Middle East Journal of Applied Science & Technology (MEJAST) is the dominant journal for publishing innovative research ideas in arts, science, medicine, law, engineering and technology domains with relevant applications. MEJAST welcomes full papers, communications, technical notes, critical and tutorial review articles, editorials, and comments, in addition to the literature reviews that are prepared by an expert panel. This includes, but is not restricted to, the most recent progress, developments and achievements in all the below mentioned domains.
Submissions are welcome in the following areas, but note this list reflects the current scope and authors are strongly encouraged to contact the editorial team if they believe that their work offers potentially new and emerging research relevant to the journal scope and coverage & not strictly limited within: Aerodynamics, Automation Systems, Biology, Biomedical Engineering, Botany, Chemistry, Communication Systems, Computer Science, Conventional Energy, Data Communication, Dentistry, Economics, Education, Electromagnetics, Embedded Systems, Engineering Domains, Finance, Food & Nutrition, Geology, Green Computing, Grid Computing, High Speed Networks, Image Processing, Management, Mathematics, Mechanics, Meteorology, Microbiology, Mobile Computing, Nano Robotics, Nursing, Operating Systems, Optical Communication, Physics, Physiotheraphy, Political Science, Power Systems, Psychology, Red Taction, Sensor Networks, Sociology, Sensor Networks, Thermodynamics, Veterinary Medicine, Video Signal Processing, VLSI Design, Wireless Communication.
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Udhayakumar C, Ashik S, Bala Subramaniyan S, Dharanishan K & Ganeshraja A
Page No. 01-08
Abstract: IoT and machine learning (ML) are becoming increasingly efficient in the medical and telemedicine areas all around the world. This article describes a system that employs latest technology to give a more accurate method of forecasting disease. This technology uses sensors to collect data from the body of the patient. The obtained sensor information is collected with NodeMcU before being transferred to the Cloud Platform "ThinkSpeak" through an ESP8266 Wi-Fi module. ThinkSpeak is a cloud server that provides real-time data streams in the cloud. For the best results, data currently saved in the cloud is evaluated by one of the machine learning algorithms, the KNN algorithm. Based on the findings of the analysis and compared with the data sets, the disease is predicted and a prescription for the relevant disease is issued.
M. Mohankumar, S. Akilan, B. Hariprasath, R. Ariprasath & S. Dhanu Dharsan
Page No. 09-16
Abstract: The usage of a fused image and compressed model in a VLSI implementation is demonstrated. In this study, distortion correction is also considered. In distortion correction models, least-squares estimate is utilized. The technique of picture fusion is widely employed in medical imaging. Many pictures are obtained from various sensors (or) multiple images are captured at different times by one sensor in the image fusion approach. CT scans give useful information on denser tissue with the least amount of distortion. The information obtained from a magnetic resonance imaging (MRI) of soft tissue with significant distortion is useful. The DWT-based image fusion approach employs discrete wavelet transforms, a novel multi-resolution analytic tool. Back mapping expansion polynomial is used to reduce computer complexity. Using 0.18um technology, the suggested VLSI design achieves 218MHz with 1480 logical components.
Zhenhai Cui, Tingrui Huang, Chen Huang, Wenhai Zhao, Jianming Chen & Dezhi Tang
Page No. 17-26
Abstract: Myogenic differentiation requires to be exactly explored for the effective treatment of fracture. The speed of healing is affected by skeletal muscle, linked to activation of specific myogenic transcription factors during the repair process. In previous study, we discovered that psoralen enhanced differentiation of osteoblast in primary mouse. In the current study, we show that psoralen stimulates myogenic differentiation through the secretion of factors to hone the quality of repair in fractured mice. 3-month old mice were treated with corn oil or psoralen followed by a tibial fracture surgery. Fractures were tested 7, 14, and 21 days respectively later by histology and images observation. Skeletal muscles including soleus muscle and posterior tibial muscle around the damaged bone were collected for quantitative real-time PCR, HE staining, as well as western blot. Daily treatment with psoralen at seven, fourteen days or twenty-one days improves protein or mRNA levels responsible for the whole myogenic differentiation process, makes the muscle fibers more tightly aligned, and promotes callus formation and development. This data shows that high levels of myogenic transcription factors in the process of fracture healing in mice foster the repair of damaged muscles, and indicates a pharmacological approach that targets myogenic differentiation to improve fracture repair. This also reflects the academic thought of "paying equal attention to both muscles and bones" in the prevention and treatment of fracture healing.
Prof. Dr. Idress Hamad Attitalla
Faculty of Medical Technology (Dean), Omar Al-Mukhtar University, Libya.
Dr. Parichat Phumkhachorn
Faculty of Science, Ubon Ratchathani
Dr. Stefano Farne'
Department of EC & BE,
University of Pavia, Italy.
Dr. Ayman Elshenawy Elsefy
Systems and Computers Engg. Department,
AL Azhar University, Egypt.
Prof. Dr. Tamaz CHELIDZE
Ivane Javakhishvili Tbilisi State
Dr. M.V. Raghavendra Rao
Apollo Institute of Medical Sciences Education
and Research, HYD, India.
Dr. Kausalyah Venkatason
College of Engineering,
Universiti Teknologi MARA, Malaysia.
Dr. Narushan Pillay
University of KwaZulu-Natal,
Durban, South Africa.
Dr. Abba P. Obouayeba
Jean Lorougnon Guédé University (Daloa, Côte
d’Ivoire), Haut-Sassandra, Ivory Coast.
Dr. Philippe E. Mounmbegna
Professor of Biochemistry, Madonna
University, Rivers State, Nigeria.
Dr. Anil Lamba
Practice Head–Cyber Security,
EXL Service Inc., NJ, USA.
Dr. Kamal Shayegh
Department of Foreign languages,
Bilim Evi Organizing Ltd., Ankara, Turkey.
Dr. Peter Ogbuna Offor
Metallurgical & Materials Engg. Department,
University of Nigeria, Nsukka, Nigeria.
Dr. Amando P. Singun, Jr.
Department of Information Technology,
Higher College of Tech., Muscat, Sult. of Oman.
Dr. S. Karpagaselvi
School of Electrical and Computer Engineering,
Ethiopian Inst. of Tech. - Mekelle, Ethiopia.