer performed hundreds of falls and non-falls.
All fall data and non-fall data are stored in binary files that can be parsed by Python or matlab.
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We sought to establish whether torque pulses applied by an exoskeleton to the hip and knee joint modulate propulsion mechanics and whether changes in propulsion mechanics would be sustained after exposure to torque pulses under user-driven treadmill control. We applied twelve different formulations of torque pulses consecutively over 300 strides to 24 healthy participants, and quantified the evolution of four outcome measures -- gait speed (GS), hip extension (HE), trailing limb angle (TLA), normalized propulsive impulse (NPI) -- before, during, and immediately after training.
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The large number and scale of natural and man-made disasters have led to an urgent demand for technologies that enhance the safety and efficiency of search and rescue teams. Semi-autonomous rescue robots are beneficial, especially when searching inaccessible terrains, or dangerous environments, such as collapsed infrastructures. For search and rescue missions in degraded visual conditions or non-line of sight scenarios, radar-based approaches may contribute to acquire valuable, and otherwise unavailable information.
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The following keywords are used to create this database-
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The public dataset used in the manuscript "Deep Clustering for scRNA-seq Data by Local and Global Graph Structure Fusion".
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These are the two lncRNA and protein interactions (LPI) datasets, which collected and built by Zhang et al. and Zheng et al., respectively.
dataset1: Wen Zhang, Qianlong Qu, Yunqiu Zhang, Wei Wang. The linear neighborhood propagation method for predicting long non-coding RNA-protein interactions. Neurocomputing 273: 526-534 (2018)
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