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Waste treatment is a complex procedure that comprises multidimensional aspects. The challenges posed by the energy transition and international protocols emphasize the role of waste in its material and energy dimension. With an increasing population and li ...
Majority of industries, in order to meet the technological development and consumer demands generate waste. The untreated waste spreads out toxic and harmful substances in the environment which serves as a breeding ground for pathogenic microorganisms thus ...
Crowdsourcing could potentially have great benefits for the development of sustainable cities in the Global South (GS), where a growing population and rapid urbanization represent serious challenges for the years to come. However, to fulfill this potential ...
This thesis is the result of four years of investigation carried out as « security coordinator » of the Monteux Jazz Festival. From this operational commitment, I sought to understand : how the festival is integrated into the city ; what affects the safety ...
Assessing the impact of violent conflict on Syrian agriculture is challenging given data limitations and attributability issues. Using satellite data at 30 m spatial resolution, we found that the extent of productive cropland showed greater interannual var ...
In the context of a growing world population and the need to use limited resources responsibly, this study is motivated by the increasing pressures on the food industry, which include issues of food security, safety, and waste. In the context of a global f ...
The SARS-CoV-2 virus has altered people's lives around the world. Here we document population-wide shifts in dietary interests in 18 countries in 2020, as revealed through time series of Google search volumes. We find that during the first wave of the COVI ...
The current manufacturing trend is towards sustainability. Due to the degradation of natural resources and the accumulation of waste with an increase in the world population and in the consumption of goods, many countries attempt to switch from a linear to ...
Predictive models based on machine learning (ML) offer a compelling promise: bringing clarity and structure to complex natural and social environments. However, the use of ML poses substantial risks related to the privacy of their training data as well as ...
Polyhydroxybutyrates (PHBs) are a class of biopolymers produced by different microbial species and are biodegradable and biocompatible in nature as opposed to petrochemically derived plastics. PHBs have advanced applications in medical sector, packaging in ...
