Hamza Ali

In a recent announcement at the Google for Games Developer Summit in San Francisco

ISLAMABAD - Additional District and Session Judge (BPS-20) Tahir Abbas Sipra is appointed as an Anti-terrorism Court Judge at the Federal Judicial Complex, Islamabad. Notification of Judge Tahir Abbas Sipra's appointment as Special Court - II (Anti-Terrorism) was issued on April 1st by the Minsitry of Law and Justice. According to the notification, he's been sent to special courts on deputation for 3 years. Judge Abual Hasnaat Zulqarnain who has convicted former prime minister Imran Khan and former foreign minister Shah Mehmood Qureshi in the Cypher Case has been on 60 days' personal leave till April 25th. Judge Abual Hasnaat Zulqarnain has charge of two Anti-Terrorism courts and one Special Court of the official secret act at Federal Judicial Complex, Islamabad. According to the sources, there were 37 trials in pendency at three Anti-terrorism courts before the start of the Cypher Case trial on October 1st, 2023. Judge Abual Hasnaat Zulqarnain visited Adiala Jail almost 30 times and the pendency rate after the Cypher Case trial reached 52. 5 cases among 52 are of official secret act special court. There are several cases in Anti-terrorism courts that are in the infancy stages but can't proceed further because of the unavailability of the judge.

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Department of Computer Science, Faculty of Computing and Information Technology-Rabigh, King Abdulaziz University, Jeddah 22254, Saudi Arabia

Key Features of WHMCS Themes: 3 When setting up a hosting website, choosing the right theme is crucial for both functionality and aesthetics.

Transitioning to impartial budget can be both exciting and overwhelming for young adults. Providing steering for the duration of this…

The Internet of Health Things (IoHT) is a broader version of the Internet of Things. The main goal is to intervene autonomously from geographically diverse regions and provide low-cost preventative or active healthcare treatments. Smart wearable IMUs for human motion analysis have proven to provide valuable insights into a person's psychological state, activities of daily living, identification/re-identification through gait signatures, etc. The existing literature, however, focuses on specificity i.e., problem-specific deep models. This work presents a generic BiGRU-CNN deep model that can predict the emotional state of a person, classify the activities of daily living, and re-identify a person in a closed-loop scenario. For training and validation, we have employed publicly available and closed-access datasets. The data were collected with wearable inertial measurement units mounted non-invasively on the bodies of the subjects. Our findings demonstrate that the generic model achieves an impressive accuracy of 96.97% in classifying activities of daily living. Additionally, it re-identifies individuals in closed-loop scenarios with an accuracy of 93.71% and estimates emotional states with an accuracy of 78.20%. This study represents a significant effort towards developing a versatile deep-learning model for human motion analysis using wearable IMUs, demonstrating promising results across multiple applications.

Throughout history, governments have sometimes enacted policies based on flawed data, misunderstandings, or even myths. Some of these policies had lasting impacts on society, shaping public behavior, influencing economic trends, or restricting freedoms—all based on information that was later proven incorrect. Here are ten historical examples of policies that were set into motion by misinformation, highlighting how flawed facts can lead to significant consequences.

Scientific breakthroughs have the power to transform our understanding of the world, influence public policy, and even change the course of history.

Some of the world's most recognizable brands weren't always guaranteed success. While they might seem like permanent fixtures in our everyday lives, many