Showing 321 - 340 results of 695 for search '((("geographies" OR "geographical") OR "demographic") OR "topographic")', query time: 0.15s Refine Results
  1. 321

    Facilitators and barriers affecting the implementation of e-health for chronic respiratory diseases in remote settings: a qualitative evidence synthesis by Salmi, EM, Basile, FW, Khan, FA, Watt, L, Song, R, Bijker, EM

    Published 2025
    “…Intervention objectives, target population, geographical location, local culture, and available resources should be carefully considered when designing an e-health intervention. …”
    Journal article
  2. 322

    Global cross-sectional survey on neonatal pharmacologic sedation and analgesia practices and pain assessment tools: impact of the sociodemographic index (SDI) by Arribas, C, Cavallaro, G, Gonzalez, J-L, Lagares, C, Raffaeli, G, Smits, A, Simons, SHP, Villamor, E, Allegaert, K, Garrido, F

    Published 2024
    “…We organized results based on geographical location. <p><b>Results</b></p> The survey collected 1304 responses, but we analyzed 924 responses after database cleaning. …”
    Journal article
  3. 323

    Views and factors influencing Primary Care Practitioner (pcp) interactions with the pharmaceutical industrys representatives in Malaysia: a multi-sectors qualitative study by Salim, Hani, Ping, Yein Lee, Siew, Mooi Ching, Mawardi, Maliza, Wan Idris, Wan Noor Azlin, Harrun, Noor Harzana

    Published 2024
    “…Four themes emerged from the analysis: (1) Perceived impact of interactions on prescribing habits, (2) Perceived benefit and harm of interactions, (3) Previous positive or negative encounters, (4) the role of geographical, organisational and policy. Conclusion: The study highlighted the views and factors influencing PCP interactions with the representatives of the pharmaceutical industry in Malaysia. …”
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    Article
  4. 324

    Learning moral values through cartoons for Malaysian preschool-aged children by Abdullah, Muhammad Alif Redzuan

    Published 2023
    “…The analysis was limited by the small sample size and geographical location of this study. Thus, it was suggested that further studies are conducted to expand the economic strata and age groups.…”
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    Article
  5. 325

    Medicine distribution pattern detection in pharmaceutical supply chains: a new Kth-proximity density-distance-based method by Delgoshaei, Aidin, Mohd Ariffin, Mohd Khairol Anuar

    Published 2024
    “…This research aims to propose a new method, named density-distance method, that works based on Kth proximity using patient features (including age, gender, education, inherent diseases, systemic diseases and disorders); geographical features (city, state, population, density, land area) and supply chain features (destination and transportation system). …”
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    Article
  6. 326

    Basis risk reduction in weather index insurance for rice production in North-West Malaysia by Abdi, Mukhtar Jibril, Zulkafli, Zed, Raffar, Nurfarhana, Khairudin, Nurulhuda

    Published 2024
    “…Our results indicated that yield averaged at smaller geographical units produced better correlations with indices and a higher risk reduction potential in only one of four sub-areas studied. …”
    Article
  7. 327

    Enhancing construction site performance through technology and management practices as material waste mitigation in the Malaysian construction industry by Mohammed Abdullah Abkar, Mahdi, Yunus, Riduan, Gamil, Yaser, Albaom, Mohammed Abdo

    Published 2024
    “…Emphasizing the importance of contextual insights, the study addresses professionals involved in solid waste management within the Malaysian construction industry. The geographical specificity adds depth to the analysis, offering a comprehensive understanding of regional dynamics. …”
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    Article
  8. 328

    China's expectations for university students' employment outlook: A qualitative analysis based on employment policy documents by Zhang, Ziran, Hasan, Ahmad

    Published 2024
    “…-China trade war, COVID-19, and demographic shifts, graduates in China face growing employment pressures. …”
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    Article
  9. 329

    Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19 by Aleta, Alberto, Martín-Corral, David, Pastore y Piontti, Ana, Ajelli, Marco, Litvinova, Maria, Chinazzi, Matteo, Dean, Natalie E., Halloran, M. Elizabeth, Longini Jr, Ira M., Merler, Stefano, Pentland, Alex, Vespignani, Alessandro, Moro, Esteban, Moreno, Yamir

    Published 2021
    “…Here we integrate anonymized, geolocalized mobility data with census and demographic data to build a detailed agent-based model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in the Boston metropolitan area. …”
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    Article
  10. 330

