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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.

Extreme Energy Events (EEE) is an extended Cosmic Rays (CRs) Observatory, composed of about 60 tracking telescopes spread over more than 10 degrees in Latitude and Longitude. We present the metrological characterization of a representative set of actually installed EEE GPS receivers, their calibration and their comparison with respect to dual-frequency receivers for timing applications, as well as plans for a transportable measurement system to calibrate the currently deployed GPS receivers. Finally, the realization of an INRIM Laboratory dedicated to EEE, aimed at hosting reference telescopes and allowing timing studies for Particle Physics/Astrophysics experiments, is presented, as well as the possibility of synchronizing already deployed telescopes utilizing White Rabbit Technique, over optical fiber links, directly with the Universal Time Coordinated time scale, as realized by INRIM (UTC(IT)). [ABSTRACT FROM AUTHOR]

Eastern equine encephalitis virus (EEEV) is a mosquito borne alphavirus spread primarily in Atlantic and Gulf Coast regions of the United States. EEEV is the causative agent of a devastating meningoencephalitis syndrome, with approximately 30% mortality and significant morbidity. There is no licensed human vaccine against EEEV. An inactivated EEEV vaccine has been offered under investigational new drug (IND) protocols at the United States Army Medical Research Institute of Infectious Diseases (USAMRIID) since 1976. Healthy at-risk laboratory personnel received inactivated PE-6 strain EEEV (TSI-GSD 104) vaccine under two separate IND protocols. Protocol FY 99–11 (2002–2008) had a primary series consisting of doses on day 0, 7, and 28. Protocol FY 06–31 (2008–2016) utilized a primary series with doses on day 0 and 28, and month 6. Participants with an inadequate immune response, plaque reduction neutralization test with 80% cut-off (PRNT80) titer < 40, received booster vaccination. Volunteers with prior EEEV vaccination were eligible to enroll for booster doses based on annual titer evaluation. The FY06-31 dosing schema resulted in significantly greater post-primary series immune response (PRNT80 ≥ 40) rates (84% vs 54%) and geometric mean titers (184.1 vs 39.4). The FY 06–31 dosing schema also resulted in significantly greater cumulative annual immune response rates from 1 to up to 7 years post vaccination (75% vs 59%) and geometric mean of titers (60.1 vs 43.0). The majority of probably or definitely related adverse events were mild and local; there were no probably or definitely related serious adverse events. Inactivated PE-6 EEEV vaccine is safe and immunogenic in at-risk laboratory personnel. A prolonged primary series, with month 6 dose, significantly improved vaccine immunogenicity both post-primary series and longitudinally on annual titers. Despite decades of safe use under IND, full licensure is not planned due to manufacturing constraints, and ongoing development of alternatives. [ABSTRACT FROM AUTHOR]

Eastern equine encephalitis (EEE) is a rare and potentially fatal neuroinvasive disease with a high mortality rate of > 30%. It is an uncommon vector-borne illness, with an average of 8 cases reported in the United States annually. Alarmingly, in 2019 alone, the Centers for Disease Control and Prevention (CDC) confirmed 38 cases of EEE virus in the United States, reported from 10 states. In this report, we describe a 42-year-old man who worked primarily in wooded areas and presented to a hospital in southern New Jersey with an intractable headache and global facial paraesthesia. He reported multiple tick bites in the weeks prior to his presentation. Based on high clinical suspicion, cerebrospinal samples were sent to the CDC, which confirmed the diagnosis of EEE. The patient was treated with supportive care, and, after spending 9 days on mechanical ventilation in the intensive care unit, he was extubated and subsequently had some improvement of his symptoms with the implementation of an extensive physical therapy program. We hope this report will contribute to increasing awareness among the public health and medical communities regarding the increasing number of EEE cases and the importance of following prevention measures, especially in areas with high prevalence and early recognition of the disease for treatment. [ABSTRACT FROM AUTHOR]

Linear material flows dominate in the Swedish manufacturing industry, and knowledge on remanufacturing as a value-retention process remains limited. Today, only a limited amount of electrical and electronic equipment (EEE) for consumer goods (that are acquired for personal use), such as laptops and mobile phones, are remanufactured in Sweden. More support is needed to enhance the remanufacturization (a shift towards remanufacturing) of manufacturing industries by targeting manufacturers that have prerequisites and/or show interest in implementing remanufacturing on their products (later called developing remanufacturing industries). One way to support the developing remanufacturing industries could be by providing a tool to assesses manufacturers' potential with remanufacturing. The aim of this paper is to introduce such a tool, called the Remometer™, and to present this approach to measure a company's remanufacturing readiness level (RRL). The data was collected through a literature study and semi-structured interviews to fulfill the aim of this paper. The authors' research on lean remanufacturing, in collaboration with EEE, automotive, heavy equipment and machinery manufacturers, service/maintenance providers and retailers, laid the basis for developing the Remometer™ tool. By assessing 15 subjects shared between four critical to remanufacturing areas, namely, business model, production system, product and customer, manufacturers can measure their remanufacturing readiness level and a gap towards a world-class remanufacturer. However, neither RRL nor a gap is a purpose of the Remometer™ tool, but a useful measure to communicate to top managers on a manufacturer's potential to become more circular through remanufacturing. Remometer™ is developed to support the remanufacturization of a Swedish EEE manufacturer of consumer goods and can be applied at other developing remanufacturing industries. [ABSTRACT FROM AUTHOR]

