Research suggests long-term exposure to PM1 particulate matter increases risk of hypertension hospitalization, with significant effects observed for females and in areas exceeding air quality guidelines. The study's findings support the importance of controlling PM1 pollution and protecting vulnerable populations.
Scientists designed a chip that can control the terahertz band, enabling high-speed data transmission of up to 12 Gbps. The device utilizes synthetic topological phase transitions to manipulate channel functions.
Researchers developed a high-fidelity model to predict liquid film boiling heat transfer on various textured surfaces, agreeing well with experimental data. The model predicts both heat dissipation and surface temperature, guiding the design of new heat management surfaces for next-generation electronics.
Researchers have developed a novel photocatalyst that converts greenhouse gases into syngas with high efficiency, paving the way for greening the chemical industry. The breakthrough uses solar energy to achieve a syngas evolution rate of 180.9 mmol g cat-1 h-1 with 96.3% selectivity.
The article reviews static and dynamic approaches to adjust Schottky barrier height in semiconductor devices. Dynamic techniques include surface modification and external electric fields.
Researchers identified a critical interaction between endorepellin and neurexin that triggers neuroepithelial autophagy, maintaining normal neural tube development. This discovery provides a new paradigm for identifying pathogenic mutations for complex genetic disorders like NTDs.
Researchers developed a nano-IR contrast imaging method using surface phonon polaritons to enhance photoinduced dipole force on ultrathin samples. This technique offers improved sensitivity and contrast for sensitive nanoimaging of specific molecules.
A large-scale study examines regional variations in China's ACS patient management and outcomes, finding significant disparities in pre-hospital delay, medication use, and in-hospital outcomes. The National Chest Pain Center Program improves regional differences in in-hospital delays and invasive treatments.
A novel, fully-automated on-site CT-FFR technique demonstrates strong correlation with invasive FFR results for patients with coronary artery disease. The technique shows high sensitivity and specificity in identifying functional myocardial ischemia.
A new heat transfer model predicts liquid film boiling performance on various textured surfaces, guiding the design of high-performance cooling strategies. The model agrees well with experimental data and is expected to aid in devising advanced cooling technologies for next-generation electronics.
Researchers found improved spatial uniformity and strengthened Cooper pairing with δ-doped SrTiO3, leading to enlarged superconducting gaps and enhanced zero-resistance temperatures. Monolayer FeSe films exhibit reduced domain intensity and cooperative electron-phonon coupling.
Researchers develop fluorine-based elastomer with highest recorded puncture energy, high tensile strength, and excellent self-healing efficiency. The material enables the creation of anti-fouling triboelectric nanogenerators and healable conductive composites.
Researchers have developed a groundbreaking new design paradigm for smart fibrillar adhesives, surpassing the limits of traditional gecko-inspired designs. These innovative adhesives boast unprecedented strength, exceptional switchability, and scalability, enabling applications in robotics, manufacturing, and medicine.
The study presents a comprehensive microstructural landscape of six representative phases of amorphous carbons, including disordered graphene networks and diamond-like structures. The researchers developed a phase diagram and discovered a fitted power-law that regulates the microstructural stability of amorphous carbons.
DPABINet enables users to construct brain networks, conduct graph theory analysis, and perform statistical analysis with a single click, eliminating the need for programming expertise. The platform enhances brain structural network research derived from diffusion-weighted imaging, providing a robust analysis framework.
Researchers found that water erosion acts as a net sink of atmospheric CO2, offsetting horizontal soil organic carbon removal. The study suggests that ecological restoration projects and tillage practices can improve the capacity of the carbon sink for recovery beyond the rate of horizontal carbon removal.
This study analyzed over 10,000 microbiome samples from pregnant women worldwide to understand the complex relationships between the maternal microbiome and pregnancy complications. The research revealed patterns of microbial dysbiosis associated with pregnancy disorders and identified potential biomarkers for monitoring pregnancy health.
