Article
Management
Giovanni Radaelli, Dimitrios Spyridonidis, Graeme Currie
Summary: This study examines the role of platform sponsors and program managers in enhancing inter-organizational collaboration in a large research program. Through a 5-year case study in England, the researchers analyzed the CLAHRC platform sponsored by the NIHR, which aimed to drive evidence-based care for patients with long-term health conditions. The study identifies three mechanisms through which the platform sponsor and program managers revised the platform's governance strategies to enhance collaboration.
JOURNAL OF OPERATIONS MANAGEMENT
(2023)
Article
Computer Science, Cybernetics
Tianyu Wang, Dong Ge
Summary: This study is an innovative research on intelligent online language teaching, utilizing collaborative filtering algorithm to recommend online Chinese learning resources that meet learners' and teachers' needs. It aims to assist learners and teachers in efficiently searching and analyzing various learning resources, providing personalized results based on machine learning and big data analysis.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Review
Biology
Deepti Mittal, Rebecca Mease, Thomas Kuner, Herta Flor, Rohini Kuner, Jamila Andoh
Summary: The importance of effective research data management (RDM) strategies grows with advancements in data acquisition techniques and research methods, especially in neuroscience. However, large-scale neuroscience research consortia face challenges in implementing a coherent RDM plan due to the diverse research strategies and requirements they encompass. This article presents a concrete RDM strategy implemented for the Heidelberg Collaborative Research Consortium, focusing on sustainable solutions that incentivize incremental RDM while respecting research-specific requirements.
Article
Computer Science, Artificial Intelligence
Sheeba Samuel, Birgitta Koenig-Ries
Summary: Scientific data management is crucial for the reproducibility of scientific results, requiring tracking, managing, describing, and visualizing data provenance. The lack of link between data, steps, and results from computational and non-computational processes highlights the importance of end-to-end provenance management solutions like CAESAR. This framework integrates the REPRODUCE-ME provenance model to represent the entire path of a scientific experiment, ultimately enhancing reproducibility and reusability.
PEERJ COMPUTER SCIENCE
(2022)
Article
Plant Sciences
Heinrich Lukas Weil, Kevin Schneider, Marcel Tschoepe, Jonathan Bauer, Oliver Maus, Kevin Frey, Dominik Brilhaus, Cristina Martins Rodrigues, Gajendra Doniparthi, Florian Wetzels, Jonas Lukasczyk, Angela Kranz, Bjoern Gruening, David Zimmer, Stefan Dessloch, Dirk von Suchodoletz, Bjoern Usadel, Christoph Garth, Timo Muehlhaus
Summary: In modern plant research, scientists are relying more and more on research data management services and infrastructures to simplify the processes of collecting, processing, sharing, and archiving research data. The use of FAIR research data facilitates the integration of interdisciplinary knowledge and enables the comparison and synthesis of a wide range of analytical findings. PLANTdataHUB offers a solution that allows scientists to manage and utilize FAIR digital objects called ARCs, providing tools for planning, communication, collaboration, publication, and data reuse on a centralized platform.
