bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Detection of Impact Damage to the Edges of CFRP Plates Using Extensional Ultrasonic Edge Waves
Authors: Chu Jun Yu Harry , Courtney Charles R. P. 
Published: October 2021

AbstractExtensional edge waves propagate along the edges of plates, with low attenuation in the propagation direction and amplitude decreasing rapidly (within one or two wavelengths) in the direction perpendicular to the plate edge. This makes them an ideal candidate for inspecting the edges of plate-like structures. Here, finite-element models and experiments are used to investigate the propagation and scattering of extensional edge waves in composite plates and application to damage detection is demonstrated. Piezoceramic transducers attached to the edge of a 4-mm-thick carbon-fibre-reinforced polymer (CFRP) plate were used to excite 140-kHz edge waves and damage detection demonstrated using two experimental configurations: pitch-catch and two-transducer pulse-echo. Damage due to edge-on impacts of 5 J and 10 J were detected in both configurations. A mass-addition damage model was used to investigate the effect of damage location. Detection was specific to damage within 33 mm (1.5 wavelengths) of the plate edge with propagation unaffected by features beyond that distance. The time of arrival of reflected signals in pulse-echo mode was accurately predicted using the edge-wave group velocity indicating that this configuration can be used for locating damage on edges. The localisation of edge waves means that they can specifically detect damage at the edges of structures, and attenuation measurements indicate that their useful propagation distance is large (5.5 m).
Implementing a Stratified Vocational Advice Intervention for People on Sick Leave with Musculoskeletal Disorders: A Multimethod Process Evaluation
Authors: Aanesen Fiona , Øiestad Britt Elin , Grotle Margreth , Løchting Ida , Solli Rune , Sowden Gail , Wynne-Jones Gwenllian , Storheim Kjersti , Eik Hedda 
Published: October 2021

AbstractPurpose To perform a process evaluation of a stratified vocational advice intervention (SVAI), delivered by physiotherapists in primary care, for people on sick leave with musculoskeletal disorders participating in a randomised controlled trial. The research questions concerned how the SVAI was delivered, the content of the SVAI and the physiotherapists’ experiences from delivering the SVAI. Methods We used qualitative and quantitative data from 148 intervention logs documenting the follow-up provided to each participant, recordings of 18 intervention sessions and minutes from 20 meetings with the physiotherapists. The log data were analysed with descriptive statistics. A qualitative content analysis was performed of the recordings, and we identified facilitators and barriers for implementation from the minutes. Results Of 170 participants randomised to the SVAI 152 (89%) received the intervention and 148 logs were completed. According to the logs, 131 participants received the correct number of sessions (all by telephone) and 146 action plans were developed. The physiotherapists did not attend any workplace meetings but contacted stakeholders in 37 cases. The main themes from the recorded sessions were: ‘symptom burden’, ‘managing symptoms’, ‘relations with the workplace’ and ‘fear of not being able to manage work’. The physiotherapists felt they were able to build rapport with most participants. However, case management was hindered by the restricted number of sessions permitted according to the protocol. Conclusion Overall, the SVAI was delivered in accordance with the protocol and is therefore likely to be implementable in primary care if it is effective in reducing sick leave.
Improving the efficiency of reinforcement learning for a spacecraft powered descent with Q-learning
Authors: Wilson Callum , Riccardi Annalisa 
Published: October 2021

