Showing 881 - 900 results of 1,106 for search 'influential processing', query time: 0.14s Refine Results
  1. 881

    MEANING IN LIFE AND SOURCES OF MEANING, DEPRESSION AND QUALITY OF LIFE IN PATIENTS ON HEMODIALYSIS by Camelia SOPONARU, Diana MURARU, Magdalena IORGA

    Published 2016-12-01
    “…Conclusion: The results of this research highlight the fact that low scores of depression increase quality of life in HD patients, while meaning in life, gender and the environment are not influential. Although specific to the subjects who were part of the research lot, the results obtained can enrich scientific literature and trace future research directions. …”
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  2. 882

    How are treatment decisions made about artificial nutrition for individuals at risk of lacking capacity? A systematic literature review. by Gemma Clarke, Katy Harrison, Anthony Holland, Isla Kuhn, Stephen Barclay

    Published 2013-01-01
    “…However, little is known about the decision-making process; the evidence base is uncertain and often ethically complex. …”
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  3. 883

    Estimación de la resistencia a la penetración de suelos usando redes neuronales artificiales Prediction of the soils penetration strength using artificial neural networks by Nidia Johana Valdés Holguín, Luis Octavio González Salcedo, Adrián L E. Will

    Published 2011-07-01
    “…<br>Artificial Neural Networks simulate the learning process of biological neurons, and these have been successfully used in the computation of parameters on several engineering problems where exist a strong nonlinear relation among the variables. …”
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  4. 884

    Drivers Influencing on the self-organization of villagers and improving sustainable rural livelihoods Ashtian County by Naser Shafieisabet, Masoudeh Nikoeifard, Neginsadat Mirvahedi

    Published 2025-09-01
    “…Villagers' self-organization, as a collaborative process, plays a fundamental role in promoting sustainable livelihoods in rural areas. …”
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  5. 885

    Improving stakeholder collaboration for sustainable agricultural mechanisation in rice production: a case study from Asutsuare, Ghana by Selorm Yaotse Dorvlo, Gideon Baffoe, Eleanor K. K. Jew, Elizabeth Mkandawire, Andrew J. Dougill

    Published 2025-08-01
    “…Using the pairwise ranking technique, the study found that smallholder farmers were the most influential stakeholders regarding mechanising rice production. …”
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  6. 886

    Mental well-being of international migrants to Japan: a systematic review by Akira Shibanuma, Masamine Jimba, Russell Miller, Yuri Tomita, Ken Ing Cherng Ong

    Published 2019-11-01
    “…Background Migration is a stressful process of resettlement and acculturation that can often negatively impact the mental health of migrants. …”
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  7. 887

    Application of Quantitative Interpretability to Evaluate CNN-Based Models for Medical Image Classification by Nuan Cui, Yingjie Wu, Guojiang Xin, Jiaze Wu, Liqin Zhong, Hao Liang

    Published 2025-01-01
    “…Class Activation Mapping (CAM) algorithms generated heatmaps visualizing influential regions. The Heatmap Assisted Accuracy Score (HAAS) was utilized to assess feature attribution quality. …”
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  8. 888

    Soft Computing Solutions for Reducing the Carbon Footprint of Fly Ash Based Concrete. Advances in Civil Engineering by Awoyera, Paul O., Adetola, Joshua, Nayeemuddin, Mohammed, Mewada, Hiren, George Fadugba, Olaolu

    Published 2025
    “…The construction industry significantly contributes to environmental degradation,with many structures exhibiting high carbon footprints throughout their construction processes and lifespans.Activities such as cement hydration and other commoncon-struction practices substantially influence environmental conditions overtime,necessitating a critical evaluation of material and design choices.This study reported the environmental impact of fly ash(FA),which is largely used to enhance concrete strength.A prediction of two end point indicators,that is,global warming potential(GWP)and CO2 emission using soft computing methods are presented,which are particularly effective for handling complex,non linear relationships in environmental data.To achieve this, two machine learning approaches,the random forest(RF)and decision tree(DT)models,are employed to assess the environ- mental impact of structural materials and designs.Two data sets were obtained from reputable databases,including ResearchGate, Science Direct, Semantic Scholar,and Mendeley Data.The models are trained to explore the potential for optimizing structural designs and material selection stominimize environmental impacts.Feature importance is analyzed using Shapley values,providing insights into the most influential factors affecting GWP and CO2 emission Model performance is evaluated using R2 and root mean square error(RMSE) metrics. …”
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  9. 889

    MUSLIM POLE OF THE WORLD ECONOMY AND THE GENIE OF GLOBALIZATION by L. L. Fituni, I. O. Abramova

    Published 2018-09-01
    “…The article explores a process of gradual consolidation of disparate set of Muslim economies into an increasingly influential, though internally contradictory center of geo-economic and geopolitical gravity in contemporary multipolar world. …”
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  10. 890

