380 research outputs found
The remedial solutions of the issues of Pakistan in 2022 in the light of Qur’ān and Sunnah
Islam is a religion which encompasses the whole important aspects of life including political, economic, collective, ideological and military perspectives. It has also a significant proportion and balance of life in Islam. So, it also sustains the subtle balance in all walks of life. It creates a balance between the rights of people which may be collective or individual. As he depicts the responsibilities of the Rulers and masses as they have their own coordinate rights and duties. It is also a fact that un-Islamic ideologies have been ruling the whole world and they attacked from the East and West and showed their control over the Islamic Countries. But now there is a strong wave of change in order to implement their Islamic ideologies in the Islamic countries such as Pakistan, in the light of glorious Quran and Sunnah of the Holy Prophet PBUH. Disaster management may be presented to the world so that the economic and flood crisis might be resolved in Pakistan. This comprehensive research regarding emergence of wealth and Rehabilitation, and its distribution according to the positive manners should be implemented accurately and solution of all the problems in our country may be sought out. Because the Islamic system of justice is a sole comprehensive system which presents the solution of all existing economic issues as well national disaster like recent flood crisis in whole country
Hyperprolactinaemia induced by proton pump inhibitor
A case of a 13 year old girl who manifested hyperprolactinaemia and galactorrhea induced by Omeprazole, a commonly used proton pump inhibitor is presented
ByteStack-ID: Integrated Stacked Model Leveraging Payload Byte Frequency for Grayscale Image-based Network Intrusion Detection
In the ever-evolving realm of network security, the swift and accurate
identification of diverse attack classes within network traffic is of paramount
importance. This paper introduces "ByteStack-ID," a pioneering approach
tailored for packet-level intrusion detection. At its core, ByteStack-ID
leverages grayscale images generated from the frequency distributions of
payload data, a groundbreaking technique that greatly enhances the model's
ability to discern intricate data patterns. Notably, our approach is
exclusively grounded in packet-level information, a departure from conventional
Network Intrusion Detection Systems (NIDS) that predominantly rely on
flow-based data. While building upon the fundamental concept of stacking
methodology, ByteStack-ID diverges from traditional stacking approaches. It
seamlessly integrates additional meta learner layers into the concatenated base
learners, creating a highly optimized, unified model. Empirical results
unequivocally confirm the outstanding effectiveness of the ByteStack-ID
framework, consistently outperforming baseline models and state-of-the-art
approaches across pivotal performance metrics, including precision, recall, and
F1-score. Impressively, our proposed approach achieves an exceptional 81\%
macro F1-score in multiclass classification tasks. In a landscape marked by the
continuous evolution of network threats, ByteStack-ID emerges as a robust and
versatile security solution, relying solely on packet-level information
extracted from network traffic data.Comment: 6 pages, 6 figure
Cerebral salt wasting syndrome in tuberculous meningitis
Case of a seventy year old female, who developed cerebral salt wasting syndrome in association with Tuberculous Meningitis is presented
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