Article
Medicine, General & Internal
Adriana Sierra, Sol Otero, Eva Rodriguez, Anna Faura, Maria Vera, Marta Riera, Vanesa Palau, Xavier Duran, Anna Costa-Garrido, Laia Sans, Eva Marquez, Vladimir Poposki, Josep Franch-Nadal, Xavier Mundet, Anna Oliveras, Marta Crespo, Julio Pascual, Clara Barrios
Summary: The GenoDiabMar registry is a prospective study providing data on demographic, biochemical, and clinical changes in type 2 diabetic patients. This study focused on the progression of renal function and cardiovascular events. It found that men had faster decline in kidney function compared to women, and identified differential risk factors for renal function deterioration between sexes.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Computer Science, Information Systems
Stan Ahalt, Paul Avillach, Rebecca Boyles, Kira Bradford, Steven Cox, Brandi Davis-Dusenbery, Robert L. Grossman, Ashok Krishnamurthy, Alisa Manning, Benedict Paten, Anthony Philippakis, Ingrid Borecki, Shu Hui Chen, Jon Kaltman, Sweta Ladwa, Chip Schwartz, Alastair Thomson, Sarah Davis, Alison Leaf, Jessica Lyons, Elizabeth Sheets, Joshua C. Bis, Matthew Conomos, Alessandro Culotti, Thomas Desain, Jack Digiovanna, Milan Domazet, Stephanie Gogarten, Alba Gutierrez-Sacristan, Tim Harris, Ben Heavner, Deepti Jain, Brian O'Connor, Kevin Osborn, Danielle Pillion, Jacob Pleiness, Ken Rice, Garrett Rupp, Arnaud Serret-Larmande, Albert Smith, Jason P. Stedman, Adrienne Stilp, Teresa Barsanti, John Cheadle, Christopher Erdmann, Brandy Farlow, Allie Gartland-Gray, Julie Hayes, Hannah Hiles, Paul Kerr, Chris Lenhardt, Tom Madden, Joanna O. Mieczkowska, Amanda Miller, Patrick Patton, Marcie Rathbun, Stephanie Suber, Joe Asare
Summary: The NHLBI BioData Catalyst (BDC) is a community-driven ecosystem developed by the National Heart, Lung, and Blood Institute. It provides researchers with access to large-scale datasets and computational resources for precision medicine research. The BDC offers secure, cloud-based workspaces, authentication and authorization systems, search functionalities, tools and workflows, and innovative features to meet the needs of the research community. It has also played a significant role in accelerating research on the COVID-19 pandemic.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2023)
Review
Biochemistry & Molecular Biology
Quentin Vanhaelen
Summary: Computational tools are valuable in addressing challenges in drug repurposing by providing support in data access, standardization, and validation methods, offering new opportunities for the pharmaceutical industry.
CURRENT MEDICINAL CHEMISTRY
(2021)
Article
Geochemistry & Geophysics
Fan Yang, Guo-Ping Hu, Kwing Lam Chan, Ken-Tao Tsang, Yong-Chun Zheng, Yi Xu, Lu Heng Sunny Yu
Summary: The microwave radiometers onboard Chang'E-1 and Chang'E-2 have shown different results in measuring lunar brightness temperatures. A recalibration model is proposed to take into account possible influences on accuracy, and successfully aligns the measurements from both explorers.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Psychology, Multidisciplinary
Dokun Oluwajana, Ibrahim Adeshola, Seyefar Clement
Summary: This study examines the factors that determine collaborative learning and subsequent student satisfaction in a web-based supported learning environment. The results suggest that students' social influence and motivation positively influence collaborative learning, leading to higher student satisfaction using a web-based supported collaborative learning platform.
CURRENT PSYCHOLOGY
(2023)
Article
Nanoscience & Nanotechnology
Jyoti Kumari, Frank A. D. T. G. Wagener, Paul H. J. Kouwer
Summary: The driving factors for fibrosis and scar formation are fibroblast differentiation and hampered myofibroblast apoptosis. This study developed a high-throughput in vitro fibrosis model using synthetic polyisocyanide hydrogels, which allowed for measuring contraction and subsequent molecular and cellular analysis. The model successfully differentiated fibroblasts and myofibroblasts and was used to test the effects of antifibrotic drugs.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Health Care Sciences & Services
Annelie K. Gusdal, Ulrika Florin, Rose-Marie Johansson-Pajala, Caroline Eklund, Johanna Fritz, Petra von Heideken Wagert
Summary: Loneliness and social isolation have negative impacts on the health and well-being of older adults. Information and communication technology can help alleviate these effects, but it must be tailored to the specific needs of older adults. This study examines the use of a co-designed web platform for social interaction by older adults, researchers, and social services personnel. The findings reveal that although the platform met the expectations of the participants and helped expand their social networks, it did not reduce their feelings of loneliness. The involvement of social services personnel was crucial in facilitating the use of the platform.
Article
Health Care Sciences & Services
Giluk Kang, Young-Gab Kim
Summary: This study implemented a more secure research platform for health care called the health care big data platform (HBDP). The HBDP uses attribute-based encryption to achieve fine-grained access control and encryption of stored eHealth data. It also provides accountability and nonrepudiation through a private blockchain.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Humanities, Multidisciplinary
Jianghua Yang, Mengzhu Zhang
Summary: This article examines the human-technology interactions in social media platforms and constructs a conceptual framework to understand digital inequality. The study finds that platform affordance has both positive and negative effects on digital inequality, weakening mechanisms of social inequality while reshaping the operation of social structural factors.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2023)
Article
Chemistry, Medicinal
Eric J. Martin, Xiang-Wei Zhu
Summary: Massively multitask bioactivity models with transfer learning show better performance when sharing models among companies, although challenges exist in protecting proprietary information. Collaboration through model sharing can enhance predictions for external compounds, but current limitations prevent widespread implementation across multiple large companies.