Malware detection is in a coevolutionary arms race where the attackers and defenders are constantly seeking advantage. This arms race is asymmetric: detection is harder and more expensive than evasion. White hats must be conservative to avoid false positives when searching for malicious behaviour. We seek to redress this imbalance. Most of the time, black hats need only make incremental changes to evade them. On occasion, white hats make a disruptive move and find a new technique that forces black hats to work harder. Examples include system calls, signatures and machine learning. We present a method, called Hothouse, that combines simulation and search to accelerate the white hat’s ability to counter the black hat’s incremental moves, thereby forcing black hats to perform disruptive moves more often. To realise Hothouse, we evolve EEE, an entropy-based polymorphic packer for Windows executables. Playing the role of a black hat, EEE uses evolutionary computation to disrupt the creation of malware signatures. We enter EEE into the detection arms race with VirusTotal, the most prominent cloud service for running anti-virus tools on software. During our 6 month study, we continually improved EEE in response to VirusTotal, eventually learning a packer that produces packed malware whose evasiveness goes from an initial 51.8% median to 19.6%. We report both how well VirusTotal learns to detect EEE-packed binaries and how well VirusTotal forgets in order to reduce false positives. VirusTotal’s tools learn and forget fast, actually in about 3 days. We also show where VirusTotal focuses its detection efforts, by analysing EEE’s variants.

La encefalitis equina del oeste (EEO) --al igual que las encefalomielitis del este (EEE) y venezolana (EEV)-- es una infección viral zoonótica que se transmite por mosquitos vectores. Su notificación debe ser inmediata y obligatoria. A pesar del nombre que se le ha dado, el caballo es sólo un huésped incidental. La manifestación clínica de las tres encefalitis es muy similar, por lo que se requiere de una correcta toma y envío de muestras al laboratorio para lograr un diagnóstico diferencial. Los ciclos de infección se presentan de dos formas: enzoótica, en la que el virus permanece por largos períodos circulando entre los huéspedes reservorios y el vector transmisor; y epizoótica, que involucra a los huéspedes incidentales y a los vectores transmisores. Los principales signos en caballos son alteración del comportamiento, dificultad visual, deambulación, caminata en círculos, dificultad en la deglución, ataxia, paresia, parálisis y convulsiones. No existe tratamiento, por lo que su manejo se enfoca a la terapia de soporte, con un pronóstico desfavorable, ya que la tasa de mortalidad (dependiendo de la encefalitis de la que se trate) puede llegar al 90%. La EEV es endémica en México y es la que presenta más riesgo, ya que, a diferencia de las otras dos, los caballos afectados suelen desarrollar viremia, por lo que pueden transmitir la enfermedad a través del piquete de mosco a otros huéspedes animales o al ser humano. En cuanto a las EEE y EEO aún no se han reconocido oficialmente en el territorio mexicano. Sin embargo, en marzo del presente año, se detectaron 44 casos de EEO en equinos en Nayarit. Dado que la única vacuna disponible y autorizada en México es la utilizada para prevenir la EEV, las medidas para disminuir el riesgo de infección por la EEE y la EEO se centran en alojar a los caballos en caballerizas controladas, especialmente durante los horarios de elevada actividad de los mosquitos. [ABSTRACT FROM AUTHOR]

Abstract This paper provides a methodology to identify the variables that affect the environmental performance of the life cycle of small electrical and electronic equipment (EEE). Different environmental indicators were contemplated as response variables, and five covariates were considered to potentially affect the life cycle of equipment: material weight, distribution, power, frequency of use and end-of-life. Different values per covariate were assumed. For material weight, power and frequency of use, three different levels were considered for each one: low, average and high. For distribution, three different distances were taken by simulating national, European and international distribution. For end-of-life, different scenarios were considered: using the equipment until the end of its life span, repairing it (assuming different repair types) or replacing it with a new one if it breaks before the end of its life span. The environmental impacts of each scenario obtained by combining these covariates were calculated by applying the Life Cycle Assessment (LCA) methodology using mid- and end-point impact assessment methods. The obtained environmental indicators were modelled by Integrated Nested Laplace Approximation (INLA) to identify the variables that affect the environmental performance. The methodology was applied to a sample of 10 categories of small household EEE. The results revealed that one general pattern was associated with all these categories: the covariates that statistically more affected the environmental impact of their life cycle were, in this order, frequency of use and power, followed by end-of-life strategies and material weight. Highlights • A methodology for identifying variables affecting the life cycle of EEE is proposed. • Aspects related to the use of small EEE statistically influence the environmental performance. • Differences can be obtained for scenarios including repair and replace end of life strategies. • The methodology could be extended if new variables responses or covariates are considered. [ABSTRACT FROM AUTHOR]

