bluuebunny/crossref_metadata_2025_split huggingface dataset:
Body objectified? Phenomenological perspective on patient objectification in teleconsultation
Authors: Grīnfelde Māra 
Published: April 2023

AbstractThe global crisis of COVID-19 pandemic has considerably accelerated the use of teleconsultation (consultation between the patient and the doctor via video platforms). While it has some obvious benefits and drawbacks for both the patient and the doctor, it is important to consider—how teleconsultation impacts the quality of the patient-doctor relationship? I will approach this question through the lens of phenomenology of the body, focusing on the question—what happens to the patient objectification in teleconsultation? To answer this question I will adopt a phenomenological approach combining both insights drawn from the phenomenological tradition, i.e., the concepts of the lived body and the object body, and the results from the phenomenologically informed qualitative research study on the patient experience of teleconsultation. The theoretical background against which I have developed this study comprises discussions within the field of phenomenology of medicine regarding the different sources of patient objectification within clinical encounter and the arguments concerning the negative impact that objectification has on the quality of care. I will argue that a factor that has frequently been identified within phenomenology of medicine as the main source of patient objectification in clinical encounters, namely, the internalized gaze of the clinician, is diminished during teleconsultation, increasing patient’s sense of agency, decreasing her sense of alienation and opening up the possibility for a closer relationship between the patient and the health care provider, all of which lead to the transformation of the hierarchical patient-health care professional relationship.
Wideband SOA fiber-to-fiber gain and saturation output power in the C-band: impact of characteristic parameters
Authors: Beshr Arwa Hassan , Aly Moustafa H. 
Published: April 2023

AbstractSemiconductor Optical Amplifiers (SOAs) have numerous attractive characteristics; for example: minimum power usage, broadband, flexible wavelength, wide dynamic range and significant nonlinearities. In this study, we present a comprehensive model of output saturation power and fiber-to-fiber gain of wideband SOAs. Furthermore, we investigate the impact of optical confinement factor, bias current, input signal power, temperature, and amplifier length on the fiber-to-fiber gain spectrum in the C-band. The obtained numerical results are approved by comparison with simulation results showing a fair agreement. The results reveal that output saturation power is improved by decreasing the optical confinement factor. Additionally, when input signal power rises, the maximum fiber-to-fiber gain value declines. Furthermore, as the temperature rises, the fiber-to-fiber gain decreases. Moreover, the maximum fiber-to-fiber gain is obtained at shorter amplifier lengths. Additionally, the effect of carrier density on the spectrum of coefficient of material gain is investigated, showing an increase in its value when increasing the carrier density, with a peak near 1550 nm.
Metaphors, religious language and linguistic expressibility
Authors: Hesse Jacob 
Published: April 2023

AbstractThis paper examines different functions of metaphors in religious language. In order to do that it will be analyzed in which ways metaphorical language can be understood as irreducible. First, it will be argued that metaphors communicate more than just propositional contents. They also frame their targets with an imagistic perspective that cannot be reduced to a literal paraphrase. Furthermore, there are also cases where metaphors are used to fill gaps of what can be expressed with literal language. In order to clarify this function of catachresis the notion of de re metaphors will be introduced. With those metaphors we can convey contents that we cannot conceptualize independently from a certain context of utterance. Hence, with such metaphors we can reach beyond the limits of our conceptual repertoire which is a crucial function for religious language. Finally, the consistency and plausibility of the radical position that all assertions about God are irreducibly and necessarily metaphorical if they are supposed to be true will be discussed on the basis of the results of the former considerations about the irreducibility of metaphors.
Comprehensive and multifaceted perspectives on sustainability, urban studies, and entrepreneurship
Authors: Berger Elisabeth S. C. , Blanka Christine 
Published: April 2023

AbstractWhile practitioners discuss the phenomena of sustainability, cities, and entrepreneurship, such as living labs and smart cities, alongside sustainable entrepreneurial ecosystems at length, researchers tend to reduce the complexity by considering these phenomena from the perspective of one discipline or by merging two research disciplines at best. This study intends to provide guidance on what is required for the emergence of a transdisciplinary research stream of sustainability, urban studies, and entrepreneurship. By applying design science involving practitioners and scientific experts, we designed a relevant and rigorous future research agenda that considered phenomena, research design, and theoretical foundations. Starting from the basis that sustainable entrepreneurial ecosystems are promising, the agenda integrates the knowledge base and establishes a multifaceted and comprehensive perspective on sustainable entrepreneurship in cities. Furthermore, implementing the research agenda has strong practical implications for realizing the common vision of a transition that ensures the quality of life on Earth.
The systemic implications of housing affordability for the teacher shortage: the case of New South Wales, Australia
Authors: Eacott Scott 
Published: April 2023

