The explosion of technology, which we find in modern-day medical imaging centers, was a result of dynamic interactions, over many decades, between mathematicians, physicists, chemists, engineers, clinicians, and computer scientists. Although some of the discoveries in science, go back many centuries, the emergence of computer technology, during the 20th century, was the key to harnessing the explosion of innovations in imaging technolgy, that we now find in imaging centers, and gives us a framework for understanding how future medical imaging technology might emerge.
Mark Metzler is a retired Biomedical Engineer, living in Silicon Valley. He has gained system familiarity, while repairing over 1000 models of medical systems.including high-end medical imaging systems.while working at 12 medical centers. He is an active member of the Computer History Museum, in Moutain View, California. And his interests include researching how the evolution of computer technology impacts the emergence of new medical technology,
Abraham J. Domb is a Professor for Medicinal Chemistry and Biopolymers at the School of Pharmacy- Faculty of Medicine of the Hebrew University of Jerusalem. He earned Bachelor’s degrees in Chemistry, Pharmaceutics and Law studies and PhD degree in Chemistry from The Hebrew University of Jerusalem. He did his postdoctoral training at MIT and Harvard Univ. Cambridge USA and was R&D manager at Nova Pharm. Co. Baltimore US during 1988-1991. Since 1991 he is a faculty member at the Hebrew university, full Prof. since 1999. During 2007-2012 he headed the Division of Forensic Science at the Israel Police. During 2014 -2016 he served as President of the Jerusalem College of Engineering (JCE). Since 10. 2018 he is the Head of the School of Pharmacy of the Hebrew University. His current areas of interest include: biopolymers, functional polymers, drug delivery systems, biometric systemsand forensic sciences.
Xudong Wang is a professor in the department of Materials Science and Engineering at University of Wisconsin – Madison. He received his PhD degree from Georgia Tech in 2005. His current research interests include understanding the coupling effect between piezoelectric polarization and semiconductor functionalities, and studying the growth mechanisms and developing assembly techniques of oxide nanostructures for mechanical and solar energy harvesting. He has published more than 100 papers in peer reviewed scientiﬁc journals, contributed 9 book chapters in his research ﬁeld, and holds 7 patents/provisional patents on oxide nanostructures and nanomaterial-enhanced energy harvesting. His publications have been cited over 10,000 times by peers and his current h-index is 45. He is the recipient of NSF CAREER Award, DARPA Young Faculty Award, 3M Non-Tenured Faculty Award, Ross Coffin Purdy Award, and Technology Review Young Innovators Under 35 Award.
We develop a unified diagnosis and healthcare system via a quantum cloud-computing and wireless communication platform to intelligently handle various big data, e.g., gene sequences, molecular computing paths, brain-mind signals, and biomedical images from X-ray,computed tomography (CT), and nuclear magnetic resonance (NMR). To effectively use the big data, we store the data flows in an orderly distributed database called blockchain. Inside this database, we design differentgame-theoretic and deep convolutional neural network (DCNN) based artificial intelligence (AI) engines for gene trace, molecular-computing, image recovery, biomedical or disease diagnosis. In the gene comparison and diagnosis, we also establish a general mutual information formula to increase the accuracy of diagnosis comparison and capture the non-Gaussian feature of the big data. Long distance diagnosis and healthcare viaour system with different AI enginesover the current and future mobile (5G/6G) internets will also be addressed.
Wanyang Dai is the President & CEO of U.S. based (quantum-computing &blockchain) SIR Forum (Industrial 6.0 Forum),a distinguished professor in China based Nanjing University, President of China based Jiangsu Probability & Statistical Society, Chairman of China based Jiangsu Big Data-Blockchain and Smart Information Special Committee.Hereceived his Ph.D. from Georgia Institute of Technology in U.S. and was an MTS and principal investigator in U.S. based AT&T Bell Labs(currently Nokia Bell Labs). He received various academic awards and presented over 30 plenary/keynote speeches in IEEE and other international conferences. He has been serving as an editor-in-chief or aneditorial board member for various international journals.
New paradigms in the research and development of nanocarbon thin films are providing the bases for new physics, new materials science and chemistry, and their impact in a new generation of multifunctional biomedical devices. This talk will focus on discussing the science and technology of thenew paradigm material named ultrananocrystalline diamond (UNCDTM) in thin film form and integration into a new generation of medical devices and implants as described below: UNCDfilms co-developed and patented by O. Auciello and colleagues are synthesized by novel microwave plasma chemical vapor deposition and hot filament chemical vapor deposition techniques using an Ar-rich/CH4 chemistry that produces films with 2-5 nm grains.The fundamental science underlying the synthesis and properties of the UNCD films and applications to devices will be discussed. The UNCD films exhibit the lowest friction coefficient (0.02-0.04) compared with metals (≥ 0.5) currently used in many prostheses (e.g., hips, knees), electrically conductive UNCD coatings with nitrogen in grain boundaries can enable a new generation of neural electrodes, UNCD coatings are extremely biocompatible. Original Biomedical Implants (OBI-USA) and OBI-México, founded by Auciello and colleagues, are developing new generations of implantable medical devices based on the biocompatible UNCD coatings, namely: a) UNCD-coated silicon based microchip implantable inside the eye as a key component of the artificial retina to return partial vision to blind people by genetically-induced degeneration of photoreceptors; b) new generation of Li-ion batteries with ≥ 10x longer life and safer, using UNCD-based electrodes, membranes and inner wall battery case, enable next generation of defibrillator/pacemakers; c) new generation of implantable prostheses (e.g., dental implants, hips, knees) coated with UNCD eliminates failure of current metal-based implants due to synergistic mechanical wear / chemical corrosion by body fluids; d) UNCD-coated polymer with brain neurons tailored stiffness enables next generation less invasive electrodes for neural stimulation.
Auciello graduated with honors with M.S. (1973) and Ph.D (1976) degrees in Physics from the Physics Institute “Dr. Balseiro” (Universidad Nacional de Cuyo-Argentina). EE-University of Córdoba-Argentina (1970). Researcher-University of Toronto-Canada (1979-1984), Associate Professor-NCSU-USA (1985-1988), Distinguished Scientist-MCNC-USA (1988-1996), Distinguished Argonne Fellow (1996-2012)-Argonne National Laboratory-USA. Currently, Auciello is Distinguished Endowed Chair-University of Texas-Dallas. Auciello is directing basic and applied research programs on multifunctional oxide and novel ultrananocrystalline diamond (UNCD) thin films and application to industrial, high-tech, and medical devices. The UNCD film technology is commercialized for industrial products by Advanced Diamond Technologies, founded by Auciello and colleagues, (2003, profitable in 2014), and by Original Biomedical Implants (OBI-USA, 2013) and OBI-México (2016) for medical devices. Auciello has edited 20 books and published about 500 articles in several fields, holds 20 patents, He is associate editor of APL and Integrated Ferroelectrics, He was President of the Materials Research Society (2013) Auciello is Fellow of AAAS andMRS
A widely protective universal influenza vaccine is one top priority of public health and NIH/NIAID-funded biomedical researches in 2018-2019 fascial years. Conserved influenza epitopes are ideal immunogens for such vaccines. However, conserved influenza sequences are not immunogenic, triggering weak and short-term cross protection.We generated highly immunogenic recombinant proteins from conserved influenza epitopes by using gene and protein engineering, produced nano vaccines from the recombinant proteins through nanotechnology to mimic the highly immunogenic live viruses, and delivered the nanovaccines by using dissolvable microneedle patch skin administration. Our results demonstrated that the combination of gene/protein engineering, nanotechnology, and targeted vaccine delivery and controlled releasecan overcome the challenge for developing a painless and self-administrable universal influenza vaccine.
