bluuebunny/crossref_metadata_2025_split huggingface dataset:
Governance drivers hinder and support a paradigm shift in wildfire risk management in Italy
Authors: Kirschner Judith A. , Ascoli Davide , Moore Peter , Clark Julian , Calvani Silvia , Boustras Georgios 
Published: January 2024

AbstractFire is a fundamental social-ecological process, but a combination of changing climate, land use and values at risk is increasing the incidence of large wildfires with high societal and biodiversity impacts. Academic and practitioner understanding is now converging around the need to manage fire risk as an outcome of intersecting governance regimes, comprising geohistorically defined institutions and decision-making pathways shaped by earlier wildfires. We investigate this proposition through a case study of Italy, a country greatly affected by wildfire and characterised by strong organisational, socio-cultural and geographical variation nationally. To the best of our knowledge, this is the first study collecting and analysing qualitative data on how different national and sub-national governance procedures interrelate to promote particular risk management strategies, and support or impede adaptive change. Participants in key agencies were consulted across seven nationally representative regions. Findings show a highly fragmented institutional structure, where wildfire policy responsibilities are increasingly allocated to disparate organisations at a variety of scales. Local stakeholder participation has been displaced by this shift to extra-local actors and networks. While institutions are formally committed to adopting a precautionary approach to wildfire risk, in practice, emergency response remains the default choice, as a result of patchy and uncoordinated legislation. Notably, the wider national and international (EU) regulatory context plays a muted role in governing wildfires. We present our results as a novel action research agenda for Italy and southern Europe more generally, emphasising the urgent need to develop new anticipatory systems of wildfire incidence through closer integration of cross-scale governance arrangements.
Multiscale mechanical characterisation of the craniofacial system under external forces
Authors: Didziokas Marius , Jones Dominic , Alazmani Ali , Steacy Miranda , Pauws Erwin , Moazen Mehran 
Published: January 2024

AbstractPremature fusion of craniofacial joints, i.e. sutures, is a major clinical condition. This condition affects children and often requires numerous invasive surgeries to correct. Minimally invasive external loading of the skull has shown some success in achieving therapeutic effects in a mouse model of this condition, promising a new non-invasive treatment approach. However, our fundamental understanding of the level of deformation that such loading has induced across the sutures, leading to the effects observed is severely limited, yet crucial for its scalability. We carried out a series of multiscale characterisations of the loading effects on normal and craniosynostotic mice, in a series of in vivo and ex vivo studies. This involved developing a custom loading setup as well as software for its control and a novel in situ CT strain estimation approach following the principles of digital volume correlation. Our findings highlight that this treatment may disrupt bone formation across the sutures through plastic deformation of the treated suture. The level of permanent deformations observed across the coronal suture after loading corresponded well with the apparent strain that was estimated. This work provides invaluable insight into the level of mechanical forces that may prevent early fusion of cranial joints during the minimally invasive treatment cycle and will help the clinical translation of the treatment approach to humans.
Nested Benders’s decomposition of capacity-planning problems for electricity systems with hydroelectric and renewable generation
Authors: Yagi Kenjiro , Sioshansi Ramteen 
Published: January 2024

AbstractNested Benders’s decomposition is an efficient means to solve large-scale optimization problems with a natural time sequence of decisions. This paper examines the use of the technique to decompose and solve efficiently capacity-expansion problems for electricity systems with hydroelectric and renewable generators. To this end we develop an archetypal planning model that captures key features of hydroelectric and renewable generators and apply it to a case study that is based on the Columbia River system in the northwestern United States of America. We apply standard network and within-year temporal simplifications to reduce the problem’s size. Nevertheless, the remaining problem is large-scale and we demonstrate the use of nested Benders’s decomposition to solve it. We explore refinements of the decomposition method which yield further performance improvements. Overall, we show that nested Benders’s decomposition yields good computational performance with minimal loss of model fidelity.
Radial increment dynamics of Maritime pine (Pinus pinaster Ait.) in pure and mixed stands with Scots pine (Pinus sylvestris L.) under changing environmental conditions
Authors: Askarieh Ali , del Río Miren , Aldea Jorge , Riofrío José , Bravo Felipe 
Published: January 2024

