Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Ali Akbar Jamali"'
Publikováno v:
JMIR Formative Research, Vol 8, p e49562 (2024)
BackgroundDuring the pandemic, patients with dementia were identified as a vulnerable population. X (formerly Twitter) became an important source of information for people seeking updates on COVID-19, and, therefore, identifying posts (formerly tweet
Externí odkaz:
https://doaj.org/article/f9bb6289919d46a8b2e6ae7d65ac317d
Publikováno v:
Current Research in Behavioral Sciences, Vol 7, Iss , Pp 100157- (2024)
Depression has profound personal, societal, and economic impacts. Leveraging advances in technology can help identify predictors of depression. In this study, we compared seven machine learning (ML) algorithms to identify depression predictors using
Externí odkaz:
https://doaj.org/article/c94f7d7e9fa44e81b1488c24d9d29203
Autor:
Songtang He, Hongfei Yang, Xiaoqing Chen, Daojie Wang, Yongming Lin, Zengli Pei, Yong Li, Ali Akbar Jamali
Publikováno v:
Ecological Indicators, Vol 158, Iss , Pp 111335- (2024)
Debris flow waste-shoal land (DFWSL) is a new type of ecosystem in ecologically fragile areas of debris flows that is extremely sensitive to natural and anthropogenic disturbances. Existing studies have focused on the availability and utilization of
Externí odkaz:
https://doaj.org/article/a81686254c874d9b950c6fcff0c42b1a
Autor:
Abdolhosain Salehi Servak, Ali Almodaresi, Saed Abolghasem Merhosaeni, Masod Sheshbor, Ali Akbar Jamali, Abdolhosein Kangazian
Publikováno v:
آب و فاضلاب, Vol 32, Iss 1, Pp 106-124 (2021)
Given the increasing consumption of potable water in the world, efforts to adopt new solutions for the obtainment of the right amount of desirable water is essential. One of the chief issues facing the majority of industries including water industry
Externí odkaz:
https://doaj.org/article/e7d00c4dbff2481aa0738a4ac1fa3285
Publikováno v:
جغرافیا و آمایش شهری منطقهای, Vol 10, Iss 36, Pp 21-36 (2020)
In recent years, Iranian rural community has faced many challenges, including water scarcity, unemployment and migration. Successful implementation of natural resource projects can solve a lot of problems for villagers. In the other hand, successful
Externí odkaz:
https://doaj.org/article/de7e320ecaf14c679469fc0b8ab9a10e
Publikováno v:
BioImpacts, Vol 10, Iss 2, Pp 97-104 (2020)
Introduction: Drug-drug interactions (DDIs) are the main causes of the adverse drug reactions and the nature of the functional and molecular complexity of drugs behavior in the human body make DDIs hard to prevent and threat. With the aid of new tech
Externí odkaz:
https://doaj.org/article/9781252ddb11495daa82d6dcc1bfe027
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0270852 (2022)
Computational drug repositioning aims to identify potential applications of existing drugs for the treatment of diseases for which they were not designed. This approach can considerably accelerate the traditional drug discovery process by decreasing
Externí odkaz:
https://doaj.org/article/0737015366994109aaf7632c315a8ab4
Publikováno v:
مخاطرات محیط طبیعی, Vol 8, Iss 22, Pp 1-18 (2019)
Geographically, the studied region in Ilam dam watershed is between 46°16'36'' to 46°38'32'' eastern longitude and 33°23'27'' to 33°38'54'' northern latitude. The area of case study is 476.5km2 with the highest and lowest height as 2400 m and 640
Externí odkaz:
https://doaj.org/article/37e015eb0d804763993b2cdc4c23bebf
Autor:
Mohammad Amin Goudarzi, Ali Akbar Jamali, Atefeh jafarpoor, Atefeh Gholami, Masoud Jafari Shalamzari
Publikováno v:
Environmental Resources Research, Vol 7, Iss 1, Pp 9-19 (2019)
Soil erosion is a global challenge, seriously threatening soil and water resources andenvironmental qualities. One of the important factors to consider in the process of runoffgeneration and soil erosion is the physical and chemical properties of soi
Externí odkaz:
https://doaj.org/article/67518c01c8fa4fb9ae74c2765ca4e9a4
Publikováno v:
Desert, Vol 21, Iss 1, Pp 76-90 (2016)
In the present study, in order to calculate the movement of sand dunes in the period between 2001 and 2010, the ASTER (Advanced Space-borne Thermal Emission and Reflection Radiometer) images were used. The training samples were obtained from the fiel
Externí odkaz:
https://doaj.org/article/a183b0a0083b4127abbcd09e9d065011