bluuebunny/crossref_metadata_2025_split huggingface dataset:
The risk of COVID-19 in survivors of domestic violence and abuse
Authors: Chandan Joht Singh , Subramanian Anuradhaa , Chandan Jaidev Kaur , Gokhale Krishna M. , Vitoc Alecs , Taylor Julie , Bradbury-Jones Caroline , Bandyopadhyay Siddhartha , Nirantharakumar Krishnarajah 
Published: September 2021

AbstractA ‘shadow pandemic’ of domestic violence and abuse (DVA) has emerged secondary to strict public health measures containing the spread of SARS-CoV-2. Many countries have implemented policies to allow the free movement of DVA survivors in attempts to minimise their exposure to abusive environments. Although these policies are well received, as a result there is a possibility of increased COVID-19 transmission within this vulnerable group who are not currently prioritised for vaccination. Therefore, we aimed to compare the risk of developing suspected or confirmed COVID-19 in women (aged over 16 years) exposed to DVA against age-sex-matched unexposed controls, following adjustment for known COVID-19 risk factors. A population-based retrospective open cohort study was undertaken between the 31 January 2020 and 28 February 2021 using ‘The Health Improvement Network’ database. We identified 10,462 eligible women exposed to DVA who were matched to 41,467 similarly aged unexposed women. Following adjustment for key covariates, women exposed to DVA were at an increased risk (aHR 1.57; 95% CI 1.29–1.90) of suspected/confirmed COVID-19 compared to unexposed women. These findings support previous calls for positive policy action improving DVA surveillance and prioritising survivors for COVID-19 vaccination.
Monocyte transcriptomes from patients with axial spondyloarthritis reveal dysregulated monocytopoiesis and a distinct inflammatory imprint
Authors: Karow Fabian , Smiljanovic Biljana , Grün Joachim R. , Poddubnyy Denis , Proft Fabian , Talpin Alice , Hue Christophe , Boland Anne , Deleuze Jean-François , Garchon Henri-Jean , Ergenç Ilkay , De Craemer Ann-Sophie , Erben Ulrike , Häupl Thomas , Elewaut Dirk , Breban Maxime , Grützkau Andreas , Syrbe Uta 
Published: September 2021

Abstract
Background
In patients with axial spondyloarthritis (axSpA), monocytes show a pre-activated phenotype. Gut inflammation is a trigger of monocyte activation and may also affect their development in the bone marrow (BM). As gut inflammation is commonly observed in axSpA patients, we performed a detailed analysis of monocyte transcriptomes of axSpA patients in two cohorts and searched for signs of activation and developmental adaptations as putative imprints of gut inflammation.

Methods
Transcriptomes of blood CD14+ monocytes of HLA-B27+ axSpA patients and healthy controls (HC) were generated by microarrays from cohort 1 and by RNA-sequencing from cohort 2. Differentially expressed genes from both analyses were subjected to gene set enrichment analysis (GSEA) and to co-expression analysis in reference transcriptomes from BM cells, blood cells and activated monocytes. As serological markers of translocation, 1,3 beta-glycan, intestinal fatty acid binding protein, and lipopolysaccharide binding protein (LBP) were determined by LAL and ELISA.

Results
Transcriptome analysis identified axSpA-specific monocyte signatures showing an imprint of LPS/cytokine-activated monocytes, late granulopoietic BM cells, blood neutrophils, and G-CSF-mobilized blood cells, which suggests LPS/TNF activation and more prominent BM adaptation promoting a neutrophil-like phenotype. GSEA mapped axSpA upregulated genes to inflammatory responses and TNFα signaling and downregulated probe-sets to metabolic pathways. Among translocation markers, LBP levels were significantly increased in axSpA patients vs. HC (p < 0.001).
Stratified analysis by disease activity and stage identified an “active disease signature” (BASDAI ≥ 4) with an imprint of LPS/cytokine-activated monocytes and CD16+ monocyte subsets. The “AS signature” (vs. non-radiographic axSpA) showed a reinforced neutrophil-like phenotype due to deprivation of dendritic cell transcripts.

Conclusions
The neutrophil-like phenotype of axSpA monocytes points towards a biased monocytopoiesis from granulocyte-monocyte progenitors. This shift in monocytopoiesis and the LPS/cytokine imprint as well as the elevated LBP levels are indicators of systemic inflammation, which may result from bacterial translocation. The BM adaptation is most prominent in AS patients while disease activity appears to be linked to activation and trafficking of monocytes.
Factors that impact burnout and psychological wellbeing in Australian postgraduate medical trainees: a systematic review protocol
Authors: Balhatchet Belinda , Schütze Heike , Williams Nicole , Ashford Bruce 
Published: September 2021

Abstract
Background
The stressful nature of medical training and other work-related factors put postgraduate medical trainees at high risk of burnout and poor psychological wellbeing. This has negative implications for patient care and the effectiveness of the healthcare system. The structure of the healthcare system and postgraduate medical education in Australia is different to that of other countries. Whilst a significant body of research exists on burnout and wellbeing in trainees in the USA, evidence specific to Australian trainees is lacking. The aim of this review is to synthesise the current knowledge on the factors that impact burnout and psychological wellbeing in Australian postgraduate medical trainees.

