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Keywords = high-temperature environment

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31 pages, 4250 KB  
Article
Impact of the Built Environment on Public Sentiment During Winter in Cold-Region Cities: A Case Study of Harbin Based on Social Media
by Ying Zhai, Hailiang Lv, Jianbin Pan and Peng Ji
Buildings 2026, 16(13), 2560; https://doi.org/10.3390/buildings16132560 (registering DOI) - 26 Jun 2026
Abstract
While the influence of the urban built environment on public emotions has garnered extensive attention, existing studies predominantly focus on temperate climates or warmer seasons. As a result, they rarely extend their scope to winter-specific emotions in cold-region cities, thereby overlooking the complex [...] Read more.
While the influence of the urban built environment on public emotions has garnered extensive attention, existing studies predominantly focus on temperate climates or warmer seasons. As a result, they rarely extend their scope to winter-specific emotions in cold-region cities, thereby overlooking the complex human–environment emotional interactions under extreme climates. To bridge this seasonal research gap, this study develops an innovative analytical framework integrating Large Language Models (LLMs) with Multiscale Geographically Weighted Regression (MGWR). Drawing on social media data, this framework leverages the powerful zero-shot reasoning capabilities of LLMs to precisely quantify the two-dimensional emotional characteristics of Valence and Arousal. Concurrently, by incorporating the multi-scale spatial modeling strengths of MGWR, it thoroughly investigates the spatial patterns and driving mechanisms of public emotions within the winter context of typical cold-region cities. The results indicate that, first, extreme climates do not lead to urban emotional suppression; instead, frozen rivers transform into vibrant emotional corridors, with the public demonstrating a high degree of thermal-psychological adaptability. Second, by incorporating winter-specific environmental variables, the research reveals a cold-region paradox of emotional valence. Specifically, under snow cover, lower winter Land Surface Temperature (LST) and winter Normalized Difference Vegetation Index (NDVI) paradoxically evoke positive emotions by reconstructing the aesthetic experience of ice-snow landscapes. Furthermore, the impact of urban service facilities on emotional arousal exhibits a significant pattern of diminishing marginal utility. Overall, the LLMs-MGWR framework achieves a closed loop of high-throughput, multi-dimensional semantic decoding and multi-scale spatial interpretation, demonstrating exceptional cross-regional generalizability. Ultimately, this study not only provides a novel paradigm for understanding human–environment interactions in complex environments but also offers transferable planning guidelines for microclimate design, facility decentralization, and the reshaping of winter blue-green infrastructure in global cold-region cities. Full article
(This article belongs to the Section Architectural Design, Urban Science, and Real Estate)
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28 pages, 76006 KB  
Article
Large-Diameter Diaphragm Fabry–Pérot Interferometer for High-Sensitivity Temperature Sensing Using a Hermetically Sealed Tunable Medium: Up to 190 nm/K
by Anthony Weir, Dubhaltach Mac Lochlainn, Helio Musselwhite-Veitch, Gerard Dooly and Dinesh Babu Duraibabu
Sensors 2026, 26(13), 4071; https://doi.org/10.3390/s26134071 (registering DOI) - 26 Jun 2026
Abstract
This paper presents a proof-of-concept investigation into a novel hermetically sealed tunable-medium Extrinsic Fabry–Pérot Interferometer (EFPI) temperature sensor architecture. A series of tuneable-sensitivity EFPI temperature sensors is demonstrated, comprising a large-diameter fused silica diaphragm with a 800 m diameter, significantly exceeding conventional designs [...] Read more.
