bluuebunny/crossref_metadata_2025_split huggingface dataset:
Healthcare Professionals’ Views on Psychological Support for Children and Families Affected by Skin Conditions in the UK: A Qualitative Study
Authors: Hughes Olivia , Shelton Katherine H. , Thompson Andrew R. 
Published: March 2024

Abstract

Background
Skin conditions can have a psychological impact on a child and their caregivers, however, support is not equally distributed between geographical regions in the United Kingdom (UK).

Objectives
This study aimed to investigate the experience of National Health Service (NHS) healthcare professionals (HCPs) of addressing the psychological needs of children with skin conditions and their families, and gain expert opinion as to how services need to further develop.

Design
HCPs were recruited to a qualitative study with an advert posted on social media.

Methods
Fifteen HCPs took part in interviews, including dermatologists (n = 4), dermatology nurse consultants/specialists (n = 4), clinical psychologists (n = 4), liaison psychiatrists (n = 2), and a children’s psychological well-being practitioner (n = 1).

Results
Thematic analysis revealed children often presented with anxiety, depression, self-harm and suicidal ideation. The impact on caregivers was equally profound. There were differences in service provision across the UK and all HCPs recognised the urgent need for psychological support to be integrated into standard care. Participants described how a range of interventions are typically required including cognitive behavioural therapy (CBT), and systemic approaches, as well as mindfulness/third-wave approaches. Barriers to the delivery of psychological services were associated with a lack of funding and training opportunities for core and specialist staff alike. However, in some instances, participants had overcome these challenges to be able to deliver unique services.

Conclusions
There exist several barriers to providing paediatric psychological interventions, and many locations across the UK remain vulnerable as a result of continuing lack of national guidelines for the provision of psychological services.
Hierarchical foraging strategies of migratory short-tailed shearwaters during the non-breeding stage
Authors: Bool Natalie , Sumner Michael D. , Lea Mary-Anne , McMahon Clive R. , Hindell Mark A. 
Published: March 2024

AbstractForaging specialisations are common in animal populations, because they increase the rate at which individuals acquire food from a known and reliable source. Foraging plasticity, however, may also be important in variable or changing environments. To better understand how seabirds might respond to changing environmental conditions, we assessed how plastic the foraging behaviours of short-tailed shearwaters (Ardenna tenuirostris) were during their non-breeding season. To do this, we tracked 60 birds using global location sensing loggers (GLS) over a single year between 2012 and 2016 with the exception of 8 individuals that were tracked over 2 consecutive years. Birds predominantly foraged in either the Sea of Okhotsk/North Pacific Ocean (Western strategy) or the southeast Bering Sea/North Pacific (Eastern strategy). The eight birds tracked for 2 consecutive years all returned to the same core areas, indicating that these birds were faithful to foraging areas between years, although the time spent there varied, probably in response to local changes in food availability. Overall, 50% of the birds we tracked left their core area towards the end of the non-breeding period, moving into the Chukchi Sea, suggesting that the birds have flexible intra-seasonal foraging strategies whereby they follow prey aggregations. We hypothesise that seasonal declines in chlorophyll a concentrations in their primary core foraging areas coincide with changes in the availability of large-bodied krill, an important food source for short-tailed shearwaters. Decreasing prey abundance likely prompts the movement of birds out of their core foraging areas in search of food elsewhere. This strategy, through which individuals initially return to familiar areas but disperse if food is limited, provides a mechanism that allows the birds to respond to the effects of climate variability.
Diaphragmatic dysfunction is associated with postoperative pulmonary complications and phrenic nerve paresis in patients undergoing thoracic surgery
Authors: Nørskov Jesper , Skaarup Søren Helbo , Bendixen Morten , Tankisi Hatice , Mørkved Amalie Lambert , Juhl-Olsen Peter 
Published: March 2024

Abstract
Purpose
We aimed to quantify perioperative changes in diaphragmatic function and phrenic nerve conduction in patients undergoing routine thoracic surgery.

Methods
A prospective observational study was performed in patients undergoing esophageal resection or pulmonary lobectomy. Examinations were carried out the day prior to surgery, 3 days and 10–14 days after surgery. Endpoints for diaphragmatic function included ultrasonographic measurements of diaphragmatic excursion and thickening fraction. Endpoints for phrenic nerve conduction included baseline-to-peak amplitude, peak-to-peak amplitude, and transmission delay. Measurements were assessed on both the surgical side and the non-surgical side of the thorax.

