Results 51 to 60 of about 67,035 (253)

Astrocyte Enrichment of 3D Cortical Constructs Enhances Brain Repair

open access: yesAdvanced Science, EarlyView.
This study highlights the role of astrocytes in supporting neural progenitor cell survival and differentiation after traumatic brain injury. Astrocytes enhanced neuronal differentiation, improved cell survival in co‐cultures, and promoted integration of microfluidics‐based implants with host tissue following implantation. Additionally, increased axonal
Elisa M. Cruz   +20 more
wiley   +1 more source

Transparent Transfer‐Free Ultrasmall Multilayer Graphene Microelectrodes Enable High Quality Recordings in Brain Slices

open access: yesAdvanced Science, EarlyView.
A transfer‐free fabrication method enables multilayer graphene microelectrodes as small as 10 µm, eliminating reliability issues of manual graphene transfer. These electrodes record neural activity in brain slices with exceptional signal‐to‐noise ratios (up to 25–40 dB) while maintaining optical transparency for multimodal applications.
Nerea de Alvarez de Eulate   +7 more
wiley   +1 more source

Multifractality and autoregressive processes of dry spell lengths in Europe: an approach to their complexity and predictability [PDF]

open access: yes, 2017
Dry spell lengths, DSL, defined as the number of consecutive days with daily rain amounts below a given threshold, may provide relevant information about drought regimes.
Burgueño Rivero, August   +3 more
core   +2 more sources

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

open access: yesAdvanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong   +7 more
wiley   +1 more source

Improved prediction of soil shear strength using machine learning algorithms: interpretability analysis using SHapley Additive exPlanations

open access: yesFrontiers in Earth Science
The soil’s shear strength is an important parameter that is used frequently throughout the design phase of construction. The conventional method of calculating shear strength in a laboratory is more expensive and time-consuming.
Mahmood Ahmad   +8 more
doaj   +1 more source

Training Methods for Image Noise Level Estimation on Wavelet Components

open access: yesEURASIP Journal on Advances in Signal Processing, 2004
The estimation of the standard deviation of noise contaminating an image is a fundamental step in wavelet-based noise reduction techniques. The method widely used is based on the mean absolute deviation (MAD).
A. De Stefano   +2 more
doaj   +1 more source

OPTIMASI PORTOFOLIO SAHAM MENGGUNAKAN SEPARABLE PROGRAMMING [PDF]

open access: yes, 2018
Permasalahan optimasi adalah permasalahan menemukan kondisi dimana fungsi tujuan mencapai nilai maksimum atau minimum. Permasalahan optimasi dapat diterapkan dalam masalah nyata dalam kehidupan manusia.
Musthofa, Musthofa   +1 more
core  

APPLYING MEAN ABSOLUTE DEVIATION (MAD) FOR LATENCY BASED TRAFFIC ENGINEERING [PDF]

open access: yes, 2021
Latency variation measurements are critical for low latency applications, as are often utilized for Third Generation Partnership Project (3GPP) Fifth Generation (5G) network environments.
Kumar, Praveen, Sood, Navdeep
core   +1 more source

Microglial GPR35 Ameliorates Epileptogenesis and Neuroinflammation via PDGFA Domain 2 Signaling

open access: yesAdvanced Science, EarlyView.
Activation of microglial G protein–coupled receptor 35 (GPR35) by L‐kynurenic acid (L‐Kyna) initiates a platelet‐derived growth factor A (PDGFA)–dependent phosphoinositide 3‐kinase–protein kinase B (PI3K–AKT) signaling cascade that dampens hippocampal neuroinflammation, thereby restraining epileptogenesis, lowering seizure susceptibility, and ...
Qi Wang   +17 more
wiley   +1 more source

Automated detection of atrial fibrillation using RR intervals and multivariate-based classification [PDF]

open access: yes, 2016
Automated detection of AF from the electrocardiogram (ECG) still remains a challenge. In this study, we investigated two multivariate-based classification techniques, Random Forests (RF) and k-nearest neighbor (k-nn), for improved automated detection of ...
Bond, Raymond R.   +5 more
core   +1 more source

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