This article describes recent developments, issues, and opportunities associated with the production and use of Ti and its alloys in aerospace components. Included are new Ti alloys, new applications of Ti alloys, and the current status of several manufacturing processes including a discussion of the promise and current reality of additive manufacturing as a potentially revolutionary method of producing Ti alloy components.

Article reviews the current techniques of low-light image enhancement.

This article employs a recently introduced magnesium-samarium oxide (Mg–Sm₂O₃) nanocomposite, with different volume fractions of nanosize Sm₂O₃ particles as reinforcement, to study ambient temperature rate-dependent plastic response of the material.

Article exploring phonon dynamics in mechanically exfoliated two-dimensional WSe₂ using temperature-dependent and laser-power-dependent Raman and photoluminescence (PL) spectroscopy. The work reported sheds fundamental insights into the evolution of phonon dynamics in WSe₂ and should help pave the way for designing high-performance electronic, optoelectronic and thermoelectric devices in the future.

This article presents a comprehensive overview of the key enabling technologies required for 5G and 6G networks, highlighting the massive MIMO systems. The authors discuss the fundamental challenges related to pilot contamination, channel estimation, precoding, user scheduling, energy efficiency, and signal detection in massive MIMO systems and discuss state-of-the-art mitigation techniques. Recent trends such as terahertz communication, ultra massive MIMO (UM-MIMO), visible light communication (VLC), machine learning, and deep learning for massive MIMO systems are outlined. Finally, future research for massive MIMO systems for 5G and beyond is discussed.

This article develops a three-dimensional thermokinetic model based on the finite element method to correlate with the microstructure evolved in additively manufactured Ti6Al4V alloy.

Article investigating a non-conductive sensor textile as a viable solution for corrosion in underground and submerged steel pipes. The results offer a new option for sub-surface corrosion sensing using low cost, easily fabricated sensor textiles.

Article addresses the processing of negation in Spanish by presenting a machine learning system that processes negation in Spanish and providing a qualitative error analysis aimed at understanding the limitations of the system and showing which negation cues and scopes are straightforward to predict automatically, and which ones are challenging.