检索结果-内蒙古大学图书馆

arXiv 2025年

作者： Dai, Dongyang Wu, Zhiyong Li, Runnan Wu, Xixin Jia, Jia Meng, Helen Tsinghua-CUHK Joint Research Center for Media Sciences Technologies and Systems Graduate School at Shenzhen Tsinghua University Shenzhen China Department of Computer Science and Technology Tsinghua University Beijing China Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Shatin Hong Kong

Identifying the emotional state from speech is essential for the natural interaction of the machine with the speaker. However, extracting effective features for emotion recognition is difficult, as emotions are ambiguous. We propose a novel approach to learn discriminative features from variable length spectrograms for emotion recognition by cooperating softmax cross-entropy loss and center loss together. The softmax cross-entropy loss enables features from different emotion categories separable, and center loss efficiently pulls the features belonging to the same emotion category to their center. By combining the two losses together, the discriminative power will be highly enhanced, which leads to network learning more effective features for emotion recognition. As demonstrated by the experimental results, after introducing center loss, both the unweighted accuracy and weighted accuracy are improved by over 3% on Mel-spectrogram input, and more than 4% on Short Time Fourier Transform spectrogram input. Copyright © 2025, The Authors. All rights reserved.

关键词： Spectrographs

来源：评论

学校读者我要写书评

暂无评论

Susceptibility of Brca1^(L63X/+) rat to ovarian reserve dissipation by chemotherapeutic agents to breast cancer

引用

Cancer science 2025年第4期116卷 1139-1152页

作者： Kaseki, Satoshi Sonehara, Reina Motooka, Yashiro Tanaka, Hideaki Nakamura, Tomoko Osuka, Satoko Akatsuka, Shinya Kajiyama, Hiroaki Mashimo, Tomoji Imaoka, Tatsuhiko Toyokuni, Shinya Department of Pathology and Biological Responses Nagoya University Graduate School of Medicine Nagoya Japan Department of Obstetrics and Gynecology Nagoya University Graduate School of Medicine Nagoya Japan Department of Maternal and Perinatal Medicine Nagoya University Hospital Aichi Nagoya Japan Division of Animal Genetics Laboratory Animal Research Center Institute of Medical Science The University of Tokyo Tokyo Japan Division of Genome Engineering Center for Experimental Medicine and Systems Biology Institute of Medical Science The University of Tokyo Tokyo Japan Department of Radiation Effects Research Institute for Radiological Science National Institutes for Quantum Science and Technology Chiba Japan Center for Low-temperature Plasma Sciences Nagoya University Nagoya Japan Center for Integrated Sciences of Low-temperature Plasma Core Research (iPlasma Core) Tokai National Higher Education and Research System Nagoya Japan

BRCA1 is one of the causative genes for hereditary breast and ovarian cancer syndrome with a high risk of early-onset breast cancer. Whereas olaparib (OLA), an inhibitor of poly-ADP-ribose polymerase, has been applied as adjuvant therapy to those cancer patients, its effect on ovarian reproductive function remains unelucidated. Recently, a rat model (MUT;Brca1^(L63X/+) mutation) mimicking a human BRCA1 pathogenic variant has been established. Using this model, we evaluated the effects of OLA on ovarian reproductive function in comparison with the wild-type (WT) rats. MUT showed a significantly reduced number of primordial follicles and subfertility in accordance with aging. Oxidative stress was significantly elevated in the young MUT granulosa cells (GCs) accompanied by increased mTOR but decreased PTEN signals. OLA administration in MUT further decreased primordial follicles, with gene set enrichment analysis, indicating upregulated DNA repair pathways. Furthermore, a combination of OLA and cyclophosphamide (CPA) induced empty primordial follicles, recognized as CPA-induced severe ovarian toxicity. Whereas OLA + CPA caused greater reduction in primordial follicles both in MUT and WT in comparison with CPA alone, MUT ovaries were more susceptible to oxidative stress, potentially depleting primordial follicles via activation of GCs and inducing oocyte death due to accumulated DNA damage by OLA treatment. Our findings in this preclinical model underscore the importance of evaluating ovarian reserve prior to chemotherapy by performing reproductive consultation with female patients with BRCA1 pathogenic variants. © 2024 The Author(s). Cancer science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.