This paper presents a proof-of-concept investigation into a novel hermetically sealed tunable-medium Extrinsic Fabry–Pérot Interferometer (EFPI) temperature sensor architecture. A series of tuneable-sensitivity EFPI temperature sensors is demonstrated, comprising a large-diameter fused silica diaphragm with a 800 m diameter, significantly exceeding conventional designs (typically ∼125 m), with polished diaphragm thicknesses ranging from 28 to 49 m, housed in hermetically sealed rigid melting point capillaries with a 1.8 mm internal diameter. By exploiting thermally induced pressure differentials generated by a tunable Krytox GPL 105 oil/air fill fraction within the sealed rigid cavity, the sensors demonstrate a continuously tuneable sensitivity design space spanning 0.45 to 190 nm/K. An exact nonlinear thermal pressure model is derived and validated, replacing the linearised approximation which is shown to be inapplicable at fill fractions approaching unity. The low-sensitivity configuration (0.45 nm/K) was characterised at the National Standards Authority of Ireland (NSAI) National Metrology Laboratory against ITS-90 fixed points: the Triple Point of Water (273.16 K) and the Gallium Fixed Point (302.9146 K), with traceability to the International Temperature Scale of 1990 (ITS-90), yielding an instrument-limited resolution of <1.1 mK, consistent with the metrological validation environment. The high-sensitivity configurations (21 and 190 nm/K) were characterised on a laboratory bench, achieving instrument-limited theoretical resolutions of <24 K and <2.6K respectively, pending future metrological validation. The 190 nm/K sensitivity represents an improvement of approximately 21.7× over the closest directly comparable prior Citationutilised fusion splicing and manual polishing. Future development priorities include metrological validation of the high-sensitivity configurations, long-term stability characterisation, thermal cycling, and progression towards an all-glass hermetically sealed construction. Full article
(This article belongs to the Special Issue Advances and Innovations in Optical Fiber Sensors)
25 pages, 3376 KB  
Article
Intravenous Everolimus Formulation (Sapu003) for Clinical Trials
by Sheng-Hao Min, Kevin Forero, William Putnam, Jonathan Anderson, Robert Hoff, John Lopp, Vuong Trieu, Kwun Ho and Cynthia Lee
Int. J. Mol. Sci. 2026, 27(13), 5775; https://doi.org/10.3390/ijms27135775 (registering DOI) - 26 Jun 2026
Abstract
Everolimus is approved for the treatment of advanced renal cell carcinoma after VEGF-targeted therapy, metastatic HR-positive/HER2-negative breast cancer in combination with exemestane, and other oncologic indications. However, an intravenous option has not been developed, largely due to its pronounced hydrophobicity and limited oral [...] Read more.
Everolimus is approved for the treatment of advanced renal cell carcinoma after VEGF-targeted therapy, metastatic HR-positive/HER2-negative breast cancer in combination with exemestane, and other oncologic indications. However, an intravenous option has not been developed, largely due to its pronounced hydrophobicity and limited oral bioavailability of approximately 15–20%. In this study, we report the development of Sapu003, a novel intravenous Everolimus7 formulation enabled through the Deciparticle™ platform. A diverse library of mPEG-based block copolymers was evaluated for their ability to encapsulate Everolimus and self-assemble into stable nanoparticle structures. mPEG-Chol was ultimately selected based on its favorable biocompatibility characteristics. In addition to Everolimus, mPEG-Chol and related analogs demonstrated broad formulation compatibility with multiple hydrophobic therapeutics, including Sirolimus, Tacrolimus, Cyclosporine, as well as representative peptides and polyketides. Clinical manufacturing was conducted in a cGMP environment over a 7-day production cycle. Production was carried out under amber light using light-protective vials to reduce drug degradation. The bulk material was sterile-filtered, and subsequent fill/finish/lyophilization operations were performed under temperature-controlled conditions with high precision in fill accuracy (≥98%). After reconstitution, the final product yielding uniform Deciparticles™ that met predefined sterility and particle size criteria. Stability studies demonstrated that the formulation remained stable for at least one month at 5 °C and retained acceptable in-use stability for at least 24 h at room temperature. The process was successfully scaled beyond 10 g, supporting an ongoing Phase 1b open-label dose escalation clinical study of Sapu003 in combination with exemestane in patients with advanced mTOR-sensitive solid tumors (NCT07369505). In vivo evaluation demonstrated strong antitumor efficacy following intravenous administration (QW × 3), with tumor growth inhibition reaching 97–98% in the U-87MG glioblastoma xenograft model. No evidence of phlebitis was observed with repeated tail vein dosing. In this model, Sapu003 dosed weekly showed superior tumor suppression compared with oral Everolimus. Collectively, screening of a mPEG-block copolymer library identified mPEG-Chol as a lead excipient capable of consistently forming stable Deciparticles™ with sub-20 nm mean particle size. The resulting intravenous Everolimus formulation demonstrated scalable manufacturing, favorable stability, and potent antitumor activity in preclinical models, supporting further clinical evaluation of Sapu003 in advanced solid tumors. Full article
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21 pages, 5880 KB  
Article
An Enhanced Absolute Eddy Current Probe for Surface Cracks Detection at High Temperatures
by Zhiying Liu, Wenze Shi, Chao Lu, Tuan Zhu, Hongyu Sun, Zhonghao Luo, Gongpeng Yang and Yiping Liang
Sensors 2026, 26(13), 4056; https://doi.org/10.3390/s26134056 - 26 Jun 2026
Abstract
Non-destructive evaluation of surface cracks in Inconel 718 nickel-based alloys operating at high temperatures is crucial for monitoring aero-engine hot-section components. Conventional eddy current testing is often constrained by thermal core degradation and low signal-to-noise ratios, struggling to meet detection requirements in such [...] Read more.
