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The UK has a growing problem in the fast and unsustainable accumulation of Waste Electrical and Electronic Equipment, causing a wide range of negative environmental and social impacts. The UK repair economy, by its nature, is a complex system involving an interplay of legislative (i.e., policy, law, regulation), social (i.e., education, health, wellbeing), economic (i.e., fiscal, business models, supply chains) and environmental aspects (i.e., materials and energy use, greenhouse gas emissions), and stakeholders (i.e., citizens, educators, repair professionals, producers, waste processors, policymakers) at a range of scales (i.e., local, national, and global). Growing a successful UK repair economy can help tackle many negative environmental and social impacts including reducing electronic waste, material consumption, mitigating supply chain risk, and regional inequality. To do this, the needs and interactions of stakeholders at local, national and global level should be supported via coordinated policy and regulation initiatives. This article takes a systems approach to understanding the UK repair economy, identifying key policy and regulatory aspects and opportunities for action and development across global, national, and local contexts to help it grow. [ABSTRACT FROM AUTHOR]

The UK has a growing problem in the fast and unsustainable accumulation of Waste Electrical and Electronic Equipment, causing a wide range of negative environmental and social impacts. The UK repair economy, by its nature, is a complex system involving an interplay of legislative (i.e., policy, law, regulation), social (i.e., education, health, wellbeing), economic (i.e., fiscal, business models, supply chains) and environmental aspects (i.e., materials and energy use, greenhouse gas emissions), and stakeholders (i.e., citizens, educators, repair professionals, producers, waste processors, policymakers) at a range of scales (i.e., local, national, and global). Growing a successful UK repair economy can help tackle many negative environmental and social impacts including reducing electronic waste, material consumption, mitigating supply chain risk, and regional inequality. To do this, the needs and interactions of stakeholders at local, national and global level should be supported via coordinated policy and regulation initiatives. This article takes a systems approach to understanding the UK repair economy, identifying key policy and regulatory aspects and opportunities for action and development across global, national, and local contexts to help it grow.

The paradigm of the Next Generation cellular network (6G) and beyond is machine-type communications (MTCs), where numerous Internet of Things (IoT) devices operate autonomously without human intervention over wireless channels. IoT's autonomous and energy-intensive characteristics highlight effective energy efficiency (EEE) as a crucial key performance indicator (KPI) of 6G. However, there is a lack of investigation on the EEE of random arrival traffic, which is the underlying platform for MTCs. In this work, we explore the distinct characteristics of F -composite fading channels, which specify the combined impact of multipath fading and shadowing. Furthermore, we evaluate the EEE over such fading under a finite blocklength regime and QoS constraints where IoT applications generate constant and sporadic traffic. We consider a point-to-point buffer-aided communication system model, where (1) an uplink transmission under a finite blocklength regime is examined; (2) we make realistic assumptions regarding the perfect channel state information (CSI) available at the receiver, and the channel is characterized by the F -composite fading model; and (3) due to its effectiveness and tractability, application data are found to have an average arrival rate calculated using Markovian sources models. To this end, we derive an exact closed-form expression for outage probability and the effective rate, which provides an accurate approximation for our analysis. Moreover, we determine the arrival and required service rates that satisfy the QoS constraints by applying effective bandwidth and capacity theories. The EEE is shown to be quasiconcave, with a trade-off between the transmit power and the rate for maximising the EEE. Measuring the impact of transmission power or rate individually is quite complex, but this complexity is further intensified when both variables are considered simultaneously. Thus, we formulate power allocation (PA) and rate allocation (RA) optimisation problems individually and jointly to maximise the EEE under a QoS constraint and solve such a problem numerically through a particle swarm optimization (PSO) algorithm. Finally, we examine the EEE performance in the context of line-of-sight and shadowing parameters. [ABSTRACT FROM AUTHOR]

Repair is one of the main strategies to extend the lifetime of products in the circular economy framework. With the aim of identifying current consumer practices toward the purchase, use, and end of life of electric and electronic equipment (EEE), including willingness to repair, maintenance, and final disposal, a survey is designed and implemented online, taking kettles as an application case. Regarding current strategies for extending the lifespan of these items, a general lack of maintenance and low levels of reparability or reuse have been detected. Disposal patterns show that nearly half of all kettles disposed of were still functioning. Nevertheless, a future willingness to repair these items has been identified, either by users themselves or at repair centers, if the manufacturer provides the means to do so. Finally, the results reveal that when consumers purchase a kettle, the price and then the energy efficiency score are the main priorities affecting their purchasing decisions, taking priority over the reparability score. These results can help in the design of more focused and direct strategies to promote the reparability of small household appliances, encourage the authorities to regulate the new reparability score in a more efficient way, and improve the way that information is transmitted to users/consumers. [ABSTRACT FROM AUTHOR]

