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Mesostructural analysis of damage and healing of fine-aggregate mixtures containing recycled asphalt

ROAD MATERIALS AND PAVEMENT DESIGN 2025年 26卷 791-812页

作者： Miljkovic, Miomir Roja, K. Lakshmi Seers, Thomas Khan, Talha Masad, Eyad Univ Nis Fac Civil Engn & Architecture Nish Serbia Texas A&M Univ Qatar Mech Engn Program Doha Qatar Texas A&M Univ Qatar Petr Engn Program Doha Qatar Hamad Bin Khalifa Univ Coll Sci & Engn Doha Qatar

This study evaluates the damage and healing characteristics of fine aggregate mixtures (FAM). Some FAM samples comprised only of virgin aggregate and asphalt binder, while others included reclaimed asphalt (RAP) and a recycling agent (REC). Sample damage was characterized using continuous shear cyclic loading, while the healing response was studied by including rest periods. To corroborate these mechanical analysis results, X-ray microtomographic (mu CT) images were captured for FAM samples before and after applying cyclic loading and rest periods. Critically, mechanical analysis demonstrated that adding RAP increased the rate of FAM damage, while using REC or higher binder content improved its healing capability. mu CT analysis revealed that FAM composition influenced pore geometry;samples with high binder content (B2, ***) formed spherical pores, while those with low binder content and RAP (***) developed elongated interconnected pores. These elongated pores coalesced into microcracks under load, reducing healing potential and increasing damage susceptibility.

关键词： Linear viscoelastic (LVE) rheological response X-ray microtomography (mu CT) damage and healing dissipated pseudo-strain energy pore connectivity fine-aggregate asphalt matrix

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Evaluation of AlCoCrFeNiTi-high entropy alloy (HEA) as top coat material in thermal barrier coating (TBC) system and investigation of its high temperature oxidation behavior

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SURFACE & COATINGS TECHNOLOGY 2025年 495卷

作者： Odabas, Okan Karaoglanli, Abdullah Cahit Ozgurluk, Yasin Binal, Gulfem Ozkan, Dervis Bartin Univ Fac Engn Architecture & Design Mech Engn Dept TR-74110 Bartin Turkiye Bartin Univ Fac Engn Architecture & Design Met & Mat Engn Dept TR-74110 Bartin Turkiye Bartin Univ Vocat Sch Hlth Serv Program Med Serv & Tech TR-74110 Bartin Turkiye

To obtain compatible properties of high-temperature performance and mechanical strength properties, AlCoCrFeNiTi high-entropy alloy (HEA) was designed as a new candidate material for metal-based thermal barrier coating (TBC) systems. The aim of this study is to investigate potential applications of AlCoCrFeNiTi-HEA as a coating material for TBC systems and to determine its behavior under high temperature conditions. CoNiCrAlY bond coatings were produced on the Inconel-718 substrate surface using high-velocity oxygen fuel (HVOF) technique. AlCoCrFeNiTi-HEAs were produced on CoNiCrAlY bond coatings using atmospheric plasma spray (APS) technique and a typical TBC system structure was obtained. The produced AlCoCrFeNiTi-HEA TBC system was exposed to oxidation at temperatures of 1000 degrees C and 1100 degrees C for time periods of 5 h, 25 h, 50 hand 100 h in order to determine the oxidation resistance under isothermal conditions and to investigate formation and growth behavior of oxide structures formed at the coating interface. As a result of oxidation tests, the growth behavior of the thermally grown oxide (TGO) layer formed between the coating interfaces and the microstructural changes occurring in the coating system were investigated depending on temperature and time processes. In the TBC system with Ti- containing HEA content, a transformation from body-centered cubic (BCC) structure to rhombohedral crystal lattice structure occurred as a result of increasing temperature. Many spinel compound forms were formed at the coating interface. It was observed that the coating system with AlCoCrFeNiTi-HEA content maintained its structural integrity without any damage such as microstructural and mechanical spalling and cracking under conditions of high temperature and different time periods.

