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23 pages, 3081 KB  
Article
Reservoir Characteristics and Shale Oil Enrichment of Shale Laminae in the Chang 7 Member, Ordos Basin
by Mengying Li, Wenzheng Li, Mingfeng Gu, Songtao Wu, Pengwan Wang, Yuce Wang, Quanbin Cao, Zhehang Xu and Yi Hao
Energies 2025, 18(20), 5342; https://doi.org/10.3390/en18205342 (registering DOI) - 10 Oct 2025
Abstract
The laminae of lacustrine shale in China have been systematically identified and characterized by a combination of core/slice observations, mineral compositions, geochemical analysis, pore structure characterization, and oil-bearing evaluation. The shale of the Chang 7 Member, Yanchang Formation, Ordos Basin was examined as [...] Read more.
The laminae of lacustrine shale in China have been systematically identified and characterized by a combination of core/slice observations, mineral compositions, geochemical analysis, pore structure characterization, and oil-bearing evaluation. The shale of the Chang 7 Member, Yanchang Formation, Ordos Basin was examined as an example in the study. Four types of laminae are developed in the Chang 7 Member, including felsic laminae (FQL), clay laminae (CLL), organic matter laminae (OML), and tuff laminae (TUL). The shale reservoirs exhibit significant heterogeneity. Of these, FQL and TUL have superior reservoir characteristics. The pore diameter of TUL is primarily composed of micrometer-sized secondary pores that are generated during the diagenesis process, while mesopore and macropore development are dominant in FQL. The main source laminae in the Chang 7 Member of the Ordos Basin are the OML and CLL, while the main reservoir laminae are the FQL and TUL. Some of the hydrocarbons produced by hydrocarbon generation are stored in the pore space inside the laminae, while the majority migrate to the inorganic pores of the adjacent FQL and TUL. It confirms that OML and CLL afford abundant shale oil, the combination of organic pores and inorganic pores in FQL and TUL serve as reservoir space, and the “clay generation-siliceous reservoir” shale oil enrichment model is established in the Chang 7 Member of Ordos Basin. Full article
23 pages, 8747 KB  
Article
Dietary Acrylamide Induces Depression via SIRT3-Mediated Mitochondrial Oxidative Injury: Evidence from Multi-Omics and Mendelian Randomization
by Lele Zhang, Shun Li, Shengjie Liu and Zhenjie Wang
Curr. Issues Mol. Biol. 2025, 47(10), 836; https://doi.org/10.3390/cimb47100836 (registering DOI) - 10 Oct 2025
Abstract
Acrylamide (ACR), a common dietary pro-oxidant generated in heat-processed foods, disrupts mitochondrial redox homeostasis. While its neurotoxic effects are recognized, the role of ACR in depression remains poorly understood. We hypothesized that dietary ACR exposure promotes depression via SIRT3-dependent mitochondrial oxidative injury. Through [...] Read more.
