Song Xu^1,2,3,4,5,*, Mengxin Lu^1,2,3,4,5, Zhonghua Yang^1,2,3,4,5, Hang Zheng^1,2,3,4,5

Canadian Journal of Urology, Vol.32, No.6, pp. 579-588, 2025, DOI:10.32604/cju.2025.063069 - 30 December 2025

Abstract Background: Many studies have evaluated the performance of fluorescence in situ hybridization (FISH) in detecting urothelial carcinoma, while few of them compared it in detecting bladder cancer (BC) vs. upper tract urothelial carcinoma (UTUC). This study aimed to determine and compare the FISH performance in detecting BC and UTUC. Methods: Data of patients with suspected urothelial carcinoma (UC) who accepted FISH from January 2021 to April 2023 were retrieved. The sensitivity and specificity of FISH in detecting BC and UTUC were determined and compared. Results: A total of 145 BC, 62 UTUC, and 170 non-UC patients were… More >

Yatong Li¹, Wangqin Hu^2,*

International Journal of Mental Health Promotion, Vol.27, No.9, pp. 1383-1398, 2025, DOI:10.32604/ijmhp.2025.066974 - 30 September 2025

Abstract Objectives: Adolescents’ aggression is widely studied, the underlying heterogeneity of aggression among rural Chinese boarding students remains unexplored. This study investigates the latent profiles of Chinese rural boarding junior high school students’ aggression and its correlations with moral disengagement and preference for solitude. Methods: A cross-sectional survey was conducted from 04–22 April 2022, using a convenient sampling method among 516 junior high school students from six Chinese rural boarding schools. The survey included the Aggression Questionnaire, the Moral Disengagement Scale (MDS), and the Preference for Solitude Scale (PSS). Results: Participants were divided into three latent… More >

Yun Zhang, Zhenhua Yu^*, Xufei Hu, Xuya Cong, Ou Ye

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5403-5426, 2025, DOI:10.32604/cmc.2025.067120 - 30 July 2025

Abstract Devices in Industrial Internet of Things are vulnerable to voice adversarial attacks. Studying adversarial speech samples is crucial for enhancing the security of automatic speech recognition systems in Industrial Internet of Things devices. Current black-box attack methods often face challenges such as complex search processes and excessive perturbation generation. To address these issues, this paper proposes a black-box voice adversarial attack method based on enhanced neural predictors. This method searches for minimal perturbations in the perturbation space, employing an optimization process guided by a self-attention neural predictor to identify the optimal perturbation direction. This direction… More >

Wiktoria Staśkiewicz-Bartecka^1,*, Samet Aktaş², Grzegorz Zydek³, Marek Kardas¹, Oskar Kowalski⁴

International Journal of Mental Health Promotion, Vol.27, No.5, pp. 649-665, 2025, DOI:10.32604/ijmhp.2025.064543 - 05 June 2025

Abstract Background: In light of growing concern over eating disorders among young athletes amid cultural and social pressures, this study aimed to assess the prevalence of orthorexia nervosa (ON) risk and evaluate body image perception and its predictive factors among young football players from Poland and Türkiye. Methods: The study involved 171 players aged 15–18 years, recruited from football academies in Poland and Türkiye. The Polish and Turkish versions of the Body-Esteem Scale for Adolescents and Adults (BESAA) were administered to assess body image perception, while the Düsseldorf Orthorexia Scale (DOS) was used to measure ON… More >

Jing Ling¹, Naijimuding Abudurexiti¹, Jiaxiong Wu¹, Runzhang Liang¹, Zirui Peng¹, Yuting Huang², Haiyun Yuan^1,3,4,*, Shusheng Wen^1,3,4,*

Congenital Heart Disease, Vol.20, No.1, pp. 13-25, 2025, DOI:10.32604/chd.2025.063437 - 18 March 2025

Abstract Background: Although Cone reconstruction has been shown to improve biventricular function over time, postoperative right ventricular dysfunction (RVD) is frequently observed, signiffcantly affecting reoperation and long-term prognosis. This study aims to identify the predictors for postoperative RVD. Methods: This retrospective cohort study included 51 patients with Ebstein’s anomaly who underwent the Cone reconstruction. RVD was deffned as right ventricular fractional area change (RV-FAC) less than 35% and tricuspid annular plane systolic excursion (TAPSE) less than 17 mm through pre-discharge echocardiography. Univariate and multivariate analyses were used to analyze the pre-operative predictors. Results: The median age at surgery… More >

