42228 research outputs found
Sort by
A three-layer joint distributionally robust chance-constrained framework for optimal day-ahead scheduling of e-mobility ecosystem
A high number of electric vehicles (EVs) in the transportation sector necessitates an advanced scheduling framework for e-mobility ecosystem operation to overcome range anxiety and create a viable business model for charging stations (CSs). The framework must account for the stochastic nature of all stakeholders’ operations, including EV drivers, CSs, and retailers and their mutual interactions. In this paper, a three-layer joint distributionally robust chance-constrained (DRCC) model is proposed to plan day-ahead grid-to-vehicle (G2V) and vehicle-to-grid (V2G) operations for e-mobility ecosystems. The proposed three-layer joint DRCC framework formulates the interactions of the stochastic behaviour of the stakeholders in an uncertain environment with unknown probability distributions. The proposed stochastic model does not rely on a specific probability distribution for stochastic parameters. An iterative process is proposed to solve the problem using joint DRCC formulation. To achieve computational tractability, the second-order cone programming reformulation is implemented for double-sided and single-sided chance constraints (CCs). Furthermore, the impact of the temporal correlation of uncertain PV generation on CSs operation is considered in the formulation. A simulation study is carried out for an ecosystem of three retailers, nine CSs, and 600 EVs based on real data from San Francisco, USA. The simulation results show the necessity and applicability of such a scheduling framework for the e-mobility ecosystem in an uncertain environment, e.g., by reducing the number of unique EVs that failed to reach their destination from 272 to 61. In addition, the choice of confidence level significantly affects the cost and revenue of the stakeholders as well as the accuracy of the schedules in real-time operation, e.g., for a low-risk case study, the total net cost of EVs increased by 247.3% compared to a high-risk case study. Also, the total net revenue of CSs and retailers decreased by 26.6% and 10.6%, respectively
A grounded theory of information exclusion and information inclusion: framing the information experience of people seeking asylum
Purpose
This paper discusses an original theory of information exclusion and information inclusion, which explains how information interactions can be structured in ways that either exclude or include people seeking asylum.
Design/methodology/approach
This theory was developed through an ethnographic study of the information experience of people seeking asylum in the United Kingdom. Fieldwork involved participant observations, participatory research workshops and semi-structured interviews, analysed using a constructivist grounded theory approach.
Findings
People seeking asylum are confronted with two main information environments: the asylum system and the local third sector. Each environment frames contrasting information access, sharing and literacy practice modalities: the former produces information deprivation, information sharing agency denial and a fracturing information literacy practice; the latter facilitates multiple information affordances, information sharing agency promotion, and both local and heritage information literacy practice promotion. Our theory of information exclusion and information inclusion describes how through these modalities, an information environment can either promote or preclude inclusion.
Originality/value
Previous information studies of migration tend to conceptualise social ex/inclusion as a linear journey. Our theory originally frames this as a non-straightforward and conflicting process, allowing to better understand the experience of people who are not simply either socially excluded or included, but may experience both states depending on context. It also shows that exclusion is not a matter of fact and is not fundamental to asylum systems: it is produced by specific policies and procedures and can therefore be changed. Thus, this theory provides conceptual tools for researchers to investigate the information experience of individuals moving between conflicting information practices, and for civil society actors and policymakers to document exclusionary information practices and design inclusive ones
Ageing Well with Creative Arts and Pets: The HenPower Story
HenPower is a programme that enables older people who live with dementia in care homes to take part in hen-keeping and hen-related creative activities. It was introduced into UK care homes to address evidence suggesting older adults who live with dementia in care homes can experience diminished personal wellbeing. This study aimed to 1) assess the impact of HenPower on people who have dementia who are living in a care home and 2) explore care home staff views and experiences of the HenPower programme. A nested qualitative design was adopted, utilizing observation of 29 older people who live in a care home and 25 staff individual and small-group interviews. Five themes emerged: ongoing meaningful engagement with hens, self-expression through creative activities, improved mood and participation, improved social interaction, and enhanced living environment. HenPower offers potential wellbeing benefits to older people living in care homes, many of which echo with existing evidence on non-pharmacological approaches
The relevance of gunshot residues in forensic science
Gunshot residues (GSR) are routinely exploited by forensic scientists in the investigation of firearm-related events. While many new techniques are daily reported in the literature for the analysis of GSR, there is still a significant lack of data on the transfer, persistence, and prevalence of GSR. Such fundamental knowledge is essential to fully exploit the information potential of GSR for investigation or in Court. This article provides an overview of the relevant questions related to GSR, more particularly to infer about the trace's origin (i.e., is it from a firearm discharge?) and the activity that caused transfer (e.g., primary, secondary, or subsequent transfer). GSR production and composition will be briefly described, considering both inorganic and organic components. Then, the available knowledge about the primary transfer, the secondary transfer, and the persistence of GSR will be outlined, as well as the prevalence (background level) of the targeted elements and/or compounds in the environment, more particularly on the hands of people unrelated to firearm incidents. Finally, the methods developed for the collection, analysis, and interpretation of GSR will be discussed. A holistic approach combining fundamental forensic science knowledge about GSR transfer, persistence, and prevalence together with other available information is discussed as a path forward to increase the relevance and value of the GSR trace in practice
Refugees in Africa (1490-1820)
