Galaxy bias in the era of LSST: perturbative bias expansions by Nicola, A, Hadzhiyska, B, Findlay, N, García-García, C, Alonso, D, Slosar, A, Guo, Z, Kokron, N, Angulo, R, Aviles, A, Blazek, J, Dunkley, J, Jain, B, Pellejero, M, Sullivan, J, Walter, CW, Zennaro, M

Visual bias by Caprini, G

“…I develop a visual vocabulary and use a dictionary approach to analyze around 300,000 photos published in US news in 2020. I document that the visual language of US media is politically partisan and significantly polarised, to an extent comparable to the text partisanship in the same news pieces. …”

Media bias in Singapore in 2011 by Lee, Matthew Wenjun, Michell Devina Ngan, Park So Jin

“…In this paper, we studied whether the media reporting of Parliamentary Seatings by The Straits Times, Singapore’s highest selling paper, favoured certain Members-of-Parliament in articles published by the aforementioned paper in 2011 where the Opposition was elected to Parliament. …”
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A scoping review of cognitive bias in internet addiction and internet gaming disorders by Chia, Doris X. Y., Zhang, Melvyn

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Perspectives on modifying attentional biases amongst individuals with tobacco use disorder using technology : a review by Tan, Yi Zhuang, Zhang, Melvyn Weibin B., Choo, Carol C.

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Systematic bias in trait attributions for deceased friends and relatives by Galang, Adrianne John Real, Ellescas, Bianca Ysabel C., Santos, Jan Marie E., Locsin, Maria Aisha V., Sy, Keena Mayumi D.

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Personality traits bias the perceived quality of sonic environments by Lindborg, PerMagnus, Friberg, Anders

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Decoding Codon Bias: The Role of tRNA Modifications in Tissue-Specific Translation by Ando, Daisuke, Rashad, Sherif, Begley, Thomas J., Endo, Hidenori, Aoki, Masashi, Dedon, Peter C., Niizuma, Kuniyasu

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Numerical study of DC-biased AC-electrokinetic flow over symmetrical electrodes by Ng, Wee Yang, Ramos, Antonio, Lam, Yee Cheong, Rodriguez, Isabel

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Why federated learning will do little to overcome the deeply embedded biases in clinical medicine by Sauer, Christopher Martin, Pucher, Gernot, Celi, Leo Anthony

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A New Variational Method for Bias Correction and Its Applications to Rodent Brain Extraction by Chang, Huibin, Huang, Weimin, Wu, Chunlin, Huang, Su, Guan, Cuntai, Sekar, Sakthivel, Bhakoo, Kishore Kumar, Duan, Yuping

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Metacognitive bias resulting from trade-off between local and global motion signals by Lee, Alan L. F., Yabuki, Hana, Lee, Isaac C. L., Or, Charles C.-F.

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Tropical Pacific SST and ITCZ biases in climate models : double trouble for future rainfall projections? by Samanta, Dhrubajyoti, Karnauskas, Kristopher B., Goodkin, Nathalie F.

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Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review by Birdi, Sharon, Rabet, Roxana, Durant, Steve, Patel, Atushi, Vosoughi, Tina, Shergill, Mahek, Costanian, Christy, Ziegler, Carolyn P., Ali, Shehzad, Buckeridge, David, Ghassemi, Marzyeh, Gibson, Jennifer, John-Baptiste, Ava, Macklin, Jillian, McCradden, Melissa, McKenzie, Kwame

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Biased competition between Lgr5 intestinal stem cells driven by oncogenic mutation induces clonal expansion by Snippert, Hugo J., Schepers, Arnout G., van Es, Johan H., Simons, Benjamin D., Clevers, Hans

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Caveat emptor, computational social science: Large-scale missing data in a widely-published Reddit corpus by Gaffney, Devin, Matias, J. Nathan

“…On July 2, 2015, Jason Baumgartner published a dataset advertised to include “every publicly available Reddit comment” which was quickly shared on Bittorrent and the Internet Archive. …”
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Enhancing Landsat image based aboveground biomass estimation of black locust with scale bias-corrected LiDAR AGB map and stratified sampling by Qin, Shuhong, Wang, Hong, Li, Xiuneng, Gao, Jay, Jin, Jiaxin, Li, Yongtao, Lu, Jinbo, Meng, Pengyu, Sun, Jing, Song, Zhenglin, Donev, Petar, Ma, Zhangfeng

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Measuring social desirability bias in a multi-ethnic cohort sample: its relationship with self-reported physical activity, dietary habits, and factor structure by Teh, Wen Lin, Abdin, Edimansyah, P. V., Asharani, Siva Kumar, Fiona Devi, Roystonn, Kumarasan, Wang, Peizhi, Shafie, Saleha, Chang, Sherilyn, Jeyagurunathan, Anitha, Vaingankar, Janhavi Ajit, Sum, Chee Fang, Lee, Eng Sing, van Dam, Rob M., Subramaniam, Mythily

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Ambiguity Aversion and Household Portfolio Choice Puzzles: Empirical Evidence by Dimmock, Stephen Geoffrey, Kouwenberg, Roy, Mitchell, Olivia S., Peijnenburg, Kim

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Critical appraisal of machine learning prognostic models for acute pancreatitis: protocol for a systematic review by Hassan, Amier, Critelli, Brian, Lahooti, Ila, Lahooti, Ali, Matzko, Nate, Adams, Jan Niklas, Liss, Lukas, Quion, Justin, Restrepo, David, Nikahd, Melica, Culp, Stacey, Noh, Lydia, Tong, Kathleen, Park, Jun Sung, Akshintala, Venkata, Windsor, John A., Mull, Nikhil K., Papachristou, Georgios I., Celi, Leo Anthony, Lee, Peter J.

“…Each year, an increasing number of AP models are being published. However, their methodologic quality relating to transparent reporting and risk of bias in study design has never been systematically appraised. …”
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