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

“…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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Associations of ambient air pollution exposure and sleep pattern with brain structures: A prospective study in the UK Biobank by Ting Song, Xiyin Qiu, Jialong Wu, Huan Xu, Juying Zhang, Bing Guo, Xing Zhao

“…However, no study has explored the impact of sleep conditions (sleep behaviors and sleep patterns) on the associations between AP and brain structures. Methods: This study included over 21,000 participants from the UK Biobank. …”
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A novel approach for snow depth retrieval in forested areas by integrating horizontal and vertical canopy structures information by Shanna Yue, Liyun Dai, Jie Deng, Yanxing Hu, Lin Xiao, Tao Che

“…In this study, a normalized maximum stem volume (NMSV) index was constructed by combining canopy height and tree cover data obtained through remote sensing techniques. …”
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Geological structure and occurrence conditions of the Bazhenov formation within THE South Tambey gas condensate field by A. A. Rasskazov, G. N. Potemkin

“…Determination of the structural features and occurrence conditions of the Bazhenov formation.Materials and methods. …”
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Incommensurately modulated structure of Zn4Si2O7(OH)2·H2O at high pressure by Roman Gajda, Wojciech Sławiński, Tomasz Poręba, Jan Parafiniuk, Mohamed Mezouar, Przemysław Dera, Krzysztof Woźniak

“…We report the incommensurately modulated structure described in the (3+1)D space group Pnn2(0, β, 0)000. …”
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Fast report: Coseismic source model of the January 2025 Mw 6.1 Dapu earthquake from geodetic data and its implications for seismogenic structures in Southwestern Taiwan by Yogendra Sharma, Kuo-En Ching, Wu-Lung Chang, He-Chin Chen, Shih-Han Hsiao, Wu-Yu Liao, En-Jui Lee, Ray Y. Chuang, Chien-Liang Chen

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Analysis of dairy farm assets in the Visegrad Group based on the Farm Accountancy Data Network 2015-2022 data by Ildikó VAJDÁNÉ SZABÓ, Nóra HEGEDŰSNÉ BARANYAI, Judit Poór

“…This study aims to investigate the milk production of the Visegrad countries (V4), to answer the question, of what differences and similarities characterize the asset structure of the dairy farms of these countries. Based on the Farm Accountancy Data Network (FADN), the size and the structure of the fixed assets, as well as the use of subsidies for investments is analyzed. …”
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Comparative analysis of the organelle genomes of seven Rosa species (Rosaceae): insights into structural variation and phylogenetic position by Rongxiang Zhang, Shuwen Liu, Ying Liu, Pei Wei, Niyan Xiang, Yuemei Zhao, Xiaoman Gao, Xiaoman Gao, Yebing Yin, Lijun Qin, Tao Yuan, Tao Yuan

“…The second- and third-generation data for the other five Rosa species were downloaded from the NCBI database. …”
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Discovering prominent differences in structural and functional connectomes using a multinomial stochastic block model by Nina Braad Iskov, Anders Stevnhoved Olsen, Kristoffer Hougaard Madsen, Morten Mørup

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Predicting an individual’s functional connectivity from their structural connectome: Evaluation of evidence, recommendations, and future prospects by Andrew Zalesky, Tabinda Sarwar, Ye Tian, Yuanzhe Liu, B. T. Thomas Yeo, Kotagiri Ramamohanarao

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A spatially constrained independent component analysis jointly informed by structural and functional network connectivity by Mahshid Fouladivanda, Armin Iraji, Lei Wu, Theodorus G. M. van Erp, Aysenil Belger, Faris Hawamdeh, Godfrey D. Pearlson, Vince D. Calhoun

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Guiding incumbent companies in navigating digital transformations: A qualitative study on structural ambidexterity and strategic leadership by Sabrina Hoessler, Claus-Christian Carbon

“…PURPOSE: Despite digital transformation being a focus topic for incumbent companies, organizational structures are a significant barrier to their success. …”
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A structured-illumination reflectance imaging dataset for woody breast assessment of broiler meatZenodo by Yuzhen Lu, Hamed Sardari

“…An image dataset was created to assess WB conditions in broiler breast fillets using structured-illumination reflectance imaging (SIRI) as a non-destructive, objective means for WB assessment. …”
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An open-access lumbosacral spine MRI dataset with enhanced spinal nerve root structure resolution by Jionghui Liu, Wenqi Zhang, Yuxing Zhou, Linhao Xu, Ying-Hua Chu, Fumin Jia

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Spatial parameters for transportation: A multi-modal approach for modelling the urban spatial structure using deep learning and remote sensing by Dorothee Stiller, Michael Wurm, Thomas Stark, Pablo d'Angelo, Karsten Stebner, Stefan Dech, Hannes Taubenböck

Subjects: “…urban spatial structure…”
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A Data-Driven Analysis of Electric Vehicle Adoption Barriers in the Philippines: Combining SEM and ANNs by Charmine Sheena R. Saflor, Klint Allen Mariñas, Ma. Janice Gumasing, Jazmin Tangsoc

“…This study investigates the factors influencing the adoption of electric vehicles in the Philippines, focusing on key barriers through an integrated approach using machine learning and structural equation modeling (SEM). Specifically, artificial neural networks (ANNs) and SEM are employed to analyze data from online surveys and the existing literature, identifying the critical obstacles that impact consumer acceptance. …”
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The influencing factors of newly employed nurses’ adaptation in Malaysia: a structural equation modelling assessment by Hafidza Baharum, Aniza Ismail, Zainudin Awang, Lisa McKenna, Roszita Ibrahim, Zainah Mohamed, Nor Haty Hassan, Abdul Haniff Mohamad Yahaya

“…Questionnaires were distributed through Google Forms. The data were analysed using covariance-based structural equation modelling. …”
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Evaluation of Bayesian network scoring functions in polychotomous data analysis by Xuejia Ke, Katherine Keenan, V. Anne Smith

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Building a High-Performance Graph Storage on Top of Tree-Structured Key-Value Stores by Heng Lin, Zhiyong Wang, Shipeng Qi, Xiaowei Zhu, Chuntao Hong, Wenguang Chen, Yingwei Luo

“…The present study focuses on the design and implementation of graph storage layout, with a particular emphasis on tree-structured key-value stores. We also examine different design choices in the graph storage layer and present our findings through the development of TuGraph, a highly efficient single-machine graph database that significantly outperforms well-known Graph DataBase Management System (GDBMS). …”
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FDI and Trade Connectivity in EU: New Evidence from a Non-Linear Panel Smooth Transition VECM by Pavlos Stamatiou, Nikolaos Dritsakis

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