Results 41 to 50 of about 510,563 (307)

The Role of Hematopoietic Cell Transplantation in Ataxia‐Telangiectasia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Ataxia‐telangiectasia (A‐T) is a DNA repair disorder characterized by neurodegeneration, immunodeficiency, and cancer predisposition. Hematopoietic cell transplantation (HCT) is an established therapy in related disorders such as Fanconi anemia (FA) and Nijmegen breakage syndrome (NBS), but its role in A‐T is unclear.
Laila Alkhouli   +3 more
wiley   +1 more source

Connectionism and psychological notions of similarity [PDF]

open access: yes, 1997
Kitcher (1996) offers a critique of connectionism based on the belief that connectionist information processing relies inherently on metric similarity relations. Metric similarity measures are independent of the order of comparison (they are symmetrical)
Thomas, Michael S.C.   +2 more
core  

Similarity-Based Virtual Screen Using Enhanced Siamese Deep Learning Methods

open access: yes, 2022
Traditional drug production is a long and complex process that leads to new drug production. The virtual screening technique is a computational method that allows chemical compounds to be screened at an acceptable time and cost. Several databases contain
Naomie Salim   +3 more
core   +1 more source

KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification

open access: yesFrontiers in Immunology
IntroductionIntegrating immune repertoire sequencing data with single cell sequencing data offers profound insights into the diversity of immune cells and their dynamic changes across various disease states.MethodsHere, we propose a novel KDDC framework ...
Nan Zhang   +7 more
doaj   +1 more source

A Two-Branch Convolution Residual Network for Image Compressive Sensing

open access: yesIEEE Access, 2020
Deep learning has made great progress in image compressive sensing (CS) tasks recently, and several CS models based on it have achieved superior performance. In practice, sensing the entire image requires huge memory and computational effort.
Chenquan Gan   +3 more
doaj   +1 more source

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho   +7 more
wiley   +1 more source

Fine-tuning structural RNA alignments in the twilight zone

open access: yes, 2010
Bremges A, Schirmer S, Giegerich R. Fine-tuning structural RNA alignments in the twilight zone. BMC Bioinformatics. 2010;11(1): 222.Background A widely used method to find conserved secondary structure in RNA is to first construct a multiple sequence ...
Bremges Andreas   +8 more
core   +1 more source

Establishing an Apheresis Medicine Program in a Resource‐Constrained Setting: A 5‐Year Experience From Lagos, Nigeria

open access: yesTherapeutic 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

On calculating structural similarity metrics in population-based structural health monitoring [PDF]

open access: yes
The newly introduced discipline of Population-Based Structural Health Monitoring (PBSHM) has been developed in order to circumvent the issue of data scarcity in “classical” SHM.
Brennan, D.S.   +3 more
core   +1 more source

Home - About - Disclaimer - Privacy