Results 51 to 60 of about 31,766 (124)

Emergent role of dynamic optimization in cardiac resynchronization therapy: Systematic review and network meta‐analysis

ESC Heart Failure, Volume 11, Issue 6, Page 4046-4060, December 2024.
In our study, we analyzed data from 17 studies on different cardiac resynchronization therapy optimization techniques within a network meta‐analysis. Dynamic algorithms showed superior outcomes, including higher echocardiographic response rates, lower heart failure hospitalization rates, and greater six‐minute walk test improvement compared to ...
Előd‐János Zsigmond, Richárd Masszi, Réka Ehrenberger, Caner Turan, Péter Fehérvári, Noémi Gede, Péter Hegyi, Zsolt Molnár, Domonkos Trásy, Gábor Zoltán Duray   +9 more
wiley   +1 more source

Laurent expansions of meromorphic modular forms

Journal of the London Mathematical Society, Volume 110, Issue 6, December 2024.
Abstract In this paper, we study the Laurent coefficients of meromorphic modular forms at complex multiplication points by giving two approaches of computing them. The first is a generalization of the method of Rodriguez‐Villegas and Zagier, which expresses the Laurent coefficients as constant terms of a family of polynomials obtained through recursion.
Gabriele Bogo, Yingkun Li, Markus Schwagenscheidt   +2 more
wiley   +1 more source

Dissociable Contributions of Goal‐Relevant Evidence and Goal‐Irrelevant Familiarity to Individual and Developmental Differences in Conflict Recognition

Cognitive Science, Volume 48, Issue 11, November 2024.
Abstract Recent studies using the diffusion decision model find that performance across many cognitive control tasks can be largely attributed to a task‐general efficiency of evidence accumulation (EEA) factor that reflects individuals’ ability to selectively gather evidence relevant to task goals.
Alexander Weigard, Takakuni Suzuki, Lena J. Skalaban, May Conley, Alexandra O. Cohen, Hugh Garavan, Mary M. Heitzeg, B. J. Casey, Chandra Sripada, Andrew Heathcote   +9 more
wiley   +1 more source

A note on the mean value of the general Kloosterman sums [PDF]

Czechoslovak Mathematical Journal, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

On the general Kloosterman sum and its fourth power mean

Journal of Number Theory, 2004
Let \(q \geq 3\) be a positive integer and let \(\chi\) denote a Dirichlet character mod \(q\). For any integers \(m\) and \(n\), the general Kloosterman sum \(S(m ,n , \chi ; q)\) is defined as follows: \[ S(m,n, \chi ; q) = \mathop{{\sum}^*}_{a=1}^q \chi(a) e\left(\frac {ma+n \overline{a}}{q} \right), \] where \(e(y) = e^{2 \pi i y}\) and \(\sum ...
openaire   +2 more sources

Recursive formulas generating power moments of multi-dimensional Kloosterman sums and $m$-multiple power moments of Kloosterman sums

, 2009
In this paper, we construct two binary linear codes associated with multi-dimensional and $m -$multiple power Kloosterman sums (for any fixed $m$) over the finite field $\mathbb{F}_{q}$. Here $q$ is a power of two. The former codes are dual to a subcode of the binary hyper-Kloosterman code. Then we obtain two recursive formulas for the power moments of
openaire   +3 more sources

Awake Hippocampal-Cortical Co-reactivation Is Associated with Forgetting. [PDF]

J Cogn Neurosci, 2023
Tanrıverdi B, Cowan ET, Metoki A, Jobson KR, Murty VP, Chein J, Olson IR.   +6 more
europepmc   +1 more source

Uncovering spatial representations from spatiotemporal patterns of rodent hippocampal field potentials. [PDF]

Cell Rep Methods, 2021
Cao L, Varga V, Chen ZS.
europepmc   +1 more source

On the fourth power mean of the analogous general Kloosterman sum

Journal of Number Theory, 2016
The authors study generalized Kloosterman sums \[ C(m,n,k,\chi;q)= \sum_{a=1}^{q}\chi(a)e\left(\frac{m\bar a^k+na}{q }\right), \] where \(q\), \(m\), \(n\), \(k\) are given positive integers, \(q \geq 3\), \(e(x)=e^{2\pi i x}\), \(a\bar a\equiv 1\pmod{q}\) and \(\chi\) is a character \(\mod{q}\).
Chen, Hui, Zhang, Tianping
openaire   +2 more sources

Navigating the Statistical Minefield of Model Selection and Clustering in Neuroscience. [PDF]

eNeuro, 2022
Király B, Hangya B.
europepmc   +1 more source