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Xenotime-type high-entropy(Dy_(1/7)Ho_(1/7)Er_(1/7)Tm_(1/7)Yb_(1/7)Lu_(1/7)Y_(1/7))PO_(4):A promising thermal/environmental barrier coating material for SiCf/SiC ceramic matrix composites

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Journal of advanced Ceramics 2023年第5期12卷 1033-1045页

作者： Peixiong Zhang Xingjun Duan Xiaochang Xie Donghai Ding Tao Yang Xinmei Hou Yunsong Zhao Enhui Wang Innovation Research Institute for Carbon Neutrality University of Science and Technology BeijingBeijing 100083China College of Materials Science and Engineering Xi’an University of Architecture and TechnologyXi’an 710055China Science and Technology on Advanced High Temperature Structural Materials Laboratory Beijing Institute of Aeronautical MaterialsBeijing 100095China

Rare-earth phosphates(REPO4)are regarded as one of the promising thermal/environmental barrier coating(T/EBC)materials for SiCf/SiC ceramic matrix composites(SiC-CMCs)owing to their excellent resistance to water vapor and CaO–MgO–Al_(2)O_(3)–SiO_(2)(CMAS).Nevertheless,a relatively high thermal conductivity(κ)of the REPO_(4) becomes the bottleneck for their practical *** this work,novel xenotime-type high-entropy(Dy_(1/7)Ho_(1/7)Er_(1/7)Tm_(1/7)Yb_(1/7)Lu_(1/7)Y_(1/7))PO4(HE(7RE_(1/7))PO_(4))has been designed and synthesized for the first time to solve this ***(7RE_(1/7))PO_(4) with a homogeneous rare-earth element distribution exhibits high thermal stability up to 1750℃and good chemical compatibility with SiO_(2) up to 1400℃.In addition,the thermal expansion coefficient(TEC)of HE(7RE_(1/7))PO_(4)(5.96×10^(−6)℃^(−1) from room temperature(RT)to 900℃)is close to that of the *** is more,the thermal conductivities of HE(7RE_(1/7))PO_(4)(from 4.38 W·m^(−1)·K^(−1) at 100℃to 2.25 W·m^(−1)·K^(−1) at 1300℃)are significantly decreased compared to those of single-component REPO4 with the minimum value ranging from 9.90 to 4.76 W·m^(−1)·K^(−1).These results suggest that HE(7RE_(1/7))PO_(4) has the potential to be applied as the T/EBC materials for the SiC-CMCs in the future.

关键词： high-entropy ceramics(HECs) (Dy_(1/7)Ho_(1/7)Er_(1/7)Tm_(1/7)Yb_(1/7))PO_(4)((7RE_(1/7))PO_(4)) thermal/environmental barrier coatings(T/EBCs) thermal expansion coefficient(TEC) thermal conductivity(κ)

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Self-Adaptive Incremental Machine Speech Chain for Lombard TTS with High-Granularity ASR Feedback in Dynamic Noise Condition 48

Self-Adaptive Incremental Machine Speech Chain for Lombard T...

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Novitasari, Sashi Sakti, Sakriani Nakamura, Satoshi Japan Advanced Institute of Science and Technology Japan Nara Institute of Science and Technology Japan

ISBN: (纸本)9781728163277

A common approach for text-to-speech (TTS) in noisy conditions is offline fine-tuning, which is generally utilized on static noises and predefined conditions. We recently proposed a self-adaptive TTS in machine speech chain inference that enables TTS to control its voices in statically and dynamically noisy environments based on auditory feedback from automatic speech recognition (ASR) and speech-to-noise ratio (SNR) recognition. However, that study only investigated the system on synthetic Lombard speech data. Furthermore, the ASR feedback was at a lower granularity based only on the loss of the positive character class. In this paper, we improve the self-adaptive TTS using character-vocabulary level ASR feedback at higher granularity, considering the losses in the positive and negative classes. We focus on a self-adaptive incremental TTS (Adapt-ITTS) with a short-term feedback mechanism that aims for low latency adaptation for dynamically noisy situations. In experiments, our proposed Adapt- ITTS successfully improved intelligibility in noisy conditions based on synthetic and natural Lombard speech data on the Wall Street Journal and Hurricane datasets, respectively. © 2023 IEEE.