Non-destructive evaluation of surface cracks in Inconel 718 nickel-based alloys operating at high temperatures is crucial for monitoring aero-engine hot-section components. Conventional eddy current testing is often constrained by thermal core degradation and low signal-to-noise ratios, struggling to meet detection requirements in such extreme environments. To address this, this study proposes an optimized absolute probe integrated with an efficient water-cooling system. A multi-physics finite element model was developed to optimize the probe design, focusing on key parameters such as excitation frequency and the geometric dimensions of the coil and ferrite core. Experimental results demonstrate that the optimized probe significantly enhances detection sensitivity over conventional models. Specifically, the peak amplitude increased by 76.2% and the signal-to-noise improved by nearly 10 dB for a 0.3 mm-deep crack. In practical applications, the probe achieves high-sensitivity detection of a 0.3 mm-deep crack at 500 °C. At 600 °C, it reliably detects a 0.5 mm-deep crack with a coefficient of variation not exceeding 3.5% and it retains detection capabilities even at 650 °C. Therefore, this sensor design strategy proves to be a highly viable method for non-destructive evaluation in extreme industrial thermal environments. Full article
(This article belongs to the Special Issue Intelligent Sensors and Signal Processing in Industry—2nd Edition)
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20 pages, 3622 KB  
Article
Landscape Genomics and Climate Projections Reveal Genomic Offset and Provenance Vulnerability in Picea sitchensis
by Tomás Byrne, Niall Farrelly, Colin T. Kelleher, Trevor R. Hodkinson and Susanne Barth
Forests 2026, 17(7), 743; https://doi.org/10.3390/f17070743 - 26 Jun 2026
Abstract
Sitka spruce (Picea sitchensis (Bong.) Carr.) is the dominant plantation conifer in Atlantic Europe, yet the genomic basis of provenance-level climate adaptation remains poorly resolved. We applied gradient forest analysis to 31,049 genome-wide SNPs from 1106 individual trees representing 79 native-range provenances [...] Read more.
Sitka spruce (Picea sitchensis (Bong.) Carr.) is the dominant plantation conifer in Atlantic Europe, yet the genomic basis of provenance-level climate adaptation remains poorly resolved. We applied gradient forest analysis to 31,049 genome-wide SNPs from 1106 individual trees representing 79 native-range provenances in the IUFRO collection, using three environmental predictors retained after collinearity screening: Longitude, Temperature Seasonality, and Annual Precipitation. Longitude was the dominant driver of genomic turnover (mean R2 = 0.01168), followed by Temperature Seasonality (0.00672) and Annual Precipitation (0.00228), reflecting the long-distance coastal gradient of the native range. A redundancy analysis conditioned on ancestry principal components confirmed a significant multivariate genotype–environment association (F = 8.679, p = 0.001). Genomic offset was negatively correlated with all three provenance-level performance traits measured at the IUFRO common garden after 50 years of growth: height, stem diameter and stem quality, providing empirical validation of the genomic-climatic framework. Projecting the fitted model onto European planting sites using an 8-GCM CMIP6 ensemble showed mean offset increasing from 0.0021 (SSP2-4.5, 2041–2060) to 0.0041 (SSP5-8.5, 2061–2080), with the most climate-exposed cells under the high-emission late-century scenario approaching the upper tail of the source population offset distribution. The European planting region showed a higher projected offset than the North American source range under all scenarios. This supports the hypothesis that provenances from Oregon to southern British Columbia are most suited for planting in regions under future Atlantic European conditions. Full article
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15 pages, 8191 KB  
Article
Effect of Annealing Temperature on Microstructure and Properties of Ti–Microalloyed High–Strength Steel for Photovoltaic Mounting Structures
by Xixiao Liu, Jie Liu, Lan Su, Yundong Wang, Xiangting Zhang and Zhengzhi Zhao
Metals 2026, 16(7), 700; https://doi.org/10.3390/met16070700 (registering DOI) - 25 Jun 2026
Abstract
Photovoltaic mounting structures operate in harsh environments, demanding high strength and elongation. However, a strength–graded product series within the same composition is lacking. Through Ti microalloying and heat treatment, we developed steels with strengths of 500–800 MPa and studied annealing effects at 640–740 [...] Read more.
