|
|
|
Myoung-Su Choi, Dong-Hun Han, Jun-Woo Choi and Min-Soo Kang
Sleep apnea has emerged as a significant health issue in modern society, with self-diagnosis and effective management becoming increasingly important. Among the most renowned methods for self-diagnosis, the STOP-BANG questionnaire is widely recognized as...
ver más
|
|
|
|
|
|
|
Mariana Lourenço, Teresa Arrufat, Elena Satorres, Sara Maderuelo, Blanca Novillo-Del Álamo, Stefano Guerriero, Rodrigo Orozco and Juan Luis Alcázar
(1) Background: Accurate preoperative diagnosis of ovarian masses is crucial for optimal treatment and postoperative outcomes. Transvaginal ultrasound is the gold standard, but its accuracy depends on operator skill and technology. In the absence of expe...
ver más
|
|
|
|
|
|
|
Marisa Magno, Ana Isabel Martins, Joana Pais, Anabela G. Silva and Nelson Pacheco Rocha
The early detection of cognitive impairment is essential in order to initiate interventions and guarantee access to healthcare services. Digital solutions are emerging in the literature as an alternative approach to cognitive screening. Our primary goal ...
ver más
|
|
|
|
|
|
|
Quoc Tuan Nguyen Diep, Hoang Nhut Huynh, Minh Quan Cao Dinh, Thanh Ven Huynh, Anh Tu Tran and Trung Nghia Tran
This research investigates the critical role of frequency selection in Electrical Impedance Tomography (EIT), a non-invasive imaging technique that reconstructs internal conductivity distributions through injected electrical currents. Empirical frequency...
ver más
|
|
|
|
|
|
|
Grace-Mercure Bakanina Kissanga, Hasan Zulfiqar, Shenghan Gao, Sophyani Banaamwini Yussif, Biffon Manyura Momanyi, Lin Ning, Hao Lin and Cheng-Bing Huang
Accurate prediction of subcellular localization of viral proteins is crucial for understanding their functions and developing effective antiviral drugs. However, this task poses a significant challenge, especially when relying on expensive and time-consu...
ver más
|
|
|
|
|
|
|
Norah Fahd Alhussainan, Belgacem Ben Youssef and Mohamed Maher Ben Ismail
Brain tumor diagnosis traditionally relies on the manual examination of magnetic resonance images (MRIs), a process that is prone to human error and is also time consuming. Recent advancements leverage machine learning models to categorize tumors, such a...
ver más
|
|
|
|
|
|
|
Stoyan Stoyanov, Oskan Tasinov, Tsonka Dimitrova and Galina Yaneva
Background and Objectives: Trichomonas tenax is a protozoan which participates in the human oral microflora. It is considered as a potential paradontopathogen. This microorganism is also reported in the respiratory tract. We aimed to analyze the availabl...
ver más
|
|
|
|
|
|
|
Panpan Dong, Zhenming Zhang and Mingxiang Zhang
This study aimed to assess the effectiveness of combining phytoextraction and biochar for metal-polluted wetland soils by exploring the changes in soil biochemical properties, especially compared to the outcomes of single phytoremediation or biochar appl...
ver más
|
|
|
|
|
|
|
Barbora Cernilová, Miloslav Linda, Jirí Kure, Monika Hromasová, Rostislav Choteborský and Ondrej Krunt
Regular weight measurement is important in fattening geese to assess their health status. Failure to gain weight may indicate a potential illness. Standard weight gain analysis involves direct contact with the animal, which can cause stress to the animal...
ver más
|
|
|
|
|
|
|
Julio-Alejandro Romero-González, Diana-Margarita Córdova-Esparza, Juan Terven, Ana-Marcela Herrera-Navarro and Hugo Jiménez-Hernández
This paper introduces a novel background subtraction method that utilizes texture-level analysis based on the Gabor filter bank and statistical moments. The method addresses the challenge of accurately detecting moving objects that exhibit similar color ...
ver más
|
|
|
|