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1581“…The last government (2014–2018) took different actions to explain how the use of data science and open data improve the business activity. …”
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1582por McCoy, Liam G., Nagaraj, Sujay, Morgado, Felipe, Harish, Vinyas, Das, Sunit, Celi, Leo Anthony“…Drawing on experiences at the University of Toronto Faculty of Medicine and MIT Critical Data’s “datathons”, the authors advocate for a dual-focused approach: combining robust data science-focused additions to baseline health research curricula and extracurricular programs to cultivate leadership in this space.…”
Publicado 2020
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1583por Feng, Jinchao, Lansford, Joshua L., Katsoulakis, Markos A., Vlachos, Dionisios G.“…Data science has primarily focused on big data, but for many physics, chemistry, and engineering applications, data are often small, correlated and, thus, low dimensional, and sourced from both computations and experiments with various levels of noise. …”
Publicado 2020
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1584“…Here, PySurf is introduced as an innovative code framework, which is specifically designed for rapid prototyping and development tasks for data science applications in computational chemistry. …”
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1585por Wu, Hao, Mao, Disheng, Zhang, Yuping, Chi, Zhiyi, Stitzel, Michael, Ouyang, Zhengqing“…The R-package for the proposed method can be found at https://github.com/Zhang-Data-Science-Research-Lab/LrSClust.…”
Publicado 2021
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1586por Seshadri, Dhruv R., Thom, Mitchell L., Harlow, Ethan R., Gabbett, Tim J., Geletka, Benjamin J., Hsu, Jeffrey J., Drummond, Colin K., Phelan, Dermot M., Voos, James E.“…This review is written for those who are interested in the application of wearable sensor data and data science to enhance performance and reduce injury burden in athletes of all ages.…”
Publicado 2021
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1587“…We also discuss how technological advances in genomics, phenomics, biotechnology, and data science can improve the ability to identify beneficial genetic variation in CWRs and to exploit it in strive for higher-yielding and sustainable crops.…”
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1588“…The interplay between an academic's gender and their scholarly output is a riveting topic at the intersection of scientometrics, data science, gender studies, and sociology. Its effects can be studied to analyze the role of gender in research productivity, tenure and promotion standards, collaboration and networks, or scientific impact, among others. …”
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1589por Papadopoulos, Vassilios, Goldman, Dana, Wang, Clay, Keller, Michele, Chen, Steven“…Knowledge gaps were pharmacists not recognizing their value on the health care team, preparation to embrace and lead change, and expertise in data science and analytics. Pharmacy schools will need to address several disruptive trends to future-proof their curricula, including expanding patient management skills, leadership and management training, technology, and data analytics.…”
Publicado 2021
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1593“…River basin cyberinfrastructure with the Internet of Things (IoT) as the core has brought watershed data science into the big data era, greatly improving data acquisition and sharing efficiency. …”
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1594“…Our model, grounded in empirical social science research on layoff, did not perform substantially worse than the best-performing model using data science techniques. This result is not fully unforeseen, given that layoff functions as a relatively exogenous shock. …”
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1595por White, Scott, Quinn, John, Enzor, Jennifer, Staats, Janet, Mosier, Sarah M., Almarode, James, Denny, Thomas N., Weinhold, Kent J., Ferrari, Guido, Chan, Cliburn“…To a large extent, this cuts domain experts off from the rapidly growing library of Single Cell Data Science algorithms available, curtailing the potential contributions of these experts to the validation and interpretation of results. …”
Publicado 2021
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1596“…This article is part of the theme issue ‘Data science approaches to infectious disease surveillance’.…”
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1597“…This article is part of the theme issue ‘Data science approaches to infectious disease surveillance’.…”
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1598“…This article is part of the theme issue ‘Data science approaches to infectious disease surveillance’.…”
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1599“…Information from past mishaps provides an opportunity to acquire insights, gather lessons learned, and systematically improve safety outcomes. Advances in data science and industry 4.0 present new unprecedented opportunities for the industry to leverage, share, and reuse safety information more efficiently. …”
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1600por Yang, Fan, Zhang, Qi, Ji, Xiaokang, Zhang, Yanchun, Li, Wentao, Peng, Shaoliang, Xue, Fuzhong“…Since drug repurposing depends on massive observed data from existing drugs and diseases, the tremendous growth of publicly available large-scale machine learning methods supplies the state-of-the-art application of data science to signaling disease, medicine, therapeutics, and identifying targets with the least error. …”
Publicado 2022
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