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Crystal structure refinement with SHELXL

Sheldrick, G. M. (2015) · Acta Crystallographica Section C Structural Chemistry

Crystal structures of chemical compoundsX-ray Diffraction in Crystallography

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Coefficient Alpha and the Internal Structure of Tests

Cronbach, L. J. (1951) · Psychometrika

Psychometric Methodologies and TestingEducational Assessment and Pedagogy

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Self-efficacy: Toward a unifying theory of behavioral change

Bandura, A. (1977) · Psychological Review

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Highly accurate protein structure prediction with AlphaFold

Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature

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PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation

Tricco, A. C., Lillie, E., Zarin, W., O'Brien, K. K., Colquhoun, H., Levac, D., Moher, D., Peters, M. D. J., Horsley, T., Weeks, L., et al. (2018) · Annals of Internal Medicine

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Collective dynamics of ‘small-world’ networks

Watts, D. J., & Strogatz, S. H. (1998) · Nature

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Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups.

Tong, A., Sainsbury, P., & Craig, J. (2007) · International Journal for Quality in Health Care

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Structural equation modeling in practice: A review and recommended two-step approach

Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin

Psychometric Methodologies and TestingStatistical Methods and Bayesian Inference

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Model selection and multimodel inference: a practical information-theoretic approach.

Guthery, F. S., Burnham, K. P., & Anderson, D. R. (2003) · The Journal of Wildlife Management

Statistical Methods and InferenceStatistical Methods and Bayesian Inference

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<tt>edgeR</tt> : a Bioconductor package for differential expression analysis of digital gene expression data

Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics

Gene expression and cancer classificationGenomics and Phylogenetic Studies

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An Introduction to the Bootstrap

Efron, B., & Tibshirani, R. J. (1994) · Chapman & Hall/CRC eBooks

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The Strength of Weak Ties

Granovetter, M. S. (1973) · American Journal of Sociology

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limma powers differential expression analyses for RNA-sequencing and microarray studies

Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research

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The Protein Data Bank

Berman, H. M. (2000) · Nucleic Acids Research

Enzyme Structure and FunctionResearch Data Management Practices

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The rise of graphene

Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials

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Regression Models and Life-Tables

Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology

Statistical Methods and InferenceStatistical Distribution Estimation and Applications

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Meta-analysis in clinical trials

DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials

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The Discovery of Grounded Theory; Strategies for Qualitative Research

Glaser, B. G., Strauss, A. L., & Strutzel, E. (1968) · Nursing Research

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ImageNet Large Scale Visual Recognition Challenge

Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al. (2015) · International Journal of Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

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Matplotlib: a 2D graphics environment

Hunter, J. D. (2007) · Computing in Science & Engineering

Computational Physics and Python ApplicationsData Visualization and Analytics

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Nonparametric Estimation from Incomplete Observations

Kaplan, E. L., & Meier, P. (1958) · Journal of the American Statistical Association

Statistical Distribution Estimation and ApplicationsProbability and Statistical Research

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Fully convolutional networks for semantic segmentation

Long, J., Shelhamer, E., & Darrell, T. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

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A new criterion for assessing discriminant validity in variance-based structural equation modeling

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science

Psychometric Methodologies and TestingStatistical Methods and Applications

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The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields

DiMaggio, P. J., & Powell, W. W. (1983) · American Sociological Review

Management and Organizational StudiesWeber, Simmel, Sociological Theory

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