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Nutritional Values and Effects of Selected Solvents on the Phytochemical Properties of Moringa Oleifera Leaves Obtained from Sokoto, Nigeria

Nutritional Values and Effects of Selected Solvents on the P...

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2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

作者： Jamiu, Aasia Muhammed Gumi, Ahmad Salma Alabi, Dorcas Toyin Ahmed-Umar, Fatimah Habib, Nabila Muhammed Adebayo-Gege, Grace I Victoria, Adegunloye Deke Obianuju, Ojikah Kolawole, Muftaudeen Taoheed Abimbola, Ogundolie Frank Baze University Faculty of Computing and Applied Sciences Abuja Nigeria Baze University College of Medicine and Health Sciences Abuja Nigeria Federal University of Technology Department of Microbiology Akure Nigeria

ISBN: (纸本)9798350358155

Moringa Oliefera (M. oleifera) contains high amounts of antioxidants and phytochemicals which have been explored for their therapeutic effects. Solvents used in extraction have been noted to influence the availability of specific phytochemicals. In this study, the nutritional values of M. oleifera and effects of extracting solvents namely;ethanol, n-hexane, ethyl-acetate, and aqueous solution on the phytochemical constituents of *** leaves from Sokoto were investigated. M. oleifera leaves were obtained from Sokoto, Nigeria and dried. The Proximate and trace metal analysis were carried out by use of Atomic absorption spectrophotometer (AAS). *** sample was extracted by soxhlet extractor using the different solvents, and then concentrated. Concentrated compounds were further analyzed by GC-MS. Proximate analysis of the leaves yielded crucial nutritional values which includes, crude protein (13.31%),crude lipid (14.01%), and dietary fibre (6.37%). Furthermore, sodium and magnesium concentrations were notably elevated, with magnesium reaching 15.1 mg/l. Ethanol and aqueous extracts yielded positive results for flavonoids, carbohydrates, phenols, tannins, cardiac glucosides, and alkaloids. Conversely, n-hexane exhibited negative effects on these compounds, while ethyl-acetate demonstrated mixed outcomes.. The GC-MS analysis of the extracts showed the presence of 2-Heptanol, 6-meth 1,2-Benzenedicarboxylic acid, Phthalic acid, cyclobutyl-heptyl ester, Diethyl-Phthalate, ethylisopropyl ester, Trimethyl(4-tert.-butyl-phenoxy)silane, and 2,4,6-Cycloheptatrien-1-one. The findings from this work suggested that *** leaves possess important nutritional values ,and using solvents such as ethanol and aqueous solution to extract the bioactive compounds presents a rich reservoir of such compounds (especially cardiac glycosides) which could be used as therapeutics in management of cardiovascular disorders. © 2024 IEEE.

关键词： Ethanol

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Characterizations of Weighted Besov Spaces with Variable Exponents

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Acta Mathematica Sinica,English Series 2024年第11期40卷 2855-2878页

作者： Sheng Rong WANG Peng Fei GUO Jing Shi XU School of Mathematics and Statistics Hainan Normal UniversityHaikou571158P.R.China Center for Applied Mathematics of Guangxi Guangxi Colleges and Universities Key Laboratory of Data Analysis and ComputationSchool of Mathematics and Computing ScienceGuilin University of Electronic TechnologyGuilin541004P.R.China

In this paper,we first give characterizations of weighted Besov spaces with variable exponents via Peetre’s maximal *** we obtain decomposition characterizations of these spaces by atom,molecule and *** an applicatio... 详细信息

关键词： Besov space Muckenhoupt weight variable exponent Peetre’s maximal function atom molecule wavelet pseudo-differential operator

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An Adaptive on Demand Modified Ant Colony Optimization Routing for VANETs 23th

An Adaptive on Demand Modified Ant Colony Optimization Routi...