关键词： High-entropy alloys (HEAs) AlCoCrFeNiTi CoNiCrAlY Thermal barrier coatings (TBCs) Oxidation Thermally grown oxide (TGO)

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Hot corrosion behavior of AlCoCrFeNiZr high entropy alloy (HEA) coating system exposed to Na2SO4-V2O5 salt

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MATERIALS TODAY COMMUNICATIONS 2025年 45卷

作者： Odabas, Okan Ozgurluk, Yasin Karaoglanli, Abdullah Cahit Bartin Univ Fac Engn Architecture & Design Mech Engn Dept TR-74110 Bartin Turkiye Bartin Univ Vocat Sch Hlth Serv Program Med Serv & Tech TR-74110 Bartin Turkiye Bartin Univ Fac Engn Architecture & Design Met & Mat Engn Dept TR-74110 Bartin Turkiye

This study investigated the hot corrosion behavior of AlCoCrFeNiZr high entropy alloy (HEA) top coatings with CoNiCrAlY bond coatings. CoNiCrAlY bond coatings were deposited on a Inconel 718 nickel-based superalloy substrate using an high-velocity oxy-fuel (HVOF) technique. HEA coatings were deposited on a CoNiCrAlY bond coats using an atmospheric plasma spraying (APS) process. The coatings were subjected to hot corrosion tests at 700 degrees C and 800 degrees C in a molten salt environment containing 45 % Na2SO4 and 55 % V2O5. The microstructural aspects and phase analyses were evaluated by energy dispersive spectroscopy (EDS) equipped scanning electron microscopy (SEM) and x-ray diffraction (XRD) methods. The results obtained from the hot corrosion tests and subsequent analyses showed that the AlCoCrFeNiZr HEA coating system maintained its structural integrity against hot corrosion damage despite approximately 30-35 % damage.

关键词： High-entropy alloy (HEA) AlCoCrFeNiZr CoNiCrAlY Hot corrosion Na2SO4

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Tuning Hypothesis Creation: Combining Discrete and Continuous Spaces for Zero-Shot Hate Speech Detection 34th

Tuning Hypothesis Creation: Combining Discrete and Continuou...

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34th Brazilian Conference on Intelligent Systems

作者： Vecchi, Lorenzo Puppi Barbon, Sylvio Junior Paraiso, Emerson Cabrera Pontificia Univ Catolica Parana Grad Program Informat Curitiba Parana Brazil Univ Trieste Dept Engn & Architecture Trieste Italy

ISBN: (纸本)9783031790379;9783031790386

Hate speech detection is a crucial endeavor in maintaining the safety of online spaces, but the effectiveness of supervised approaches hinges mainly on the availability of annotated data. Prior research has explored the utility of natural language inference (NLI) models for zero-shot hate speech detection (ZSHSD), which leverages the capacity of these models to learn semantic relationships and adapt to downstream task without relying on large annotated datasets. NLI models assess if a premise sentence logically entails a hypothesis sentence, relying on precise hypothesis design to achieve adequate downstream task performance. Existing frameworks that use NLI model for ZSHSD rely on multiple inferences with different hypothesis to extract characteristics to achieve desirable outcomes. In light of the challenges surrounding ZSHSD and the method of relying on discrete tokens to design hypotheses, we aim to optimize and identify ideal intermediate representations by applying p-tuning techniques. On HateCheck, a fully tuned hypothesis led to a 18.8% point (pp) accuracy improvement, compared to a discrete designed hypothesis. Our work surpassed prior work by achieving a 5.6 pp accuracy enhancement, outperforming previous approaches that required multiple inferences. Also, the optimized tokens uncover relations to broader aspects of hate speech, offering insights for hypothesis design.

关键词： Hate Speech Natural Language Inference Zero-Shot Text Classification P-tuning

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Advances in Scaffolds and Additives for Infection Control in Autologous Chondrocyte Transplantation

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TISSUE ENGINEERING PART B-REVIEWS 2025年 2025 Jan 31页

作者： Nassereddine, Nazmia Roda, Rena Mhanna, Rami Damiati, Laila A. Amer Univ Beirut Maroun Semaan Fac Engn & Architecture Biomed Engn Program Beirut Lebanon Univ Jeddah Coll Sci Dept Biol Sci POB 34 Jeddah 21959 Saudi Arabia