The history of Africa is marked by human mobility. A large portion of these movements involve people who can be fully or partially classified as refugees. This chapter focuses on early modern Africa, from the end of the fifteenth century to the very beginning of the nineteenth century. It surveys several major historical events and climate episodes: the LIA, the expulsion of Muslims and Jews from the Iberian Peninsula, and the apex of trans-Atlantic, trans-Saharan and trans-Indian ocean slave trades. It includes North and Sub-Saharan Africa. The chapter explores the causes and consequences of refugee migrations from a threefold perspective: the impact of climate on human mobility; the imperial politics that created refugees and the way expanding empires managed refugees flows; and the effects on African landscapes, cultures and societies
The emotional and financial impact of de-platforming on creators at the margins
This study provides one of the first examples of de-platforming’s direct emotional and financial impact on Instagram and TikTok content creators at the margins. Both platforms provide significant opportunities toward creative and flexible work, allowing creators to maintain networks, promote work, express themselves and earn a living. However, their governance can severely disrupt certain forms of content creation, particularly for users who post online sex work and nude content. Through a qualitative survey, we gathered the experiences of 123 de-platformed Instagram and TikTok users who posted nude or sex work-related content. Our study provides crucial testimonies showing that the precarity of creator labor and platforms’ reliance on automated content moderation have negatively impacted creators’ well-being. Participants faced adverse psychological impacts resulting from job and income uncertainty, associated feelings of powerlessness, a loss of digital identity, and enforced isolation from a previously established social network. We conclude by providing platform governance recommendations based on these experiences
Dynamic Rail Near-Surface Inspection of Multiphysical Coupled Electromagnetic and Thermography Sensing System
The effectiveness of railway fault inspection has remained challenging. Conventional techniques are still functionally limited and unable to meet the increasing demand of railway diagnosis. To mitigate the variety of rail fault detection problems, this article proposes a dynamic railway inspection system based on multiphysical coupled electromagnetic and thermography sensing. It further shows the development and construction of a new inverted L-type magnet yoke abreast with volumetric coil array. The novel structure can not only significantly enhance the sensitivity and detectability of the region of interest (ROI), but also effectively detect the subsurface defects with the compensation of coils array due to the coupled electromagnetic field. Furthermore, the theoretical analysis of the coupled physical fields has been derived and proved to be consistent with the numerical simulation results. A rail test sample with various defects is carried out to verify the feasibility of the proposed system. Additionally, a metric learning post-processing algorithm has been conducted for distilling eddy current signals and thermograms to improve the accuracy of the detection results. On-site experimental and contrast results with various levels of performance validation have demonstrated that the integrated system is well suited for dynamic rail inspection on near-surface cracks at speed of 1 km/h
Global Solar Radiation Forecasting Based on Hybrid Model with Combinations of Meteorological Parameters: Morocco Case Study
The adequate modeling and estimation of solar radiation plays a vital role in designing solar energy applications. In fact, unnecessary environmental changes result in several problems with the components of solar photovoltaic and affects the energy generation network. Various computational algorithms have been developed over the past decades to improve the efficiency of predicting solar radiation with various input characteristics. This research provides five approaches for forecasting daily global solar radiation (GSR) in two Moroccan cities, Tetouan and Tangier. In this regard, autoregressive integrated moving average (ARIMA), autoregressive moving average (ARMA), feed forward back propagation neural networks (FFBP), hybrid ARIMA-FFBP, and hybrid ARMA-FFBP were selected to compare and forecast the daily global solar radiation with different combinations of meteorological parameters. In addition, the performance in three approaches has been calculated in terms of the statistical metric correlation coefficient (R²), root means square error (RMSE), stand deviation (σ), the slope of best fit (SBF), legate’s coefficient of efficiency (LCE), and Wilmott’s index of agreement (WIA). The best model is selected by using the computed statistical metric, which is present, and the optimal value. The R² of the forecasted ARIMA, ARMA, FFBP, hybrid ARIMA-FFBP, and ARMA-FFBP models is varying between 0.9472 and 0.9931. The range value of SPE is varying between 0.8435 and 0.9296. The range value of LCE is 0.8954 and 0.9696 and the range value of WIA is 0.9491 and 0.9945. The outcomes show that the hybrid ARIMA–FFBP and hybrid ARMA–FFBP techniques are more effective than other approaches due to the improved correlation coefficient (R2)
COVID-19 and organized crime: an introduction to the special issue
This is an introduction to the articles submitted to the special issue of Trends in Organized Crime on ‘COVID-19 and Organized Crime’. The aim of the special issue is to draw together a range of empirical studies from around the world to explore the implications of the COVID-19 pandemic for both organized criminals and law enforcement agencies. The pandemic required organized criminals to adapt their practice in light of government restrictions, but it also created new profitable opportunities. At the same time, however, COVID-19 posed significant challenges for law enforcement
Incorporating microglia‐like cells in human induced pluripotent stem cell‐derived retinal organoids
Microglia are the primary resident immune cells in the retina. They regulate neuronal survival and synaptic pruning making them essential for normal development. Following injury, they mediate adaptive responses and under pathological conditions they can trigger neurodegeneration exacerbating the effect of a disease. Retinal organoids derived from human induced pluripotent stem cells (hiPSCs) are increasingly being used for a range of applications, including disease modelling, development of new therapies and in the study of retinogenesis. Despite many similarities to the retinas developed in vivo, they lack some key physiological features, including immune cells. We engineered an hiPSC co-culture system containing retinal organoids and microglia-like (iMG) cells and tested their retinal invasion capacity and function. We incorporated iMG into retinal organoids at 13 weeks and tested their effect on function and development at 15 and 22 weeks of differentiation. Our key findings showed that iMG cells were able to respond to endotoxin challenge in monocultures and when co-cultured with the organoids. We show that retinal organoids developed normally and retained their ability to generate spiking activity in response to light. Thus, this new co-culture immunocompetent in vitro retinal model provides a platform with greater relevance to the in vivo human retina