NEGO reviwer outline

Contents 1. Fences, Definition and Purpose 2. Fence Law 3. Different Types of Fences 4. Pluses and Minuses of Different Fences 5. Field Fences a. Brush fence b. Log fence c. The Worm or Virginia Rail Fence d. The Post and Rail Fence e. Stone Fences f. Hedges 6. Garden and Dooryard Fences a. The Wattle Fence b. The Paled Fence c. The Post and Board Fence 7. Conclusion 8. Sources

Revista Diálogo Educacional, 2017

1996

2024

Mohammed Aasif Khan, 2024

The rapid evolution and widespread use of network-based technologies have ushered in a corresponding surge in cyber-attacks, necessitating more advanced security measures to safeguard against these threats. In response, this study presents a novel approach to network intrusion detection systems (NIDS) by integrating sophisticated deep learning algorithms. The primary aim is to detect and identify diverse types of attacks that infiltrate specific network segments, thereby enhancing the overall security of the network. The research methodology embarks by initializing sensor nodes within a Wireless Sensor Network (WSN), followed by a unique selection of Cluster Heads (CHs) through an innovative optimization algorithm. This strategic approach optimizes the network's security measures and ensures robust attack detection capabilities. The identified CHs serve as central points, facilitating the clustering of nodes using an advanced clustering algorithm. Each CH houses an Intrusion Detection System (IDS), which is trained using a publicly available NIDS dataset. Initially, the dataset undergoes common preprocessing steps, with subsequent extraction and validation of pertinent features. Following this, the features' dimensionality is reduced and fed into a novel deep learning-based modified classification algorithm. In real-time operations, when sensor nodes capture data, the network analyzer balances the network traffic and transmits it to the respective CHs. The IDS within the CHs then categorizes the detected attacks based on the similarity of validated features. The proposed approach emphasizes a dynamic response to real-time threats within the network, optimizing the identification and classification of potential attacks. The study concludes with experimental analyses to demonstrate the effectiveness of the developed approach. The assessment is based on various evaluation metrics, showcasing the system's performance and efficiency in detecting, categorizing, and responding to network intrusions. The effectiveness of the proposed model, leveraging advanced technologies such as deep learning, Cluster Heads, Wireless Sensor Networks, and Intrusion Detection Systems, will be a significant contribution to the evolving landscape of network security.

New Political Economy, 2024

Since policymakers and scholars coined the term in the 1930s, the NordicModel has often been considered to denote a homogeneous politicalentity in which the constituent countries are ostensibly interchangeable.As a result, seldom attention has been afforded to what fundamentallydifferentiates Denmark, Finland, Norway, and Sweden. By going beyondtraditional ‘fiscal-centric’ accounts of the Nordic model, and insteadfocusing on the role of central banks and monetary policy, we showthat each country bares far less similarities than has often beenassumed in the literature. We trace this heterogeneity back tovariegated responses to the 1970s crises of Fordist capitalism and drawon growth model theory to explain this divergent trajectory. We showhow these differences shaped how each country responded to theGlobal Financial Crisis and the COVID-19 pandemic, where a variegatedarray of monetary measures was employed to uphold their own distinctgrowth model. By accounting for the role of central banks within theNordic Model, we propose that it is better understood as a series ofmodels, drawing attention to the function of monetary policy withinthe growth models perspective in the political economy literature.

Cloud computing is the advanced tool for information technology that set aside individual or organization to make the most of the internet for patter into forceful hardware and software programs and tools. Cloud computing is turned into the banking sector new a days, because the public utilization of banking transaction is increased day by day. Cloud banking given the most reasonable money transfer with safety transactions. Time reduction also one of the main factor for the fast growth of cloud computing in banking sector. In this study cloud computing in banking has been analyzed in detailed manner with respect of the scope of cloud banking, advantages of cloud banking, disadvantages of cloud banking and comparison of cloud banking with traditional banking. Finally this study provides that there is growth of cloud banking gives many benefits at the same time limitations also. Beyond the limitations all is continuously using the cloud banking.

2008