The field of integrated sensing and communication systems is rapidly advancing, with a focus on developing innovative solutions to overcome the limitations of existing systems. Recent developments have centered around the design of new architectures and algorithms that can efficiently integrate sensing and communication functionalities, enabling seamless and adaptive communication networks. Notably, researchers are exploring the use of movable antennas, joint beamforming and trajectory optimization, and novel signal waveforms to enhance the performance of these systems. These advancements have the potential to revolutionize various applications, including low-altitude wireless networks, maritime communications, and remote sensing. Noteworthy papers include: Extended AB Algorithms for Bistatic Integrated Sensing and Communications Systems, which proposes a novel algorithm to calculate the rate-distortion trade-off in bistatic ISAC systems. QoS-Aware Integrated Sensing, Communication, and Control with Movable Antenna, which presents a movable antenna-empowered ISCC system that achieves substantial gains in achievable data rate and control QoS. Per-antenna power constraints: constructing Pareto-optimal precoders with cubic complexity under non-negligible noise conditions, which develops a computational algorithm for constructing a precoder that is SINR multiobjective Pareto-optimal under per-antenna power constraints. Unified Design of Space-Air-Ground-Sea Integrated Maritime Communications, which proposes a space-air-ground-sea integrated maritime communication architecture that combines satellite, UAV, TBS, and USV to provide seamless communications with QoS guarantee. Integrated Communication and Remote Sensing in LEO Satellite Systems: Protocol, Architecture and Prototype, which explores the integration of communication and SAR-based remote sensing in LEO satellite systems and proposes an integrated communication and remote sensing architecture based on an ODDM signal waveform.