Methods/design
A systematic review will be conducted across eight digital databases: Academic Search Complete, MEDLINE, Embase, Web of Science, PsychInfo, Scopus, CINAHL Plus and Informit Health Collection. Peer reviewed empirical studies and relevant grey literature published after 2000 that address an aspect of burnout or psychological wellbeing in Australian postgraduate medical trainees will be included. Two reviewers will independently review each article against the inclusion and exclusion criteria, with disagreements resolved via discussion and consensus. Data will be extracted using a standard form and quality will be assessed using the assessment tools available from the Joanna Briggs Institute. A thematic narrative synthesis of the studies will be presented, along with an assessment of current gaps in the literature and areas for future research.

Discussion
This review will be the first to integrate the evidence on burnout and psychological wellbeing specific to Australian postgraduate medical trainees. The findings will contribute to a better understanding of the factors that impact burnout and psychological wellbeing in this population and will lay the foundation for future research into appropriate strategic interventions.

Systematic review registration
This protocol has been registered in the International Prospective Register of Systematic Reviews (PROSPERO: CRD42020203195).
Questioning in TOEFL iBT speaking test: a case of washback and construct underrepresentation
Authors: Sayyadi Ali , Rezvani Reza 
Published: September 2021

AbstractAdmission in English-medium universities or institutions of higher education depends on the results obtained by candidates in large-scale proficiency tests including Test of English as a Foreign Language (TOEFL) internet-based test (iBT). The structure and administration procedure of the TOEFL iBT speaking test leaves no room for carrying out reciprocal interactions and, consequently, examining applicants’ questioning ability. This study highlights the significance of non-native students’ skills to ask oral English questions in academic contexts as experienced by non-native graduates from English-medium universities and in the view of Iranian TOEFL iBT instructors. Further, the washback of the absence of the skill in the TOEFL iBT test was investigated in speaking preparation classes. Twelve non-native graduates and nineteen Iranian TOEFL iBT instructors participated in the study. They were all interviewed about the significance of oral questioning. The instructors’ views were also sought about the consequences of the disregard of questioning in the test. To triangulate the data, two classes of the instructors were also observed. Classroom observations and interviews were analyzed through content analysis. The results indicated that the participants generally assumed questioning as indispensable in academic interactions. Despite their acknowledgment of its significance, as both the interviews and observations unveiled, the instructors, however, tended not to work on their students’ questioning because of the absence of the skill in the test, the students’ reluctance, limited preparation time, and dependence of their professional reputation on the test results rather than target situation performance. The study further discusses the implications of the findings for the test construct representation and preparation courses.
Are we asking the right questions? Working with the LGBTQ+ community to prioritise healthcare research themes
Authors: Crowe Sally , Barker Eleanor , Roberts Meg , Lloyd Lucy , de Barros Clara M. , Rebelo-Harris Ben , Meads Catherine , Saunders Catherine L. 
Published: September 2021

AbstractBackgroundConversations about research priorities with members of the public are rarely designed specifically to include people who identify as Lesbian, Gay, Bisexual, Transgender and Queer (LGBTQ+) and are not researchers.MethodsGenerally, to address this gap, and specifically, to inform future research for CLS, we carried out a rapid review of published research priority sets covering LGBTQ+ topics, and an online workshop to prioritise identified themes.ResultsRapid review: results.The rapid review identified 18 LGBTQ+ research priority sets. Some focussed on specific populations such as women or men, younger or older people or people living within families. Five addressed transgender and gender non- conforming populations. All of the research priority sets originated from English-speaking, high and middle-income countries (UK, US, Canada, and Australia), and date from 2016 onwards. Prioritization approaches were wide-ranging from personal commentary to expert workshops and surveys. Participants involved in setting priorities mostly included research academics, health practitioners and advocacy organisations, two studies involved LGBTQ+ public in their process. Research priorities identified in this review were then grouped into themes which were prioritised during the workshop.Workshop: results.For the workshop, participants were recruited using local (Cambridge, UK) LGBTQ+ networks and a national advert to a public involvement in research matching website to take part in an online discussion workshop. Those that took part were offered payment for their time in preparing for the workshop and taking part. Participants personal priorities and experiences contributed to a consensus development process and a final ranked list of seven research themes and participants’ experiences of healthcare, mental health advocacy, care homes, caring responsibilities, schools and family units added additional context.ConclusionsFrom the workshop the three research themes prioritised were:healthcare services delivery,prevention,andparticular challenges / intersectionalityof multiple challenges for people identifying as LGBTQ+. Research themes interconnected in many ways and this was demonstrated by the comments from workshop participants. This paper offers insights into why these priorities were important from participants’ perspectives and detail about how to run an inclusive and respectful public involvement research exercise. On a practical level these themes will directly inform future research direction for CLS.
Advanced voltage control method for improving the voltage quality of low-voltage distribution networks with photovoltaic penetrations
Authors: Nakamura Marika , Yoshizawa Shinya , Ishii Hideo , Hayashi Yasuhiro 
Published: September 2021

