Showing 181 - 200 results of 1,670 for search 'most processing gap', query time: 0.15s Refine Results
  1. 181
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    User-Perceived Quality and Functional Suitability of Representations of DEMO’s Process and Fact Models: Conclusions From a Family of Three Studies by Dulce Pacheco, David Aveiro, Duarte Pinto, Vitor Freitas

    Published 2025-01-01
    “…This paper addresses this gap by assessing user perception of both standard and newly proposed DEMO representations. …”
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    Article
  3. 183
  4. 184

    Kernel to computation: identifying optimal feature set for red rice classification by Suma D, Narendra V G, Darshan Holla M, Shreyas, Raviraja Holla M

    Published 2025-12-01
    “…While existing research focuses extensively on white rice classification with readily available datasets, automated classification of red rice varieties remains largely unexplored with no publicly available datasets, creating a significant research gap in agricultural image processing applications. …”
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  5. 185

    Gaussian Process Regression (GPR)-based missing data imputation and its uses for bridge structural health monitoring by Matteo Dalmasso, Marco Civera, Valerio De Biagi, Bernardino Chiaia

    Published 2025-06-01
    “…Among them, missing data in recorded time series is arguably the most common and most disruptive challenge that can arise. …”
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  6. 186
  7. 187

    Implementation of a Quality Improvement and Clinical Decision Support Tool for Cancer Diagnosis in Primary Care: Process Evaluation by Sophie Chima, Barbara Hunter, Javiera Martinez-Gutierrez, Natalie Lumsden, Craig Nelson, Dougie Boyle, Kaleswari Somasundaram, Jo-Anne Manski-Nankervis, Jon Emery

    Published 2025-06-01
    “… Abstract BackgroundFor patients with cancer, the pathway to diagnosis will most often begin in general practice. In the absence of strong diagnostic features or in patients with nonspecific symptoms, delays in diagnosis can occur. …”
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    Article
  8. 188

    Mobilizing Health Promotion Through Canada’s Student Mental Health Network: Concurrent, Mixed Methods Process Evaluation by Amy Ecclestone, Brooke Linden, Jessica Rose, Kiran Kullar

    Published 2025-02-01
    “…This paper details a formative, process evaluation after approximately 1 year of operations, with the goal of assessing acceptability and feasibility. …”
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  9. 189

    Identifying important and feasible primary care structures and processes in the US healthcare system: a modified Delphi study by Daphna Harel, Bryan J Weiner, Saul B Blecker, Ann M Nguyen, Maggie M Paul, Stephanie L Albert, Lorraine Kwok, Donna R Shelley, Charles M Cleland, Deborah J Cohen, Laura Damschroder, Carolyn A Berry

    Published 2024-11-01
    “…Objective To identify primary care structures and processes that have the highest and lowest impact on chronic disease management and screening and prevention outcomes as well as to assess the feasibility of implementing these structures and processes into practice.Design A two-round Delphi study was conducted to establish consensus on the impact and feasibility of 258 primary care structures and processes.Participants 29 primary care providers, health system leaders and health services researchers in the USA.Outcomes Primary outcomes were (1) consensus on the impact of each structure and process on chronic disease management and screening and prevention outcomes, separately and (2) consensus on feasibility of implementation by primary care practices.Results Consensus on high impact and feasibility of implementation was reached on four items for chronic disease management: ‘Providers use motivational interviewing to help patients set goals’, ‘Practice has designated staff to manage patient panel’, ‘Practice has onsite providers or staff that speak the most dominant, non-English language spoken by patients’ and ‘Practice includes mental health providers and/or behavioural health specialists in care team’ and seven items for screening and prevention: ‘Practice utilizes standing protocols and orders’, ‘Practice generates reports to alert clinicians to missed targets and to identify gaps in care, such as overdue visits, needed vaccinations, screenings or other preventive services’, ‘Practice has designated staff to manage patient panel’, ‘Practice sets performance goals and uses benchmarking to track quality of care’, ‘Practice uses performance feedback to identify practice-specific areas of improvement’, ‘Practice builds quality improvement activities into practice operations’ and ‘Pre-visit planning data are reviewed during daily huddles’. …”
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    Multimodal Livestock Operations Analysis Using Business Process Modeling: A Case Study of Romanian Black Sea Ports by Catalin Popa, Ovidiu Stefanov, Ionela Goia

