Skander Zouari^1,*, Flora Barthe¹, Arnoult Morrone¹, Lionel Mendel², Imad Bentellis², Louis Vignot¹, Romain Haider¹, Younes Ahallal¹, Daniel Chevallier¹, Matthieu Durand^1,3

Canadian Journal of Urology, DOI:10.32604/cju.2025.064281

Abstract Background: Inflatable Penile Prosthesis (IPP) is the treatment for erectile dysfunction (ED) refractory to pharmacological therapies. Long-term data on factors associated with prosthesis survival remain unclear. This study aimed to analyze the long-term survival of penile prostheses and identify risk factors associated with survival without reintervention. Methods: This is a retrospective, single-center study of patients who underwent IPP implantation between January 2014 and December 2022. Preoperative data related to the patient and the etiology of ED, as well as perioperative data, were collected. The primary outcome was survival without reintervention, defined as prosthesis revision or… More >

Abdul Baseet Arham¹, John M. Rieth², Michael A. O’Donnell^3,*

Canadian Journal of Urology, DOI:10.32604/cju.2025.063632

Abstract Background: Genitourinary (GU) sarcomas are rare soft tissue malignancies, comprising around 2% of all GU cancers. Due to their rarity, limited data exist on optimal management and long-term outcomes. This study presents a 25-year single-institution experience, evaluating clinical presentation, treatment strategies, and survival outcomes, aims to identify trends over time and potential predictors of prognosis. Methods: A retrospective review was conducted of patients aged ≥18 years diagnosed with GU sarcomas at the University of Iowa Hospitals and Clinics (1998–2023). Data on tumor subtype, staging, histopathology, treatment modalities, and survival outcomes were analyzed. Kaplan-Meier analysis estimated… More >

Maddina Dinesh Kumar^1,#, S. U. Mamatha², Khalid Masood³, Nehad Ali Shah^4,#, Se-Jin Yook^1,*

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.074680

Abstract Fluid dynamic research on rectangular and trapezoidal fins is aimed at increasing heat transfer by means of large surfaces. The trapezoidal cavity form is compared with its thermal and flow performance, and it is revealed that trapezoidal fins tend to be more efficient, particularly when material optimization is critical. Motivated by the increasing need for sustainable energy management, this work analyses the thermal performance of inclined trapezoidal and rectangular porous fins utilising a unique hybrid nanofluid. The effectiveness of nanoparticles in a working fluid is primarily determined by their thermophysical properties; hence, optimising these properties… More >

Adnan Ashique^1,#, Khalid Masood², Usman Afzal¹, Mati Ur Rahman², Maddina Dinesh Kumar³, Sohaib Abdal³, Nehad Ali Shah^1,*,#

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.072523

Abstract This study outlines a quantitative and data-driven study of the mixed convection heat transfer processes that concern Cu-water nanofluids in a Γ-shaped enclosure with one to five rotating cylinders. The dimensionless equations of mass, momentum, and energy are solved using the finite element method as implemented in the COMSOL Multiphysics 6.3 software in different rotating Reynolds numbers and cylinder geometries. An artificial Neural Network that is trained using Bayesian Regularization on data produced by the COMSOL is utilized to estimate the average Nusselt numbers. The analysis is conducted for a wide range of rotational Reynolds… More >

Ziying Huang¹, Ruikang Ma¹, Anning Li², Yufei Cheng¹, Xiaolin Lin², Mengzhi Li³, Yu Zhang², Liping Shi¹, Linlin Dong^1,*

Phyton-International Journal of Experimental Botany, DOI:10.32604/phyton.2025.074419

Abstract Epimedium is commonly used to treat bone injury and kidney disease, with prenylated flavonol glycosides (PFGs) as its active ingredients. It has attracted much attention due to prominent healthcare and therapeutic effects, but faces problems of adulteration with closely related species and confusion about geographical origins. In this study, multiple technical approaches were employed to identify its genetic characteristics and metabolic differences. Based on DNA barcoding, 20 batches of samples were analyzed. The genetic distances of matK, ITS and psbA-trnH within species were all smaller than those between species, and psbA-trnH along with ITS + psbA-trnH proved most effective… More >

Elizabeth Martinez¹, Ana K. Escalera-Ordaz¹, Francisco J. Espinosa-García², Yolanda M. García-Rodríguez², Rafael Ariza-Flores³, Javier Ponce-Saavedra⁴, Patricio Apáez-Barrios⁵, Héctor Guillén-Andrade^1,*