AbstractAs the number of photovoltaic (PV) power generators connected to the distribution grid increases, applications of on-load tap changers (OLTCs), power conditioning systems, and static reactive power compensators are being considered to mitigate the problem of voltage violation in low voltage distribution systems. The reactive power control by power conditioning systems and static reactive power compensators can mitigate steep voltage fluctuations. However, it creates losses in generation opportunities. On the other hand, OLTCs are installed at the bases of distribution lines and can collectively manage the entire system. However, the conventional voltage control method, i.e., the line drop compensation (LDC) method, is not designed for the case in which a large number of PV systems are installed in the distribution network, which results in voltage violations above the limit of the acceptable range. This study proposes a method to determine the optimal LDC control parameters of the voltage regulator, considering the power factor of PV systems to minimize the magnitude of voltage violations based on the voltage profile analysis of low-voltage (LV) distribution networks. Specifically, during a measurement period of several days, the voltages at some LV consumers and pole transformers were measured, and the optimal parameters were determined by analyzing the collected data. The effectiveness of the proposed method was verified through a numerical simulation study using the actual distribution system model under several scenarios of PV penetration rates. Additionally, the difference in the effectiveness of voltage violation reduction was verified in the case where all the LV consumer’s consumer voltage data measured per minute were used as well as in the case where only the maximum and minimum values of the data within the measurement period were used. The results reveal that the proposed method, which operates within the parameters determined by the voltage analysis of the LV distribution network, is superior to the conventional method. Furthermore, it was found that even if only the maximum and minimum values of the measurement data were used, an effective voltage violation reduction could be expected.
Optimization of district heating production with thermal storage using mixed-integer nonlinear programming with a new initialization approach
Authors: Bjørnskov Jakob , Mortensen Lasse Kappel , Filonenko Konstantin , Shaker Hamid Reza , Jradi Muhyiddine , Veje Christian 
Published: September 2021

AbstractNon-convex scheduling of energy production allows for more complex models that better describe the physical nature of the energy production system. Solutions to non-convex optimization problems can only be guaranteed to be local optima. For this reason, there is a need for methodologies that consistently provide low-cost solutions to the non-convex optimal scheduling problem. In this study, a novel Monte Carlo Tree Search initialization method for branch and bound solvers is proposed for the production planning of a combined heat and power unit with thermal heat storage in a district heating system. The optimization problem is formulated as a non-convex mixed-integer program, which is incorporated in a sliding time window framework. Here, the proposed initialization method offers lower-cost production planning compared to random initialization for larger time windows. For the test case, the proposed method lowers the yearly operational cost by more than 2,000,000 DKK per year. The method is one step in the direction of more reliable non-convex optimization that allows for more complex models of energy systems.
A digital twin framework for improving energy efficiency and occupant comfort in public and commercial buildings
Authors: Clausen Anders , Arendt Krzysztof , Johansen Aslak , Sangogboye Fisayo Caleb , Kjærgaard Mikkel Baun , Veje Christian T. , Jørgensen Bo Nørregaard 
Published: September 2021