In K(NH3)2, researchers identified a quasi-2D spin-Peierls transition triggered by pressure-induced interstitial anionic electrons. The team also explored pressure effects on phonon and electronic properties, revealing a positive interplay between magnetic and Peierls instability.
The study identified macrophages as key players in heart failure, with differential expression of genes related to inflammation and fibrosis. A multi-biomarker profiling approach demonstrated promising potential as reliable indicators of cardiac inflammation.
New research finds massive carbon inputs from volcanism and seafloor spreading impacted climate change, with tropical climate processes regulating the marine carbon cycle. The study reveals a significant reversal of orbital phase relationships between the carbon cycle and climate change during the Miocene Climate Optimum.
A deep learning model estimates ages from non-registered 3D face point clouds using a proposed algorithm. The model recognizes rotational invariance and achieves high accuracy despite transforming faces without changing facial element positions.
Researchers developed swimming short fibrous nasal drops to deliver LRRK2 inhibitors directly to the brain, inhibiting microglial inflammation and improving synaptic plasticity. The treatment alleviated cognitive dysfunction caused by sepsis-associated encephalopathy.
Scientists Hai-Bin Yu and Konrad Samwer introduced a global order parameter to measure configuration variability in glassy materials. Their atomic simulations revealed a universal foundation for glassy relaxation, linking mechanical damping factor to intrinsic structure minimal displacement.
A new deep learning tool, DeepWMH, achieves high accuracy in segmenting white matter hyperintensities (WMHs) from imaging data. It outperforms existing methods by using anatomical knowledge and robust training strategies to accurately detect WMHs without requiring manual annotations.
The study predicts that QAHE can be achieved within a single material system composed of van der Waals coupled Bi and MnBi2Te4 monolayers by applying strain, magnetic field, or twisting the materials. This provides a practical material platform for topological electronics.
Researchers have discovered a new class of inorganic liquid crystals with high electric field responsivity, enabled by 2D ferroelectric materials. This breakthrough enables ultra-low operational electric fields and practical applications for electro-optical devices.
The conversion of CO2 into chemicals and fuels through direct hydrogenation is a recognized strategy for mitigating climate change. Copper-based catalysts have been investigated for CO2 hydrogenation, but their practical application faces challenges due to reduction and aggregation tendencies.
Research identifies tumor deposits as detrimental to CRC and GC patients' survival, emphasizing the need for thorough retrieval and aggressive adjuvant therapy. Preoperative detection methods are being developed using new imaging technologies and AI, aiming to improve early evaluation of tumors.
The team designed a full-parameter omnidirectional planar invisibility cloak composed of two homogeneous materials, achieving omnidirectional impedance matching and zero phase delay. The cloak demonstrated excellent invisibility performance in experimental verification, making it suitable for radar communication and bistatic detection.
Researchers use novel approach to characterize FRBs' behavior in time-energy phase space. They find FRBs exhibit lower chaos and higher randomness than earthquakes and solar flares, suggesting multiple emission mechanisms or locations.
This study found that STON2 variations contribute to synaptic dysfunction and schizophrenia-like behaviors in mice. The C-C haplotype of STON2 impairs clathrin-mediated endocytosis, affecting Syt1 interaction and neurotransmission. This could lead to therapeutic targets for treating schizophrenia.
Hybrid Neural Networks (HNNs) combine Spiking Neural Networks (SNNs) and Artificial Neural Networks (ANNs), leveraging the strengths of both to achieve better performance and cost balance. HNN models have been applied in various intelligent tasks and are expected to contribute further to the development of Artificial General Intelligence.
Researchers developed a bioinspired mechanical reinforcement strategy to improve polysaccharide-based membrane properties. The dual-scale network nanocomposite membrane exhibited excellent wet mechanical properties and good biological properties, indicating its large biomedical application potential.
This study proposes using SAR visual semantics to overcome challenges in TomoSAR, including incomplete building structures and large outliers. A three-level approach extracts low-, middle-, and high-level semantics, enabling efficient and realistic 3D modeling.