Acrylamide (ACR), a common dietary pro-oxidant generated in heat-processed foods, disrupts mitochondrial redox homeostasis. While its neurotoxic effects are recognized, the role of ACR in depression remains poorly understood. We hypothesized that dietary ACR exposure promotes depression via SIRT3-dependent mitochondrial oxidative injury. Through an integrative approach combining network toxicology (to prioritize candidate targets), transcriptomics, and Mendelian randomization (MR), we identified SIRT3 as the central mediator. Molecular dynamics simulations demonstrated that ACR’s primary metabolite glycidamide (GA) formed more stable and rigid complexes with key targets (including SIRT3, TP53, CASP3, JUN, PTGS2, and PTK2) than ACR itself, as evidenced by superior structural stability, reduced flexibility, and enhanced hydrogen bonding. Transcriptomic analysis of the human prefrontal cortex (datasets GSE54567 and GSE54568) revealed mitochondrial deacetylase sirtuin 3 (SIRT3) as the most significantly suppressed gene in depression (p < 0.01), suggesting an impairment in Superoxide dismutase 2 (SOD2)-mediated antioxidant defense. MR further established JUN and PTK2 as causal genetic risk factors for depression (JUN: Odds Ratio (OR) = 1.029, 95% CI = 1.002–1.057; PTK2: OR = 1.040, 95% CI = 1.005–1.076; JUN (OR) = 1.048, 95% CI = 1.021–1.076, PTK2: OR = 1.073, 95% CI = 1.039–1.109) of each MR estimates, while other candidates lacked genetic support. Our findings demonstrate that ACR induces depression primarily through SIRT3 suppression, activating JUN/PTK2 pathways, suggesting its potential role in environmental toxicant-induced redox imbalance. Full article
(This article belongs to the Special Issue Feature Papers in Molecular Medicine 2025)
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44 pages, 3410 KB  
Article
Design of a Multi-Method Integrated Intelligent UAV System for Vertical Greening Maintenance
by Fangtian Ying, Bingqian Zhai and Xinglong Zhao
Appl. Sci. 2025, 15(20), 10887; https://doi.org/10.3390/app152010887 (registering DOI) - 10 Oct 2025
Abstract
Vertical greening (VG) delivers measurable urban ecosystem benefits, yet maintenance is constrained by at-height safety risks, heterogeneous facade geometries, and low labor efficiency. Although unmanned aerial vehicles show promise, most studies optimize isolated modules rather than providing a user-oriented, system-level pathway. This paper [...] Read more.
Vertical greening (VG) delivers measurable urban ecosystem benefits, yet maintenance is constrained by at-height safety risks, heterogeneous facade geometries, and low labor efficiency. Although unmanned aerial vehicles show promise, most studies optimize isolated modules rather than providing a user-oriented, system-level pathway. This paper proposes a closed-loop, multi-method framework integrating the Decision-Making Trial and Evaluation Laboratory–-Analytic Network Process, the Functional Analysis System Technique, and the Theory of Inventive Problem Solving. DEMATEL-ANP models causal interdependencies among requirements and derives prioritized weights,; FAST decomposes functions and localizes conflicts, and TRIZ converts those conflicts into principle-guided structural concepts—establishing a traceable requirements → functions → conflicts → structure pipeline. We illustrate the approach at the prototype level with Rhino–KeyShot visualizations under near-facade constraints, showing how prioritized requirements propagate into candidate UAV architectures. The framework structures the identification and resolution of tightly coupled technical conflicts, supports adaptability in facade-proximal scenarios, and provides a transparent mapping from user needs to structure-level concepts. Claims are restricted to methodological feasibility; comprehensive quantitative field validation remains for future work. The framework offers a reproducible methodological reference for the systematic design and decision-making of intelligent UAV maintenance systems for VG. Full article
24 pages, 1693 KB  
Article
Lead Structure-Based Hybridization Strategy Reveals Major Potency Enhancement of SirReal-Type Sirt2 Inhibitors
by Matthias Frei, Ricky Wirawan, Thomas Wein and Franz Bracher
Int. J. Mol. Sci. 2025, 26(20), 9855; https://doi.org/10.3390/ijms26209855 (registering DOI) - 10 Oct 2025
Abstract
Selective and potent inhibitors of the NAD+-dependent deacetylase Sirt2 represent a valuable epigenetic strategy for the treatment of currently incurable diseases such as Parkinson’s disease, Huntington’s disease, Alzheimer’s disease, and multiple sclerosis. Guided by molecular docking and MM/GBSA validation studies, a [...] Read more.