AbstractLegal attendance requirements and national declarations establish a social contract between the State and its citizens for the provision of schooling. Any shortage of teachers compromises the ability of the State to meet its contractable obligations. The sovereignty of the social contract is complex as no single body has ultimate responsibility for housing the teaching workforce, but everyone has a stake in it. Empirically focused on the largest school system in the southern hemisphere, the New South Wales public education system (Australia), this paper demonstrates that 90.8% of teaching positions, over 50,000 full-time equivalent posts, are in Local Government Areas where the median rent and house sales price are severely unaffordable on a top-of-the-scale teacher salary. With the system requiring additional teachers to meet increasing enrolments, and housing costs outstripping salaries, many schools not traditionally considered difficult to staff are becoming, if not already, inaccessible for teachers.
Choice-based Personalization in MOOCs: Impact on Activity and Perceived Value
Authors: Ram Ilana , Harris Sara , Roll Ido 
Published: April 2023

AbstractPersonalization in education describes instruction that is tailored to learners’ interests, attributes, or background and can be applied in various ways, one of which is through choice. In choice-based personalization, learners choose topics or resources that fit them the most. Personalization may be especially important (and under-used) with diverse learners, such as in a MOOC context. We report the impact of choice-based personalization on activity level, learning gains, and satisfaction in a Climate Science MOOC. The MOOC’s learning assignments had learners choose resources on climate-related issues in either their geographic locale (Personalized group) or in given regions (Generic group). 219 learners completed at least one of the two assignments. Over the entire course, personalization increased learners’ activity (number of course events), self-reported understanding of local issues, and self-reported likelihood to change climate-related habits. We found no differences on assignment completion rate, assignment length, and self-reported time-on-task. These results show that benefits of personalization extend beyond the original task and affect learners’ overall experience. We discuss design and implications of choice-based personalization, as well as opportunities for choice-based personalization at scale.
Renal improvement and remission in a patient with refractory ANCA-associated vasculitis treated with avacopan
Authors: Alvarez Luis , Kambham Neeraja , Su Robert 
Published: April 2023

AbstractAntineutrophil cytoplasmic autoantibody (ANCA)-associated vasculitis is associated with end-organ damage resulting in significant morbidity and mortality. Most recently, avacopan, an orally administered selective antagonist of the C5a receptor, was approved by the US Food and Drug Administration as an adjunctive treatment of adult patients with severe, active ANCA-associated vasculitis (granulomatosis with polyangiitis and microscopic polyangiitis) in combination with standard therapy including glucocorticoids. This case study describes a 58-year-old Asian female with severe ANCA-associated vasculitis and acute renal failure who responded to adjunctive therapy with avacopan despite being refractory to rituximab and glucocorticoid therapy.
A metaheuristic approach to optimal morphology in reconfigurable tiling robots
Authors: Kalimuthu Manivannan , Pathmakumar Thejus , Hayat Abdullah Aamir , Elara Mohan Rajesh , Wood Kristin Lee 
Published: April 2023

AbstractReconfigurable robots are suitable for cleaning applications due to their high flexibility and ability to change shape according to environmental needs. However, continuous change in morphology is not an energy-efficient approach, with the limited battery capacity. This paper presents a metaheuristic-based framework to identify the optimal morphology of a reconfigurable robot, aiming to maximize the area coverage and minimize the energy consumption in the given map. The proposed approach exploits three different metaheuristic algorithms, namely, SMPSO, NSGA-II, and MACO, to generate the optimal morphology for every unique layout of a two-dimensional grid map by considering the path-length as the energy consumption. The novel feature of our approach is the implementation of the footprint-based Complete Coverage Path Planning (CCPP) adaptable for all possible configurations of reconfigurable robots. We demonstrate the proposed method in simulations and experiments using a Tetris-inspired robot with four blocks namedSmorphi, which can reconfigure into an infinite number of configurations by varying its hinge angle. The optimum morphologies were identified for three settings, i.e., 2D indoor map with obstacles and free spaces. The optimum morphology is compared with the standard Tetris shapes in the simulation and the real-world experiment. The results show that the proposed framework efficiently produces non-dominated solutions for choosing the optimal energy-efficient morphologies.
Novel Hollow Re-entrant Structures Improving Hydrophobicity of Metal Surfaces
Authors: Zou Zhaoqiang , Xu Jinkai , Ren Wanfei 
Published: April 2023