关键词： incremental Lombard effect machine speech chain self-adaptive text-to-speech

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High temperature oxidation behavior at 1250 ℃:A new multilayer modified silicide coating design strategy on niobium alloys

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材料科学技术（英文版） 2025年第7期210卷 159-169页

作者： Shuqi Wang Zhiyun Ye Yulin Ge Yongchun Zou Tianlong Zhang Xinrui Zhao Mengjie Wang Ci Song Yaming Wang Yu Zhou Institute for Advanced Ceramics Harbin Institute of TechnologyHarbin 150001PR China Key Laboratory of Advanced Structure-Function Integrated Materials and Green Manufacturing Technology Harbin Institute of TechnologyHarbin 150001PR China Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongPR China Institute of Materials Mechanics Helmholtz-Zentrum HereonMax-Planck-Strasse 1 21502 GeesthachtGermany Faculty of Engineering Kiel UniversityKiel 24143Germany

Silicide coatings have proven to be promising for improving the high-temperature oxidation resistance of niobium ***,the long-term protective property of single silicide coating remains a long-time endeavor due to the deficiency of oxygen-consuming phases,as well as the self-healing ability of the protective ***,a silicide-based composite coating is constructed on niobium alloy by incor-poration of nano-SiC particles for enhancing the high-temperature oxidation *** oxi-dation results at 1250 ℃ for 50 h indicate that NbSi2/Nb2O5-SiO2/SiC multilayer coated sample with a low mass gain of 2.49 mg/cm2 shows an improved oxidation resistance compared with NbSi2 coating(6.49 mg/cm2).The enhanced high-temperature antioxidant performance of NbSi2/Nb2O5-SiO2/SiC multi-layer coating is mainly attributed to the formation of the protective SiO2 self-healing film and the high-temperature diffusion behavior of NbSi2/substrate.

关键词： Niobium alloys Silicide-based coating High-temperature oxidation resistance nano-SiC Liquid-plasma-assisted particle deposition and sintering

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Microstructures,corrosion behavior and mechanical properties of as-cast Mg-6Zn-2X(Fe/Cu/Ni)alloys for plugging tool applications

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International Journal of Minerals,Metallurgy and Materials 2024年第4期31卷 697-711页

作者： Baosheng Liu Jiali Wei Shaohua Zhang Yuezhong Zhang Pengpeng Wu Daqing Fang Guorui Ma School of Materials Science and Engineering Taiyuan University of Science and TechnologyTaiyuan 030024China State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong UniversityXi’an 710049China Intelligent Equipment Research and Development Center Zhuhai Institute of Advanced Technology Chinese Academy of SciencesZhuhai 519080China Advanced Materials Research Institute Zhuhai Dingmei Medical Technology Co.Ltd.Zhuhai 519000China

Mg-6Zn-2X(Fe/Cu/Ni)alloys were prepared through semi-continuous casting,with the aim of identifying a degradable magnesium(Mg)alloy suitable for use in fracturing balls.A comparative analysis was conducted to assess the impacts of adding Cu and Ni,which result in finer grains and the formation of galvanic corrosion *** electronic microscopy examination revealed that precipitated phases concentrated at grain boundaries,forming a semi-continuous network structure that facilitated corrosion penetration in Mg-6Zn-2Cu and Mg-6Zn-2Ni *** corrosion was observed in Mg-6Zn-2Fe,while galvanic corrosion was identified as the primary mechanism in Mg-6Zn-2Cu and Mg-6Zn-2Ni *** the tests,the Mg-6Zn-2Ni alloy exhibited the highest corrosion rate(approximately 932.9 mm/a)due to its significant potential *** testing showed that Mg-6Zn-2Ni alloy possessed suitable ultimate compressive strength,making it a potential candidate material for degradable fracturing balls,effectively addressing the challenges of balancing strength and degradation rate in fracturing applications.