Selective and potent inhibitors of the NAD+-dependent deacetylase Sirt2 represent a valuable epigenetic strategy for the treatment of currently incurable diseases such as Parkinson’s disease, Huntington’s disease, Alzheimer’s disease, and multiple sclerosis. Guided by molecular docking and MM/GBSA validation studies, a lead structure-based hybridization strategy was developed, resulting in a series of very effective Sirt2 inhibitors. With RW-93, we present a highly potent and subtype selective Sirt2 inhibitor (IC50 = 16 nM), which as a next generation SirReal-type inhibitor significantly surpasses established Sirt2 inhibitors and contributes to the extension of the current SAR profile. The structural modification strategy employed in this study proved to be highly promising, resulting in the identification of the most potent low-molecular-weight Sirt2 inhibitor reported to date, providing a promising target for further medicinal chemistry-driven SAR studies. Full article
(This article belongs to the Section Molecular Biology)
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17 pages, 4552 KB  
Article
Antiviral Efficacy of Lignan Derivatives (-)-Asarinin and Sesamin Against Foot-and-Mouth Disease Virus by Targeting RNA-Dependent RNA Polymerase (3Dpol)
by Ploypailin Semkum, Natjira Mana, Varanya Lueangaramkul, Nantawan Phetcharat, Porntippa Lekcharoensuk and Sirin Theerawatanasirikul
Vet. Sci. 2025, 12(10), 971; https://doi.org/10.3390/vetsci12100971 (registering DOI) - 10 Oct 2025
Abstract
Foot-and-mouth disease (FMD) is a highly contagious viral infection affecting livestock. Although inactivated vaccines are commonly used, their effectiveness is limited by an immunity gap. Therefore, complementary antiviral strategies are required for effective control and prevention. Lignans, plant-derived compounds, have shown promising antiviral [...] Read more.
Foot-and-mouth disease (FMD) is a highly contagious viral infection affecting livestock. Although inactivated vaccines are commonly used, their effectiveness is limited by an immunity gap. Therefore, complementary antiviral strategies are required for effective control and prevention. Lignans, plant-derived compounds, have shown promising antiviral properties, yet their potential against foot-and-mouth disease virus (FMDV) remains underexplored. This study employed virtual screening to identify lignan compounds targeting viral RNA-dependent RNA polymerase (3Dpol). Six lignan compounds were selected for cytotoxicity and antiviral activity evaluation including pre-viral entry, post-viral entry, and protective effect assays. Antiviral activity assay showed that (-)-asarinin and sesamin exhibit potent inhibition effects in the post-viral entry with EC50 of 15.11 μM and 52.98 μM, respectively, using immunoperoxidase monolayer assay. Both compounds exhibited dose-dependent reduction in viral replication with significant suppression of negative-strand RNA production. Lignans’ ability to target FMDV 3Dpol was further confirmed using a cell-based FMDV minigenome assay. Among the tested lignans, (-)-asarinin demonstrated remarkable inhibition of GFP expression (IC50 value at 10.37 μM), while sesamin required a higher concentration for similar effects. In silico prediction revealed that these lignans preferentially bind to FMDV 3Dpol active site. These findings are the first to establish (-)-asarinin and sesamin as promising antiviral candidates against FMDV. Full article
(This article belongs to the Section Veterinary Microbiology, Parasitology and Immunology)
24 pages, 1535 KB  
Article
Parking Choice Analysis of Automated Vehicle Users: Comparing Nested Logit and Random Forest Approaches
by Ying Zhang, Chu Zhang, He Zhang, Jun Chen, Shuhong Meng and Weidong Liu
Systems 2025, 13(10), 891; https://doi.org/10.3390/systems13100891 (registering DOI) - 10 Oct 2025
Abstract
Parking shortages and high costs in Chinese central business districts (CBDs) remain major urban challenges. Emerging automated vehicles (AVs) are expected to diversify parking options and mitigate these problems. However, AV users’ parking preferences and their influencing factors within existing urban zoning frameworks [...] Read more.
