Results 41 to 50 of about 675 (261)
Contributions of late-type dwarf stars to the soft X-ray diffuse background
Comprehensive calculations of the contribution of late-type dwarf stars to the soft X-ray diffuse background are presented. The mean X-ray luminosity as derived from optically and X-ray selected samples is examined, using the Bahcall-Soneira Galaxy model to describe the spatial distribution of stars and recent results on the X-ray spectra.
J. H. M. M. Schmitt, S. L. Snowden
openaire +1 more source
ABSTRACT Gliomas have undergone a profound redefinition over the past decade, transitioning from morphology‐based entities to biologically coherent diseases defined by molecular alterations. The 2021 WHO Classification of Tumors of the Central Nervous System and its 2022 update formalize this shift, establishing integrated diagnosis as the global ...
Maria Guarnaccia, Sebastiano Cavallaro
wiley +1 more source
On the Possibility of an Upper Limit on Magnetically Induced Radius Inflation in Low-mass Stars
The radii of low-mass stars are observed to be inflated above standard model predictions, especially in magnetically active stars. Typically, the empirical relative radius inflations Δ R / R are ≤10% but in (rare) cases may be ≥20%.
J. MacDonald, D. J. Mullan
doaj +1 more source
Lipoprotein‐mimicking nanoparticles (SL‐NPs), comprising Fe3O4@SiO2 cores coated with liposomal bilayers, selectively capture lipoproteins through protein corona formation. The resulting SL‐NP‐lipoprotein complexes can be removed by low‐speed centrifugation, thereby enhancing the purity of small extracellular vesicles (sEVs) isolated from human serum ...
Man‐Di Wang +7 more
wiley +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Friend, Not Foe: Lowered Tissue Reactivity to Long‐Term Polyimide Implants
The choice of optimal neural probe designs remains a major challenge in the field of neurotechnology. This study investigated the biocompatibility of several probe variations, including material, thickness, width, and implantation strategy. It highlights the clear advantage of soft polyimide probes over stiff silicon probes for better device ...
Corinne Orlemann +11 more
wiley +1 more source
Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley +1 more source
SiDT1 Defines Plant Architecture Reminiscent of Green Revolution in Foxtail Millet
SiDT1 encodes a GA3‐oxidase that creates a semi‐dwarf, lodging‐resistant architecture reminiscent of the rice Green Revolution. The resulting ideotype performs well under dense planting and provides a valuable genetic resource for high‐yield, mechanized foxtail millet production. ABSTRACT Foxtail millet (Setaria italica) is a drought‐tolerant C4 cereal
Jianzhen Lv +13 more
wiley +1 more source
ABSTRACT Amplification‐free Cas12a diagnostics with split crRNA enable rapid and programmable target recognition, yet insufficient understanding of DNA activator architecture prevents predictable control over trans‐cleavage activity and sensitivity. Here we systematically map over 200 split DNA activator configurations by introducing nicks at every ...
Xiaoyan Tang +8 more
wiley +1 more source
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source