Results
Forty patients were included in the study. Significant reductions in diaphragmatic excursion were seen on the surgical side of the thorax for all excursion measures (posterior part of the right hemidiaphragm, p < 0.001; hemidiaphragmatic top point, p < 0.001; change in intrathoracic area, p < 0.001). Significant changes were seen for all phrenic nerve measures (baseline-to-peak amplitude, p < 0.001; peak-to-peak amplitude, p < 0.001; transmission delay, p = 0.041) on the surgical side. However, significant changes were also seen on the non-surgical side for all phrenic nerve measures (baseline-to-peak amplitude, p < 0.001; peak-to-peak amplitude, p < 0.001; transmission delay, p = 0.022). A postoperative reduction in posterior diaphragmatic excursion of more than 50% was significantly associated with postoperative pulmonary complications (coefficient: 2.69 (95% CI [1.38, 4.01], p < 0.001).

Conclusion
Thoracic surgery caused a significant unilateral reduction in diaphragmatic excursion on the surgical side of the thorax, which was accompanied by significant changes in phrenic nerve conduction. However, phrenic nerve conduction was also significantly affected on the non-surgical side to a lesser extent, which was not mirrored in diaphragmatic excursion. Our findings suggest that phrenic nerve paresis plays a role in postoperative diaphragmatic dysfunction, which may be a contributing factor in the pathogenesis of postoperative pulmonary complications.

Clinical trials registration number
NCT04507594.
SARS-CoV2 Nsp1 is a metal-dependent DNA and RNA endonuclease
Authors: Salgueiro Bruno A. , Saramago Margarida , Tully Mark D. , Issoglio Federico , Silva Sara T. N. , Paiva Ana C. F. , Arraiano Cecília M. , Matias Pedro M. , Matos Rute G. , Moe Elin , Romão Célia V. 
Published: March 2024

AbstractOver recent years, we have been living under a pandemic, caused by the rapid spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). One of the major virulence factors of Coronaviruses is the Non-structural protein 1 (Nsp1), known to suppress the host cells protein translation machinery, allowing the virus to produce its own proteins, propagate and invade new cells. To unveil the molecular mechanisms of SARS-CoV2 Nsp1, we have addressed its biochemical and biophysical properties in the presence of calcium, magnesium and manganese. Our findings indicate that the protein in solution is a monomer and binds to both manganese and calcium, with high affinity. Surprisingly, our results show that SARS-CoV2 Nsp1 alone displays metal-dependent endonucleolytic activity towards both RNA and DNA, regardless of the presence of host ribosome. These results show Nsp1 as new nuclease within the coronavirus family. Furthermore, the Nsp1 double variant R124A/K125A presents no nuclease activity for RNA, although it retains activity for DNA, suggesting distinct binding sites for DNA and RNA. Thus, we present for the first time, evidence that the activities of Nsp1 are modulated by the presence of different metals, which are proposed to play an important role during viral infection. This research contributes significantly to our understanding of the mechanisms of action of Coronaviruses.
Haunting the Margins: Excavating EU Migrants as the ‘Social Ghosts’ of Our Time
Authors: Nyhlén Sara , Skott Sara , Giritli Nygren Katarina 
Published: March 2024

AbstractUsing the spectral as a conceptual metaphor, we explore narratives within Sweden’s welfare institutions and policy discourses surrounding vulnerable EU citizens. We aim to provide a new understanding of vulnerable EU citizens as the social ghosts of our time by exploring how the concept of the social ghost and hauntology can be used to perform ethical critique of social injustice. By excavating examples from already gathered material, we explore the unseen within the already seen to critically examine how vulnerable EU citizens are constructed in social welfare narratives. We argue that the terminology of vulnerable EU citizens not only is constructed as uncanny and abject but also as social ghosts, denied a social and political identity and forced to haunt the margins of societal life. Moreover, we argue that the Swedish state becomes a site for necropolitical power, enabling but also perpetuating lingering violent effects on Roma people.
Characteristics of planar buoyant jets and plumes in a turbulent channel crossflow from direct numerical simulations
Authors: Cao Yicheng , Ooi Andrew , Philip Jimmy 
Published: March 2024

