Results 81 to 90 of about 4,971,844 (261)

Deep-learning based model for sperm morphology assessment using the SMD/MSS dataset

Future Science OA
Background Manual sperm morphology assessment is recognized as a challenging parameter to standardize due to its subjective nature, often reliant on the operator’s expertise. Our study aims to address this issue by developing a predictive model for sperm
Olfa Abdelkefi, Rania Maalej, Tarek Rebai, Afifa Sellami, Salima Daoud   +4 more
doaj   +1 more source

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

Dataset for Research on Lexical Borrowings in French

, 2010
Dataset of lexical borrowings obtained from a corpus of newspaper French (Le Monde; Abeille et al. 2003) as described in "Lexical Borrowings in French: Anglicisms as a separate phenomenon" and "Predicting new words from newer words: Lexical borrowings in
Chesley, Paula, Baayen, R. Harald
core  

Transformer Architectures for Distracted Driving Behavior Detection: A Comprehensive Review of Vision-Based Approaches

IEEE Open Journal of Intelligent Transportation Systems
Distracted driving is a leading cause of road accidents, with visual and manual distractions being particularly prevalent. Traditional computer vision methods, particularly Convolutional Neural Networks (CNNs), have been extensively utilized for ...
Muhammad Fawzan Anwari Muhammad Saiful Anuar, Fadhlan Hafizhelmi Kamaru Zaman, Syahrul Afzal Bin Che Abdullah, Kok Mung Ng, Kanendra Naidu Vijyakumar, Shyh Kang Ng   +5 more
doaj   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

Molecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

Friendster Dataset

, 2022
Friendster ...
Friendster Dataset
core   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Orkut Dataset

, 2022
Orkut ...
Orkut Dataset
core   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

LiveJournal Dataset

, 2022
LiveJournal ...
LiveJournal Dataset
core   +1 more source