Photovoltaic mounting structures operate in harsh environments, demanding high strength and elongation. However, a strength–graded product series within the same composition is lacking. Through Ti microalloying and heat treatment, we developed steels with strengths of 500–800 MPa and studied annealing effects at 640–740 °C. Scanning Electron Microscope (SEM) shows ferrite and cementite: with increasing temperature, ferrite changes from elongated to equiaxed via recovery and recrystallization, while cementite remains finely dispersed along grain boundaries. Transmission Electron Microscope (TEM) reveals TiC precipitates, which decrease in number but increase in size at higher temperatures. Grain refinement strengthening, dislocation strengthening, and precipitation strengthening are the primary strengthening mechanisms, contributing 91.2% and 94.4% to the yield strength after annealing at 640 °C and 720 °C, respectively. Within a wide annealing temperature range, the tensile strength fully covers the 550–650–750–800 MPa grades, with the corresponding elongation fluctuating between 12.4% and 25.3%, achieving a good strength–ductility balance. In summary, simply adding a single Ti element and adjusting the annealing temperature allows for the production of test steels with strengths ranging from 500 to 800 MPa and matched elongation. This approach not only reduces costs but also provides experimental evidence for the process development of a series of new steels for photovoltaic mounting brackets. Full article
(This article belongs to the Special Issue Recent Advances in High-Performance Steel (2nd Edition))
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16 pages, 5173 KB  
Article
Sol–Gel Synthesis and Characterization of Mullite–Spinel Ceramics Doped with Divalent (Co2+, Ni2+) Transition Metal Ions
by Tsvetan Dimitrov, Rositsa Titorenkova, Ivan Tsanev, Daniela Kovacheva, Mariela Minova and Irena Markovska
Crystals 2026, 16(7), 413; https://doi.org/10.3390/cryst16070413 - 25 Jun 2026
Abstract
Co- and Ni-doped mullite–spinel ceramics were synthesized via a sol–gel method followed by high-temperature sintering in order to investigate the influence of dopant type on the phase evolution, microstructure, and optical properties. X-ray diffraction analysis confirmed the formation of a multiphase system consisting [...] Read more.
Co- and Ni-doped mullite–spinel ceramics were synthesized via a sol–gel method followed by high-temperature sintering in order to investigate the influence of dopant type on the phase evolution, microstructure, and optical properties. X-ray diffraction analysis confirmed the formation of a multiphase system consisting of mullite and spinel phases, with a residual amorphous fraction, the amount of which decreases with increasing temperature. FTIR and Raman spectroscopy indicate progressive structural ordering of both spinel and aluminosilicate networks during thermal treatment, with differences in crystallization behavior between Co- and Ni-containing system. UV–Vis spectroscopy revealed characteristic absorption bands arising from d–d electronic transitions of Co2+ and Ni2+ ions in the ceramic matrix, reflecting differences in their local coordination environments and optical behavior. Colorimetric analysis showed that Co-doped samples exhibit intense blue coloration, whereas Ni-doped ceramics display greenish-blue hues. The temperature-dependent evolution of the L*, a*, and b* parameters correlate with structural changes. The results suggest that the type of additive influences the phase evolution and optical response in mullite–spinel ceramics, in agreement with structural and spectroscopic analyses. Full article
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13 pages, 953 KB  
Article
Refined THI Models for Evaluating the Effects of Heat Stress on Egg Production in Thai Native and Black-Boned Chickens
by Doungnapa Promket, Khanitta Pengmeesri, Vibuntita Chankitisakul and Wuttigrai Boonkum
Animals 2026, 16(13), 1966; https://doi.org/10.3390/ani16131966 - 25 Jun 2026
Abstract
Heat stress is a major constraint on poultry productivity in tropical environments, where persistent high temperature and humidity intensify its negative effects on production traits. In this study, we quantified the relationship between thermal load and monthly egg production in black-boned and Thai [...] Read more.