    Published 2025-03-01
    “…In spite of its strong increase and relevant position in the evolution of international maritime routes, the global livestock trade is still a poorly treated topic in the maritime business domain of research. Aiming to cover this gap, the authors are focused on revealing the livestock logistics technology in intermodal transports, approaching both equipment reliability and operation flow design, applying the business processes modeling method to map the most relevant stages in animals’ port operation, transfer, and maritime transportation. …”
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  12. 192

    Screening recent studies about incorporating environmental, social and governance criteria in the investment process of institutional investors: scoping review by Khadija ARHILAS, Hassan BOUGANTOUCHE

    Published 2025-02-01
    “…Upon reviewing the selected studies, a significant gap was identified: there is limited research exploring the role of ESG criteria in the investment decision-making processes of institutional investors in Africa, particularly in Morocco. …”
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  14. 194

    Perceived barriers to the process of COVID-19 control among frontline healthcare workers in South Korea: a qualitative study by Heeyoung Lee, Myoungsoon You, Bee-Ah Kang, Sijoung Kwon

    Published 2022-12-01
    “…Each theme described how these barriers affected a disease control process: (1) ‘uncooperative public and unprepared community health centre’ delayed the investigation of newly diagnosed COVID-19 cases; (2) ‘uncoordinated disease control system’ impeded the collection and analysis of digital data; (3) ‘the gap between responsibilities and capabilities’ hindered the classification of close and casual contacts; and (4) ‘conflicts with persons who have different interests and priorities’ hampered epidemiological decision-making.Conclusions Our study found that frontline HCWs experienced various challenges disrupting their work performance to control COVID-19. …”
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    Analysis of Seaweed Chips Business Feasibility (Case Study on "NORIbet" Seaweed Processed MSMEs in the City of Bandung, West Java) by Ristiafani, Ine Maulina, Emma Rochima, Iwang Gumilar

    Published 2025-04-01
    “…This limits added value creation and hinders the growth of micro, small, and medium enterprises (MSMEs). NORIbet, a seaweed-processed MSME based in Bandung, West Java, aims to address this gap by developing value-added seaweed products. …”
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  17. 197

    UrduSER: A comprehensive dataset for speech emotion recognition in Urdu languageMendeley Data by Muhammad Zaheer Akhtar, Rashid Jahangir, QuratUl Ain, Muhammad Asif Nauman, Mueen Uddin, Syed Sajid Ullah

    Published 2025-06-01
    “…However, despite being the 10th most spoken language globally, Urdu lacks SER datasets, creating a significant research gap. …”
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  18. 198

    Neural Classification of Argument Elements and Styles in Arabic Competitive Debates by Al-Zawqari Ali, Mohamed Ahmed, Abdul Gabbar Al-Sharafi, Mohammad M. Khader, Ali Safa, Gerd Vandersteen

    Published 2025-01-01
    “…For the second task, all models drop to 50% F1-score, yet performance rebounds to 81% accuracy and 80% F1-score when predictions are post-processed back to Logos, Pathos, Ethos, revealing that most errors in the second task occur within persuasion modes rather than across them. …”
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  19. 199

    Applications of AI-Based Models for Online Fraud Detection and Analysis by Antonis Papasavva, Samantha Lundrigan, Ed Lowther, Shane Johnson, Enrico Mariconti, Anna Markovska, Nilufer Tuptuk

    Published 2025-06-01
    “…This review addresses this gap by investigating the potential role of AI in analysing online fraud using text data. …”
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  20. 200

    Identification and analysis of factors affecting the technology transfer process in the power train of automotive (Case study : Iran Khodro Industrial Group) by ٍEbrahim Doostzadeh, Abbas Toloie Ashlaghi, Manochehr Manteghi, Reza Radfard

    Published 2025-03-01
    “…<p style="text-align: left;"><strong>Abstract</strong></p> <p style="text-align: left;">Identifying the key factors affecting the process of technology transfer is one of the most important prerequisites of this process. …”
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