Prathap Sarma¹, Palesa Mogane^2,*, Katharina Vanderdonck³, Moses Kebalepile¹, Palesa Motshabi Chakane⁴

Congenital Heart Disease, Vol.20, No.1, pp. 41-53, 2025, DOI:10.32604/chd.2025.060382 - 18 March 2025

Abstract Background: Congenital cardiac diseases (CCD) are common congenital birth defects that require high-risk surgery. Outcomes following congenital cardiac surgery in children living in high-income countries (HIC) have been documented, but little is known from the African continent. This study aimed to determine factors associated with perioperative mortality in patients who underwent congenital cardiac surgery at our institution. Methods: This retrospective, cross-sectional study was conducted at Charlotte Maxeke Johannesburg Academic Hospital over 12 years (2006–2017). A multivariable regression analysis was performed for the factors which had a p-value of 0.1 and less in the univariable regression analysis. A… More >

Rishabh K. Simhal^*, Kerith R. Wang^*, Caroline Purcell, Yash B. Shah, Paul H. Chung

Canadian Journal of Urology, Vol.31, No.2, pp. 11826-11833, 2024

Abstract Introduction: Gender affirming surgeries (GAS), such as phalloplasty (PLPs) and vaginoplasty (VGPs), are important aspects of medical care for transgender patients. Here, we aim to better characterize patient demographics and surgical outcomes for PLPs and VGPs using the National Surgical Quality Improvement Program (NSQIP). We hypothesized that frailty indices would be predictive of perioperative PLP and VGP risk and outcomes for PLPs and VGPs.
Materials and methods: Primary GAS, specifically PLPs and VGPs performed from 2006-2020 were identified in NSQIP. Baseline frailty was based on NSQIP’s modified frailty index (mFI) and preoperative morbidity probability (morbprob) variable.
Results: Fifty-eight… More >

Grace Gau¹, Minerva Singh^2,3,*

Revue Internationale de Géomatique, Vol.33, pp. 427-443, 2024, DOI:10.32604/rig.2024.055752 - 11 October 2024

Abstract This study examines how socio-economic characteristics predict flood risk in London, England, using machine learning algorithms. The socio-economic variables considered included race, employment, crime and poverty measures. A stacked generalization (SG) model combines random forest (RF), support vector machine (SVM), and XGBoost. Binary classification issues employ RF as the basis model and SVM as the meta-model. In multiclass classification problems, RF and SVM are base models while XGBoost is meta-model. The study utilizes flood risk labels for London areas and census data to train these models. This study found that SVM performs well in binary… More >

Cheryl Dickson^1,2,4, Danielle Osborn¹, David Baker^1,4, Judith Fethney³, David S. Celermajer^1,4, Rachael Cordina^1,4,*

Congenital Heart Disease, Vol.19, No.1, pp. 49-63, 2024, DOI:10.32604/chd.2023.044874 - 20 March 2024

Abstract Background: Much has been written about the loss to follow-up in the transition between pediatric and adult Congenital Heart Disease (CHD) care centers. Much less is understood about the loss to follow-up (LTF) after a successful transition. This is critical too, as patients lost to specialised care are more likely to experience morbidity and premature mortality. Aims: To understand the prevalence and reasons for loss to follow-up (LTF) at a large Australian Adult Congenital Heart Disease (ACHD) centre. Methods: Patients with moderate or highly complex CHD and gaps in care of >3 years (defined as LTF)… More >

Kaushlendra Yadav^*, Anuj Singh, Arvind Kumar Tiwari

Computer Systems Science and Engineering, Vol.46, No.3, pp. 3767-3782, 2023, DOI:10.32604/csse.2023.033991 - 03 April 2023

Abstract Forecasting the weather is a challenging task for human beings because of the unpredictable nature of the climate. However, effective forecasting is vital for the general growth of a country due to the significance of weather forecasting in science and technology. The primary motivation behind this work is to achieve a higher level of forecasting accuracy to avoid any damage. Currently, most weather forecasting work is based on initially observed numerical weather data that cannot fully cover the changing essence of the atmosphere. In this work, sensors are used to collect real-time data for a… More >