Patients with subacute subdural hematoma (sASDH) do not have an optimal non-surgical therapeutic strategy. In this study, scientists from Capital Medical University, Beijing, and Tianjin Medical University, Tianjin, present five case studies where patients received atorvastatin plus low-dose dexamethasone for sASDH. They report resolution of hematomas in all patients, with no recurrence or progression during the six-month follow-up period.  This may be a potential alternative treatment for patients who prefer non-surgical therapy for sASDH.

T cells play a central role in the cancer immunity cycle. The therapeutic outcomes of T cell-based intervention strategies are determined by multiple factors at various stages of the cycle. This review summarizes and discusses recent advances in, and potential barriers to, T-cell immunotherapy, within the framework of the cancer immunity cycle, including T-cell recognition of tumor antigens for activation, T-cell trafficking and infiltration into tumors, and killing of target cells. Moreover, they discuss the key factors influencing T cell differentiation and functionality, including TCR stimulation, costimulatory signal, cytokines, metabolic reprogramming, and mechanistic forces. The authors also highlight the key transcription factors dictating T cell differentiation and discuss how metabolic circuits and specific metabolites shape the epigenetic program of tumor-infiltrating T cells. In conclusion, a better understanding of T cell fate decisions will help design new strategies to overcome barriers to effective immunization against cancer.

This study presents a chip-scale acousto-optic phase modulation approach based on flexible PDMS for generating sub-MHz interleaved frequency combs for higher-resolution. When integrated with plasmonic nanostructures, the system enables a next-generation platform for precision direct frequency comb spectroscopy.

As the world shifts toward sustainable transportation, electric vehicles (EVs) have emerged as a key solution to reducing greenhouse gas emissions. However, one major hurdle remains: efficient and convenient charging. While wireless power transfer (WPT) has gained traction, most systems rely on inductive charging, which requires bulky ferrite cores and suffers from misalignment issues.

As the world grapples with climate change, the shift toward sustainable transportation has become imperative. Electric vehicles (EVs) are at the forefront of this transition, offering cleaner and more efficient alternatives to fossil fuel-powered cars. However, the widespread adoption of EVs faces challenges, particularly in charging infrastructure. Wireless power transfer (WPT) technology presents a promising solution, eliminating the need for physical connectors and enabling seamless charging. Among WPT methods, inductive power transfer (IPT) stands out due to its reliability and efficiency. This study focuses on optimizing circular coils with ferrite cores to enhance IPT efficiency for EVs, addressing critical limitations such as misalignment tolerance and electromagnetic field (EMF) dispersion. 

The global transition to renewable energy faces a critical challenge: maintaining stable power grids as we integrate intermittent solar/wind generation and growing numbers of electric vehicles. This groundbreaking research presents an intelligent solution that could transform how we manage these complex energy systems.

Researchers from Shanghai Institute of Applied Physics and Shanghai Advanced Research Institute utilized Bayesian neural networks (BNN) to achieve highly reliable fitting of photonuclear (γ,n) reaction cross-sections, significantly improving prediction accuracy and generalization capabilities. This advancement enhances the efficiency of experimental data usage and paves the way for future progress in nuclear astrophysics and radiation detection technologies.Researchers from Shanghai Institute of Applied Physics and Shanghai Advanced Research Institute utilized Bayesian neural networks (BNN) to achieve highly reliable fitting of photonuclear (γ,n) reaction cross-sections, significantly improving prediction accuracy and generalization capabilities. This advancement enhances the efficiency of experimental data usage and paves the way for future progress in nuclear astrophysics and radiation detection technologies.

In a research paper, scientists from the Tsinghua University proposed a novel enhanced Digital Light Processing (DLP) 3D printing technology, capable of printing composite magnetic structures with different material sin a single step. Furthermore, a soft robot with a hard magnetic material-superparamagnetic material composite was designed and printed.

Triboelectric nanogenerators (TENGs) represent a cutting-edge class of devices for energy conversion and self-powered sensing. The selection of appropriate triboelectric and conductive materials is critical in determining the performance of TENGs. In recent years, MXenes, particularly Ti₃C₂ MXene, have emerged as promising candidates for triboelectric/conductive materials in TENGs. To elucidate the multifaceted roles of MXenes, this review examines their applications from a materials science perspective. The applications are categorized into four types based on the functional layers of TENGs where MXenes are applied: (1) MXene films as conductive layers, (2) MXene films as triboelectric layers, (3) MXene nanosheets as fillers in polymer-based triboelectric layers, and (4) MXene films as charge trapping layers. The rationale and advantages of utilizing MXenes in each application are analyzed and elucidated. Owing to their unique combination of properties, including electronegativity, electrical conductivity and flexibility, MXenes demonstrate remarkable versatility in all functional layers, either as pure films or composite films. Systematic analysis reveals that MXene composite films are particularly promising for the applications. This review represents the first comprehensive attempt to classify MXene applications in TENGs and articulate their inherent advantages, thereby providing a foundation for the design and development of high-performance MXene-based TENGs.