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23rd International Conference on Intelligent Systems Design and Applications, ISDA 2023

作者： Kumari, J. Jesy Janet Thangam, S. Raja, A. Saleem Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India Department of Computer Science and Engineering University of Technology and Applied Science-Shinas Shinas Oman

ISBN: (纸本)9783031648496

Around the world, vehicle accidents claim many priceless lives. To tackle this problem, the Vehicular ad hoc networks (VANETs) are the most effective solution. Effective communication between vehicular nodes in VANETs is extremely important because of the rapid mobility of vehicles and different network topology. Currently, VANET mostly serves the public security, stability, information for voyageurs, and traffic Management, control of congestion, guidance, etc. Chaos on roadways can occur at any moment, anyplace. It is a situation in which the flow of traffic regulations might cease to function. Collisions, maintaining roads, violation of legal rules, etc., so to evade the congestion in the surrounding region. VANETs represent a dynamic and challenging communication environment characterized by high mobility, intermittent connectivity, and rapid changes in network topology. Efficient and reliable routing is crucial for enabling diverse applications such as traffic management, safety communication, and infotainment services in VANETs. In this research, propose a multi-faceted approach to improve routing performance in VANETs. An adaptive routing algorithm that considers vehicle mobility patterns and dynamically adjusts communication routes based on the anticipated movement of neighboring vehicles such as Modified Ant Colony Optimization (MACO) technique. This adaptability enhances the robustness of the network against frequent topology changes and improves the overall packet delivery ratio, end-to-end delay, and network reliability compared to traditional routing protocols. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Vehicular ad hoc networks

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Exploring the Role of Internet of Things in Wireless Sensor Networks for Industry 4.0 Applications 1

Exploring the Role of Internet of Things in Wireless Sensor ...

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1st International Conference on Pioneering Developments in Computer Science and Digital Technologies, IC2SDT 2024

作者： Palarimath, Suresh Maran, Pyingkodi N.r, Wilfred Blessing Sujatha, T. Renuga, S. R.s, Chithra College of Computing and Information Sciences University of Technology and Applied Sciences Salalah Oman Kongu Engineering College Department of Computer Application Erode India College of Computing and Information Sciences University of Technology and Applied Sciences Ibri Oman Sri Krishna College of Engineering and Technology Department of Artificial Intelligence and Data Science Coimbatore India Panimalar Engineering College Department of Artificial Intelligence and Data Science Chennai India Ponjesly College of Engineering Department of Computer Science and Engineering Kanyakumari India

ISBN: (纸本)9798350365016

Recent developments in computer networking have made it possible to access information from a faraway location via either wireless or wired networks. The recent advancements in wireless infrastructure are directly responsible for the advent of wireless sensor networks, often known as WSNs. These networks make it easier to keep track of environmental happenings and activities, as well as document them and manage them. In WSNs, data relaying is accomplished through the use of a variety of routing strategies. Industry 4.0, also known as the fourth industrial revolution, is characterized by the incorporation of highly developed physical automation systems. These systems are made up of several pieces of machinery and gadgets that are linked together by sensors and are operated by software. The goal of the fourth industrial revolution is to improve the effectiveness and dependability of business processes. The Internet of Things (IoT) can be leveraged in manufacturing, which gives a means of linking engines, power grids, and sensors to the cloud in an industrial context. This is accomplished through the use of Industrial IoT. The purpose of this paper is to gain an understanding of how the Internet of Things functions in wireless sensor networks and its possible applications in a variety of settings. © 2024 IEEE.

关键词： Wireless sensor networks

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Learning EEG synchronization patterns for epileptic seizure prediction using bag-of-wave features

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Journal of Ambient Intelligence and Humanized computing 2023年第11期14卷 15557-15572页

作者： Cui, Song Duan, Lijuan Qiao, Yuanhua Xiao, Ying Faculty of Information Technology Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Trusted Computing National Engineering Laboratory for Critical Technologies of Information Security Classified Protection Beijing100124 China College of Applied Sciences Beijing University of Technology Beijing100124 China

