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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: 23)
Advances in Economics and Business     Open Access   (Followers: 15)
Advances in Energy and Power     Open Access   (Followers: 16)
Advances in Pharmacology and Pharmacy     Open Access   (Followers: 6)
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: 23)
Civil Engineering and Architecture     Open Access   (Followers: 24)
Computational Research     Open Access   (Followers: 1)
Computer Science and Information Technology     Open Access   (Followers: 13)
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: 4)
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: 5)
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: 16)
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)
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
  • Predicting Hearing Aid Gain Values for Enhancing the Speech
           Intelligibility Using Correlation Algorithm

    • Abstract: Publication date:  Sep 2015
      Source:Universal Journal of Biomedical Engineering  Volume  3  Number  3  S. Rajkumar   S. Muttan   V. Jaya   and S. S. Vignesh   The tranquil solution for the hearing impaired subjects to get rid of the impairment is to wear the appropriate hearing aid to increase the hearing level and clarity of the perceived speech. Though the present day hearing aids are inbuilt with a suitable noise removing algorithm to get a clear speech signal, the satisfaction among the users is low. The satisfaction of the hearing aid users will be enhanced only with the fixation of appropriate Real Ear Insertion Gain (REIG) values for different frequency bands of the perceived speech signal. Various prescriptive procedures were developed so far in prescribing these values. But, the strenuous task for the audiologists is in selecting the best procedure and to suggest required modifications. The present work focuses this problem faced by the audiologists by analyzing the various technical snags and arrived with suitable solutions. In the present work, an expert system was developed to predict gain values without the need of the prescriptive procedures and reduced the trial and error time of the audiologists. A gain suggestion database of the satisfied subjects was developed, and later it was used by the correlation algorithm in the gain prediction process. The successful gain suggestions of the most correlated subject for different frequencies in the database are recommended for the new subject. The developed expert system was validated by performing hearing aid trials with 256 hearing impaired subjects and 93.7% of them received satisfaction. The successful gain suggestions made by the expert system are stored continuously to strengthen the database, so as to recommend the most appropriate gain values for the new subject.
      PubDate: Sep 2015
  • Identification of Motor Imagery Movements from EEG Signals Using
           Automatically Selected Features in the Dual Tree Complex Wavelet Transform

    • Abstract: Publication date:  Nov 2015
      Source:Universal Journal of Biomedical Engineering  Volume  3  Number  4  Syed Khairul Bashar   and Mohammed Imamul Hassan Bhuiyan   The decoding of human brain electrical functions by electroencephalogram (EEG) signal is the most important step in brain computer interface (BCI) based systems. So, in this paper, an automatic feature selection method has been proposed to classify imagery left and right hand movements from the EEG signals in the Dual Tree Complex Wavelet Transform domain. First, the EEG signals are decomposed into several bands of real and imaginary coefficients and then, some statistical features like Shannon entropy and variance have been calculated. These features are combined into a single feature space and after that optimal features have been selected automatically imposing some feature selection criteria from this combined feature space. The selected features have been shown to be promising to distinguish different kinds of EEG signals by statistical hypothesis testing (e.g., one way ANOVA) as well as graphical analysis (e.g., scatter plots, box plots). Finally, k-nearest neighbor based classifiers are developed using these selected features to identify left and right hand imagery movements. A mean accuracy of 90.00% is achieved in publicly available BCI competition II Graz motor imagery data set which is shown to be better than some existing techniques.
      PubDate: Nov 2015
  • Effects of Electroacupuncture Stimulation at Frequencies near the Heart
           Rate on the Microcirculatory Blood Flow

    • Abstract: Publication date:  Nov 2015
      Source:Universal Journal of Biomedical Engineering  Volume  3  Number  4  Fong-Cheng Lin   Hsin Hsiu   Yao-Chun Lin   Ching-Yi Chung   Wei-Chen Hsu   and Chao-Tsung Chen   Motivation: The frequency of electroacupuncture (EA) could substantially influence the induced response. We compared the effects of EA at frequencies at around the heart rate (HR) and 50%-higher-than-HR frequency on the microcirculatory blood flow (MBF). Methods: Skin-surface laser Doppler measurements were performed in healthy volunteers in three groups: (1) Group A (n=14), premeasurement-HR-frequency EA was applied; and (2) Group B (n=13), 50%-higher-than-HR-frequency EA. (3) Group C (n=16), no EA was applied. Each experiment involved recording a 20-min baseline-data sequence followed by an effect-data sequence obtained at 0–20 min after stopping 20 min of 0.08-mA EA. Results: Beat-to-beat time-domain waveform analysis (including the pulse width, flow rise time, and microcirculatory blood-flow variability) revealed that following EA, the MBF supply at the stimulated site was improved in both groups, and that the MBF perfusion through arteriolar openings appeared to be more efficient in Group A than in Group B. Conclusion: The obtained data may help to establish a new noninvasive method for studying the mechanisms underlying the MBF response induced by EA.
      PubDate: Nov 2015
  • Parylene Coatings in Medical Devices and Implants: A Review

    • Abstract: Publication date:  May 2015
      Source:Universal Journal of Biomedical Engineering  Volume  3  Number  2  Sushmitha Kuppusami   and Reza H Oskouei   This paper reviews various aspects of parylene coatings in medical devices and industry and summarises the fabrication methods of parylene coatings and their potential medical applications. In medical industry, two major beneficial properties of parylene include excellent barrier qualities and inherent bio-compatibility and bio-stability. The need for a bio-compatible material with good surface characteristics is of paramount importance. The recent findings indicate the application of parylene coatings in several areas of medical industry such as surgical instruments, implants, medical devices, mandrels, and medical electronics. Parylene has been slowly introduced into the research market, and has found to be competitive for available materials in the market. A review of the literature was undertaken to identify the prospective use to determine whether parylene coatings can survive the needs in medical industry.
      PubDate: May 2015
  • Benefits of Immunomagnetic Separation for Epitope Identification in
           Clinically Important Protein Antigens: A Case Study Using Ovalbumin,
           Carbonic Anhydrase I and Tau Protein

    • Abstract: Publication date:  Feb 2015
      Source:Universal Journal of Biomedical Engineering  Volume  3  Number  1  Barbora Jankovicova   Zuzana Svobodova   Lenka Hromadkova   Rudolf Kupcik   Daniela Ripova   and Zuzana Bilkova   Immunomagnetic separation (IMS) with specific antibody as affinity ligand immobilized on a magnetic carrier has several advantages in comparison with standard column separation procedures. Epitope mapping enabling identification and characterization of protein structures reactive with the antibody represents one possible application of IMS. We used epitope extraction technique based on the proteolytic digestion of the target protein followed by capturing of a specific peptide fragments by the antibody immobilized on the solid phase. Magnetic particles coated with antibody molecules were first incubated with the prepared mixture of peptides. After specific binding of peptide fragments comprising the epitope sequences, the beads were washed to remove non-epitope peptides. Captured epitope-peptides were then eluted in small volume of 0.05% TFA. Elution fractions were finally analyzed without any modification by mass spectrometry. In this work the results and experience gained in epitope mapping of three clinically important proteins (ovalbumin, carbonic anhydrase I and tau protein) are discussed.
      PubDate: Feb 2015
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
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