Biomedical and Health Sciences
The research were incorporated an extended cohort monitoring campaign, validation of an existing exposure model and development of a predictive model for COPD exacerbations evaluated against historical electronic health records.
A miniature personal sensor unit were manufactured for the study from a prototype developed at the University of Cambridge. The units monitored GPS position, temperature, humidity, CO, NO, NO2, O3, PM10 and PM2.5.
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863 Views
Columns are genes, miRNAs, drugs, or cnv. Rows are patient identifiers or cell lines.
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465 Views
Supplementary materials for paper
'In silico drug repositioning using integrated target information'
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62 Views
- supplemental materials for paper "
- Three dimensional (3D) optical imaging system of muon beams using a silver activated zinc sulfide (ZnS(Ag)) sheet combined with a mirror"
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97 Views
This dataset summarized the result from the numerical analysis of a catheter-based double fusiform mesh electrode for endoluminal irreversible electroporation. The electric field distribution (EFD), the temperature distribution (TD), the probability of EI (PEI), and the probability of TI (PTI) under various conditions of electrode configuration and pulse settings have been calculated.
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164 Views
The Internet of things (IoT) has emerged as a topic of intense interest among the research and industrial community as it has had a revolutionary impact on human life. The rapid growth of IoT technology has revolutionized human life by inaugurating the concept of smart devices, smart healthcare, smart industry, smart city, smart grid, among others. IoT devices’ security has become a serious concern nowadays, especially for the healthcare domain, where recent attacks exposed damaging IoT security vulnerabilities. Traditional network security solutions are well established.
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12306 Views
Objective: Analyzing human motion is essential for diagnosing movement disorders and guiding rehabilitation for conditions like osteoarthritis, stroke, and Parkinson's disease. Optical motion capture systems are the standard for estimating kinematics, but the equipment is expensive and requires a predefined space. While wearable sensor systems can estimate kinematics in any environment, existing systems are generally less accurate than optical motion capture.
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571 Views
This dataset is in support of my 2 research papers ' '.
Preprint :
- Part I :
- Part II :
Related Claim : Novel ß Non-Linear Theory, Novel ß Solar Boost Converter and Novel ß Power Boost DC-DC Converter in Patent 'Novel ß 10-Axis Grid Compatible Multi-Controller'
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1637 Views
Brain-Computer Interface (BCI) has become an established technology to interconnect a human brain and an external device. One of the most popular protocols for BCI is based on the extraction of the so-called P300 wave from EEG recordings. P300 wave is an event-related potential with a latency of 300 ms after the onset of a rare stimulus. In this paper, we used deep learning architectures, namely convolutional neural networks (CNNs), to improve P300-based BCIs.
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933 Views
This dataset is in support of my Research paper 'Detection of Pancreatic,Ovarian & Prostate Tumor, Cancer and Treatment by Ablation'.Due to computer crash, all work, datasets and old papers lost. Re-work may be submitted.
For Machine design, pls refer, open-access page 'Data and Designs of B-Machines'
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1033 Views