关键词： aging BRCA1 cyclophosphamide fertility PARP inhibitor primordial follicle

来源：评论

学校读者我要写书评

暂无评论

Data-Driven Nonconvex Reachability Analysis using Exact Multiplication

arXiv

引用

arXiv 2025年

作者： Zhang, Zhen Niazi, M. Umar B Chong, Michelle S. Johansson, Karl H. Alanwar, Amr School of Computation Information and Technology Technical University of Munich Germany Division of Decision and Control Systems Digital Futures School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Department of Mechanical Engineering Eindhoven University of Technology Netherlands

This paper addresses a fundamental challenge in data-driven reachability analysis: accurately representing and propagating non-convex reachable sets. We propose a novel approach using constrained polynomial zonotopes to describe reachable sets for unknown LTI systems. Unlike constrained zonotopes commonly used in existing literature, constrained polynomial zonotopes are closed under multiplication with constrained matrix zonotopes. We leverage this property to develop an exact multiplication method that preserves the non-convex geometry of reachable sets without resorting to approximations. We demonstrate that our approach provides tighter over-approximations of reachable sets for LTI systems compared to conventional methods. © 2025, CC BY.

关键词： Geometry

来源：评论

学校读者我要写书评

暂无评论

Hydrogen Production from Kitchen Waste Leachate in a 10-L Microbial Electrolysis Cell with Spiral Nickel Mesh as Cathode Under Alkaline Conditions

SSRN

引用

SSRN 2025年

作者： Tu, Lingli Ma, Shuyue Li, Xin Fan, Qingjuan Luo, Haiping Wei, Chunhai Liu, Guangli Li, Huan Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology School of Environmental Science and Engineering Sun Yatsen University Guangzhou510006 China Department of Municipal Engineering School of Civil Engineering Guangzhou University Guangzhou510006 China Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China

This study aimed to investigate hydrogen (H2) production from kitchen waste leachate using microbial electrolysis cells (MEC) with spiral nickel mesh (NM) as the cathode under alkaline conditions. With a ratio of spiral NM cathode area to reactor volume (α) of 42 m2 m-3 at pH of 10.5, the performance of a 100-mL MEC was comparable to that of the carbon cloth cathode loaded with 0.5 mg platinum/cm2 as the catalyst. A 10-L dual-chamber MEC with the α of 42 m2 m-3 was constructed using multiple carbon brushes as the anode, spiral NM sheet as the cathode and anion exchange membrane as the separator. Under conditions of pH of 10.5 and applied voltage of 3.5 V, the maximum current density of the 10-L MEC fed by 5.5 g/L kitchen waste leachate reached 295.7 ± 30.0 A/m3 with the H2 content higher than 94%. The H2 production rate reached 2.75 ± 0.28 m3·m-3·d-1 with a conversion efficiency of 1.24 ± 0.13 L·H2·g-1·COD. Excellent H2 production without methanogen contamination was attributed to a suitable scaled-up spiral NM cathode with high catalytic activity under alkaline conditions. Our spiral cathode MEC module should be useful for scaling up high-purity H2 production in wastewater treatment. © 2025, The Authors. All rights reserved.

关键词： Ion exchange membranes

来源：评论

学校读者我要写书评

暂无评论

Learning-Based Asynchronous Sliding Mode control for Switching systems with Partly Unknown Probabilities

引用

IEEE Transactions on Automation science and engineering 2025年 22卷 15526-15535页

作者： Cheng, Jun Tang, Tianfeng Yan, Huaicheng Park, Ju H. Basin, Michael V. Guangxi Normal University School of Mathematics and Statistics Guilin541006 China East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education Shanghai200237 China Yeungnam University Department of Electrical Engineering 280 Daehak-Ro Kyongsan38541 Korea Republic of Ningbo University of Technology Institute for Interdisciplinary Research in Intelligent Science Zhejiang Ningbo315211 China School of Physical and Mathematical Sciences Autonomous University of Nuevo León San Nicolás de los Garza66455 Mexico

