Results 71 to 80 of about 10,724 (253)

Ultrafast visual detection of Streptococcus suis via HtpsC‐targeted LAMP–CRISPR–Cas12a coupled with lateral flow immunochromatography

open access: yesFEBS Open Bio, EarlyView.
A rapid visual test combines DNA amplification, CRISPR–based target verification, and a lateral flow strip to detect Streptococcus suis. The assay gives results in about 45 min, reduces false‐positive interpretation, and does not require fluorescence equipment.
Liu‐xin Li   +7 more
wiley   +1 more source

On the Impact of Some Fixed Point Theorems on Dynamic Programming and RLC Circuit Models in R-Modular b-Metric-like Spaces

open access: yesAxioms
In this study, we significantly extend the concept of modular metric-like spaces to introduce the notion of b-metric-like spaces. Furthermore, by incorporating a binary relation R, we develop the framework of R-modular b-metric-like spaces.
Ekber Girgin   +3 more
doaj   +1 more source

MACKAY FUNCTIONS AND EXACT CUTTING IN SPACES OF MODULAR FORMS

open access: yesVestnik of Samara University. Natural Science Series, 2017
In the article we consider structure problems in the theory of modular forms. The phenomenon of the exact cutting for the spaces Sk(0(N), ), where is a quadratic character with the condition (1) = = (1)k . We prove that for the levels N ̸= 3, 17, 19 the cutting function is a multiplicative etaproduct of an integral weight.
openaire   +2 more sources

Analyticity and polynomial approximation in modular function spaces

open access: yesJournal of Approximation Theory, 1989
Let E be a compact subset of \(C^ n\) and let \(L_ p\) be a modular functions space. The authors study the problem of analytic extension of \(f\in L_ p\) to a holomorphic function by means of polynomial approximations. The class of modular functions studied here is a large one that contains Orlicz spaces.
Kozlowski, Wojciech M.   +1 more
openaire   +2 more sources

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu   +21 more
wiley   +1 more source

Eichler–Selberg relations for singular moduli

open access: yesForum of Mathematics, Sigma
The Eichler–Selberg trace formula expresses the trace of Hecke operators on spaces of cusp forms as weighted sums of Hurwitz–Kronecker class numbers. We extend this formula to a natural class of relations for traces of singular moduli, where one views ...
Yuqi Deng, Toshiki Matsusaka, Ken Ono
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio   +8 more
wiley   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Koreksi pada artikel Hayati dkk.: Teori Titik Tetap untuk Tipe Kannan yang Diperumum dalam Ruang b-Metrik Modular Lengkap

open access: yesJambura Journal of Mathematics
This article is a commentary on research that is conducted by Hayati et al. which was published in Jambura Journal of Mathematics volume 5 number 2 in 2023.
Afifah Hayati, Noor Sofiyati
doaj   +1 more source

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