Results 131 to 140 of about 24,143 (297)

DTA simulation with reduced number of iterations [Elektronisk resurs]

, 2018
An iterated (day-to-day) dynamic traffic assignment (DTA) is considered. In each iteration, a certain fraction of the total travel demand adjusts its travel pattern before the entire demand is loaded onto the (congested) network.
Flötteröd, Gunnar,
core  

Artificial intelligence for detection and segmentation of accessory root canals in endodontic imaging: A systematic review

European Journal of Oral Sciences, EarlyView.
Abstract Accessory root canal anatomy, including second mesiobuccal (MB2) and middle mesial canals (MMC), is difficult to identify and may compromise endodontic outcomes when missed, supporting artificial intelligence (AI)‐based diagnostic tools. This systematic review (CRD420261415943) included studies evaluating AI models for accessory canal or root ...
Hugo Henrique dos Santos Dantas Guimarães, Karla Nogueira Matos   +1 more
wiley   +1 more source

HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction

Drug target binding affinity (DTA) is a key criterion for drug screening. Existing experimental methods are time-consuming and rely on limited structural and domain information.
Xie, Jiacheng, Chen, Gaofei, Wang, Tianyang, Li, Zhengji, Xu, Min, Xiao, Xi, Wang, Wentao, Zhu, Lijing   +7 more
core  

Arsenite methyltransferase 3 is required for mitochondrial function and hepatic lipid metabolism

The FEBS Journal, EarlyView.
AS3MT is a protein that helps the body process arsenic, a naturally occurring toxin found in water and soil. We discovered it also helps cells make and use energy properly. Without AS3MT, cells' mitochondria do not work well, leading to fatty liver and reduced activity. Increasing AS3MT in liver cells restores energy and protects against arsenic damage,
Patrice Delaney, James Griffin, Nouf Khan, Balnur Ibrash, Matthew J. O'Connor, Tomas Venit, Elizabeth Mayela Ambrosio, Spiros A. Pergantis, Elke Ober, Piergiorgio Percipalle, Kirsten C. Sadler   +10 more
wiley   +1 more source

Deep Learning Models for Detection of Periapical Radiolucent Lesions on Panoramic Radiographs: A Systematic Review and Meta‐Analysis

International Endodontic Journal, EarlyView.
ABSTRACT Background Panoramic radiographs are used routinely to screen dental conditions and treatment patterns. Recently, numerous studies have suggested that deep learning (DL) models can be utilized for analysing panoramic radiographs. Objective This review aimed to evaluate the accuracy of DL models in detecting periapical radiolucent lesions (PRLs)
Ibrahim Ali Ahmad, Raidan Ba‐Hattab, Sadeq Ali Al‐Maweri, Faleh Tamimi   +3 more
wiley   +1 more source

Investigation of Titanium Hydride Produced from Titanium Waste

The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science, 2010
The work presents an original method for titanium hydride production by hydrogenation and dehydrogenation of titanium waste in a specially designed for this purpose vacuum chamber.
Yavor LUKARSKI, Jordan GEORGIEV, Lubomir ANESTIEV, Rositsa GAVRILOVA, Simona BEJAN   +4 more
doaj  

Clonal Hematopoiesis and CAR T Cell Therapy: From Biological Crosstalk to Clinical Implications

International Journal of Laboratory Hematology, EarlyView.
ABSTRACT Clonal hematopoiesis (CH) is increasingly recognized as a significant biological phenomenon in aging and cancer, marked by the expansion of hematopoietic stem and progenitor cells harboring somatic mutations in genes associated with myeloid neoplasms.
Wei Du, Shunsuke Koga, Guang Yang, Saar Gill, Adam Bagg   +4 more
wiley   +1 more source

How to Demonstrate Trustworthy Use of AI in Public Services: A Case Study

Information Systems Journal, EarlyView.
ABSTRACT Government leaders across the globe are grappling with how to harness and integrate artificial intelligence (AI) to enhance public service delivery and efficiency. Yet, a key challenge faced is how to build and maintain the trust of stakeholders. Trust is critical for the acceptance and sustained adoption of AI technologies, as well as to gain
Natalie Smith, Nicole Gillespie, Tapani Rinta‐Kahila, Steven Lockey, Javad Pool, Caitlin Curtis   +5 more
wiley   +1 more source

KG-DTA: A knowledge graph-based meta-path learning framework to predict drug-target binding affinity

Drug target affinity (DTA) prediction is essential at different phases of drug discovery and virtual drug screening. However, traditional wet lab experiments are time and resource-intensive owing to the complex interactions within the vast biological and
Alvin, Chris, Rajasekaran, Magesh, Ranjan, Amit, Mukhopadhyay, Supratik, Bess, Adam, Sajol, Md Saiful Islam   +5 more
core   +1 more source

Improving Digital Transformation Outcomes and Pace: The Role of the Board and C‐Suite in Reducing Transformation Friction

Information Systems Journal, EarlyView.
ABSTRACT Most organisations are confronting a dilemma: the need to embark on digital transformation to be competitive and sustainable versus the inherently high costs and extremely high risks involved. Lack of executive support has long been identified as a leading cause of project failure, including digital transformation projects.
Natalie Smith, Andrew Burton‐Jones
wiley   +1 more source