Heat stress is a major constraint on poultry productivity in tropical environments, where persistent high temperature and humidity intensify its negative effects on production traits. In this study, we quantified the relationship between thermal load and monthly egg production in black-boned and Thai native chickens and developed a refined temperature–humidity index intended to improve the assessment of heat stress under tropical conditions. A large dataset comprising 136,816 monthly egg production records from 11,530 birds was analyzed using regression models and seven THI equations. The results confirmed that heat stress significantly reduces monthly egg production, while conventional indices showed only moderate explanatory power. In contrast, the refined index consistently improved model performance, providing modest improvements in model fit compared with the original formulation. Notably, genotype-specific responses were identified, with Thai native chickens exhibiting greater tolerance to elevated thermal conditions. Distinct heat stress thresholds were also established, with values of 72 for black-boned and 74 for Thai native chickens. These findings highlight the environmentally sensitive nature of monthly egg production traits and demonstrate that targeted refinement of thermal indices enhances the detection of heat stress effects. This study provides a practical framework for integrating environmental indicators into management and breeding strategies aimed at improving thermal resilience in poultry systems. Full article
(This article belongs to the Special Issue Heat Stress Management in Poultry)
24 pages, 4587 KB  
Article
Divergent Altitudinal Responses and Contrasting Environmental Drivers of Rhizome Chemistry in Two Co-Occurring Polygonatum Species
by Zhansheng Tang, Yalei Li, Simin Bao, Xubo Zhou, Shiwei Lin, Chenchen Cai and Lina Xie
Forests 2026, 17(7), 739; https://doi.org/10.3390/f17070739 (registering DOI) - 25 Jun 2026
Abstract
Forest understorey herbs are an under-studied component of subtropical mountain forest biodiversity, yet they include several genera of high medicinal and economic value. The rhizomes of Polygonatum (Liliaceae) are a prominent example, but the forest-ecological controls on their bioactive composition in wild populations—particularly [...] Read more.
Forest understorey herbs are an under-studied component of subtropical mountain forest biodiversity, yet they include several genera of high medicinal and economic value. The rhizomes of Polygonatum (Liliaceae) are a prominent example, but the forest-ecological controls on their bioactive composition in wild populations—particularly for co-occurring congeners—remain poorly resolved. We sampled 92 wild plants of Polygonatum cyrtonema and P. filipes along four altitudinal transects (330–1730 m) in a subtropical mountain forest reserve in southeastern China, quantifying total polysaccharide, three flavonoid monomers (rutin, quercetin, and methylophiopogonanone B), and two LC–MS class signals (ΣFlavonoid, ΣSaponin), together with 13 topographic, edaphic, and biotic predictors. The two species displayed the following distinct rhizome chemical phenotypes: P. cyrtonema tended toward higher ΣSaponin; P. filipes toward higher ΣFlavonoid. The clearest pattern was a robust species × altitude interaction for total polysaccharide (p = 0.002), with the two species following opposite altitudinal trajectories. In multivariate forward-selected redundancy analysis, canopy closure and species identity emerged as the only retained environmental predictors, identifying forest light environment as the strongest single environmental correlate of rhizome chemical variation. Species-specific bivariate analyses further revealed contrasting driver hierarchies as follows: P. cyrtonema chemistry tracked topography, whereas P. filipes chemistry tracked rhizosphere soil enzymes and chemistry; only soil temperature and urease activity were shared across species. These results argue that altitude is not a uniform predictor of rhizome chemistry in wild Polygonatum, and support species-specific, canopy-aware management of medicinal forest understorey herbs in subtropical mountain forests. Full article
(This article belongs to the Section Forest Ecophysiology and Biology)
20 pages, 1981 KB  
Article
Development and Performance Evaluation of a High-Temperature-Resistant Salt-Responsive Micro-Crosslinked Polymer Gel Filtration Loss Reducer
by Fengfeng Xiao, Yuhao Xia, Wushuo Liu, Jingping Liu and Yuanwei Sun
Gels 2026, 12(7), 564; https://doi.org/10.3390/gels12070564 - 25 Jun 2026
Abstract
To address the difficulty in controlling the filtration performance of water-based drilling fluids under high-temperature and high-salinity conditions during the drilling of deep and ultra-deep wells, a salt-responsive micro-crosslinked polymer gel filtration loss reducer, designated LZX, was developed. The synthesis employed 2-acrylamido-2-methylpropane sulfonic [...] Read more.