JOURNAL OF CHEMICAL INFORMATION AND MODELING
(2021)
Article
Computer Science, Interdisciplinary Applications
Takuya Iwanaga, Hsiao-Hsuan Wang, Serena H. Hamilton, Volker Grimm, Tomasz E. Koralewski, Alejandro Salado, Sondoss Elsawah, Saman Razavi, Jing Yang, Pierre Glynn, Jennifer Badham, Alexey Voinov, Min Chen, William E. Grant, Tarla Rai Peterson, Karin Frank, Gary Shenk, C. Michael Barton, Anthony J. Jakeman, John C. Little
Summary: System-of-systems approaches have become popular for integrated assessments, involving the integration of models from various disciplines to inform policy and decision-making processes. However, current modeling paradigms have disciplinary-specific origins, leading to inconsistencies in the conceptualization and integration of socio-environmental systems. A multidisciplinary team of researchers calls for a grand vision for holistic system-of-systems research to address major socio-environmental problems through multi-tiered collaboration.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Environmental Sciences
Beichen Zhang, Min Chen, Zaiyang Ma, Zhuo Zhang, Songshan Yue, Dawei Xiao, Zhiyi Zhu, Yongning Wen, Guonian Lu
Summary: With the continuous development of urbanization and global climate change, urban flooding risk has become a well-publicized research issue. The cooperation of multifield participants is becoming a trend, as resource sharing systems and platforms are proposed but still require a participatory environment for effective collaboration.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Urban Studies
Dongping Long, Lin Liu, Mingen Xu, Jiaxin Feng, Jianguo Chen, Li He
Summary: The study examines how ambient population and surveillance cameras impact street robbers' crime location choice from a guardianship perspective. The findings show that both ambient population and surveillance cameras play a significant role in hindering street robbers' choice of crime location, with ambient population having a greater guardianship effect than surveillance cameras. By including ambient population and surveillance cameras, the model's fitness is improved, highlighting the guardianship role of these factors in street robbers' decision-making process.
Article
Computer Science, Interdisciplinary Applications
Fengyuan Zhang, Min Chen, Albert J. Kettner, Daniel P. Ames, Quillon Harpham, Songshan Yue, Yongning Wen, Guonian Lu
Summary: This article discusses the challenges faced when sharing and reusing geo-analysis models based on different standards, and provides a solution through an interoperability engine. Case studies using various models demonstrate successful model interoperation.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Interdisciplinary Applications
Heng Li, Chunxiao Zhang, Ziwei Xiao, Min Chen, Dequan Lu, Shuhui Liu
Summary: The study proposes a geographic simulation approach with a conceptual framework, and implements a Web-based prototype system with a geo-simulation knowledge graph in Nanchong, China. The results show that the approach effectively provides geo-simulation knowledge and improves the use of models simultaneously.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Interdisciplinary Applications
Jin Wang, Min Chen, Guonian Lu, Songshan Yue, Yongning Wen, Yehua Sheng, Mingyue Lu
Summary: This article introduces a method for constructing visual conceptual scenarios in hydrological modeling, which involves designing conceptual components, rules, and dynamic interaction methods to support the visualization of modeling systems.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Environmental Sciences
Fuqiang Lu, Milan Konecny, Min Chen, Tomas Reznik
Summary: Ocean modeling and simulation play a crucial role in understanding dynamic processes in the geophysical system, with the simulation of tidal dynamics being particularly significant. This paper introduces a new longitude-latitude spherical grid coupled with rotated coordinate mapping to address existing problems in global ocean modeling, demonstrating the model's ability to support tidal dynamics simulation in the global ocean. The proposed model utilizes a finite volume method on staggered C grid for spatial approximation and third-order Adams-Bashforth method for temporal integration, showing promising results for simulating two-dimensional tidal waves in the Arctic Ocean and beyond.
