Results 31 to 40 of about 21,585 (298)
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
A Compute-in-Memory Decoding Architecture for Posit-to-Floating-Point Conversion
IEEE AccessModern computing systems are increasingly adopting low-precision floating-point formats to reduce memory overhead, particularly in large-scale applications such as large language models and scientific computing.
Jae Hyung Ko +3 more
doaj +1 more source
DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training
IEEE Open Journal of the Solid-State Circuits Society, 2022 On-chip deep neural network (DNN) inference and training at the Extreme-Edge (TinyML) impose strict latency, throughput, accuracy, and flexibility requirements.
Angelo Garofalo +7 more
doaj +1 more source
Molecular Oncology, EarlyView.Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
IEEE AccessAccuracy in floating-point computations is critical for reliable software, especially in systems where precision impacts safety and performance. Inaccuracies from rounding errors and precision loss can lead to significant issues in applications like ...
M. G. Thushara, K. Somasundaram
doaj +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Genetic Algorithms in Application to the Geometry Optimization of Nanoparticles
Algorithms, 2009 Applications of genetic algorithms to the global geometry optimization problem of nanoparticles are reviewed. Genetic operations are investigated and importance of phenotype genetic operations, considering the geometry of nanoparticles, are mentioned ...
Nazım Dugan, Şakir Erkoç
doaj +1 more source
Towards Verified, Constant-time Floating Point Operations [PDF]
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018 The runtimes of certain floating-point instructions can vary up to two orders of magnitude with instruction operands, allowing attackers to break security and privacy guarantees of real systems (\eg browsers). To prevent attacks due to such floating-point timing channels, we introduce CTFP, an efficient, machine-checked, and extensible system that ...
Marc Andrysco +4 more
openaire +1 more source
Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis
FEBS Open Bio, EarlyView.Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho +4 more
wiley +1 more source
CM-Unet: A Novel Remote Sensing Image Segmentation Method Based on Improved U-Net
IEEE Access, 2023 Semantic segmentation is an active research area for high-resolution (HR) remote sensing image processing. Most existing algorithms are better at segmenting different features.
Mengtian Cui +3 more
doaj +1 more source