This study focuses on the learning-based asynchronous sliding mode control for switching systems, operating under a general switching rule and partially unknown probability information. A novel switching rule is constructed, governed by a joint probability distribution dependent on the current mode and its duration time, thereby overcoming the limitations of traditional Markov/semi-Markov models in terms of the difficulty in obtaining transition probabilities and computational complexity. Departing from traditional geometric distribution assumption, the proposed method follows more general duration distribution. Acknowledging the challenge of obtaining complete probability information in practical scenarios, partially unknown probability information is considered. In addition, a learning-based asynchronous sliding mode control law is developed, aimed at guiding state signals onto preset sliding regions and effectively reducing chattering induced by mode switchings. Finally, the efficacy and superiority of the developed theories are verified through both numerical and practical examples. © 2004-2012 IEEE.

关键词： Normal distribution

来源：评论

学校读者我要写书评

暂无评论

Non-Negative Tensor Factorization of Infant Spontaneous Movements: A Pilot Study for ASD Risk Evaluation of Newborn Infants

Non-Negative Tensor Factorization of Infant Spontaneous Move...

引用

2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Yonei, Rikuya Furui, Akira Doi, Hirokazu Shimatani, Koji Hayashi, Hideaki Yamamoto, Midori Sakurai, Kenichi Mori, Chisato Tsuji, Toshio Hiroshima University Graduate School of Advanced Science and Engineering 1-4-1 Kagamiyama Hiroshima Higashi-Hiroshima739-8527 Japan Nagaoka University of Technology Department of Information and Management Systems Engineering 1603-1 Kamitomioka Niigata Nagaoka940-2188 Japan Prefectural University of Hiroshima Faculty of Health and Welfare 1-1 Gakuen-machi Hiroshima Mihara723-0053 Japan Osaka University Institute for Datability Science 2-8 Yamadaoka Osaka Suita565-0871 Japan Chiba University Center for Preventive Medical Sciences Department of Nutrition and Metabolic Medicine 1-33 Yayoi-cho Inage-ku Chiba263-8522 Japan Chiba University Center for Preventive Medical Sciences Department of Sustainable Health Science 1-33 Yayoi-cho Inage-ku Chiba263-8522 Japan Chiba University Graduate School of Medicine Department of Bioenvironmental Medicine 1-8-1 Inohana Chuo-ku Chiba260-8670 Japan

ISBN: (纸本)9798331531614

Early detection of infants with autism spectrum disorder (ASD) can lead to effective developmental support. In clinical practice, early screening of 18-month-old infants is implemented using a parent-completed questionnaire. However, research has suggested that signs of ASD may also appear in movement characteristics during the first few months of age. In this paper, we propose a method to evaluate infant movement from videos based on non-negative tensor factorization (NTF) and apply it to ASD risk assessment in the neonatal period. The proposed method applies NTF to pose data estimated from videos, and decomposes the infant's movements into multiple components while considering the linkage between body parts. In the experiment, we evaluated the effectiveness of the proposed method using 36 low-risk infants and 13 high-risk infants for ASD, with the aim of applying the method to ASD risk assessment. The results showed that the proposed method captured the tendency for infants to perform different movements depending on their risk level. Machine learning analysis revealed that the proposed method identified ASD risk with an accuracy exceeding 70%, which was comparable or superior to the existing video evaluation method based on heuristically designed indicators. © 2025 IEEE.

关键词： Non-negative matrix factorization

来源：评论

学校读者我要写书评

暂无评论

Development of a Deep Sea Remote Experiment System for Visualizing Methane Bubbles Behavior in Hydrate Environment

Development of a Deep Sea Remote Experiment System for Visua...