Baozhong Wang, Associate Professor at Georgia State University Institute for Biomedical Sciences, is focused on the interaction of viral pathogens with the host immune system. He studies how viral antigens (particularly influenza and HIV antigens) trigger immune responses, with specific emphasis at the crossroads of vaccines and bioengineering through the use of protein nanotechnology and controlled releases in vaccine development. Baozhong Wang earned his Ph.D in Molecular Biology and Biochemistry from Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences in 2003.
A new systems approach to diseased states and wellness result in a new branch in the healthcare services, namely, personalized and precision medicine (PPM). To achieve the implementation of PM concept, it is necessary to create a fundamentally new strategy based upon the subclinical recognition of biopredictors of hidden abnormalities long before the disease clinically manifests itself. Each decision-maker values the impact of their decision to use PPM on their own budget and well-being, which may not necessarily be optimal for society as a whole. It would be extremely useful to integrate data harvesting from different databanks for applications such as prediction and personalization of further treatment to thus provide more tailored measures for the patients resulting in improved patient outcomes, reduced adverse events, and more cost effective use of health care resources. A lack of medical guidelines has been identified by the majority of responders as the predominant barrier for adoption, indicating a need for the development of best practices and guidelines to support the implementation of PPM! Implementation of PPM requires a lot before the current model “physician-patient” could be gradually displaced by a new model “medical advisor-healthy person-at-risk”. This is the reason for developing global scientific, clinical, social, and educational projects in the area of PPM to elicit the content of the new branch.
Sergey Suchkov was born in the City of Astrakhan, Russia. In 1980, graduated from Astrakhan State Medical University and was awarded with MD. In 1985, maintained his PhD at the I.M. Sechenov Moscow Medical Academy and Inst of Med Enzymology. In 2001, and then his Doctor Degree at the Nat Inst of Immunology in Russia. From 1989 through 1995, was being a Head of the Lab of Clin Immunology, Helmholtz Eye Research Inst in Moscow. From 1995 through 2004 - a Chair of the Dept for Clin Immunology, Moscow Clin Research Institute (MONIKI). In 1993-1996, was a Secretary-in-Chief of the Editorial Board, Biomedical Science, an international journal published jointly by the USSR Academy of Sciences and the Royal Society of Chemistry, UK. At present, Dr Sergey Suchkov, MD, PhD, is: ● Professor, Director, Center for Personalized Medicine, Sechenov University and Dept of Clinical Immunology, A.I.Evdokimov Moscow State Medical and Dental University; ● Professor, Chair, Dept for Translational Medicine, Moscow Engineering Physical Institute (MEPhI), Russia ● Secretary General, United Cultural Convention (UCC), Cambridge, UK. Dr Suchkov is a member of the: ● New York Academy of Sciences, USA ● American Chemical Society (ACS), USA; ● American Heart Association (AHA), USA; ● European Association for Medical Education (AMEE), Dundee, UK; ● EPMA (European Association for Predictive, Preventive and Personalized Medicine), Brussels, EU; ● ARVO (American Association for Research in Vision and Ophthalmology); ● ISER (International Society for Eye Research); ● Personalized Medicine Coalition (PMC), Washington, DC, USA Dr Suchkov is a member of the Editorial Boards of “Open Journal of Immunology”,EPMA J., American J. of Cardiovascular Research and “Personalized Medicine Universe”
The main goal of Body Area Network,BANs, and Wearable BANs is to provide continuously biofeedback data to the patient and to the medical center.WBANs can record personal information, electrocardiograms, measure body temperature and blood pressure, measure heartbeat rate, arterial blood pressure and other healthcare parameters in an efficient way. For example, accelerometers can be used to sense heartbeat rate, movement or even muscular activity. Efficient small antennas are crucial in the development of wearable 5G communications and medical systems. Low efficiency is the major disadvantage of small antennas. However, design and production of compact efficient wearable antennas is one of the major challenges in production of wearable communication systems. Low profile compact antennas and transceivers are crucial in the development of wearable BANs and systems. Development of wearable antennas and compact transceivers for communication and biomedical systems will be described in this paper. The main goal of Wireless BANs, WBANs, is to provide continuously medical data to the physician. Meta material and fractal technology are used to improve the efficiency and bandwidth of small antennas. Moreover, the dynamic range and the efficiency of communication system may be improved by using active wearable antennas. Amplifiers may be connected to the wearable antenna feed line to increase the system dynamic range. New wideband passive and active efficient wearable antennas for IOT, BAN and 5G applications are presented in this paper. The gain and directivity of the patch antenna with Split-ring resonators, SRR, is higher by 2.5dB than the patch antenna without SRR. The resonant frequency of the antennas with SRR is lower by 5% to 10% than the antennas without SRR.Active small wearable antennas may be used in receiving or transmitting communication, IOT and medical systems. For example, the active slot antenna gain is 12+2dB for frequencies from 1.25GHz to 3.25GHz.
Albert Sabban (M'87-SM'94) received the B.Sc degree and M.Sc degree Magna Cum Laude in electrical engineeringfrom Tel Aviv University, Israel in 1976 and 1986 respectively. He received the Ph.D. degree inngineering electrical e from Colorado University at Boulder, USA, in 1991. Dr. A. Sabban reasearch interests are microwave and antenna engineering In 1976 he joined the armament development authority RAFAEL in Israel. In RAFAEL he worked as a senior researcher, group leader and project leader in the electromagnetic department till 2007. In 2007 he retired from RAFAEL. From 2008 to 2010 he worked as an RF Specialist and project leader in Hitech companies. From 2010 to date he is a senior lecturer and researcher in Ort Braude College in Israel in the electrical engineering department. He published over 65 research papers and hold patents in the antenna area. He wrote four books and two chapters in books on microwave and antennas engineering.
Fibrous structures comprise a large percentage of engineering materials found in both synthetic and biological composite systems. From a multiscale perspective, one must fully understand mechanical properties at both the molecular scale and the microscale in order to understand the mechanical properties at the composite level. In this presentation, I will discuss some computational and mechanical modeling techniques that can be used to study the behavior of fibrin clots that form in response to vascular injury. These techniques can also be used to study fibrin clots that form in cases of undesired and excessive coagulation. In addition, I will highlight mechanical modeling techniques that have been developed to understand multiscale mechanisms that govern the mechanical behavior of fibrin clots under various loading conditions.