Cartilage tissue engineering (CTE) has revolutionized the field of regenerative medicine, offering significant advancements in surgeries such as autologous chondrocyte transplantation. However, despite these advancements, infections associated with cartilage implants remain a persistent challenge, compromising the success of surgeries and patient recovery. To address these challenges, this review provides a comprehensive foundation for researchers interested in addressing infections in CTE. It begins by briefly outlining the major scaffolds currently used in CTE and distinguishing those with antimicrobial properties. Among the antimicrobial scaffolds identified, chitosan and chondroitin sulfate stand out for their promising compatibility and antibacterial properties. The review then explores additives that meet three essential criteria: compatibility with chondrocytes, suitability for use in CTE scaffolds, and antibacterial efficacy. Chitosan, zinc oxide, silver, and copper emerge as leading candidates due to their compatibility with chondrocytes and proven antibacterial capabilities. Importantly, the criteria used in this review were chosen to provide researchers with a practical and reliable starting point for immediate application. However, it is acknowledged that other promising antibacterial modifications such as fabrication processes and additives such as bioactive glass and graphene oxide, which may not fit these criteria, also hold potential for future research and innovation. This review underscores the need for further research and development to enhance infection control measures and improve patient outcomes. Impact Statement This review establishes a crucial foundation for in-depth research on infections in cartilage tissue engineering. Suggesting scaffolds with antimicrobial properties offers valuable insights and a significant starting point for researchers in this field.

关键词： autologous chondrocyte transplantation cartilage tissue engineering implant infection antimicrobial scaffolds regenerative medicine

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Generation of representative meteorological years through anomaly-based detection of extreme events

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JOURNAL OF BUILDING PERFORMANCE SIMULATION 2025年

作者： Tarkhan, Nada Crawley, Drury B. Lawrie, Linda K. Reinhart, Christoph MIT Dept Architecture Bldg Technol Program Cambridge MA 02139 USA Bentley Syst Inc Washington DC USA DHL Consulting LLC Pagosa Springs CO USA

Typical Meteorological Years (TMYs) have long supported the building sector by integrating local climate into building design for energy, thermal comfort, and peak load assessments. As climates shift, past heat waves and cold spells signal future conditions requiring greater adaptability. This study proposes a new file generation method that preserves TMY properties while embedding extreme events. We combine three anomaly-detection methods-temperature thresholds, Graph Neural Networks (GNNs), and Extreme Value Theory (EVT)-to capture climatic deviations, detect anomalies, and model statistical extremes. An integrated hierarchical method forms the new Representative Meteorological Year (RMY) file. RMY files for six ASHRAE climate-zones consistently capture past extremes, producing worst-case scenarios for key metrics, including peak loads, indoor thermal stress, natural ventilation and outdoor comfort. The largest deviation between the TMY and RMY was a doubling of indoor thermal stress hours across all climates, while average energy use remained aligned, with a deviation of 6%.

关键词： Representative Meteorological Year (RMY) anomaly detection building performance extreme climate events risk assessments Extreme Value Theory (EVT)

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A conceptual framework for designing human-centered building-occupant interactions to enhance user experience in specific-purpose buildings

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DESIGN SCIENCE 2025年 11卷 e5-e5页

作者： Roofigari-Esfahan, N. Morshedzadeh, E. Virginia Tech Myers Lawson Sch Construct Blacksburg VA 24061 USA Univ Houston Gerald Hines Coll Architecture & Design Ind Design Program Houston TX USA

This research proposes a novel conceptual framework that combines the concepts of Human-Computer Interaction (HCI) and Ambient Intelligence (AmI). The proposed framework aims to shed light on the importance of considering the needs and the social interactions of various building occupants in different types of buildings and designing HBI strategies accordingly. Specifically, we take educational buildings as a case that is less explored in the HBI research and apply the proposed framework, investigating how HBI strategies and interactions should be designed to address the needs of students, as primary occupants. Focus groups and semi-structured interviews were conducted among students in a flagship smart engineering building at Virginia Tech. Qualitative coding and concept mapping were used to analyze the qualitative data and determine the impact of occupant-specific needs on the learning experience of students. "Finding study space" was found to have the highest direct impact on the learning experience of students, and "Indoor Environment Quality (IEQ)" was found to have the highest indirect impact. The results show a clear need to integrate occupant needs in designing HBI strategies in different types of buildings. Finally, we discuss new ideas for designing potential Intelligent User Interfaces (IUI) to address the identified needs.

关键词： Ambient intelligence Human Building Interaction Occupant engagement User experience

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Comparative analysis of land cover changes on outdoor thermal comfort in Doha, Dubai, Kuwait City, Manama, Muscat, and Riyadh

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ANNALS OF GIS 2025年第1期31卷 163-180页

作者： Patel, Shikha Indraganti, Madhavi Jawarneh, Rana N. Qatar Univ Dept Architecture & Urban Planning Doha Qatar Qatar Univ Dept Humanities Appl Geog & GIS Program Doha Qatar

