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< Page ,Total 16290 >
Attention-Enhanced and Knowledge-Fused Dual Item Representations Network for Recommendation SCIE
期刊论文 | 2025 , 30 (2) , 585-599 | TSINGHUA SCIENCE AND TECHNOLOGY
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Abstract :

Integrating Knowledge Graphs (KGs) into recommendation systems as supplementary information has become a prevalent strategy. By leveraging the semantic relationships between entities in KGs, recommendation systems can better comprehend user preferences. Due to the unique structure of KGs, methods based on Graph Neural Networks (GNNs) have emerged as the current technical trend. However, existing GNN-based methods struggle to (1) filter out noisy information in real-world KGs, and (2) differentiate the item representations obtained from the knowledge graph and bipartite graph. In this paper, we introduce a novel model called Attention-enhanced and Knowledge-fused Dual item representations Network for recommendation (namely AKDN) that employs attention and gated mechanisms to guide aggregation on both knowledge graphs and bipartite graphs. In particular, we firstly design an attention mechanism to determine the weight of each edge in the information aggregation on KGs, which reduces the influence of noisy information on the items and enables us to obtain more accurate and robust representations of the items. Furthermore, we exploit a gated aggregation mechanism to differentiate collaborative signals and knowledge information, and leverage dual item representations to fuse them together for better capturing user behavior patterns. We conduct extensive experiments on two public datasets which demonstrate the superior performance of our AKDN over state-of-the-art methods, like Knowledge Graph Attention Network (KGAT) and Knowledge Graph- based Intent Network (KGIN).

Keyword :

Attention mechanisms Knowledge engineering Collaboration Logic gates Recommender systems Knowledge Graph (KG) Knowledge graphs Graph Neural Networks (GNN) Noise measurement Semantics Market research Bipartite graph Recommender System (RS) attention mechanism

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GB/T 7714 Hua, Qiang , Zhou, Jiachao , Zhang, Feng et al. Attention-Enhanced and Knowledge-Fused Dual Item Representations Network for Recommendation [J]. | TSINGHUA SCIENCE AND TECHNOLOGY , 2025 , 30 (2) : 585-599 .
MLA Hua, Qiang et al. "Attention-Enhanced and Knowledge-Fused Dual Item Representations Network for Recommendation" . | TSINGHUA SCIENCE AND TECHNOLOGY 30 . 2 (2025) : 585-599 .
APA Hua, Qiang , Zhou, Jiachao , Zhang, Feng , Dong, Chunru , Xu, Dachuan . Attention-Enhanced and Knowledge-Fused Dual Item Representations Network for Recommendation . | TSINGHUA SCIENCE AND TECHNOLOGY , 2025 , 30 (2) , 585-599 .
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Evaluation Method of Motor Coordination Ability in Children Based on Machine Vision SCIE
期刊论文 | 2025 , 30 (2) , 633-649 | TSINGHUA SCIENCE AND TECHNOLOGY
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Abstract :

Motor coordination is crucial for preschoolers' development and is a key factor in assessing childhood development. Current diagnostic methods often rely on subjective manual assessments. This paper presents a machine vision-based approach aimed at improving the objectivity and adaptability of assessments. The method proposed involves the extraction of key points from the human skeleton through the utilization of a lightweight pose estimation network, thereby transforming video assessments into evaluations of keypoint sequences. The study uses different methods to handle static and dynamic actions, including regularization and Dynamic Time Warping (DTW) for spatial alignment and temporal discrepancies. A penalty-adjusted single-frame pose similarity method is used to evaluate actions. The lightweight pose estimation model reduces parameters by 85%, uses only 6.6% of the original computational load, and has an average detection missing rate of less than 1%. The average error for static actions is 0.071 with a correlation coefficient of 0.766, and for dynamic actions it is 0.145 with a correlation coefficient of 0.653. These results confirm the proposed method's effectiveness, which includes customized visual components like motion waveform graphs to improve accuracy in pediatric healthcare diagnoses.