Rodney D. Averett completed his PhD from Georgia Institute of Technology USA (2008), and postdoctoral studies from Georgia Tech & Emory University School of Medicine, USA (2012). He is an Assistant Professor in the School of Chemical, Materials, and Biomedical Engineering at the University of Georgia, USA. He has published manyarticles in reputable journals pertaining to fibrin mechanics and is currently serving as an editorial board member on several biomedical engineering journals.
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Lidia BENEA Full University Professor. Doctoral (Ph.D) Supervisor in Materials Science and Engineering. General Manager: CC-ITES Research (Competences) Centre Interfaces – Tribocorrosion and Electrochemical Systems (CC-ITES), www.cc-ites.ugal.ro Faculty of Materials Engineering Research field or area of interest innanotechnology -Applied Electrochemistry to Materials and Environmental Science and Engineering. -Nano and micro structured metals, alloys, polymers and composite coatings obtained by electroplating. processes. -Kinetic and mechanism of electrodeposition and co - deposition processes. -Degradation of materials (corrosion, tribocorrosion, biocorrosion). -Mechanism of materials degradation. -Surface modifications. -Biomaterials and biocoatings. -Chemical, electrochemical and biochemical interface processes. -Surface and interfacial phenomena in environmental protection processes. Interest in... Dispersed nanoparticles electro-codeposition. Nanostructured composite coatings. Hybrid layers. Thin nanoporous oxide films. Surface functionalization by electrochemical methods.
New paradigms in the research and development of nanocarbon thin films are providing the bases for new physics, new materials science and chemistry, and their impact in a new generation of multifunctional biomedical devices. This talk will focus on discussing the science and technology of thenew paradigm material named ultrananocrystalline diamond (UNCDTM) in thin film form and integration into a new generation of medical devices and implants as described below: UNCDfilms co-developed and patented by O. Auciello and colleagues are synthesized by novel microwave plasma chemical vapor deposition and hot filament chemical vapor deposition techniques using an Ar-rich/CH4 chemistry that produces films with 2-5 nm grains.The fundamental science underlying the synthesis and properties of the UNCD films and applications to devices will be discussed. The UNCD films exhibit the lowest friction coefficient (0.02-0.04) compared with metals (≥ 0.5) currently used in many prostheses (e.g., hips, knees), electrically conductive UNCD coatings with nitrogen in grain boundaries can enable a new generation of neural electrodes, UNCD coatings are extremely biocompatible. Original Biomedical Implants (OBI-USA) and OBI-Mexico, founded by Auciello and colleagues, are developing new generations of implantable medical devices based on the biocompatible UNCD coatings, namely: a) UNCD-coated silicon based microchip implantable inside the eye as a key component of the artificial retina to return partial vision to blind people by genetically-induced degeneration of photoreceptors; b) new generation of Li-ion batteries with ≥ 10x longer life and safer, using UNCD-based electrodes, membranes and inner wall battery case, enable next generation of defibrillator/pacemakers; c) new generation of implantable prostheses (e.g., dental implants, hips, knees) coated with UNCD eliminates failure of current metal-based implants due to synergistic mechanical wear / chemical corrosion by body fluids; d) UNCD-coated polymer with brain neurons tailored stiffness enables next generation less invasive electrodes for neural stimulation.
Auciello graduated with honors with M.S. (1973) and Ph.D (1976) degrees in Physics from the Physics Institute Dr. Balseiro (Universidad Nacional de Cuyo-Argentina). EE-University of Cordoba-Argentina (1970). Researcher-University of Toronto -Canada (1979-1984), Associate Professor-NCSU-USA (1985-1988), Distinguished Scientist-MCNC-USA (1988-1996), Distinguished Argonne Fellow (1996-2012)-Argonne National Laboratory-USA. Currently, Auciello is Distinguished Endowed Chair-University of Texas-Dallas. Auciello is directing basic and applied research programs on multifunctional oxide and novel ultrananocrystalline diamond (UNCD) thin films and application to industrial, high-tech, and medical devices. The UNCD film technology is commercialized for industrial products by Advanced Diamond Technologies, founded by Auciello and colleagues, (2003, profitable in 2014), and by Original Biomedical Implants (OBI-USA, 2013) and OBI-Mexico (2016) for medical devices. Auciello has edited 20 books and published about 500 articles in several fields, holds 20 patents, He is associate editor of APL and Integrated Ferroelectrics, He was President of the Materials Research Society (2013) Auciello is Fellow of AAAS andMRS
Food is any substance which provides nutritional support for an organism. It is usually of plant or animal origin, and contains essential nutrients, such as carbohydrate, fats, proteins, vitamins and minerals which is digested and assimilated to provide energy, growth and maintain life. Food safety is defined as the scientific discipline describing handling, preparation, and storage of food in ways that prevent food-borne illness. The occurrence of two or more cases of a similar illnesses resulting from the ingestion of a common food is known as a food-borne disease outbreak. So, it is a very critical issue to the sustainability of human life on the earth. This issue is currently under threat and facing many challenges. The current challenges facing food safety in Egypt will be discussed which include (but not limited to) changes in our food production and supply, changes in the environment leading to food contamination, the increasing use of pesticides and the possible hazards of carcinogenesis, food poisoning, liver failure and renal failure, the application of genetic engineering in food production, new and emerging bacteria, toxins, and antibiotic resistance and the expansion of food industries and readymade foods. On the other hand, the international efforts taken to confront such challenges will be presented which include the use in natural product in agriculture (bio-fertilizers), the use of natural products in food preservation, the use of natural products in controlling agricultural pest as a substitute for pesticides either during plant life or at postharvest stage, the use of bio-control technology in agriculture, organic and bio-agriculture. and clean agriculture.
Negm occupied the position of vice dean for Academic and Student Affair. He worked for Egypt-Japan University of Science and Technology (E-JUST) as a professor of Water Resources since Dec. 2012 until Sept. 2016 and chairperson of Environmental Engineering Dept. at E-JUST since March 2013 until March 2016. He published about 400 papers in national and international Journals and conferences. He is listed in (a) Marquis Who is Who?, (b) IBC's 2000 Outstanding Intellectuals of the 21st Century , and (c) ABI directory for his achievement in the scientific field. He participated in more than 60 conferences. Currently, he is very interested in sustainability studies, Sustainable development and green environment.
Acid and pepsin-solubilized collagen isolated from Oreochromis niloticus skin using the Ogawa method was performed at a temperature of 22-23C with sentrifuge speed of 10,000 g. The collagen made was then synthesized with various concentration of poly(vynil alcohol) and acetate acid to produce hydrogels using simple mixing method. The concentrations used were 3,15 g PVA in 20 mL acetate acid, 6,125 g PVA in 17,5 mL acetate acid, and 9,09 g PVA in 15 mL acid. The solutions were then stirred with Phosphate Buffered Saline (PBS) and Oreochromis niloticus derived collagen. Hydrogels biocompatibility was tested by using MTT assay method. The test were conducted in Dulbeccos Modified Eagle Medium (DMEM) by using Hepar cells (Huh74it) as control cells. The results were then analyzed by ELISA reader in two absorbance number which are upper absorbance with 560 nm wavenumber and 750 nm wavenumber in lower absorbance. Three types of samples were found to had high cells viability which are 93,194%, 94,972%, and 95,127% from samples with high concentration to the lowest concentration of poly(vynil alcohol). Keywords: Oreochromis niloticus-based collagen, poly(vinyl alcohol), MTT assay, Dulbeccos Modified Eagle Medium (DMEM), cartilage.
