Results 71 to 80 of about 174,940 (323)
Seamlessly Machine‐Knitted Multi‐Sensor Garment to Monitor and Quantify Dynamic Upper Body Movement
A seamlessly machine‐knitted multi‐sensor garment, that can detect multiplanar dynamic shoulder and elbow motion, is demonstrated. The garment has four strain sensors connected to a circuit board via flexible interconnects, with all components integrated into the fabric in a single manufacturing step.
Ying Yi Tan +6 more
wiley +1 more source
Comparison of hydrological model ensemble forecasting based on multiple members and ensemble methods
Ensemble hydrologic forecasting which takes advantages of multiple hydrologic models has made much contribution to water resource management. In this study, four hydrological models (the Xin’anjiang model (XAJ), Simhyd, GR4J, and artificial neural ...
Wang Jie +6 more
doaj +1 more source
CellPhenoX is an explainable machine learning framework that identifies cell‐specific phenotypes and interaction effects from single‐cell omics data. By leveraging interpretable models, it enables robust discovery of cell‐level phenotypes that contribute to clinical outcomes.
Jade Young +4 more
wiley +1 more source
A Note on the Difference of Powers and Falling Powers
Combinatorial sums and binomial identities have appeared in many branches of mathematics, physics, and engineering. They can be established by many techniques, from generating functions to special series.
Taoufik Sabar
doaj +1 more source
NEAT1 Promotes Epileptogenesis in Tuberous Sclerosis Complex
The primary neurological manifestations of tuberous sclerosis complex (TSC) are intractable epilepsy and intellectual disability. NEAT1 is differentially expressed in TSC‐related epilepsy and influences neuronal excitability by regulating the PI3K/AKT/mTOR signaling pathway.
Suhui Kuang +8 more
wiley +1 more source
Identifying Tipping Points during Healthy Brain Aging through Single‐Nucleus Transcriptomic Analysis
This study applies single‐nucleus transcriptomics and systems dynamics to uncover nonlinear aging patterns in healthy human brains. By introducing dynamic network biomarker theory, the authors identify a critical tipping point at ages 56–60 during aging, and highlight glial instability as a key mediator.
Peiru Wu +9 more
wiley +1 more source
Bernstein-type approximations of smooth functions
The Bernstein-type approximation for smooth functions is proposed and studied. We propose the Bernstein-type approximation with definitions that directly apply the binomial distribution and the multivariate binomial distribution.
Andrea Pallini
doaj +1 more source
Polynomial sequences of binomial-type arising in graph theory [PDF]
In this paper, we show that the solution to a large class of "tiling" problems is given by a polynomial sequence of binomial type. More specifically, we show that the number of ways to place a fixed set of polyominos on an $n\times n$ toroidal chessboard
Schneider, Jon
core
Repeated sums and binomial coefficients
Binomial coefficients have been used for centuries in a variety of fields and have accumulated numerous definitions. In this paper, we introduce a new way of defining binomial coefficients as repeated sums of ones. A multitude of binomial coefficient identities will be shown in order to prove this definition.
openaire +2 more sources

