Preparation of Robust, Antireflective and Superhydrophobic Hierarchical Coatings on PMMA Substrates via Mechanical Locking and Chemical Bonding.

Antireflection (AR) coatings with mechanical robustness and superhydrophobic properties have wide potential applications in optical, electronic, and automotive fields. However, the fabrication of large-sized, robust, and multifunctional AR coatings on plastic/polymer substrates has been a challenging problem. In this study, we developed a bottom-up approach to produce mechanically robust, enhanced transmittance, and superhydrophobic coatings on poly(methyl methacrylate) (PMMA) substrate.

Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network.

Steady-State Visually Evoked Potential (SSVEP) signals can be decoded by either a traditional machine learning algorithm or a deep learning network. Combining the two methods is expected to enhance the performance of an SSVEP-based brain-computer interface (BCI) by exploiting their advantages. However, an efficient strategy for integrating the two methods has not yet been established.

Development and validation of a real-time prediction model for acute kidney injury in hospitalized patients.

Early prediction of acute kidney injury (AKI) may provide a crucial opportunity for AKI prevention. To date, no prediction model targeting AKI among general hospitalized patients in developing countries has been published. Here we show a simple, real-time, interpretable AKI prediction model for general hospitalized patients developed from a large tertiary hospital in China, which has been validated across five independent, geographically distinct, different tiered hospitals.

Demonstration of high-reconfigurability and low-power strong physical unclonable function empowered by FeFET cycle-to-cycle variation and charge-domain computing.

Physical unclonable functions (PUFs) are of immense potential in authentication scenarios for Internet of Things (IoT) devices. For creditable and lightweight PUF applications, key attributes, including low power, high reconfigurability and large challenge-response pair (CRP) space, are desirable. Here, we report a ferroelectric field-effect transistor (FeFET)-based strong PUF with high reconfigurability and low power, which leverages the FeFET cycle-to-cycle variation throughout the workflow and introduces charge-domain in-memory computing.

Interface-engineered non-volatile visible-blind photodetector for in-sensor computing.

Ultraviolet (UV) detection is extensively used in a variety of applications. However, the storage and processing of information after detection require multiple components, resulting in increased energy consumption and data transmission latency. In this paper, a reconfigurable UV photodetector based on CeO/SrTiO heterostructures is demonstrated with in-sensor computing capabilities achieved through interface engineering.

Photoinduced hidden monoclinic metallic phase of VO driven by local nucleation.

The insulator-to-metal transition in VO has garnered extensive attention for its potential applications in ultrafast switches, neuronal network architectures, and storage technologies. However, the photoinduced insulator-to-metal transition remains controversial, especially whether a complete structural transformation from the monoclinic to rutile phase is necessary. Here we employ the real-time time-dependent density functional theory to track the dynamic evolution of atomic and electronic structures in photoexcited VO, revealing the emergence of a long-lived monoclinic metal phase under low electronic excitation.

Global-optimized energy storage performance in multilayer ferroelectric ceramic capacitors.

Multilayer ceramic capacitor as a vital core-component for various applications is always in the spotlight. Next-generation electrical and electronic systems elaborate further requirements of multilayer ceramic capacitors in terms of higher energy storage capabilities, better stabilities, environmental-friendly lead-free, etc., where these major obstacles may restrict each other.

Ultra-low power-consumption OLEDs via phosphor-assisted thermally-activated-delayed-fluorescence-sensitized narrowband emission.

The further success of OLED beyond conventional low-luminance display applications has been hampered by the low power efficiency (PE) at high luminance. Here, we demonstrate the strategic implementation of an exceptionally high-PE, high-luminance OLED using a phosphor-assisted thermally-activated-delayed-fluorescence (TADF)-sensitized narrowband emission. On the basis of a TADF sensitizing-host possessing a fast reverse intersystem crossing, an anti-aggregation-caused-quenching character and a good bipolar charge-transporting ability, this design achieves not only a 100% exciton radiative consumption with decay times mainly in the sub-microsecond regime to mitigate exciton annihilations for nearly roll-off-free external quantum efficiency, but also narrowband emission with both small energetic loss during energy transfer and resistive loss with increasing luminance.

Nano-seeding catalysts for high-density arrays of horizontally aligned carbon nanotubes with wafer-scale uniformity.

In the realm of modern materials science, horizontally aligned carbon nanotube arrays stand as promising materials for the development of next-generation integrated circuits. However, their large-scale integration has been impeded by the constraints of current fabrication techniques, which struggle to achieve the necessary uniformity, density, and size control of carbon nanotube arrays. Overcoming this challenge necessitates a significant shift in fabrication approaches.

TOPS-speed complex-valued convolutional accelerator for feature extraction and inference.

Complex-valued neural networks process both amplitude and phase information, in contrast to conventional artificial neural networks, achieving additive capabilities in recognizing phase-sensitive data inherent in wave-related phenomena. The ever-increasing data capacity and network scale place substantial demands on underlying computing hardware. In parallel with the successes and extensive efforts made in electronics, optical neuromorphic hardware is promising to achieve ultra-high computing performances due to its inherent analog architecture and wide bandwidth.

A data-driven group retrosynthesis planning model inspired by neurosymbolic programming.

Deep generative models have garnered significant attention for their efficiency in drug discovery, yet the synthesis of proposed molecules remains a challenge. Retrosynthetic planning, a part of computer-assisted synthesis planning, addresses this challenge by recursively decomposing molecules using symbolic rules and machine-trained scoring functions. However, current methods often treat each molecule independently, missing the opportunity to utilize shared synthesis patterns and repeat pathways, which may contribute from known synthesis routes to newly emerging, similar molecules, a notable challenge with AI-generated small molecules.

