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    A comparison of TOPSIS, grey relational analysis and COPRAS methods for machine selection problem in the food industry of Turkey by Sami Özcan, Ali Kemal Çelik

    Published 2021-07-01
    “…A total of 7 alternative products and 7 criteria for milk processing were determined. Criterion weights were calculated using entropy method and then integrated into TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions), GRA (Grey Relational Analysis) and COPRAS (Complex Proportional Assessment) methods. …”
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  3. 2343

    Realistic three dimensional fitness landscapes generated by self organizing maps for the analysis of experimental HIV-1 evolution. by Ramón Lorenzo-Redondo, Soledad Delgado, Federico Morán, Cecilio Lopez-Galindez

    Published 2014-01-01
    “…Human Immunodeficiency Virus type 1 (HIV-1) because of high mutation rates, large population sizes, and rapid replication, exhibits complex evolutionary strategies. For the analysis of evolutionary processes, the graphical representation of fitness landscapes provides a significant advantage. …”
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  4. 2344

    Comparing Nanofiltration and Ion Exchange for Reverse Osmosis Pretreatment in Industrial Water Treatment: A Techno-Economic Analysis by Harwin Harwin

    Published 2024-06-01
    “…Environmental considerations highlighted trade-offs, with NF generating higher wastewater volumes and IX producing wastewater with highly concentrated TDS, necessitating complex treatment processes. Economically, NF generally incurred higher Total Annual Costs (TAC) at lower total hardness concentrations, while IX became costlier at higher concentrations. …”
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  5. 2345

    Comparative analysis of the content and specifications of the state educational standard and federal state educational standards for decorative and applied creativity by Ekaterina O. Kunyaevа

    Published 2019-06-01
    “…The main approaches to the study of the problem are: a systematic approach, methods of analysis, synthesis, comparison, communication, theoretical, comparative analysis. …”
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    Land subsidence monitoring and analysis in Qingdao, China using time series InSAR combining PS and DS by Qiuxiang Tao, Xuepeng Li, Tengfei Gao, Yang Chen, Ruixiang Liu, Yixin Xiao

    Published 2025-12-01
    “…With the accelerated urbanization process in Qingdao, urban land subsidence has damaged infrastructure and hindered the sustainable development. …”
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  9. 2349

    A statistical analysis method for probability distributions in Erdös–Rényi random networks with preferential cutting–rewiring operation by Yu Qian, Jiahui Cao, Jing Han, Siyi Zhang, Wentao Chen, Zhao Lei, Xiaohua Cui, Zhigang Zheng, Zhigang Zheng, Zhigang Zheng

    Published 2024-10-01
    “…The study of specific physiological processes from the perspective of network physiology has gained recent attention. …”
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  10. 2350

    Physical education research trend in the last 100 years: bibliometric analysis and systematic review of Scopus journal database by Muchamad Arif Al Ardha, Nurhasan Nurhasan, Dwi Cahyo Kartiko, Mochamad Ridwan, Sauqi Sawa Bikalawan, Jordan Agung Mubarak, Chung Bing Yang

    Published 2024-07-01
    “… This study carried out a bibliometric analysis and systematic review of the trends in physical education research during the previous 100 years using the Scopus journal database. …”
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    Synchronic and diachronic analysis of the word families of motion verbs (using the root morphemes -khod-, -id-, and -shed- as an example) by O.I. Dmitrieva, O.I. Jankovsky

    Published 2017-10-01
    “…The paper provides a number of examples proving that the general tendencies in the formation of the studied word families in the written history of the Russian language were as follows: firstly, the early character of formation of verbal and nominal paradigms in their structure; secondly, the emergence of new word-formation models at every historical stage; thirdly, the word-formation and semantic variability, both inside and between word families; fourthly, system word-formation processes associated with the development of categories of reflexivity and evaluation in the language. …”
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  18. 2358

    Multivariate statistical and hydrogeochemical analysis of seasonal groundwater quality variations in coastal villages of Trivandrum district, south India by V. Stephen Pitchaimani, R. J. Jerin Joe, G. Shyamala, G. Manjula, B. Hemalatha, M. Dinesh Babu, S. Shenbaga Ezhil, Gobinath Ravindran

    Published 2024-11-01
    “…Water Quality Index (WQI), hydrogeochemical plots, and Principal Component Analysis (PCA) were used to analyses the data. The results show that Vakkom, Kazhakottam, Veli-Attipara, and Pozhiyoor show significant deterioration, and areas such as Varkala, Ayroor, and Edava generally maintain good water quality. …”
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  19. 2359

    Tracing Missing Surgical Specimens: A Quality Improvement Strategy for Adverse Events Based on Root Cause Analysis by Huang LL, Yang JH, Hong WW, Wang BL, Chen HF

    Published 2025-06-01
    “…This event underscored systemic vulnerabilities in specimen handling processes and catalyzed an investigation into how healthcare systems manage medical errors to uphold patient safety.Methods: Using root cause analysis (RCA), we dissected the workflow gaps and organizational factors contributing to the specimen loss. …”
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  20. 2360

    Association analysis between polygenic risk scores and traits: practical guidelines and tutorial with an illustrative data set of schizophrenia by Itziar Irigoien, Patricia Mas-Bermejo, Patricia Mas-Bermejo, Sergi Papiol, Sergi Papiol, Sergi Papiol, Neus Barrantes-Vidal, Neus Barrantes-Vidal, Neus Barrantes-Vidal, Araceli Rosa, Araceli Rosa, Araceli Rosa, Concepción Arenas

    Published 2025-08-01
    “…Most methodological Polygenic Risk Score (PRS)-related papers explain the laborious process of computing the PRS in great depth. Afterwards, as a last step, it is generally described that to test a possible association between a PRS and a trait of interest, an analysis through regression models (linear or logistic, depending on data type) should be carried out adjusting for covariates (e.g., sex, age, clinical information, or genetic ancestry-based Principal Components). …”
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