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  1. Article: Nanotechnological advances in cancer: therapy a comprehensive review of carbon nanotube applications.

    Gao, Siyang / Xu, Binhan / Sun, Jianwei / Zhang, Zhihui

    Frontiers in bioengineering and biotechnology

    2024  Volume 12, Page(s) 1351787

    Abstract: Nanotechnology is revolutionising different areas from manufacturing to therapeutics in the health field. Carbon nanotubes (CNTs), a promising drug candidate in nanomedicine, have attracted attention due to their excellent and unique mechanical, ... ...

    Abstract Nanotechnology is revolutionising different areas from manufacturing to therapeutics in the health field. Carbon nanotubes (CNTs), a promising drug candidate in nanomedicine, have attracted attention due to their excellent and unique mechanical, electronic, and physicochemical properties. This emerging nanomaterial has attracted a wide range of scientific interest in the last decade. Carbon nanotubes have many potential applications in cancer therapy, such as imaging, drug delivery, and combination therapy. Carbon nanotubes can be used as carriers for drug delivery systems by carrying anticancer drugs and enabling targeted release to improve therapeutic efficacy and reduce adverse effects on healthy tissues. In addition, carbon nanotubes can be combined with other therapeutic approaches, such as photothermal and photodynamic therapies, to work synergistically to destroy cancer cells. Carbon nanotubes have great potential as promising nanomaterials in the field of nanomedicine, offering new opportunities and properties for future cancer treatments. In this paper, the main focus is on the application of carbon nanotubes in cancer diagnostics, targeted therapies, and toxicity evaluation of carbon nanotubes at the biological level to ensure the safety and real-life and clinical applications of carbon nanotubes.
    Language English
    Publishing date 2024-03-06
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2024.1351787
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: Convergence Rate Analysis for Optimal Computing Budget Allocation Algorithms

    Li, Yanwen / Gao, Siyang

    2022  

    Abstract: Ordinal optimization (OO) is a widely-studied technique for optimizing discrete-event dynamic systems (DEDS). It evaluates the performance of the system designs in a finite set by sampling and aims to correctly make ordinal comparison of the designs. A ... ...

    Abstract Ordinal optimization (OO) is a widely-studied technique for optimizing discrete-event dynamic systems (DEDS). It evaluates the performance of the system designs in a finite set by sampling and aims to correctly make ordinal comparison of the designs. A well-known method in OO is the optimal computing budget allocation (OCBA). It builds the optimality conditions for the number of samples allocated to each design, and the sample allocation that satisfies the optimality conditions is shown to asymptotically maximize the probability of correct selection for the best design. In this paper, we investigate two popular OCBA algorithms. With known variances for samples of each design, we characterize their convergence rates with respect to different performance measures. We first demonstrate that the two OCBA algorithms achieve the optimal convergence rate under measures of probability of correct selection and expected opportunity cost. It fills the void of convergence analysis for OCBA algorithms. Next, we extend our analysis to the measure of cumulative regret, a main measure studied in the field of machine learning. We show that with minor modification, the two OCBA algorithms can reach the optimal convergence rate under cumulative regret. It indicates the potential of broader use of algorithms designed based on the OCBA optimality conditions.
    Keywords Statistics - Machine Learning ; Computer Science - Machine Learning ; Mathematics - Optimization and Control
    Subject code 519
    Publishing date 2022-11-26
    Publishing country us
    Document type Book ; Online
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  3. Book ; Online: On the Finite-Time Performance of the Knowledge Gradient Algorithm

    Li, Yanwen / Gao, Siyang

    2022  

    Abstract: The knowledge gradient (KG) algorithm is a popular and effective algorithm for the best arm identification (BAI) problem. Due to the complex calculation of KG, theoretical analysis of this algorithm is difficult, and existing results are mostly about the ...