Keyword :

Correlation coefficient Motor coordination decision support system Pose estimation Visualization dynamic time warping Skeleton Manuals developmental coordination disorder Accuracy Machine vision action quality assessment Pediatrics Reliability pose estimation

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GB/T 7714 Lei, Yi , Shu, Dawei , Yu, Miao et al. Evaluation Method of Motor Coordination Ability in Children Based on Machine Vision [J]. | TSINGHUA SCIENCE AND TECHNOLOGY , 2025 , 30 (2) : 633-649 .
MLA Lei, Yi et al. "Evaluation Method of Motor Coordination Ability in Children Based on Machine Vision" . | TSINGHUA SCIENCE AND TECHNOLOGY 30 . 2 (2025) : 633-649 .
APA Lei, Yi , Shu, Dawei , Yu, Miao , Shi, Donglin , Li, Jianqiang , Chen, Yanjie . Evaluation Method of Motor Coordination Ability in Children Based on Machine Vision . | TSINGHUA SCIENCE AND TECHNOLOGY , 2025 , 30 (2) , 633-649 .
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Understanding the ultrashort laser microwelding process of ceramics to metals by numerical and experimental investigations SCIE
期刊论文 | 2025 , 37 (1) | JOURNAL OF LASER APPLICATIONS
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Abstract :

Ultrashort laser microwelding is an advanced technology with significant potential and benefits for welding dissimilar materials, including ceramics and metals. Details of the microwelding process involving ceramics and metals with ultrashort lasers remain somewhat unclear, especially regarding phase transformation and the underlying mechanism of joint formation. In this study, we utilized the ultrashort laser microwelding technique to join sapphire and Invar alloy. We have developed a predictive numerical model to calculate the interfacial temperature during the laser irradiation process. The relative contributions of heat diffusion, heat radiation, and heat accumulation in the welding process of two materials were investigated under single and multiple pulses. Upon implementing laser pulse energies of 35, 40, and 50 mu J, the maximum temperatures of sapphire were 3027.8, 4179.89, and 4533.30 K, respectively. The maximum temperature of the Invar alloy exceeded the vaporization temperature (3223.15 K). This resulted in various phase transformations, including evaporation, ionization, and melting, that occurred on both substrates. These transformations also caused the intermixing and diffusion of materials. It then resulted in the formation of the final joint. Based on the findings, we aim to provide a more comprehensive understanding and practical applications of the ultrashort laser microwelding technique.

Keyword :

invar alloy sapphire ultrashort laser numerical simulation welding

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GB/T 7714 Zhang, Tao , Wu, Ming , Jiang, Qing et al. Understanding the ultrashort laser microwelding process of ceramics to metals by numerical and experimental investigations [J]. | JOURNAL OF LASER APPLICATIONS , 2025 , 37 (1) .
MLA Zhang, Tao et al. "Understanding the ultrashort laser microwelding process of ceramics to metals by numerical and experimental investigations" . | JOURNAL OF LASER APPLICATIONS 37 . 1 (2025) .
APA Zhang, Tao , Wu, Ming , Jiang, Qing , Yang, Jin , Xu, Jiayi , Yang, Meng et al. Understanding the ultrashort laser microwelding process of ceramics to metals by numerical and experimental investigations . | JOURNAL OF LASER APPLICATIONS , 2025 , 37 (1) .
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Salsolinol as an RNA m6A methylation inducer mediates dopaminergic neuronal death by regulating YAP1 and autophagy SCIE
期刊论文 | 2025 , 20 (3) , 887-899 | NEURAL REGENERATION RESEARCH
WoS CC Cited Count: 2
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Abstract :

Salsolinol (1-methyl-6,7-dihydroxy-1,2,3,4-tetrahydroisoquinoline, Sal) is a catechol isoquinoline that causes neurotoxicity and shares structural similarity with 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine, an environmental toxin that causes Parkinson's disease. However, the mechanism by which Sal mediates dopaminergic neuronal death remains unclear. In this study, we found that Sal significantly enhanced the global level of N-6-methyladenosine (m(6)A) RNA methylation in PC12 cells, mainly by inducing the downregulation of the expression of m(6)A demethylases fat mass and obesity-associated protein (FTO) and alkB homolog 5 (ALKBH5). RNA sequencing analysis showed that Sal downregulated the Hippo signaling pathway. The m(6)A reader YTH domain-containing family protein 2 (YTHDF2) promoted the degradation of m(6)A-containing Yes-associated protein 1 (YAP1) mRNA, which is a downstream key effector in the Hippo signaling pathway. Additionally, downregulation of YAP1 promoted autophagy, indicating that the mutual regulation between YAP1 and autophagy can lead to neurotoxicity. These findings reveal the role of Sal on m(6)A RNA methylation and suggest that Sal may act as an RNA methylation inducer mediating dopaminergic neuronal death through YAP1 and autophagy. Our results provide greater insights into the neurotoxic effects of catechol isoquinolines compared with other studies and may be a reference for assessing the involvement of RNA methylation in the pathogenesis of Parkinson's disease.

