Yukai Li^1,*, Ruixue Zhang¹, Yongfeng Ni¹, Hongkai Qiu¹, Yuning Zhang², Chunming Liu²

Energy Engineering, Vol.122, No.2, pp. 681-707, 2025, DOI:10.32604/ee.2024.058981 - 31 January 2025

Abstract Aiming at the problems of increasing uncertainty of low-carbon generation energy in active distribution network (ADN) and the difficulty of security assessment of distribution network, this paper proposes a two-phase scheduling model for flexible resources in ADN based on probabilistic risk perception. First, a full-cycle probabilistic trend sequence is constructed based on the source-load historical data, and in the day-ahead scheduling phase, the response interval of the flexibility resources on the load and storage side is optimized based on the probabilistic trend, with the probability of the security boundary as the security constraint, and with… More >

Haijun Yang^1,2,*, Zhenzhong Cai^1,2, Hui Zhang^1,2, Chong Sun^1,2, Jing Li^3,*, Xiaoyu Meng³, Chen Liu⁴, Chengqiang Yang³

Energy Engineering, Vol.122, No.2, pp. 537-560, 2025, DOI:10.32604/ee.2024.058747 - 31 January 2025

Abstract Deep tight reservoirs exhibit complex stress and seepage fields due to varying pore structures, thus the seepage characteristics are significant for enhancing oil production. This study conducted triaxial compression and permeability tests to investigate the mechanical and seepage properties of tight sandstone. A digital core of tight sandstone was built using Computed Tomography (CT) scanning, which was divided into matrix and pore phases by a pore equivalent diameter threshold. A fluid-solid coupling model was established to investigate the seepage characteristics at micro-scale. The results showed that increasing the confining pressure decreased porosity, permeability, and flow More >

Alireza Moradi, Alireza Shaterzadeh^*

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 223-257, 2025, DOI:10.32604/cmc.2024.059441 - 03 January 2025

Abstract For the first time, the linear and nonlinear vibrations of composite rectangular sandwich plates with various geometric patterns of lattice core have been analytically examined in this work. The plate comprises a lattice core located in the middle and several homogeneous orthotropic layers that are symmetrical relative to it. For this purpose, the partial differential equations of motion have been derived based on the first-order shear deformation theory, employing Hamilton’s principle and Von Kármán’s nonlinear displacement-strain relations. Then, the nonlinear partial differential equations of the plate are converted into a time-dependent nonlinear ordinary differential equation… More >

NASSER MULLA^1,*, YOUSEF KATIB², ASIM M. ALMUGHAMSI³, DUAA S. ALKHAYAT¹, MOHAMED MOSAAD^1,4, SAMIR T. ALFOTIH⁵, RAWAN ALAOFI⁶

Oncology Research, Vol.33, No.1, pp. 149-160, 2025, DOI:10.32604/or.2024.050903 - 20 December 2024

Abstract Background: Hepatocellular carcinoma (HCC) is the most common cause of cancer-related death in Saudi Arabia. Our study aimed to investigate the patterns of HCC and the effect of TNM staging, Alfa-fetoprotein (AFP), and Child-Turcotte Pugh (CTP) on patients’ overall survival (OS). Methods: A retrospective analysis was conducted on 43 HCC patients at a single oncology center in Saudi Arabia from 2015 to 2020. All patients had to fulfill one of the following criteria: (a) a liver lesion reported as definitive HCC on dynamic imaging and/or (b) a biopsy-confirmed diagnosis. Results: The mean patient age of all… More >

Anastasios Dounis^*, Ioannis Palaiothodoros, Anna Panagiotou

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 759-811, 2025, DOI:10.32604/cmes.2024.057888 - 17 December 2024

Abstract Accurate medical diagnosis, which involves identifying diseases based on patient symptoms, is often hindered by uncertainties in data interpretation and retrieval. Advanced fuzzy set theories have emerged as effective tools to address these challenges. In this paper, new mathematical approaches for handling uncertainty in medical diagnosis are introduced using q-rung orthopair fuzzy sets (q-ROFS) and interval-valued q-rung orthopair fuzzy sets (IVq-ROFS). Three aggregation operators are proposed in our methodologies: the q-ROF weighted averaging (q-ROFWA), the q-ROF weighted geometric (q-ROFWG), and the q-ROF weighted neutrality averaging (q-ROFWNA), which enhance decision-making under uncertainty. These operators are paired More > Graphic Abstract

