Integrating asthma care guidelines into primary care electronic medical records: a review focused on Canadian knowledge translation tools by Matheson McFarlane, Alison Morra, M. Diane Lougheed

“…Various KT eTools have been validated, many with optimisation for use in EMRs. KT eTools within EMRs have been a recent focus, including asthma management systems, decision support algorithms, data standards initiatives and asthma case definition validation for EMRs. …”
Get full text

Cross-Scene Multi-Object Tracking for Drones: Leveraging Meta-Learning and Onboard Parameters with the New MIDDTD by Chenghang Wang, Xiaochun Shen, Zhaoxiang Zhang, Chengyang Tao, Yuelei Xu

“…Multi-object tracking (MOT) is a key intermediate task in many practical applications and theoretical fields, facing significant challenges due to complex scenarios, particularly in the context of drone-based air-to-ground military operations. …”
Get full text

Machine Learning Modeling of Disease Treatment Default: A Comparative Analysis of Classification Models by Michael Owusu-Adjei, James Ben Hayfron-Acquah, Frimpong Twum, Gaddafi Abdul-Salaam

“…Sadly, its occurrence in chronic disease management is associated with high morbidity and mortality rates. Many reasons have been adduced for this phenomenon. …”
Get full text

Federation in Digital Twins and Knowledge Transfer: Modeling Limitations and Enhancement by Alexios Papacharalampopoulos, Dionysios Christopoulos, Olga Maria Karagianni, Panagiotis Stavropoulos

“…Digital twins (DTs) consist of various technologies and therefore require a wide range of data. However, many businesses often face challenges in providing sufficient data due to technical limitations or business constraints. …”
Get full text

An Explainable AI Application (AF’fective) to Support Monitoring of Patients With Atrial Fibrillation After Catheter Ablation: Qualitative Focus Group, Design Session, and Intervie... by Wan Jou She, Panote Siriaraya, Hibiki Iwakoshi, Noriaki Kuwahara, Keitaro Senoo

“… BackgroundThe opaque nature of artificial intelligence (AI) algorithms has led to distrust in medical contexts, particularly in the treatment and monitoring of atrial fibrillation. …”
Get full text

Conceptual model of collaborative pharmaceutical practice in healthcare and social care for the elderly by Ilić Velibor O., Marinković Valentina, Tasić Ljiljana

“…Methods. Using two search algorithms that were created to search articles published in English, a comprehensive search of the bibliographic databases Web of Science and PubMed was undertaken (up to June 2015). …”
Get full text

A Novel Toolbox for Generating Realistic Biological Cell Geometries for Electromagnetic Microdosimetry by Mehrdad Saviz, A.H. Buchali Safiee, Elham Sharifi

“…We have designed a free, user-friendly tool in MATLAB that combines several known or new algorithms for easy production of three-dimensional complex cell shapes based on minimum data. …”
Get full text

Towards Reliable ECG Analysis: Addressing Validation Gaps in the Electrocardiographic R-Peak Detection by Syed Talha Abid Ali, Sebin Kim, Young-Joon Kim

“…This comparison is typically performed using tools provided by the waveform database (WFDB) or custom methods. However, many studies fail to provide detailed information on the validation process. …”
Get full text

Optimizing Personalized and Context-Aware Recommendations in Pervasive Computing Environments by A. C. Kaladevi, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi

“…Reinforcement learning algorithms optimize the recommendation policy based on user feedback. …”
Get full text

Using landscape and bioclimatic features to predict the distribution of lions, leopards and spotted hyaenas in Tanzania's Ruaha landscape. by Leandro Abade, David W Macdonald, Amy J Dickman

“…This approach could have relevance for many other important wildlife areas that only have limited, haphazard presence-only data, but which urgently require strategic conservation planning.…”
Get full text