AbstractReinforcement learning entails many intuitive and useful approaches to solving various problems. Its main premise is to learn how to complete tasks by interacting with the environment and observing which actions are more optimal with respect to a reward signal. Methods from reinforcement learning have long been applied in aerospace and have more recently seen renewed interest in space applications. Problems in spacecraft control can benefit from the use of intelligent techniques when faced with significant uncertainties—as is common for space environments. Solving these control problems using reinforcement learning remains a challenge partly due to long training times and sensitivity in performance to hyperparameters which require careful tuning. In this work we seek to address both issues for a sample spacecraft control problem. To reduce training times compared to other approaches, we simplify the problem by discretising the action space and use a data-efficient algorithm to train the agent. Furthermore, we employ an automated approach to hyperparameter selection which optimises for a specified performance metric. Our approach is tested on a 3-DOF powered descent problem with uncertainties in the initial conditions. We run experiments with two different problem formulations—using a ‘shaped’ state representation to guide the agent and also a ‘raw’ state representation with unprocessed values of position, velocity and mass. The results show that an agent can learn a near-optimal policy efficiently by appropriately defining the action-space and state-space. Using the raw state representation led to ‘reward-hacking’ and poor performance, which highlights the importance of the problem and state-space formulation in successfully training reinforcement learning agents. In addition, we show that the optimal hyperparameters can vary significantly based on the choice of loss function. Using two sets of hyperparameters optimised for different loss functions, we demonstrate that in both cases the agent can find near-optimal policies with comparable performance to previously applied methods.
Multi-objective optimization of energy-efficient production schedules using genetic algorithms
Authors: Küster Tobias , Rayling Philipp , Wiersig Robin , Pozo Pardo Francisco Denis 
Published: October 2021

AbstractThe optimization of production schedules to be more energy efficient while still meeting production goals is a difficult task: How to schedule and distribute production tasks to meet production goals, while making best use of fluctuating energy market prices and availability of locally installed energy sources? Although a large body of related work exists in this domain, most of those seem to focus on individual aspects and not the whole picture. In this paper, a genetic algorithm for optimization of production schedules with respect to energy consumption, peak shaving, and makespan is presented, that also takes into account that tasks can be performed in different ways, having different characteristics. The algorithm has been successfully employed within the SPEAR project by applying it for optimization of an automotive production line and for the pathway of an automated guided vehicle.
The Daniel K. Inouye Solar Telescope (DKIST)/Visible Broadband Imager (VBI)
Authors: Wöger Friedrich , Rimmele Thomas , Ferayorni Andrew , Beard Andrew , Gregory Brian S. , Sekulic Predrag , Hegwer Steven L. 
Published: October 2021

AbstractThe Daniel K. Inouye Solar Telescope (DKIST) is a ground-based observatory for observations of the solar atmosphere featuring an unprecedented entrance aperture of four meters. To address its demanding scientific goals, DKIST features innovative and state-of-the-art instrument subsystems that are fully integrated with the facility and designed to be capable of operating mostly simultaneously. An important component of DKIST’s first-light instrument suite is the Visible Broadband Imager (VBI). The VBI is an imaging instrument that aims to acquire images of the solar photosphere and chromosphere with high spatial resolution and high temporal cadence to investigate the to-date smallest detectable features and their dynamics in the solar atmosphere. VBI observations of unprecedented spatial resolution ultimately will be able to inform modern numerical models and thereby allow new insights into the physics of the plasma motion at the smallest scales measurable by DKIST. The VBI was designed to deliver images at various wavelengths and at the diffraction limit of DKIST. The diffraction limit is achieved by using adaptive optics in conjunction with post-facto image-reconstruction techniques to remove residual effects of the terrestrial atmosphere. The first images of the VBI demonstrate that DKIST’s optical system enables diffraction-limited imaging across a large field of view of various layers in the solar atmosphere. These images allow a first glimpse at the exciting scientific discoveries that will be possible with DKIST’s VBI.
The role of ethnic origin and situational information in teachers’ reactions to social exclusion among students
Authors: Beißert Hanna , Staat Miriam , Bonefeld Meike 
Published: October 2021

