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Edri-Peer, Ofek & Cohen, N. (2023). Procedural Justice and the Unintended Role of Street-Level Bureaucrats in Prompting Citizens to Act as Vigilantes. The American Review of Public Administration, 53(2), 51–63. https://doi.org/10.1177/02750740221148192 Talia Goren
Goren, T., Vashdi, D. R. & Beeri, I. (2022). Count on trust: the indirect effect of trust in government on policy compliance with health behavior instructions. Policy Sciences, 55, 593–630, https://doi.org/10.1007/s11077-022-09481-3Goren, T. and Beeri, I, (2019). The agenda of municipal elected officials and public opinion in Facebook: The impact of personal and structural characteristics. Hamishpat, Special issue on Transparency and Freedom of Information Law ,25, 1–38 (In Hebrew). Maria Mahamed (Polinova)
Mahamed, M., Wittenberg, L., Kutiel, H. and Brook, A. (2023). A novel urban vegetation mapping approach for fire risk assessment: A Mediterranean case study. Urban Ecosystems, 26(5), pp.1263-1274. https://doi.org/10.1007/s11252-023-01364-6Mahamed (Polinova), M., Wittenberg, L., Kutiel, H., & Brook, A. (2022). Fire Risk Assessment on Wildland–Urban Interface and Adjoined Urban Areas: Estimation Vegetation Ignitability by Artificial Neural Network. Fire, 5, 184. https://doi.org/10.3390/ fire5060184Polinova, M., Wittenberg, L., Kutiel, H., & Brook, A. (2019) Reconstructing pre-fire vegetation condition in the wildland urban interface (WUI) using artificial neural network. Journal of environmental management, 238, 224-234.Polinova, M., Salinas, K., Bonfante, A., & Brook, A. (2019). Irrigation Optimization Under a Limited Water Supply by the Integration of Modern Approaches into Traditional Water Management on the Cotton Fields. Remote Sensing, 11(18), 2127.Brook, A., Wittenberg, L., Kopel, D., Polinova, M., Roberts, D., Ichoku, C., & Shtober‐Zisu, N. (2018). Structural heterogeneity of vegetation fire ash. Land degradation & development, 29(7), 2208-2221. Brook, A., Polinova, M., & Ben-Dor, E. (2018). Fine tuning of the SVC method for airborne hyperspectral sensors: The BRDF correction of the calibration nets targets. Remote Sensing of Environment, 204, 861-871.Polinova, M., Jarmer, T., & Brook, A. (2018). Spectral data source effect on crop state estimation by vegetation indices. Environmental Earth Sciences, 77, article number 752.Efrat Mishor
Vigoda-Gadot, E., Mizrahi, S., Cohen, N. & Mishor, E. (2023). Citizens’ reactions to global crises: a longitudinal study during the COVID-19 pandemic in Israel. SN Social Sciences, 3, article number 24 https://doi.org/10.1007/s43545-023-00610-0 Elizaveta Morozan-Sorokina
Sorokina, E., Soffer, P., Hadar, I., Leron, U., Zerbato, F., Weber, B. (2023). PEM4PPM: A Cognitive Perspective on the Process of Process Mining. In: Lecture notes in computer science. 465–481, Springer . https://doi.org/10.1007/978-3-031-41620-0_27Brenda Sbarski
Sbarski, B., & Akirav, I. (2020). Cannabinoids as therapeutics for PTSD. Pharmacology & Therapeutics, 211, 107551. https://doi.org/10.1016/j.pharmthera.2020.107551Sbarski B, Akirav I. (2018). Chronic pre-trauma exposure to cannabinoids may have negative effects on emotional function. European Neuropsychopharmacology. 28, 955-969.Ryan Shandler
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Tener, F., and Lanir, J. (2024). Devising a High-Level Command Language for the Teleoperation of Autonomous Vehicles. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2024.2359224Tener, F., and Lanir, J. (2024). Investigating intervention road scenarios for teleoperation of autonomous vehicles. Multimedia Tools and Applications, 83(21), 61103–61119. https://doi.org/10.1007/s11042-023-17851-zTener, F., & Lanir, J. (2023, September). Design of a High-Level Guidance User Interface for Teleoperation of Autonomous Vehicles. In Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 287-290). https://doi.org/10.1145/3581961.3609845Tener, F., and Lanir, J. (2022). Driving from a Distance: Challenges and Guidelines for Autonomous Vehicle Teleoperation Interfaces. CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, Article No.: 250, 1–13 . https://doi.org/10.1145/3491102.3501827 