AbstractForest dynamics are undergoing profound alteration due to the fact that climate change is increasing the frequency and severity of abiotic and biotic forest disturbances. Because of the unpredictable nature of the drought periods and the variation in their severity, Mediterranean forests are typically more vulnerable. Mediterranean Pinus pinaster forests are showing decay symptoms linked to climate change. There is clear evidence that promoting mixtures can serve as an effective forest adaptation strategy. In this regard, we sought to better understand the responses of P. pinaster radial growth dynamics to various factors, in both mixed and pure forest stands, and provide valuable insights into P. pinaster dynamics when mixed with P. sylvestris. In this study, we examined the variation of intra-annual cumulative radial increment patterns in response to the climate of P. pinaster between pure and mixed stands with P. sylvestris. Using data from band dendrometers collected over five consecutive climatically distinct years (2016–2020), a nonlinear mixed-effect model approach was used to analyze the differences in intra-annual cumulative radial increment patterns for P. pinaster between years in mixed and pure stands. The intra-annual radial increment pattern of P. pinaster showed significant year-to-year variation and varied with tree size, with greater increment in larger trees. Trees in mixed stands had a higher mean radial increment compared to corresponding ones in pure stands. Increased summer maximum temperatures negatively affected tree cumulative annual increment regardless of composition, but with a lower impact on trees in pure stands. Spring precipitation increased the length of the growing season, while higher spring maximum temperatures triggered an earlier inflection point. Our results highlight the high plasticity of P. pinaster in adapting to varying intra- and inter-annual environmental conditions and competition with other species and suggest that promoting mixtures with P. sylvestris may be an interesting management strategy for adaptation to climate change.
Caregiving intensity and its association with subjective views of ageing among informal caregivers with different sociodemographic background: a longitudinal analysis from Germany
Authors: Zwar Larissa , König Hans-Helmut , Hajek André 
Published: January 2024

AbstractWe analysed whether care time, burden and range of caregiving tasks were associated with informal caregivers’ subjective views of ageing (measured as attitudes towards own age (ATOA), subjective age (SA), and onset of old age (OOA)), and whether these associations differed as a function of the caregivers’ age and gender. Adjusted cluster-robust fixed effects regression analyses were conducted with gender and age as moderators using data of informal caregivers (≥ 40 years) of the population-based German Ageing Survey (2014, 2017). All three aspect of care intensity were associated with changes in subjective views of ageing and this pattern was a function of the caregiver’s age and gender. Care time was significantly associated with higher SA. Care tasks were significantly associated with more positive ATOA and earlier OOA. Age moderated the association between burden and ATOA, with older adults reporting more positive ATOA. Gender moderated the association between care time and ATOA; women reported less positive ATOA than men with increasing care time, but also felt subjectively younger than men with a broader range of care tasks. Age- and gender-stratified analysis indicated further differences. Our findings suggest to reduce care time, especially among older and female caregivers, to prevent a worsening of views of ageing, while being involved in a broad range of care tasks seems to (only) benefit female caregivers.
Multi-population mortality modelling and forecasting with divergence bounds
Authors: Scognamiglio Salvatore 
Published: January 2024

