Volume 10 | Issue 2 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Antibiotic, Antibiotic resistance, Bactericidal Penicillin

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Compliance with COVID-19 preventive measure is a double edge sword cutting through the fabric of the everyday life of the Nigerian citizen and the university community to be precise. it is considered that the viral respiratory infections spread by direct contacts, such as touching an infected person or the surfaces that the person has either touched, on which large virus-containing droplets expired by the person lands and there the virus can remain stable for days. The disease is also believed to be spread across a short distance by air. The clinical manifestation of COVID-19 is a dry cough, fever, and tiredness. Other symptoms which may manifest in patients include headache, aches, pains, nasal congestion, sore throat, conjunctivitis, diarrhea, loss of taste or smell or discoloration of fingers or toes. It is important to note that there is a lot of false knowledge and misconceptions about the disease in Africa and Nigeria. These misconceptions affect the degree of compliance to the stipulated preventive measures and also exact an indirect effect of the disease on our community. Compliance with the preventive measure while aides in mitigating the spread of the virus also affect other aspects of our community and our ecosystem by extension. Some of the preventive measures are constant washing of hands, use of face mask, social distance, and self-isolation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Compliance, preventive measures, undergraduate students and COVID-19

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Hadith, Luminous, Gloomy, Ruined, Prohibition, Tafsir, Fiqah, Rhetoric.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the present study, Copper doped Cobalt Oxide (CuCo2O4) nanoparticles were successfully biosynthesized using aqueous leaf extracts of Eclipta Alba and characterized using various techniques such as UV-visible spectrophotometry, Fourier transform infrared spectrometry (FTIR) and Scanning electron microscopy (SEM) coupled with Energy dispersive X-Ray (EDX) and X-Ray Diffraction (XRD). The spectroscopic method confirmed that the formation of CuCo2O4 nanoparticles and the microscopic technique confirms the morphology of the nanoparticles. Antibacterial property of the synthesized nanoparticles was measured by disc diffusion method. The Optical absorption spectrum shows the optical properties of the nanoparticles. To analyse the behaviour of molecular interaction in the nanofluid the ultrasonic velocity, density and viscosity were calculated using Ultrasonic interferometer. From which the thermodynamical parameters like adiabatic compressibility, free length and acoustic impedance were computed.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Eclipta Alba, Antibacterial activity, Molecular Interaction, Thermodynamic Parameters, Ultrasonic technique

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Supply chain management (SCM) architectures require high security & high quality of service (QoS) in order to effectively track &record product-related information. A wide variety of SCM models are proposed by researchers to perform this task. These models use encryption standards like elliptic curve cryptography (ECC), hashing, key-exchange mechanisms, etc. in order to improve system security. Due to which quality of service (QoS) parameters like retrieval delay, throughput, and energy efficiency are reduced. To maintain a good level of QoS, various machine learning optimizations are also proposed by researchers. It is observed that blockchain-based models are capable of achieving both these constraints for small to medium scale SCM architectures. This is due to their immutability, traceability, transparency, and distributed computing capabilities. Due to immutability, entries stored on the chain cannot be modified, thus all SCM transactions are tamper proof. While, due to distributed computing, the model is capable of adding blocks from different entities. Thus, making blockchains a suitable choice for a wide variety of SCM application deployments.But as length of blockchain increases, this performance is exponentially reduced, which limits scalability of blockchain-based SCM architectures. To improve this scalability, a novel delay-aware sidechaining model is proposed in this text. The proposed model is capable of scaling existing blockchain SCM architectures and create delay-aware sidechains which are aggregated using a Genetic Algorithm (GA) approach. The proposed model was tested on a wide variety of SCM deployments, and an average delay reduction of 23% was observed when compared with single blockchain-based implementations. Furthermore, the computational complexity was also observed to be 15% lower when compared with single blockchain, which makes the proposed SCM model highly scalable. The reduction in computational complexity is due to reduced reading & verification delays, which reduces hash evaluation effort, thereby improving overall SCM performance for various deployment scenarios.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain, SCM, blockchain, sidechain, delay-aware, Genetic Algorithm

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In my research paper I had basically shown the importance of Software Engineering and why the principles of software engineering is important in order to develop a successful software product.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Feasibility Analysis , Technical Feasibility , Adaptability and many more.

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Creative Commons Attribution 4.0 and The Open Definition

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CT scan analysis is becoming increasingly important in the diagnosis and treatment of abdominal organs. Automatic organ segmentation of abdominal CT scans can help radiologists analyze scans faster and more accurately diagnose disease and injury. However, existing methods are insufficiently efficient for segmenting victims of accidents and emergency situations. We propose an efficient liver segmentation using our HFCNN (Hybridized Fully Conventional Neural Network) and a public data set (3DIRCADB) in this paper. As a result, we segment a target liver with a Dice score of 97.22 percent.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Liver Segmentation, deep learning, CT image segmentation, Wiener, HFCNN.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Memoirs, Conflict, Motif, Climax, Funeral and Emotional

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agriculture, Rural Development, Credit, Performance, Long-term

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Encryption; Steganography; LSB; Security; Histogram; password verification.

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Creative Commons Attribution 4.0 and The Open Definition