The demand for metals from the entire periodic table is currently increasing due to the ongoing digitalization. However, their use within electrical and electronic equipment (EEE) poses problems as they cannot be recovered sufficiently in the end-of-life (EoL) phase. In this paper, we address the unleashed dissipation of metals caused by the design of EEE for which no globally established recycling technology exists. We describe the European Union’s (EU) plan to strive for a circular economy (CE) as a political response to tackle this challenge. However, there is a lack of feedback from a design perspective. It is still unknown what the implications for products would be if politics were to take the path of a CE at the level of metals. To provide clarification in this respect, a case study for indium is presented and linked to its corresponding recycling-metallurgy of zinc and lead. As a result, a first material-specific rule on the design of so-called “anti-dissipative” products is derived, which actually supports designing EEE with recycling in mind and represents an already achieved CE on the material level. In addition, the design of electrotechnical standardization is being introduced. As a promising tool, it addresses the multi-dimensional problems of recovering metals from urban ores and assists in the challenge of enhancing recycling rates. Extending the focus to other recycling-metallurgy besides zinc and lead in further research would enable the scope for material-specific rules to be widened.

Electronic waste or e-squander is one of the quickest developing issues of the world. E-squander involves a large number of parts, some containing poisonous substances that can adversely affect human wellbeing and the earth if not dealt with legitimately. In India, e-squander the board expect more noteworthy essentialness not just because of the age of its own e-squander, yet additionally as a result of the dumping of e-squander from created nations. This is combined with India's absence of proper foundation and methods for its transfer and reusing. The generation of electrical and electronic gear (EEE) is one of the quickest developing worldwide assembling exercises. Quick monetary development, combined with urbanization and developing an interest for customer merchandise, has expanded both the utilization and the creation of EEE. The Indian data innovation (IT) industry has been one of the real drivers of progress in the economy in the most recent decade and has contributed essentially to the advanced unrest being experienced by the world. New electronic contraptions and machines have invaded each part of our everyday lives, furnishing our general public with more solace, wellbeing, and security and with simple data procurement and trade. The information society anyway is making its own poisonous impressions. [ABSTRACT FROM AUTHOR]

The aim of the research outlined in this paper is to demonstrate the implementation of a Cyber-Physical System (CPS) within the End of Life (EoL) processing of Electrical and Electronic Equipment (EEE). The described system was created by reviewing related areas of research, capturing stakeholder's requirements, designing system components and then implementing within an actual EoL EEE processer. The research presented in this paper details user requirements, relevant to any EoL EEE processer, and provides information of the challenges and benefits of utilising CPSs systems within this domain. The system implemented allowed an EoL processer to attach passive Ultra High Frequency (UHF) Radio Frequency Identification (RFID) tags to cores (i.e. mobile phones and other IT assets) upon entry to the facility allowing monitoring and control of the core's refurbishment. The CPS deployed supported the processing and monitoring requirements of PAS 141:2011, a standard for the correct refurbishment of both used and waste EEE for reuse. The implemented system controls how an operator can process a core, informing them which process or processes should be followed based upon the quality of the core, the recorded results of previous testing and any repair efforts. The system provides Human-Computer Interfaces (HCIs) to aid the user in recording core and process information which is then used to make decisions on the additional processes required. This research has contributed to the knowledge of the advantages and challenges of CPS development, specifically within the EoL domain, and documents future research goals to aid EoL processing through more advanced decision support on a core's processes. [ABSTRACT FROM AUTHOR]

Abstract Equine encephalomyelitis (Eastern and Western) has been assessed according to the criteria of the Animal Health Law (AHL), in particular criteria of Article 7 on disease profile and impacts, Article 5 on the eligibility of equine encephalomyelitis (Eastern and Western) to be listed, Article 9 for the categorisation of equine encephalomyelitis (Eastern and Western) according to disease prevention and control rules as in Annex IV, and Article 8 on the list of animal species related to equine encephalomyelitis (Eastern and Western). The assessment has been performed following a methodology composed of information collection and compilation, expert judgement on each criterion at individual and, if no consensus was reached before, also at collective level. The output is composed of the categorical answer, and for the questions where no consensus was reached, the different supporting views are reported. Details on the methodology used for this assessment are explained in a separate opinion. According to the assessment performed, equine encephalomyelitis (Eastern and Western) can be considered eligible to be listed for Union intervention as laid down in Article 5(3) of the AHL. The disease would comply with the criteria as in Section 5 of Annex IV of the AHL, for the application of the disease prevention and control rules referred to in point (e) of Article 9(1). The assessment here performed on compliance with the criteria as in Section 4 of Annex IV referred to in point (d) of Article 9(1) is inconclusive. The animal species to be listed for equine encephalomyelitis (Eastern and Western) according to Article 8(3) criteria are several species of mammals, birds, reptiles and amphibians as susceptible species; rodents, lagomorphs and several bird species as reservoirs and at least four mosquito species (family Culicidae) as vectors.