    A Hybrid GRA-TOPSIS-RFR Optimization Approach for Minimizing Burrs in Micro-Milling of Ti-6Al-4V Alloys by Rongkai Tan, Abhilash Puthanveettil Madathil, Qi Liu, Jian Cheng, Fengtao Lin

    Published 2025-04-01
    “…However, its practical applications are hindered by significant challenges, particularly the unavoidable generation of burrs, which complicate subsequent finishing processes and adversely affect overall part quality. …”
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  11. 891

    General practice residents’ perspectives on their professional identity formation: a qualitative study by Mattijs E Numans, Vera Nierkens, Yvonne Steinert, Pieter C Barnhoorn, Anneke WM Kramer, Walther NKA van Mook

    Published 2022-07-01
    “…Therefore, we aimed to investigate the process of PIF during the full length of General Practice (GP) training and which factors residents perceive as influential.Design A qualitative descriptive study employing focus group interviews.Setting Four GP training institutes across the Netherlands.Participants Ninety-two GP residents in their final training year participated in 12 focus group interviews.Results Study findings indicated that identity formation occurs primarily in the workplace, as residents move from doing to becoming and negotiate perceived norms. …”
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  12. 892

    WAYS OF IMPROVING SERVICE QUALITY IN NETWORK RETAIL by Valentyna A. Pavlova, Olena Yu. Meshal

    Published 2023-12-01
    “…General trends in the development of modern retail, features of the sales funnel are considered. The most influential factors on the organization of business entities in the field of trade are identified, in particular: digitization of trade and technological processes and customer retention thanks to artificial intelligence; expansion of the virtual trading space and automation of internal processes; personalization of customer service. …”
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  13. 893

    AI enhanced model predictive control for optimizing LPG recovery through integrated computational modeling design of experiments and multivariate regression by Basma Abd El Hakim, Mahmoud Abdel-Halim Abdel-Goad, M. E. Awad, Abeer M. Shoaib

    Published 2025-08-01
    “…Response surface methodology (RSM) was applied to steady-state simulation results to analyze key process variables. Feed molar flow rate was the most influential factor, while pressure-related variables showed minor but statistically significant effects. …”
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  14. 894

    Seagrass-Associated Biodiversity Influences Organic Carbon in a Temperate Meadow by Lowri O’Neill, Bettina Walter, Richard K. F. Unsworth

    Published 2024-11-01
    “…However, this effect is not as influential as hypothesised, and the relatively small sample size of the present study limits its ability to provide strong causality. …”
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  15. 895
  16. 896

    Predictive modeling of the mechanical behavior of 3D-printed polylactic acid/wood composite: Comparison of GEP and ANN methods by Abhijit Bhowmik, Raman Kumar, Ranganathaswamy M. K., Y. Karun Kumar, Priyaranjan Samal, Abinash Mahapatro, Abdulaziz N. Alhazaa, Valentin Romanovski, A. Johnson Santhosh

    Published 2025-04-01
    “…ANOVA results identified raster angle as the most influential factor, contributing 38.36% and 26% to tensile and compressive strengths, respectively. …”
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  17. 897

    Using the Theozyme Model to Study the Dynamical Mechanism of the Post-Transition State Bifurcation Reaction by NgnD Enzyme by Yaning Hou, Jingyun Chen, Weizhe Liu, Gaohua Zhu, Qianying Yang, Xin Wang

    Published 2024-11-01
    “…Post-transition state bifurcation (PTSB) is a fundamental process in which a single transition state leads to multiple products. …”
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  18. 898

    Dynamics of DNA methylation during osteogenic differentiation of porcine synovial membrane mesenchymal stem cells from two metabolically distinct breeds by Shuaichen Li, Puntita Siengdee, Frieder Hadlich, Nares Trakooljul, Michael Oster, Henry Reyer, Klaus Wimmers, Siriluck Ponsuksili

    Published 2024-12-01
    “…Predicting transcription factor motifs in regions of DMRs linked to osteogenic processes and donor breeds revealed influential motifs, including KLF1, NFATC3, ZNF148, ASCL1, FOXI1, and KLF5. …”
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  19. 899

    Application of response surface methodology for optimizing friction stir welding parameters of AA6082-T6 aluminium alloy by George G. Yacout, A.Y. Shash, Hesham A. Hegazi, Mahmoud G. ElSherbiny

    Published 2025-07-01
    “…The mechanical properties of FSW joints, such as ultimate tensile strength (UTS) and hardness (HV), are strongly influenced by key process parameters, including rotational speed (A), feed rate (B), tool tilt.…”
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  20. 900

    Crystal Violet Dye Removal from Aqueous Solution Using Corn Silks as an Environmentally Friendly Adsorbent by Israa Sabeeh Al-Bayati, Basma I. Waisi, Manal A. Mohammed, Asrar A. Alobaidy, Mohammed A. Kadhom

    Published 2025-05-01
    “…Adsorption is a simple and effective process; when biowaste is applied for this purpose, a reasonable solution is proposed in terms of economical and influential sectors. …”
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