Volume 10 | Issue 12 |

 Abstract

Summary Contagious nodular skin disease caused by contagious nodular skin disease virus is one of the major health problems affecting livestock farming in most African countries. Skin lesions are the main sources of infection; although the virus is evacuated through various body secretions and excretions, including semen. Therefore, susceptible hosts become infected with the virus primarily through mechanical means from blood-sucking arthropods, including flies, mosquitoes, and ticks. Transstadial and transovarian persistence is also possible in various tick species.After infection, the characteristic lesions of contagious nodular skin disease may burst 7 to 14 days after infection in experimental conditions, while in natural cases it takes 2 to 5 weeks. Multiple skin nodules (severe forms), sometimes involving the mucous membranes of the respiratory tract, urogenital system and other internal organs. As a result, there will be reduced milk production, miscarriages, temporary or permanent sterility, skin damage and death, further contributing to catastrophic economic losses in livestock producing countries. Therefore, large-scale vaccination combined with other appropriate control measures is the most effective way to limit the spread and economic impact of contagious nodular skin disease.This review aims to provide the latest information on the biology of lumpy skin disease virus, the mechanism of spread, and the clinical and pathological features of lumpy skin disease

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 Keywords

cattle, ELISA, lumpy skin disease, nepal, : Lumpy skin disease, cow, knopvelsiekte, Middle East. | Propolis, Alginate, Nanoparticles, Lumpy Skin Disease infection, Cattle.

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Creative Commons Attribution 4.0 and The Open Definition

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Ensemble Classifiers, Machine Learning, Fraudulent Job, Fraud Detection.

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Creative Commons Attribution 4.0 and The Open Definition

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The advancement of nanotechnology in the pharmaceutical field has led to the development of targeted drug delivery systems (TDDS). Effective drug delivery to the target site helps to reduce issues like drug toxicity and low bioavailability and makes drug release predictable. Furthermore, employing a drug delivery system to successfully target a drug molecule to a specific site necessitates a specialized drug delivery system. The discovery of one such nanosized drug delivery system called Nanosponges has proved a key step towards conquering many undesired drug effects by increasing the formulation flexibility. Nanosponges are porous structures having about a size of virus and can contain within them various hydrophilic and lipophilic drugs. These tiny sponges travel throughout the body until they encounter any previously determined spot, attach to its surface, and begin the drug discharge in a controlled and expected fashion. This review attempts to emphasize the advantages, characteristics, preparation methods, and application of nanosponges.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Targeted drug delivery systems (TDDS), porous structures, nanosponges, hydrophilic and lipophilic drugs.

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Creative Commons Attribution 4.0 and The Open Definition

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In today's world, wireless communication systems are extremely important for applications related to entertainment, business, commerce, health, and safety. The deployment of fifth generation (5G) wireless technologies is currently taking place all around the world as these systems continue to advance from one generation to the next. Beyond 5G wireless systems, which will represent the sixth generation (6G) of the evolution, are already being discussed in academia and industry. The application of artificial intelligence (AI) and machine learning (ML) to such wireless networks will be one of the primary and essential elements of 6G systems. According to our present understanding of wireless technologies up to 5G, every component and building block of a wireless system, such as the physical, network, and application layers, will involve one or more of them. The importance of ML approaches in various upcoming wireless systems, including 6G, is reviewed in this overview paper in an up- to-date manner. We specifically describe a conceptual model for 6G and demonstrate how ML approaches are used and play a part in each layer of the model. In the context of wireless communication systems, we examine some traditional and modern ML techniques, including supervised and unsupervised learning, Reinforcement Learning (RL), Deep Learning (DL), and Federated Learning (FL). In the paper's conclusion, we discuss some potential future uses and research directions for ML and AI in 6G networks.

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 Keywords

Artificial Intelligence, Machine Learning, Wireless Systems, Federated Learning, Deep Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Convolutional Neural Network has lately achieved exceptional success in the field of overall picture classification. Pretrained Convolutional Neural Networks (CNN) have recently been used to provide a far better representation of an input image. One of the top pretrained CNN networks, Inception V3 [1], is frequently utilised in deep learning as a pretrained CNN model. In this article, we suggest a deep learning model that can recognise specific birds from an input image. In order to encode the images, we also frequently use the pretrained Inception V3 model as well as pretrained CNN networks with base model. Birds are typically seen in a variety of situations and can be seen from a human perspective in a variety of sizes, shapes, and colours. Experiments will be performed utilising the entity of various dimensions, cast, and celerity to study recognition performance. We achieved a top-5 accuracy of 97.98% on our classifications.

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 Keywords

Convolutional Neural Network, Inception V3, Classification Algorithms, Deep Learning.

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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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Expatriate, Immigrant, Diasporic, Nostalgia, Imitation, Inhabitants and Displacement.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sarahunaath means the summation of all divine beings in the world. So they can be worshiped by any religion. Lord Sarahunaath is incarnation of all religions in the world. Means lord Sarahunaath was Judaism, Christianity, Islam, Bahai Faith, Hinduism, Taoism, Buddhism, Sikhism, Slavic neopaganism, Celtic, Polytheism, Heathenism (Germanic Paganism), Semitic neopaganism, Wicca, Kemitism (Egyption paganism), Hellenism (Greek paganism), Italo-Roman neopaganism religions.

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Art and Humanities

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Since the early times, Kashmir remained an economic centre owing to its great geographical significance. The establishment of Muslim rule in 1339 A.D. marked the development of commercial relations with the Central Asian region and it gave impetus to both inland and external trade of Kashmir. During fifteenth century it established trade relations with Samarkand, Kashgar, Bukhara, Khurasan and Yarkand. The Mughal occupation of Kashmir in 1586 not only created favourable conditions for the improvement of trade with Central Asia, but generally it gave a new Philip to the revival of Kashmir's trade with other neighbouring regions and also increased the Indo-Kashmir traffic. This paper is an attempt to highlight development of internal and external trade during the Mughal Period in Kashmir. Key words: Kashmir, Mughal, Import and Export, items.

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Inland and external trade in Kashmir during the Mughal period (1586-1752).

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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

Probability, Concepts, Interpreting and Rules

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Creative Commons Attribution 4.0 and The Open Definition