Juniper Publishers-Biomedical Engineering Journals

  Abstract Identification of suitable biomarkers for accurate prediction of phenotypic outcomes is a goal for personalized medicine. However, current machine learning approaches are either too complex or perform poorly. Here, a novel feature detection and engineering machine-learning framework is presented to address this need. First, the  Rip Curl  process is applied which generates a set of 10 additional features. Second, we rank all features including the  Rip Curl  features from which the top-ranked will most likely contain the most informative features for prediction of the underlying biological classes. The top-ranked features are used in model building. This process creates for more expressive features which are captured in models with an eye towards the model learning from increasing sample amount and the accuracy/time results. The performance of the proposed  Rip Curl  classification framework was tested on omentum cancer data.  Rip Curl ...

Current Trends in Biomedical Engineering & Biosciences   Juniper Publishers Authored by Saif Ullah* Abstract The present study was conducted with the aim to evaluate sunflower hybrids under agro climatic conditions of district Malakand. A set of 8 sunflower hybrids was evaluated in randomized complete block design having two replications in spring 2014. Each sunflower genotype was sown in five meter long two rows 75cm apart with P-P distance 25cm. Data were recorded on yield and associated traits such as days to flower initiation, days to flower completion, days to maturity, plant height, head diameter, grain yield and 100 grain weight. Significant differences were observed among the genotypes for all the studied traits. The minimum days (80) to flower initiation were observed in Hybrid-14013 while maximum days (85) to flower initiation were observed in Hybrid-14009. Data regarding flower completion showed that Hybrid-14021 took maximum days (95) in flower complet...

CurrentTrends in Biomedical Engineering & Biosciences Juniper Publishers Authored by Richard Boire Mini Review In order to better understand the theme in the above title, it is important to observe how analytics has evolved very quickly over the last few years. The most significant development, that has altered the analytics landscape, is the ability to consume and analyze much more data such as mobile, social media, and sensor data. This capability was achieved through the adoption of parallel data processing technologies such as Hadoop and its underlying Map Reduce software. To give you some perspective on these growing data volumes, here are some stats as revealed in Forbes magazine: I. 1.7 megabytes of information will be created every second by each human being on the planet by the year 2020 II. Data will grow from 4.4 zettabyets today to around 44 zettabytes or 44 trillion gigabytes, a ten fold increase by 2020 (Figure 1). But what is really driving...

Current Trends in Biomedical Engineering & Biosciences Juniper Publishers Authored by  Nighat Mushtaq * Opinion Nowadays, an increasing attention is focused on the safety of foods and in particular on the intervention methods to reduce and eliminate the pathogens from the fresh products. Traditional technology utilizes water for sanitizing foods which has a limited effect in killing bacteria and other pathogens. Thus, an alternative treatment to improve the quality as safety of foods is being sort. The high demand of ozone in the food industry lies in the fact that ozone is much stronger than chlorine. Complementing the effectiveness, unlike other disinfectants, leaves no chemical residual and degrades to molecular oxygen upon reaction or natural degradation. Ozone has relatively short half‐life and can be taken as an asset and a liability to practitioners. This is particularly true in treatment of drinking water where ozonation is done to enhance filtration a...

CurrentTrends in Biomedical Engineering & Biosciences Juniper Publishers Authored by  Mohammad Shahidul Islam* Go to Abstract Bioester, as a member of life science discipline has enormous potential to be incorporated in pharmaceutical and personal care product (PPCP) system because of its increased customer demand. Bioester is produced by transesterification between two immiscible edible oil and organic alcohol phases in presence of an alkaline catalyst. The bioester thus produced has diversified area of applications and PPCP industry is one of them. This bioester has reduced viscosity (10% of neat edible oil), improved physio-chemical properties and excellent compatibility for precious applications. Due to this reason past, present and future of bioester, as a member of life science discipline is very impressive and it will develop in course of time. Keywords:  Alkaline catalyst, bioester, edible oil, life science, organic alcohol, pharmaceutical and...

CurrentTrends in Biomedical Engineering & Biosciences Juniper Publishers Authored by Petra Perner* Abstract Human beings are exposed every day to bio-aerosols in their personal and/or professional life. The European Commission has issued regulations for protecting employees in the workplace from biological hazards. Airborne fungi can be detected and identified by an image-acquisition and interpretation system. In this paper we present recent results on the development of an automated image acquisition, sample handling and image-interpretation system for airborne fungi identification. We explain the application domain and describe the development issues. The development strategy and the architecture of the system are described and results are presented. Keywords:  Health monitoring; Microscopic image acquisition; microbiological sample handling; image analysis; image interpretation; case-based object recognition; case-based reasoning Go to Introduction...