Rapid urbanization in Gulf cities has driven significant land cover changes, influencing outdoor thermal comfort and land surface temperatures (LST). This study investigates land cover dynamics from 1998 to 2023 across six cities - Doha, Dubai, Kuwait City, Manama, Muscat, and Riyadh - using Landsat imagery to assess LST, Normalized Difference Vegetation Index (NDVI) and approximated wet-bulb globe temperature (AWGBT). Results reveal an increase in urban areas, with Manama and Kuwait City experiencing the largest expansions (47.50% and 47.02%). Vegetation patterns varied, with cities like Dubai and Riyadh showing consistent increases, while Doha stagnated from 2013 to 2023. LST ranged from 42 degrees C to 55 degrees C, with desert areas showing the highest temperatures. Built-up areas had LST comparable to desert land, highlighting a reverse urban heat island effect. Dubai's LST decreased between 2013 and 2023 due to successful green initiatives, contrasting with rising temperatures in other cities. The mean LST difference between the desert and urban areas was 2.5 degrees C, and vegetation displayed a cooling effect, with a 3.5 degrees C difference between vegetated and desert areas. Thermal comfort maps aligned with LST data, showing increasing heat stress, particularly in Doha and Kuwait City, while Dubai maintained stable comfort levels. This study underscores the critical role of vegetation and sustainable urban planning in mitigating heat stress and enhancing outdoor thermal comfort across Gulf cities.

关键词： Urban planning, GIS, remote sensing, arid Gulf cities land surface temperature outdoor thermal comfort land cover

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Integrating Generative AI in Business Intelligence: A Practical Framework for Enhancing Augmented Analytics

INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGE...

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INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES 2025年第3期10卷 704-728页

作者： Desai, Darshan Desai, Ashish Columbia Univ Sch Profess Studies Appl Analyt Program New York NY 10027 USA Bristol Myers Squibb Enterprise Data Architecture & Enablement Strategy Princeton NJ USA

Business Intelligence (BI) workflows benefit from the improved access to insights that Generative Artificial Intelligence (GenAI) can bring, allowing for swifter democratization of data access and improved decision-making across various domains such as finance, retail, life sciences, education technology (EdTech), etc. Although existing literature discusses theoretical models or particular case studies, it does not provide a practical framework to integrate GenAI into BI. This study fills the gap by devising a pragmatic framework employing the qualitative research method featuring semi-structured interviews with professionals in varied disciplines. The results show that GenAI can improve the effectiveness of the interaction between technical experts and business users. Successful adoption, however, hinges on clarity of the organizational goals, effectiveness of the data management, user training, and system integration. Organizations can apply the proposed framework to integrate GenAI into BI systems to focus on operational excellence and support for real-time, data-driven decisions. These insights serve to advance BI practices, and act as a precursor to the future research in the domain of AI-integrated BI workflows.

关键词： Generative AI Augmented analytics Business intelligence Data democratization Business value

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Spatiotemporal Variations of Urban Expansion and its Relation with Geomorphological Complexity: a Case Study of the Yogyakarta Urban Region, Indonesia

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APPLIED SPATIAL ANALYSIS AND POLICY 2025年第1期18卷 1-22页

作者： Dewa, Dimas Danar Buchori, Imam Rudiarto, Iwan Sejati, Anang Wahyu Univ Diponegoro Doctoral Program Architecture & Urbanism Semarang Indonesia Univ Diponegoro Fac Engn Dept Urban & Reg Planning Semarang Indonesia

Urban growth in Indonesia is accelerating, particularly in areas with complex geomorphological features. This study examines the spatiotemporal variations of built-up area expansion in the Yogyakarta Urban Region (YUR), a rapidly urbanizing area characterized by diverse landforms and significant development pressures. Using Landsat satellite imagery (2001-2022), the study employed the Landscape Expansion Index (LEI) to classify urban expansion types and the Topographic Position Index (TPI) to analyze geomorphological characteristics. The findings reveal that edge-expansion dominated upper slopes, contributing 69%, 75%, and 79% of built-up area growth in 2001-2008, 2008-2015, and 2015-2022, respectively. Simultaneously, the outlying expansion type has steadily increased, particularly in U-shaped valleys, which grew significantly from 51.35 ha (2001-2008) to 109.28 ha (2008-2015) and 219.14 ha (2015-2022), highlighting an escalating risk of urban sprawl. These findings highlight the need for targeted urban planning policies to monitor and control growth patterns in geomorphologically sensitive areas, reducing sprawl and promoting sustainable development.

关键词： Urban Expansion Landscape Expansion Index Topographic Position Index Geomorphological Complexity Metropolitan Region

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