Parking shortages and high costs in Chinese central business districts (CBDs) remain major urban challenges. Emerging automated vehicles (AVs) are expected to diversify parking options and mitigate these problems. However, AV users’ parking preferences and their influencing factors within existing urban zoning frameworks remain unclear. This study examines Nanjing as a representative case, proposing six distinct AV parking modes. Using survey data from 4644 responses collected from 1634 potential users, we employed nested logit models and random forest algorithms to analyze parking choice behavior. Results indicate that diversified AV parking modes would significantly reduce CBD parking demand. Users with medium- to long-term needs prefer home-parking, while short-term users favor CBD proximity. Key influencing factors include parking service satisfaction, duration, congestion time, AV punctuality, and individual characteristics, with satisfaction attributes showing the greatest impact across all modes. Comparative analysis reveals that random forest algorithms provide superior predictive accuracy for parking mode importance, while nested logit models better explain causal relationships between choices and influencing factors. This study establishes a dual analytical framework combining interpretability and predictive accuracy for urban AV parking research, providing valuable insights for transportation management and future metropolitan studies. Full article
21 pages, 5514 KB  
Article
Dynamic Constitutive Model of Basalt Fiber Concrete After High Temperature Based on Fractional Calculus
by Wenbiao Liang, Kai Ding, Yan Li, Yue Zhai, Lintao Li and Yi Tian
Materials 2025, 18(20), 4657; https://doi.org/10.3390/ma18204657 (registering DOI) - 10 Oct 2025
Abstract
Concrete materials undergo a series of physical and chemical changes under high temperature, leading to the degradation of mechanical properties. This study investigates basalt fiber-reinforced concrete (BFRC) through high-temperature testing using the split Hopkinson pressure bar (SHPB) apparatus. Impact compression tests were conducted [...] Read more.
Concrete materials undergo a series of physical and chemical changes under high temperature, leading to the degradation of mechanical properties. This study investigates basalt fiber-reinforced concrete (BFRC) through high-temperature testing using the split Hopkinson pressure bar (SHPB) apparatus. Impact compression tests were conducted on specimens after exposure to elevated temperatures to analyze the effects of varying fiber content, temperature levels, and impact rates on the mechanical behaviors of BFRC. Based on fractional calculus theory, a dynamic constitutive equation was established to characterize the viscoelastic properties and high-temperature damage of BFRC. The results indicate that the dynamic compressive strength of BFRC decreases significantly with increasing temperature but increases gradually with higher impact rates, demonstrating fiber-toughening effects, thermal degradation effects, and strain rate strengthening effects. The proposed constitutive model aligns well with the experimental data, effectively capturing the dynamic mechanical behaviors of BFRC after high-temperature exposure, including its transitional mechanical characteristics across elastic, viscoelastic, and viscous states. The viscoelastic behaviors of BFRC are fundamentally attributed to the synergistic response of its multi-phase composite system across different scales. Basalt fibers enhance the material’s elastic properties by improving the stress transfer mechanism, while high-temperature exposure amplifies its viscous characteristics through microstructural deterioration, chemical transformations, and associated thermal damage. Full article
(This article belongs to the Section Construction and Building Materials)
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29 pages, 5471 KB  
Article
Game Theory-Based Bi-Level Capacity Allocation Strategy for Multi-Agent Combined Power Generation Systems
by Zhiding Chen, Yang Huang, Yi Dong and Ziyue Ni
Energies 2025, 18(20), 5338; https://doi.org/10.3390/en18205338 (registering DOI) - 10 Oct 2025
Abstract
The wind–solar–storage–thermal combined power generation system is one of the key measures for China’s energy structure transition, and rational capacity planning of each generation entity within the system is of critical importance. First, this paper addresses the uncertainty of wind and photovoltaic (PV) [...] Read more.
