1. Garcia-Sifuentes, Y., Maney, D.L. Reporting and misreporting of sex differences in the biological sciences // Elife, 2021, Vol. 10, # 1, e70817 p. doi:10.7554/ eLife.70817 2. Klein, S.L. et al. Sex inclusion in basic research drives discovery // Proceedings of the National Academy of Sciences, 2015, Vol. 112, # 17, pp. 5257–5258. doi:10.1073/pnas.1502843112 3. Joel, D., McCarthy, M.M. Incorporating Sex As a Biological Variable in Neuropsychiatric Research: Where Are We Now and Where Should We Be? // Neuropsychopharmacology, 2017, Vol. 42, # 2, pp. 379–385. doi:10.1038/npp. 2016.79 4. de Vries, G.J., Forger, N.G. Sex differences in the brain: a whole body perspective // Biology of Sex Differences, 2015, Vol. 6, # 1, 15 p. doi:10.1186/s13293-015-0032-z 5. Vanston, J.E., Strother, L. Sex differences in the human visual system // Journal of Neuroscience Research, 2017, Vol. 95, # 1–2, pp. 617–625. doi:10.1002/jnr.23895 6. Brabyn, L.B., McGuinness, D. Gender differences in response to spatial frequency and stimulus orientation // Perception and Psychophysics, 1979, Vol. 26, # 4, pp. 319–324. doi:10.3758/bf03199887 7. Abramov, I., Gordon, J., Feldman, O., Chavarga, A. Sex and vision I: Spatio-temporal resolution // Biology of Sex Differences, 2012, Vol. 3, # 1, 20 p. doi:10.1186/2042-6410-3-20 8. Kuehni, R.G. Determination of unique hues using Munsell colour chips // Colour Research and Application, 2001, Vol. 26, # 1, pp. 61–66. doi:10.1002/1520-6378(200102)26:1<61:: AID-COL8>3.0.CO;2–7 9. Abramov, I., Gordon, J., Feldman, O., Chavarga, A. Sex and vision II: colour appearance of monochromatic lights // Biology of Sex Differences, 2012, Vol. 3, # 1, 21 p. doi:10.1186/2042-6410-3-21 10. Jameson, K.A., Highnote, S.M., Wasserman, L.M. Richer colour experience in observers with multiple photopigment opsin genes // Psychonomic Bulletin and Review, 2001, Vol. 8, # 2, pp. 244–261. doi:10.3758/bf03196159 11. Rodríguez-Carmona, M., Sharpe, L.T., Harlow, J.A., Barbur, J.L. Sex-related differences in chromatic sensitivity // Visual Neuroscience, 2008, Vol. 25, # 3, pp. 433–440. doi:10.1017/s095252380808019x 12. Jordan, G., Deeb, S.S., Bosten, J.M., Mollon, J.D. The dimensionality of colour vision in carriers of anomalous trichromacy // Journal of Vision, 2010, Vol. 10, # 8, 12 p. doi:10.1167/10.8.12 13. Nagy, A.L., MacLeod, D.I., Heyneman, N.E., Eisner, A. Four cone pigments in women heterozygous for colour deficiency // Journal of the Optical Society of America, 1981, Vol. 71, # 6, pp. 719–722. doi:10.1364/JOSA.71.000719 14. Jordan, G., Mollon, J.D. A study of women heterozygous for colour deficiencies // Vision Research, 1993, Vol. 33, # 11, pp. 1495–1508. doi:10.1016/0042-6989(93)90143-K 15. Hurlbert, A.C., Ling, Y. Biological components of sex differences in colour preference // Current Biology, 2007, Vol. 17, # 16, pp. R623-R625. doi:10.1016/j.cub.2007.06.022 16. Shields, S. Functionalism, Darwinism, and the Psychology of Women: A Study in Social Myth // American Psychologist, 1975, Vol. 30, # 7, pp. 739–754. doi:10.1037/h0076948 17. Wierenga, L.M. et al. A Key Characteristic of Sex Differences in the Developing Brain: Greater Variability in Brain Structure of Boys than Girls // Cerebral Cortex, 2017, Vol. 28, # 8, pp. 2741–2751. doi:10.1093/cercor/bhx154 18. Arden, R., Plomin, R. Sex differences in variance of intelligence across childhood // Personality and Individual Differences, 2006, Vol. 41, # 1, pp. 39–48. doi:10.1016/j.paid.2005.11.027 19. Johnson, W., Carothers, A., Deary, I.J. Sex Differences in Variability in General Intelligence: A New Look at the Old Question // Perspectives on Psychological Science, 2008, Vol. 3, # 6, pp. 518–531. doi:10.1111/j.1745-6924.2008.00096.x 20. Lehre, A.