Keyword :

YTHDF2 FTO salsolinol RNA methylation YAP1 Hippo pathway autophagy ALKBH5 m(6)A Parkinson's disease

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GB/T 7714 Wang, Jianan , Ran, Yuanyuan , Li, Zihan et al. Salsolinol as an RNA m6A methylation inducer mediates dopaminergic neuronal death by regulating YAP1 and autophagy [J]. | NEURAL REGENERATION RESEARCH , 2025 , 20 (3) : 887-899 .
MLA Wang, Jianan et al. "Salsolinol as an RNA m6A methylation inducer mediates dopaminergic neuronal death by regulating YAP1 and autophagy" . | NEURAL REGENERATION RESEARCH 20 . 3 (2025) : 887-899 .
APA Wang, Jianan , Ran, Yuanyuan , Li, Zihan , Zhao, Tianyuan , Zhang, Fangfang , Wang, Juan et al. Salsolinol as an RNA m6A methylation inducer mediates dopaminergic neuronal death by regulating YAP1 and autophagy . | NEURAL REGENERATION RESEARCH , 2025 , 20 (3) , 887-899 .
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Catalyst design for ammonia decomposition: an overview
期刊论文 | 2025 | INDUSTRIAL CHEMISTRY & MATERIALS
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Ammonia serves as a viable medium for hydrogen storage owing to its significant hydrogen content and elevated energy density, and the absence of carbon dioxide emissions during ammonia-to-hydrogen production has inspired more research on ammonia decomposition. Despite growing interest, a significant gap persists between the depth of existing studies and the practical approach to on-the-spot hydrogen generation using ammonia decomposition. The creation of effective and accessible catalysts to feed ammonia decomposition is a critical step in addressing this daunting challenge. This paper systematically summarizes four key catalyst design strategies, including size effect, alkalinity modulation, metal-support interactions, and alloying, informed by experimental and theoretical investigations into ammonia decomposition. Each strategy's underlying mechanism for enhancing ammonia decomposition is elucidated in detail. Moreover, the paper categorizes catalysts employed in existing ammonia decomposition reactors to guide future catalyst development. The influence of diverse energy sources and reactor configurations on catalyst performance is also discussed to provide a comprehensive framework for advancing ammonia decomposition catalyst research.Keywords: Ammonia decomposition reaction; Catalyst design; Particle size effect; Adjustment of alkalinity; Strong metal-support interaction; Alloying effect.

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GB/T 7714 Han, Tong , Wei, Lu , Xie, Shaohua et al. Catalyst design for ammonia decomposition: an overview [J]. | INDUSTRIAL CHEMISTRY & MATERIALS , 2025 .
MLA Han, Tong et al. "Catalyst design for ammonia decomposition: an overview" . | INDUSTRIAL CHEMISTRY & MATERIALS (2025) .
APA Han, Tong , Wei, Lu , Xie, Shaohua , Liu, Yuxi , Dai, Hongxing , Deng, Jiguang . Catalyst design for ammonia decomposition: an overview . | INDUSTRIAL CHEMISTRY & MATERIALS , 2025 .
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一种隧道爆破施工对既有建筑影响的预测方法和系统 zhihuiya
专利 | 2024-07-29 | CN202411019118.9
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Abstract :

本发明涉及隧道爆破控制技术领域,具体涉及一种隧道爆破施工对既有建筑影响的预测方法和系统。本发明方法包括以下步骤:获取隧道爆破数据样本集,并对所述隧道爆破数据样本集进行归一化处理,所述隧道爆破数据样本包括隧道爆破影响参数和对应爆破振动速度;利用优化策略改进鱼群搜索算法,并结合反向传播神经网络和改进后的鱼群搜索算法,构建隧道爆破振动速度预测模型;通过所述隧道爆破数据样本集,训练并验证所述隧道爆破振动速度预测模型,进而根据待爆破隧道爆破影响参数,获得预测爆破振动速度;基于所述预测爆破振动速度,完成隧道爆破施工对既有建筑影响的预测。本发明解决了快速准确预测不同场景下隧道爆破施工对既有建筑影响的问题。

