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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Wang, Bichen Sun, Yixin Zi, Yuzhe Zhao, Yanyan Qin, Bing Harbin Institute of Technology School of Computer Science and Technology Harbin China

ISBN: (纸本)9798350386226

Mental health issues pose significant challenges worldwide, leading researchers to utilize computing techniques to analyze social media posts for early detection. Currently, Large Language Models (LLMs) represent advanced AI systems with exceptional language processing capabilities. However, their effectiveness depends on the use of appropriate prompts. The design of suitable prompts specifically for analyzing mental health issues remains underexplored. Drawing inspiration from psychiatrists who use psychiatric scales to assess mental health, we have developed scale-based chains of thought (Scale-CoT) prompts. These not only enhance the LLMs' ability to detect mental health issues but also increase clarity and explainability by integrating professional scales. Furthermore, we demonstrate that the knowledge generated by LLMs can be effectively transferred to smaller models, resulting in a better-performing and more lightweight system. Our approach, which leverages psychiatric scales, outperforms existing methods. Our experiments indicate that combining traditional psychiatry with computational techniques is worthwhile and deserving of further research and exploration. © 2024 IEEE.

关键词： Electronic health record

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MFTEP: A Multimodal Fusion Deep Learning Framework for T Cell Receptor-epitope Interaction Prediction

MFTEP: A Multimodal Fusion Deep Learning Framework for T Cel...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Wang, Haoyan Huang, Yifei Zang, Tianyi Harbin Institute of Technology School of Computer Science and Technology Harbin China

ISBN: (纸本)9798350386226

Accurately predicting immunogenic peptides recognized by T cell receptors (TCR) is a crucial step toward personalized immunotherapy. However, prediction of TCR-epitope interactions is still a challenging task. Early works, like molecular dynamics simulation-based methods, suffer from slow speed and poor generalization capabilities. It is necessary to develop novel computational methods to predict TCR-epitope interactions precisely. With the development of high-throughput sequencing technologies, more and more TCR-epitope interaction data have been recorded in public databases. With the help of these databases, many in silico predictive methods have shown promising performance. However, current methods still perform poorly on unseen TCRs and epitopes. Moreover, most current models still accept single-modal information about TCRs and epitopes, such as sequences or physicochemical information. Effectively utilizing the multimodal information of TCRs and epitopes, such as molecular graphs and 3D structure, may enhance the model's prediction performance. To address the above issues, we presented MFTEP, a multimodal fusion method to predict TCR-epitope interactions by fusing the sequence features, molecular graph features, and 3D structure features of TCRs and epitopes. The ablation study highlights the importance of the multi-modal fusion module in enhancing the model's performance. Several datasets were collected and utilized to evaluate the generality and robustness of the proposed model. According to the experimental results, MFTEP performs better than other state-of-the-art methods, indicating its high predictive power. Overall, the results demonstrate that MFTEP can learn general TCR-epitope interaction patterns and is a powerful prediction tool to apply to real-world scenarios. All the data and code are available at: https://***/skybluewhy/MFTEP © 2024 IEEE.

关键词： T-cells

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Stance classification model with knowledge-aware multi-feature attention network

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Neural Computing and Applications 2025年 1-26页

作者： Meng, Chao Fang, Binxing Zhang, Hongli Yang, Yuchen Yin, Gongzhu Lu, Kun School of Cyberspace Science Harbin Institute of Technology Heilongjiang Harbin150001 China

Stance classification aims to identify the stance conveyed in tweets toward a specific target. Recent works have been devoted to leveraging target word embedding to incorporate target information into the stance classification model. However, it is difficult to capture implicit target information solely through target word embedding. In addition, stance knowledge is often ignored in previous work. To address these issues, this paper proposes a novel stance classification model with knowledge-aware multi-feature attention network (SC-KMAN). Firstly, we introduce richer target information into SC-KMAN through the target information extractor T-BERT designed in this paper. Meanwhile, we introduce a sentiment feature extractor S-BERT by transfer learning. Then, we propose a knowledge-based multi-feature attention network (KMAN) to introduce stance knowledge into the stance classification model. KMAN utilizes the stance, sentiment, and target features of texts as inputs. Subsequently, it integrates stance knowledge to accurately infer the stance of texts. The experimental results on two Twitter datasets and one Chinese stance classification dataset demonstrate that SC-KMAN achieves relatively considerable performance. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Tweets

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Hybrid concurrency control protocol for data sharing among heterogeneous blockchains

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Frontiers of computer science 2024年第3期18卷 1-12页

作者： Tiezheng GUO Zhiwei ZHANG Ye YUAN Xiaochun YANG Guoren WANG School of Computer Science and Technology Beijing Institute of TechnologyBeijing 100029China School of Computer Science and Engineering Northeastern UniversityShenyang 110167China

With the development of information technology and cloud computing,data sharing has become an important part of scientific *** traditional data sharing,data is stored on a third-party storage platform,which causes the owner to lose control of the *** a result,there are issues of intentional data leakage and tampering by third parties,and the private information contained in the data may lead to more significant ***,data is frequently maintained on multiple storage platforms,posing significant hurdles in terms of enlisting multiple parties to engage in data sharing while maintaining *** this work,we propose a new architecture for applying blockchains to data sharing and achieve efficient and reliable data sharing among heterogeneous *** design a new data sharing transaction mechanism based on the system architecture to protect the security of the raw data and the processing *** also design and implement a hybrid concurrency control protocol to overcome issues caused by the large differences in blockchain performance in our system and to improve the success rate of data sharing *** took Ethereum and Hyperledger Fabric as examples to conduct crossblockchain data sharing *** results show that our system achieves data sharing across heterogeneous blockchains with reasonable performance and has high scalability.

