Shahid Hussain

Most political commentators anticipate that the ongoing quagmire in the Middle East will persist, with a common observation that Israeli lobbies significantly influence US policies, directly as well as indirectly

Abstract Lineage plasticity in advanced prostate cancer (PCa) involves a corruption of differentiation programs, often regulated by the

A man stands near a welcome sign outside the venue of the BRICS summit in Johannesburg, South Africa, August 20, 2023. /CFP

Women are the primary targets of domestic violence, as indicated by the National Commission for Human Rights report of 2020, which indicates that over 90% of women encounter such abuse at least once in their lifetime. They not only endure physical agony and psychological anguish but also risk losing their lives at the hands of male partners who enjoy societal recognition. Despite the formulation of various laws by the Federal Government and provincial authorities to combat gender-based violence, these efforts have faltered due to social, legal, and administrative deficiencies.

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please I want to know the best practices in national mapping agencies data management of different domains like photogrammetry, remote sensing, cartography, hydrography etc.

By Shahid Hussain Shahid Hussain The recent state visit of UAE President Sheikh Mohamed bin Zayed Al Nahyan to South Korea is critical

As representatives gather for the BRICS meeting in Russia, it's evident that the group's influence extends far beyond its member countries. With their combined economic might, commitment to multipolarity, and focus on addressing global challenges, BRICS nations are reshaping the contours of international relations. As the world navigates an uncertain future, BRICS offers a vision of cooperation and solidarity that transcends borders and fosters a more prosperous and harmonious world.

We are in an age where consumers pay brands not to show ads, and at the same time give access to every brand to show ads.

The reliable operation of power systems is essential to prevent over-voltages, excessive currents, outages, and equipment damage, which can pose risks to users and lead to interruptions in the power supply. To address these challenges, a robust power safety system is required to swiftly identify, categorize, and pinpoint faults, ultimately reducing their impact. This paper presents a comprehensive approach for locating, classifying, and detecting faults within power systems. The primary objectives of this paper are to accurately identify and categorize different fault types occurring at various resistance levels and locations, gain insights into the causes of interruptions, expedite power restoration, and minimize recurrence. Additionally, this research aims to enhance understanding of the components of the protection system, enabling the implementation of preventive measures to reduce the likelihood of service interruptions and equipment damage. To achieve precise problem identification, classification, and fault localization, the proposed approach employs simple neural networks and efficient machine learning models. Leveraging the capabilities of neural networks, this technology yields precise results in power system fault analysis.