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GB/T 7714 武永博 , 张小军 , 高文学 et al. 一种隧道爆破施工对既有建筑影响的预测方法和系统 : CN202411019118.9[P]. | 2024-07-29 .
MLA 武永博 et al. "一种隧道爆破施工对既有建筑影响的预测方法和系统" : CN202411019118.9. | 2024-07-29 .
APA 武永博 , 张小军 , 高文学 , 李卓 , 郑鹏武 , 麻阿顺 . 一种隧道爆破施工对既有建筑影响的预测方法和系统 : CN202411019118.9. | 2024-07-29 .
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一种设置通长自复位筋的既有桥墩加固结构 zhihuiya
专利 | 2024-07-16 | CN202421685580.8
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本实用新型公开了一种设置通长自复位筋的既有桥墩加固结构,包括从下至上连接的承台、桥墩和盖梁,还包括连通设置在所述承台、桥墩和盖梁内的既有纵筋,所述桥墩顶部和底部的外层部分向内开设内槽,所述内槽露出所述既有纵筋,露出的所述既有纵筋外层包裹一层胶带,所述内槽位置浇筑UHPC混凝土。利用UHPC混凝土和FRP布约束桥墩,增强桥墩强度,减小桥墩损伤,从而实现震后的低损伤和快速恢复。此加固结构的桥墩基本不改变桥墩外形,而且采用价格低廉的FRP筋和FRP布,成本较低,施工方便,易于推广。

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GB/T 7714 高明大 , 郭河 , 贾俊峰 et al. 一种设置通长自复位筋的既有桥墩加固结构 : CN202421685580.8[P]. | 2024-07-16 .
MLA 高明大 et al. "一种设置通长自复位筋的既有桥墩加固结构" : CN202421685580.8. | 2024-07-16 .
APA 高明大 , 郭河 , 贾俊峰 , 魏博 , 郭彬立 , 顾冉星 . 一种设置通长自复位筋的既有桥墩加固结构 : CN202421685580.8. | 2024-07-16 .
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一种利用菌藻共生处理农村灰水的系统及方法 zhihuiya
专利 | 2024-07-22 | CN202410978859.3
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本发明涉及污水处理技术领域,公开了一种利用菌藻共生处理农村灰水的系统及方法,包括混合池,用于收集混合灰水;菌藻共生系统,菌藻共生系统一侧通过第一管道与混合池连通,第一管道上安装有进水阀和进水泵,菌藻共生系统另一侧通过第二管道连接有消毒系统,第二管道上安装有出水阀;回流管,回流管一端与第一管道连通,且位于进水阀和进水泵之间,回流管另一端与第二管道连通,且位于菌藻共生系统和出水阀之间,回流管上安装有回流阀。本发明实现了农村灰水中不同污染物的高效去除,同时菌藻共生技术作为一种操作简单,反应条件温和、环境友好的水处理技术,其特点适用于农村灰水处理与回用。

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GB/T 7714 刘元坤 , 郭晓天 , 王志维 . 一种利用菌藻共生处理农村灰水的系统及方法 : CN202410978859.3[P]. | 2024-07-22 .
MLA 刘元坤 et al. "一种利用菌藻共生处理农村灰水的系统及方法" : CN202410978859.3. | 2024-07-22 .
APA 刘元坤 , 郭晓天 , 王志维 . 一种利用菌藻共生处理农村灰水的系统及方法 : CN202410978859.3. | 2024-07-22 .
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茶几 zhihuiya
专利 | 2024-07-11 | CN202430432805.8
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1.本外观设计产品的名称:茶几。 2.本外观设计产品的用途:用于家具。 3.本外观设计产品的设计要点:在于形状。 4.最能表明设计要点的图片或照片:立体图1。

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GB/T 7714 佟昕儒 . 茶几 : CN202430432805.8[P]. | 2024-07-11 .
MLA 佟昕儒 . "茶几" : CN202430432805.8. | 2024-07-11 .
APA 佟昕儒 . 茶几 : CN202430432805.8. | 2024-07-11 .
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椅子 zhihuiya
专利 | 2024-07-11 | CN202430432806.2
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1.本外观设计产品的名称:椅子。 2.本外观设计产品的用途:用于家具。 3.本外观设计产品的设计要点:在于形状。 4.最能表明设计要点的图片或照片:立体图1。

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GB/T 7714 佟昕儒 . 椅子 : CN202430432806.2[P]. | 2024-07-11 .
MLA 佟昕儒 . "椅子" : CN202430432806.2. | 2024-07-11 .
APA 佟昕儒 . 椅子 : CN202430432806.2. | 2024-07-11 .
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