Zobrazeno 1 - 10
of 1 053
pro vyhledávání: '"Sanaei P"'
Autor:
Sanaei, Mohammadamin, Gilbert, Stephen B., Javadpour, Nikoo, Sabouni, Hila, Dorneich, Michael C., Kelly, Jonathan W.
This investigation examined the relationships among scene complexity, workload, presence, and cybersickness in virtual reality (VR) environments. Numerous factors can influence the overall VR experience, and existing research on this matter is not ye
Externí odkaz:
http://arxiv.org/abs/2403.19019
Autor:
Salehi, Masoud, Javadpour, Nikoo, Beisner, Brietta, Sanaei, Mohammadamin, Gilbert, Stephen B.
Despite the widespread adoption of Virtual Reality (VR) technology, cybersickness remains a barrier for some users. This research investigates head movement patterns as a novel physiological marker for cybersickness detection. Unlike traditional mark
Externí odkaz:
http://arxiv.org/abs/2402.02725
Autor:
Sanaei, Fariba
Publikováno v:
2023 AMA Winter Academic Conference Proceedings
The paper proposes a conceptual model of how different perceived levels of experiential AR application features have effects on customer experience, and in turn their satisfaction and purchase behavior. In addition, it put forward the mediation role
Externí odkaz:
http://arxiv.org/abs/2401.10953
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background When utilized as an adjunct with antidepressants, antipsychotics, and other psychopharmacological drugs, certain amino acids, such as L-Theanine (LT), have shown potential effectiveness in enhancing the symptomatic outcomes of pat
Externí odkaz:
https://doaj.org/article/e4b6569d55e94a0daf0a1d534fd469d6
Publikováno v:
پژوهشنامه مدیریت حوزه آبخیز, Vol 15, Iss 2, Pp 154-168 (2024)
Extended Abstract Background: Decreasing or increasing diversity affects a community’s sustainability because biodiversity in any living community determines its specific function, and on the other hand, sustainability is considered the ability of
Externí odkaz:
https://doaj.org/article/835286f217cb481184e46bc41b360446
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background Coronary Slow Flow Phenomenon (CSFP) is a well-recognized clinical entity characterized by delayed opacification of coronary arteries in the presence of a normal coronary angiogram. The objective of this study was determined and c
Externí odkaz:
https://doaj.org/article/918e4da754184417b446b5d5b57a90eb
Autor:
Ali Afgar, Mahdiyeh Ramezani Zadeh Kermani, Athareh Pabarja, Amir Reza Afgar, Batoul Kavyani, Hossein Arezoomand, Saeed Zanganeh, Mohammad Javad Sanaei, Mahla Sattarzadeh Bardsiri, Reza Vahidi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract This investigation delves into the influence of predicted microRNAs on DNA methyltransferases (DNMTs) and the PODXL gene within the NB4 cell line, aiming to elucidate their roles in the pathogenesis of acute myeloid leukemia (AML). A compreh
Externí odkaz:
https://doaj.org/article/326231482dfd474a82b02c425fd897f1
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
This research introduces an innovative model to enhance power quality within electrical networks interconnected with photovoltaic (PV) sources. The central concern addressed in this study revolves around the impact of PV source power quality on local
Externí odkaz:
https://doaj.org/article/4a8f2a4d420649f6b7c49370a595fe5f
Autor:
Seyedeh Sedigheh Hamzavi, Alireza Askari, Rosemina Bahrololoom, Maral Mokhtari, Anahita Sanaei Dashti, Fatemeh Yarmahmoodi, Somaye Rashidi
Publikováno v:
BMC Pediatrics, Vol 24, Iss 1, Pp 1-6 (2024)
Abstract Background Cherubism is known as a very rare autosomal dominant familial disorder of childhood caused by a mutation in the SH3BP2 gene on 4p16.3. It has not yet been observed at birth and is usually diagnosed in children aged 2–7. Here, we
Externí odkaz:
https://doaj.org/article/5f9ddeffd12e4a9abf05452a9158463b
Autor:
Houriyeh Ehtemam, Shabnam Sadeghi Esfahlani, Alireza Sanaei, Mohammad Mehdi Ghaemi, Sadrieh Hajesmaeel-Gohari, Rohaneh Rahimisadegh, Kambiz Bahaadinbeigy, Fahimeh Ghasemian, Hassan Shirvani
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-29 (2024)
Abstract Objective Suicide is a complex and multifactorial public health problem. Understanding and addressing the various factors associated with suicide is crucial for prevention and intervention efforts. Machine learning (ML) could enhance the pre
Externí odkaz:
https://doaj.org/article/21ebd884460e46d68aaedcf51c103ccf