AbstractUnderstanding the mortality dynamics and forecasting its future evolution is crucial for insurance companies and governments facing the risk that individuals might live longer than expected (the so-called longevity risk). This paper introduces a neural network model that allows an accurate modelling and forecasting of the mortality rates of many populations. The neural network model we propose is designed to present a fully explainable structure, allowing for understanding how predictions are formulated. Furthermore, the model addresses the problem of measuring and managing the divergence of the long-term forecasts of the mortality rates arising when one decides to model the mortality of two or more populations simultaneously. Indeed, for many models available in the literature, this divergence grows over time, resulting in an ever-increasing trend in the gap in life expectancy among countries that appear unrealistic and biologically unreasonable. The proposed model allows the construction of analytical bounds for this divergence and illustrates that these bounds can be exploited to analyse and measure the dissimilarities between two or more populations and identify opportunities for longevity risk diversification. Numerical experiments performed using all the data from the Human Mortality Database data show that our model produces more accurate mortality forecasts with respect to some well-known stochastic mortality models and allows us to obtain valuable insights about the mortality pattern of the population considered.
Reaching Young People in Urban and Rural Communities with Mental Health and Wellbeing Support Within a Youth Sports Development Program: Integrating In-Person and Remote Modes of Service Delivery
Authors: Waters Allison M. , Sluis Rachel A. , Usher Wayne , Farrell Lara J. , Donovan Caroline L. , Modecki Kathryn L. , Zimmer-Gembeck Melanie J. , Castle Mike , Hinchey James 
Published: January 2024

AbstractEmbedding mental health and wellbeing programs within youth sports development programs can help provide more young people with mental health support. However, delivering such programs in multiple locations across metropolitan, regional, and rural areas requires novel solutions to overcome geographic and logistical barriers. We examined the delivery of an integrated system delivered within an Australian junior rugby league program. The program included online assessment and feedback about youth mental health, as well as connection with evidence-informed resources and referral sources via parent telephone and email support. There were four methods of delivering player workshops during training sessions: (a) In-person Delivery Only, (b) In-person + Remote Real-time (video-conferenced), (c) In-person + Remote Prerecorded (video-recorded), and (d) Remote Delivery Only (video-conferenced and/or video-recorded). In-person delivered player workshops were facilitated by local rugby league personnel. Remote delivered workshops were facilitated by psychologists from the mental health research team. Participants were 671 boys (12–15 years;Mage = 13.35;SD = 0.35) in 21 metropolitan, regional and rural locations. Regardless of delivery condition, players with elevated anxiety, depression and behavioural problems reported significant declines in symptoms from pre- to post-program, and those within healthy ranges did not change from pre- to post-program. Player workshop enjoyment ratings were higher in the In-person + Remote Real-time condition and the Remote Delivery Only condition than the In-person Delivery Only condition. However, non-completion of the post-program assessment across all conditions was higher than in prior studies and a comparison group of players who did not complete the program was not included. Mental health benefits may be observed across in-person and remote modes of delivering mental health workshops within youth sports programs. However, the involvement of mental health personnel, whether in-person or remotely, and mixed delivery modes, may be important for young people’s retention and satisfaction.
Mapping the single cell spatial immune landscapes of the melanoma microenvironment
Authors: Magrill Jamie , Moldoveanu Dan , Gu Jiayao , Lajoie Mathieu , Watson Ian R 
Published: January 2024

AbstractMelanoma is a highly immunogenic malignancy with an elevated mutational burden, diffuse lymphocytic infiltration, and one of the highest response rates to immune checkpoint inhibitors (ICIs). However, over half of all late-stage patients treated with ICIs will either not respond or develop progressive disease. Spatial imaging technologies are being increasingly used to study the melanoma tumor microenvironment (TME). The goal of such studies is to understand the complex interplay between the stroma, melanoma cells, and immune cell-types as well as their association with treatment response. Investigators seeking a better understanding of the role of cell location within the TME and the importance of spatial expression of biomarkers are increasingly turning to highly multiplexed imaging approaches to more accurately measure immune infiltration as well as to quantify receptor-ligand interactions (such as PD-1 and PD-L1) and cell-cell contacts. CyTOF-IMC (Cytometry by Time of Flight - Imaging Mass Cytometry) has enabled high-dimensional profiling of melanomas, allowing researchers to identify complex cellular subpopulations and immune cell interactions with unprecedented resolution. Other spatial imaging technologies, such as multiplexed immunofluorescence and spatial transcriptomics, have revealed distinct patterns of immune cell infiltration, highlighting the importance of spatial relationships, and their impact in modulating immunotherapy responses. Overall, spatial imaging technologies are just beginning to transform our understanding of melanoma biology, providing new avenues for biomarker discovery and therapeutic development. These technologies hold great promise for advancing personalized medicine to improve patient outcomes in melanoma and other solid malignancies.
A Daytime Smoke Detection Method Based on Variances of Optical Flow and Characteristics of HSV Color on Footage from Outdoor Camera in Urban City
Authors: Kikuta Kazutaka , Murata Ken T. , Murakami Yuki 
Published: January 2024

