Showing 241 - 260 results of 4,195 for search '(((ping OR cheng) OR (mingge OR (financed OR (pinned OR spinned)))) OR (pin OR long))', query time: 0.21s Refine Results
  1. 241

    Manual laterality, grip types and tool use styles of andaman long-tailed macaques. by Tan, Say Hoon.

    Published 2011
    “…The relationship between handedness, grip type, food type, tool use style, tool sizes, and bout characteristics were examined amongst a group of Andaman long-tailed macaques. Coding from videotapes was done to obtain data. …”
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    Final Year Project (FYP)
  2. 242

    Characterizing the spectrum of slip behavior at the Sumatran subduction zone with long-term geodetic records by Tsang, Louisa Lok Hang

    Published 2016
    “…First, from an ~1100-year-long paleogeodetic record at Simeulue Island, I discover that time-variable vertical deformation rates can be explained by changes in interseismic fault coupling over time. …”
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    Thesis
  3. 243

    Screening for older inpatients at risk for long length of stay : which clinical tool to use? by Beauchet, Olivier, Fung, Shek, Launay, Cyrille P., Cooper-Brown, Liam Anders, Afilalo, Jonathan, Herbert, Paul, Afilalo, Marc, Chabot, Julia

    Published 2019
    “…Background: Screening for inpatients at risk for long length of stay (LOS) is the first step of an effective hospital care plan for older inpatients. …”
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    Journal Article
  4. 244

    The novel application of the lightning process to treat long COVID in primary care: case report by Finch, Fiona, Parker, Phil, Nollett, C., Burns, S.

    Published 2024
    “…As a result of the COVID-19 pandemic, Long COVID (LC) is now prevalent in many countries. …”
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    Article
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  7. 247

    Global marine flyways identified for long-distance migrating seabirds from tracking data by Davies, T, Guilford, T

    Published 2025
    “…<p><strong>Aim:</strong> To identify the broad-scale oceanic migration routes (‘marine flyways’) used by multiple pelagic, long distance migratory seabirds based on a global compilation of tracking data.…”
    Journal article
  8. 248

    A hidden lethal effect of long microplastic fibres on the coastal copepod Acartia erythraea by Takahashi, Kazutaka, Teh, Jun Chin

    Published 2024
    “…We investigated the lethal effects of a long fibrous microplastic (the range of lengths, widths, and thicknesses were 1.5–3.6 mm, 10–16 μm, and 7–8.5 μm, respectively) made of polyethylene terephthalate textile, on the marine copepod Acartia erythraea. …”
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    Article
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  11. 251

    Motor insurance in Singapore : problems and prescriptions by Ang, Cheng Sim, Lim, Siew Hui, Teo, Clarissa Suan Hoon

    Published 2015
    Subjects: “…DRNTU::Business::Finance::Insurance…”
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    Final Year Project (FYP)
  12. 252

    Bancassurance : a different perspective. by Choong, Tze Shin@Chuang, Tze Shin., Goh, Gooi Ping., Pang, Seng Hui.

    Published 2008
    Subjects: “…DRNTU::Business::Finance::Insurance…”
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    Final Year Project (FYP)
  13. 253

    A comparison of local and foreign tranche stocks listed on the SES and the KLSE by Lim Meei Yng, Tan Hwee Li, Wong Kim Ping

    Published 2014
    Subjects: “…DRNTU::Business::Finance::Stock exchanges…”
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    Final Year Project (FYP)
  14. 254
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  16. 256

    Measuring spin polarization of Cu-doped bulk indium tin oxide using point contact Andreev reflection method. by Tan, Lihao.

    Published 2009
    “…Spin polarization of a novel material is of interest to researcher in the field of spintronic devices. …”
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    Final Year Project (FYP)
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  18. 258

    Can green finance facilitate Industry 5.0 transition to achieve sustainability? A systematic review with future research directions by Dhayal, Karambir Singh, Giri, Arun Kumar, Kumar, Anil, Samadhiya, Ashutosh, Agrawal, Shruti, Agrawal, Rohit

    Published 2023
    “…To achieve decarbonization, the climate change discussion is merged with Industry 5.0 (I5.0) where green finance (GF) plays a crucial role. This technological metamorphosis of transition from Industry 4.0 (I4.0) to I5.0 will affect humans and their society. …”
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    Article
  19. 259

    Prediction of international rice production using long short- term memory and machine learning models by Arya, Suraj, Anju, ., Nor Azuana, Ramli

    Published 2025
    “…This paper proposes machine learning (ML) and deep learning (DL) models like linear regression, ridge regression, random forest (RF), adaptive boosting (AdaBoost), categorical boosting (CatBoost), extreme gradient boosting (XGBoost), gradient boosting, decision tree, and long short-term memory (LSTM) to predict international rice production. …”
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    Article
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