A well-timed “furrowed face”—a subtle expression we instinctively recognize as “thinking”—can make androids appear less creepy and more relatable to humans.

As the world shifts towards greener transportation solutions, electric vehicles (EVs) are at the forefront of this transformation. However, one of the significant challenges facing EVs is the reliability and longevity of their lithium-ion batteries. A recent study by researchers from the Department of Electrical Engineering at Amirkabir University of Technology introduces a novel method for detecting faults in both new and aged lithium-ion battery cells, ensuring the safety and efficiency of EVs throughout their lifespan.

As the demand for electric vehicles (EVs) continues to surge, ensuring the efficiency and safety of their battery systems has become a critical focus for researchers. A groundbreaking study from the Training and Workshops Center at the University of Technology, Baghdad, Iraq, introduces an innovative approach to predicting thermal heat flux distribution in EV battery cells. By combining finite element analysis (FEA) with neural network (NN) models, this research promises to enhance battery performance and longevity, paving the way for more reliable and sustainable electric transportation.

Li–CO₂ batteries are considered promising energy storage systems in extreme environments such as Mars; however, severe performance degradation will occur at a subzero temperature owning to the sluggish reaction kinetics. Herein, a photo-energized strategy adopting sustainable solar energy in wide working temperature range Li–CO₂ battery was achieved with a binder-free MoS₂/carbon nanotube (CNT) photo-electrode as cathode. The unique layered structure and excellent photoelectric properties of MoS₂ facilitate the abundant generation and rapid transfer of photo-excited carriers, which accelerate the CO₂ reduction and Li₂CO₃ decomposition upon illumination. The illuminated battery at room temperature exhibited high discharge voltage of 2.95 V and mitigated charge voltage of 3.27 V, attaining superior energy efficiency of 90.2% and excellent cycling stability of over 120 cycles. Even at an extremely low temperature of − 30 °C, the battery with same electrolyte can still deliver a small polarization of 0.45 V by the photoelectric and photothermal synergistic mechanism of MoS₂/CNT cathode. This work demonstrates the promising potential of the photo-energized wide working temperature range Li–CO₂ battery in addressing the obstacle of charge overpotential and energy efficiency.

This paper explores the potential of mitochondrial-associated programmed-cell-death (mtPCD) patterns as biomarkers for predicting the prognosis of non-small-cell lung cancer (NSCLC). NSCLC is the most common type of lung cancer, accounting for 85% of all cases, and despite advances in treatment, prognosis remains poor for many patients. The study investigates various mtPCD-related genes and their association with patient outcomes, aiming to identify a prognostic signature that can guide personalized treatment.