Results 81 to 90 of about 1,818,152 (349)

A Comparative Study of Cerebral Oxygenation During Exercise in Hemodialysis and Peritoneal Dialysis Patients

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou, Konstantina Dipla, Danai Faitatzidou, Fotini Iatridi, Areti Georgiou, Artemios Karagiannidis, Erasmia Sampani, Chrysostomos Dimitriadis, Aggelos Koutlas, Andreas Zafeiridis, Pantelis Sarafidis   +10 more
wiley   +1 more source

Modeling Local Demand for Mobile Spectrum: An Interpretable Machine Learning Approach

IEEE Open Journal of the Communications Society
With the expansion of 5G networks and the ongoing development of future 6G networks, the demand for mobile spectrum is expected to continue to grow, particularly at a local level.
Janaki Parekh, Elizabeth Yackoboski, Amir Ghasemi, Halim Yanikomeroglu   +3 more
doaj   +1 more source

Exploring information processing as a new research orientation beyond cognitive operations and their management in interpreting studies: taking stock and looking forward [PDF]

, 2023
Binhua Wang
openalex   +1 more source

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül, Neriman Sıla Koç, Berrak Itır Aylı   +2 more
wiley   +1 more source

Being confident in confidence scores: calibration in deep learning models for camera trap image sequences

Remote Sensing in Ecology and Conservation
In ecological studies, machine learning models are increasingly being used for the automatic processing of camera trap images. Although this automation facilitates and accelerates the identification step, the results of these models may lack ...
Gaspard Dussert, Simon Chamaillé‐Jammes, Stéphane Dray, Vincent Miele   +3 more
doaj   +1 more source

Interpretable Chinese Fake News Detection With Chain-of-Thought and In-Context Learning

IEEE Access
The spread of fake news through on-line platforms poses a significant threat to public trust and social stability, especially in resource-constrained Chinese domains.
Bingyi Liu, Anqi Wang, Chengqian Xia
doaj   +1 more source

Re-interpreting interpreting

Translation Studies, 2023
The abstract is available here: https://uscholar.univie.ac.at/o ...
openaire   +1 more source

Increasing stability and interpretability of gene expression signatures

, 2010
Motivation : Molecular signatures for diagnosis or prognosis estimated from large-scale gene expression data often lack robustness and stability, rendering their biological interpretation challenging.
Haury, Anne-Claire, Jacob, Laurent, Vert, Jean-Philippe   +2 more
core   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

FEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

Towards Explainable Pedestrian Behavior Prediction: A Neuro-Symbolic Framework for Autonomous Driving

Applied Sciences
In the context of autonomous driving, predicting pedestrian behavior is a critical component for enhancing road safety. Currently, the focus of such predictions extends beyond accuracy and reliability, placing increasing emphasis on the explainability ...
Angie Nataly Melo Castillo, Carlota Salinas Maldonado, Miguel Ángel Sotelo   +2 more
doaj   +1 more source