For hybrid electric vehicles, supercapacitors are an attractive technology which, when used in conjunction with the batteries as a hybrid system, could solve the shortcomings of the battery. Supercapacitors would allow hybrid electric vehicles to achieve high efficiency and better power control. Supercapacitors possess very good power density. Besides this, their charge-discharge cycling stability and comparatively reasonable cost make them an incredible energy-storing device. The manufacturing strategy and the major parts like electrodes, current collector, binder, separator, and electrolyte define the performance of a supercapacitor. Among these, electrode materials play an important role when it comes to the performance of supercapacitors. They resolve the charge storage in the device and thus decide the capacitance. Porous carbon, conductive polymers, metal hydroxide, and metal oxides, which are some of the usual materials used for the electrodes in the supercapacitors, have some limits when it comes to energy density and stability. Major research in supercapacitors has focused on the design of stable, highly efficient electrodes with low cost. In this review, the most recent electrode materials used in supercapacitors are discussed. The challenges, current progress, and future development of supercapacitors are discussed as well. This study clearly shows that the performance of supercapacitors has increased considerably over the years and this has made them a promising alternative in the energy sector.

Artificial Intelligence (AI) has the potential to play a significant role in disaster risk management – from predicting disasters to optimizing response efforts. However, its application in disaster management also presents significant challenges. These challenges include the need for high-quality and diverse data, compatibility with existing systems and technologies, ethical and social implications, and ongoing research and development. In addition, data privacy and security is a critical issue as the use of AI in disaster management often involves the collection and analysis of sensitive information. Addressing these challenges is crucial to ensuring that AI is developed and used in ways that are fair, equitable, and effective in reducing the impact of disasters. The aim of the paper is to provide an analysis of challenges of artificial intelligence application for disaster risk management.

Generative Artificial Intelligence (AI) offers tremendous potential in various domains but also raises critical ethical concerns. Key issues include the potential for misuse in spreading misinformation, the perpetuation of biases present in training data, the implications for privacy and data rights. It is crucial for developers, regulators and the public to collaborate in establishing robust ethical frameworks. These frameworks should guide the development and deployment of generative models, ensuring responsible use that maximizes benefits while mitigating risks. In this context the transparency, accountability, and public engagement emerge as foundational principles for navigating the ethical landscape of Generative AI. The aim of the paper is to propose a conceptual framework for solving ethical issues in Generative AI, after exploring issues, challenges, and implications for finding a more accountable integration of the technology into society.

Natural and man-made disasters can severely destroy environments and they make conditions difficult to access the affected areas and to provide assistance. The conditions on-site could be dangerous and unstable and there is an increasing need for life-saving decisions to be taken quickly to minimize evolving hazards and to start relief operations. The accurate and timely data gathering is important to produce a full information about the calamity. In recent disasters drones are deployed extensively to help find people quickly, provide imminent reliable imagery and data by flying closer to the ground. They are used to create disaster maps and assess damage after earthquakes, landslides, hurricanes, etc. The fast transition into the digital age makes new technologies become available to enhance and expand drone capabilities in disaster risk management, such as Virtual Reality (VR) and Augmented Reality (AR). The paper tries to analyze how VR can be used to plan operations in a controlled manner before deadly events strike by creating disaster simulations in digital environments, enabling the rescuers to practice as many times as necessary until they are able to achieve mastery of the life-saving techniques. The paper also analyzes how drones, equipped with cameras, devices and AR, can be used to create different types of maps that help rescuers locate critical spots. These can also facilitate the location of people in need, and can survey constructions to find critical damages.