AbstractRe-entrant structures have drawn increasing attention because of their hydrophobicity. However, it is very difficult to manufacture re-entrant structures at the micron scale on metal surfaces. In this study, we designed and manufactured novel hollow re-entrant structures employing laser ablation and electrodeposition technology. This designed hollow re-entrant structure on metal surfaces has been fabricated successfully, which has high processing efficiency and good repeatability. The morphology and size of the hollow re-entrant structures were characterized. We found that the hydrophobic performance of hollow re-entrant structures was improved after being in the atmosphere for 3 days. After electrodeposition, the static contact angle was 133°. However, after being placed in the atmosphere for 3 days, the static contact angle was 140.4°, which is 5.2% higher than that after electrochemical deposition. We explained the cause of this phenomenon. The change of element content on the surface of hollow re-entrant structures was used to indicate the formation of metal oxide. After being in the atmosphere for 3 days, oxygen content increased by 0.4%. The metal surfaces with hollow re-entrant structures have a broader application prospect.
In Hoc Signo Vinces—an Exploratory Study on the Impact of Religion on Violence in Sport
Authors: Alfano Vincenzo , Guarino Massimo , Rotondo Francesca 
Published: April 2023

AbstractDoes religion continue to spur violence even in contemporary times? This work aims to shed some light on the relationship between belonging to a given religion and violent behavior. Whereas religions often preach love and caring for others (meaning that among believers, a decrease in the level of violence may be registered), at the same time, it could be argued that a religious sense of belonging shapes self-identity and that in challenging situations this increases violence, especially towards foreigners. To test this hypothesis, we gathered data about yellow and red cards from the FIFA World Cup, obtaining a dataset of quasi-experimental data on violence, which we integrated with the Religious Characteristics of States Dataset Project. Via a quantitative analysis that employs different estimators, our results show that the more Christians there are in a country, the more violent its national team will be, whereas the more Buddhists there are, the less violent the team will be. No significant relationship is found with regard to Jews or Muslims. Finally, when investigating Christian confessions, Eastern Christians appear to show the most violent behavior.
Assessment of Wind Energy based on Optimal Weibull Parameters Estimation using Bald Eagle Search Algorithm: Case Studies from Egypt
Authors: Abou El-Ela Adel A. , El-Sehiemy Ragab A. , Shaheen Abdullah M. , Shalaby Ayman S. 
Published: April 2023

AbstractAs the wind speed is intermittent and unpredictable, statistical distribution approaches have been used to describe wind dates. The Weibull distribution with two parameters is thought to be the most accurate way for modeling wind data. This study seeks wind energy assessment via searching for optimal parameter estimation of the Weibull distribution. For this target, several analytical and heuristic methods are investigated. The analytical methods such as maximum likelihood method, moment method, energy pattern factor method (EPFM), and empirical method (EM) are used to find these optimal parameters. Also, these parameters are obtained by four heuristic optimization algorithms called particle swarm, crow search, aquila optimizer, and bald eagle search optimizers. The simulation results of analytical and heuristics are assessed together to identify the best probability density function (PDF) of wind data. In addition, these competitive models are submitted to find the most appropriate model to represent wind energy production. In all methods, the error between actual and estimated wind energy density is computed as the target fitness function. The simulation tests are carried out based on per year real data that are collected from Zafaranah and Shark El-Ouinate sites in Egypt. Also, different indicators of fitness properties are assessed such as the root mean square error (RMSE), determination coefficient (R2), mean absolute error (MAE), and wind production deviation (WPD). The simulation results declare that the proposed bald eagle search optimization algorithm offers greater accuracy than other analytical and heuristic algorithms in estimating the Weibull parameters. Besides, statistical analysis of the compared methods demonstrates the high stability of the BES algorithm. Moreover, the BES algorithm presents the fastest convergence compared to the others. Furthermore, different models are analyzed to deduce the nonlinear relationship between the wind output power and the regarding speed where the error of wind energy density between actual and estimated is greatly minimized using the cubic model at least values of statistical indicators.
Implicit Feedback Awareness for Session Based Recommendation in E-Commerce
Authors: Esmeli Ramazan , Bader-El-Den Mohamed , Abdullahi Hassana , Henderson David 
Published: April 2023

AbstractInformation overload is a challenge in e-commerce platforms. E-shoppers may have difficulty selecting the best product from the available options. Recommender systems (RS) can filter relevant products according to user’s preferences, interest or observed user behaviours while they browse products on e-commerce platforms. However, collecting users’ explicit preferences for the products on these platforms is a difficult process since buyers prefer to rate the products after they use them rather than while they are looking for products. Therefore, to generate next product recommendations in the e-commerce domain, mostly shoppers’ click behaviour is taken into consideration. Shoppers could indicate their interest in the products in different ways. Spending more time on a product could imply a different level of user interest than skipping quickly the product or adding basket behaviour could show more intense interest than just browsing. In this study, we investigate the effect of applying the generated explicit ratings on RS by implementing a framework that maps users’ implicit feedback into explicit ratings in the e-commerce domain. We conduct computational experiments on well-known RS algorithms using two datasets containing mapped explicit ratings. The results of the experimental analysis indicate that incorporating calculated explicit ratings from users’ implicit feedback can help RS models perform better. The results suggest that there is more performance gap between using implicit and explicit ratings when factorisation machine RS model is used.
Present and Future Changes in Land‐Atmosphere Coupling of Water and Energy Over Extratropical Forest Regions
Authors: Zhu Qing , Riley William , Tang Jinyun , Burrows Susannah , Harrop Bryce , Shi Xiaoying , Yang Xiaojuan , Maltrud Mathew , Calvin Katherine 
Published: April 2023

