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Federico Carbone,Jean-Pierre Després,John P A Ioannidis et al. Federico Carbone et al.
Moreover, the socio-economic drivers of obesity and its transition across phenotypes remain poorly understood.
Danish A Ahmed,Ronaldo Sousa,Alejandro Bortolus et al. Danish A Ahmed et al.
Biological invasions and human migrations have increased globally due to socio-economic drivers and environmental factors that have enhanced cultural, economic, and geographic connectivity.
Chelsie Cintron,Madolyn Rose Dauphinais,Xinyi Du et al. Chelsie Cintron et al.
By advancing poverty metrics in TB studies, the global community can better address socio-economic drivers of TB and prioritize pro-poor interventions, fostering equitable health outcomes.
Aznarul Islam,Bhanu Kumar Mandal,Biplab Sarkar et al. Aznarul Islam et al.
Thus, the rapid agricultural land transformation into inland aquaculture has been discussed from the perspective of push factors of geo-environmental hazards such as riverine floods, stagnation of water and riverbank migration, and pull factors of socio-economic drivers such as higher benefit-cost ratio
Faria Rauf Ria,Md Muhitul Alam,Md Azad Uddin et al. Faria Rauf Ria et al.
This paper examines the current state of food insecurity in Bangladesh and its socio-economic drivers using data from the latest Household Income and Expenditure Survey (HIES 2022).
Ebrahim Mohammed,Mesfin Tewodros,Tamene Lulseged et al. Ebrahim Mohammed et al.
Wheat (Triticum aestivum L.) is crucial for global food security and a staple crop in Ethiopia, yet farmer yields remain low, averaging 2.7 t ha⁻1 compared to over 5 t ha⁻1 at research stations. This study investigates the impact of socio...
Haizhi Luo,Yiwen Zhang,Zhengguang Liu et al. Haizhi Luo et al.
Point source carbon emissions account for approximately 80 % of total emissions. Investigating the influence of land use and socio-economic indicators on these emissions is crucial for achieving sustainable development goals. Existing resea...
Liting Yin,Wei Zheng,Honghua Shi et al. Liting Yin et al.
A deep learning-based model was established to simplify the estimation of pollution fluxes into the sea, with socio-economic drivers and meteorological data as input variables. A method for estimating the contribution rate of pollution fluxes from different spatial gradient was proposed.
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