Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Yusuf, Hassan"'
Publikováno v:
Cogent Economics & Finance, Vol 12, Iss 1 (2024)
This study investigates the interplay between renewable energy Consumption, urbanization, and carbon emissions in Somalia, a region facing pressing environmental challenges. The study uses advanced econometric techniques like the ARDL model to uncove
Externí odkaz:
https://doaj.org/article/b9c8774c04724cd5823786b4d293cd8d
Publikováno v:
Cogent Food & Agriculture, Vol 10, Iss 1 (2024)
This study, conducted using the Autoregressive Distributed Lag (ARDL) technique and Cointegration analysis, explores the dynamic impacts of economic and environmental factors on agricultural productivity in Somalia, spanning from 1990 to 2023. This s
Externí odkaz:
https://doaj.org/article/7352afe8648f42ef9cbb9ad6eddd817d
Autor:
Ali Yusuf Hassan, Mohamed Abdukadir Mohamed, Mohamed Abdirahman Ahmed, Mahad Abdiwali Mohamed, Bashir Mohamed Osman
Publikováno v:
International Journal of Energy Economics and Policy, Vol 14, Iss 6 (2024)
This research investigates the intricate relationships between agriculture, renewable energy, economic growth, and carbon dioxide (CO2) emissions in Somalia from 1991 to 2022. This study uses the Autoregressive Distributed Lag (ARDL) model and Grange
Externí odkaz:
https://doaj.org/article/2074c44c36994f489159549ee6aa7d34
Autor:
Muhammad Bashar Jibril, Mohammed Nasir Sambo, Hadiza Sulaiman, Hassan Shuaibu Musa, Abubakar Musa, Zaharaddeen Babandi Shuaibu, Lawal Aminu, Yusuf Hassan Wada, Aliko Ahmed
Publikováno v:
BMC Primary Care, Vol 25, Iss 1, Pp 1-13 (2024)
Abstract Background Client satisfaction is a multidimensional construct focusing on clients’ perceptions and evaluations of the treatment and care received. It is one of the factors affecting the outcomes of healthcare and the use of health service
Externí odkaz:
https://doaj.org/article/2324ce4927574e1593c1ba24f545e12d
Publikováno v:
International Journal of Energy Economics and Policy, Vol 14, Iss 5 (2024)
In this study, we investigated the role of the urban population and energy consumption on environmental degradation in Somalia. The study used the ARDL model and Granger causality test with time-series data from 1989 to 2021. The study found that inc
Externí odkaz:
https://doaj.org/article/8755bc64e32c4ef6b9c30e9b82b57435
Publikováno v:
International Journal of Energy Economics and Policy, Vol 14, Iss 5 (2024)
Throughout human history, there has been a clear connection between pollution and the economy. However, the relationship between environmental harm and economic progress is complex, and disagreements between various academic disciplines have made it
Externí odkaz:
https://doaj.org/article/d628f5d6a496488a8517ea2084772e13
Autor:
Mohamed Abdelrahman Mohamed, Nuralein Yusuf Hassan, Marian Muse Osman, Saido Gedi, Bisma Abdullahi Ali Maalin, Kasim Mahdi Sultan, Bashiru Garba, Ali Abdirahman Osman, Abdinasir Yusuf Osman, Abdifatah Diriye Ahmed
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background Dengue has become an alarming global problem and is endemic in many countries, particularly in tropical and subtropical countries. The aim of this study was to investigate dengue fever outbreak in Banadir Region, Somalia, to under
Externí odkaz:
https://doaj.org/article/d61558893f414e79b119b2111a4eae99
Autor:
Yusuf, Hassan Muhammad, Yusuf, Sahabi Ali, Abubakar, Amina Hassan, Abdullahi, Mohammed, Hassan, Ibrahim Hayatu
Publikováno v:
In Franklin Open September 2024 8
Autor:
Azazkhan Ibrahimkhan Pathan, Lariyah Bte Mohd Sidek, Hidayah Bte Basri, Muhammad Yusuf Hassan, Muhammad Izzat Azhar Bin Khebir, Siti Mariam Binti Allias Omar, Mohd Hazri bin Moh Khambali, Adrián Morales Torres, Ali Najah Ahmed
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 7, Pp 102854- (2024)
Machine learning (ML) techniques are rapidly emerging as effective tools in predicting complex hydrological processes. The present study aims to comparatively assess the efficacy of four machine learning algorithms – Multi-Layer Perceptron (MLP), E
Externí odkaz:
https://doaj.org/article/787bb521a3954146ae384159b8011d76
Autor:
Mohamed Yusuf Hassan
Publikováno v:
IEEE Access, Vol 12, Pp 56642-56651 (2024)
The pace in the development and adoption of the new technologies for bigdata analytics has changed dramatically over the last several decades, and the amount of data being digitally ingested and stored is expanding exponentially and rapidly. These da
Externí odkaz:
https://doaj.org/article/675dc68c78b647d89298dcba44a76d4b