The wind–solar–storage–thermal combined power generation system is one of the key measures for China’s energy structure transition, and rational capacity planning of each generation entity within the system is of critical importance. First, this paper addresses the uncertainty of wind and photovoltaic (PV) power outputs through scenario-based analysis. Considering the diversity of generation entities and their complex interest demands, a bi-level capacity optimization framework based on game theory is proposed. In the upper-level framework, a game-theoretic method is designed to analyze the multi-agent decision-making process, and the objective function of capacity allocation for multiple entities is established. In the lower-level framework, multi-objective optimization is performed on utility functions and node voltage deviations. The Nash equilibrium of the non-cooperative game and the Shapley value of the cooperative game are solved to study the differences in the capacity allocation, economic benefits, and power supply stability of the combined power generation system under different game modes. The case study results indicate that under the cooperative game mode, when the four generation entities form a coalition, the overall system achieves the highest supply stability, the lowest carbon emissions at 30,195.29 tons, and the highest renewable energy consumption rate at 53.93%. Moreover, both overall and individual economic and environmental performance are superior to those under the non-cooperative game mode. By investigating the capacity configuration and joint operation strategies of the combined generation system, this study effectively enhances the enthusiasm of each generation entity to participate in the energy market; reduces carbon emissions; and promotes the development of a more efficient, environmentally friendly, and economical power generation model. Full article
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20 pages, 2140 KB  
Article
Human Small Airway Epithelia Reveal Dichloroacetate as a Broad-Spectrum Antiviral Against Respiratory Viruses
by Paula Martínez de Iturrate, Bruno Hernáez, Patricia de los Santos, Yolanda Sierra-Palomares, Alba García-Gómez, Alonso Sánchez-Cruz, Catalina Hernández-Sánchez, Luis Rivas, Margarita del Val and Eduardo Rial
Int. J. Mol. Sci. 2025, 26(20), 9853; https://doi.org/10.3390/ijms26209853 (registering DOI) - 10 Oct 2025
Abstract
Respiratory viral infections are a major cause of morbidity and mortality worldwide. The COVID-19 pandemic has evidenced the need for broad-spectrum antivirals and improved preclinical models that more accurately recapitulate human respiratory disease. These new strategies should also involve the search for drug [...] Read more.
Respiratory viral infections are a major cause of morbidity and mortality worldwide. The COVID-19 pandemic has evidenced the need for broad-spectrum antivirals and improved preclinical models that more accurately recapitulate human respiratory disease. These new strategies should also involve the search for drug targets in the infected cell that hamper the development of resistance and of potential efficacy against diverse viruses. Since many viruses reprogram cellular metabolism to support viral replication, we performed a comparative analysis of inhibitors targeting the PI3K/AKT/mTOR pathway, central to virus-induced metabolic adaptations, using MRC5 lung fibroblasts and Huh7 hepatoma cells. HCoV-229E infection in MRC5 cells caused the expected shift in the energy metabolism but the inhibitors had markedly different effects on the metabolic profile and antiviral activity in these two cell lines. Dichloroacetate (DCA), a clinically approved inhibitor of aerobic glycolysis, showed antiviral activity against HCoV-229E in MRC5 cells, but not in Huh7 cells, underscoring that the screening model is more critical than previously assumed. We further tested DCA in polarized human small airway epithelial cells cultured in air–liquid interface, a 3D model that mimics the human respiratory tract. DCA reduced the viral progeny of HCoV-229E, SARS-CoV-2, and respiratory syncytial virus by 2–3 orders of magnitude, even when administered after infection was established. Our work reinforces the need for advanced human preclinical screening models to identify antivirals that target host metabolic pathways frequently hijacked by respiratory viruses, and establishes DCA as a proof-of-concept candidate. Full article
(This article belongs to the Special Issue Molecular Mechanisms and Treatments Targeting Respiratory Diseases)
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11 pages, 4860 KB  
Article
Optimization and Evaluation of Carbon/Carbon Thermal Insulation Tube CVI Densification for Czochralski Monocrystalline Silicon Rod
by Miaoxian Lyu, Huiling Liang, Jianyong Zhan and Jicheng Zhou
Coatings 2025, 15(10), 1192; https://doi.org/10.3390/coatings15101192 (registering DOI) - 10 Oct 2025
Abstract
Crystalline silicon photovoltaic power generation is a renewable energy source vigorously developed worldwide, while high-quality carbon/carbon thermal insulation tubes serve as key core components for fabricating high-performance large-diameter photovoltaic monocrystalline silicon rods. However, the isothermal chemical vapor infiltration densification process of large-diameter carbon/carbon [...] Read more.