AbstractThis paper is motivated by an interest in understanding the characteristics of buoyant fluids discharged from the bottom wall of channels, such as encountered during tunnel fires or in river effluent discharge. Direct numerical simulation is used to model the upward release of a planar buoyant jet or plume from the bottom wall of a channel into an incoming turbulent crossflow. The well-studied jet-in-crossflow with only a momentum source is simulated first, and subsequently, fixing the incoming Reynolds number, buoyancy source as heat flux is added alongside varying momentum source, with two cases where only a buoyancy source is present. Appropriate five non-dimensional parameters relevant for this flow are defined, of which three are fixed and two—source to channel momentum ratio and Richardson number—are varied. The changes in turbulence characteristics as the buoyant jet or plume evolves downstream are presented. In all cases with buoyancy, except for the pure jet case, the plume is initially confined to the lower half of the channel before it suddenly lifts to the top half, an effect that occurs at an increasingly smaller downstream distance with increasing buoyancy, and dividing the flow into a near and far field. The distributions of mean and Reynolds stresses in the near and far field of the source are reported, and it is found that the channel flow becomes more turbulent downstream of the source, and further, the turbulent vertical temperature flux switches sign from near to far field owing the a change in the mean temperature gradient sign. From the input parameters and using the integrated temperature equation a reasonable estimate of the far field mean channel temperature can be obtained by a reference temperature based on the heat conservation that includes the convective and diffusive source heat flux. A monotonic behaviour of the back-layering distance is also observed a function of this reference temperature, which was difficult to obtain with the two specified non-dimensional parameters.
Spare the Rod?: College Students’ Experiences with and Perceptions of Corporal Punishment
Authors: Policastro Christina , Rush Zachary , Garland Tammy S. , Crittenden Courtney A. 
Published: March 2024

AbstractCorporal punishment (e.g., spanking) remains a highly debated yet common form of discipline in the United States. A body of research exists investigating the prevalence and effects of corporal punishment; however, less attention has been devoted to factors influencing individual perceptions of corporal punishment. The current study explores college students’ perceptions of corporal punishment with a specific focus on students’ experiences with physical discipline and factors that may influence students’ intentions to use physical discipline with their own children. Relying on a convenience sampling methodology, the current research is based on a sample of 318 students, who participated in a pen-and-paper survey. Findings reveal that most students experienced corporal punishment (86.8%) and roughly three-quarters intend to use physical discipline with their children. Moreover, positive attitudes towards physical forms of punishment were positively associated with intentions to use corporal punishment (OR = 1.494; ***p < 0.001). Despite most participants reporting experiences with corporal punishment and intending to use physical discipline with their children, many felt better disciplinary methods were available. Given that attitudes were correlated with intention to use, educational programs and curricular endeavors to inform individuals of the negative impact of corporal punishment, as well as alternative non-physical discipline strategies are recommended as ways to reduce reliance on physical forms of discipline.
Analysis and prediction of performance variability in large-scale computing systems
Authors: Salimi Beni Majid , Hunold Sascha , Cosenza Biagio 
Published: March 2024

AbstractThe development of new exascale supercomputers has dramatically increased the need for fast, high-performance networking technology. Efficient network topologies, such as Dragonfly+, have been introduced to meet the demands of data-intensive applications and to match the massive computing power of GPUs and accelerators. However, these supercomputers still face performance variability mainly caused by the network that affects system and application performance. This study comprehensively analyzes performance variability on a large-scale HPC system with Dragonfly+ network topology, focusing on factors such as communication patterns, message size, job placement locality, MPI collective algorithms, and overall system workload. The study also proposes an easy-to-measure metric for estimating network background traffic generated by other users, which can be used to estimate the performance of our job accurately. The insights gained from this study contribute to improving performance predictability, enhancing job placement policies and MPI algorithm selection, and optimizing resource management strategies in supercomputers.
Loading and structural stiffness of tandem bicycle frames
Authors: Symons Digby 
Published: March 2024

AbstractTandem bicycles are used for all para-cycling events for visually impaired athletes. Tandems are structurally more challenging to design than solo bicycles: they must resist higher loading over a longer wheelbase, yet must still fit between the legs of the riders. Despite this, there is limited published work on tandem design. This paper presents a method for determining maximal loading of a tandem bicycle frame in racing scenarios. The only inputs required are the dimensions of the frame and the torques exerted by the riders. Outputs are the forces acting on the frame. The method is used to provide loads for structural analyses of tandem frames of different topologies. Twisting of the frame under a starting effort is shown to be the worst load case. The “double diamond” is shown to be the most efficient tubular frame design, on a stiffness per weight basis, but is only 2% superior to an “open” topology.
A Three-Step Test for Determining Patent Infringement Related to Repair
Authors: Heath Christopher 
Published: March 2024

