Researchers developed a novel mosaic nanoparticle vaccine platform to overcome the mucus barrier challenge, inducing broad neutralizing effects against diverse coronaviruses. The approach breaks through respiratory physiological barriers to establish robust frontline defenses.
A closed-loop recycling system for spent cathode materials has been proposed, utilizing artificial intelligence to reduce waste and greenhouse gas emissions. The system uses precision recycling, enabling adaptive, data-informed decision-making throughout the battery life cycle.
A new open-source platform, PAMP, enables high-resolution morphological profiling of industrial fungi throughout their life cycle, uncovering quantitative relationships between fungal architecture and fermentation performance. The platform reveals that peripheral architectural features strongly influence citric acid production.
A comprehensive review article presents a detailed technical roadmap for resource recovery of cathode materials from spent lithium-ion batteries. The study highlights the need for green and low-carbon recycling technologies, with emerging methods like direct regeneration and novel green solvents showing promise.
The journal focuses on research related to turning solid wastes into useful ecomaterials, aiming to advance a zero-waste society. The editorial team accepts original research, reviews, and industry reports on solid waste valorization, including artificial intelligence and data-driven approaches.
A study found that coronaviruses hijack the host GBF1-ARF1-COPI pathway to utilize Golgi-derived membranes for promoting DMV formation. This mechanism was conserved across multiple coronaviruses, including SARS-CoV-2, and holds promise for therapeutic development against coronavirus infection.
A research team uses machine learning to regulate environmental processes, achieving precise and predictable remediation of polluted soil. This approach allows for the creation of high-performance charcoal-like substances from farm and forestry waste and polluted soil.
Researchers developed innovative mycelium-based composites using locally sourced fungal strains and lignocellulosic waste materials from Sri Lanka. The study introduces a sustainable approach to replacing synthetic protective packaging materials like expanded polystyrene, which are associated with significant environmental pollution.
Scientists identify key genes involved in lysine synthesis and virulence in Cryptococcus neoformans, a fungus that causes disease in humans. The study reveals the importance of de novo lysine synthesis for fungal virulence.
A modular reporter phage platform has been developed to rapidly detect multiple Klebsiella pneumoniae capsule types. The platform uses a NanoLuc luciferase reporter gene and demonstrates high sensitivity and specificity, with the ability to distinguish between live and dead bacteria.
Researchers discovered a novel spiroquinoxaline compound that inhibits Cryptococcus neoformans virulence and triggers lethal oxidative stress, offering a promising new lead for treating cryptococcal meningitis. The compound, B1, shows potent antifungal activity and induces cellular damage through oxidative stress-mediated mechanisms.
Researchers emphasize the importance of enhancing visual intelligence in autonomous robots to achieve complex tasks. Visual perception, decision-making, path planning, and control must be integrated for robots to perform reliably. The ultimate goal is to make robots have human-like intelligence and enable collaboration between robots.
Planted forests in China experience more frequent flash droughts than natural forests, averaging 7.05 events every five years. In contrast, natural forests face more slow droughts, with a 12% lower risk of prolonged droughts.
A new study uses machine learning to map tree density across Canada, the US, and Mexico, revealing regional patterns and estimated 339-514 billion trees, lower than previous estimates. The study also highlights the importance of forest definitions and tree-size thresholds in estimating tree abundance.
The novel plasmid pCM3 harbors the aph(3) gene, which encodes an aminoglycoside 3'-phosphotransferase conferring resistance to streptomycin in Clavibacter michiganensis. The study reveals a phosphorylation-driven resistance mechanism, with APH(3) phosphorylating streptomycin to ablate its inhibitory activity.
A new study evaluates four strategies for projecting tree diameters for rare species, finding that approaches incorporating species-level information produce more precise predictions. The researchers suggest a hybrid data grouping method with mixed modeling as particularly useful.
This study describes ten new species of Inocybe and a new record for China from the Gaoligong Mountains. The research team conducted detailed taxonomic and phylogenetic investigations using extensive field collections, morphological examinations, and molecular analyses.
Researchers developed engineered CAR-T cells that specifically degrade soluble TNF, preventing and treating all stages of RA in human TNF-transgenic mice. A single infusion provided sustained benefit without redosing or ADA risk, offering a promising alternative to chronic disease management.
Researchers explore aging-related remodeling of chromatin architecture to understand its connection to disease. The study reveals key senescence-related changes, including genomic instability and transcriptional dysregulation, which contribute to organismal aging and age-related diseases.
Fluconazole-resistant Candida auris benefits from zinc deficiency, exhibiting increased pathogenicity and resistance to macrophage-mediated killing. Suppression of ZCF4 enables the fungus to impede phagocytic clearance via suppression of MMP-9 activity.
Researchers identified CREP1, a pectinase-like effector protein from Fusarium lateritium, as a key regulator of plant immunity. CREP1 interacts with receptor protein NbEIX2 to activate immune responses, including ROS burst and cell death.
Research identifies a novel narnavirus, TmNV1, as a potent virulence attenuator in Talaromyces marneffei. Coinfection with TmPV1 amplifies hypovirulent phenotypes, reducing fungal burden and inflammation.
Researchers discovered that agricultural azoles induce cross-resistance to medical antifungals in Candida tropicalis by forming aneuploid karyotypes. This study highlights the critical role of agricultural azoles in clinical antifungal resistance and underscores the need for antifungal stewardship.
China lacks a dedicated regulatory framework for phage therapy, but recent policy signals encourage development of standards and approval pathways. A three-pillared approach recommends national quality guidelines, phase-appropriate GMP pilot programs, clear product classification, and regional centers with reimbursement mechanisms.
Researchers successfully upregulated Monascus pigments in Talaromyces purpurogenus OUCMDZ-019 by disrupting the Ash2 gene, revealing new insights into epigenetic regulation of fungal secondary metabolism. The team isolated and characterized 12 novel compounds with improved color value, bioactivity, and environmental stability.
A perspective paper on digital transportation explores its basic theories and proposed research directions. The author highlights the need for a comprehensive theoretical framework to guide the development of modern vehicles and digital transformation of transportation infrastructure.
Researchers developed a multi-physics machine learning framework that improves stress prediction accuracy by integrating electrical resistivity. The model achieved significant reductions in mean absolute error and improved coefficient of determination, making it a promising approach for real-time monitoring of compressive stress in UHPC.
This study investigates the effects of high-volume fly ash on early-age characteristics and hardening properties of concrete. The results show that fly ash can improve fresh concrete workability but delays setting time. However, moderate fly ash replacement achieves excellent long-term strength and stiffness.
A research team has developed a comprehensive dynamic Gaussian processing framework that provides a complete pipeline from data acquisition to practical application. The framework addresses the high storage cost and fragmented tool chain ecosystem associated with volumetric video technology.