LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 19

Search options

  1. Article ; Online: Fast prototype selection algorithm based on adjacent neighbourhood and boundary approximation

    Juan Li / Cai Dai

    Scientific Reports, Vol 12, Iss 1, Pp 1-

    2022  Volume 15

    Abstract: Abstract The unceasing increase of data quantity severely limits the wide application of mature classification algorithms due to the unacceptable execution time and the insufficient memory. How to fast incrementally obtain high decision reference set and ...

    Abstract Abstract The unceasing increase of data quantity severely limits the wide application of mature classification algorithms due to the unacceptable execution time and the insufficient memory. How to fast incrementally obtain high decision reference set and adapt to incremental data environment is urgently needed in incremental environments, large dataset, etc. This paper proposes a novel prototype selection algorithm by integrating the strategies between condensing method and editing method. To an unlearned pattern, this algorithm extends the references scope from its single nearest neighbour to its k nearest neighbourhood that can expand the judgment information to obtain its detailed neighbour relationship. Then a pattern was determined whether it is a prototype using its neighbour relationship and classification boundary asymptotically strategy. To maintain the higher reference set, this algorithm periodically updates those prototypes that locates in the non-boundary zone or is long-time unlearned. The empirical study shows that this algorithm obtains the smaller and higher boundary prototypes without decreasing classification accuracy and reduction rate than the compared algorithms.
    Keywords Medicine ; R ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  2. Article ; Online: A Two-Archive Many-Objective Optimization Algorithm Based on D-Domination and Decomposition

    Na Ye / Cai Dai / Xingsi Xue

    Algorithms, Vol 15, Iss 392, p

    2022  Volume 392

    Abstract: Decomposition-based evolutionary algorithms are popular with solving multi-objective optimization problems. It uses weight vectors and aggregate functions to keep the convergence and diversity. However, it is hard to balance diversity and convergence in ... ...

    Abstract Decomposition-based evolutionary algorithms are popular with solving multi-objective optimization problems. It uses weight vectors and aggregate functions to keep the convergence and diversity. However, it is hard to balance diversity and convergence in high-dimensional objective space. In order to discriminate solutions and equilibrate the convergence and diversity in high-dimensional objective space, a two-archive many-objective optimization algorithm based on D-dominance and decomposition (Two Arch-D) is proposed. In Two Arch-D, the method of D-dominance and adaptive strategy adjusting parameter are used to apply selection pressure on the population to identify better solutions. Then, it uses the two archives’ strategy to equilibrate convergence and diversity, and after classifying solutions in convergence archive, the improved Tchebycheff function is used to evaluate the solution set and retain the better solutions. For the diversity archive, the diversity is maintained by making any two solutions as far apart and different as possible. Finally, the Two Arch-D is compared with other four multi-objective evolutionary algorithms on 45 many-objective test problems (including 5, 10 and 15 objectives). Good performance of the algorithm is verified by the description and analysis of the experimental results.
    Keywords many-objective optimization ; evolutionary algorithm ; two archives ; D-dominance ; Industrial engineering. Management engineering ; T55.4-60.8 ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 006
    Language English
    Publishing date 2022-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  3. Article ; Online: A Simplified Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization

    Hong Ji / Cai Dai

    Complexity, Vol

    2020  Volume 2020

    Abstract: Evolutionary algorithms based on hypervolume have demonstrated good performance for solving many-objective optimization problems. However, hypervolume needs prohibitively expensive computational effort. This paper proposes a simplified hypervolume ... ...

    Abstract Evolutionary algorithms based on hypervolume have demonstrated good performance for solving many-objective optimization problems. However, hypervolume needs prohibitively expensive computational effort. This paper proposes a simplified hypervolume calculation method which can be used to roughly evaluate the convergence and diversity of solutions. The main idea is to use the nearest neighbors of a particular solution to calculate the volume as the solution’s hypervolume value. Moreover, this paper improves the selection operator and the update strategy of external population according to the simplified hypervolume. Then, the proposed algorithm (SHEA) is compared with some state-of-the-art algorithms on fifteen test functions of CEC2018 MaOP competition, and the experimental results prove the feasibility of the proposed algorithm.
    Keywords Electronic computers. Computer science ; QA75.5-76.95
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Hindawi-Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  4. Article ; Online: A Multiobjective Brain Storm Optimization Algorithm Based on Decomposition

    Cai Dai / Xiujuan Lei

    Complexity, Vol

    2019  Volume 2019

    Abstract: Brain storm optimization (BSO) algorithm is a simple and effective evolutionary algorithm. Some multiobjective brain storm optimization algorithms have low search efficiency. This paper combines the decomposition technology and multiobjective brain storm ...