AbstractIn order for detection of a fire in fields, it is effective to detect smoke since it often behaves as a precursor of the fire. One preferable way for early detection is to use visual information from outdoor cameras that widely monitor the filed. There have been many attempts to detect smokes via optical sensors on digital cameras using optical flow methods, but not fully successful from practical-use aspects. It is because the area of smokes occupying on the footage by outdoor cameras is not necessarily large enough. Moreover, in case of urban cities, discrimination of the smokes from other moving objects such as cars, trees and turbines is not easy. Herein we propose a novel method to detect daytime smokes based on variance of optical flow and characteristics of HSV (hue-saturation-value) color. We apply the method to a set of footage of three days obtained in an industrial zone in Japan. Successful results are obtained as over 90% of smokes are detected. Notable is that this method is independent of solar radiation conditions on sunny and cloudy days.
Towards Autonomous Firefighting UAVs: Online Planners for Obstacle Avoidance and Payload Delivery
Authors: Mugnai Michael , Teppati Losè Massimo , Satler Massimo , Avizzano Carlo Alberto 
Published: January 2024

AbstractDrone technology is advancing rapidly and represents significant benefits during firefighting operations. This paper presents a novel approach for autonomous firefighting missions for Unmanned Aerial Vehicles (UAVs). The proposed UAV framework consists of a local planner module that finds an obstacle-free path to guide the vehicle toward a target zone. After detecting the target point, the UAV plans an optimal trajectory to perform a precision ballistic launch of an extinguishing ball, exploiting its kinematics. The generated trajectory minimises the overall traversal time and the final state error while respecting UAV dynamic limits. The performance of the proposed system is evaluated both in simulations and real tests with randomly positioned obstacles and target locations. The proposed framework has been employed in the 2022 UAV Competition of the International Conference on Unmanned Aircraft Systems (ICUAS), where it successfully completed the mission in several runs of increasing difficulty, both in simulation and in real scenarios, achieving third place overall. A video attachment to this paper is available on the website https://www.youtube.com/watch?v=_hdxX2xXkVQ.
Selective Separation of Cobalt Ions from Some Fission Products Using Synthesized Inorganic Sorbent
Authors: Abass M. R. , Abou-Lilah R. A. , Abou-Mesalam M. M. 
Published: January 2024

AbstractIn this work, the separation of Co(II) ions from some fission products using zirconium molybdo silicate (ZrMoSi) sorbent was studied. ZrMoSi sorbent was prepared by the co-precipitation method and characterized using different analytical tools such as FT-IR, SEM, XRF, XRD, TGA, and DTA. ZrMoSi sorbent was found to have the molecular formula ZrO2.MoO3(0.1).SiO2(10.2).4.3 H2O. The sorption behavior of Co(II) involves the effect of shaking time, pH, initial Co(II) concentrations, desorption, and recycling. The sorption data is dependent on pH and ZrMoSi has high separation factors for Co(II) from Cs(I) and Sr(II). Reaction kinetics follow the pseudo-2nd-order model with an equilibrium time of 60 min and sorption isotherms are more applicable to a Langmuir isotherm. Desorption of Co(II) from the loaded sorbent was studied using different eluents and the best eluant is HCl (93.39%). The recycling results of Co(II) from aqueous solutions are excellent and revealed that ZrMoSi sorbent can be used as a promising sorbent to remove Co(II) from liquid waste.
SGS: SqueezeNet-guided Gaussian-kernel SVM for COVID-19 Diagnosis
Authors: Shi Fanfeng , Wang Jiaji , Govindaraj Vishnuvarthanan 
Published: January 2024

