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Publisher: Horizon Research Publishing   (Total: 54 journals)   [Sort by number of followers]

Showing 1 - 54 of 54 Journals sorted alphabetically
Advances in Diabetes and Metabolism     Open Access   (Followers: 28)
Advances in Economics and Business     Open Access   (Followers: 18)
Advances in Energy and Power     Open Access   (Followers: 17)
Advances in Pharmacology and Pharmacy     Open Access   (Followers: 11)
Advances in Signal Processing     Open Access   (Followers: 13)
Advances in Zoology and Botany     Open Access  
Bioengineering and Bioscience     Open Access   (Followers: 1)
Cancer and Oncology Research     Open Access   (Followers: 10)
Chemical and Materials Engineering     Open Access   (Followers: 25)
Civil Engineering and Architecture     Open Access   (Followers: 24)
Computational Research     Open Access   (Followers: 1)
Computer Science and Information Technology     Open Access   (Followers: 14)
Energy and Environmental Engineering     Open Access   (Followers: 7)
Environment and Ecology Research     Open Access   (Followers: 8)
Food Science and Technology     Open Access   (Followers: 3)
Immunology and Infectious Diseases     Open Access   (Followers: 9)
Intl. J. of Biochemistry and Biophysics     Open Access   (Followers: 1)
Intl. J. of Cardiovascular and Cerebrovascular Disease     Open Access   (Followers: 2)
Intl. J. of Neuroscience and Behavioral Science     Open Access   (Followers: 1)
Linguistics and Literature Studies     Open Access   (Followers: 5)
Manufacturing Science and Technology     Open Access   (Followers: 3)
Mathematics and Statistics     Open Access   (Followers: 5)
Nanoscience and Nanoengineering     Open Access   (Followers: 1)
Natural Resources and Conservation     Open Access   (Followers: 6)
Nursing and Health     Open Access   (Followers: 4)
Open J. of Dentistry and Oral Medicine     Open Access   (Followers: 1)
Sociology and Anthropology     Open Access   (Followers: 5)
Sport and Art     Open Access   (Followers: 1)
Universal J. of Accounting and Finance     Open Access   (Followers: 4)
Universal J. of Agricultural Research     Open Access   (Followers: 1)
Universal J. of Applied Mathematics     Open Access   (Followers: 5)
Universal J. of Applied Science     Open Access   (Followers: 2)
Universal J. of Biomedical Engineering     Open Access  
Universal J. of Chemistry     Open Access   (Followers: 1)
Universal J. of Clinical Medicine     Open Access  
Universal J. of Communications and Network     Open Access   (Followers: 1)
Universal J. of Computational Mathematics     Open Access   (Followers: 5)
Universal J. of Control and Automation     Open Access   (Followers: 4)
Universal J. of Educational Research     Open Access   (Followers: 1)
Universal J. of Electrical and Electronic Engineering     Open Access   (Followers: 6)
Universal J. of Engineering Science     Open Access   (Followers: 2)
Universal J. of Food and Nutrition Science     Open Access   (Followers: 6)
Universal J. of Geoscience     Open Access   (Followers: 4)
Universal J. of Industrial and Business Management     Open Access   (Followers: 1)
Universal J. of Management     Open Access   (Followers: 2)
Universal J. of Materials Science     Open Access   (Followers: 3)
Universal J. of Mechanical Engineering     Open Access   (Followers: 17)
Universal J. of Medical Science     Open Access  
Universal J. of Microbiology Research     Open Access  
Universal J. of Physics and Application     Open Access   (Followers: 2)
Universal J. of Plant Science     Open Access  
Universal J. of Psychology     Open Access   (Followers: 3)
Universal J. of Public Health     Open Access   (Followers: 2)
World J. of Computer Application and Technology     Open Access   (Followers: 4)
Similar Journals
Journal Cover
Universal Journal of Biomedical Engineering
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2333-2662 - ISSN (Online) 2333-2654
Published by Horizon Research Publishing Homepage  [54 journals]
  • Brain Tissue Response Analysis Based on Several Hyperelastic Models, for
           Traumatic Brain Injury Assessment

