Results 51 to 60 of about 1,619,215 (233)
Bishop-Phelps Theorem for Normed Cones
Introduction In the last few years there is a growing interest in the theory of quasi-metric spaces and other related structures such as quasi-normed cones and asymmetric normed linear spaces, because such a theory provides an important tool in the study
Ildar Sadeghi, Ali Hassanzadeh
doaj
The Strong Ekeland Variational Principle in Quasi-Pseudometric Spaces
Roughly speaking, Ekeland’s Variational Principle (EkVP) (J. Math. Anal. Appl. 47 (1974), 324–353) asserts the existence of strict minima of some perturbed versions of lower semicontinuous functions defined on a complete metric space.
Ştefan Cobzaş
doaj +1 more source
StackingNet: Collective Inference Across Independent AI Foundation Models
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li +4 more
wiley +1 more source
Phase‐Dependent Oxygen Defect Energetics in Epitaxial NbN/AlN/NbN Films
Phase dependent oxygen defect energetics in epitaxial δ‐NbN/AlN/δ‐NbN and β‐Nb2N/AlN/β‐Nb2N trilayers. Atomic‐scale analysis and first‐principles calculations reveal distinct oxygen incorporation pathways across NbN polymorphs. Layer resolved defect formation energies show that O is energetically more favorable within δ‐NbN electrodes, whereas in β ...
Prachi Garg +10 more
wiley +1 more source
Ni‐intercalated graphene on SiC is achieved through a scalable colloidal nanoparticle deposition route. 2D heterostructures show preserved graphene band structure, stable under ambient conditions, and robust interfacial magnetism. Intercalated 2D Ni represents a promising candidate for next‐generation spintronic devices and is a scalable pathway to ...
Ylea Vlamidis +7 more
wiley +1 more source
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia +4 more
wiley +1 more source
Bounding the Čebyšev Functional for Sequences of Vectors in Normed Linear Spaces [PDF]
Some new bounds for Čebyšev functional for sequences of vectors in normed linear spaces are pointed ...
Dragomir, Sever S
core +5 more sources
Tikhonov well-posedness and differentiability on asymmetrically normed spaces
On normed vector spaces there is a well-known connection between the Tikhonov well-posedness of a minimisation problem and the differentiability of an associated convex conjugate function. We show how this duality naturally generalises to the setting of asymmetrically normed spaces and prove a universal differentiability property of the convex ...
Jan Fischer, Jobst Ziebell
openaire +2 more sources
Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks
Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley +1 more source
Ferroionic Electrostatic Landscapes Enabling Wireless Energy Harvesting, Storage, and Sensing
By integrating experiments and electrostatic field simulations, we show that long‐range wireless coupling in Li‐based ferroionics devices emerges from the cooperative interaction between ionic migration and electronic polarization. This coupling sustains self‐polarized electrostatic fields across centimeter‐scale air gaps without external bias or ...
M. Helena Braga +7 more
wiley +1 more source