关键词： data sharing blockchain concurrency control protocol crosschain

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Improvement strategy on thermophysical properties of A_(2)B_(2)O_(7)-type rare earth zirconates for thermal barrier coatings applications:A review

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International Journal of Minerals,Metallurgy and Materials 2024年第5期31卷 1147-1165页

作者： Zijian Peng Yuhao Wang Shuqi Wang Junteng Yao Qingyuan Zhao Enyu Xie Guoliang Chen Zhigang Wang Zhanguo Liu Yaming Wang Jiahu Ouyang School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China School of Materials and Metallurgical Engineering Inner Mongolia University of Science&TechnologyBaotou 014010China

The A_(2)B_(2)O_(7)-type rare earth zirconate compounds have been considered as promising candidates for thermal barrier coating(TBC) materials because of their low sintering rate,improved phase stability,and reduced thermal conductivity in contrast with the currently used yttria-partially stabilized zirconia (YSZ) in high operating temperature *** review summarizes the recent progress on rare earth zirconates for TBCs that insulate high-temperature gas from hot-section components in gas *** on the first principles,molecular dynamics,and new data-driven calculation approaches,doping and high-entropy strategies have now been adopted in advanced TBC materials *** this paper,the solid-state heat transfer mechanism of TBCs is explained from two aspects,including heat conduction over the full operating temperature range and thermal radiation at medium and high *** paper also provides new insights into design considerations of adaptive TBC materials,and the challenges and potential breakthroughs are further highlighted for extreme environmental *** for improving thermophysical performance are proposed in two approaches:defect engineering and material compositing.

关键词： rare earth zirconates thermal barrier coatings defect engineering doping and compositing thermal conductivity thermal expansion

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Design and fabrication of lightweight AlCrFeNiTi_(x) compositionally complex alloys with exceptional specific strength

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Rare Metals 2024年第7期43卷 3314-3328页

作者： Jun-Zhi Li Wei-Zong Bao Jie Chen Bo-Hua Yu Kun Zuo Tian Gao Ze-Yun Cai Guo-Qiang Xie School of Materials Science and Engineering Harbin Institute of Technology(Shenzhen)Shenzhen 518055China State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin 150001China

This study focuses on compositionally complex alloys(CCAs),aiming to achieve a balance between high strength and low density for new energy and aerospace *** composition of AlCrFeNiTi_(x) CCAs is strategically guided by employing density functional theory and the theoretical design of thermodynamic *** CCAs,particularly AlCrFeNiTi_(0.25) alloy,demonstrate remarkable specific yield strength(1640.8 MPa) and 22.7% maximum *** incorporation of Ti facilitates the formation of lightweight and high-strength L2_(1)phase,contributing to the overall high specific *** effects of grain boundary strengthening,solid solution strengthening,Orowan strengthening and Peierls flow stress further enhance *** exploration of micros tructural changes during fracture reveals the role of ordered phases in suppressing crack propagation and absorbing energy within disordered phases,thereby improving the toughness and fracture resistance of *** methods and discoveries establish a robust foundation for advancing the development of novel lightweight CCAs.

关键词： Lightweight Compositionally complex alloys Specific yield strength

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Application of CoFe_(2)O_(4)-NiO nanoparticle-coated foam-structured material in a high-flux solar thermochemical reactor

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science China(Technological sciences) 2023年第11期66卷 3276-3286页

作者： ZHANG Hao ZHANG XiaoMi YANG DaZhi SHUAI Yong GUENE LOUGOU Bachirou PAN QingHui WANG FuQiang School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbin 150001China School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001China School of New Energy Harbin Institute of Technology at WeihaiWeihai 264209China

The splitting of carbon dioxide through the two-step solar thermochemical cycle presents enormous potential,for it holds the dual functionalities of solar fuel production and carbon-based energy ***,the industrialization of this technology is impeded by two critical factors:The absence of fully developed oxygen carriers and advanced reaction devices that deliver exceptional *** order to identify a potentially effective oxygen carrier,50 wt%NiO-modified Co Fe_(2)O_(4)is selected as the active component and characterized by means of thermogravimetry,scanning electron microscopy,and energy dispersive spectroscopy,so as to clarify its oxygen exchange capacity,micromorphology and elemental composition in high-temperature thermochemical ***,nanoparticle-coated foam-structured materials are prepared in combination with Si C ceramic foam for experimental testing in a high-flux solar *** results indicate that a peak CO yield of 1.96 m L min^(-1)g^(-1)can be gained in a 1500–1250 K preliminary test,demonstrating the application potential of the *** contrast to conventional redox materials,the CO_(2)activity of the materials synthesized in this study exhibits an enhancement with rising oxidation *** means that isothermal cycles can potentially achieve higher conversion and fuel yield than non-isothermal cycles,while simultaneously reducing the amount of irreversible heat loss during high-temperature *** the estimated steadystate thermal efficiency of the solar reactor can reach up to 42%,further optimization of the reactor design is necessary to enhance energy conversion efficiency,as it is partially limited by the dimensions of the reaction chamber.