    Abstract The knowledge gradient (KG) algorithm is a popular and effective algorithm for the best arm identification (BAI) problem. Due to the complex calculation of KG, theoretical analysis of this algorithm is difficult, and existing results are mostly about the asymptotic performance of it, e.g., consistency, asymptotic sample allocation, etc. In this research, we present new theoretical results about the finite-time performance of the KG algorithm. Under independent and normally distributed rewards, we derive bounds for the sample allocation of the algorithm. With these bounds, existing asymptotic results become simple corollaries. Furthermore, we derive upper and lower bounds for the probability of error and simple regret of the algorithm, and show the performance of the algorithm for the multi-armed bandit (MAB) problem. These developments not only extend the existing analysis of the KG algorithm, but can also be used to analyze other improvement-based algorithms. Last, we use numerical experiments to compare the bounds we derive and the performance of the KG algorithm.

    Comment: require a further check of the proofs (Sections A.7, A.8) to ensure correctness
    Keywords Statistics - Machine Learning ; Computer Science - Machine Learning
    Subject code 518
    Publishing date 2022-06-14
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Ethylene promotes ester biosynthesis through PuERF13/PuDof2.5 synergically activated PuAAT1 during ripening of cold-stored ‘Nanguo’ pear

    Li, Xinyue / Gao, Siyang / Yang, Liu / Yin, Mingxin / Li, Jiaxin / Zhang, He / Ji, Shujuan

    Postharvest biology and technology. 2023 Jan., v. 195

    2023  

    Abstract: Aroma is an important trait of ‘Nanguo’ pear (Pyrus ussuriensis Maxim.), and esters are the main aroma components in the fruit. Refrigeration prolongs the storage period of the fruit but results in evident loss of esters. Here, we treated the ... ...

    Abstract Aroma is an important trait of ‘Nanguo’ pear (Pyrus ussuriensis Maxim.), and esters are the main aroma components in the fruit. Refrigeration prolongs the storage period of the fruit but results in evident loss of esters. Here, we treated the refrigerated fruit with 1000 μL L⁻¹ Ethephon solution and found that exogenous ethylene treatment raised the biosynthesis of ten individual esters, and up-regulated the expression of PuAAT1, PuERF13 and PuDof2.5 genes of cold-stored pears. PuDof2.5 activated the transcription of PuAAT1 by binding to its promoter. Moreover, PuERF13 interacted with PuDof2.5, which caused an increase in ester biosynthesis of cold-stored ‘Nanguo’ pear treated with exogenous ethylene. Our findings indicate that ethylene promotes ester production through activation of main gene, PuAAT1, regulated by PuERF13 and PuDof2.5.
    Keywords Pyrus ussuriensis ; biosynthesis ; cold storage ; ethephon ; ethylene ; fruits ; genes ; odors ; pears ; refrigeration ; storage time
    Language English
    Dates of publication 2023-01
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 1082798-5
    ISSN 1873-2356 ; 0925-5214
    ISSN (online) 1873-2356
    ISSN 0925-5214
    DOI 10.1016/j.postharvbio.2022.112108
    Database NAL-Catalogue (AGRICOLA)

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    Z 5311: Show issues

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  5. Book ; Online: Evaluating Factual Consistency of Summaries with Large Language Models

    Chen, Shiqi / Gao, Siyang / He, Junxian

    2023  

    Abstract: Detecting factual errors in summaries has been an important and challenging subject in summarization research. Inspired by the emergent ability of large language models (LLMs), we explore evaluating factual consistency of summaries by directly prompting ... ...

    Abstract Detecting factual errors in summaries has been an important and challenging subject in summarization research. Inspired by the emergent ability of large language models (LLMs), we explore evaluating factual consistency of summaries by directly prompting LLMs. We present a comprehensive empirical study to assess the ability of LLMs as factual consistency evaluators, which consists of (1) analyzing different LLMs such as the GPT model series and Flan-T5; (2) investigating a variety of prompting methods including vanilla prompting, chain-of-thought prompting, and a sentence-by-sentence prompting method to tackle long summaries; and (3) evaluating on diverse summaries generated by multiple summarization systems, ranging from pre-transformer methods to SOTA pretrained models. Our experiments demonstrate that prompting LLMs is able to outperform the previous best factuality systems in all settings, by up to 12.2 absolute points in terms of the binary classification accuracy on inconsistency detection.
    Keywords Computer Science - Computation and Language
    Subject code 410
    Publishing date 2023-05-23
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Study on the Tribological Behavior and the Interaction between Friction and Oxidation of Graphite Reinforced by Impregnated Phosphate at High Temperatures.

