Wentao Su^1,#, Aishan Gulijiakela^1,#, Jihao Xiong¹, San Zhang¹, Ke Ma^2,*

BIOCELL, Vol.50, No.9, 2026, DOI:10.32604/biocell.2026.081235 - 26 August 2026

Abstract Objective: Mitochondrial dysfunction and ferroptosis contribute critically to acute lung injury (ALI), yet therapies targeting this pathway remain limited. This study investigates whether Salviadione, a rare alkaloid, protects against lipopolysaccharide (LPS)-induced epithelial damage by modulating the mitochondrial ferroptosis pathway. Methods: Network pharmacology, molecular docking, and molecular dynamics simulations identified potential targets. An in vitro model of lung epithelial injury was established using BEAS-2B cells exposed to LPS. Cell viability, lactate dehydrogenase (LDH) release, lipid peroxidation, Fe²⁺ accumulation, glutathione peroxidase 4 (GPX4) and acyl-CoA synthetase long-chain family member 4 (ACSL4) expression, mitochondrial membrane potential (ΔΨm), mitochondrial reactive oxygen species… More >

Jing Cui¹, Yong Qin^2,*, Yixuan Geng³, Miao Guo^4,*, Xue Yang⁴, Wanyin Shi⁵

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.081306 - 24 August 2026

Abstract Noise barriers (NBs) play a significant role in reducing railway noise and preventing foreign-object intrusion. However, surface damage, corrosion, rust, missing components, and local deformation may gradually reduce their structural reliability and threaten railway operation safety. Because NB anomalies are diverse and defect samples are limited, it remains difficult to build a general detector using conventional supervised learning. To address this problem, this study proposes an unsupervised anomaly detection system for railway NBs using UAV imagery. First, a color-prior-based NB localization algorithm is developed in the HSV color space to extract NB regions without cumbersome More >

Zhichao Liu^1,2, Jun Zhang^2,*, Dongling Yu³, Libing Jin¹, Bingquan Song³

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.081186 - 24 August 2026

Abstract The chloride ion penetration resistance of manufactured sand concrete (MSC) critically determines the durability of marine concrete structures. However, its accurate prediction is challenging due to high uncertainty from complex influencing factors. To address this, a back-propagation neural network model optimized by a hybrid Whale Optimization Algorithm and Adaptive Moment Estimation strategy (WOA-Adam-BPNN) was developed to predict the electrical flux. The model was trained and tested on 245 experimental datasets covering eight key parameters and validated across four typical mix proportions. Results show that the WOA-Adam hybrid strategy effectively combines global search capability with adaptive More >

Ning Lin^*

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.080823 - 24 August 2026

Abstract The fully grouted sleeve connection is a key joint type in precast concrete structures. Its mechanical performance after high-temperature exposure is critical for the post-fire safety assessment of these structures. This paper experimentally investigates the influence of different peak temperatures on the tensile performance of fully grouted sleeve connections. A total of 36 fully grouted sleeve specimens, 36 single rebar specimens, and their corresponding grout cubes were prepared. All specimens were heated to the target temperatures and then cooled naturally. Afterwards, static tensile tests and compressive strength tests were performed. The results show that, compared… More >

Wael A. Altabey^*

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.079495 - 24 August 2026

Abstract The goal of this paper is to improve the monitoring of civil structures when we pair unmanned aerial vehicles (UAVs) technology with the current proposed algorithm, particularly to identify cracks in concrete structures. Typically, the current UAV methods are more about creating state maps of these structures, but they struggle with the impact of the drone’s movement on crack detection accuracy. This presents challenges for using intelligent systems for concrete crack detection. The current approach combines advanced technologies with a network of high-definition cameras mounted on inspection UAV systems and distributed in different parts of… More >

Alberto Zambudio-Munuera¹, María del Carmen Cano-Garcia^1,2, Africa Navarro-Garcia¹, Jose Luis Martin-Rodriguez^3,4, Miguel Angel Arrabal-Polo^1,2,4,*

Canadian Journal of Urology, Vol.33, No.4, pp. 999-1005, 2026, DOI:10.32604/cju.2026.077945 - 21 August 2026

