Statista

Gullen, Amy; Plungis, Joan

doi:10.5260/chara.15.2.43

Cited by 9 publications

(6 citation statements)

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“…Although fresh fruits and vegetables have a high share in our daily diets, processed fruits and vegetables such as juice, canned fruit, and jam have also found their place in the food market. The global market share for juice, canned fruit, and jam is about 105 billion USD in 2021, and it is predicted to increase even more in the forthcoming years (Gullen & Plungis, 2013). Fruits and vegetables are processed with the aim of producing by‐products such as juice and jam or increasing the durability of fruits and vegetables through canning or drying (Montero‐Calderón, 2011).…”

Section: Secondary Data Reviewmentioning

confidence: 99%

Comprehensive review of water management and wastewater treatment in food processing industries in the framework of water‐food‐environment nexus

Asgharnejad

Nazloo

Larijani

et al. 2021

Comp Rev Food Sci Food Safe

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Food processing is among the greatest water-consuming industries with a significant role in the implementation of sustainable development goals. Waterconsuming industries such as food processing have become a threat to limited freshwater resources, and numerous attempts are being carried out in order to develop and apply novel approaches for water management in these industries. Studies have shown the positive impact of the new methods of process integration (e.g., water pinch, mathematical optimization, etc.) in maximizing water reuse and recycle. Applying these methods in food processing industries not only significantly supported water consumption minimization but also contributed to environmental protection by reducing wastewater generation. The methods can also increase the productivity of these industries and direct them to sustainable production. This interconnection led to a new subcategory in nexus studies known as water-food-environment nexus. The nexus assures sustainable food production with minimum freshwater consumption and minimizes the environmental destructions caused by untreated wastewater discharge. The aim of this study was to provide a thorough review of water-food-environment nexus application in food processing industries and explore the nexus from different aspects.The current study explored the process of food industries in different sectors regarding water consumption and wastewater generation, both qualitatively and quantitatively. The most recent wastewater treatment methods carried out in different food processing sectors were also reviewed. This review provided a comprehensive literature for choosing the optimum scenario of water and wastewater management in food processing industries. K E Y W O R D Scircular economy, food processing, nexus, wastewater treatment, water management INTRODUCTIONIncreased global demand for freshwater due to population growth has put the water resources under stress for the recent decades. Water scarcity is predicted to get more intensive in the forthcoming years (Piesse, 2020). Statistical data demonstrated that annual water consumption in three main different sectors of agriculture, industries, and

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Section: Secondary Data Reviewmentioning

confidence: 99%

Comprehensive review of water management and wastewater treatment in food processing industries in the framework of water‐food‐environment nexus

Asgharnejad

Nazloo

Larijani

et al. 2021

Comp Rev Food Sci Food Safe

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“…In this study, the United States Geological Survey (USGS) (Ober 2020), European Commission (Blengini et al 2020), GREET-2020 software (Wang et al 2020), Statista database (Gullen and Plungis 2021), and other studies (Rahimpour Golroudbary et al 2019, 2020 are used as the primary data sources. Figure A1 in Appendix provides details of model and data used.…”

Section: Methodsmentioning

confidence: 99%

Environmental Assessment of Global Magnesium Production

Golroudbary

Makarava

Krasławski

2022

Mineral Processing and Extractive Metallurgy Review

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Concerns about climate change call for a careful assessment of the environmental impact of the supply chain of critical materials such as magnesium (Mg) which has a broad range of applications. Enhancing the circularity of this material is vital for ensuring its sustainable use. However, systematic analysis of the sustainability of the global production of magnesium and its circularity is still missing. We propose a novel dynamic model based on geology and processing routes to quantify the key environmental concerns across the life cycle of primary and secondary magnesium.Energy consumption, water use and related emissions are assessed for recycling including functional (recovered Mg reused in the closed-loop supply chain) and nonfunctional (recovered Mg as an element used in aluminum alloys as open-loop supply chain), as well as casting and molding. Results show a significant potential contribution of circularity of magnesium to energy (up to 31 billion GJ) and water (up to 2.7 Km 3 ) savings, as well as the mitigation of greenhouse gas (GHG) emissions (up to 3 billion tonnes CO2 eq), globally. However, the analysis indicates that 87% of secondary magnesium comes from non-functional recycling. The result shows the possible increase of non-functional recycling of magnesium from 612 kt in 2020 to 1 mt in 2050, and the growth of functional recycling of magnesium from 96 kt in 2020 to 161 kt in 2050. The finding highlights the necessity for improving supply chain policies of Mg through technological developments and operational changes to ensure its sustainable circular economy.

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“…Further, the growth of the social network makes sense to calculate the social intelligence of an individual [32]. As per statista.com, about 70% of the earth's population has at least one social media account and about 3 billion monthly active social media users are there [33]. On average, every person is spending 2 h and 22 min daily on social media [34].…”

Section: Review Of Literaturementioning

confidence: 99%

Cross Intelligence Evaluation for Effective Emotional Intelligence Estimation

Alsukayti¹,

Singh²

2022

Computers, Materials &Amp; Continua

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A famous psychologist or researcher, Daniel Goleman, gave a theory on the importance of Emotional Intelligence for the success of an individual's life. Daniel Goleman quoted in the research that "The contribution of an individual's Intelligence Quotient (IQ) is only 20% for their success, the remaining 80% is due to Emotional Intelligence (EQ)". However, in the absence of a reliable technique for EQ evaluation, this factor of overall intelligence is ignored in most of the intelligence evaluation mechanisms. This research presented an analysis based on basic statistical tools along with more sophisticated deep learning tools. The proposed cross intelligence evaluation uses two different aspects which are similar, i.e., EQ and SQ to estimate EQ by using a trained model over SQ Dataset. This presented analysis ensures the resemblance between the Emotional and Social Intelligence of an Individual. The research authenticates the results over standard statistical tools and is practically inspected by deep learning tools. Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF) and Social IQ dataset are deployed over a Multi-layered Long-Short Term Memory (M-LSTM) based deep learning model for accessing the resemblance between EQ and SQ. The M-LSTM based trained deep learning model registered, the high positive resemblance between Emotional and Social Intelligence and concluded that the resemblance factor between these two is more than 99.84%. This much resemblance allows future researchers to calculate human emotional intelligence with the help of social intelligence. This flexibility also allows the use of Big Data available on social networks, to calculate the emotional intelligence of an individual.

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Statista

Cited by 9 publications

References 0 publications

Comprehensive review of water management and wastewater treatment in food processing industries in the framework of water‐food‐environment nexus

Comprehensive review of water management and wastewater treatment in food processing industries in the framework of water‐food‐environment nexus

Environmental Assessment of Global Magnesium Production

Cross Intelligence Evaluation for Effective Emotional Intelligence Estimation

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