Cancer is one of the most common families of diseases today with millions of new patients every year around the world. Bladder cancer (BC) is one of the most prevalent types of cancer affecting both genders, and it is not known to be associated with a specific group in the population. The current treatment standard for BC follows a standard weekly Bacillus Calmette–Guérin (BCG) immunotherapy-based therapy protocol which includes BCG and IL-2 injections. Unfortunately, due to the biological and clinical complexity of the interactions between the immune system, treatment, and cancer cells, clinical outcomes vary significantly among patients. Unfortunately, existing models are commonly developed for a non-existing average patient or pose strict, unrealistic, expectations on the treatment process. In this work, we propose the most extensive ordinary differential equation-based biological model of BCG treatment to date and a deep learning-based scheduling approach to obtain a personalized treatment schedule. Our results show that resulting treatment schedules favorably compare with the current standard practices and the current state-of-the-art scheduling approach.
Collaboration among scholars has emerged as a significant characteristic of contemporary science. As a result, the number of authors listed in publications continues to rise steadily. Unfortunately, determining the authors to be included in the byline and their respective order entails multiple difficulties which often lead to conflicts. Despite the large volume of literature about conflicts in academia, it remains unclear how exactly these are distributed over the main socio-demographic properties, as well as the different types of interactions academics experience. To address this gap, we conducted an international and cross-disciplinary survey answered by 752 academics from 41 fields of research and 93 countries that statistically well-represent the overall academic workforce. Our findings are concerning and suggest that conflicts over authorship credit arise very early in one's academic career, even at the level of Master and Ph.D., and become increasingly common over time.
The article is devoted to the analysis of written language of adolescents and young people with hearing impairment in the virtual space. The study involved 28 people, aged 16 to 20 years, 14 of them were with hearing impairments. 3 people at the age of 16 years old, 9 people are 17 years old, 4 people are 18 years old. The first part of the study was conducted as online questionnaires, which was aimed to clarify preferred virtual spaces for communication, the attitude to the written communication, also creative tasks for evaluation of written language developed by O.V. Vilenskaya was included. The second part consisted of analysis of the contents of the social network profile of the participants. The results have shown that the written language of deaf adolescents and young people in social networks reflected the general features of their verbal communication and social relations (in general, they use less detailed written statements than hearing peers do, less actually initiated written language, less flexible writing, less partners for communication in social networks, the prevalence of consistency errors). Nevertheless, it is significant that they appreciate the importance of writing and try to monitor its accuracy. Virtual communication in the life of young people with hearing impairments plays the same role as in the life of hearing peers and they successfully master this side of modern reality.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.