-C., Lehre, K.P., Laake, P., Danbolt, N.C. Greater intrasex phenotype variability in males than in females is a fundamental aspect of the gender differences in humans // Developmental Psychobiology, 2009, Vol. 51, # 2, pp. 198–206. doi:10.1002/dev.20358 21. Borkenau, P., McCrae, R.R., Terracciano, A. Do men vary more than women in personality? A study in 51 cultures // Journal of Research in Personality, 2013, Vol. 47, # 2, pp. 135–144. doi:10.1016/j.jrp.2012.12.001 22. Hyde, J.S. Gender Similarities and Differences // Annual Review of Psychology, 2014, Vol. 65, pp. 373–398. doi:10.1146/annurev-psych-010213-115057 23. Baye, A., Monseur, C. Gender differences in variability and extreme scores in an international context // Large-scale Assessments in Education, 2016, Vol. 4, # 1, 1 p. doi:10.1186/s40536-015-0015-x 24. Hedges, L.V., Nowell, A. Sex Differences in Mental Test Scores, Variability, and Numbers of High-Scoring Individuals // Science, 1995, Vol. 269, # 5220, pp. 41–45. doi:10.1126/science.7604277 25. Summers, V. Sex differences in number of X chromosomes and X-chromosome inactivation in females promote greater variability in hearing among males // Biology of Sex Differences, 2022, Vol. 13, # 1, 35 p. doi:10.1186/s13293-022-00457-9 26. Neitz, J., Neitz, M. The genetics of normal and defective colour vision // Vision Research, 2011, Vol. 51, # 7, pp. 633–651. doi:10.1016/j.visres.2010.12.002 27. Helson, H., Lansford, T. The Role of Spectral Energy of Source and Background Colour in the Pleasantness of Object Colours // Applied Optics, 1970, Vol. 9, # 7, pp. 1513–1562. doi:10.1364/AO.9.001513 28. Averchenkov, V.I., Kondratenko, S.V., Potapov, L.A., Spasennikov, V.V. A Mathematical Model of the Colour Preference Scale Construction in Quality Management at the Machine-Building Enterprise // Journal of Physics: Conference Series, 2017, Vol. 803, # 1, 012010 p. doi:10.1088/1742-6596/803/1/012010 29. Hallock, J. Colour Assignment, 2003, URL: https:// www.joehallock.com/?page_id=1281# 30. Farnsworth, D. The Farnsworth-Munsell 100-Hue and Dichotomous Tests for Colour Vision // Journal of the Optical Society of America, 1943, Vol. 33, # 10, pp. 568–578. doi:10.1364/JOSA.33.000568 31. Li, Z. et al. A methodological validation of psychophysical approaches for quantifying the colour discrimination capability of white light sources // Colour Research and Application, 2022, Vol. 47, # 6, pp. 1392–1401. doi:10.1002/col.22826 32. Liu, Y. et al. Optimising colour preference and colour discrimination for jeans under 5500 K light sources with different Duv values // Optik, 2020, Vol. 208, 163916 p. doi:10.1016/j.ijleo.2019.163916 33. Esposito, T., Houser, K. A new measure of colour discrimination for LEDs and other light sources // Lighting Research and Technology, 2019, Vol. 51, # 1, pp. 5–23. doi:10.1177/1477153517729200 34. Königs, S., Mayr, S., Buchner, A. A common type of commercially available LED light source allows for colour discrimination performance at a level comparable to halogen lighting // Ergonomics, 2019, Vol. 62, # 11, pp. 1462–1473. doi:10.1080/00140139.2019.1663940 35. Pardo, P.J., Suero, M.I., Perez, A.L., Martinez-Borreguero, G. Optimization of the correlated colour temperature of a light source for a better colour discrimination // Journal of the Optical Society of America A, 2014, Vol. 31, # 4, pp. A121-A124. doi:10.1364/JOSAA.31.00A121 36. Liu, Q. et al. The Impact of Correlated Colour Temperature of LED Light Source on Colour Discrimination // China Illuminating Engineering Journal, 2015, Vol. 26, # 3, pp. 41–46. 37. Liu, Y. et al. Extending the colour discrimination metric with consideration of illuminance level // Optics Letters, 2022, Vol. 47, # 8, pp. 1851–1854. doi:10.1364/OL.454786 38. Huang, Z. et al. Light dominates colour preference when correlated colour temperature differs // Lighting Research and Technology, 2018, Vol. 50, # 7, pp. 995–1012. doi:10.1177/1477153517713542 39. Huang, Z. et al. Best lighting for jeans, part 1: Optimising colour preference and colour discrimination with multiple correlated colour temperatures // Lighting Research and Technology, 2019, Vol. 51, # 8, pp. 1208–1223. doi:10.1177/1477153518816125 40. Huang, Z. et al. White lighting and colour preference, Part 1: Correlation analysis and metrics validation // Lighting Research and Technology, 2020, Vol. 52, # 1, pp. 5–22. doi:10.1177/1477153518824789 41. Wang, Y. et al. Interactive effect of illuminance and correlated colour temperature on colour preference and degree of white light sensation for Chinese observers // Optik, 2020, Vol. 224, 165675 p. doi:10.1016/j.ijleo.2020.165675 42. Liu, Q. et