AbstractModel Predictive Control (MPC) can be used in the context of building automation to improve energy efficiency and occupant comfort.Ideally, the MPC algorithm should consider current- and planned usage of the controlled environment along with initial state and weather forecast to plan for optimal comfort and energy efficiency.This implies the need for an MPC application which 1) considers multiple objectives, 2) can draw on multiple data sources, and 3) provides an approach to effectively integrate against heterogeneous building automation systems to make the approach reusable across different installations.To this end, this paper presents a design and implementation of a framework for digital twins for buildings in which the controlled environments are represented as digital entities. In this framework, digital twins constitute parametrized models which are integrated into a generic control algorithm that uses data on weather forecasts, current- and planned occupancy as well as the current state of the controlled environment to perform MPC. This data is accessed through a generic data layer to enable uniform data access. This enables the framework to switch seamlessly between simulation and real-life applications and reduces the barrier towards reusing the application in a different control environment.We demonstrate an application of the digital twin framework on a case study at the University of Southern Denmark where a digital twin has been used to control heating and ventilation.From the case study, we observe that we can switch from rule-based control to model predictive control with no immediate adverse effects towards comfort or energy consumption. We also identify the potential for an increase in energy efficiency, as well as introduce the possibility of planning energy consumption against local electricity production or market conditions, while maintaining occupant comfort.
Joint Optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources Including CO2 Emissions
Authors: de Lima Tayenne Dias , Franco John F. , Lezama Fernando , Soares João , Vale Zita 
Published: September 2021

AbstractIn the coming years, several transformations in the transport sector are expected, associated with the increase in electric vehicles (EVs). These changes directly impact electrical distribution systems (EDSs), introducing new challenges in their planning and operation. One way to assist in the desired integration of this technology is to allocate EV charging stations (EVCSs). Efforts have been made towards the development of EVCSs, with the ability to recharge the vehicle at a similar time than conventional vehicle filling stations. Besides, EVs can bring environmental benefits by reducing greenhouse gas emissions. However, depending on the energy matrix of the country in which the EVs fleet circulates, there may be indirect emissions of polluting gases. Therefore, the development of this technology must be combined with the growth of renewable generation. Thus, this proposal aims to develop a mathematical model that includes EVs integration in the distribution system. To this end, a mixed-integer linear programming (MILP) model is proposed to solve the allocation problem of EVCSs including renewable energy sources. The model addresses the environmental impact and uncertainties associated with demand (conventional and EVs) and renewable generation. Moreover, an EV charging forecast method is proposed, subject to the uncertainties related to the driver's behavior, the energy required by these vehicles, and the state of charge of the EVs. The proposed model was implemented in the AMPL modelling language and solved via the commercial solver CPLEX. Tests with a 24-node system allow evaluating the proposed method application.
Greenhouse industry 4.0 – digital twin technology for commercial greenhouses
Authors: Howard Daniel Anthony , Ma Zheng , Veje Christian , Clausen Anders , Aaslyng Jesper Mazanti , Jørgensen Bo Nørregaard 
Published: September 2021

AbstractThe project aims to create a Greenhouse Industry 4.0 Digital Twin software platform for combining the Industry 4.0 technologies (IoT, AI, Big Data, cloud computing, and Digital Twins) as integrated parts of the greenhouse production systems. The integration provides a new disruptive approach for vertical integration and optimization of the greenhouse production processes to improve energy efficiency, production throughput, and productivity without compromising product quality or sustainability. Applying the Industry 4.0 Digital Twin concept to the Danish horticulture greenhouse industry provides digital models for simulating and evaluating the physical greenhouse facility’s performance. A Digital Twin combines modeling, AI, and Big Data analytics with IoT and traditional sensor data from the production and cloud-based enterprise data to predict how the physical twin will perform under varying operational conditions. The Digital Twins support the co-optimization of the production schedule, energy consumption, and labor cost by considering influential factors, including production deadlines, quality grading, heating, artificial lighting, energy prices (gas and electricity), and weather forecasts. The ecosystem of digital twins extends the state-of-the-art by adopting a scalable distributed approach of “system of systems” that interconnects Digital Twins in a production facility. A collection of specialized Digital Twins are linked together to describe and simulate all aspects of the production chain, such as overall production capacity, energy consumption, delivery dates, and supply processes. The contribution of this project is to develop an ecosystem of digital twins that collectively capture the behavior of an industrial greenhouse facility. The ecosystem will enable the industrial greenhouse facilities to become increasingly active participants in the electricity grid.
Local energy markets - an IT-architecture design
Authors: Richter Bent , Golla Armin , Welle Klaus , Staudt Philipp , Weinhardt Christof 
Published: September 2021

AbstractIn recent years, local energy markets have become an important concept in more decentralized energy systems. Implementations in pilot projects provide first insights into different hypotheses and approaches. From a technical perspective, the requirements for the IT infrastructure of a local energy market are diverse, and a holistic view of its architecture is therefore necessary. This article presents an IT-architecture, which enables all basic local energy market functionalities, processes and modules based on the available literature. The proposed IT-architecture can serve as a blueprint for future local market projects as it covers the basic processes and is at the same time extendable. Furthermore, we give a detailed description of a real-world implementation of a local energy market using the described IT-architecture and discuss the advantages and disadvantages of the utilized technologies along with this case study.