Researchers develop materiobiological approaches to rejuvenate aged bone by modulating biological functions through functionalized biomaterials. They establish a 'toolbox' of essential elements for material design and highlight the potential of artificial intelligence in accelerating aged bone regeneration.
The study introduces EPR-Net, a deep learning method that effectively characterizes Waddington landscapes in high-dimensional systems. It leverages the negative gradient of Waddington landscape to an extended Helmholtz decomposition, providing a breakthrough insight into non-equilibrium systems.
A new algorithm, developed by Prof. Linyuan Lü and Dr. Manuel S. Mariani, challenges the long-standing paradigm that network hubs are effective information spreaders. The research shows that users' behavioral traits provide more accurate early indicators of their spreading ability than their position in the social network.
This study reveals that LSD1 coordinates with FSH to promote antral follicle formation in mice by repressing Atg16l2, which inhibits autophagy. LSD1 also suppresses FSH responsiveness through Wt1 repression in granulosa cells.
China's karst inorganic carbon storage plays a significant role in mitigating climate change, with a calculated Concentration and Storage of Carbonate Sink Form (CCSF) of 22.76 t CO2 km-2 a-1. The CCSF varies by region, with higher values in the southern karst area due to high water and heat flux.
Researchers successfully synthesized a one-dimensional carbon chain on the Au(111) surface, characterized by bond-resolved atomic force microscopy. The polyynic nature of the carbon chain was unambiguously revealed, and its electronic properties were studied using scanning tunnelling spectroscopy, exhibiting a band gap of 5.8 eV.
Researchers developed a new method to measure bias distribution in two-electrode PEC cells, revealing that OER half-reaction is not always the rate-limiting factor. By tuning electrolyte pH and coupled half-reactions, they adjusted bias distribution and proposed a descriptor for designing efficient PEC cells.
Researchers analyzed over 5,000 metagenomic samples from 60 cities worldwide to understand the landscape of global urban environmental resistome. The study found significant regional specificity in antibiotic resistance and a positive correlation with antibiotic consumption.
A single-cell profile of cardiac immune cells reveals diverse types of infiltrating immune cells and their dynamic changes in response to myocardial ischemia-reperfusion injury (MIRI). A novel cardio-protective neutrophil subtype, Ym-1hi Neu, is identified with therapeutic potential.
Researchers have discovered two sex pheromone receptors in male American cockroaches that respond to female pheromones PA and PB. The study reveals a complex mechanism where these pheromones interact with specific olfactory receptors to regulate courtship and mating behavior.
Researchers investigated the effect of precise molecular structure on organic electrode performance, finding that a specific isomer had higher capacity and better rate capability due to reduced steric hinderance. This work demonstrates molecule-level precise structure regulation for improving organic energy storage.
Chinese scientists have discovered the spinning mechanism of silkworms, revealing that metal ions and pH gradients play a crucial role in forming highly ordered molecular alignments. This discovery could lead to the development of superfibers with higher strength and toughness.
A novel portable IOP tonometer utilizes a displacement-pressure biparametrically regulated softness sensory system to accurately assess eyeball pressure. The device, costing $200, surpasses commercial alternatives in accuracy and low cost, offering a high-comfort solution for IOP monitoring.
Researchers discovered a new method to boost thermopower in PEDOT:PSS films by manipulating polaron interfacial entropy using UV light. This increases the material's Seebeck coefficient and enhances its thermoelectric performance.
The study reveals that natural (-)-morphine binds to the μ-opioid receptor (MOR) in its activated state, resulting in pain relief. Conversely, (+)-morphine fails to sustain MOR's activation, with (-)-morphine demonstrating a longer residence time in MOR by a factor of 8,000.
Researchers successfully synthesized quantum dots in the nucleus of live cells by regulating glutathione levels, a breakthrough that could enable the production of inorganic nanomaterials. This achievement addresses the current limitations in synthetic biology and opens new possibilities for producing nanodrugs and nanorobots.