Probabilistic Durability Analysis of Reinforced Concrete Members with Corroded Reinforcing Steel

The reliability of the structural performance of any given structure is affected by both in-service loading and material deterioration due to environmental attack. In this paper, probabilistic assessment of reinforced concrete members exposed to chlorine ingress was undertaken. A simply supported reinforced concrete slab was specifically used for the investigation. The mathematical models of capacity loss of reinforcing steel under corrosion, developed elsewhere, were incorporated in the analysis. The uncertainties in structural resistance and the applied loading were fully accommodated using probabilistic method. Limit state function for the flexural capacity of the slab was developed and evaluated using first order reliability method (FORM). The entire process was implemented through a developed program using MATLAB

An Empirical Investigation into the Effect of Global Oil Price on Nigeria Gross Domestic Product from (2000-2019)

Nigeria is one of the largest oil producing countries in the world, its revenue is largely dependent on crude oil sales. The country vulnerability to crude oil price fluctuations is a phenomenon that has been a reoccurring event Thus; this study aims to examine the impact of Global crude oil prices on Nigeria gross domestic product (GDP) and the economy at large. The study relied deeply on secondary data obtained from the Central bank of Nigeria (CBN). The data were subjected to simple regression analysis, Pearson Product Moment Correlation to determine the effect and relationship between oil price (Independent Variable) and Nigeria GDP (dependent variables). And time series analysis was also used to examine the trend in the data set and fit a more parsimonious model that would aid forecasting of future crude oil price and GDP. The study found that Global crude oil price have a significant correlation with Nigeria gross domestic product, %58.1 of variation in Nigeria gross domestic product is attributed to fluctuation in Global crude oil price and Nigeria GDP will increase by ₦4.21bn per unit increase in crude oil price. The study thus conclude that global crude oil price has a significant impact on Nigeria GDP and its economy at large. The study among others recommend diversification of the Nigerian economy is most imperative given the economic recession in the country now and the impending take-over of the transportation industry by electric vehicles. Keywords: Oil price, Gross domestic product, Economy, Price shock, Exchange rate, Nigeria. DOI: 10.7176/EJBM/13-4-03 Publication date: February 28th 202

The International Natural Product Sciences Taskforce (INPST) and the power of Twitter networking exemplified through #INPST hashtag analysis

Background: The development of digital technologies and the evolution of open innovation approaches have enabled the creation of diverse virtual organizations and enterprises coordinating their activities primarily online. The open innovation platform titled "International Natural Product Sciences Taskforce" (INPST) was established in 2018, to bring together in collaborative environment individuals and organizations interested in natural product scientific research, and to empower their interactions by using digital communication tools. Methods: In this work, we present a general overview of INPST activities and showcase the specific use of Twitter as a powerful networking tool that was used to host a one-week "2021 INPST Twitter Networking Event" (spanning from 31st May 2021 to 6th June 2021) based on the application of the Twitter hashtag #INPST. Results and Conclusion: The use of this hashtag during the networking event period was analyzed with Symplur Signals (https://www.symplur.com/), revealing a total of 6,036 tweets, shared by 686 users, which generated a total of 65,004,773 impressions (views of the respective tweets). This networking event's achieved high visibility and participation rate showcases a convincing example of how this social media platform can be used as a highly effective tool to host virtual Twitter-based international biomedical research events

Quality Parameters of Some Selected Potable Packaged Water in Minna, Nigeria

This study was conducted on sachet water samples mostly consumed in Minna Nigeria.  Six types of sachet water samples were collected (A, B, C, D, E and F) and the six were randomly selected from the numerous sachet water factory in Minna. The purpose of this study was to determine the quality of sachet water used as  drinking water and domestic purpose by looking into the microbiological aspect and several physicochemical analyses such as turbidity, pH and  total suspended solid (TSS). The microbiological analyses were performed to trace the presence of indicator organisms and pathogens such as Escherichia coli and total coliform count. However, the total coliforms and E. coli were detected to range between 0 and 43 cfu/100mL while the E. coli ranged between 0.00 and 7.00 cfu/100mL. The pH value was slightly alkaline (pH >6.5) but below 9.5 which within the recommended standards.  The TSS for the samples ranged between 45 and 190 mg/L which were very low compared with the recommended values and the turbidity for all the samples were recorded below 2 Nephelometric Turbidity Units (NTU) thus, complying with the regulations.  All the water samples were fit to be consumed except those with high values of E. coli and total coliform count. Keywords: Drinking water, filters, microbiology, physicochemical, quality, sachet wate

IoT and ICT based Smart Water Management, Monitoring and Controlling System: A Review