Epileptic seizure prediction has the potential to promote epilepsy care and treatment. However, the seizure prediction accuracy does not satisfy the application requirements. In this paper, a novel framework for seizure prediction is proposed by learning synchronization patterns. For better representation, bag-of-wave (BoWav) feature extraction is proposed for modeling synchronization pattern of electroencephalogram (EEG) signal. An interictal codebook and preictal codebook, representing the local segments, are constructed by a clustering algorithm. Within a period of EEG signal on all electrodes, local segments are projected onto the learned codebooks. The proposed feature expresses the synchronization pattern of EEG signal with the histogram feature. Moreover, extreme learning machine (ELM) is used to classify the sequence of features. Experiments are performed on the Kaggle seizure prediction challenge dataset and the CHB-MIT dataset. The experiment on the CHB-MIT achieves a sensitivity of 88.24% and a false prediction rate per hour of 0.25. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Feature extraction

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Toward Anomaly Detection in the Blockchain Using Numerical Association Rule Mining 21

Toward Anomaly Detection in the Blockchain Using Numerical A...

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21st IEEE International Symposium on Intelligent Systems and Informatics, SISY 2023

作者： Kramberger, Renata Fister, Iztok Kamisalic, Aida Zagreb University of Applied Sciences Department of Information Technology and Computing Zagreb Croatia University of Maribor Faculty of Electrical Engineering and Computer Science Maribor Slovenia

ISBN: (纸本)9798350343366

With the global increase in the popularity of cryptocurrencies, the need for anomaly detection and fraudulent behavior is reaching an all-Time high. In our paper, we propose a novel method of anomaly detection with the use of Numerical Association Rule Mining with Differential Evolution. The experiment was conducted by using the Dogecoin blockhain, and the dataset contained all of the transactions from one month. Our results contained 303 rules, with the best fitness function value of 0.8. © 2023 IEEE.

关键词： Association rules

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Blockchain-based Secure Health Records in the Healthcare Industry 7

Blockchain-based Secure Health Records in the Healthcare Ind...

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7th International Conference on Trends in Electronics and Informatics, ICOEI 2023

作者： Quasim, Mohammad Tabrez Mobarak, Mohammad Mufareh Nisa, Khair Ul Meraj, Mohammad Khan, Mohammad Zunnun College of Computing and Information Technology University of Bisha Bisha67714 Saudi Arabia College of Applied Computer Science King Saud University Saudi Arabia

ISBN: (纸本)9798350397284

Global healthcare systems are going through substantial changes in access, data processing, monitoring, and healthcare. By 2020, it's anticipated that connected and data-capturing equipment will have produced around 2314 exabytes of healthcare data. Cybercriminals work very hard to get access to medical information. Due to this challenge, the market for cybersecurity is predicted to reach $27.1 billion in 2026. To collect data for clinical research, a central repository will be formed with blockchain technology. This article proposes a secure mechanism utilizing Blockchain to guarantee the security of electronic health records (EHR). Databases, the Internet of Things, sensors, and other computing resources are part of the architecture. In comparison to the conventional healthcare system, the security and privacy of EHR will be improved by this framework for security © 2023 IEEE.

关键词： Blockchain

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Physics-informed neural networks with residual/gradient-based adaptive sampling methods for solving partial differential equations with sharp solutions

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applied Mathematics and Mechanics(English Edition) 2023年第7期44卷 1069-1084页

作者： Zhiping MAO Xuhui MENG School of Mathematical Sciences Fujian Provincial Key Laboratory of Mathematical Modeling and High-Performance Scientific ComputingXiamen UniversityXiamen 361005Fujian ProvinceChina Institute of Interdisciplinary Research for Mathematics and Applied Science School of Mathematics and StatisticsHuazhong University of Science and TechnologyWuhan 430074China