    Abstract Brain storm optimization (BSO) algorithm is a simple and effective evolutionary algorithm. Some multiobjective brain storm optimization algorithms have low search efficiency. This paper combines the decomposition technology and multiobjective brain storm optimization algorithm (MBSO/D) to improve the search efficiency. Given weight vectors transform a multiobjective optimization problem into a series of subproblems. The decomposition technology determines the neighboring clusters of each cluster. Solutions of adjacent clusters generate new solutions to update population. An adaptive selection strategy is used to balance exploration and exploitation. Besides, MBSO/D compares with three efficient state-of-the-art algorithms, e.g., NSGAII and MOEA/D, on twenty-two test problems. The experimental results show that MBSO/D is more efficient than compared algorithms and can improve the search efficiency for most test problems.
    Keywords Electronic computers. Computer science ; QA75.5-76.95
    Subject code 006
    Language English
    Publishing date 2019-01-01T00:00:00Z
    Publisher Hindawi-Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  5. Article ; Online: A Decomposition-Based Multiobjective Evolutionary Algorithm with Adaptive Weight Adjustment

    Cai Dai / Xiujuan Lei

    Complexity, Vol

    2018  Volume 2018

    Abstract: Recently, decomposition-based multiobjective evolutionary algorithms have good performances in the field of multiobjective optimization problems (MOPs) and have been paid attention by many scholars. Generally, a MOP is decomposed into a number of ... ...

    Abstract Recently, decomposition-based multiobjective evolutionary algorithms have good performances in the field of multiobjective optimization problems (MOPs) and have been paid attention by many scholars. Generally, a MOP is decomposed into a number of subproblems through a set of weight vectors with good uniformly and aggregate functions. The main role of weight vectors is to ensure the diversity and convergence of obtained solutions. However, these algorithms with uniformity of weight vectors cannot obtain a set of solutions with good diversity on some MOPs with complex Pareto optimal fronts (PFs) (i.e., PFs with a sharp peak or low tail or discontinuous PFs). To deal with this problem, an improved decomposition-based multiobjective evolutionary algorithm with adaptive weight adjustment (IMOEA/DA) is proposed. Firstly, a new method based on uniform design and crowding distance is used to generate a set of weight vectors with good uniformly. Secondly, according to the distances of obtained nondominated solutions, an adaptive weight vector adjustment strategy is proposed to redistribute the weight vectors of subobjective spaces. Thirdly, a selection strategy is used to help each subobjective space to obtain a nondominated solution (if have). Comparing with six efficient state-of-the-art algorithms, for example, NSGAII, MOEA/D, MOEA/D-AWA, EMOSA, RVEA, and KnEA on some benchmark functions, the proposed algorithm is able to find a set of solutions with better diversity and convergence.
    Keywords Electronic computers. Computer science ; QA75.5-76.95
    Subject code 006
    Language English
    Publishing date 2018-01-01T00:00:00Z
    Publisher Hindawi-Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  6. Article ; Online: Dinuclear phosphorescent rhenium(I) complexes as potential anticancer and photodynamic therapy agents.

    Pan, Zheng-Yin / Cai, Dai-Hong / He, Liang

    Dalton transactions (Cambridge, England : 2003)

    2020  Volume 49, Issue 33, Page(s) 11583–11590

    Abstract: Chemotherapeutic agents that affect lysosomal functions represent a promising strategy for selective tumor therapy and overcoming drug resistance. In this work, two dinuclear phosphorescent rhenium(i) tricarbonyl complexes (DRe1 and DRe2) containing ... ...