Article
Environmental Sciences
Mingyue Lu, Yadong Zhang, Min Chen, Manzhu Yu, Menglong Wang
Summary: Lightning monitoring plays a crucial role in disaster prevention and mitigation. In this study, a Lightning Monitoring Residual Network (LM-ResNet) is proposed, which combines deep learning with weather radar data and land attribute data. The results show that the LM-ResNet model has significant potential in monitoring lightning locations. By converting the lightning monitoring problem into a binary classification problem and using various data, a lightning feature dataset is established. The focal loss function is adopted to handle the imbalance issue of the dataset.
Article
Construction & Building Technology
Kai Zhang, Zhen Qian, Yue Yang, Min Chen, Teng Zhong, Rui Zhu, Guonian Lv, Jinyue Yan
Summary: This study proposed an ensemble classification model based on street view images to identify urban road noise barriers, with Suzhou as a case study. The model achieved high accuracy and F1 score, demonstrating its effectiveness. The importance of obtaining RNBs attributes for sustainable urban development was illustrated through the case of photovoltaic noise barriers.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Environmental Sciences
Zhuo Sun, Zhixin Zhang, Min Chen, Zhen Qian, Min Cao, Yongning Wen
Summary: This study proposes a geospatial stratified and optimized sampling strategy based on deep learning and high-resolution satellite imagery to acquire representative samples for training deep learning models. Experimental results show that this method can effectively collect abundant and diverse samples, and achieve better performance in rooftop extraction tasks.
Article
Environmental Sciences
Zhiwei Xie, Mingliang Yuan, Fengyuan Zhang, Min Chen, Meng Tian, Lishuang Sun, Guoqing Su, Ruizhao Liu
Summary: This research proposes a method for identifying spatial structure of urban agglomerations based on complex networks using nighttime light data and railway data. The results show that this method has the highest accuracy compared to other methods. Additionally, the distribution pattern of Chinese urban agglomerations in the study area is vertical and shows an unbalanced trend in development.
Article
Geography
Wei Luo, Lingfeng He, Zihui Yang, Shirui Zhang, Yong Wang, Dianbo Liu, Sheng Hu, Li He, Jizhe Xia, Min Chen
Summary: The COVID-19 pandemic and subsequent lockdowns have severely impacted global trade, with different economies experiencing varying degrees of damage and recovery rates. This research evaluates the spatio-temporal vulnerabilities of international trade networks during the current crisis to understand global production resilience and prepare for future crises. Analysis of pre- and post-COVID-19 outbreak trade networks at various scales reveals that countries with effective COVID-19 containment, such as East Asia (particularly Mainland China), and high-income countries with rapid vaccine roll-out (e.g., the U.S.) exhibit greater resilience, while low-income countries (e.g., Africa) show higher vulnerability. The findings emphasize the need for a comprehensive strategy to enhance international trade resilience, including non-pharmaceutical measures, timely vaccine development and distribution, strong governance, robust healthcare systems, and international cooperation.
Article
Engineering, Electrical & Electronic
Min Cao, Lijiao Chang, Shangjing Ma, Zijun Zhao, Kai Wu, Xue Hu, Qiushi Gu, Guonian Lu, Min Chen
Summary: This article constructed an SDG-oriented land use simulation model and applied it to simulate land use changes in the Yangtze river delta region. The results confirm that scenario simulations of different sustainability levels are conducive to supporting the formulation of sustainable land use plans.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geography
Mingyue Lu, Xinhao Wang, Xintao Liu, Min Chen, Shuoben Bi, Yadong Zhang, Tengfei Lao
Summary: Weather radar data plays a crucial role in meteorological analysis and forecasting, and real-time 3D visualization using 3D tiles and WebGIS technology can significantly enhance its applications. A new framework is proposed in this article to achieve web-based real-time 3D visualization of large-scale weather radar data. Through data preprocessing, indexing, transformation, and 3D tile generation, the feasibility of this strategy is validated with a prototype implementation in China.
TRANSACTIONS IN GIS
(2021)
Review
Multidisciplinary Sciences
Guonian Lu, Chenghu Zhou, Hui Lin, Min Chen, Songshan Yue, Yongning Wen
Summary: The geographical system is a giant complex system, and the comprehensive study of geography is crucial for understanding the entire system. This study proposes a new method for geographic synthesis research based on geographic modal, aiming to address the challenges of traditional geographic synthesis methods and improve the overall cognition of geographical systems.
CHINESE SCIENCE BULLETIN-CHINESE
(2021)
