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Lower back injuries are prevalent among healthcare professionals, especially nursing assistants working in skilled nursing facilities. Previous studies have shown that by using good body mechanics in pulling and lifting, one can significantly reduce the risk of lower back injuries. In this paper, we report a feasibility study on using a low-cost human motion tracking system to promote safe patient...
Predicting association between the malaria risk and its climatic predictors provides individuals and public health officials with prior knowledge for effective prevention and control measures. This paper presents an integrated analysis of a total of 2,148 confirmed cases of malaria incidence for Aboh Mbaise General Hospital, together with the satellite meteorological data downloaded from National...
This paper first presents an evaluation of profitability of three well-known trading indicators, i.e. The Simple Moving Average (SMA), the Relative Strength Index (RSI) and the Connors Relative Strength Index (CRSI). The evaluation of different trading strategies was based on a financial time-series big data spanning from 2003 to 2013. To overcome the respective weakness and enhance the strength,...
The identification of molecular markers with prognostic value in colorectal cancer is a challenging task that is needed to define therapeutic guidelines. Despite recent advances in the screening, diagnosis, and treatment of colorectal cancer, an estimated 608,000 people die every year from this form of cancer, which is 8% of all cancer deaths. We performed two staged integrated bioinformatics analytics...
In support of the increasing number of elderly population, wearable sensors and portable mobile devices capable of monitoring, recording, reporting and alerting are envisaged to enable them an independent lifestyle without relying on intrusive care programmes. However, the big data readings generated from the sensors are characterized as multidimensional, dynamic and non-linear with weak correlation...
The advance of high throughput biotechnology enables the generation of large amount of biomedical data. The microarray is increasingly a popular approach for the detection of genome-wide gene expression. Microarray data have thus increased significantly in public accessible database repositories, which provide valuable big data for scientific research. To deal with the challenge of microarray big...
Triple negative breast cancers (TNBC) are clinically heterogeneous, an aggressive subtype with poor diagnosis and strong resistance to therapy. There is a need to identify novel robust biomarkers with high specificity for early detection and therapeutic intervention. Microarray gene expression-based studies have offered significant advances in molecular classification and identification of diagnostic/prognostic...
Triple-negative breast cancers (TNBC) are clinically heterogeneous, an aggressive form of breast cancer with poor diagnosis and highly therapeutic resistant. It is urgently needed for identifying novel biomarkers with increased sensitivity and specificity for early detection and personalised therapeutic intervention. Microarray profiling offered significant advances in molecular classification but...
Symptoms and signs (symptoms in brief) are the essential clinical manifestations for traditional Chinese medicine (TCM) diagnosis and treatments. To gain insights into the molecular mechanism of symptoms, this paper presents a network-based data mining method to integrate multiple phenotype-genotype data sources and predict the prioritizing gene rank list of symptoms. The result of this pilot study...
This paper proposes a new template model for the simulation of casting defects which are classified, according to shape, into three main types: the single defect with circular or elliptical shape, shrinkage defects with stochastic discontinuities, and the cavity or sponge shrinkage defects. For effective simulation, different nesting stencil plates are designed to reflect the characteristics of different...
Complex system manufacturing, such as that which takes place in the aerospace and automotive industries, is becoming increasingly dependent on distributed product development and is increasingly being conducted within the context of globally hosted virtual enterprises. These involve dynamic alliances and are characterized by a particular lifecycle: from partnership seeking, partnership cooperation...
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