The field of wireless communication and estimation is moving towards the development of more efficient and reliable methods for transmitting and processing information. Researchers are exploring new approaches to address the challenges posed by packet-dropping wireless channels, energy-conserving sensors, and massive machine-type connectivity. One of the key areas of focus is the design of optimal transmission policies that balance the trade-off between information freshness and reliability. Another important direction is the development of novel sparse code structures and power division strategies for unsourced random access. These advances have the potential to significantly improve the performance of wireless communication systems and enable more efficient and reliable data transmission. Noteworthy papers include: Improved ALOHA-based URA with Index Modulation, which proposes an improved ALOHA-based unsourced random access scheme with efficient decoding and analysis. Probabilistic ODMA Receiver with Low-Complexity Algorithm for MIMO Unsourced Random Access, which presents a low-complexity detector based on approximate message passing for pilot-uncoupled and pilot-free on-off multiple access receivers.