AbstractThe current study investigated pre- and in-service teachers' reactions to interethnic exclusion in Germany. Using hypothetical scenarios, we examined a sample of 482 teachers (84 males, 398 females; 59% pre-service teachers, 41% in-service teachers) as observers of exclusion among students. In these scenarios, we varied the ethnic origin of the excluded student (German vs. Turkish) and the background information, providing participants either with no additional background information or with information specifying that the excluded student had shown prior norm-violating behavior (insult of another student). We assessed the teachers’ evaluations of the scenarios and their anticipated reactions. The aim of the study was to replicate and extend previous research on teachers’ reactions to social exclusion. As expected, the analyses revealed a strong effect of the background information on teachers’ evaluations and reactions. The teachers evaluated exclusion as much more acceptable and were less likely to intervene in the scenarios with negative background information compared to those without additional information. Teachers seem to view exclusion in these situations as an understandable consequence of norm-violating behavior. However, in contrast to our expectations, the ethnic origin of the excluded student in the scenarios had no impact on teachers’ reactions. That is, situational information seems to be much more important for teachers’ reactions to social exclusion than the ethnic origin of an excluded student.
Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction
Authors: Bellitto G. , Proietto Salanitri F. , Palazzo S. , Rundo F. , Giordano D. , Spampinato C. 
Published: October 2021

AbstractIn this work, we propose a 3D fully convolutional architecture for video saliency prediction that employs hierarchical supervision on intermediate maps (referred to as conspicuity maps) generated using features extracted at different abstraction levels. We provide the base hierarchical learning mechanism with two techniques for domain adaptation and domain-specific learning. For the former, we encourage the model to unsupervisedly learn hierarchical general features using gradient reversal at multiple scales, to enhance generalization capabilities on datasets for which no annotations are provided during training. As for domain specialization, we employ domain-specific operations (namely, priors, smoothing and batch normalization) by specializing the learned features on individual datasets in order to maximize performance. The results of our experiments show that the proposed model yields state-of-the-art accuracy on supervised saliency prediction. When the base hierarchical model is empowered with domain-specific modules, performance improves, outperforming state-of-the-art models on three out of five metrics on the DHF1K benchmark and reaching the second-best results on the other two. When, instead, we test it in an unsupervised domain adaptation setting, by enabling hierarchical gradient reversal layers, we obtain performance comparable to supervised state-of-the-art. Source code, trained models and example outputs are publicly available at https://github.com/perceivelab/hd2s.
Narratives underlying research in African river basin management
Authors: Kleinschroth Fritz , Lumosi Caroline , Bantider Amare , Anteneh Yilikal , van Bers Caroline 
Published: October 2021

AbstractRiver modifications through hydropower dams and other infrastructure have far-reaching economic, ecological and social effects that are viewed in highly contrasting ways depending on underlying narratives. As part of a Euro-African research consortium funded by the European Commission we studied pathways for sustainable river basin management in the Omo-Turkana basins in Ethiopia and Kenya. Based on a literature review, stakeholder workshops, targeted interviews and considering our own positionality, we identified underlying narratives related to (a) economic transformation and modernization, (b) indigenous rights and (c) nature conservation, which were all connected through water, energy, food and ecosystems within a (d) landscape nexus. Yet, we also identified a (e) living museum narrative suggesting that international advocacy for indigenous rights and nature conservation is a means through which Western societies want to preserve African societies in an “undeveloped” state. National governments use this narrative to silence external critique, while the tourism industry promotes it to advertise visits to pastoralist tribes. This narrative reveals powerful, yet largely ignored hindrances for collaborative projects resulting from cultural and historical biases in Euro-African collaborations. Based on our analysis, we argue that international research projects in sustainability sciences need to increase the transparency of open and hidden narratives that influence research directions and power relationships between scientific partners, also those using mostly technically-driven approaches. We emphasize that African landscapes are not to be viewed as living museums, and collaborative research should be based on fairness, respect, care, and honesty to allow for multiple narratives that underlie research.
On the Role of Stirring on Microstructure and Ductility of Rheocast Al Alloys
Authors: Zhang Qing , Jonsson Stefan , Jarfors Anders E. W. 
Published: October 2021

