Biomedical and Health Sciences

Data and code associated with the submitted paper "A Kinematic Model to Predict a Continuous Range of Human-like Walking Speed Transitions" by Greggory F. Murray and Anne E. Martin.

This submission contains the experimental kinematic data for the speed transitions and the code needed to analyze and model the transitions.

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We have utilized Ultrasound  (US) B-mode imaging to record single agents and collective swarms of microrobots in controlled experimental conditions.

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NCBI疾病语料库(Do˘gan et al,2014)由793篇PubMed摘要组成,这些摘要在提及和概念层面对疾病提及进行了充分注释。NCBI疾病语料库的公开发布包含6892个疾病提及,这些提及被映射到790个独特的疾病概念。其中,88%链接到MeSH标识符,而其余包含OMIM标识符。91%的提及与单一疾病概念有关,而其余的则被描述为概念的组合

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The purpose of this study was to conduct the kinetic assessment of iontophoretic delivery of niosomal tetracycline-HCl formulated in an electroconductive gel. Tween-80 and Span-80 were used to obtain Tetracycline-Hydrochloride niosomes with an average diameter of 101.9±3.3 nm, polydispersity index of 0.247±0.004, a Zeta potential of -34.1 mV, and an entrapment efficiency of 70.08%±0.16%.

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69 whole slide images for early gastric cancer diagnosis, evaluating the proposed variational energy network (VENet).

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280 Views

The self-collected 30000 pathological images for gland segmentation, including training images and annotations.

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404 Views

Pituitary adenoma (PA) is one of the most common tumors of the central nervous system, accounting for about 10%-25% of all cases. Although it is generally considered to be a benign tumor, the tumor can compress important tissue structures around it and cause corresponding symptoms. And surgical treatment is the preferred treatment for pituitary adenoma. Therefore, preoperative observation on MRI is important to provide anatomical information to plan the resection and predict the prognosis.

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This data was collected during a validation study of our Torso-Dynamics Estimation System (TES). The TES consisted of a Force Sensing Seat (FSS) and an inertial measurement unit (IMU) that measured the kinetics and kinematics of the subject's torso motions. The FSS estimated the 3D forces, 3D moments, and 2D COPs while the IMU estimated the 3D torso angles. To validate the TES, the FSS and IMU estimates were compared to gold standard research equipment (AMTI force plate and Qualisys motion capture system, respectively). 

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This dataset contains the extracted parameter data for the deep patellar tendon reflexes of four test subjects. Each subject was tapped with a reflex hammer with soft, medium, and hard taps three times. The dataset was collected by interpreting the spectrogram images from processed radar data and motion capture data.

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