引用

International Symposium on Underwater Technology

作者： Jumpei Oda Hayato Kondo Shukichi Kobayashi Chiharu Aoyama Graduate School of Marine Science and Technology Tokyo University of Marine Science and Technology Tokyo Japan Department of Maritime Systems Engineering Tokyo University of Marine Science and Technology Tokyo Japan Tokyo University of Marine Science and Technology Tokyo Japan

ISBN: (数字)9798331534189

ISBN: (纸本)9798331534196

As part of the research and development of shallow methane hydrate recovery and production technologies for deep-sea environments, the potential use of membrane structures for capturing methane seeps while mining and for pollution prevention to reduce environmental impact of mining has been investigated. In our previous study, we developed a visualization system that replicates the methane hydrate environment on the seafloor in a laboratory setting. This system has been utilized to conduct numerous laboratory experiments, providing insights into the behavior of methane bubbles with a hydrate film on their surface. These bubbles differ from conventional methane bubbles in their interaction with various membrane materials. The pure water is utilized in these experiments to eliminate the impact of complex variables present in sea water, such as dissolved gases, ions, and particles. To validate the applicability of the obtained characteristics to the actual sea environment, comparison tests should be conducted in the deep sea, where methane hydrate exists. In this study, we have developed a deep sea remote experiment system that has capabilities to execute analogous tests in situ within a deep sea environment. The design of the system and some results obtained at depths of approximately 1000 meters are presented in this paper.

关键词： Methane Meters Visualization Sea surface Pollution Prevention and mitigation Sea floor Production Underwater technology Research and development

来源：评论

学校读者我要写书评

暂无评论

Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: Challenges and a Roadmap

arXiv

引用

arXiv 2025年

作者： Xu, Jianye Alrifaee, Bassam Betz, Johannes Mokhtarian, Armin Mittal, Archak Cai, Mengchi Mangharam, Rahul Shehata, Omar M. Elias, Catherine M. Zaech, Jan-Nico Scheffe, Patrick Jahncke, Felix Ulhas, Sangeet Sankaramangalam Arfvidsson, Kaj Munhoz Department of Computer Science RWTH Aachen University Germany Department of Aerospace Engineering University of the Bundeswehr Munich Germany Professorship of Autonomous Vehicle Systems Technical University of Munich Germany Department of Civil Engineering Indian Institute of Technology Bombay India School of Vehicle and Mobility Tsinghua University China Department of Electrical and Systems Engineering University of Pennsylvania United States Mechatronics Engineering Department Faculty of Engineering and Materials Science The German University in Cairo Egypt Department of Computer Science Engineering The German University in Cairo Egypt INSAIT Sofia University "St. Kliment Ohridski" Bulgaria School for Engineering of Matter Transport and Energy Arizona State University United States Division of Decision and Control Systems KTH Royal Institute of Technology Sweden

This article proposes a roadmap to address the current challenges in small-scale testbeds for Connected and Automated Vehicles (CAVs) and robot swarms. The roadmap is a joint effort of participants in the workshop "1st Workshop on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms," held on June 2 at the IEEE Intelligent Vehicles Symposium (IV) 2024 in Jeju, South Korea. The roadmap contains three parts: 1) enhancing accessibility and diversity, especially for underrepresented communities, 2) sharing best practices for the development and maintenance of testbeds, and 3) connecting testbeds through an abstraction layer to support collaboration. The workshop features eight invited speakers, four contributed papers [1]–[4], and a presentation of a survey paper on testbeds [5]. The survey paper provides an online comparative table of more than 25 testbeds, available at https://***/testbeds-survey. The workshop’s own website is available at https://***/iv24-workshop. Copyright © 2025, The Authors. All rights reserved.

关键词： Testbeds

来源：评论

学校读者我要写书评

暂无评论

Contrastive Conditional Adversarial Autoencoder with Class-specific Forces for Imbalanced Open-set Fault Detection

引用

IEEE Transactions on Automation science and engineering 2025年 22卷 15757-15767页

作者： Zuo, Zhonglin Meng, Tao Li, Zheng Zhang, Hao Liu, Tong Chen, Zhansheng Pang, Zhibo Zhejiang University College of Control Science and Engineering Hangzhou310027 China Zhejiang University School of Aeronautics and Astronautics Hangzhou310027 China Hainan Institute of Zhejiang University Sanya572025 China Chongqing University School of Automation Chongqing400044 China University of Sheffield Department of Computer Science SheffieldS1 4DP United Kingdom Shanghai Aerospace Space Technology Co. Ltd Shanghai201109 China ABB Corporate Research Sweden Department of Automation Technology Vasteras Sweden KTH Royal Institute of Technology Department of Intelligent Systems Stockholm Sweden