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Biological materials, as well as industrial composite materials, present very complex structures constituted by various compartments at different scales. Materials having the same constituents can differ in microstructural geometrical arrangement, which can have a significant impact on the overall behavior of the heterogeneous structure. Diverse phenomena observed on the macroscopic scale, such as viscoelastic effects or ability of contraction, originate from processes that are associated with the microstructural level. The macroscopic behavior of heterogeneous materials depends strongly on the spatial distribution, shape and material properties of the microstructural constituents and their interactions. There are different approaches that can be used in mathematical modelling of heterogeneous multi-phase materials, especially biological tissues. The mixture theory, based on the constituent volume fractions, or self-consistent methods are well known and commonly used, but they are applicable only for a limited range of problems with a specific geometry. The so-called micro-continuum methods incorporate material microstructural data into the description by introducing additional degrees of freedom that usually reflect some aspects of the underlying microstructure. In this work, the method of asymptotic homogenization (AHM) is applied to describe the mechanical behavior of soft biological tissues. This approach operates with multiple scales and enables to respect the geometrical arrangement and material constitution of the media on different structural levels. The main advantage of this method is that it provides a general framework that can be relatively easily extended; therefore, it is possible to incorporate new features to the current models.
Reinaldo Rodriguez Ramos was born 22 de Agosto de 1958, Camaguey, Cuba. He is Full Professor of Mathematics at Faculty of Mathematics and Computer Sciences of University of Havana, Cuba. Dr. Rodriguez has served the University of Havana in several roles since 1987. Currently, more than 5 projects in composites-related fields are ongoing. He has advised 7 PhD and more than 25 masters students as well as more than 30 undergraduate students. Dr. Rodriguez has authored/co-authored more than 100 publications in composites science and technology including more than 90 refereed journal papers, 60 proceeding papers. He has received more than 15 national awards for his contributions in Solids Mechanics.
The theory of acoustic and electromagnetic wave scattering by one and many small impedance particles of arbitrary shapes is developed. The basic assumptions are ad, where a is the characteristic size of particles,d is the smallest distance between the neighboring particles is the wavelength. This theory allows one to give a recipe for creating materials with a desired refraction coecient. One can create material with negative refraction: the group velocity in this material is directed opposite to the phase velocity. One can create a material with a desired wave focusing property. Equation is derived for the EM eld in the medium in which many small impedance particles are embedded. Similar results are obtained in for heat transfer in the media in which many small particles are distributed.
Ramm obtained a B.S. degree in mathematics in 1959 and an M.S. degree in 1961 both at Leningrad State University. He received a Ph.D. degree from Moscow State University in 1964 and Dr. Sci. in 1972 at the Mathematics Institute Academy of Science, Minsk. Ramm taught at Leningrad Institute of Precision Mechanics and Optics from 1962-1979.He was a Visiting Professor and Research Scientist at the University of Michigan in 1979-1981. He has been a Professor at Kansas State University since 1981, and lectured at many Universities and Research Centers around the world.
The strategy of price liberalisation and privatisation had been implemented in Sudan over the last decade, and has had a positive result on government deficit. The investment law approved recently has good statements and rules on the above strategy in particular to pharmacy regulations. Under the pressure of the new privatisation policy, the government introduced radical changes in the pharmacy regulations. To improve the effectiveness of the public pharmacy, resources should be switched towards areas of need, reducing inequalities and promoting better health conditions. Medicines are financed either through cost sharing or full private. The role of the private services is significant. A review of reform of financing medicines in Sudan is given in this study. Also, it highlights the current drug supply system in the public sector, which is currently responsibility of the Central Medical Supplies Public Corporation (CMS). In Sudan, the researchers did not identify any rigorous evaluations or quantitative studies about the impact of drug regulations on the quality of medicines and how to protect public health against counterfeit or low quality medicines, although it is practically possible. However, the regulations must be continually evaluated to ensure the public health is protected against by marketing high quality medicines rather than commercial interests, and the drug companies are held accountable for their conduct.
Abdeen Mustafa Omer (BSc, MSc, PhD) is an Associate Researcher at Energy Research Institute (ERI). He obtained both his PhD degree in the Built Environment and Master of Philosophy degree in Renewable Energy Technologies from the University of Nottingham. He is qualified Mechanical Engineer with a proven track record within the water industry and renewable energy technologies. He has been graduated from University of El Menoufia, Egypt, BSc in Mechanical Engineering. His previous experience involved being a member of the research team at the National Council for Research/Energy Research Institute in Sudan and working director of research and development for National Water Equipment Manufacturing Co. Ltd., Sudan. He has been listed in the book WHOS WHO in the World 2005, 2006, 2007 and 2010. He has published over 300 papers in peer-reviewed journals, 100 review articles, 5 books and 100 chapters in books.
Although TMJ is a synovial joint, there are particularities that physiology can explain for its diagnosis and consequently better treatment is proposed. We cannot propose treatment without knowing how TMJ is normally. In this chapter, we will make a brief review of physiology to make clear the adaptive response of TMJ. The stomatognathic system is a functional neuromuscular system that makes TMJ depending on the physical loads and the force vectors involved in jaw motion. The understanding of physics and human physiology makes us understand better the stomatognathic system. From now on, we can discuss several possibilities of functional surgical treatment Possibilities for surgical treatment:Indication and surgical technique Arthrocentesis Video Arthroscopy - Diagnostic Disc supplementation / PRP Stem cells (Discopexy) Anchorage Ablation and radiofrequency Alloplastic reconstructions / Prostheses (stock and customized)
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Big Data, the energy of the 21st century, the seed of innovative companies. The explosion of the volume of data and the emergence of Big Data drastically modify the decision-making process, particularly the strategic decision. Our research proposes a managerial approach to Big Data through qualitative studies based on the Organizational Vision model (Swanson and Ramilier 1997). Our research analyzes the media and the scientific discourse surrounding Big Data with the objective to define an inter-organizational grid of the adoption of Big Data technologies used to detect weak signals and support the strategic decision. The objective of this research is to identify the Organizing Vision Communities that influence the decision of adoption of Big Data Technologies to detect Weak Signal from huge amount of data to help decision makers opting the best possible strategic decisions and to study how the discourse of the organizing vision influences the adoption decision of these technologies. Our research mainly investigates five sectors: health, financial markets, marketing, energy and security. Our research question is: Which communities of the organizing vision influence the decision of adoption of Big Data technologies to detect weak signals and support strategic decision? Our research based on three studies. The first study analyzes the professional media discourse around the concept of Big Data, Weak Signal and Strategic Decision. The second analyzes the systematic literature review on Big Data concept, Weak Signal and Strategic Decision. The third study based on interviews with users, expert and professionals of Big Data, is interested in understanding how and why some Big Data technologies are adopted to detect weak signals and support strategic decision and not others. This research study the influence of different communities of organizing vision specifically on the decision of adoption of Big Data technologies and the contributions of these technologies to detect weak signals and support strategic decision
Ali Fouladkar, 28 years old, a researcher in Big Data field, deals with the concept of Big Data, Weak Signal and Strategic Decision. Information System lecturer at Grenoble Graduate Business School (IAE Grenoble). The purpose of his thesis Detection and Interpretation of weak signals from big data for a strategic decision : adoption of technology is to identify which Communities of the Organizing Vision influence the decision of adoption a Big Data technologies to detect weak signals and support strategic decision. In the Bachelor and Master Degree level, he achieved the first rank in his university in the field of Business Management. Ali participated in many Research Days and Round Table related to Big Data issues in USA and France. Hisresearcherspresented and cited at high-level international conferences.
