Reduced Muscular Carnosine in Proximal Myotonic Myopathy—A Pilot 1H‐MRS Study
ABSTRACT Objective Myotonic dystrophy type 2 (proximal myotonic myopathy, PROMM) is a progressive multisystem disorder with muscular symptoms (proximal weakness, pain, myotonia) and systemic manifestations such as diabetes mellitus, cataracts, and cardiac arrhythmias.
Alexander Gussew +11 more
wiley +1 more source
New Bandwidth Selection for Kernel Quantile Estimators
We propose a cross-validation method suitable for smoothing of kernel quantile estimators. In particular, our proposed method selects the bandwidth parameter, which is known to play a crucial role in kernel smoothing, based on unbiased estimation of a ...
Ali Al-Kenani, Keming Yu
doaj +1 more source
Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian +4 more
wiley +1 more source
Adiabaticity Engineered Silicon Polarization Independent 3-dB Coupler for the O-Band
We demonstrate a compact and broadband polarization independent 3-dB coupler for the O-band on silicon-on-insulator platform. Using the multi-parameter adiabaticity engineering protocol, unwanted coupling between eigenmodes in mode evolution couplers are
Hung-Ching Chung +4 more
doaj +1 more source
Power spectrum analysis of staggered quadriphase-shift-keyed signals [PDF]
Mathematical analysis of power spectrum of outputs from high-reliability communication system is used to determine system bandwidth. Analysis provides mathematical relationships of signal power spectrum at output of hard limiter for any type of baseband ...
Cartier, D. E., Mcwhorter, F. L.
core +1 more source
On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference
Nonparametric methods play a central role in modern empirical work. While they provide inference procedures that are more robust to parametric misspecification bias, they may be quite sensitive to tuning parameter choices.
Calonico, Sebastian +2 more
core +2 more sources
Few parameter method for bandwidth prediction of a fibre chain
To predict the bandwidth of a multimode fibre chain, we need other parameters for each section than just bandwidth. By measuring the bandwidth of the section in pair with a reference fibre, we can thus estimate the bandwidth compensation factor and the upper bandwidth limit.
P.M. Rodhe, M. Trikopoulos
openaire +1 more source
H.264/SVC parameter optimization based on quantization parameter, MGS fragmentation, and user bandwidth distribution [PDF]
In the situation of limited bandwidth, how to improve the performance of scalable video coding plays an important role in video coding. The previously proposed scalable video coding optimization schemes concentrate on reducing coding computation or trying to achieve consistent video quality; however, the connections between coding scheme, transmission ...
CHEN, Xu +4 more
openaire +1 more source
Process‐Informed Analysis of As‐Built Metal Additive Surface Features
This article introduces a novel method for feature‐based surface texture characterisation directly incorporating manufacturing variables into the feature extraction workflow. This marks a major step towards identifying process‐specific surface properties and their influence on part function and hence a holistic understanding of process–structure ...
Theresa Buchenau +5 more
wiley +1 more source
Optimal spectral bandwidth for long memory [PDF]
For long range dependent time series with a spectral singularity at frequency zero, a theory for optimal bandwidth choice in non-parametric analysis ofthe singularity was developed by Robinson (1991b).
Delgado, Miguel A., Robinson, Peter M.
core +1 more source

