Zobrazeno 1 - 10
of 5 658
pro vyhledávání: '"P. Salameh"'
Autor:
K. Chamoun, F. Hajj Moussa Lteif, P. Salameh, H. Sacre, R. Haddad, L. Rabbaa, B. Megarbane, A. Hajj
Publikováno v:
European Psychiatry, Vol 67, Pp S99-S99 (2024)
Introduction Opioid Use Disorder (OUD) is a severe and recurrent condition that contributes to a global prevalence of disabilities. Accumulating evidence suggests a potential convergence of clinical and genetic factors underlying OUD. Objectives Th
Externí odkaz:
https://doaj.org/article/9de369d8504d453dbadf8db35b7c9ade
Alcohol and Sedative Use Disorders in the Lebanese Population: Role of Sleep and Psychiatric Factors
Autor:
K. Chamoun, N. Wehbe, P. Salameh, H. Sacre, M. Atallah, J. Mouawad, L. Rabbaa, B. Megarbane, A. Hajj
Publikováno v:
European Psychiatry, Vol 67, Pp S131-S132 (2024)
Introduction Alcohol and sedative substance use disorders are escalating global public health challenges. Lebanon has grappled with multiple crises, including economic, healthcare, and social issues. Objectives This study aimed to assess the correl
Externí odkaz:
https://doaj.org/article/a3031a22f7e147ef9dbb401b8e852518
Publikováno v:
European Psychiatry, Vol 67, Pp S115-S115 (2024)
Introduction Opioid use disorder (OUD) is a significant public health concern, and understanding the risk factors associated with OUD is crucial for effective prevention and management strategies. However, limited information is available regarding t
Externí odkaz:
https://doaj.org/article/93cdc141b712460a9f91f401a358eec8
Autor:
R. Khoury, R. Hachem, P. Salameh, H. Sacre, M. Bedran, L. Rabbaa, G. Chahine, J. Kattan, F. Nasr, A. Hajj
Publikováno v:
European Psychiatry, Vol 67, Pp S202-S203 (2024)
Introduction Numerous studies have explored the symptoms and course of depression and anxiety in breast cancer patients and identified various clinical, sociodemographic, and genetic factors associated with their evolution. Nevertheless, these studie
Externí odkaz:
https://doaj.org/article/a99db52f87974ecba747a0e885dcb6b1
Publikováno v:
The Egyptian Journal of Internal Medicine, Vol 35, Iss 1, Pp 1-8 (2023)
Abstract Background Chronic obstructive pulmonary disease (COPD) is currently one of the leading causes of death worldwide, with 90% of these deaths reported in low- and middle-income countries. In Lebanon, the prevalence of COPD is 9.7%. The Global
Externí odkaz:
https://doaj.org/article/cebcd7329fe745318285e3cc8bada3f9
One key challenge to video restoration is to model the transition dynamics of video frames governed by motion. In this work, we propose TURTLE to learn the truncated causal history model for efficient and high-performing video restoration. Unlike tra
Externí odkaz:
http://arxiv.org/abs/2410.03936
Autor:
Jiang, Liyao, Hassanpour, Negar, Salameh, Mohammad, Singamsetti, Mohan Sai, Sun, Fengyu, Lu, Wei, Niu, Di
Text-to-image (T2I) diffusion models have demonstrated impressive capabilities in generating high-quality images given a text prompt. However, ensuring the prompt-image alignment remains a considerable challenge, i.e., generating images that faithful
Externí odkaz:
http://arxiv.org/abs/2408.11706
Autor:
Samadi, Mohammadreza, Han, Fred X., Salameh, Mohammad, Wu, Hao, Sun, Fengyu, Zhou, Chunhua, Niu, Di
Diffusion models have demonstrated strong performance in generative tasks, making them ideal candidates for image editing. Recent studies highlight their ability to apply desired edits effectively by following textual instructions, yet two key challe
Externí odkaz:
http://arxiv.org/abs/2408.08495
Autor:
Gusarov, Nikolay, Mandal, Rajesh, Salameh, Issa, Holzman, Itamar, Kvatinsky, Shahar, Ivry, Yachin
The rapid-pace growing demand for high-performance computation and big-data manipulation entails substantial increase in global power consumption, and challenging thermal management. Thus, there is a need in allocating competitive alternatives for co
Externí odkaz:
http://arxiv.org/abs/2405.18309
This paper addresses the challenge of learning to recite the Quran for non-Arabic speakers. We explore the possibility of crowdsourcing a carefully annotated Quranic dataset, on top of which AI models can be built to simplify the learning process. In
Externí odkaz:
http://arxiv.org/abs/2405.02675