AbstractTwo alloys containing different Mg contents have been used to study the combined effect of stirring and oxidation on microstructure and ductility. The results show that intensive stirring can sufficiently disperse the α-Al particles and enable better liquid feeding during solidification and consequently reduce the porosity. The morphology of the oxides is determined by the amount of both Mg and stirring. With lower Mg content, the oxides present as oxide films, which can be broken up during stirring. In alloy with higher Mg content, the oxides exist as particles with numerous cracks, and the particle size increases slightly after stirring. In the Magsimal 59 alloy, due to the presence of large clusters of pores in the fracture surface, the influence of the small oxide particles on the ductility is negligible. In contrast, in the 42000 alloy, large oxide films on the fracture surface are correlated with the ductility.
Exploring the Complexities of Postpartum Sexual Health
Authors: O’Malley Deirdre , Higgins Agnes , Smith Valerie 
Published: October 2021

Abstract
Purpose of Review
This paper explores the complexities of postpartum sexual health. It answers the question on what should be considered normal sexual health after birth and what should be considered abnormal.

Recent Findings
Many women experience physical sexual health issues in the months after birth, such as dyspareunia, lack of vaginal lubrication and a loss of sexual desire. For some women, these issues can persist 12 and 18 months after birth. Mode of birth is not associated with long-term dyspareunia 6 and 12 months after birth. There is conflict seen in the literature with regard to the association between perineal trauma and short-and long-term sexual health. Breastfeeding and the existence of pre-existing sexual health issues are strongly predictive of sexual health issues at 6 and 12 months after birth. Women have described a discordance in their sexual desire to that of their partner, for some this caused distress but for couples who communicated their feelings of sexual desire, concern over baby’s well-being and adapting to parenthood distress was not experienced. Resuming sexual intercourse after birth was not spontaneous, women considered their mode of birth, the presence of perineal trauma and their physical and emotional recovery from birth. One fifth of women had not resumed sexual intercourse 12 weeks after birth.

Summary
A discussion is presented on the challenges associated with viewing postpartum sexual health from a physical perspective only, and why prevalence studies alone do not capture the nuances of postpartum sexual health. Future research needs to take account of the psychosocial and relational dimensions of postpartum sexual health as well as physical dimensions.
Sant’Imbenia (Alghero): further archaeometric evidence for an Iron Age market square
Authors: Clemenza M. , Billeci B. , Carpinelli M. , Ferrante M. , Fiorini E. , Gasperetti G. , Nisi S. , Oliva P. , Sipala V. , Trincherini P. R. , Villa I. M. , Rendeli M. 
Published: October 2021

AbstractLead isotope compositions were determined for 18 metal objects from the archaeological site of Sant’Imbenia, NW Sardinia, dating to the end of the ninth century BCE onwards. The provenance of some objects is unambiguously traced to SW Sardinia; other objects could derive either from central Sardinia or the Iberian coastal ranges. The variety of the provenances attests to a wide trade network that spanned the entire island of Sardinia and extended to the Iberian sites.
Hadley Circulation in the Present and Future Climate Simulations of the K-ACE Model
Authors: Hur Ije , Kim Minju , Kwak Kyungmin , Sung Hyun Min , Byun Young-Hwa , Song Hajoon , Yoo Changhyun 
Published: October 2021

AbstractHadley circulation (HC) is a planetary-scale overturning circulation in the tropics that transports momentum, heat, and moisture poleward. In this study, we evaluate the strength and extent of the HC in the historical and future climate simulations of the Korean Meteorological Administration (KMA) Advanced Community Earth system model (K-ACE), which was recently developed by the National Institute of Meteorological Sciences of Korea. Compared with a reanalysis product, the overall structure of the HC is reasonably reproduced by the K-ACE. At the same time, it is also found that the Northern Hemisphere HC in the K-ACE is shifted southward by a few degrees, while the strength of the Southern Hemisphere (SH) HC is under-represented by approximately 20%. These biases in the strength and extent of the HC can be explained by biases in the eddy momentum flux and precipitation in the tropics. In the future climate simulations under the Shared Socioeconomic Pathway 5-Representative Concentration Pathway 8.5 scenario, the HCs in the K-ACE show a weakening and widening trend in both hemispheres, which is consistent with the projections of many Coupled Model Intercomparison Project Phase 6 models. A notable feature of the K-ACE is the widening of the SH HC, which takes place at a rate that is about double the multi-model mean. Climate models that share the component models with the K-ACE, such as UKESM, HadGEM3-GC31-LL, and ACCESS-CM2/ESM1, also show enhanced poleward expansion of the HC in the SH. This strong expansion is shown to be dominated by the expansion of the regional HC over the Pacific.
A New Conceptual Framework for Integrating Earth Observation in Large-scale Wetland Management in East Africa
Authors: Steinbach Stefanie , Cornish Natalie , Franke Jonas , Hentze Konrad , Strauch Adrian , Thonfeld Frank , Zwart Sander J. , Nelson Andrew 
Published: October 2021

