Showing 1,261 - 1,280 results of 14,077 for search '"Genetics"', query time: 0.06s Refine Results
  1. 1261

    Unlocking the genetic potential of Ethiopian fenugreek (Trigonella foenum-graecum L.) genotypes for future breeding by Zebib Berhe, Tesfaye Awas, Asmare Dejen, Metadel Adane, Baye Akele, Musa Adal, Faris Hailu

    Published 2025-02-01
    “…Generally, the study indicate that indigenous knowledge held by fenugreek farmers has to be documented and preserved in appropriate formats including in databases and the fenugreek can be improved through selection easily with considering the traits that show high variation with genetic advance for future breeding.…”
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    Article
  2. 1262

    Slight thermal stress exerts genetic diversity selection at coral (Acropora digitifera) larval stages by Cristiana Manullang, Nozomi Hanahara, Ariyo Imanuel Tarigan, Yuko Abe, Mao Furukawa, Masaya Morita

    Published 2025-01-01
    “…The impact of heat stress on larval genetic diversity was assessed through sequencing. …”
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    Article
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    Adjunctive diagnostic tool for histopathological classification of congenital mesoblastic nephroma based in molecular genetic findings by Hiroshi Hamada, Kenichi Kohashi, Takeshi Iwasaki, Mikiko Hashisako, Yuko Hino, Masahiro Fukuhara, Amane Kamouchi, Naonori Kawakubo, Tatsuro Tajiri, Yoshinao Oda

    Published 2025-02-01
    “…Direct identification of mutations is desirable for an accurate diagnosis. However, molecular genetic analyses cannot be performed in a number of histopathology laboratories. …”
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    Article
  7. 1267
  8. 1268

    Research on Energy-Efficient Building Design Using Target Function Optimization and Genetic Neural Networks by Youxiang Huan

    Published 2025-01-01
    “…METHODS: A multi-objective optimization method, using the non-sorting genetic algorithm (NSGA-II), assesses energy efficiency by determining optimal wall types, insulation thickness, and insulation type. …”
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    Article
  9. 1269

    Association of genetically proxied cancer-targeted drugs with cardiovascular diseases through Mendelian randomization analysis by Chuchun Fang, Xuewei Liu, Chen Yu, Songlin Li, Xueying Liu, Shifeng Qiu, Hongbin Liang, Caiwen Ou, Jiancheng Xiu

    Published 2025-01-01
    “…Nevertheless, only VEGFA expression and stroke shared a causal variant (93.6%), whereas FGFR1, MAP2K2, and FLT1 did not share causal variants with corresponding cardiovascular diseases in the colocalization analysis. Conclusions This genetic association study revealed evidence supporting the genetic association between the use of VEGFA inhibitors and increased stroke risk, highlighting the need for enhanced pharmacovigilance. …”
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    Article
  10. 1270

    Legislation Related to the EU Mandatory Labeling System for Genetically Modified Foods and Enlightenments Drawn from It by ZHANG Jing, LUO Jiaoni

    Published 2025-01-01
    Subjects: “…european union; genetically modified foods; mandatory labeling; traceability…”
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    Article
  11. 1271
  12. 1272

    ROTATING MACHINERY DEGRADATION STATUS IDENTIFICATION BASED ON BI-OBJECTIVE OPTIMIZATION GENETIC ALGORITHM AND SVM by PEI MoChao, ZHANG JianJun, LI HongRu, YU He

    Published 2021-01-01
    Subjects: “…Bi-objective optimization genetic algorithm(BOGA)…”
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    Article
  13. 1273

    Reduced Complexity Iterative Decoding of 3D-Product Block Codes Based on Genetic Algorithms by Abdeslam Ahmadi, Faissal El Bouanani, Hussain Ben-Azza, Youssef Benghabrit

    Published 2012-01-01
    “…Those features make the decoders based on genetic algorithms efficient and attractive.…”
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    Article
  14. 1274

    The high cancer incidence in young people in Italy: do genetic signatures reveal their environmental causes? by Ruggero Ridolfi

    Published 2016-03-01
    “…Connecting links amongst the external environment, cellular microenvironment and functional epigenetic and genetic mutations promote carcinogenesis. Today, the whole genome sequencing techniques for human cancers can help to formulate a map of mutational signatures in individual tumours, and a list of mutational fingerprints showing exposure to specific environmental mutagens is being developed. …”
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    Article
  15. 1275

    A Modified Decision Tree Algorithm Based on Genetic Algorithm for Mobile User Classification Problem by Dong-sheng Liu, Shu-jiang Fan

    Published 2014-01-01
    “…Aimed at the limitations of previous classification methods, this paper puts forward a modified decision tree algorithm for mobile user classification, which introduced genetic algorithm to optimize the results of the decision tree algorithm. …”
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    Article
  16. 1276

    Coverage repair strategies for wireless sensor networks based on muti-mobile nodes and genetic algorithm by Miao YE, Yu-ping WANG, Jing-xuan WEI

    Published 2014-12-01
    “…A repairing strategy for the coverage of the sensor network based on multi-mobile nodes and path planning is designed.Such mechanism can ultimately repair common nodes in a timely fashion via energy consumption analysis of the nodes by using genetic algorithm to calculate the reasonable moving path of the mobile nodes,which can avoid cov-erage holes caused by the death of sensor nodes at its best.The global convergence the designed algorithm is proved by stochastic process.Simulation experiments have proven the effectiveness of the designed mechanism and the relevant solution algorithm.…”
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    Article
  17. 1277

    Emerging antifungal resistance in Trichophyton mentagrophytes: insights from susceptibility profiling and genetic mutation analysis by Yakun Shao, Jin Shao, Sybren de Hoog, Paul Verweij, Lin Bai, Riina Richardson, Malcolm Richardson, Zhe Wan, Ruoyu Li, Jin Yu, Yinggai Song

    Published 2025-12-01
    “…Notably, 27 T. interdigitale isolates were classified as non-wild-type for terbinafine. Genetic diversity was analyzed for the SQLE, CYP51A and CYP51B gene. …”
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  18. 1278

    Detecting Communities in Complex Networks Using an Adaptive Genetic Algorithm and Node Similarity-Based Encoding by Sajjad Hesamipour, Mohammad Ali Balafar, Saeed Mousazadeh

    Published 2023-01-01
    “…Among different community detection methods, genetic algorithms (GAs) have become popular. Considering the drawbacks of the currently used locus-based and solution-vector-based encodings to represent the individuals, in this article, we propose (1) a new node similarity-based encoding method, MST-based encoding, to represent a network partition as an individual, which can avoid the shortcomings of the previous encoding schemes. …”
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