AbstractCouplings between land and the near surface atmosphere are modulated by interactions between soil conditions, vegetation dynamics, turbulent fluxes, and atmospheric properties. How the land‐atmosphere coupling responds to warming and elevated CO2 are important for understanding the land surface carbon, energy, and water cycles. In this work, we documented this coupled land‐atmosphere network based on observations and the Energy Exascale Earth System Model (E3SM) simulations over extratropical forest ecosystems. We employed a transfer entropy approach and novel network metrics to reveal patterns and strength of the land‐atmosphere coupling under historical conditions and a future high emission scenario (SSP585). We found that, in observations, the present‐day extratropical forest coupling network has high network connectivity (72%–88% of the targeted processes are coupled). E3SM reasonably captured the extratropical forest coupling network (modeled network connectivity was 81%–96%) and predicted that the coupling strength would significantly increase by 28% (±3%) under warming and elevated CO2 conditions. Furthermore, E3SM factorial coupled experiments suggested that warming enhanced soil nitrogen mineralization favoring plant nitrogen uptake and vegetation growth were responsible for the strengthening future land‐atmosphere coupling. This work provides new metrics to analyze and document complex couplings for coupled earth system processes and highlights the important roles soil nutrient availability and biogeochemistry have on land‐atmosphere coupling.
A Century Ammonium Record Retrieved From the Central Tibetan Plateau
Authors: Wang Cheng , Tian Lide , Cai Zhongyin , Shao Lili , Huang Ju 
Published: April 2023

AbstractThe limited observations pose challenges to understanding long‐term variations of atmospheric ammonium () deposition. Glaciers on the margins of the Tibetan Plateau (TP) adjacent to heavily populated regions can capture and preserve unique records of natural and anthropogenic ammonium aerosol. However, relatively little has been known about spatiotemporal variations and anthropogenic influences on ammonium deposition on the central TP. Here, we present a high‐resolution ammonium record spanning the period 1900–2011, reconstructed from the Qiangtang (QT) ice core on the central TP. Empirical orthogonal function and interspecies correlation analysis reveal that has a source and/or transport route that differs from the dust species, especially after the 1950s. The QT ammonium record is also likely influenced by temperature‐dependent biogenic emissions from northwestern South Asia. Comparison with other ice core records shows that intensified anthropogenic emissions have caused a widespread increase in ammonium records in the inner TP after the 1950s. Furthermore, the significant positive relationship with the December–April Arctic Oscillation (AO) suggests that enhanced westerlies during the positive AO phase transport aerosol more efficiently to the QT. As a result, the decrease in ammonium concentrations after 1990, when anthropogenic emissions were still increasing, could be attributed to the weakening of westerlies associated with the transitioning of the AO phase from positive to negative. Our results may enhance the understanding of the influence of the westerlies on the transport of atmospheric pollutants to the central TP.
Buried Ice Deposits in Lunar Polar Cold Traps Were Disrupted by Ballistic Sedimentation
Authors: Tai Udovicic C. J. , Frizzell K. R. , Kodikara G. R. L. , Kopp M. , Luchsinger K. M. , Madera A. , Meier M. L. , Paladino T. G. , Patterson R. V. , Wroblewski F. B. , Kring D. A. 
Published: April 2023

AbstractThe NASA Artemis program will send humans to the lunar south polar region, in part to investigate the availability of water ice and other in situ resources. While trace amounts of ice have been detected at the surface of polar permanently shadowed regions (PSRs), recent studies suggest that large ice deposits could be stable below cold traps in the PSRs over geologic time. A recent study modeling the rate of ice delivery, ejecta deposition and ice loss from cold traps predicted that gigatons of ice could be buried below 100s of meters of crater ejecta and regolith. However, crater ejecta vigorously mix the target on impact through ballistic sedimentation, which may disrupt buried ice deposits. Here, we developed a thermal model to predict ice stability during ballistic sedimentation events. We then modeled cold trap ice and ejecta stratigraphy over geologic time using Monte Carlo methods. We found that ballistic sedimentation disrupted large ice deposits in most cases, dispersing them into smaller layers. Ice retention decreased in most cases, but varied significantly with the sequence of ejecta delivery, particularly from basin‐forming events. Over many model runs, we found that south polar craters Amundsen, Cabeus, and Cabeus B were most likely to retain large deposits of ice at depths up to 100 m, shallow enough to be detectable with ground‐penetrating radar. We discuss these findings in the context of the imminent human exploration activities at the lunar south pole.