AbstractThe ongoing global pandemic has underscored the importance of rapid and reliable identification of COVID-19 cases to enable effective disease management and control. Traditional diagnostic methods, while valuable, often have limitations in terms of time, resources, and accuracy. The approach involved combining the SqueezeNet deep neural network with the Gaussian kernel in support vector machines (SVMs). The model was trained and evaluated on a dataset of CT images, leveraging SqueezeNet for feature extraction and the Gaussian kernel for non-linear classification. The SN-guided Gaussian-Kernel SVM (SGS) model achieved high accuracy and sensitivity in diagnosing COVID-19. It outperformed other models with an impressive accuracy of 96.15% and exhibited robust diagnostic capabilities. The SGS model presents a promising approach for accurate COVID-19 diagnosis. Integrating SqueezeNet and the Gaussian kernel enhances its ability to capture complex relationships and classify COVID-19 cases effectively.
COVID-19 associated Pulmonary Aspergillosis in Patients Admitted to the Intensive Care Unit: Impact of Antifungal Prophylaxis
Authors: Frost Jonas , Gornicec Maximilian , Reisinger Alexander C. , Eller Philipp , Hoenigl Martin , Prattes Juergen 
Published: January 2024

AbstractEarly after the beginning of the coronavirus disease 2019 (COVID-19)-pandemic, it was observed that critically ill patients in the intensive care unit (ICU) were susceptible to developing secondary fungal infections, particularly COVID-19 associated pulmonary aspergillosis (CAPA). Here we report our local experience on the impact of mold active antifungal prophylaxis on CAPA occurrence in critically ill COVID-19 patients. This is a monocentric, prospective cohort study including all consecutive patients with COVID-19 associated acute respiratory failure who were admitted to our local medical ICU. Based on the treating physician’s discretion, patients may have received antifungal prophylaxis or not. All patients were retrospectively characterized as having CAPA according to the 2020 ECMM/ISHAM consensus definitions. Seventy-seven patients were admitted to our medical ICU during April 2020 and May 2021 and included in the study. The majority of patients received invasive-mechanical ventilation (61%). Fifty-three patients (68.8%) received posaconazole prophylaxis. Six cases of probable CAPA were diagnosed within clinical routine management. All six cases were diagnosed in the non-prophylaxis group. The incidence of CAPA in the overall study cohort was 0.57 events per 100 ICU days and 2.20 events per 100 ICU days in the non-prophylaxis group. No difference of cumulative 84-days survival could be observed between the two groups (p = 0.115). In this monocentric cohort, application of posaconazole prophylaxis in patients with COVID-19 associated respiratory failure did significantly reduce the rate of CAPA.
Dynamic Competition, Price Frictions and Institution Building: the CMA in 2022–2023
Authors: Bon Julie , Love Alistair , McNaboe Alan , Njegovan Nenad , Schneebacher Jakob , Walker Mike 
Published: January 2024

AbstractThis article discusses three projects of economic significance that the Competition and Markets Authority (CMA) completed in the last year: First, we discuss the dynamic competition concerns that were at the heart of the CMA’s analysis of the Meta/GIPHY merger; this was the first case of a competition authority’s blocking an acquisition by one of the ‘Big Tech’ firms. Second, our work on the road fuels market study examined pricing behaviour in an important consumer-facing market and found that competition had weakened because historic price leaders have been taking a less aggressive approach to pricing, Third, we established a new research centre—the Microeconomics Unit—to bring economic expertise on competition, innovation, and productivity closer to regulatory and policy decisions.