The issue of corrosion is a well-known problem and it causes the weakening of metal and its properties and makes it unfit for use. Corrosion causes enormous economic losses consistently over years in equipment maintenance, repair, and its substitution. In Gulf Cooperation Council (G.C.C) countries, money spent into corrosion control and repair are extremely dependent on production of oil, refining and petrochemicals sector shall be noteworthy as it comprises more than 33% of gross domestic products. Until now, various coatings have been developed to tackle this problem like sacrificial coatings, barrier coatings, noble metal coatings and electrically resistive coatings. In this study, self-healing smart anti-corrosion coatings were synthesized as it is a much lesser investigated area of research. Functionalized particles from mesoporous carbon along with mesoporous silica etc. were used as Nano containers for encapsulation of corrosion inhibitor for self-healing purpose using layer-by layer (lbl) self-assembly method and their effect on performance of coatings were studied after adding in commercially available polymer matrix against the corrosion of mild carbon steel in seawater. A series of tests were conducted on the resultant coatings to investigate their corrosion resistance, self-healing performance etc. This study will evaluate the protection offered by coatings of commercially available porous materials against the corrosion of mild steel in seawater, along with addition of different encapsulated nano containers in the polymer matrix. Benzotriazole (BTA) was used as a corrosion inhibitor in this study for synthesizing Nano containers. Self-healing smart anti-corrosion coatings, is a much lesser explored area of research with the major challenge of low adhesion properties and release of Nano containers to heal the corroded metal substrate. This calls for preparation of substrate surface and treatment of coatings to establish good interfacial interaction of the nano containers with the porous material and their successful release in the medium upon a pH change to avoid delamination/corrosion of coatings in water. The potential of the functionalized carbon materials to further enhance anticorrosion performance of the self-healing coatings was also evaluated. The coatings were prepared by brush coatings as well as dip-coating methods in determined optimal conditions on clean polished mild carbon steel coupons. The coating degradation behavior and corrosion resistance was investigated by the immersion tests (performed in 3.5 wt. % sodium chloride solution) and Potentiostatic Electrochemical Impedance Spectroscopy (PEIS). Brunauer Emmett Teller (BET) testing was done only initially in order to determine the degree of impregnation in the pores of the carbon and silica materials. Corrosion monitoring was performed using Linear Polarization (LP) technique. Other nanocapsules characteristics were studied using techniques such as Fourier Transform Infrared Spectroscopy (FTIR), X Ray Diffraction (XRD) was used to characterize the composition of the multilayers of the Nano capsules, Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM) were used to analyze the surface morphology of coatings as well as nanocapsules. The visual appearance of coating and corrosion products was studied using Optical Microscopy (OM). Coating thickness measurements were done using a standard PosiTector gauge. Zeta Potential was also analyzed continuously during the synthesis of nanocapsules in order to optimize the layer-by-layer assembly of a self-healing coating. Ultraviolet visible spectroscopy (UV-Vis) was also studied to analyze the release behavior of the synthesized Corrosion Inhibitor encapsulated Nano containers in different pH of water. Self-healing testing of the synthesized coatings based on ASTM D7027-13 standards was also carried out to analyze the coating performance when exposed to corroding conditions. The electrochemical impedance spectroscopy (EIS) results illustrated the improved corrosion resistance of the coating based on carbon materials. The proposed coating also had a rapid self-healing ability in the presence of water. The mesoporous carbon based coatings produced, were highly stable and protective in nature. The self-healing coatings possessed high impedance good barrier characteristics. The mesoporous carbon and functionalized mesoporous carbon coatings were compared with coatings of mesoporous silica and commercially available vinyl acrylate. The SEM analysis also revealed successful release of BTA onto the corroded surface thus verifying the self-healing effect. UV-Vis predicted that the carbon based capsules had more impregnation of the corrosion inhibitor than the silica based nanocontainers. It was observed that carbon based coatings and its 5 wt. % composition in the polymer matrix had better anticorrosive performance and adhesion than the silica coatings and provided much greater substrate protection as explained in the work in detail.
Ahmad tabish is presently working as a Researcher at Petroleum Institute Research Center of Khalifa University of Science and Technology, Abu Dhabi, UAE in the field of corrosion coatings based on polymers for oil/gas industry. I have a good International and National exposure in working in Research projects. Presently, I am a Researcher at Petroleum Institute of Khalifa University of Science and Technology, Abu Dhabi National Oil Company (ADNOC) at Abu Dhabi, UAE. My Research work includes synthesis of self-healing anti corrosion coatings based on nano-materials. I also pursued Masters of Science (MSc) in Chemical Engineering from Petroleum Institute. I am very devoted towards my work with a passion to achieve newer heights. I am quite hard working with an aim to fulfill my short goals on a daily basis. I have a Research experience at The University of Queensland, Australia in 2013 where I worked on various Research Projects which included safety in coal mining industries, expanding RISKGATE analysis to Oil and Gas industries. I was in the Indian Delegation at the Power Shift Summit 2013 held at Melbourne, Australia; one of the largest Climate Change Summit in the history of Australia. I was also invited by Indian Institute of Science Education and Research (IISER), Kolkata, India as a young Researcher in 2013. I also worked as an intern at Indian Oil Corporation Limited (IOCL), Panipat Refinery in RFCC unit. I was also invited by The Petroleum Institute, Abu Dhabi, UAE to work as a Visiting Research Assistant in Gas Sweetening Process in August, 2014. And I worked in Institute's Takreer Research Centre on the Project.
In recent year, many governments on their E-health national strategies have pledged substantial levels of financial investment for Personal health record ePHRs in health care. The National Program for IT in the UK National Health Service (NHS), led by the agency NHS Connecting for Health, was estimated to cost E12.8 bn. In the US, the Obama administration has committed a US$38 billion for E-health investment. A serious concern is to ensuring a cost-efficient, innovative and high-quality personal health record ePHRs or Summary care report SCR still a massive challenge in both developed and developing countries. This motivates a series of initiatives aimed at more integrated care. And the desirability of integrated services for better healthcare: more patient-centered healthcare delivery - improved resource utilization - better management of information. Consequently, many questions still rising of the slowing implementation and adoption of the ePHRs as a nation-regional wide tool to a better healthcare Management. This study aims to provide insights on the factors, which would influence a patients intention to use an ePHRs system. In particular, will consider the changing role of consumers in managing their health, and the implications of such a role change for ePHRs system use. As such, the study introduces a scoping review and examination of the literature pertaining to the potential of ePHRs systems to support a shift towards consumer based health care. Secondly, presents the theoretical underpinnings of our further research study based on both MIS and Psychology theories in conjunction with the theoretical Health Information Systems HIS Evaluation Framework model. The expected findings will provide several contributions to theory and practice. With respect to benefits to theory, findings of this research will open the gateway to apply the significant body of research on patients motivation and self - determination to the context of ePHRs adoption as well as personal health management. With respect to practice, findings of this research study can inform hospital top managers, industrial developers and Ehealth national decision makers on how to more successfully go about their jobs. In addition, the results can inform health care providers on how to support and facilitate the use of PHR systems for their patients.