关键词： magnesium alloys microstructure micro-galvanic corrosion mechanical properties

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Deep learning-based classification,detection,and segmentation of tomato leaf diseases:A state-of-the-art review

Artificial Intelligence in Agriculture

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Artificial Intelligence in Agriculture 2025年第2期15卷 192-220页

作者： Aritra Das Fahad Pathan Jamin Rahman Jim Md Mohsin Kabir M.F.Mridha Department of Computer Science and Engineering American International University-BangladeshDhaka 1229Bangladesh Institute of Information and Communication Technology Shahjalal University of Science and TechnologySylhet 3114Bangladesh Advanced Machine Intelligence Research Lab Dhaka 1207Bangladesh Bangladesh University of Business and Technology DhakaBangladesh

The early identification and treatment of tomato leaf diseases are crucial for optimizing plant productivity,efficiency and *** by the farmers poses the risk of inadequate treatments,harming both tomato plants and *** of disease diagnosis is essential,necessitating a swift and accurate response to misdiagnosis for early *** regions are ideal for tomato plants,but there are inherent concerns,such as weather-related *** diseases largely cause financial losses in crop *** slow detection periods of conventional approaches are insufficient for the timely detection of tomato *** learning has emerged as a promising avenue for early disease *** study comprehensively analyzed techniques for classifying and detecting tomato leaf diseases and evaluating their strengths and *** study delves into various diagnostic procedures,including image pre-processing,localization and *** conclusion,applying deep learning algorithms holds great promise for enhancing the accuracy and efficiency of tomato leaf disease diagnosis by offering faster and more effective results.

关键词： Deep learning Tomato leaf disease Classification Detection Segmentation Imaging

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Enhancing adhesive performance of polyvinyl alcohol with sub nanoscale polyoxotungstate clusters under extreme conditions

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Nano Research 2025年第2期18卷 432-441页

作者： Pengcheng Cui Qiang Yu Jiadong Chen Kun Chen Panchao Yin South China Advanced Institute for Soft Matter Science and Technology School of Emergent Soft MatterSouth China University of TechnologyGuangzhou 510640China Guangdong Provincial Key Laboratory of Functional and Intelligent Hybrid Materials and Devices South China University of TechnologyGuangzhou 510641China Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing South China University of TechnologyGuangzhou 510641China

Innovative advancements in the development of high-performance,eco-friendly adhesives are critical for meeting the demands of diverse applications in various *** study reports a significant leap in adhesive technology by enhancing the interfacial toughness and versatility of polyvinyl alcohol(PVA)through complexation with 1-nm Keggin-type polyoxotungstate clusters(POTs)carrying specific negative *** POT-PVA nanocomposites exhibit superior adhesion to hydrophilic surfaces,attributed to their high crosslinking densities and exceptional fracture energies surpassing 6.23 kJ·m^(-2).These adhesives,endowed with high flexibility and a wealth of surface hydroxyl groups,are uniquely suited for application on a wide array of substrates including glass,steel,aluminum,and beyond,demonstrating their broad ***,the reduction in PVA crystallinity due to the chaotropic effect of POTs,which significantly enhances polymer chain *** enhancement confers robust adhesive properties at extreme temperatures,from the cryogenic−196℃ to the high-temperature threshold of 100℃.By capitalizing on the chaotropic effects of charged POTs,the study achieves a notable enhancement in the adhesive capabilities of the POT-PVA nanocomposites,paving the way for the development of for eco-friendly and cost effective adhesives engineered to withstand extreme conditions.

关键词： water-based adhesives polyoxotungstates nanocomposites interfacial toughness chaotropic effect

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Adjustable indentation and vibration isolation performances of nacre-like metamaterial

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International Journal of Smart and Nano Materials 2023年第3期14卷 303-320页

作者： Shushan Zhang Peng Jiang Jixiang Qi Ganchao Chen Yonghuan Wang Ran Tao Zhaoyue Chen Ying Li State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijingPR 100081China Beijing Key Laboratory of Lightweight Multi-Functional Composite Materials and Structures Institute of Advanced Structure TechnologyBeijing Institute of TechnologyBeijingPRChina

Along with the living environment,organisms have evolved structures that adapt to specific environments and have better mechanical *** materials learn from nature and improve their mechanical properties by imitating the structure of living *** on the 4D printed shape memory polymer and the bioinspired design method,this research proposes a soft and hard phase hybrid bioinspired metamaterial with shape memory effect and programmable mechanical *** with traditional nacre-like materials,bioinspired materials have adjustable characteristics of mechanical properties,impact resistance,and low-frequency vibration ***,based on the constitutive relation of SMP(Shape memory polymer)material and its numerical simu-lation,an intelligent bioinspired metamaterial is ***,the mechanical properties and vibration isola-tion behavior and adjustability performance of multi-scale bioinspired metamaterials are explained by ***,the adjustable functional mechanism of the deforma-tion and vibration isolation of the bioinspired metamaterial is *** research of these bioinspired metamaterials has broad application prospects in the fields of impact protection and low-frequency vibration absorption.