Water is a basic human need in all economic operations. Farmland, renewable energy, the industrial industry, and mining are all critical economic areas. Water supplies are under severe strain. With the population increase, the requirement for water from competing economic sectors is increased. So, there is not enough water left to meet human needs and maintain environmental flows that maintain the integrity of our ecosystems. Underground water is becoming depleted in many sectors, making now and future generations near the point of being deprived of protection from the increasing climate variability. Therefore, the critical role that information technology methods and internet communication technologies (ICT) play in water resources managing to limit the excessive waste of fresh water and to control and monitor water pollution. In this paper, we have to review research that uses the internet of things (IoT) as a communication technology that controls the preservation of the available amount of water and not wastes it by homeowners and farmers. In contrast, they use water, and we have also reviewed some researches that preserve water quality and reduce its pollution

A Comprehensive Study of Kernel (Issues and Concepts) in Different Operating Systems

Various operating systems (OS) with numerous functions and features have appeared over time. As a result, they know how each OS has been implemented guides users' decisions on configuring the OS on their machines. Consequently, a comparative study of different operating systems is needed to provide specifics on the same and variance in novel types of OS to address their flaws. This paper's center of attention is the visual operating system based on the OS features and their limitations and strengths by contrasting iOS, Android, Mac, Windows, and Linux operating systems. Linux, Android, and Windows 10 are more stable, more compatible, and more reliable operating systems. Linux, Android, and Windows are popular enough to become user-friendly, unlike other OSs, and make more application programs. The firewalls in Mac OS X and Windows 10 are built-in. The most popular platforms are Android and Windows, specifically the novelist versions. It is because they are low-cost, dependable, compatible, safe, and easy to use. Furthermore, modern developments in issues resulting from the advent of emerging technology and the growth of the cell phone introduced many features such as high-speed processors, massive memory, multitasking, high-resolution displays, functional telecommunication hardware, and so on

Comparison of Software Defined Networking with Traditional Networking

The Internet has caused the advent of a digital society; wherein almost everything is connected and available from any place. Thus, regardless of their extensive adoption, traditional IP networks are yet complicated and arduous to operate. Therefore, there is difficulty in configuring the network in line with the predefined procedures and responding to the load modifications and faults through network reconfiguring. The current networks are likewise vertically incorporated to make matters far more complicated: the control and data planes are bundled collectively. Software-Defined Networking (SDN) is an emerging concept which aims to change this situation by breaking vertical incorporation, promoting the logical centralization of the network control, separating the network control logic from the basic switches and routers, and enabling the network programming. The segregation of concerns identified between the policies concept of network, their implementation in hardware switching and data forwarding is essential to the flexibility required: SDN makes it less complicated and facilitates to make and introduce new concepts in networking through breaking the issue of the network control into tractable parts, simplifies the network management and facilitate the development of the network. In this paper, the SDN is reviewed; it introduces SDN, explaining its core concepts, how it varies from traditional networking, and its architecture principles. Furthermore, we presented the crucial advantages and challenges of SDN, focusing on scalability, security, flexibility, and performance. Finally, a brief conclusion of SDN is revised

Deep Learning Approaches for Intrusion Detection

Recently, computer networks faced a big challenge, which is that various malicious attacks are growing daily. Intrusion detection is one of the leading research problems in network and computer security. This paper investigates and presents Deep Learning (DL) techniques for improving the Intrusion Detection System (IDS). Moreover, it provides a detailed comparison with evaluating performance, deep learning algorithms for detecting attacks, feature learning, and datasets used to identify the advantages of employing in enhancing network intrusion detection

The International Natural Product Sciences Taskforce (INPST) and the power of Twitter networking exemplified through #INPST hashtag analysis

International audienceBackground: The development of digital technologies and the evolution of open innovation approaches have enabled the creation of diverse virtual organizations and enterprises coordinating their activities primarily online. The open innovation platform titled "International Natural Product Sciences Taskforce" (INPST) was established in 2018, to bring together in collaborative environment individuals and organizations interested in natural product scientific research, and to empower their interactions by using digital communication tools. Methods: In this work, we present a general overview of INPST activities and showcase the specific use of Twitter as a powerful networking tool that was used to host a one-week "2021 INPST Twitter Networking Event" (spanning from 31st May 2021 to 6th June 2021) based on the application of the Twitter hashtag #INPST. Results and Conclusion: The use of this hashtag during the networking event period was analyzed with Symplur Signals (https://www.symplur.com/), revealing a total of 6,036 tweets, shared by 686 users, which generated a total of 65,004,773 impressions (views of the respective tweets). This networking event's achieved high visibility and participation rate showcases a convincing example of how this social media platform can be used as a highly effective tool to host virtual Twitter-based international biomedical research events