Asmaa HIDKI is a Medical Doctor, PhD in Management &Information Systems (MSI), E-health expert researcher in the field of connected health. She is an expert in the field of health informatics in several international organizations and national societies (The World Health Organization, The Swiss Society of Virtual Augmented Reality, Peruvian Society of Virtual Health Technology, Canadian Red Cross, HIMSS, etc.), Internal Physician in Surgery specializing in Expertise and Engineering of Health Information Systems with sub specialty in Global Health Informatics and Digital Health in the recent years. Her research interests include the impacts of Health Information Systems (HIS), socio-organizational barriers to adoption and implementation of HIS, digital connected health and virtual global health. She publishes in medical journals of international renown and invited speakers in many national-international Conferences related to Global Health, Virtual Reality technology in healthcare.
Changes in the morphology of a skin lesion is indicative of melanoma, a deadlytype of skin cancer. This talk describes a temporal analysis method to monitor thevascularity, pigmentation, size and other critical morphological attributes of the lesion.Digital images of a skin lesion acquired during follow-up imaging sessions serves as inputto the system. The images are preprocessed to normalize variations introduced over time.The vascularity is modelled as the skin images’ red channel information and its changes bythe Kullback-Leibler (KL) divergence of the probability density function approximation ofhistograms. The pigmentation is quantified as textural energy, changes in the energy andpigment coverage in the lesion. An optical flow field and divergence measure indicates themagnitude and direction of global changes in the lesion. Sub-surface change is predictedbased on the surface skin lesion image with a novel approach. Changes in keymorphological features such as lesions’ shape, color, texture, size, and border regularityare also computed. Future trends of the skin lesion are estimatedvia an auto-regressive predictor.Finally, the classification performance with features extracted using deep convolutionalneural networks and the hand-crafted lesion features are compared. An accuracy of 80.5%,specificity of 98.14%, sensitivity of 76.9% with a deep learning neural network and anaccuracy of 25.17%, sensitivity of 92.31%, specificity of 8.9% with the hand-craftedfeature approach is achieved. Experimental results show the potential of the proposedmethod to monitor a skin lesion in real-time during routine skin exams.
Mehmet Celenk is currently working as a Professor in the School of Electrical Engineering and Computer Science at Ohio University, US. He received his Ph.D. from Stevens Institute of Technology in Electrical Engineering and Computer Science in 1983. He received many awards and grants. He has published 300 articles and is an active reviewer for numerous professional societies, journals/transactions, publishers, and funding agencies. Research Interests: image-video processing, computer vision, pattern recognition, biomedical imaging and multisensory data fusion
There is a growing demand for technological improvement in healthcare. The electro-active features of biological cells inspires researchers to investigate electronic characteristics of molecular species with the application of electrical fields. The application of electrical fields to stimulate cellular reactions and activate bio-cells to recover from a disorder or disease is one such consideration. Electrical stimulation for disease treatment, has long been known to have an important effect on living creatures. It can influence the cell function by inducing various types of responses which may enhance or inhibit various molecular mechanisms. Therefore, the application of electrical fields and cellular reactions becomes fundamental for developing smart Biomedical Integrated Circuit (IC) solutions for a variety of low power and light-weight biomedical treatment devices that are implanted within the body and for non-invasive devices to improve patients’ lives with no risk. Bioelectronics device technology advancements that use the application of an electrical stimulation to treat chronic diseases made the reliable Nanometer CMOS technology (Complementary Metal-Oxide Semiconductor) for biomedical IC design to medical needs more important and challenging. It can be designed for use as alternative treatments to overcome the deficiencies of several conventional medical treatments. It could potentially assist as drug-free relief to treat terminal diseases when therapeutic drugs become ineffective and cannot be replaced. In this review, the initial focus of the research attempts, is to obtain a fundamental understanding of biomedical IC design and the interface between the electronic signal and the biological materials in order to develop the bio-concept and introduce a biomedical treatment device capable of communicating with electro-active biological cells assisting human health.
Ibtisam. A. Abbas Al-Darkazly is a Biomedical Engineer, PhD. in Electronics & Computer Engineering, (CMOS Biomedical Integrated Circuits Design for Electro-Therapy Devices), Massey University, Auckland, NZ., (Member of the Center for Research in Analog and VLSI Microsystem Design). MEng. Master in Material engineering with Honours (Synthesis of a novel conductive polyurethane materials for optical applications), Auckland University of Technology, NZ., (Member at Institute of Biomedical Technologies (IBTEC), Auckland University of Technology). She has experience and the consulting capability in biomedical technology design and applications including 16 years research experience. Her research interests is in the field of new technology development of bio-based concepts and inspire research ideas, for biomedical treatment devices, biomaterials and application. She have experience in Bio-electrochemistry research with a good understanding of electro-active features of biological cells, cellular proteins and its function. Her current work is centered on development of biomedical devices and Bioink materials for Biological Replacement Tissue and Devices, Massey University, NZ., (currently, member of the Sensors and Robotics Laboratory). Her researches published in peer-reviewed journals and presented at international conferences. She had been chosen as a candidate for inclusion in the 2007 Edition of Marquis Who'sWho in the world.
Glucose is a key energy supplier and nutrient for tumor growth. Inspired by the glucose oxidase (GOx)-assisted conversion of glucose into gluconic acid and toxic H2O2, a novel treatment paradigm of starving-like therapy is developed for significant tumor-killing effects, more effective than conventional starving therapy by only cutting off the energy supply. Furthermore, the generated acidic H2O2 can oxidize L-Arginine (L-Arg) into NO for enhanced gas therapy. By using hollow mesoporous organosilica nanoparticle (HMON) as a biocompatible/biodegradable nanocarrier for the co-delivery of GOx and L-Arg, a novel glucose-responsive nanomedicine (L-Arg-HMON-GOx) has been for the first time constructed for synergistic cancer starving-like/gas therapy without the need of external excitation, which yields a remarkable H2O2-NO cooperative anticancer effect. Furthermore, in order to promote the effective tumor accumulation of HMON for precise cancer theranostics, the sub-50 nm thioether/phenylene dual-hybridized HMON with low hemolytic effect has been successfully synthesized. Particularly, the surface modification with Mo(VI)-based polyoxometalate (POM) clusters drives the selfassembly of HMON in the mild acidic tumor microenvironment (TME) to achieve enhanced tumor retention and accumulation. Moreover, the reducibility-activated Mo(VI)-to-Mo(V) conversion within POM not only endows the POM-anchored HMON with outstanding TME-responsive photothermal therapy (PTT) performance, but also plays an indispensable role in controllably triggering the decomposition of the Mn2(CO)10 payload for CO release, which gives rise to remarkable synergistic PTT-enhanced CO gas therapy for complete tumor eradication. This smart POM-anchored HMON nanoplatform is expected to act as a “magic bomb” to selectively destroy cancer without damaging normal tissues, promising for clinical translation.
