Connor M. Forbes^1,*, Ben H. Chew¹, K.F. Victor Wong¹, Runhan Ren¹, Yuanyuan Ji², Alexander P. Glaser³, Kazumi Taguchi⁴, Amy E. Krambeck⁵, Marcelino E. Rivera⁶, Ojas Shah⁷, Edouard Tariel⁸, Channa Amarasekera⁵, Shuzo Hamamoto⁴, Dirk Lange¹, Wilson R. Molina⁹, John J. Knoedler¹⁰, Mitchell R. Humphreys¹¹, Karen L. Stern,¹¹

Canadian Journal of Urology, Vol.32, No.4, pp. 335-344, 2025, DOI:10.32604/cju.2025.063577 - 29 August 2025

Abstract Objectives: Previous studies have shown conflicting results concerning the optimal duration of ureteral stenting after endourologic treatment of stone disease, its effect on patient comfort, and the necessity for emergent, unscheduled care. This study assessed the impact of stent duration, sex, and other patient-associated factors on reported pain scores using a large, international prospective registry. Methods: A prospective observational patient registry on ureteral stents from 10 institutions in 4 countries (United States, Canada, France, and Japan) from 2020–2023 was assessed. The primary outcome was Patient-Reported Outcomes Measurement Information System (PROMIS) pain intensity scores administered on… More >

Rongrong Gong^1,#, Tingxian Zhang^2,#, Yawen Wei², Dengyong Zhang², Yan Li^3,*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1221-1234, 2025, DOI:10.32604/cmc.2025.066842 - 29 August 2025

Abstract Image inpainting refers to synthesizing missing content in an image based on known information to restore occluded or damaged regions, which is a typical manifestation of this trend. With the increasing complexity of image in tasks and the growth of data scale, existing deep learning methods still have some limitations. For example, they lack the ability to capture long-range dependencies and their performance in handling multi-scale image structures is suboptimal. To solve this problem, the paper proposes an image inpainting method based on the parallel dual-branch learnable Transformer network. The encoder of the proposed model More >

Gracia Cristina Villodres^1,#,*, Federico Salvador-Pérez², José Joaquín Muros¹, Rocío Vizcaíno-Cuenca^3,4,#

International Journal of Mental Health Promotion, Vol.27, No.7, pp. 877-899, 2025, DOI:10.32604/ijmhp.2025.066137 - 31 July 2025

Abstract Background: University students face significant challenges in maintaining healthy physical activity (PA) and dietary habits, and they often fall short of global health recommendations. Psychological factors such as social physique anxiety, body image concerns, and self-objectification may act as barriers to PA engagement, influencing both mental and physical health. The present study constructed a structural equation model (SEM) to examine the relationship between body image-related psychological factors and resistance to PA in university students from southern Spain. Methods: A cross-sectional and correlational study was conducted with 519 university students (74% females, 26% males; Mean age… More >

Jinrong Li^1,2, Chunhua Wei², Lei Liang^2,3,*, Zhisheng Gao^1,*

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 3259-3280, 2025, DOI:10.32604/cmc.2025.063547 - 03 July 2025

Abstract The Pressure Sensitive Paint Technique (PSP) has gained attention in recent years because of its significant benefits in measuring surface pressure on wind tunnel models. However, in the post-processing process of PSP images, issues such as pressure taps, paint peeling, and contamination can lead to the loss of pressure data on the image, which seriously affects the subsequent calculation and analysis of pressure distribution. Therefore, image inpainting is particularly important in the post-processing process of PSP images. Deep learning offers new methods for PSP image inpainting, but some basic characteristics of convolutional neural networks (CNNs)… More >

Karim Gasmi¹, Olfa Hrizi^1,*, Najib Ben Aoun^2,3, Ibrahim Alrashdi¹, Ali Alqazzaz⁴, Omer Hamid⁵, Mohamed O. Altaieb¹, Alameen E. M. Abdalrahman¹, Lassaad Ben Ammar⁶, Manel Mrabet⁶, Omrane Necibi¹

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 2459-2489, 2025, DOI:10.32604/cmes.2025.065817 - 30 May 2025

Abstract The potential applications of multimodal physiological signals in healthcare, pain monitoring, and clinical decision support systems have garnered significant attention in biomedical research. Subjective self-reporting is the foundation of conventional pain assessment methods, which may be unreliable. Deep learning is a promising alternative to resolve this limitation through automated pain classification. This paper proposes an ensemble deep-learning framework for pain assessment. The framework makes use of features collected from electromyography (EMG), skin conductance level (SCL), and electrocardiography (ECG) signals. We integrate Convolutional Neural Networks (CNN), Long Short-Term Memory Networks (LSTM), Bidirectional Gated Recurrent Units (BiGRU),… More >