AbstractWetlands are abundant across the African continent and provide a range of ecosystem services on different scales but are threatened by overuse and degradation. It is essential that national governments enable and ensure the sustainable use of wetland resources to maintain these services in the long run. As informed management decisions require reliable, up-to-date, and large coverage spatial data, we propose a modular Earth observation-based framework for the geo-localisation and characterization of wetlands in East Africa. In this study, we identify four major challenges in spatial data supported wetland management and present a framework to address them. We then apply the framework comprising Wetland Delineation, Surface Water Occurrence, Land Use/Land Cover classification and Wetland Use Intensity for the whole of Rwanda and evaluate the ability of these layers to meet the identified challenges. The layers’ spatial and temporal characteristics make them combinable and the information content, of each layer alone as well as in combination, renders them useful for different wetland management contexts.
Multiple infill criterion-assisted hybrid evolutionary optimization for medium-dimensional computationally expensive problems
Authors: Qin Shufen , Li Chan , Sun Chaoli , Zhang Guochen , Li Xiaobo 
Published: October 2021

AbstractSurrogate-assisted evolutionary algorithms have been paid more and more attention to solve computationally expensive problems. However, model management still plays a significant importance in searching for the optimal solution. In this paper, a new method is proposed to measure the approximation uncertainty, in which the differences between the solution and its neighbour samples in the decision space, and the ruggedness of the objective space in its neighborhood are both considered. The proposed approximation uncertainty will be utilized in the surrogate-assisted global search to find a solution for exact objective evaluation to improve the exploration capability of the global search. On the other hand, the approximated fitness value is adopted as the infill criterion for the surrogate-assisted local search, which is utilized to improve the exploitation capability to find a solution close to the real optimal solution as much as possible. The surrogate-assisted global and local searches are conducted in sequence at each generation to balance the exploration and exploitation capabilities of the method. The performance of the proposed method is evaluated on seven benchmark problems with 10, 20, 30 and 50 dimensions, and one real-world application with 30 and 50 dimensions. The experimental results show that the proposed method is efficient for solving the low- and medium-dimensional expensive optimization problems by compared to the other six state-of-the-art surrogate-assisted evolutionary algorithms.
Time and the embodied other in education: A dimension of teachers’ everyday judgements of student learning
Authors: Edling Silvia 
Published: October 2021

AbstractThe article explores ethical conceptualisations of time that take the existence of the embodied Other in education into consideration. Kristeva’s time/memory paradox is discussed with regard to teachers’ everyday judgements in relation to student learning. In conclusion, learning as an unruptured endeavour is impossible when the time of the embodied Other is taken into account. In this sense, teachers need to be aware of: 1) the time gap between people, 2) the time gap between the conscious and subconscious (time/timelessness), 3) the fact that teachers’ and students’ meaning-making is always tainted by past memory, 4) the ways in which the timelessness of the subconscious crashes into conscious meaning-making in the present and creates ruptures that affect the content of learning and the life conditions of Others, 5) how frozen time (shadow of time) can be used as a way of learning from ruptures, and 6) that processing time(s) is just as important as ‘progressing in it’.