Tianen Liu^1,2, Kun Dai^1,2, Shiju Ren^1,2, Chuanxiang Zhang^1,2, Xiaoling Tang^3,*, Jinghong Hu^3,*, Yidong Cai³, Jun Lu³

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 2981-2995, 2025, DOI:10.32604/fdmp.2025.073859 - 31 December 2025

Abstract Many mature onshore oilfields have entered a high-water-cut stage, with reservoir recovery approaching economic limits. Converting these depleted or nearly depleted reservoirs into underground gas storage (UGS) facilities offers an efficient way to leverage their substantial storage potential. During cyclic gas injection and withdrawal, however, the reservoir experiences complex three-phase flow and repeated stress fluctuations, which can induce rock fatigue, inelastic deformation, and ultimately sand production. This study uses controlled physical experiments to simulate sand production in reservoir rocks subjected to alternating gas injection and production under three-phase conditions. After preparing oil-water-saturated cores through waterflooding,… More > Graphic Abstract

Joon Yau Leong¹, Tyler Gaines², Zachary J. Prebay¹, David Ebbott¹, Paul H. Chung^1,*

Canadian Journal of Urology, Vol.32, No.6, pp. 589-595, 2025, DOI:10.32604/cju.2025.064125 - 30 December 2025

Abstract Introduction: Despite the diagnostic value of intracavernosal injections (ICI) and penile Doppler ultrasound (PDUS), there remain barriers to widespread clinical adaptation of these methods. The study aimed to evaluate the practice patterns of utilization of ICI and PDUS in the assessment of erectile dysfunction (ED) and Peyronie’s disease (PD). Methods: Using the TriNetX database (Cambridge, MA, USA), adult (≥18 years) male patients with a diagnosis of ED on oral phosphodiesterase-5 (PDE5) inhibitors were identified. Current Procedural Terminology codes were utilized to identify patients who underwent further evaluation with ICI or PDUS, as well as penile… More >

Jeongsu Park¹, Moohong Min^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3913-3948, 2025, DOI:10.32604/cmes.2025.072261 - 23 December 2025

Abstract Time series anomaly detection is critical in domains such as manufacturing, finance, and cybersecurity. Recent generative AI models, particularly Transformer- and Autoencoder-based architectures, show strong accuracy but their robustness under noisy conditions is less understood. This study evaluates three representative models—AnomalyTransformer, TranAD, and USAD—on the Server Machine Dataset (SMD) and cross-domain benchmarks including the Soil Moisture Active Passive (SMAP) dataset, the Mars Science Laboratory (MSL) dataset, and the Secure Water Treatment (SWaT) testbed. Seven noise settings (five canonical, two mixed) at multiple intensities are tested under fixed clean-data training, with variations in window, stride, and More > Graphic Abstract

Feng Zhao, Haonan Xu^*, Xiaoqiang Chen, Ying Wang

Energy Engineering, Vol.122, No.12, pp. 4987-5000, 2025, DOI:10.32604/ee.2025.068714 - 27 November 2025

Abstract The cascaded H-bridge (CHB) multilevel inverter has become one of the most widely used PV inverter topologies due to its high voltage processing capability and high quality output power. Grid-connected PV system due to external conditions such as PV panel shading, PV component damage, can lead to PV output power imbalance, triggering the system over-modulation phenomenon, which in turn leads to grid-connected current waveform distortion. To this end, an improved power balance control strategy is proposed in this paper. Firstly, according to the different modulation ratios of each H-bridge module, a suitable harmonic injection method More >

Binu Sudhakaran Pillai¹, Raghavendra Kulkarni², Venkata Satya Suresh kumar Kondeti², Surendran Rajendran^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 1141-1166, 2025, DOI:10.32604/cmes.2025.070348 - 30 October 2025

Abstract Future 6G communications will open up opportunities for innovative applications, including Cyber-Physical Systems, edge computing, supporting Industry 5.0, and digital agriculture. While automation is creating efficiencies, it can also create new cyber threats, such as vulnerabilities in trust and malicious node injection. Denial-of-Service (DoS) attacks can stop many forms of operations by overwhelming networks and systems with data noise. Current anomaly detection methods require extensive software changes and only detect static threats. Data collection is important for being accurate, but it is often a slow, tedious, and sometimes inefficient process. This paper proposes a new… More >