Agar Marín-Morales^1,2,*, Sofia Amaoui², Carmen Fernández-Fillol^2,3,4, Gustavo Carlo⁵, Sandra Rivas-García^2,6

International Journal of Mental Health Promotion, Vol.27, No.4, pp. 561-576, 2025, DOI:10.32604/ijmhp.2025.058881 - 30 April 2025

Abstract Background: Prosocial behavior plays a crucial role in improving interpersonal relationships and social well-being, especially in times of crisis. The COVID-19 pandemic caused a severe humanitarian crisis, prompting governments to implement measures such as social confinement. The main objective of the study was to analyze the psychological and sociodemographic variables that may predict prosocial behavior during quarantine. Methods: The sample consisted of 172 participants from Spain, divided into two groups based on whether they reported an increase in prosocial behaviors during quarantine. An online survey was administered to analyze the psychological and sociodemographic variables. Results: Overall, More >

Ruizhe Yu¹, Tingrui Yue³, Lei Liang^2,3,*, Zhisheng Gao^1,*

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 5239-5256, 2025, DOI:10.32604/cmc.2025.059077 - 06 March 2025

Abstract In the PSP (Pressure-Sensitive Paint), image deblurring is essential due to factors such as prolonged camera exposure times and high model velocities, which can lead to significant image blurring. Conventional deblurring methods applied to PSP images often suffer from limited accuracy and require extensive computational resources. To address these issues, this study proposes a deep learning-based approach tailored for PSP image deblurring. Considering that PSP applications primarily involve the accurate pressure measurements of complex geometries, the images captured under such conditions exhibit distinctive non-uniform motion blur, presenting challenges for standard deep learning models utilizing convolutional… More >

Lingling Yu^1,2, Yanxia Chen^3,*, Jinming Li², André O. Werneck⁴, Fabian Herold⁵, Alyx Taylor⁶, Benjamin Tari⁷, Liye Zou²

International Journal of Mental Health Promotion, Vol.27, No.2, pp. 97-110, 2025, DOI:10.32604/ijmhp.2025.061237 - 03 March 2025

Abstract Background: Taking actions to maintain a healthy lifestyle, including regular engagement in physical activity (PA) and reducing sedentary behavior (SB), may protect against the development of internalizing problems among healthy youth. However, it remains unclear whether such associations exist among youth with chronic pain who often report symptoms of depression and anxiety. To this end, we aimed to investigate the associations between independent and combined PA and/or SB patterns with indicators of internalizing problems in this vulnerable population. Methods: Data used in this cross-sectional study were retrieved from the U.S. National Survey of Children’s Health… More >

DONGYUN RONG^1,2,#, YUSHEN SU^1,#, ZHIRUI ZENG³, YAN YANG⁴, HONGUAN LU^1,*, YU CAO^1,*

Oncology Research, Vol.33, No.3, pp. 605-616, 2025, DOI:10.32604/or.2024.050661 - 28 February 2025

Abstract Background: Terpinen-4-ol (T4O), a key constituent of tea tree essential oil and various aromatic plants, has shown promising antiproliferative and pro-apoptotic effects in melanoma and other cancer types. However, its efficacy against cutaneous squamous cell carcinoma (cSCC) remains unclear. Thus, in this study, we investigated the in vivo and in vitro effects of T4O on cSCC cell lines and preliminarily explored its impacting pathways. Methods: Using CCK8 and assay colony formation, we assessed the viability of cSCC A431, SCL-1, and COLO-16 cells treated with T40 at varying concentrations (0, 1, 2, and 4 μM). Flow cytometry was… More >

Jack Considine¹, Kyle O'Hollaren¹, Codrut Radoiu¹, Raghav Madan¹, Aron Liaw^1,2, Nivedita Dhar^2,3

Canadian Journal of Urology, Vol.31, No.3, pp. 11898-11903, 2024

Abstract Introduction: Interstitial cystitis/bladder pain syndrome (IC/BPS) is characterized by chronic pelvic pain and usually accompanies lower urinary tract symptoms. We have previously reported that amniotic bladder therapy (ABT) provides symptomatic improvement in refractory IC/BPS patients for up to 3 months. Herein, we evaluated the durability of ABT up to 6 months.
Materials and methods: Consecutive IC/BPS patients received intra-detrusor injections of 100 mg micronized amniotic membrane. Clinical evaluation and patient reported outcome measurements including Interstitial Cystitis Symptom Index (ICSI), Interstitial Cystitis Problem Index (ICPI), Bladder Pain/ Interstitial Cystitis Symptom Score (BPIC-SS) and Overactive Bladder Assessment Tool (OAB)… More >