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2961
An Overview of Patient-reported Outcomes for Men with Prostate Cancer: Results from the PIONEER Consortium
Published 2025-01-01“…We observed that sexual dysfunction was the most affected PRO and found large differences between data sources. Conclusions and clinical implications: Our results support the feasibility of PRO assessment using big data in Europe. …”
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Challenges in the establishment of a rare plant species monitoring program using community science volunteers
Published 2024-10-01“…We propose a recruitment strategy to broaden the diversity of our volunteers by better engaging community members who are not typically involved with plant monitoring but are interested in hiking, walking in natural areas, gardening, and restoration activities, and others who would like the opportunity to collaborate with scientists and researchers in addressing an environmental issue. Practical implication: Community science plant monitoring programs face challenges in recruitment, retention, remoteness of field sites and data quality. …”
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2963
Computational analysis of the functional impact of MHC-II-expressing triple-negative breast cancer
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2964
Assessing the efficacy and cost‐effectiveness of integrating autonomous recording units and point‐count surveys for population monitoring of northern bobwhite (Colinus virginianus)...
Published 2025-04-01“…We used empirical data and simulations of biologically realistic datasets to assess the relative benefits and costs associated with estimating abundance from ARU and point‐count data collected from northern bobwhite (Colinus virginianus), a species of cultural and commercial importance that has been declining across much of its range. …”
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Chaperonin containing TCP1 subunit 5 as a novel pan-cancer prognostic biomarker for tumor stemness and immunotherapy response: insights from multi-omics data, integrated machine le...
Published 2025-05-01“…Abstract Background Chaperonin containing TCP1 subunit 5 (CCT5), a vital component of the molecular chaperonin complex, has been implicated in tumorigenesis, cancer stemness maintenance, and therapeutic resistance. …”
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2967
From Carbon Footprints to Competitive Edges: Analyzing Environmental Efficiency in Aviation
Published 2025-04-01“…Purpose: This study conducts a comprehensive analysis of environmental efficiency in the aviation industry, focusing on 19 global airline companies employing diverse business models.Methodology: Utilizing Data Envelopment Analysis for 2017 to 2022, the research quantifies efficiency levels based on input and output variables, including Fuel Consumption, Revenue Passenger Kilometers, Greenhouse Gas Emissions, and Total Income.Findings: Noteworthy findings reveal that Alaska Airlines (VRS=1), Lufthansa (VRS=1), Spirit Airlines (VRS=1), and Delta Air Lines (VRS=1) consistently operated at the environmental efficiency frontier, showcasing a proportional relationship between input and output values.Originality: The dynamic nature of the aviation industry, coupled with the economic implications of environmental initiatives, necessitates a nuanced understanding of airlines' sustainability efforts. …”
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2969
THE USE OF VERSATEXT IN TEACHING ENGLISH FOR SPECIFIC PURPOSES AT MEDICAL UNIVERSITIES
Published 2024-04-01“…This article explores the integration of data-driven learning tools, as exemplified by VersaText, into the process of teaching English for Specific Purposes in medical education. …”
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The interplay between business analytics capabilities and decision-making performance in Indonesia's public sector
Published 2025-12-01“…This study investigates the relationships between data-driven culture, business analytics capability, and decision-making performance, with a focus on the mediating effects of data literacy skills and knowledge management. …”
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2971
Evaluation of Cultural Ecosystem Services in the Urban Parks of Macau from a Cultural Heritage Perspective
Published 2025-04-01“…Cultural ecosystem services (CES) provided by 12 major urban parks on the Macau Peninsula were quantitatively evaluated using social media data. Furthermore, the potential implications of these findings for cultural heritage preservation and landscape design optimization were investigated. …”
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2972
Effects of the built environment on travel distance in bus-oriented, medium-sized cities in China
Published 2024-05-01“…These findings provide novel insights and empirical implications to support urban planning strategies in medium-sized cities. …”
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Can Women’s Empowerment Increase Their Participation in the Workforce? Evidence from ASEAN
Published 2025-05-01“…Method: This research employs a panel data approach by applying the Random Effects Model (REM) across 10 ASEAN member countries. …”
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A physically based analytical model of flood frequency curves
Published 2016-09-01“…The approach provides a framework for the prediction of floods based on short data series of rainfall and daily streamflows that may be especially valuable in data scarce regions of the world.…”
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Industry 4.0 in commercial airlines: a bibliometric analysis
Published 2025-08-01“…The contemporary literature has focused on artificial intelligence, automation, big data analytics, the Internet of Things, and integrating Industry 4.0 technologies. …”
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2978
Investigating the determinants of productivity dynamics in Indian commercial banks: a DEA based Malmquist Index approach
Published 2025-12-01“…For this purpose, the study resorted to Data Envelopment Analysis based Malmquist Productivity Index. …”
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Assessment of integrated rail and bus transport network design: Equity and efficiency perspectives
Published 2025-05-01“…This paper presents a methodological framework that integrates PTND with Data Envelopment Analysis (DEA) to design and evaluate multiple PTND scenarios. …”
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Crop simulation models as decision tools to enhance agricultural system productivity and sustainability – a critical review
Published 2025-01-01“…This aids policymakers and farmers in making informed decisions to mitigate risks associated with agricultural productivity. The advent of BIG-DATA in agriculture and various crop simulation modeling approaches at multiple spatiotemporal scales offers valuable insights into seasonal and in-field soil-crop variability, enabling accurate crop yield, and quality estimation. …”
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