    Abstract Chemotherapeutic agents that affect lysosomal functions represent a promising strategy for selective tumor therapy and overcoming drug resistance. In this work, two dinuclear phosphorescent rhenium(i) tricarbonyl complexes (DRe1 and DRe2) containing carboline derivatives have been synthesized, characterized and explored as potential chemotherapeutic and photodynamic therapy agents. The two dinuclear rhenium(i) complexes have good intrinsic phosphorescence properties and can label the lysosomes in cancer cells. Both dinuclear rhenium(i) complexes show potent anticancer activities toward several tested cancer cells. Moreover, they also have marked inhibitory activities against cisplatin-resistant human lung carcinoma cells (A549R), with complex DRe2 displaying 16-fold higher activity than cisplatin. Mechanism studies reveal that complex DRe2 can induce cancer cells to overproduce reactive oxygen species (ROS), including superoxide anion radicals, which leads to lysosomal membrane permeabilization (LMP) and subsequent cell apoptosis. Additionally, both DRe1 and DRe2 display significant phototoxicity under light (425 nm) irradiation in A549 cells, with phototoxicity index values of 60.8 and 41.8, respectively. Therefore, these two dinuclear organometallic rhenium(i) tricarbonyl complexes are potential anticancer agents for combined chemo-photodynamic therapy.
    MeSH term(s) A549 Cells ; Antineoplastic Agents/chemical synthesis ; Antineoplastic Agents/pharmacology ; Apoptosis/drug effects ; Carbolines/chemistry ; Cell Membrane Permeability ; Cell Proliferation/drug effects ; Cisplatin/pharmacology ; Coordination Complexes/chemical synthesis ; Coordination Complexes/pharmacology ; Drug Discovery ; HeLa Cells ; Humans ; Ligands ; Luminescent Agents/chemical synthesis ; Luminescent Agents/pharmacology ; Lysosomes/metabolism ; Photochemotherapy ; Photosensitizing Agents/chemical synthesis ; Photosensitizing Agents/pharmacology ; Reactive Oxygen Species/metabolism ; Rhenium/chemistry ; Structure-Activity Relationship
    Chemical Substances Antineoplastic Agents ; Carbolines ; Coordination Complexes ; Ligands ; Luminescent Agents ; Photosensitizing Agents ; Reactive Oxygen Species ; Rhenium (7440-15-5) ; Cisplatin (Q20Q21Q62J)
    Language English
    Publishing date 2020-07-16
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472887-4
    ISSN 1477-9234 ; 1364-5447 ; 0300-9246 ; 1477-9226
    ISSN (online) 1477-9234 ; 1364-5447
    ISSN 0300-9246 ; 1477-9226
    DOI 10.1039/d0dt02424d
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: Synthesis, structural studies, interaction with DNA/HSA and antitumor evaluation of new Cu(II) complexes containing 2-(1

    Cai, Dai-Hong / Chen, Bai-Hua / Liu, Qi-Yan / Le, Xue-Yi / He, Liang

    Dalton transactions (Cambridge, England : 2003)

    2022  Volume 51, Issue 43, Page(s) 16574–16586

    Abstract: Copper complexes are considered as potential candidates for anticancer therapy and medical applications. In this paper, three new Cu(II) complexes, [Cu(IPY) ...

    Abstract Copper complexes are considered as potential candidates for anticancer therapy and medical applications. In this paper, three new Cu(II) complexes, [Cu(IPY)
    MeSH term(s) Humans ; Serum Albumin, Human ; Reactive Oxygen Species/metabolism ; Amino Acids ; Molecular Docking Simulation ; Hydrogen Peroxide ; Antineoplastic Agents/chemistry ; DNA/chemistry ; Copper/pharmacology ; Copper/chemistry ; Coordination Complexes/pharmacology ; Coordination Complexes/chemistry ; Crystallography, X-Ray
    Chemical Substances 2-(1H-imidazol-2-yl)pyridine ; Serum Albumin, Human (ZIF514RVZR) ; Reactive Oxygen Species ; Amino Acids ; Hydrogen Peroxide (BBX060AN9V) ; Antineoplastic Agents ; DNA (9007-49-2) ; Copper (789U1901C5) ; Coordination Complexes
    Language English
    Publishing date 2022-11-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472887-4
    ISSN 1477-9234 ; 1364-5447 ; 0300-9246 ; 1477-9226
    ISSN (online) 1477-9234 ; 1364-5447
    ISSN 0300-9246 ; 1477-9226
    DOI 10.1039/d2dt02985e
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: A novel water-soluble Cu(II) gluconate complex inhibits cancer cell growth by triggering apoptosis and ferroptosis related mechanisms.