Crystalline silicon photovoltaic power generation is a renewable energy source vigorously developed worldwide, while high-quality carbon/carbon thermal insulation tubes serve as key core components for fabricating high-performance large-diameter photovoltaic monocrystalline silicon rods. However, the isothermal chemical vapor infiltration densification process of large-diameter carbon/carbon thermal insulation tubes is complex and difficult to predict, and how to improve the radial and axial density uniformity of the insulation tubes remains an urgent issue to be addressed. To tackle this problem, this paper constructs a transient three-dimensional multi-field coupled model for the isothermal chemical vapor infiltration densification process. An optimization strategy involving the introduction of graphite pads is proposed, and the crucial factors affecting densification, uniformity, and densification rate are investigated. Moreover, a detailed geometric model, appropriate meshing method, and effective multi-field coupled simulation scheme are developed. This establishes a highly efficient simulation framework for multi-field coupling. Additionally, the role of the graphite pad is thoroughly explored, revealing that the thickness of the graphite pad is a crucial factor influencing the densification results. Numerical results demonstrate that when the graphite pad thickness is 80 mm, the average density of the insulation tube increases by 47% (from 0.975 × 103 kg/m3 to 1.436 × 103 kg/m3), with a densification rate of 2.55 × 10−3 kg/m/s, achieving optimal performance. This work provides valuable insights for evaluating the performance of carbon/carbon thermal insulation tubes of various sizes and offers a practical process reference value for the new product development. Full article
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30 pages, 58970 KB  
Article
Aspirin Eugenol Ester Alleviates Vascular Endothelial Ferroptosis by Enhancing Antioxidant Ability and Inhibiting the JNK/c-Jun/NCOA4/FTH Signaling Pathway
by Ji Feng, Qi Tao, Zhi-Jie Zhang, Qin-Fang Yu, Ya-Jun Yang and Jian-Yong Li
Antioxidants 2025, 14(10), 1220; https://doi.org/10.3390/antiox14101220 (registering DOI) - 10 Oct 2025
Abstract
Oxidative stress occurs within bovine when exposed to harmful stimuli, accompanied by substantial accumulation of reactive oxygen species. Without timely clearance, these reactive oxygen species attack vascular endothelial cells, concurrently inducing extensive production of lipid peroxides within the vascular endothelium, and thereby triggering [...] Read more.
Oxidative stress occurs within bovine when exposed to harmful stimuli, accompanied by substantial accumulation of reactive oxygen species. Without timely clearance, these reactive oxygen species attack vascular endothelial cells, concurrently inducing extensive production of lipid peroxides within the vascular endothelium, and thereby triggering ferroptosis. Aspirin eugenol ester (AEE) showed pharmacological activity against oxidative stress-induced vascular endothelial damage. However, whether it could alleviate vascular endothelial damage by inhibiting ferroptosis remains unclear. This study aimed to evaluate the effects of AEE on vascular endothelial ferroptosis and elucidate its underlying molecular mechanisms. This study established vascular endothelial damage models in vitro and in vivo to explore the ability of AEE to inhibit ferroptosis and oxidative stress by measuring ferroptosis- and oxidative stress-related biomarkers. Transcriptomic and network pharmacology analyses were performed to identify AEE-regulated pathways and key targets. Validation of the pathways were conducted using molecular docking, cellular thermal shift assay, and specific protein agonists/inhibitors. AEE inhibited oxidative stress and ferroptosis in bovine aortic endothelial cells induced by hydrogen peroxide (H2O2) or RSL3 via suppressing the upregulation of ferroptosis-related genes and enhancing the expression of antioxidant genes. Transcriptomic and network