To address the difficulty in controlling the filtration performance of water-based drilling fluids under high-temperature and high-salinity conditions during the drilling of deep and ultra-deep wells, a salt-responsive micro-crosslinked polymer gel filtration loss reducer, designated LZX, was developed. The synthesis employed 2-acrylamido-2-methylpropane sulfonic acid (AMPS), N,N-dimethylacrylamide (DMAA), dimethyldiallylammonium chloride (DMDAAC), and a betaine monomer containing an unsaturated double bond as monomers, with polyethylene glycol diacrylate (PEGDA) introduced as a crosslinker. Experimental results showed that the product structure matched the design expectations, and the thermal decomposition temperature of the main molecular chain exceeded 290 °C, indicating good thermal stability. At 220 °C under saturated salt conditions, a dosage of 2.5 wt% LZX maintained the API filtration loss at 5.8 mL and the HPHT filtration loss at 28.6 mL. Comparative experiments at different temperatures demonstrated that LZX exhibited superior filtration control performance compared to the commercial high-temperature filtration reducer Driscal Temp and Driscal D. The micro-crosslinked structure of LZX enhanced the rigidity of the molecular chains, raising the upper limit of its thermal resistance. Rheological and viscosity-average molecular weight measurements revealed that LZX exhibited typical antipolyelectrolyte behavior in high-salinity environments—the molecular chains tended to extend and the filtration reduction capability was accordingly maintained—preliminarily achieving a functional transition from passive salt tolerance to active salt responsiveness. LZX is expected to support the construction of high-performance water-based drilling fluids with high temperature and high salt resistance for future deep-earth drilling. Full article
(This article belongs to the Topic Polymer Gels for Oil Drilling and Enhanced Recovery)
16 pages, 6453 KB  
Article
Impact of Vegetation Fire on the Mechanical and Electrical Performance of FXBW4-35/70 Composite Insulator
by Enze Zhou, Lei Wang, Xincheng Quan, Daochun Huang, Shiyan Lin, Chao Chen, Tianhao Peng and Haiwen Xu
Appl. Sci. 2026, 16(13), 6369; https://doi.org/10.3390/app16136369 (registering DOI) - 25 Jun 2026
Abstract
In wildfire environments, high temperatures generated by wildfires may cause thermal aging, deformation, and even burning damage to the silicone rubber sheds of composite insulators, thereby deteriorating their surface hydrophobicity and insulation characteristics. Meanwhile, ash and carbonaceous particles produced by vegetation combustion tend [...] Read more.
In wildfire environments, high temperatures generated by wildfires may cause thermal aging, deformation, and even burning damage to the silicone rubber sheds of composite insulators, thereby deteriorating their surface hydrophobicity and insulation characteristics. Meanwhile, ash and carbonaceous particles produced by vegetation combustion tend to accumulate on insulator surfaces, forming conductive contamination layers that reduce surface resistance, intensify leakage current activity, and increase the risk of flashover. To investigate these effects, FXBW4-35/70 composite insulators were selected as the research object. A simulated burning test platform was established to evaluate variations in the mechanical properties of insulator sheds under wildfire conditions. In addition, the feasibility of using simulated ash was assessed. AC flashover tests were conducted on contaminated insulators to quantify the influence of ash deposition on flashover performance. Beyond confirming the thermal aging behavior of silicone rubber under wildfire exposure, this study establishes a quantitative relationship between wildfire ash deposition, equivalent contamination severity, and flashover performance. A correction model for post-fire pollution withstand voltage is further proposed, providing a practical basis for condition assessment and maintenance of transmission line insulators after wildfire events. Full article
(This article belongs to the Section Electrical, Electronics and Communications Engineering)
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9 pages, 2585 KB  
Communication
A Comparative Study of Thermal Oxidization Resistance of a High-Entropy Metal Boride and a High-Entropy Metal Carbide
by Seth Iwan and Yogesh K. Vohra
Materials 2026, 19(13), 2720; https://doi.org/10.3390/ma19132720 - 25 Jun 2026
Viewed by 62
Abstract
We present a systematic study of thermal oxidation resistance of transition metal borides and carbides up to 1300 °C in a dry air environment. A High-Entropy Metal Boride (HEMB), of composition (Hf0.2, Mo0.2, Nb0.2, Ta0.2, [...] Read more.