Phyton-International Journal of Experimental Botany, DOI:10.32604/phyton.2025.073438

Abstract Volatile organic compounds (VOCs) play an important role in plant survival and adaptation. They contribute to defense against pests and pathogens, tolerance to abiotic stress, and the mediation of essential ecological interactions such as pollination and attraction of dispersal agents. The complex mixture of VOCs produced by an organism, known as volatilome, varies across species, populations, and individuals, making VOCs a major factor in crop diversification and adaptation. In this context, characterizing the volatilome of crop genotypes can provide insight into their ecological associations and potential relationships with agronomic traits. In this study, the volatilome… More >

Xiaoyu Zhang^1,#, RenFei Zong^1,#, Yan Sun¹, Nan Chen², Kunyao Zhu¹, Hang Tong¹, Tinghao Li¹, Junlong Zhu¹, Zijia Qin¹, Linfeng Wu¹, Aimin Wang¹, Weiyang He^1,*

Oncology Research, DOI:10.32604/or.2025.072084

Abstract Objective: While cisplatin-based chemotherapy is pivotal for advanced bladder cancer, acquired resistance remains a major obstacle. This study investigates key molecular drivers of this resistance and potential reversal strategies. Methods: We established GC (Gemcitabine and Cisplatin)-resistant T24-R and UC3-R cell lines from T24 and UM-UC-3 (UC3) cells. Transcriptomic and proteomic analyses identified differentially expressed molecules. Apoptosis and cell viability were assessed by flow cytometry and CCK-8 (Cell Counting Kit-8) assays, while RT-qPCR (Reverse Transcription Quantitative Polymerase Chain Reaction) and Western blot analyzed gene and protein expression. Immunofluorescence evaluated FAK (Focal Adhesion Kinase) phosphorylation, and a… More >

Ahmed K. Ali¹, Jungpil Shin^2,*, Yujin Lim^3,*, Da-Hun Seong³

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.073871

Abstract Single-signal detection in orthogonal frequency-division multiplexing (OFDM) systems presents a challenge due to the time-varying nature of wireless channels. Although conventional methods have limitations, particularly in multi-input multioutput orthogonal frequency division multiplexing (MIMO-OFDM) systems, this paper addresses this problem by exploring advanced deep learning approaches for combined channel estimation and signal detection. Specifically, we propose two hybrid architectures that integrate a convolutional neural network (CNN) with a recurrent neural network (RNN), namely, CNN-long short-term memory (CNN-LSTM) and CNN-bidirectional-LSTM (CNN-Bi-LSTM), designed to enhance signal detection performance in MIMO-OFDM systems. The proposed CNN-LSTM and CNN-Bi-LSTM architectures are… More >

Shuai Zhao, Zhiwei Zhang^*, Junkai Wang, Ye Yuan, Guoren Wang

CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.073315

Abstract With the development of sharded blockchains, high cross-shard rates and load imbalance have emerged as major challenges. Account partitioning based on hashing and real-time load faces the issue of high cross-shard rates. Account partitioning based on historical transaction graphs is effective in reducing cross-shard rates but suffers from load imbalance and limited adaptability to dynamic workloads. Meanwhile, because of the coupling between consensus and execution, a target shard must receive both the partitioned transactions and the partitioned accounts before initiating consensus and execution. However, we observe that transaction partitioning and subsequent consensus do not require… More >

José Arturo Ramírez-Fernández¹, Henevith G. Méndez-Figueroa¹, Sebastián Ossandón^2,*, Ricardo Galván-Martínez³, Miguel Ángel Hernández-Pérez³, Ricardo Orozco-Cruz³

CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.072707

Abstract In this study, artificial neural networks (ANNs) were implemented to determine design parameters for an impressed current cathodic protection (ICCP) prototype. An ASTM A36 steel plate was tested in 3.5% NaCl solution, seawater, and NS4 using electrochemical impedance spectroscopy (EIS) to monitor the evolution of the substrate surface, which affects the current required to reach the protection potential (). Experimental data were collected as training datasets and analyzed using statistical methods, including box plots and correlation matrices. Subsequently, ANNs were applied to predict the current demand at different exposure times, enabling the estimation of electrochemical More >