Researchers from Hebei University of Technology have developed an innovative approach to lithium-ion battery management that could significantly improve the safety and performance of electric vehicles. The new method, which estimates a battery's state of charge (SOC) based on its internal core temperature rather than surface temperature, addresses a critical flaw in current battery management systems while requiring less computational resources. SOC estimation—essentially determining how much "fuel" remains in an electric vehicle's battery—is crucial for safe and efficient battery operation. However, current methods typically rely on surface temperature measurements that can be misleading for the accuracy of SOC estimation.

Rheumatoid arthritis has traditionally been framed as a self-contained autoimmune disease confined to joints, yet mounting clinical and molecular evidence now argues that it functions as a hub within an expansive web of interacting disorders. Drawing on 392,423 Finnish residents—12,555 of whom carry an RA diagnosis—disease-wide association scanning traces 1,289 distinct medical events before and after the first rheumatology clinic visit. By coupling survival modelling to systematic nosology, clusters of pre-RA liabilities and post-RA sequelae emerge that dissolve the boundary between “the index disease” and apparently unrelated organ pathology.

Submonolayered ruthenium-modified palladium mesoporous nanosheets have been developed and serve as highly efficient multifunctional electrocatalysts, which demonstrate exceptional performance in both hydrogen evolution and alcohol oxidation reactions, opening a promising avenue for highly efficient hydrogen production.

Organic–inorganic hybrid perovskite solar cells achieve remarkable efficiencies (> 26%) yet face stability challenges. Quasi-2D alternating-cation-interlayer perovskites offer enhanced stability through hydrophobic spacer cations but suffer from vertical phase segregation and buried interface defects. Herein, we introduce dicyanodiamide (DCD) to simultaneously address these dual limitations in GA(MA)_nPb_nI_3n+1 perovskites. The guanidine group in DCD passivates undercoordinated Pb²⁺ and MA⁺ vacancies at the perovskite/TiO₂ interface, while cyano groups eliminate oxygen vacancies in TiO₂ via Ti⁴⁺–CN coordination, reducing interfacial trap density by 73% with respect to the control sample. In addition, DCD regulates crystallization kinetics, suppressing low-n-phase aggregation and promoting vertical alignment of high-n phases, which benefit for carrier transport. This dual-functional modification enhances charge transport and stabilizes energy-level alignment. The optimized devices achieve a record power conversion efficiency of 21.54% (vs. 19.05% control) and retain 94% initial efficiency after 1200 h, outperforming unmodified counterparts (84% retention). Combining defect passivation with phase homogenization, this work establishes a molecular bridge strategy to decouple stability-efficiency trade-offs in low-dimensional perovskites, providing a universal framework for interface engineering in high-performance optoelectronics.

To study the effects of preconceptional thyroid-stimulating hormone (TSH) levels on antral follicle count (AFC) and pregnancy outcomes in a first in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) cycle.

Cisplatin (CIS), as a common chemotherapy drug, induces detrimental effects on the testis. Besides, exosomes represent various beneficial effects, such as anti-inflammation and proliferation. In this experimental study, the authors aimed to evaluate the anti-inflammatory effects of circulating blood serum–derived exosomes on orchitis caused by CIS exposure.

Designing high-performance electrocatalysts is one of the key challenges in the development of microbial electrochemical hydrogen production. Transition metal-based (TM-based) electrocatalysts are introduced as an astonishing alternative for future catalysts by addressing several disadvantages, like the high cost and low performance of noble metal and metal-free electrocatalysts, respectively. In this critical review, a comprehensive analysis of the major development of all families of TM-based catalysts from the beginning development of microbial electrolysis cells in the last 15 years is presented. Importantly, pivotal design parameters such as selecting efficient synthesis methods based on the type of material, main criteria during each synthesizing method, and the pros and cons of various procedures are highlighted and compared. Moreover, procedures for tuning and tailoring the structures, advanced strategies to promote active sites, and the potential for implementing novel unexplored TM-based hybrid structures suggested. Furthermore, consideration for large-scale application of TM-based catalysts for future mass production, including life cycle assessment, cost assessment, economic analysis, and recently pilot-scale studies were highlighted. Of great importance, the potential of utilizing artificial intelligence and advanced computational methods such as active learning, microkinetic modeling, and physics-informed machine learning in designing high-performance electrodes in successful practices was elucidated. Finally, a conceptual framework for future studies and remaining challenges on different aspects of TM-based electrocatalysts in microbial electrolysis cells is proposed.

Leveraging the strong interactions between single-atom catalysts (SACs) and two-dimensional (2D) atomically thin materials (ATMs), this review systematically explores the theoretical foundations of structural design and synthetic strategies for SACs@ATMs. It also comprehensively summarizes their reaction mechanisms and highlights recent advances in their application to electrocatalytic water splitting.