Volume 3, Issue 1 (2021)
Prof. John Kinuthia, Director, Advanced Materials Testing Centre (AMTeC), School of Engineering, University of South Wales, United Kingdom.
Over a relatively short period, the BAU Journal of Science and Technology has evolved to become a captivating multi-disciplinary platform for in depth engagement and exchange of research that has relevance at regional, national, and international levels. The presentation of science and technology, including civil, structural, and geotechnical engineering has been augmented by other relevant numerical and experimental research, providing a wide range of stakeholder research interests. The current volume comprising of 10 research papers has maintained this tradition and standard.
The papers may be divided into three main categories. In the first category, the papers address large data training and testing. Paper ID 1014 looks at Arabic word classification and embedding in training and testing. On the other hand, paper ID 1027 looks at the application of artificial intelligence in the development of smart building energy models. Highly mathematical theories and modelling are presented in two papers, ranging from Poisson-Akash and other sophisticated mathematical models relevant to medicine and business as in paper ID 1028, to interesting and unexpected applications of mathematical theories in music, theatre, and literature as in paper ID 1057.
In the second category, the papers present Lebanese interests in the built environment. Paper ID 1058 looks at the technological relevance in the use of Information Communication Technology (ICT) in the development of transport and communication. Paper ID 1064 looks at hazards in the oil and gas sectors, in enhancing the Lebanese government environmental systems. Two papers address interests in construction materials, by investigating encased composite beams (paper ID 1066) and lightweight aggregates for use in structural concrete (paper ID 1069).
The last category of papers looks at highly advanced materials systems. Paper ID 1065 looks at the inhibition of corrosion of metals – mainly aluminium, copper, and stainless steel – in biodiesel alternative fuels. Lastly, paper ID 1057 looks at the magnetic properties of Mn-Ni-ferrite phases. Ferro-fluids with such magnetic properties have advanced applications, as in cancer therapy and high-density information storage, among other sophisticated applications.
It is my sincere believe that this volume will be captivating to a wide range of research interests. Please enjoy.
Articles
NEW TYPE OF LIGHTWEIGHT AGGREGATE FOR USE IN STRUCTURAL CONCRETE
Jamal Khatib, Ali Jahami, Oussama Baalbaki, and Adel Elkordi
PHYSICAL AND MAGNETIC PROPERTIES OF NANOSIZED MN0.5NI0.5¬FE2-XPRXO4 PREPARED BY CO-PRECIPITATION METHOD
Douaa El-Said Bakeer, Khulud Habanjar, Ghassan Youness, and Mohammad Abou Ghoush
INVESTIGATION OF THE EXPERIMENTAL AND NUMERICAL FLEXURAL BEHAVIOR OF INNOVATIVE TOTALLY ENCASED COMPOSITE BEAMS
Nour Wehbi, Adnan Masri, and Oussama Baalbaki
THE INHIBITION ACTIVITY OF TERT-BUTYLHYDROQUINONE TOWARDS CORROSION OF ALUMINUM, COPPER AND STAINLESS STEEL IN BIODIESEL BLEND B20 ALTERNATIVE FUEL
Chaza Joumaa, Ibtissam Saad, and Ghassan Younes
OVERVIEW ON THE LEBANESE ENVIRONMENTAL GOVERNANCE SYSTEM: MAIN HAZARDS IN THE OIL AND GAZ SECTOR
Rami Harkous
WALKING DIAGONALLY: A SIMPLE PROOF OF COUNTABILITY OF THE SET OF ALL FINITE SUBSETS OF NATURALS
Miroslav Kures
A POISSON-AKASH INRAR(1) MODEL FOR OVER DISPERSED COUNT TIME SERIES
Emmanuel W. Okereke and Sunday N. Gideon
SMART BUILDING ENERGY MODEL USING ARTIFICIAL INTELLIGENCE
Riad El Abed and Mohamed El-Gohary
A NOVEL ARABIC CORPUS FOR TEXT CLASSIFICATION USING DEEP LEARNING AND WORD EMBEDDING
Roua A. Abou Khachfeh, Islam El Kabani, and Ziad Osman