Zobrazeno 1 - 10
of 12 722
pro vyhledávání: '"Albani"'
Autor:
Albani GFAA, Abdelgadir WI, Mohamed AAA, Yousif M, Mustafa AMA, Almkiy EAA, Mohammed KZM, Mohamed EAS, Alghamdi FAA, Ahmed RG, Hakami MSA, Dinar NA, Alsulami A, Mudawi AIA, Ahmed WAM
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 17, Pp 1065-1077 (2024)
Galal Faisal Abdulqader Abdulla Albani,1 Widad Ibrahim Abdelgadir,2,3 Amal Abdelgadir Ali Mohamed,4 Magda Yousif,5 Amna Mohammed Ali Mustafa,6 Egbal Abbashar Algmair Almkiy,7,8 Khadiga Z M Mohammed,4,9 Eman Ahmed Saad Mohamed,7 Fahad Abdullah A Algha
Externí odkaz:
https://doaj.org/article/0beee4ad7ed143aa9def0b2274310b1e
Publikováno v:
Jurnal Teknik Sipil dan Perencanaan, Vol 25, Iss 1, Pp 100-106 (2023)
Irrigation construction project work is a type of project that has a relatively high risk potential compared to other project work. The development of construction projects in Indonesia can be seen from the use of new methods and technologies as well
Externí odkaz:
https://doaj.org/article/9f17c8cb9cad4ebc9e60a73f95306f84
Autor:
Albani de Barros
Publikováno v:
Serviço Social & Sociedade, Vol 146, Iss 3 (2023)
Resumo: Este artigo propõe-se a analisar o recente fenômeno do crowdsourcing, que se apresenta como um novo estatuto mistificador entre a terceirização e a informalidade, a partir da ação coletiva. Trata-se de uma massa humana que não atua sob
Externí odkaz:
https://doaj.org/article/61261f3506994a5295af718b0b357520
Publikováno v:
Advances in Medical Education and Practice, Vol Volume 14, Pp 157-166 (2023)
Guan Hui Tricia Lim, Ritika Devendra Gera, Fady Hany Kamel, Vikram Ajit Rajan Thirupathirajan, Somar Albani, Rima Chakrabarti UCL Medical School, University College London, London, UKCorrespondence: Rima Chakrabarti, Email r.chakrabarti@ucl.ac.ukBack
Externí odkaz:
https://doaj.org/article/dc84086373fc41deb3801ad7d30cd856
Matching clients and therapist based on demographic variables might enhance therapeutic outcomes. Even so, research in this field is still inconclusive and not much is known about same-gender client therapist dyads in the context of cognitive behavio
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A90889
https://tud.qucosa.de/api/qucosa%3A90889/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A90889/attachment/ATT-0/
The present study was conducted with the aim of constructing and validating a short form of the Profile of Mood States (POMS). The POMS is a widely-applied measure for the assessment of an individual’s mood. Thus, it is of great relevance for many
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A84447
https://ul.qucosa.de/api/qucosa%3A84447/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A84447/attachment/ATT-0/
Recently non-linear control methods like Model Predictive Control (MPC) and Reinforcement Learning (RL) have attracted increased interest in the quadrotor control community. In contrast to classic control methods like cascaded PID controllers, MPC an
Externí odkaz:
http://arxiv.org/abs/2404.07837
Autor:
Enrique Arciniegas, Luz Marina Carrillo, Héctor Rojas, Jacinto Pineda, Richard Ramírez, Oscar Reyes, Marina Chopite, Albani Rocheta
Publikováno v:
Scars, Burns & Healing, Vol 7 (2021)
Introduction: Pyogenic granuloma (PG) is a reactive inflammatory vascular lesion of the skin and mucous membranes, characterised by the presence of enlarged venules and seamed and seamless capillaries with plump endothelial cells (EC), and numerous m
Externí odkaz:
https://doaj.org/article/5a939ed4cb694dcab6d71880215d3cec
Autor:
Schmalbach, Ileana, Schmalbach, Bjarne, Zenger, Markus, Berth, Hendrik, Albani, Cornelia, Petrowski, Katja, Brähler, Elmar
The Body Image Questionnaire-20 (FKB-20) is one of the most applied self-report measures in the context of body image assessment in German-speaking regions. A version of the FKB-20 capturing an ideal concept of body image is also available. A special
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A84185
https://ul.qucosa.de/api/qucosa%3A84185/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A84185/attachment/ATT-0/
Learning-based methods, particularly Reinforcement Learning (RL), hold great promise for streamlining deployment, enhancing performance, and achieving generalization in the control of autonomous multirotor aerial vehicles. Deep RL has been able to co
Externí odkaz:
http://arxiv.org/abs/2311.13081