Wenpei Fan received his PhD in 2015 from Shanghai Institute of Ceramics, Chinese Academy of Sciences under the direction of Prof. Wenbo Bu and Prof. Jianlin Shi. He then worked with Prof. Xiaoyuan (Shawn) Chen at National Institutes of Health as a postdoctoral fellow since 2015. He has published more than 40 papers (H-index=24) in reputed journals (e.g., Chem. Rev., J. Am. Chem. Soc., Angew. Chem. Int. Ed., Adv. Mater., etc.) and has been serving as an editorial board member of Metabolomics. His research interest focuses on the design and synthesis of multifunctional nanotheranostics for multimodal imaging guided synergistic therapy.
Refractory epileptic patiensts, of all ages and conditions, can have seizures anytime, anywhere. Their daly lives will be enormously improved when transportable (and comfortable) devices will warn them of a coming seizure. There has been an intensive and extensive research to buil such devices. However progresses have been insufficient and research goes on in many places. Deep learning is the most successful and promising machine learning approch. Building classification and decision algorithms to make good predictions and avoid false warnings is an interesting challenge addressed in this presentation. Convolutionl Neural Networks (CNN) and Long Short Term Memory Networks (LSTM) are developed for this purpose. The degrees of freedom of these networks are discussed and used to improve performance in sensitivity and specificity. A set of features, based on the energy content of an intracranel electrode placed in the epileptic focus (where the seizure starts), and the spectral distributions in a set on bands, is used for training and testing the predictors. Results for a set of patients show that these machine learning tools have a strong potential to build algrithms for efective seizure prediction. However a more large study is needed, including a large trial with patients in ambulatory, to find a solution that will be accepted by the clinical community.
Antonio Dourado is Professor and Director of Soft Computing Group of Center for Informatics and Systems of the University of Coimbra. He was the PI of the European project EPILEPSIAE, researching algorithms for EEG-ECG processing for epileptic seizures prediction. He is author or co-author of more than 250 international publications in referred journals, book chapters and conferences. He is member of IEEE and has been co-founder of the European Control Association and of the Portuguese Association of Automatic Control (IFAC National Member). Main research interests: Computational Intelligence, Signal Processing, Data Mining for Medical and Industrial Applications, and Intelligent Control.
Premeltons are examples of emergent structures (i.e., structural solitons) that arise spontaneously in DNA due to the presence of nonlinear excitations in its structure. They are of two kinds: B-B (or A-A) premeltons form at specific DNA-regions to nucleate site-specific DNA melting. These are stationary and, being globally nontopological, undergo breather motions that allow drugs and dyes to intercalate into DNA. B-A (or A-B) premeltons, on the other hand, are mobile, and being globally topological, act as phase-boundaries transforming B- into A- DNA during the structural phase-transition. They are not expected to undergo breather-motions. A key feature of both types of premeltons is the presence of an intermediate structural-form in their central regions (proposed as being a transition-state intermediate in DNA-melting and in the B- to A- transition), which differs from either A- or B- DNA. Called beta-DNA, this is both metastable and hyperflexible and contains an alternating sugar-puckering pattern along the polymer-backbone combined with the partial-unstacking (in its lower energy-forms) of every other base-pair. Beta-DNA is connected to either B- or to A- DNA on either side by boundaries possessing a gradation of nonlinear structural-change, these being called the kink and the antikink regions. The presence of premeltons in DNA leads to a unifying theory to understand much of DNA physical-chemistry and molecular-biology. In particular, premeltons are predicted to define the 5 and 3 ends of genes in naked-DNA and DNA in active-chromatin, this having important implications for understanding physical aspects of the initiation, elongation and termination of RNA-synthesis during transcription. For these and other reasons, the model will be of broader interest to the general audience working in these areas. The model explains a wide variety of data, and carries within it a number of experimental predictions all readily testable as will be described in my talk.
Henry M. Sobell completed his studies at Brooklyn Technical High School (1948-1952), Columbia College (1952-1956), and the University of Virginia School of Medicine (1956-1960). Instead of practicing clinical medicine, he then went to the Massachusetts Institute of Technology (MIT) to join Professor Alexander Rich in the Department of Biology (1960-1965), where, as a Helen Hay Whitney Postdoctoral Fellow, he learned the technique of single crystal X-ray analysis. He then joined the Chemistry Department at the University of Rochester, having been subsequently jointly appointed to both the Chemistry and Molecular Biophysics departments (the latter at the University of Rochester School of Medicine and Dentistry), becoming a full tenured Professor in both departments (1965-1993). He is now retired and living in the Adirondacks in New York, USA.
There is increasing evidences that favor the prenatal beginning of schizophrenia. These evidences point toward intra-uterine environmental factors that act specifically during the second pregnancy trimester producing a direct damage of the brain of the fetus . The current available technology doesn't allow observing what is happening at cellular level since the human brain is not exposed to a direct analysis in that stage of the life in subjects at high risk of developing schizophrenia. Methods. In 1977 we began a direct electron microscopic research of the brain of fetuses at high risk from schizophrenic mothers in order to finding differences at cellular level in relation to controls. Results. In these studies we have observed within the nuclei of neurons the presence of complete and incomplete viral particles that reacted in positive form with antibodies to herpes simplex hominis type I [HSV1] virus, and mitochondria alterations . Conclusion. The importance of these findings can have practical applications in the prevention of the illness keeping in mind its direct relation to the aetiology and physiopathology of schizophrenia. A study of the gametes or the amniotic fluid cells in women at risk of having a schizophrenic offspring is considered. Of being observed the same alterations that those observed previously in the cells of the brain of the studied foetuses, it would intend to these women in risk of having a schizophrenia descendant, previous information of the results, the voluntary medical interruption of the pregnancy or an early anti HSV1 viral treatment as preventive measure of the later development of the illness.
Segundo Mesa Castillo. As Specialist in Neurology, he worked for 10 years in the Institute of Neurology of Havana, Cuba. He has worked in Electron Microscopic Studies on Schizophrenia for 32 years. He was awarded with the International Price of the Stanley Foundation Award Program and for the Professional Committee to work as a fellowship position in the Laboratory of the Central Nervous System Studies, National Institute of Neurological Diseases and Stroke under Dr. Joseph Gibbs for a period of 6 months, National Institute of Health, Bethesda, Maryland, Washington D.C. USA, June 5, 1990. At present he is member of the Scientific Board of the Psychiatric Hospital of Havana and give lectures to residents in psychiatry.