We consider solving the forward and inverse partial differential equations(PDEs)which have sharp solutions with physics-informed neural networks(PINNs)in this *** particular,to better capture the sharpness of the solution,we propose the adaptive sampling methods(ASMs)based on the residual and the gradient of the *** first present a residual only-based ASM denoted by ASMⅠ.In this approach,we first train the neural network using a small number of residual points and divide the computational domain into a certain number of sub-domains,then we add new residual points in the sub-domain which has the largest mean absolute value of the residual,and those points which have the largest absolute values of the residual in this sub-domain as new residual *** further develop a second type of ASM(denoted by ASMⅡ)based on both the residual and the gradient of the solution due to the fact that only the residual may not be able to efficiently capture the sharpness of the *** procedure of ASMⅡis almost the same as that of ASMⅠ,and we add new residual points which have not only large residuals but also large *** demonstrate the effectiveness of the present methods,we use both ASMⅠand ASMⅡto solve a number of PDEs,including the Burger equation,the compressible Euler equation,the Poisson equation over an Lshape domain as well as the high-dimensional Poisson *** has been shown from the numerical results that the sharp solutions can be well approximated by using either ASMⅠor ASMⅡ,and both methods deliver much more accurate solutions than the original PINNs with the same number of residual ***,the ASMⅡalgorithm has better performance in terms of accuracy,efficiency,and stability compared with the ASMⅠ*** means that the gradient of the solution improves the stability and efficiency of the adaptive sampling procedure as well as the accuracy of the ***,we also employ the similar adaptive sampling technique fo

关键词： physics-informed neural network(PINN) adaptive sampling high-dimension L-shape Poisson equation accuracy

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Security Analysis of DNP3 Protocol in SCADA System 13

Security Analysis of DNP3 Protocol in SCADA System

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13th IEEE International Conference on Control System, computing and Engineering, ICCSCE 2023

作者： Qassim, Qais Saif Ali, Musab A. M. Tahir, Nooritawati Md University of Technology and Applied Sciences-Ibri College of Computing and Information Sciences Department of It Ibri Oman College of Engineering Malaysia Universiti Teknologi Mara Malaysia

ISBN: (纸本)9798350323184

The safeguarding of Supervisory Control and Data Acquisition (SCADA) systems and their cyber-security have been the subject of extensive research for many years, owing to the severe ramifications that can result from their breach or compromise. SCADA is a system that facilitates the monitoring and control of physical infrastructures in industrial processes from a centralized control station. The utilization of this technology is prevalent in crucial infrastructure domains, such as the electricity, oil, and gas industries, encompassing production and distribution. The compromise of data integrity in SCADA systems through cyber-attacks, specifically the unauthorized manipulation of sensors or control signals, has the potential to disrupt the operation of critical national infrastructure significantly. Therefore, this research is intended to investigate the limitations and drawbacks of one of the commonly used communication protocols in SCADA, namely;DNP3, investigate the cyber-attacks exploiting the weaknesses of this protocol, and put forward a recommendation to protect the SCADA networks and prevent devastating consequences. © 2023 IEEE.

关键词： SCADA systems

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Web service location-allocation using discrete NSGA-II with matrix based genetic operations and a repair mechanism

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Journal of Ambient Intelligence and Humanized computing 2023年第10期14卷 14163-14187页

作者： Verma, Shanu Pant, Millie Snasel, Vaclav Department of Applied Mathematics and Scientific Computing Indian Institute of Technology Roorkee Roorkee247667 India Centre for Artificial Intelligence and Data Science Indian Institute of Technology Roorkee Roorkee247667 India Department of Computer Science VSB-Technical University of Ostrava Ostrava70800 Czech Republic

Web Service Location-Allocation Problem (WSLAP) is an important and challenging NP-hard combinatorial optimization problem where multiple objectives affecting the quality of service (QoS) are to be optimized simultaneously. Most of the existing research articles mainly focus on selecting web service locations that minimize two QoS: total cost and total response time. However, another QoS factor throughput also needs attention when selecting sites for allocating web services. Therefore, we have constructed a new WSLAP model that minimizes the total cost and the total negative quality factor. This negative quality factor considers throughput along with latency to strengthen the QoS of the located web services. Further, three NSGA-II variants, NSGA-II.V1, NSGA-II.V2, and NSGA-II.V3, with a novel matrix-based chromosome representation, are developed to deal with the proposed bi-objective WSLAP model. These algorithms involve matrix-based genetic operations for better exploration and a repair mechanism for tackling infeasibility. The proposed model and algorithms are validated on 24 test instances, out of which 14 are existing, and 10 are newly created with increased web services, user centres and service locations. The experimental results claim that the proposed WSLAP model succeeded in improving the throughput with a comparatively lower total cost. Further, the proposed algorithms outperformed the compared algorithms in terms of hypervolume, inverted generational distance and computational time on 89% of instances. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Quality of service

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