    Cheng, Hao / Gao, Siyang / Duan, Deli / Yang, Shuai / Xue, Weihai / Wu, Bi / Zhu, Zhenguo

    Materials (Basel, Switzerland)

    2023  Volume 16, Issue 9

    Abstract: The stability of the graphite seal device is a key factor for the normal operation of aero engines. However, conventional graphite exhibits poor comprehensive performance due to its porous structure, which limits its application at high temperatures. ... ...

    Abstract The stability of the graphite seal device is a key factor for the normal operation of aero engines. However, conventional graphite exhibits poor comprehensive performance due to its porous structure, which limits its application at high temperatures. Therefore, in this paper, phosphate was used to impregnated graphite pores, and the interaction between the friction, wear, and oxidation of phosphate-impregnated graphite against superalloy at high temperatures was studied through pin-on-disk friction tests. The results revealed that the coefficient of friction (COF) of matrix graphite fluctuated greatly, from 0.07 to 0.17, in the range of 100 °C to 500 °C, while the COF of impregnated graphite was stable, at around 0.13, from 100 °C to 500 °C. The wear rates of the two types of graphite were close from 20 °C to 300 °C, while the wear rate of the impregnated graphite was significantly lower than that of the matrix graphite at higher temperatures, from 400 °C and 500 °C. The reason was that the impregnated phosphate reacted with graphite at a high temperature, forming the inert site which helped to inhibit the oxidation and maintain the mechanical properties of the impregnated graphite at high temperatures. In addition, the impregnated graphite could maintain better integrity of the contact surface and reduce the inclusion of large hard metal oxides, thus effectively reducing the abrasive wear of the disk. Therefore, the wear depth of the superalloy disk samples with impregnated graphite was significantly lower than that of the matrix graphite. The results promote the application of phosphate-impregnated graphite under the high temperature conditions of aero engines.
    Language English
    Publishing date 2023-05-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma16093517
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  7. Book ; Online: Asymptotic Optimality of Myopic Ranking and Selection Procedures

    Li, Yanwen / Gao, Siyang / Shi, Zhongshun

    2022  

    Abstract: Ranking and selection (R&S) is a popular model for studying discrete-event dynamic systems. It aims to select the best design (the design with the largest mean performance) from a finite set, where the mean of each design is unknown and has to be learned ...

    Abstract Ranking and selection (R&S) is a popular model for studying discrete-event dynamic systems. It aims to select the best design (the design with the largest mean performance) from a finite set, where the mean of each design is unknown and has to be learned by samples. Great research efforts have been devoted to this problem in the literature for developing procedures with superior empirical performance and showing their optimality. In these efforts, myopic procedures were popular. They select the best design using a 'naive' mechanism of iteratively and myopically improving an approximation of the objective measure. Although they are based on simple heuristics and lack theoretical support, they turned out highly effective, and often achieved competitive empirical performance compared to procedures that were proposed later and shown to be asymptotically optimal. In this paper, we theoretically analyze these myopic procedures and prove that they also satisfy the optimality conditions of R&S, just like some other popular R&S methods. It explains the good performance of myopic procedures in various numerical tests, and provides good insight into the structure and theoretical development of efficient R&S procedures.
    Keywords Statistics - Machine Learning ; Computer Science - Machine Learning ; Mathematics - Optimization and Control
    Subject code 670
    Publishing date 2022-11-26
    Publishing country us
    Document type Book ; Online
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  8. Article: Ca

    Zhang, He / Gao, Siyang / Wang, Tianye / Xu, Mingyang / Li, Xinyue / Du, Guodong

    Frontiers in plant science

    2022  Volume 13, Page(s) 976977

    Abstract: Stone cells are sclerenchyma cells formed by deposition of lignin, which is the most significant factor limiting the quality of pears. ... ...

    Abstract Stone cells are sclerenchyma cells formed by deposition of lignin, which is the most significant factor limiting the quality of pears. Ca
    Language English
    Publishing date 2022-08-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2613694-6
    ISSN 1664-462X
    ISSN 1664-462X
    DOI 10.3389/fpls.2022.976977
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  9. Article ; Online: Transcription factors PuPRE6/PuMYB12 and histone deacetylase PuHDAC9-like regulate sucrose levels in pear.