Integrative review in PhD admissions: A case study of efficiently minimizing bias while maximizing the student narrative. by Minerva A Orellana, Danielle J Beetler, Carmen J Silvano, Ryan Wuertz, Jennifer L Weisbrod, Lewis R Roberts, Anthony J Windebank, Felicity T Enders, Marina R Walther-Antonio

“…PhD applicant cohorts to a longstanding Clinical and Translational Sciences PhD TL1 program were assessed using one of three review processes: traditional, algorithmic, or a novel integrative review process. …”
Get full text

Features of the microelement composition of saliva in elderly patients by A. M. Imanov, Y. A. Mazur, E. M. Kakabadze

“…This is especially true in the diagnosis of elderly patients, due to the increased risk of occurrence and development of many diseases, on the one hand, and the possibility of multiple sampling for analysis, on the other.  …”
Get full text

Integrating Artificial Intelligence into Service Innovation, Business Development, and Legal Compliance: Insights from the Hainan Free Trade Port Era by Yincheng Li, Shumin Wang, Muhammad Bilawal Khaskheli

“…Hypothesis 3 state that HFTP enterprises comply with these laws while systemically assuring, in theory, and practice, the legal risks of artificial intelligence and its implications for legal regulation, which is a significant aspect of research, addressing legal risks related to data privacy, security, and algorithmic bias with many strategies being proposed. …”
Get full text

PREVALENCE OF PERIODONTAL TISSUE DISEASES IN CHILDREN WITH AUTISM by D.V. Danyliuk, I.S. Dubetska-Hrabous

“… It is known that among the many factors that cause dental diseases in children, disorders of mental development and disorders of the nervous system, including autism, are important. …”
Get full text

The current state of the problem of tick-borne encephalitis in Russia and the world by N. M. Kolyasnikova, A. A. Ishmukhametov, V. G. Akimkin

“…In conditions of combination of natural foci of TBE and other tick-borne infections, it is important to develop diagnostic algorithms, including differential diagnosis of this disease with other infections transmitted by Ixodic ticks.…”
Get full text

Experimental determination of factors causing crashes involving automated vehicles by Teshome Kumsa Kurse, Girma Gebresenbet, Geleta Fikadu Daba, Negasa Tesfaye Tefera

“…Emergence of technologies to replace human action is occurring in many sectors, with autonomous vehicles being a leading example. …”
Get full text

Progress in plant genome sequencing: research directions by M. K. Bragina, D. A. Afonnikov, E. A. Salina

“…Since the first plant genome of Arabidopsis thaliana has been sequenced and published, genome sequencing technologies have undergone significant changes. New algorithms, sequencing technologies and bioinformatic approaches were adopted to obtain genome, transcriptome and exome sequences for model and crop species, which have permitted deep inferences into plant biology. …”
Get full text

Elephant Flows Detection Using Deep Neural Network, Convolutional Neural Network, Long Short-Term Memory, and Autoencoder by Getahun Wassie Geremew, Jianguo Ding

“…Deep autoencoder is also one of the promising algorithms that do not require human class labeler. …”
Get full text

Distribution of ilmenite minerals in placer deposits along the middle coast of Southern Brazil using spaceborne and ground-based remote sensing. by Gabriel Prates Hallal, Carla Cristine Porcher, Bijeesh Kozhikkodan Veettil, Jean Marcel de Almeida Espinoza, Silvia Beatriz Alves Rolim

“…The main source of titanium oxide is ilmenite, a mineral deposited in many coastal areas of the world, including the state of Rio Grande do Sul in Southern Brazil in its central coastal plain, under specific morphodynamic conditions. …”
Get full text

YOLO-GML: An object edge enhancement detection model for UAV aerial images in complex environments. by Zhihao Zheng, Jianguang Zhao, Jingjing Fan

“…However, in practical application scenarios, there are many complex and highly uncertain factors, such as extreme weather changes, large scale and span of the target, complex background interference, motion ambiguity, etc., which makes accurate and real-time UAV target detection still a great challenge. …”
Get full text