Optimizing Myocardial Protection in Minimally Invasive Cardiac Surgeries: A Network Comparison of Del Nido, Histidine-Tryptophan-Ketoglutarate, and Blood Cardioplegia.

Autor: Al-Hasan-Al-Saegh, Sadeq¹ (AUTHOR) al-saegh.sadeq@mh-hannover.de, Takemoto, Sho² (AUTHOR), Benenati, Stefano³ (AUTHOR), Shafiei, Saeed⁴ (AUTHOR), Yavuz, Senol⁵ (AUTHOR), Galli, Mattia⁶ (AUTHOR), Helms, Florian¹ (AUTHOR), Amanov, Lukman¹ (AUTHOR), De Manna, Nunzio Davide¹ (AUTHOR), Torabi, Saeed⁷ (AUTHOR), Karsten, Jan⁸ (AUTHOR), Schmitto, Jan Dieter¹ (AUTHOR), Ius, Fabio¹ (AUTHOR), Kaufeld, Tim¹ (AUTHOR), Salman, Jawad¹ (AUTHOR), Popov, Aron-Frederik¹ (AUTHOR), Schmack, Bastian¹ (AUTHOR), Ruhparwar, Arjang¹ (AUTHOR), Zubarevich, Alina¹ (AUTHOR), Weymann, Alexander¹ (AUTHOR)

Publikováno v: Journal of Clinical Medicine. Nov2024, Vol. 13 Issue 22, p6977. 16p.

AI-Based Investigation and Mitigation of Rain Effect on Channel Performance With Aid of a Novel 3D Slot Array Antenna Design for High Throughput Satellite System

Autor: Ali M. Al-Saegh, Fatma Taher, Taha A. Elwi, Mohammad Alibakhshikenari, Bal S. Virdee, Osama Abdullah, Salahuddin Khan, Patrizia Livreri, Abdulmajeed Al-Jumaily, Mohamed Fathy Abo Sree, Arkan Mousa Majeed, Lida Kouhalvandi, Zaid A. Abdul Hassain, Giovanni Pau

Publikováno v: IEEE Access, Vol 12, Pp 29926-29939 (2024)

Rain attenuation poses a significant challenge for high-throughput communication systems. In response, this paper introduces an artificial intelligence (AI) model designed for predicting and mitigating rain-induced impairments in high-throughput sate

Externí odkaz: https://doaj.org/article/11f01fb5f1a94cf7a41f564640818f2c

Comparison of Deterministic, Stochastic, and Energy-Data-Driven Occupancy Models for Building Stock Energy Simulation

Autor: Salam Al-Saegh, Farhang Tahmasebi, Rui Tang, Dejan Mumovic

Publikováno v: Buildings, Vol 14, Iss 9, p 2933 (2024)

Accurate modelling of occupancy patterns is critical for reliable estimation of building stock energy demand, which is a key input for the design of district energy systems. Aiming to investigate the suitability of different occupancy-modelling appro

Externí odkaz: https://doaj.org/article/89abac5f4f84485b8b0e9ddede2009b2

Strengthening evidence to inform health systems: opportunities for the WHO and partners to accelerate progress on non-communicable diseases

Autor: J Jaime Miranda, Liming Li, Adnan A Hyder, Salim S Virani, Bente Mikkelsen, Robert Marten, Srinath Reddy, Ishu Kataria, Rachel Nugent, Tiina Laatikainen, Sarah Rylance, Yodi Mahendradhata, Richard Sullivan, Valery Feigin, Valery L Feigin, Mayowa Owolabi, K Srinath Reddy, Abeer Al Saegh, Liming Lee

Publikováno v: BMJ Global Health, Vol 8, Iss 11 (2023)

Externí odkaz: https://doaj.org/article/ad82ce39baa04d158e1d182626e54f6a

Unsupervised machine learning technique for classifying production zones in unconventional reservoirs

Autor: Karrar A. Abbas, Amir Gharavi, Noor A. Hindi, Mohamed Hassan, Hala Y. Alhosin, Jebraeel Gholinezhad, Hesam Ghoochaninejad, Hossein Barati, James Buick, Paria Yousefi, Reham Alasmar, Salam Al-Saegh

Publikováno v: International Journal of Intelligent Networks, Vol 4, Iss , Pp 29-37 (2023)

Significant amounts of information are rapidly increasing in bulk as a consequence of the rapid development of unconventional tight reservoirs. The geomechanical and petrophysical characteristics of the wellbore rocks influence the sweet and non-swee

Externí odkaz: https://doaj.org/article/2c6618a810344dc88d828a5d352f90e2