556 research outputs found
Molecular cloning and function analysis of FAD2 gene in Idesia polycarpa
No full textFan, Ruishen, Li, Long, Cai, Gui, Ye, Jing, Liu, Minhao, Wang, Shuhui, Li, Zhouqi (2019): Molecular cloning and function analysis of FAD2 gene in Idesia polycarpa. Phytochemistry 168: 1-10, DOI: 10.1016/j.phytochem.2019.112114, URL: http://dx.doi.org/10.1016/j.phytochem.2019.11211
Supplemental Material - De Ritis Ratio is Associated with Contrast-Associated Acute Kidney Injury Prediction and Long-Term Clinical Outcomes in Patients Undergoing Emergency Percutaneous Coronary Intervention
No full textSupplemental Material for De Ritis Ratio is Associated with Contrast-Associated Acute Kidney Injury Prediction and Long-Term Clinical Outcomes in Patients Undergoing Emergency Percutaneous Coronary Intervention by Wenkang Zhang, Mingkang Li, Xu Huang, Minhao Zhang, Gaoliang Yan, and Chengchun Tang in Angiology</p
Probing carbon-based composite coatings toward high vacuum lubrication application
No full textFor challenges in minimizing friction and wear of spatial mechanical systems, synergetic lubrication coatings were prepared by spinning liquid lubricants and hybrid greases on the diamond-like carbon (DLC) films, and were evaluated whether they could achieve a long-term safe and reliable operation under high vacuum. Under high vacuum conditions, liquid lubricants significantly reduce the friction and wear of DLC films. Hybrid greases not only show excellent lubrication performance, but also greatly enhance the tribological behavior of DLC films, especially the grease with optimal proportion. Such excellent tribological performance of DLC-based composite coatings at low applied loads depends on the synergy of DLC and fluid film, in reverse the tribo-chemical reaction film under harsh working conditions
Probing carbon-based composite coatings toward high vacuum lubrication application
No full textFor challenges in minimizing friction and wear of spatial mechanical systems, synergetic lubrication coatings were prepared by spinning liquid lubricants and hybrid greases on the diamond-like carbon (DLC) films, and were evaluated whether they could achieve a long-term safe and reliable operation under high vacuum. Under high vacuum conditions, liquid lubricants significantly reduce the friction and wear of DLC films. Hybrid greases not only show excellent lubrication performance, but also greatly enhance the tribological behavior of DLC films, especially the grease with optimal proportion. Such excellent tribological performance of DLC-based composite coatings at low applied loads depends on the synergy of DLC and fluid film, in reverse the tribo-chemical reaction film under harsh working conditions
Supplemental_table_1and2 - Aberrant DNA Methylation of IGF2-H19 Locus in Human Fetus and in Spermatozoa From Assisted Reproductive Technologies
No full textSupplemental_table_1and2 for Aberrant DNA Methylation of IGF2-H19 Locus in Human Fetus and in Spermatozoa From Assisted Reproductive Technologies by Hangying Lou, Fang Le, Minhao Hu, Xinyun Yang, Lejun Li, Liya Wang, Ning Wang, Huijuan Gao, and Fan Jin in Reproductive Sciences</p
Space irradiation-induced damage to graphene films
No full textGraphene with impressive electrical, optical, chemical and mechanical properties has promising potential applications for photoelectric devices and mechanical components installed on the space facilities, which will probably face hostile environments including high-energy particulate irradiation. Here we explored the effect of simulated space irradiation on the structure and properties of large-area single-layer and multi-layer graphene films (about four layers) including atomic oxygen (AO), electron (EL) and proton (PR). AO with strong oxidizing capacity reacts with carbon atoms of graphene films and generates carbon dioxide, high-energy PR leads to polymorphic atomic defects in graphene through collision and excitation effects. Miraculously, EL irradiation causes little damage to the graphene films because of the excellent conductivity. Graphene ripples are broken by irradiation and adapt their shape or structure with respect to the substrate via thermodynamic stability, which causes the change of the physical and mechanical properties of graphene
Probing the Function of Solid Nanoparticle Structure under Boundary Lubrication
No full textUnderstanding the fundamental function of solid nanoparticle structure on boundary lubrication is of great significance. Here we prepared a series of solid naoparticles including lamellar carbon and molybdenum disulfide (MoS2), spherical MoS2 and carbon, graphene-like C-MoS2 composite, and graphene quantum dots (GQDs), and investigated their tribological properties and mechanism under boundary lubrication in detail. The experimental characterization and analysis found that the spherical nanoparticles can reduce friction and wear by 40% and 80%, depending on the "third body" composed of these nanoparticles and the friction induced nano-onion debris in the contact area and an easily shearing film formed by the exfoliated nanoslices on the sliding surfaces. Smaller nanosize GQDs allow the friction and wear to be reduced by up to 60% and 91%, which is attributed to the synergistic effect of a densely protective film on the sliding surfaces and the graphene-like debris in the contact area