    • Abstract: Publication date:  Jun 2016
      Source:Universal Journal of Biomedical Engineering  Volume  4  Number  2  M. Shariyat   H. Ashrafi   and H. Bandband   Numerous geometrically simplified models may be found in literature for simulation of the traumatic brain injuries due to the increased intracranial pressure caused by sever translational accelerations of the brain inside the cranium following the impact waves. Some researchers have used more accurate models but employed specific hyperelastic material models. No research has presented a comprehensive comparison among results of various geometric and hyperelasticity models, so far. In the present research, two distinct finite element models and four hyperelastic constitutive models (i.e., polynomial, Yeoh, Arruda-Boyce, and Ogden models) are employed to accomplish the mentioned task. Therefore, the motivation is checking accuracy of the modeling procedure and discussing the results according the traumatic brain injury criteria. In this regard, a realistic skull-brain model is reconstructed in CATIA software based on the MRI scans and employed for optimized mesh generation in HYPERMESH finite element software. Influence of the contact and nonlinear characteristics of the brain tissue are considered in simulation of the relative motions in LS-DYNA finite element code. Time histories of the accelerations and the pressures (von Mises stresses) are derived from ANSYS finite element analysis code. Finally, the responses are discussed based on the available traumatic brain injury criteria and tolerances. Comparisons made with the available experimental results for the four hyperelastic constitutive equations confirm that employing Arruda-Boyce or Ogden models may lead to inaccurate or even erroneous results. On the other hand, the polynomial model is the most accurate model but underestimates the injury probability and may be used with care.
      PubDate: Jun 2016
  • Isolation, Characterization and Identification of Microorganisms from
           Spoilt Carrots Obtained from Ose Market Onitsha, Nigeria

    • Abstract: Publication date:  Feb 2016
      Source:Universal Journal of Biomedical Engineering  Volume  4  Number  1  Onuorah Samuel   Nriagu Ogonna   and Obika Ifeanyi   Studies on the microorganisms associated with spoilt carrots obtained from Ose Market, Onitsha, Nigeria were carried out using standard cultural techniques. Nutrient agar, sabouraud dextrose agar and Eosin methylene blue agar were the growth media for the isolation of the heterotrophic bacteria, fungi and coliforms. The bacteria were identified as Serratia marcescens, Escherichia coli and Corynebacterium bovis while the fungi was identified on the basis of their colonial and microscopic characteristics as Penicillium digitatum, Rhizopus stolonifer, Aspergillus niger and Alternaria alternata. Escherichia coli was predominantly isolated among the bacterial isolates (50%) while Aspergillus niger occurred most frequently than the other fungal species (40%). These organisms may have been introduced to the carrots during growth, harvesting, handling, storage and distribution. The presence of the organisms is a public health risk because of the diseases known to be caused by them. It is therefore imperative that adequate hygienic practices must be put in place during the storage and handling of carrots. Spoilt carrots must also not be consumed as they contain a teaming population of bacteria and fungi, some of which are pathogenic to humans.
      PubDate: Feb 2016
  • Production of Vinegar from Oil-palm Wine Using Acetobacter Aceti Isolated
           from Rotten Banana Fruits

    • Abstract: Publication date:  Feb 2016
      Source:Universal Journal of Biomedical Engineering  Volume  4  Number  1  Onuorah Samuel   Joson Lina   and Obika Ifeanyi   Vinegar production using Acetobacter aceti isolated from ten rotten banana fruits collected from different vendors in Eke-Awka Market in Awka, Nigeria was carried out using cultural techniques, with glucose yeast calcium carbonate-ethanol agar as the growth medium. The mean viable count of the bacterial isolates was 0.72 x 102 cfu/g. The isolates were characterized on the basis of their morphological and biochemical characteristics and identified as Acetobacter aceti and Acetobacter orleanensis with mean counts of 0.53 X 102 cfu/g and 0.19 x 102 cfu/g respectively. Freshly-tapped oil-palm wine was allowed to ferment for seven days at 30℃. The alcohol content was 10.0% while the pH value was 4.6 on the seventh day of the fermentation. The fermented palm wine was further fermented with the Acetobacter aceti for four weeks producing vinegar containing 7.1% acetic acid with a pH value of 3.5. The Acetobacter aceti grew well in high concentration of alcohol indicating that it is suitable for large scale vinegar production. In addition, the rotten banana fruits regarded as wastes were converted into a useful raw material for the isolation of Acetobacter aceti needed for the production of acetic acid and vinegar.
      PubDate: Feb 2016
School of Mathematical and Computer Sciences
Heriot-Watt University
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