The paradigm of the Next Generation cellular network (6G) and beyond is machine-type communications (MTCs), where numerous Internet of Things (IoT) devices operate autonomously without human intervention over wireless channels. IoT’s autonomous and energy-intensive characteristics highlight effective energy efficiency (EEE) as a crucial key performance indicator (KPI) of 6G. However, there is a lack of investigation on the EEE of random arrival traffic, which is the underlying platform for MTCs. In this work, we explore the distinct characteristics of F-composite fading channels, which specify the combined impact of multipath fading and shadowing. Furthermore, we evaluate the EEE over such fading under a finite blocklength regime and QoS constraints where IoT applications generate constant and sporadic traffic. We consider a point-to-point buffer-aided communication system model, where (1) an uplink transmission under a finite blocklength regime is examined; (2) we make realistic assumptions regarding the perfect channel state information (CSI) available at the receiver, and the channel is characterized by the F-composite fading model; and (3) due to its effectiveness and tractability, application data are found to have an average arrival rate calculated using Markovian sources models. To this end, we derive an exact closed-form expression for outage probability and the effective rate, which provides an accurate approximation for our analysis. Moreover, we determine the arrival and required service rates that satisfy the QoS constraints by applying effective bandwidth and capacity theories. The EEE is shown to be quasiconcave, with a trade-off between the transmit power and the rate for maximising the EEE. Measuring the impact of transmission power or rate individually is quite complex, but this complexity is further intensified when both variables are considered simultaneously. Thus, we formulate power allocation (PA) and rate allocation (RA) optimisation problems individually and jointly to maximise the EEE under a QoS constraint and solve such a problem numerically through a particle swarm optimization (PSO) algorithm. Finally, we examine the EEE performance in the context of line-of-sight and shadowing parameters.

In this paper, panel data from 30 provinces in China from 1999 to 2019 were selected. In using empirical research based on a two-way fixed effects model, this paper explores the impact of market segmentation on energy efficiency in electric power industry (EEE) and explores how the impact varies under different traffic accessibility levels. The results of study show that: Firstly, market segmentation inhibits the improvement of EEE. Secondly, traffic infrastructure has a positive moderating effect on EEE, that is, the more developed the traffic infrastructure is, the weaker the inhibiting effect of market segmentation on EEE is. Thirdly, empirical research methods based on a two-way fixed effects model is more accurate and reliable in measuring the impact of market segmentation on EEE. Such a method is an extension of traditional EEE analysis models. From the perspective of EEE, this paper discusses the moderating effects of transportation infrastructure development in the context of market segmentation, providing a theoretical foundation and decision-making basis for improving EEE.

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Abstract E-waste is the world’s fastest growing and most valuable domestic waste stream. The increasing production of e-waste is driving elevated levels of export from developed to developing countries. Although countries worldwide are actively recognising the issues around e-waste and introducing policies, legislation or regulations governing e-waste, a large fraction of e-waste, goes undocumented at its end-of-life. Much of the global e-waste is accumulating in open dumpsites in several African countries. Using available data, we calculate the total e-waste in Africa (locally produced plus imported e-waste) for 2019 to be between 5.8 and 3.4 metric tonnes (Mt). This is believed to be an underestimate, large data gaps exist, hindering more precise estimates. The data is further complicated by, sometimes intentional, differences in labelling and reporting between formal and intermittent informal importers. Based on the available data, the main African recipients of e-waste are Nigeria, Ghana, and Tanzania, with Kenya, Senegal and Egypt featuring as countries of concern. The lack of proper waste management in the recipient developing countries, leads to environmental contamination and human exposure. A coordinated, regional and global, approach is needed in tackling e-waste. Regulatory frameworks, together with monitoring and compliance mechanisms need to be developed, financed, and enforced.

The Extreme Energy Events (EEE) 'telescope' is made by 3 Multigap Resistive Plate Chambers (MRPC), each with an active area of 158x82 cm 2 in size. Each detector is part of a large network of about sixty telescopes spread over the Italian territory. Due to the good tracking capabilities (100 ps time resolution and cm 2 spatial resolution) the EEE telescope can be used also as test station for large area detectors. The link between the EEE track and signals from the detector under test can be obtained by implementing a streaming DAQ with a common time reference between the two systems given by the GPS signal. The installation and first results of the cosmic muon test facility with the EEE MRPC telescope based on the low-cost, streaming-compatible 12 channels, 250MHz, 14 bits digitizer (INFN-WaveBoard or WB) developed by the JLAB12 Collaboration, is presented. [ABSTRACT FROM AUTHOR]

Due to the rapid development in electronic industries and high consumer demand, electrical and electronic equipment have a shorter lifetime in developed and developing countries markets, leading to tons of electronic waste. The waste Printed circuit board (PCBs) contain many valuable metals like gold and copper and hazardous materials like lead. Therefore, recycling the metallic and non-metallic fractions from waste PCBs using environmentally friendly and suitable sustainable resource utilization techniques is in high demand. In this direction, nanotechnology has also been recently used to recover base metals, toxic metals, and precious metals in different sizes and morphologies. This study provides an up-to-date review of research on recovering high added value (HAV) materials from various electronic waste components. These include high purity metals, nanoparticles, nanostructured alloys, nanocomposites, high purity ultrafine particles, and microfibers. It also includes the properties investigated and the potential applications of the obtained HAV products in fields such as wastewater treatment, detection of incessant pollutants, biomedicine, and catalysis. Current challenges faced in scaling up the e-waste derived nanoproducts manufacturing are also discussed in the concluding remarks. • Various electronic waste devices have different compositions. • Wastes can be used as primary materials for fabrication of value-added products such as nanoparticles. • Nanomaterials have been recovered from electronic waste. • High added value products find commercial applications. [ABSTRACT FROM AUTHOR]