We present a systematic study of thermal oxidation resistance of transition metal borides and carbides up to 1300 °C in a dry air environment. A High-Entropy Metal Boride (HEMB), of composition (Hf0.2, Mo0.2, Nb0.2, Ta0.2, Zr0.2)B2, and a similar High-Entropy Metal Carbide (HEMC) (Hf, Mo, Nb, Ta, Zr)C5 were synthesized from precursor mixtures, under 30 MPa of pressure at a temperature of 1800 °C using a Spark Plasma Sintering Device. The synthesized phases were confirmed via X-ray Diffraction analysis, which showed a pure hexagonal AlB2-type structure for HEMB and a face-centered cubic (FCC) structure for HEMC, with lattice parameters, a = 3.10 Å and c = 3.37 Å for HEMB and a = 4.524 Å for HEMC. Oxidation resistance was evaluated using a simultaneous thermogravimetric analysis and differential scanning calorimetry (TGA/DSC) stage in which HEMB and HEMC were heated up to 1300 °C at a rate of 2 °C/min in a dry air environment. Scanning electron microscopy (SEM) was used to analyze the resulting oxidized material. Our study demonstrates that HEMB shows better thermal oxidation resistance as compared to a similar metal composition HEMC at high temperatures. Full article
(This article belongs to the Section Metals and Alloys)
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28 pages, 4106 KB  
Article
Multi-Dimensional Analysis of a Compressed Air Energy Storage-Based Cogeneration System Integrated with Geothermal Energy Utilizing Abandoned Oil and Gas Wells
by Xingyi Wu and Xiaohui Su
Energies 2026, 19(13), 2980; https://doi.org/10.3390/en19132980 - 24 Jun 2026
Viewed by 81
Abstract
To tackle the intermittency of renewable energy and realize the repurposing of abandoned oil and gas wells, this study proposes a compressed air energy storage (CAES)-based cogeneration system integrated with geothermal energy and abandoned oil and gas wells, and conducts a five-dimensional comprehensive [...] Read more.
To tackle the intermittency of renewable energy and realize the repurposing of abandoned oil and gas wells, this study proposes a compressed air energy storage (CAES)-based cogeneration system integrated with geothermal energy and abandoned oil and gas wells, and conducts a five-dimensional comprehensive analysis covering exergy, exergoeconomic, exergoenvironmental, economic and environmental performance. The optimal operating parameters are determined as air compressed to 200 bar, an ORC turbine inlet pressure of 16 bar and an inlet temperature of 110 °C. The system’s annual total power generation is 2,971,416.5 kWh during low-power daytime operation, and 20,131,785 kWh during high-power nighttime operation. Compared with conventional CAES systems, the proposed system reduces total exergy destruction by 4121.35 kW and increases exergy efficiency from 48.49% to 63.38%. Coolers, geothermal heat exchangers and compressors are the main sources of exergy destruction cost and capital investment, while COM1, HE1 and HOT1 are the key components causing environmental impacts. The system realizes cogeneration of power, hydrogen and pure water, with a static payback period of about 5.4 years and significantly reduced TEWI value at elevated turbine inlet pressure. This system achieves multi-objective synergies in energy efficiency, economy and environment, providing a feasible scheme for the green repurposing of abandoned oil and gas wells and cascaded utilization of renewable energy. Full article
(This article belongs to the Special Issue Heat Transfer and Fluid Flows for Industry Applications—2nd Edition)
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21 pages, 11344 KB  
Article
Simultaneous Determination of CH4, C2H6 and C2H4 Mixtures Using MCPSO-Optimized DKELM
by Pengcheng Gu, Meixuan Zhao, Xinyu Tian and Yuwang Han
Spectrosc. J. 2026, 4(3), 12; https://doi.org/10.3390/spectroscj4030012 - 24 Jun 2026
Viewed by 55
Abstract
Photoacoustic spectroscopy (PAS) is a highly sensitive and non-destructive technique widely used for trace gas detection; however, the simultaneous quantification of methane (CH4), ethane (C2H6), and ethylene (C2H4) remains challenging due to severe [...] Read more.