    Gao, Siyang / Yin, Mingxin / Xu, Mingyang / Zhang, He / Li, Shuai / Han, Yinxiao / Ji, Shujuan / Li, Xinyue / Du, Guodong

    Plant physiology

    2023  Volume 194, Issue 3, Page(s) 1577–1592

    Abstract: The improvement of fruit quality, in particular sugar content, has been a major goal of plant breeding programmes for many years. Here, 2 varieties of the Ussurian pear (Pyrus ussuriensis), Nanguo, and its high-sucrose accumulation bud sport, Nanhong, ... ...

    Abstract The improvement of fruit quality, in particular sugar content, has been a major goal of plant breeding programmes for many years. Here, 2 varieties of the Ussurian pear (Pyrus ussuriensis), Nanguo, and its high-sucrose accumulation bud sport, Nanhong, were used to study the molecular mechanisms regulating sucrose transport in fruits. Comparative transcriptome analysis showed that in Nanhong fruit, an MYB transcription factor, PuMYB12, and a sucrose transporter protein, PuSUT4-like, were expressed at higher levels, while a paclobutrazol resistance transcription factor, PuPRE6, and a histone deacetylase (HDAC), PuHDAC9-like, were expressed at lower levels in Nanguo fruit. PuSUT4-like silencing and overexpression experiments in Nanguo pear showed that PuSUT4-like is essential for sucrose transportation. PuPRE6 and PuMYB12 act as antagonistic complexes to regulate PuSUT4-like transcription and sucrose accumulation. The histone deacetylation levels of the PuMYB12 and PuSUT4-like promoters were higher in Nanguo fruit than in Nanhong fruit, and Y1H assays showed that HDAC PuHDAC9-like bound directly to the promoters of PuMYB12 and PuSUT4-like. Our results uncovered transcription regulation and epigenetic mechanisms underlying sucrose accumulation in pears.
    MeSH term(s) Transcription Factors ; Pyrus/genetics ; Plant Breeding ; Histone Deacetylases/genetics ; Sucrose
    Chemical Substances Transcription Factors ; Histone Deacetylases (EC 3.5.1.98) ; Sucrose (57-50-1)
    Language English
    Publishing date 2023-11-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208914-2
    ISSN 1532-2548 ; 0032-0889
    ISSN (online) 1532-2548
    ISSN 0032-0889
    DOI 10.1093/plphys/kiad628
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Z 1193: Show issues

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  10. Article: Research on the Design Method of a Bionic Suspension Workpiece Based on the Wing Structure of an Albatross.

    Gao, Siyang / Zhang, Bangcheng / Sun, Jianwei

    Applied bionics and biomechanics

    2019  Volume 2019, Page(s) 2539410

    Abstract: An air suspension platform uses air pressure to realize the suspension function during the suspension process, and it has the disadvantage of large air pressure and a small suspension force. In this study, an air suspension platform was built using ... ...

    Abstract An air suspension platform uses air pressure to realize the suspension function during the suspension process, and it has the disadvantage of large air pressure and a small suspension force. In this study, an air suspension platform was built using bionic design to reduce the required air pressure and increase the suspension force. A suspension structure mapping model was established according to the physiological structure characteristics of albatross wings. A bionic model was established by using the theoretical calculation formula and structural size parameters of the structural design. A 3D printer was used to manufacture the physical prototype of the suspended workpiece. Based on this, a suspension test rig was built. Six sets of contrast experiments were designed. The experimental results of the suspension test bench were compared with the theoretical calculation results. The results show that the buoyancy of the suspended workpiece with a V-shaped surface at a 15-degree attack angle was optimal for the same air pressure as the other workpieces. The surface structure of the suspended workpiece was applied to the air static pressure guide rail. By comparing the experimental data, the air pressure of the original air suspension guide rail was reduced by 37%, and the validity of the theory and design method was verified.
    Language English
    Publishing date 2019-02-03
    Publishing country Egypt
    Document type Journal Article
    ZDB-ID 2179924-6
    ISSN 1754-2103 ; 1176-2322
    ISSN (online) 1754-2103
    ISSN 1176-2322
    DOI 10.1155/2019/2539410
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