pharmacology analyses identified JNK as a core target of AEE in regulating ferroptosis. JNK agonists enhanced H2O2-induced ferritinophagy; on the contrary, JNK inhibitors alleviated it. AEE suppressed H2O2-induced phosphorylation of JNK/c-Jun and ferritinophagy. In a carrageenan-induced rat aortic vascular endothelial damage model, AEE alleviated vascular endothelial damage and ferroptosis-related gene changes, promoted antioxidant gene expression, and inhibited JNK/c-Jun phosphorylation and ferritinophagy. AEE inhibited vascular endothelial ferroptosis by enhancing antioxidant ability, blocking downstream ferritinophagy, and reducing ferrous ion release. Full article
(This article belongs to the Section Aberrant Oxidation of Biomolecules)
16 pages, 11319 KB  
Article
Dynamic Response Mechanism and Risk Assessment of Threaded Connections During Jarring Operations in Ultra-Deep Wells
by Zhe Wang, Chunsheng Wang, Zhaoyang Zhao, Shaobo Feng, Ning Li, Xiaohai Zhao and Zhanghua Lian
Modelling 2025, 6(4), 123; https://doi.org/10.3390/modelling6040123 (registering DOI) - 10 Oct 2025
Abstract
With the frequent occurrence of stuck pipe incidents during the ultra-deep well drilling operation, the hydraulic-while-drilling (HWD) jar has become a critical component of the bottom hole assembly (BHA). However, during jarring operations for stuck pipe release, the drill string experiences severe vibrations [...] Read more.
With the frequent occurrence of stuck pipe incidents during the ultra-deep well drilling operation, the hydraulic-while-drilling (HWD) jar has become a critical component of the bottom hole assembly (BHA). However, during jarring operations for stuck pipe release, the drill string experiences severe vibrations induced by the impact loads from the jar, which significantly alter the stress state and dynamic response of the threaded connections—the structurally weakest elements—under cyclic dynamic loading, often leading to fracture failures. here, a thread failure incident of a hydraulic jar in an ultra-deep well in the Tarim Basin, Xinjiang, is investigated. A drill string dynamic impact model incorporating the actual three-dimensional wellbore trajectory is established to capture the time-history characteristics of multi-axial loads at the threaded connection during up and down jarring. Meanwhile, a three-dimensional finite element model of a double-shouldered threaded connection with helix angle is developed, and the stress distribution of the joint thread is analyzed on the boundary condition acquired from the time-history characteristics of multi-axial loads. Numerical results indicate that the axial compression induces local bending of the drill string during down jarring, resulting in significantly greater bending moment fluctuations than in up jarring and a correspondingly higher amplitude of circumferential acceleration at the thread location. Among all thread positions, the first thread root at the pin end consistently experiences the highest average stress and stress variation, rendering it most susceptible to fatigue failure. This study provides theoretical and practical insights for optimizing drill string design and enhancing the reliability of threaded connections in deep and ultra-deep well drilling. Full article
(This article belongs to the Topic Oil and Gas Pipeline Network for Industrial Applications)
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34 pages, 1592 KB  
Article
Enhanced Airfoil Design Optimization Using Hybrid Geometric Neural Networks and Deep Symbiotic Genetic Algorithms
by Özlem Batur Dinler
Appl. Sci. 2025, 15(20), 10882; https://doi.org/10.3390/app152010882 (registering DOI) - 10 Oct 2025
Abstract
Optimal airfoil design remains a critical challenge in aerodynamic engineering, with traditional methods requiring extensive computational resources and iterative processes. This paper presents GEO-DSGA, a novel framework integrating hybrid geometric neural networks with deep symbiotic genetic algorithms for enhanced airfoil optimization. The methodology [...] Read more.