Abstract Background: Beckwith–Wiedemann syndrome (BWS) is a congenital overgrowth disorder that may be associated with renal abnormalities, although benign renal manifestations presenting in adulthood are less well characterized. Case description: We report the case of a 20-year-old woman with genetically confirmed BWS who was diagnosed with medullary sponge kidney (MSK) during adulthood after imaging evaluation for suspected renal abnormalities. Contrast-enhanced computed tomography and intravenous urography demonstrated characteristic medullary collecting duct dilatation with nephrocalcinosis, consistent with MSK, associated with hypercalciuria and hypocitraturia. Medical management with thiazide diuretics and potassium citrate achieved metabolic control and stable imaging findings. Conclusion: More >

Liliana Guadagni¹, Marco Falcone^2,3,4, Lorenzo Cirigliano^2,5,*, Ilaria Ferro², Mirko Preto², Natalia Plamadeala², Martina Scavone², Emanuele Zupo², Paolo Gontero²

Canadian Journal of Urology, Vol.33, No.4, pp. 913-921, 2026, DOI:10.32604/cju.2026.076284 - 21 August 2026

Abstract Background: Testicular prosthesis implantation (TPI) is frequently performed as part of masculinizing genital gender-affirming surgery (GGAS), but complication and satisfaction data for assigned female at birth (AFAB) men remain limited. We report a single-centre experience assessing postoperative complications, explantation-free survival (EFS) and patient-reported satisfaction. Methods: We conducted a retrospective cohort study including all patients who underwent unilateral or bilateral transmasculine TPI (TM-TPI) from May 2007 to April 2025. Primary outcomes were postoperative complications (e.g., surgical-site infection, contamination, hematoma, migration, pain, extrusion) and EFS rate. Satisfaction was measured at 12 months using the 13-item Transmasculine Testicular… More >

Merve Sinem Karahan^*, Mehmet Karaköse

Journal of Quantum Computing, Vol.8, pp. 101-121, 2026, DOI:10.32604/jqc.2026.078969 - 21 August 2026

Abstract Accurate prediction of carbon emissions is essential for developing sustainable environmental policies and mitigating global warming. Road transportation represents one of the major sources of global CO₂ emissions due to its dependence on fossil fuels. This study presents a comparative framework that evaluates classical machine learning models alongside a hybrid quantum–classical learning architecture for vehicle-based CO₂ emission prediction. A large-scale vehicle emissions dataset containing 7385 samples collected over approximately seven years was obtained from the official open-data platform of the Government of Canada. Key vehicle characteristics, including engine size, fuel consumption, transmission type, and vehicle class,… More >

Jinshuo Ma, Yang Li^*, Can Guo, Wen Gao, Ruiming Zhang

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.085999 - 13 August 2026

Abstract Underwater image restoration is severely hindered by a tightly coupled degradation process: wavelength-dependent spectral distortion combined with non-uniform, multi-scale spatial scattering. Standard Convolutional Neural Networks (CNNs) and rigid physical priors frequently fail in these dynamic environments, limited by restricted receptive fields, overlooked inter-channel spectral correlations, and severe over-enhancement in photon-starved regions. To break this bottleneck, we propose the Phased Feature Rectification Network (PFR-Net), a decoupled architecture that transforms the ill-posed restoration task into a sequential global spectral calibration and deep semantic refinement paradigm. In the first phase, an efficient Multi-Layer Perceptron (MLP)-based Color Mapping (MLP-CM)… More >

Maksim Iavich¹, Nursulu Kapalova², Kunbolat Algazy^2,*

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.085904 - 13 August 2026

Abstract Lattice-based post-quantum cryptographic standards such as Module-Lattice Key Encapsulation Mechanism (ML-KEM) and Module-Lattice-Based Digital Signature Algorithm (ML-DSA) have demonstrated documented susceptibility to power-based side-channel attacks even when protected by higher-order arithmetic masking. Concurrently, hash-based and Verkle-tree digital signature schemes lack a systematic analysis of their physical-layer attack surface. This paper closes both gaps by introducing a Verkle-tree digital signature scheme incorporating multiple complementary countermeasures: (i) arithmetic masking of lattice-based Short Integer Solution (SIS) vector commitments, (ii) a counter-mode deterministic random bit generator (CTR_DRBG) seeded by a hardware quantum random number generator (QRNG), and (iii) an… More >