al. A Field Study of the Impact of Indoor Lighting on Visual Perception and Cognitive Performance in Classroom // Applied Sciences, 2020, Vol. 10, # 21, 7436 p. doi:10.3390/app10217436 43. Huang, Z. et al. Gender Difference in Colour Preference of Lighting: A Pilot Study // Light & Engineering, 2020, Vol. 28, # 4, pp. 111–122. doi:10.33383/2019-100 44. Chen, W. et al. The impact of illuminance level, correlated colour temperature and viewing background on the purchase intention for bread and cakes // Food Quality and Preference, 2022, Vol. 98, 104537 p. doi:10.1016/j.foodqual.2022.104537 45. Mayr, S., Maja, K., Buchner, A. Comparing colour discrimination and proofreading performance under compact fluorescent and halogen lamp lighting // Ergonomics, 2013, Vol. 56, # 9, pp. 1418–1429. doi:10.1080/0014 0139.2013.819940 46. Boyce, P.R. Illuminance, lamp type and performance on a colour discrimination task // Lighting Research and Technology, 1976, Vol. 8, # 4, pp. 195–199. doi:10.1177/14771535760080040401 47. Boyce, P.R., Simons, R.H. Hue discrimination and light sources // Lighting Research and Technology, 1977, Vol. 9, # 3, pp. 125–140. doi:10.1177/096032717700900301 48. Khanh, T., Bodrogi, P., Vinh, Q., Guo, X., Anh, T. Colour preference, naturalness, vividness and colour quality metrics, Part 4: Experiments with still life arrangements at different correlated colour temperatures // Lighting Research and Technology, 2018, Vol. 50, # 6, pp. 862–879. doi:10.1177/1477153517700705 49. Chen, W. et al. Evaluating the colour preference of lighting: the light booth matters // Optics Express, 2020, Vol. 28, # 10, pp. 14874–14883. doi:10.1364/OE.390353 50. Hyde, J.S., Lindberg, S.M., Linn, M.C., Ellis, A.B., Williams, C.C. Gender Similarities Characterize Math Performance // Science, 2008, Vol. 321, # 5888, pp. 494–495. doi:10.1126/science.1160364 51. Lindberg, S.M., Hyde, J.S., Petersen, J.L., Linn, M.C. New trends in gender and mathematics performance: a meta-analysis // Psychological Bulletin, 2010, Vol. 136, # 6, pp. 1123–1135. doi:10.1037/a0021276 52. Thöni, C., Volk, S. Converging evidence for greater male variability in time, risk, and social preferences // Proceedings of the National Academy of Sciences, 2021, Vol. 118, # 8, e2026112118 p. doi:10.1073/pnas.2026112118 53. Ritchie, S.J. et al. Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants // Cerebral Cortex, 2018, Vol. 28, # 8, pp. 2959–2975. doi:10.1093/cercor/bhy109 54. Wierenga, L.M. et al. Greater male than female variability in regional brain structure across the lifespan // Human Brain Mapping, 2022, Vol. 43, # 1, pp. 470–499. doi:10.1002/hbm.25204 55. Else-Quest, N., Hyde, J., Goldsmith, H., Van Hulle, C. Gender Differences in Temperament: A Meta-Analysis // Psychological Bulletin, 2006, Vol. 132, # 1, pp. 33–72. doi:10.1037/0033-2909.132.1.33 56. Li, J., Hu, L., Huang, Y., Wang, T., Shao, R. A Study of Healthy Lighting for Learning Performance and Visual Fatigue in School-Aged Children with Reading and Writing Tasks // Light & Engineering, 2025, Vol. 33, # 1, pp. 6–14. doi:10.33383/2024-077 57. Wang, T., Hu, W., Wang, Y., Li, J., Liu, Y. Visual Perception and Alertness in Dependence on CCT for LED Lighting in Classroom [in Russian] // Light & Engineering 2025, Vol. 33, # 1, pp. 15–20. doi:10.33383/2024-058 58. Arnold, A.P. The organizational – activational hypothesis as the foundation for a unified theory of sexual differentiation of all mammalian tissues // Hormones and Behavior, 2009, Vol. 55, # 5, pp. 570–578. doi:10.1016/j.yhbeh.2009.03.011 59. Joel, D. et al. Sex beyond the genitalia: The human brain mosaic // Proceedings of the National Academy of Sciences, 2015, Vol. 112, # 50, pp. 15468–15473. doi:10.1073/pnas.1509654112 60. McCarthy, M.M., Arnold, A.P. Reframing sexual differentiation of the brain // Nature Neuroscience, 2011, Vol. 14, # 6, pp. 677–683. doi:10.1038/nn.2834 61. Tian, B. et al. Assessment of colour preference, purchase intention and sexual attractiveness of lipstick colours under multiple lighting conditions // Frontiers in Neuroscience, 2023, Vol. 17, 1280270 p. doi:10.3389/fnins.2023.1280270
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