Photoacoustic spectroscopy (PAS) is a highly sensitive and non-destructive technique widely used for trace gas detection; however, the simultaneous quantification of methane (CH4), ethane (C2H6), and ethylene (C2H4) remains challenging due to severe spectral cross-interference and non-linear responses across broad concentration ranges. In this work, we propose a high-precision, end-to-end detection framework based on a Deep Kernel Extreme Learning Machine (DKELM) optimized using a Mutation–Chaotic Particle Swarm Optimization (MCPSO) algorithm. To enhance diagnostic information in the photoacoustic signals, a multi-scale wavelet transform based on a db4 wavelet basis with 5-layer decomposition and a Heursure soft threshold strategy is first employed for denoising and enhancing absorption features. To address the hyperparameter sensitivity and local-optimum trapping inherent in deep models, the MCPSO algorithm integrates hybrid chaotic initialization, adaptive mutation probability control, Cauchy-based perturbation, temperature-controlled mutation amplitude, and elite-guided population updating. The proposed MCPSO-DKELM model is evaluated on an expanded dataset of 470 mixed-gas spectra and benchmarked against other frameworks, including the previously reported SVM-CPSO-KELM architecture. The experimental results demonstrate that MCPSO-DKELM achieves stable, segmentation-free quantification across the full dynamic range, with an average detection error below 3.5% and the maximum relative error constrained to under 15%, which represents a substantial improvement over existing approaches. Thus, the combination of deep kernel feature extraction and mutation–chaotic global optimization provides a robust and reliable solution for simultaneous multi-component hydrocarbon gas analysis in complex industrial environments. Full article
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31 pages, 22916 KB  
Article
Data-Driven Multivariate Characterization of Hydrogen-Induced Response Evolution in EPDM, NBR, and FKM Elastomers
by Nitesh Subedi, Alfredo Becerril Corral, Md Monjur Hossain Bhuiyan, Omkar Gautam, Md Ariful Islam and Zahed Siddique
Polymers 2026, 18(13), 1570; https://doi.org/10.3390/polym18131570 - 24 Jun 2026
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Abstract
Hydrogen-compatible elastomeric seals are critical for the reliability and safety of high-pressure hydrogen infrastructure. However, hydrogen exposure can alter the mechanical response and surface condition of elastomeric materials through coupled transport–mechanical interactions. This study presents a comparative experimental and data-driven investigation of the [...] Read more.
Hydrogen-compatible elastomeric seals are critical for the reliability and safety of high-pressure hydrogen infrastructure. However, hydrogen exposure can alter the mechanical response and surface condition of elastomeric materials through coupled transport–mechanical interactions. This study presents a comparative experimental and data-driven investigation of the pressure-dependent degradation behavior of ethylene propylene diene monomer (EPDM), nitrile butadiene rubber (NBR), and fluorocarbon elastomer (FKM) O-ring seals following 192 h exposure to hydrogen pressures ranging from 800 to 7000 psi at room temperature. Tensile testing was performed directly on complete O-ring geometries, and descriptor-based analysis was used to quantify peak-response behavior, energy absorption, stiffness evolution, and normalized deformation characteristics. Multivariate statistical methods, principal component analysis (PCA), clustering analysis, and Random Forest regression were applied to identify material-specific degradation patterns. NBR maintained the highest overall load-bearing capability and stiffness-related response across the investigated pressure range, whereas EPDM exhibited more compliant and non-monotonic deformation behavior. FKM showed the strongest pressure sensitivity, with substantial increases in force- and stiffness-related descriptors at elevated hydrogen pressures. Optical image analysis revealed pronounced increases in defect density and defect area fraction for NBR, while FKM exhibited comparatively stable surface-state behavior. PCA and clustering analyses identified distinct material-dependent degradation trajectories, and Random Forest regression achieved an R2 value of 0.888 for energy-absorption prediction. The results demonstrate that hydrogen-induced degradation emerges through coupled interactions among stiffness evolution, deformation progression, energy absorption, and surface-state changes, providing a comparative framework for assessing elastomer performance in hydrogen environments. Full article
(This article belongs to the Section Polymer Applications)
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