    Mobility patterns are associated with experienced income segregation in large US cities by Moro, Esteban, Calacci, Dan, Dong, Xiaowen, Pentland, Alex

    Published 2021
    “…Interestingly, while the latter is more strongly associated with demographic characteristics, the former is more strongly associated with mobility behavioral variables. …”
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    Article
  11. 331

    Filipino nursesʼ use of smartphones in clinical settings by Bautista, John Robert Razote

    Published 2019
    “…To address this research gap, this study provided a ranking on how nurses have used their smartphones for work purposes in clinical settings and identified differences based on demographic and organizational factors. In January to June 2017, a pen-and-paper survey was administered to 517 staff nurses employed in 19 tertiary-level general hospitals in Metro Manila, Philippines. …”
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    Journal Article
  12. 332

    Using AI / machine learning to solve real world problems by Lok, Ignatius Zhengrong

    Published 2021
    “…Additionally, the data provided contained obfuscated variables which encoded different categorical data types including Demographic, Real Estate and Commercial Data. We look to address the obfuscated data and the small training set during the preprocessing and feature engineering stage. …”
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    Final Year Project (FYP)
  13. 333

    Teenagers and videoconference fatigue: a preliminary analysis from an affordance-based approach by Lee, Chei Sian, Li, Benjamin Junting, Wu, Qian

    Published 2024
    “…Specifically, the objectives are to examine if (a) VC affordances (visibility, information, and availability), and (b) demographic profiles (age and gender) have effects on VCF among teenagers. …”
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    Journal Article
  14. 334

    A study on social network in Singapore by Wang, Hao

    Published 2010
    “…Surveys were first conducted to gather the demographic and social behavioral data of the people living in Singapore. …”
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    Final Year Project (FYP)
  15. 335

    Computer vision and sensor fusion towards better facilities management system for smart buildings by Arumugam, M Logaraj

    Published 2019
    “…Furthermore, the ever-increasing energy consumption coupled with the cost factor and the immense carbon footprint that Singapore has been facing in this modern era of demographic slowdown and economic restructuring also brings another glaring challenge to this industry. …”
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    Final Year Project (FYP)
  16. 336

    Gaps In Primary Care And Health System Performance In Six Latin American And Caribbean Countries by Macinko, James, Guanais, Frederico C., Mullachery, Pricila, Jimenez, Geronimo

    Published 2016
    “…The rapid demographic and epidemiological transitions occurring in Latin America and the Caribbean have led to high levels of noncommunicable diseases in the region. …”
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    Journal Article
  17. 337

    An interdisciplinary perspective on social and physical determinants of seismic risk by Lin, K.-H. E., Chang, Y.-C., Liu, G.-Y., Lin, T.-H., Yeh, C.-H., Chan, Chung-Han

    Published 2018
    “…In the context of the 1999 Chi-Chi earthquake in Taiwan, this study constructs three statistical models to test different determinants that affect disaster fatality at the village level, including seismic hazard, exposure of population and fragile buildings, and demographic and socioeconomic vulnerability. The Poisson regression model is used to estimate the impact of these factors on fatalities. …”
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    Journal Article
  18. 338

    GEMTraits: A database and R package for accessing and analyzing plant functional traits from the Global Ecosystems Monitoring Network by Shenkin, A, Bentley, L, Asner, G, Diaz, S, Enquist, B, Malhi, Y, Girardin, C

    Published 2017
    “…This dataset contains a POSTGRESQL database with demographic and functional trait data on trees from 10 1-hectare permanent plots across an elevation transect from 3500m to 200m in SE Peru. …”
    Dataset
  19. 339

    Evaluating machine learning for predicting youth suicidal behavior up to 1 year after contact with mental-health specialty care by O’Reilly, LM, Fazel, S, Rickert, ME, Kuja-Halkola, R, Cederlöf, M, Hellner, C, Larsson, H, Lichtenstein, P, D’Onofrio, BM

    Published 2024
    “…Using 209 predictors across domains (e.g., clinical, demographic, family, neighborhood, social) identified from national registers, we applied standard logistic regression, regularized logistic regression, and machine-learning algorithms (i.e., random forests, gradient boosting, support vector machines). …”
    Journal article
  20. 340

    Factors influencing visitors' perception on congestion in Giant Panda Conservation Centre (GPCC), Zoo Negara by Lim, Sin Yun

    Published 2016
    “…Besides that, it also aimed to study the socio-demographic variables in GPCC. The variables were measured using a four points Likert scale through questionnaire survey of 250 respondents. …”
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    Project Paper Report