Mengna Cheng¹, Hao Guo², Feng Cao², Jie Gong¹, Fengshuang Du^1,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.10, pp. 2629-2650, 2025, DOI:10.32604/fdmp.2025.070344 - 30 October 2025

Abstract Produced water reinjection is a common strategy in offshore oilfield operations, yet the presence of solid particles in produced water can lead to localized formation pressure buildup, increasing the risk of rock fracturing and leakage. In this study, we present an integrated experimental and numerical investigation to quantify the effects of particle migration on formation pressure and the spatial diffusion of injected water. Dynamic plugging experiments were performed to systematically examine the influence of injection rate and injection volume on core permeability. Results demonstrate that higher injection rates substantially reduce permeability, and the derived relationship More >

Eleena Sarah Mathew^*

Journal on Artificial Intelligence, Vol.7, pp. 347-363, 2025, DOI:10.32604/jai.2025.069841 - 06 October 2025

Abstract This review paper explores advanced methods to prompt Large Language Models (LLMs) into generating objectionable or unintended behaviors through adversarial prompt injection attacks. We examine a series of novel projects like HOUYI, Robustly Aligned LLM (RA-LLM), StruQ, and Virtual Prompt Injection that compel LLMs to produce affirmative responses to harmful queries. Several new benchmarks, such as PromptBench, AdvBench, AttackEval, INJECAGENT, and RobustnessSuite, have been created to evaluate the performance and resilience of LLMs against these adversarial attacks. Results show significant success rates in misleading models like Vicuna-7B, LLaMA-2-7B-Chat, GPT-3.5, and GPT-4. The review highlights limitations… More >

Wen Wang^1,*, Yulong Zhao¹, Bo Li², Bowen Guan¹, Haoran Sun^1,3, Tao Zhang¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.9, pp. 2331-2357, 2025, DOI:10.32604/fdmp.2025.068990 - 30 September 2025

Abstract Condensate gas reservoirs have attracted increasing attention in recent years due to their significant development potential and dual value from both natural gas and condensate oil. However, their exploitation is often hindered by the dual challenges of retrograde condensation and water invasion, which can markedly reduce recovery factors. CO₂ injection offers a promising solution by alleviating condensate blockage, suppressing water influx, and simultaneously enabling geological CO₂ storage. Accordingly, research on optimizing CO₂ injection to mitigate formation damage is critical for the efficient development and management of edge- and bottom-water condensate gas reservoirs. In this study, a long-core… More >

Zehui Qi, Sixing Wu^*, Jianbin Li

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3739-3766, 2025, DOI:10.32604/cmc.2025.067180 - 23 September 2025

Abstract False Data Injection Attacks (FDIAs) pose a critical security threat to modern power grids, corrupting state estimation and enabling malicious control actions that can lead to severe consequences, including cascading failures, large-scale blackouts, and significant economic losses. While detecting attacks is important, accurately localizing compromised nodes or measurements is even more critical, as it enables timely mitigation, targeted response, and enhanced system resilience beyond what detection alone can offer. Existing research typically models topological features using fixed structures, which can introduce irrelevant information and affect the effectiveness of feature extraction. To address this limitation, this… More >

Tong Wu^*, Dawei Zhou

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3067-3094, 2025, DOI:10.32604/cmc.2025.066525 - 23 September 2025

Abstract Fault attacks have emerged as an increasingly effective approach for integrated circuit security attacks due to their short execution time and minimal data requirement. However, the lack of a unified leakage model remains a critical challenge, as existing methods often rely on algorithm-specific details or prior knowledge of plaintexts and intermediate values. This paper proposes the Fault Probability Model based on Hamming Weight (FPHW) to address this. This novel statistical framework quantifies fault attacks by solely analyzing the statistical response of the target device, eliminating the need for attack algorithm details or implementation specifics. Building… More >