关键词： Nacre-like metamaterial 4D printed Indentation properties vibration isolation Shape memory effect

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Analysing the Quality and Management of Data in Big Data 3

Analysing the Quality and Management of Data in Big Data

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3rd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Pratheesh, R. Divya, V. School Of Computing Sciences Vels Institute Of Science Technology & Advanced Studies India School Of Computing Sciences Vels Institute Of Science Technology & Advanced Studies Department Of Information Technology Chennai India

ISBN: (纸本)9798350318609

Big data analytics delves into these immense datasets to reveal hidden patterns and correlations, yet its pervasive use raises substantial security and privacy concerns. This article centers on the specific issues concerning privacy and security within the realm of big data, distinguishing between these concerns and outlining their distinct requirements. The focus is on various privacy strategies, including L-diversity, k-anonymity, HyBrEx, and T-closeness, examining their practical applications in diverse business contexts. Privacy protection methods have surfaced throughout various stages of the big data life cycle, aiming to ensure privacy during data creation, retention, and handling. This paper provides an extensive review of these privacy mechanisms while addressing the challenges encountered by current approaches. As the extended comprehensive study is experimented with features extraction techniques such as Principle component analysis (PCA), Independent component analysis (ICA), Linear discriminant analysis(LDA) the evaluated performance in terms of accuracy achieved with 98%, 99% and 95% respectively. © 2024 IEEE.

关键词： Data Analytics

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NAIST Simultaneous Speech Translation System for IWSLT 2023 20

NAIST Simultaneous Speech Translation System for IWSLT 2023

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20th International Conference on Spoken Language Translation, IWSLT 2023

作者： Fukuda, Ryo Nishikawa, Yuta Kano, Yasumasa Ko, Yuka Yanagita, Tomoya Doi, Kosuke Makinae, Mana Sakti, Sakriani Sudoh, Katsuhito Nakamura, Satoshi Nara Institute of Science and Technology Japan Japan Advanced Institute of Science and Technology Japan

ISBN: (纸本)9781959429845

This paper describes NAIST’s submission to the IWSLT 2023 Simultaneous Speech Translation task: English-to-{German, Japanese, Chinese} speech-to-text translation and English-to-Japanese speech-to-speech translation. Our speech-to-text system uses an end-to-end multilingual speech translation model based on large-scale pre-trained speech and text models. We add Inter-connections into the model to incorporate the outputs from intermediate layers of the pre-trained speech model and augment prefix-to-prefix text data using Bilingual Prefix Alignment to enhance the simultaneity of the offline speech translation model. Our speech-to-speech system employs an incremental text-to-speech module that consists of a Japanese pronunciation estimation model, an acoustic model, and a neural vocoder. © IWSLT *** rights reserved.

关键词： Computational linguistics

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Fostering Establishment of BtoB Platform Ecosystem: Ingot Information-sharing Platform Case Study

Fostering Establishment of BtoB Platform Ecosystem: Ingot In...

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2024 Portland International Conference on Management of Engineering and technology, PICMET 2024

作者： Toriyama, Hisao Uchihira, Naoshi Japan Advanced Institute of Science and Technology Ishikawa Nomi Japan

ISBN: (纸本)9781890843458

In recent years, establishing a platform ecosystem has become important for companies to gain a competitive advantage, but doing so is quite difficult for many companies. Previous studies have mainly focused on the business-to-consumer (BtoC) platform ecosystem, and limited attention has been given to the complex industrial business-to-business (BtoB) platform ecosystem, which involves industrial users instead of consumers. Although some studies have addressed the issues faced by platform leaders and complementors in the establishment phase of platform ecosystems, few have examined issues from the perspective of industrial platform users who cocreate value through the platform. This study explores the mechanism of user participation in industrial BtoB platform establishment based on a single case study and then proposes a model for building an industrial BtoB platform ecosystem. This model shows that service values are created in three stages (early, middle, and late) of the successful establishment phase, which is the theoretical and practical contribution of this study to platform ecosystem research. © 2024 PICMET.

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