关键词： solar thermochemistry CO_(2)splitting two-step redox cycle iron-base oxygen carrier reactor design

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Synergistic improvement of the mechanical and biological performance of Si_(3)N_(4) by incorporating nanostructured graphene

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Journal of Advanced Ceramics 2025年第2期14卷 141-150页

作者： Zhe Zhan Bin Deng Yanru Chen Xinghong Zhang Jinzhu Song School of Life Science and Technology Harbin Institute of TechnologyHarbin 150001China Department of Stomatology the First Medical CenterChinese PLA General HospitalBeijing 100853China Center for Composite Materials and Structures Harbin Institute of TechnologyHarbin 150001China

Achieving synergy between mechanical and biological performance has long been a challenge in developing silicon nitride (Si_(3)N_(4)) as a bone regeneration implant material. In this study, a nanostructured graphene-toughened Si_(3)N_(4) composite (Si_(3)N_(4)–G) was prepared, and the mechanical and biological properties of the resulting Si_(3)N_(4)–G composite were compared with those of Si_(3)N_(4) ceramics without graphene addition. The incorporation of nanostructured graphene substantially improves the mechanical properties of Si_(3)N_(4). Furthermore, the nanoscale thickness of graphene enhances antibacterial activity through a “cutting” effect, while its high specific surface area promotes cell adhesion, activating mechanosensitive pathways linked to osteogenic differentiation. This work provides new insights into the potential applications of Si_(3)N_(4)-based bio-ceramics in bone tissue engineering.

关键词： silicon nitride(Si_(3)N_(4)) graphene(G) mechanical properties biocompatibility

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Effect of Heat Flux Distribution on Entropy Generation and Irreversibility of Lead-Bismuth Eutectic(LBE)Forced Convective Heat Transfer

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Journal of Thermal science 2023年第1期32卷 223-236页

作者： ZHANG Dong ZHANG Haochun WANG Qi SUN Wenbo School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001China

Investigations on entropy generation and thermal irreversibility analysis are conducted for liquid lead-bismuth eutectic(LBE)in an annular *** find better performance in convective heat transfer,the computational fluid dynamics(CFD)code based on the finite volume method(FVM)is adopted to solve this *** elevated temperature LBE flows in the annular pipe,and four types of heat flux,including constant,linear increase and decrease,and parabolic distributions are imposed at the inside wall of the annular *** investigations are conducted for the specific average heat input of 200 kW/m^(2),and the different Peclet number Pe is set from 1200 to *** SST k-ωturbulent model and Cheng-Tak Prt model are *** mesh independence validation and models verification are also conducted and the maximum Nu error is 5.43%compared with previous experimental *** results from the local and system scales,respectively,including volumetric dimensionless entropy generation,Ns,Be,and Ep,are *** results indicate that the viscous friction and heat transfer caused by entropy generation can be found in the viscous sub-layer and buffer layer *** transfer is the primary factor that leads to irreversible ***,the results show that the best thermodynamic performance occurs under parabolic distributed heat flux in the research scope.

关键词： liquid lead-bismuth eutectic entropy generation analysis annular pipe CFD

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Exciting broadband thermochromic transmission property opposite to vanadium dioxide in the atmospheric window

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science China(Technological sciences) 2024年第7期67卷 2244-2254页

作者： GONG YiQuan GUO YanMing CHEN ShuNi LI Meng PAN QingHui SHUAI Yong Ministry of Industry and Information Technology Key Laboratory of Aerospace Thermophysics School of Energy Science and EngineeringHarbin Institute of TechnologyHarbin 150001China

The traditional telecommunications band performs poorly in harsh weather conditions due to atmospheric absorption. In recent years, researchers have begun to study optical communication through atmospheric windows, and optical switches are an essential component of optical communication. A broadband atmospheric window optical switch was proposed based on Vanadium dioxide and magnetic polaritons(MP). It is formed by the stacking of two metal-dielectric-metal structures. The simulation results show that the modulation depth can reach 98.38%, and the extinction ratio is 17.93 dB. By calculating the magnetic field, we confirmed that the reason for the “off” mode is the coupling between the different MP modes, while the “on”mode is the excitation of MP. The optical switch we proposed may be applied to radiation cooling and optical satellite communication.

关键词： optical communication thermochromic property atmospheric window optical switch magnetic polariton

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