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 ...

  Abstract The ”whole-cell” simulation of cell metabolic processes under considering a variable-volume modelling framework has been reviewed to prove their advantages when building-up modular model structures of simplified form that can reproduce complex protein syntheses inside cells. The more realistic “whole-cell-variable-volume” (VVWC) approach is reviewed when developing modular kinetic representations of the homeostatic gene expression regulatory modules (GERM) that control the protein synthesis and homeostasis of metabolic processes. The paper review the general concepts of the VVWC modelling, while the cited literature includes past and current experience with GERM linking rules in order to point-out how optimized globally efficient kinetic models for the genetic regulatory circuits (GRC) can be obtained to reproduce experimental observations. Based on quantitative regulatory indices evaluated vs. simulated dynamic and stationary environmental perturbations, the reviewed li...

  Current Trends in Biomedical Engineering & Biosciences   Juniper Publishers

Current Trends in Biomedical Engineering & Biosciences   Juniper Publishers Adewale B* Mini Review Onchocerciasis is one of the five diseases referred to as preventive chemotherapy- Neglected Tropical Diseases (PC-NTDs). It affects 37 million people in 31 African countries as well as 3 countries in the Latin America and several areas in Yemen. Nigeria has the highest endemicity among countries responsible for 99% of infection globally. Blindness and severe skin manifestations are two major effects of the disease on affected populations with severe effects on affected communities. The disease is significantly a disease of the poor with economic implications resulting in further impoverishment of affected communities, a challenge to the achievement of SDGs 2 and 3 and national developmental goals. The main strategy for control in endemic countries is by mass ivermectin (Mectizan®) distribution. Mass distribution of ivermectin in Nigeria began in 1991 following su...

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...