In real-world industrial scenarios, fault detection faces the widely recognized challenge of data imbalance, which not only refers to the scarcity of fault data but also includes the imbalance in healthy data. This article is concerned with imbalanced open-set fault detection (IOSFD), a practical yet challenging scenario in industrial applications where multiple healthy operating conditions and multiple fault types are imbalanced. In this article, we propose a new contrastive conditional adversarial autoencoder for IOSFD. It constructs an end-to-end unified model based on multi-class known healthy and faulty data to address the reliance of traditional methods on fault samples, while optimizing with class-specific weighted forces to ensure equal attention to imbalanced known classes. Input and feature reconstruction conditioned on operating modes are utilized to learn a compact decision plane and achieve both unknown fault detection and known data classification. Significantly, we formulate the optimization objective of conditional reconstruction based on contrastive learning and introduce adversarial training to further enhance the model’s performance. The effectiveness of the proposed method is validated through real-world pipeline leak detection and Tennessee-Eastman multi-fault detection. © 2004-2012 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Increased dependence on mycorrhizal fungi for nutrient acquisition under carbon limitation by tree girdling

引用

Plant Diversity 2025年第3期47卷 466-478页

作者： Chen, Jing Cao, Jingjing Guo, Binglin Han, Meixu Feng, Zhipei Tang, Jinqi Mo, Xiaohan Wang, Junjian Yang, Qingpei Pei, Yuxin Kuzyakov, Yakov Ding, Junxiang Makita, Naoki Yang, Xitian Zhang, Haiyang Zhao, Yong Kong, Deliang College of Forestry Henan Agricultural University Zhengzhou 450002 China College of Horticulture China Agricultural University Beijing 100193 China School of Urban Planning and Design Peking University Shenzhen Graduate School Peking University Shenzhen 518055 China State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Department of Soil Science of Temperate Ecosystem University of Göttingen Göttingen 37077 Germany Peoples Friendship University of Russia (RUDN University) Moscow 117198 Russian Federation College of Ecology and Environment Zhengzhou University Zhengzhou 450001 China Faculty of Science Shinshu University 3-1-1 Asahi Nagano Matsumoto 390-8621 Japan Hawkesbury Institute for the Environment Western Sydney University Penrith 2751 NSW Australia College of Life Science Hebei University Baoding 071002 China

Nutrient acquisition through symbiotic ectomycorrhizal fungi is carbon (C) costly but fundamental for plant growth, community, and ecosystem functioning. Here, we examined the functions of roots and mycorrhiza with respect to nutrient uptake after artificially inducing C limitation-seven months after girdling of an ectomycorrhizal tree, Pinus taeda. Root physiological activity (measured as root nitrogen content and root exudation) declined after girdling and was accompanied with 110% and 340% increases in mycorrhizal colonization and extramatrical hyphal length, respectively. Fungi colonizing roots switched to a community characterized by higher C efficiency (lower C cost) of nutrient acquisition (CENA, the amount of nutrient acquisition per unit C cost) and lower network complexity, indicating a tradeoff between CENA and stability of the fungal community. Root transcriptome analysis suggested a shift in metabolic pathways from a tricarboxylic acid cycle decomposition of carbohydrate to lipid biosynthesis to maintain closer associations with mycorrhiza for nutrient cycling after the girdling. By integrating multi-level evidence, including root transcriptome, fungal composition, and network complexity data, we demonstrate an increased dependence on mycorrhiza for nutrient acquisition under the C limitation condition, which is likely due to a shift to fungal community with higher CENA at the cost of lower stability. © 2025 Kunming Institute of Botany, Chinese Academy of sciences

关键词： Carbon limitation Fungal network complexity Girdling effects Mycorrhizal and root strategies Plant–microbiome interaction Root transcriptome

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：