    Cai, Dai-Hong / Liang, Bin-Fa / Chen, Bai-Hua / Liu, Qi-Yan / Pan, Zheng-Yin / Le, Xue-Yi / He, Liang

    Journal of inorganic biochemistry

    2023  Volume 246, Page(s) 112299

    Abstract: Metal copper complexes have attracted extensive attention as potential alternatives to platinum-based anticancer drugs due to their possible different modes of action. Herein, a new copper(II) gluconate complex, namely [Cu(DPQ)(Gluc)]· ... ...

    Abstract Metal copper complexes have attracted extensive attention as potential alternatives to platinum-based anticancer drugs due to their possible different modes of action. Herein, a new copper(II) gluconate complex, namely [Cu(DPQ)(Gluc)]·2H
    MeSH term(s) Humans ; Copper/chemistry ; Ferroptosis ; Hydrogen Peroxide/pharmacology ; Coordination Complexes/pharmacology ; Coordination Complexes/chemistry ; Apoptosis ; Gluconates/pharmacology ; Antineoplastic Agents/pharmacology ; Antineoplastic Agents/chemistry ; Serum Albumin, Human ; DNA/chemistry ; Cell Line, Tumor ; Neoplasms
    Chemical Substances Copper (789U1901C5) ; gluconic acid (R4R8J0Q44B) ; Hydrogen Peroxide (BBX060AN9V) ; Coordination Complexes ; Gluconates ; Antineoplastic Agents ; Serum Albumin, Human (ZIF514RVZR) ; DNA (9007-49-2)
    Language English
    Publishing date 2023-06-17
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 162843-4
    ISSN 1873-3344 ; 0162-0134
    ISSN (online) 1873-3344
    ISSN 0162-0134
    DOI 10.1016/j.jinorgbio.2023.112299
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Research progress in modification of natural rubber/ethylene-propylene diene monomer blending rubber

    CHENG An-ren / JIAO Yang / LU Yong-jun / GUO Yue-ying / WANG Lian-cai / DAI Pei

    Hecheng xiangjiao gongye, Vol 45, Pp 259-

    2022  Volume 267

    Abstract: The reason for poor compatibility and poor covulcanization of natural rubber and ethylene-propylene diene monomer was systematically summarized, and the technological development in blending modification of natural rubber/ethylene-propylene diene monomer ...

    Abstract The reason for poor compatibility and poor covulcanization of natural rubber and ethylene-propylene diene monomer was systematically summarized, and the technological development in blending modification of natural rubber/ethylene-propylene diene monomer blending rubber in recent years was comprehensively introduced from the perspective of the adjustment of the blending ratio of each raw rubber, the increase in compatibilizer dosage, the optimal selection of cross-linking agent, the improvement of blending process, and the che-mical modification and radiation vulcanization modification of raw rubber with 63 references. Finally, the future developing trend of blending modification of natural rubber/ethylene-propylene diene monomer was prospected.
    Keywords natural rubber ; ethylene-propylene diene monomer ; blending modification ; compatibility ; cross-linking agent ; compatibilizer ; radiation vulcanization ; review ; Organic chemistry ; QD241-441 ; Chemical engineering ; TP155-156 ; Chemicals: Manufacture ; use ; etc ; TP200-248
    Subject code 001
    Language Chinese
    Publishing date 2022-05-01T00:00:00Z
    Publisher Editorial Office of China Synthetic Rubber Industry
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  10. Article ; Online: A New Multiobjective Evolutionary Algorithm Based on Decomposition of the Objective Space for Multiobjective Optimization

    Cai Dai / Yuping Wang

    Journal of Applied Mathematics, Vol

    2014  Volume 2014

    Keywords Mathematics ; QA1-939 ; Science ; Q ; DOAJ:Mathematics ; DOAJ:Mathematics and Statistics
    Language English
    Publishing date 2014-01-01T00:00:00Z
    Publisher Hindawi Publishing Corporation
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

To top