The groundbreaking Unmanned Aerial Vehicles (UAVs) technology has gained significant attention from both academia and industrial experts due to several applications, such as military missions, power lines inspection, precision agriculture, remote sensing, delivery services, traffic monitoring and many more. UAVs are expected to become a mainstream delivery element by 2040 to address the ever-increasing demand for delivery services. Similarly, UAV-assisted monitoring approaches will automate the inspection process, lowering mission costs, increasing access to remote locations and saving time and energy. Despite the fact that unmanned aerial vehicles (UAVs) are gaining popularity in both military and civilian applications, they have a number of limitations and critical problems that must be addressed in order for missions to be effective. One of the most difficult and time-consuming tasks is charging UAVs. UAVs’ mission length and travel distance are constrained by their low battery endurance. There is a need to study multi-UAV charging systems to overcome battery capacity limitations, allowing UAVs to be used for a variety of services while saving time and human resources. Wired and Wireless Power Transfer (WPT) systems have emerged as viable options to successfully solve this difficulty. In the past, several research surveys have focused on crucial aspects of wireless UAV charging. In this review, we have also examined the most emerging charging techniques for UAVs such as laser power transfer (LPT), distributed laser charging (DLC), simultaneous wireless information and power transfer (SWIPT) and simultaneous light wave information and power transfer (SLIPT). The classification and types of UAVs, as well as various battery charging methods, are all discussed in this paper. We’ve also addressed a number of difficulties and solutions for safe operation. In the final section, we have briefly discussed future research directions.

Orthogonal time frequency space (OTFS) modulation is emerging as a strong candidate for Low Earth Orbit (LEO) satellite communication systems due to its ability to counter Doppler and delay impairments, enabling reliable performance in high-mobility environments. However, OTFS-based LEO Satcom still faces critical challenges in physical layer security (PLS) and peak-to-average power ratio (PAPR) reduction, particularly in Frequency Division Duplex (FDD) systems where channel reciprocity is only partial. To address these issues, this paper proposes a chaos-based secure OTFS scheme that jointly enhances secrecy and reduces PAPR. The scheme exploits the slow-varying delay-Doppler channel characteristics of the legitimate link to derive a common chaos sequence at both the satellite and ground receiver. This sequence is used to generate secure phase rotations, eliminating the need for side-information exchange and simultaneously enabling PAPR reduction through a selective mapping (SLM) process. A closed-form approximation of the ergodic secrecy rate is derived, and performance is validated through simulation. Results show that the proposed method significantly improves secrecy rate while maintaining a bit error rate (BER) close to 0.5 for the eavesdropper, and achieves notable PAPR reduction without additional signaling overhead. These findings confirm that the proposed scheme effectively addresses both the security and energy efficiency requirements of LEO Satcom.

The Yemeni Music Genres Dataset (YMGD) is the first curated benchmark for Arabic Yemeni musical traditions, comprising a balanced collection of five genres, Sana'ani, Hadhrami, Tihami, Lahji, and Adeni, with 230 audio recordings per class, each standardized to 30 s. In addition to the audio content, the dataset includes comprehensive metadata for each track, including artist name, genre label, and title, enabling structured analysis and reproducibility. The dataset was manually collected from publicly available sources, primarily YouTube, and subsequently annotated by domain experts in Yemeni music to ensure high labeling fidelity. Inter-annotator agreement was quantified using Fleiss’ Kappa, yielding a score of 0.85, indicating strong consistency and reliability in the annotation process. This dataset provides a robust foundation for a wide range of research applications, including music information retrieval, the development and evaluation of machine learning models for genre classification, recommendation systems, and computational cultural analysis. By combining expert validation with balanced representation and standardized preprocessing, it establishes a high-quality benchmark resource for both research and educational use in low-resource musical domains. The dataset will be accessible at the following link: https://doi.org/10.5281/zenodo.19543208.

This study examines when and how identity diversity is associated with strategic decision quality in teams. Drawing on social identity, inclusion, cognitive‐diversity, and contingency perspectives, it develops a two‐stage moderated mediation model in which inclusive conditions shape the relationship between identity diversity and psychological safety, while task uncertainty conditions the relationship between psychological safety and decision quality. The model was tested in a controlled simulation involving 60 six‐person teams and a time‐lagged, multi‐source field study of 86 organizational teams. Across both studies, identity diversity was more positively associated with psychological safety under high inclusion, whereas psychological safety was more strongly associated with decision quality under high task uncertainty. The largest estimated conditional indirect association between identity diversity and decision quality through psychological safety occurred when inclusion and task uncertainty were both high. These findings distinguish the social conditions that enable demographic differences to be expressed from the task conditions that make such contributions valuable for strategic decision‐making. The experimental manipulations support causal inference regarding inclusion mechanisms and task uncertainty, while relationships involving measured identity diversity and psychological safety remain associational. Overall, the findings provide a process‐based explanation of how inclusive team environments and uncertain task demands jointly shape the strategic value of identity diversity.