Cervical cancer is the major cancer affecting men and is growing at a very significant rate. One of the major challenges in treatment of cervical cancer is its detection in early stages. The use of Cervical Specific Antigen (CSA) testing has aided the prediction of cervical cancer. The most widespread techniques for detecting cervical cancer are based on the enzyme-linked immune sorbent assay (ELISA). Recently, bio molecule sensors based on quasi one dimensional semiconductor nanostructures like nanotubes, nanowires and nanobelts have attracted considerable attention because of their distinct electrical, optical and magnetic properties. Hence, here we analyze the device properties of Carbon Nano Tubes (CNT) such as mechanical properties, optical and electrical properties and its relevance as cervical cancer detector or CSA detector. The comparison of MOSFET inverter with CNTFET is also carried out and found that CNTFET has same performance as that of MOSFET with less complexity. Carbon nanotubes have many properties, from their unique dimensions to an unusual current conduction mechanism that make them ideal components of electrical circuits. Currently, there is no reliable way to arrange carbon nanotubes into a circuit. CNTFETs with sub-100 nm channel length could be fabricated by means of electron beam lithography. The precision of the Stanford model can be explained by the several non-idealities assimilated such as scattering, effects of the doped source/drain extension region, Schottky barrier resistance and inter-CNT charge screening effects. The quasi-ID device structure gives better gate electrostatics control over the gate region. Increasing the number of CNTs per device is the most effective way to improve the on current. The cervical cancer cells detection at early stage by this CNTFET bio-sensor is noel approach.
Basavaraj Tumbad pursuig degree from Rajiv Gandhi Institute of Technology in Biomedical Engineering, India and this paper has done under the guidance of Mr.Ashwath Narayan B.S an Assistant Professor of Rajiv Gandhi Institue of Technology Bangalore,India.he published his first paper recently.
Following the rising cases of high hospitalization versa-vise incessant fatality rates and the close affinity of listeria with HIV/AIDS infection, which often emanates from food-borne pathogens associated with listeriosis monocytogenes infection, this present paper seek and formulated as penultimate model, a set of 8-Dimensional classical mathematical equations that directly accounted for the biological interplay of dual listeriosis virions with dual set of population (human and animals) studied under multiple chemotherapies (trimethoprim-sulphamethoxazole with a combination of either penicillin or ampicillin and/or gentamicin). Using ODEs, the positivity and boundedness of system solution was investigated and model presented as an optimal control problem. In the analysis that follows, the study explored classical Pontryagins Maximum Principle with which the model optimality control system as well as existence and uniqueness of the control system were established. In correlating the derivedmodel with clinical implications, numerical validity of the model was conducted. Results indicated that under cogent and adherent to specify multiple chemotherapies, maximal recovery of both human and animal infected population was tremendously achieved with consequent rapid decline to near zero infection growth. The study therefore suggests further articulation of more chemotherapies and early application at onset of infection for a visible elimination of listeriosis infection.A possibility geared towards the advancement of biomedicalengineering.
Bassey Echeng Bassey, a philosopher in Computational Mathematics and Informatics from Kuban State University, Krasnodar Russia and M.Sc. in Industrial Mathematics, Federal University of Agriculture, Makurdi, Nigeria. He is a senior researcher/lecturer and presently the Co-coordinator Head of Pre-degree program, Cross River University of Technology, Calabar, Nigeria. Published more than 27 papers in reputed journals, monographs and author of textbooks that have been cited over 195 times with 9 h-index. Serving as an editorial board member and peer-reviewed of number of reputed journals. Research interests include but not limited to: Mathematical modeling, numerical methods; simulation analysis, mathematical methods, computer technology and programming
Utilizing velostat sensor as a whole allow data reading without space between sensor because entire object test is adhere to the sensor and allow sensor to read data with small or massive scale project. Measurement the voltage of the edge sensor made the applicatication of electrical impedance tomography seem reliable. Velostatsensor have unique ability to detect conductor or isolator object test. Applying DC supply made easier to make the instrumentation and measurement. Injection technique and measurement between electrodes in electrical impedance tomography impacted the quality of image result. In this research compare several injections method and measurements to seek the best configuration in detection of object test. Voltage supply injection and current supply injection have the impact to quality of image result in electrical impedance tomography. Image result from velostat sensor compared to image result from phantom resistor as validation because the phantom resistor have the resistance values are known. The best image result produced by velostat with adjacent injection and adjacent measurement (ADAD) configuration applied current injection with signal to noise (SNR) value 47.642596 dB and standard deviation 0-85. Decent result shown by applying voltage injection with ADAD configuration with SNR 41.533373 dB and standard deviation 0-85.
Will update soon
A simple and non-invasive medical diagnosis for anemia defect is presented in this paper . Anemia defects is relevant to the deficiency of haemoglobin in human. This approach utilizes photographic images of human nail for the anemia defect diagnosis. This method extracts the nail region in an effective approach by appropriate color conversion, background elimination, segmentation by connected components by fixing the threshold value and finally extraction of nail region is attained. The above procedures ensure the extraction of region of interest accurately instead of cropping the nail region. Then RGB color analysis is applied for the nail region by estimating the statistical parameter of each nail. This values and haemoglobin levels of patients obtained from hospitals are compared with each other for the accuracy of the anemia defects. In this work, the haemoglobin level of patients received from the hospitals matched with the parameter values of the nail image of the person while comparing the results. Hence this method is simple, accurate, non-invasive and cost effective in diagnosing anemic status of patients in an earlier stage which is easy to achieve prevention of disease rather than cure.
M.Sundaram completed his diploma in Electronics and Communication Engineering discipline in the year 1988 and passed Section A and Section B examinations of Institution of Engineers (INDIA) in Electronics and Communication Engineering at Institution of Engineers (India), Kolkatta. He completed master degree M.E (Communication Systems) in the year 2002 form Mepco Schlenk Engineering College, Madurai Kamaraj University, Tamil Nadu, India. He received (2012) doctoral degree (Ph.D) in the domain of Information and Communication Engineering in Anna University,Chennai-25,India. He is in the field of teaching and research in Electronics and Communication Engineering in polytechnic colleges and Engineering Colleges in Tamilnadu, India, from 1989 onwards in various ranks as Lecturer, Asst. Professor, Professor, HOD and Principal. His area of interest is Medical image enhancement , edge detection and segmentation for disease diagnosis, pattern recognition, VLSI Design, Food quality and adulteration analysis using microwave testing and Image processing. His student project was financially supported by Tamilnadu state council for Science and Technology (TNSCST) and was ranked first in the state level competition in the year 2006. He has undertaken a project in Medical Diagnosis using Thermogram as co-investigator which is funded by Indira Gandhi Centre for Atomic Research (IGCAR-, under Govt. of India), Chennai. He is a recognised supervisor for Ph.D research scholars in Anna University, Chennai and currently guiding 8 Ph.D scholars. He is a life member in Institution of Engineer (INDIA) and Indian Society for Technical Education (ISTE) and member in Institute of Electronics and Telecommunication Engineers(IETE).He has attended more than 50 seminars and workshops and organized many seminar , workshops and national / int. national conferences. He has also presented his paper in Dalian University of Technology, Peoples Republic of China during the year 2009. He has published 7 international SCI journals and more than 15 international conference publications.