Snir Dekalo^1,2, Ohad Mazliah², Eyal Barkai^1,2, Yuval Bar-Yosef^1,2, Haim Herzberg^1,2, Tomer Bashi^1,2, Ibrahim Fahoum^2,3, Sophie Barnes^2,4, Mario Sofer^1,2, Ofer Yossepowitch^1,2, Gal Keren-Paz^1,2, Roy Mano^1,2

Canadian Journal of Urology, Vol.31, No.4, pp. 11955-11962, 2024

Abstract Introduction: Most men diagnosed with very-low and low-risk prostate cancer are candidates for active surveillance; however, there is still a misclassification risk. We examined whether PI-RADS category 4 or 5 combined with ISUP 1 on prostate biopsy predicts upgrading and/ or adverse pathology at radical prostatectomy.
Materials and methods: A total of 127 patients had ISUP 1 cancer on biopsy after multiparametric MRI (mpMRI) and then underwent radical prostatectomy. We then evaluated them for ISUP upgrading and/or adverse pathology on radical prostatectomy.
Results: Eight-nine patients (70%) were diagnosed with PI-RADS 4 or 5 lesions. ISUP upgrading was significantly… More >

Zhen Zou^1,2, Fengxiang Xu^1,2,*, Yifan Zhu^1,2, Xiaoqiang Niu^1,2, Xiao Geng^1,2

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011093

Abstract Honeycomb cored sandwich structures have been attracted extensive attentions attributed to outstanding explosion and impact protection capability. Herein, in order to improve the anti-blast performance of re-entrant honeycombs (RH) cored sandwich panel, the conventional RH is reinforced by introducing catenary in the form of connecting both ends of horizontal cell walls and catenary. The results show that the deformation mode of the reinforced RHs (RRH) becomes more stable and regular compared to RHs, and the energy absorption of classic RHs can be enhanced because the reinforced structures and the improved auxetic deformation are employed simultaneously.… More >

Sameema Tariq¹, Ata-Ur- Rehman^2,3, Maria Abubakar², Waseem Iqbal⁴, Hatoon S. Alsagri⁵, Yousef A. Alduraywish⁵, Haya Abdullah A. Alhakbani^5,*

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2493-2515, 2024, DOI:10.32604/cmc.2024.055787 - 18 November 2024

Abstract In video surveillance, anomaly detection requires training machine learning models on spatio-temporal video sequences. However, sometimes the video-only data is not sufficient to accurately detect all the abnormal activities. Therefore, we propose a novel audio-visual spatiotemporal autoencoder specifically designed to detect anomalies for video surveillance by utilizing audio data along with video data. This paper presents a competitive approach to a multi-modal recurrent neural network for anomaly detection that combines separate spatial and temporal autoencoders to leverage both spatial and temporal features in audio-visual data. The proposed model is trained to produce low reconstruction error… More >

Wenming Wang^1,2,3,*, Zhiquan Liu¹, Shumin Zhang¹, Guijiang Liu¹

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2517-2545, 2024, DOI:10.32604/cmc.2024.055184 - 18 November 2024

Abstract Advancements in the vehicular network technology enable real-time interconnection, data sharing, and intelligent cooperative driving among vehicles. However, malicious vehicles providing illegal and incorrect information can compromise the interests of vehicle users. Trust mechanisms serve as an effective solution to this issue. In recent years, many researchers have incorporated blockchain technology to manage and incentivize vehicle nodes, incurring significant overhead and storage requirements due to the frequent ingress and egress of vehicles within the area. In this paper, we propose a distributed vehicular network scheme based on trust scores. Specifically, the designed architecture partitions multiple More >

Zheng Wu¹, Pai Liu¹, Zhan Kang¹, Yiqiang Wang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.011044

Abstract Honeycomb sandwich structures (HSSs) consist of lightweight cores arranged in periodic polygons [1] between two face sheets. They are widely used in the aerospace industry due to their lightweight but superior strength [2] and energy absorption [3]. As extremely high temperatures might be applied, the sandwich structures may suffer from thermal buckling failure [4] due to thin face walls [5]. This paper designs a new type of HSSs for pursuing optimal thermal buckling strength. The design idea is to replace the vertical straight walls in the honeycomb cores with curved walls. An optimization problem is… More >