Yi li yu fo jiao yan jiu /
No full text"Ben shu zuo zhe zai ben shu zhong dui "Sichou zhi lu" yan xian ji "Dunhuang" xie ben zhong you guan "Fo jiao yi dian" de wen ben zuo le yu yi wang bu tong qu jing de yan jiu. Dui "Fojiao yi li" de li shi chuan cheng gui ji, yong bu tong xue ke de li lun, fang fa jin xing le kua xue ke, kua wen hua de tan tao. Zuo zhe ju ti kao cha le "Duhuang wen xian" Zhong yong yu liao zhi bing ren de xie ben "Huan wen", tong guo dui "Huan wen" de wen shi, wen ti, cuo ci he shi shi chang suo yi ji can yu zhe deng wen xian zi liao de xiang xi fen xi, shu li chu "ben tu hua yi li" zhong guan chuan de "Fojiao ji ben guan nian" ji "yi li luo ji" he "yi li jie gou"."Includes bibliographical references (pages 148-171)
Advancing Model Security, Data Privacy, and Performance for Widespread Adoption of Trustworthy Artificial Intelligence
No full textAs artificial intelligence (AI) becomes increasingly integrated into daily life, concerns aboutprivacy and security have escalated. In this work, we study privacy through Federated Learning(FL), learning from multiple datasets without exchanging raw data, and Differential Privacy(DP), a mathematical guarantee of data privacy for statistical databases. We also addresssecurity by developing defenses against backdoor attacks, where an adversary manipulates thetraining data to embed a hidden, harmful behavior in resulting models, which become criticalas publicly available large datasets become more popular. First, in Chapter 1, we introduce Trusted Aggregation (TAG), a defense mechanism againstbackdoor attacks in FL that filters out malicious updates to shared models that contain backdoorattacks. TAG enables robust model training even in the presence of many malicious participants,ensuring security without compromising performance. In Chapter 2, we propose FedDecay,which employs within-round learning rate decay to improve FL performance for heterogeneousdatasets, achieving benefits comparable to more computationally expensive personalized models.Together, these contribute to FL’s reliability by strengthening its security and performance. Next, in Chapter 3, we explore Differential Privacy in the context of Generative AdversarialNetworks (GANs), addressing key challenges such as computational overhead and performancedegradation in privacy-preserving generative models. Our work demonstrates that the Lipschitzconstraint in Wasserstein GANs naturally limits per-sample gradients, facilitating efficient batchcomputation under DP constraints. Additionally, we modify an orthogonalization algorithmfor noisy inputs, yielding an unbiased estimator to improve projection in the presence of DP’sadditive noise. While qualitative outputs for downstream tasks remain an area for furtherrefinement, our findings lay the foundation for more efficient privacy-preserving GAN training. Finally, Chapter 4 addresses data poisoning in prototype-based architectures, introducing anovel detection and defense mechanism for backdoor attacks. We develop methods for detectingmalicious training data and visualizing backdoor triggers by analyzing similarity scores withlearned prototypes. Our approach leverages bi-clustering to separate data into benign andmalicious partitions. Using poisoned data to purify backdoor behavior produces a more robustdefense. Furthermore, our proposals perform well even when limited data is available and witherrors in detection for partitioning. Our research contributes to developing trustworthy AI systems by enhancing privacy inFederated Learning and Differential Privacy while strengthening security through defensesagainst data poisoning in adversarial machine learning.Doctor of Philosoph
Bracelet+: Harvesting the Leaked RF Energy in VLC with Wearable Bracelet Antenna
No full textVisible Light Communication (VLC) is widely considered a promising technology for the coming 6G networks. Recent studies show that a VLC transmitter not only emits visible light signals but also leaks RF signals during the transmission. In this work, we devote effort to harvesting the free leaked RF energy from VLC transmissions. We observe that the surrounding objects could help a coil antenna harvest significantly more RF energy. Based on this observation, we propose our system Bracelet+, which involves the human body in the harvesting system to increase the harvested power. After careful analysis of the influence of the human body on the harvested power, we prototype the coil antenna as a bracelet that achieves both high harvested power and convenience for wearing. The average power of the RF energy harvested by our design is 10 larger than that of the conventional coil antenna, without causing any interference to the communication of VLC systems. The harvested power can reach up to micro-watts in our tested scenarios. Such a micro-watt level of harvested energy has the potential to power up ultra-low-power sensors such as temperature sensors and glucose sensors.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Embedded System
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