Ultra robust negative differential resistance memristor for hardware neuron circuit implementation.

Neuromorphic computing holds immense promise for developing highly efficient computational approaches. Memristor-based artificial neurons, known for due to their straightforward structure, high energy efficiency, and superior scalability, which enable them to successfully mimic biological neurons with electrical devices. However, the reliability of memristors has always been a major obstacle in neuromorphic computing.

Unusual violation of the Wiedemann-Franz law at ultralow temperatures in topological compensated semimetals.

Thermal conductivity and electrical resistivity at ultralow temperatures and high magnetic fields are studied in the topological compensated semimetals TaAs, NbAs, and NdSb. A striking phenomenon is observed where the thermal conductivity shows a T scaling at very low temperatures, while the resistivity shows a T-independent residual term. This indicates a strong violation of the Wiedemann-Franz (WF) law, since the field dependence of κ shows that the low-temperature thermal conductivity is dominated by electronic transport.

One-sided device-independent random number generation through fiber channels.

Randomness is an essential resource and plays important roles in various applications ranging from cryptography to simulation of complex systems. Certified randomness from quantum process is ensured to have the element of privacy but usually relies on the device's behavior. To certify randomness without the characterization for device, it is crucial to realize the one-sided device-independent random number generation based on quantum steering, which guarantees security of randomness and relaxes the demands of one party's device.

High-integrated photonic tensor core utilizing high-dimensional lightwave and microwave multidomain multiplexing.

The burgeoning volume of parameters in artificial neural network models has posed substantial challenges to conventional tensor computing hardware. Benefiting from the available optical multidimensional information entropy, optical intelligent computing is used as an alternative solution to address the emerging challenges of electrical computing. These limitations, in terms of device size and photonic integration scale, have hindered the performance of optical chips.

Enhanced leachate concentrate degradation across variable pH ranges using Cu@ATP-CTS Fenton-like catalysts for H₂O₂ activation.

Landfill leachate nanofiltration concentrates (LLNC) contain complex organic pollutants that are difficult to treat. This study developed a copper-doped attapulgite-chitosan composite catalyst (Cu@ATP-CTS) for efficient LLNC degradation in a Fenton-like system. The incorporation of attapulgite extended the effective pH range of Fenton reactions from 2 to 8, overcoming traditional limitations.

Patterns of liver fibrosis evolution in Chinese HIV/HBV co-infected adults following 5-year antiretroviral treatment: a longitudinal study using non-invasive APRI and Fib-4 scores.

The long-term effects of combined antiretroviral therapy (ART) on liver fibrosis patterns in adults living with HIV and chronic hepatitis B virus (HBV) are not well understood. Therefore, this study aimed to investigate the trajectories of liver fibrosis and identify the associations of baseline variables with different patterns of liver fibrosis evolution. A total of 333 individuals with HIV/HBV co-infection and undergoing long-term ART were enrolled in this study.

Ancestral genome reconstruction and the evolution of chromosomal rearrangements in Triticeae.

Chromosomal rearrangements (CRs) often cause phenotypic variations. Although several major rearrangements have been identified in Triticeae, a comprehensive study of the order, timing, and breakpoints of CRs has not been conducted. Here, we reconstruct high-quality ancestral genomes for the most recent common ancestor (MRCA) of the Triticeae, and the MRCA of the wheat lineage (Triticum and Aegilops).

C-C motif chemokine ligand 5 contributes to radon exposure-induced lung injury by recruiting dendritic cells to activate effector T helper cells.

Radon (Rn) is a naturally occurring radioactive gas, ionizing radiation emitted by the radon induces oxidative stress and the up-regulation of inflammatory proteins, which may cause lung damage or cancer. However, the underlying pathogenesis remains to be determined. Effector T helper cells are key in mediating the host's protection and immune homeostasis.

Polyphenol-mediated assembly of toll-like receptor 7/8 agonist nanoparticles for effective tumor immunotherapy.

Toll-like receptor (TLR) 7/8 agonists have shown significant potential in tumor immunotherapy. However, the limited pharmacokinetic properties and systemic toxicity resulting from off-target effects limits their biomedical applications. We here report the polyphenol-mediated assembly of resiquimod (R848, a TLR7/8 agonist) nanoparticles (RTP NPs) to achieve tumor-selective immunotherapy while avoiding systemic adverse effects.

A randomized comparison of bencycloquidium bromide, mometasone furoate and a combination for persistent allergic rhinitis.

Background: Moderate to severe persistent allergic rhinitis (AR) poses a substantial socioeconomic burden.

Objectives: We aimed to establish the superiority of bencycloquidium bromide (BCQB) nasal spray and BCQB combined with mometasone furoate nasal spray (MFNS) over MFNS alone in adults with moderate-to-severe persistent AR.

Methods: In this multicentre, randomised controlled clinical trial (NCT05038202), adults with moderate-to-severe persistent AR were randomly assigned to receive the BCQB, MFNS, or a combination treatment, for 4-week periods.

Wogonin effects on the efflux transporters BCRP and MRP2, explain its effectiveness in ulcerative colitis: implications for metabolic and transport interactions.

Wogonin is a flavonoid with efficacy in ulcerative colitis (UC), while the mechanism of its action remains to be fully elucidated. Previous research has indicated that the activation of the triple recycling pathway significantly enhances the bioavailability of flavonoids. The efflux transporters, BCRP and MRP2 are critical regulatory molecules within the enterohepatic triple recycling pathways.