Optimal airfoil design remains a critical challenge in aerodynamic engineering, with traditional methods requiring extensive computational resources and iterative processes. This paper presents GEO-DSGA, a novel framework integrating hybrid geometric neural networks with deep symbiotic genetic algorithms for enhanced airfoil optimization. The methodology employs graph-based representations of airfoil geometries through a hybrid architecture combining graph convolutional networks with traditional deep learning, enabling precise capture of spatial geometric relationships. The parametric modeling stage utilizes CST, Bézier curves, and PARSEC methods to generate mathematically robust airfoil representations, subsequently transformed into graph structures preserving local and global shape characteristics. The optimization framework incorporates a deep symbiotic genetic algorithm enhanced with dominant feature phenotyping, applying biological symbiotic principles where design parameters achieve superior performance through mutual enhancement rather than independent optimization. This systematic exploration maintains geometric feasibility and aerodynamic validity throughout the design space. Experimental results demonstrate an 88.6% reduction in computational time while maintaining prediction accuracy within 1.5% error margin for aerodynamic coefficients across diverse operating conditions. The methodology successfully identifies airfoil geometries outperforming baseline NACA profiles by up to 12% in lift-to-drag ratio while satisfying manufacturing and structural constraints, establishing GEO-DSGA as a significant advancement in computational aerodynamic design optimization. Full article
21 pages, 1577 KB  
Article
Copper Closed-Loop Supply Chain Network Design Based on a Two-Stage Stochastic Programming Model Considering Uncertain Market Prices
by Mou Shen, Ying Guo, Hui Gao and Hongtao Ren
Sustainability 2025, 17(20), 8977; https://doi.org/10.3390/su17208977 (registering DOI) - 10 Oct 2025
Abstract
Copper is a critically important metal for economic security, and its supply chain is influenced by various factors, particularly market prices. This paper aims to uncover the impact of high uncertainty in copper prices on the copper supply chain (CSC) configuration and propose [...] Read more.
Copper is a critically important metal for economic security, and its supply chain is influenced by various factors, particularly market prices. This paper aims to uncover the impact of high uncertainty in copper prices on the copper supply chain (CSC) configuration and propose strategies for CSC construction. To achieve this goal, this study presents a closed-loop supply chain (CLSC) network, simulates copper market volatility using the geometric Brownian motion (GBM) model, and establishes a two-stage stochastic programming (TSSP) model. An empirical study was conducted using geographical and economic data of the CSC in the Chinese province of Hunan. The research results indicate that there is a threshold in copper prices that can lead to the construction of a reverse supply chain (RSC). However, significant fluctuations in copper prices introduce uncertainty into the supply chain network configuration. Therefore, policy measures to encourage copper scrap recycling should be implemented to maintain the safety of the CLSC during market instability. The proposed modelling framework for addressing fluctuation factors in supply chain design has been validated and can be promoted to other similar industries affected by markets. Full article
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15 pages, 3314 KB  
Article
Numerical Investigation of the Pneumatic Performance of Vacuum-Assisted Biopsy
by Chu Li, Ziying Zhang, Echuan Yang, Jiongxin Wang and Shuai Ma
Fluids 2025, 10(10), 262; https://doi.org/10.3390/fluids10100262 (registering DOI) - 10 Oct 2025
Abstract
Vacuum-assisted biopsy needle is an important tool for minimally invasive tissue sampling. Its procedural efficiency is largely compromised by the limited pneumatic efficiency and the recurrent tissue winding problem. In this study, a fluid dynamics model of vacuum-assisted biopsy is established, and its [...] Read more.
Vacuum-assisted biopsy needle is an important tool for minimally invasive tissue sampling. Its procedural efficiency is largely compromised by the limited pneumatic efficiency and the recurrent tissue winding problem. In this study, a fluid dynamics model of vacuum-assisted biopsy is established, and its pneumatic performance is investigated. The analysis focuses on the interplay between pneumatic efficiency and structural design, particularly examining how geometric parameters influence the internal flow dynamics. The results demonstrate that the vacuum pressure applied linearly increases the flow rate. The main energy loss is located at the inlet area. Key findings reveal trade-offs between flow enhancement and winding risks, where anti-winding structures improve tissue winding but impair the pneumatic efficiency. The study can provide guidance for the structural optimization design of vacuum-assisted biopsy needles. Full article
(This article belongs to the Section Mathematical and Computational Fluid Mechanics)
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