AbstractRepair, refill and recycle (in the following: repair) of physical goods is a necessity and a convenience – mending is better than ending, at least for the consumer. Where the goods to be repaired are patented, the question arises whether such act of repair infringes the patent, and under what conditions. There are different approaches by national courts on this matter, and it will eventually be the task – and the chance – of the Unified Patent Court to find its own solution to this issue. The author in this regard proposes a three-step test.
Beneath the surface, below the line: Exploring household differentiation at Las Cuevas using Gini coefficients
Authors: Montgomery Shane , Moyes Holley 
Published: March 2024

AbstractDuring the Late Classic period (a.d. 550–900), ancient Maya settlement spread throughout western Belize, including the Vaca Plateau, a rugged karstic region with high densities of ritually utilized cave systems. Within the past decade, archaeologists have increasingly drawn on LiDAR technology to document the extent of such settlement at local and regional scales. Combined with traditional pedestrian survey, we have begun to amass substantial data on variation within household groups, disparities which may indicate inequality within these communities. Here, we use settlement data generated from the Las Cuevas region to quantify residential variation through Gini coefficients and Lorenz curves. Special attention is given to areal and volumetric deviation of identified households within three samples: (1) the complete 95.25 km2 study area; (2) a 12.25 km2 zone of higher population between the primary centers of Las Cuevas and Monkey Tail; and (3) households situated within 500 m of ritually utilized caves within the study area. Results indicate some degree of variation within household area and volume for all samples, suggestive of unequal access to labor within the region. This research adds to the growing database of Gini-based analyses to improve our understanding of wealth differentials within pre-modern populations throughout the Lowlands.
A Comparison of Inversion Methods for Surrogate‐Based Groundwater Contamination Source Identification With Varying Degrees of Model Complexity
Authors: Chang Zhenbo , Guo Zhilin , Chen Kewei , Wang Zibo , Zhan Yang , Lu Wenxi , Zheng Chunmiao 
Published: March 2024

AbstractAccurate identification of groundwater contamination sources is important for designing efficacious site remediation strategies. Currently, the methods for identifying contamination sources mainly fall into three distinct categories: simulation optimization, Bayesian inference, and data assimilation. Each method has its own advantages and disadvantages under specific site conditions. To evaluate the applicability of these methods, we chose one representative inversion algorithm from each category, namely the Improved Butterfly Optimization Algorithm (IBOA) for simulation optimization, the Ensemble Smoother with Multiple Data Assimilation (ES‐MDA) for data assimilation, and the DiffeRential Evolution Adaptive Metropolis with a Snooker Update and Sampling from a Past Archive (DREAM(ZS)) for Bayesian inference. We conducted a comprehensive evaluation of these methods' performance under different model complexities, employing a surrogate model as a substitute for the complex forward model. By addressing two distinct problems involving conservative pollutant transport and Light Non‐Aqueous Phase Liquid (LNAPL) transport with biodegradation, we employed four criteria (elapsed time, result accuracy, posterior probability distribution, and noise resistance) for evaluation. The findings unequivocally indicate that DREAM(ZS) outperforms others in terms of result accuracy and posterior probability distribution. It also adeptly navigates the interrelations among disparate unknown variables. The strength of ES‐MDA lies in its efficiency. It achieves relatively satisfactory results with a reduced computational burden. In contrast, IBOA underperforms in both test problems. In terms of resistance to noise, both DREAM(ZS) and ES‐MDA perform better than IBOA does.
An optimized design for motivated broadband LPDA antenna
Authors: Ibrahim Islam M. , Ahmed Mohamed I. , Abdelkader Hala M. , Elsherbini M. M. 
Published: March 2024

AbstractThis paper presents a super wideband and high-gain log periodic dipole array (LPDA) antenna. The overall structure of the antenna was constructed using microwave studio computer simulation technology. The optimal sizes of the planned antenna are 39 × 10× 0.254 mm3. The engineered antenna arrangement is implemented on an RT5880 substrate as a dielectric medium. The LPDA is arranged in four arms that are equally spaced on both lines. The main 50Ω feeder line is partially grounded at the back of the substrate. A combination of circular director units is being studied and tuned in a regular pattern at a predefined distance from the antenna. An improvement in gain of 3 dBi is the response of the director units. The Conformist LPDA is adjusted to achieve a wide range of millimeter wave bands ranging from 40 to over 70 GHz. The antenna resonates at 60 GHz, where the maximum realized gain of 14.97 dBi is attained. The antenna was tested for utilization in the V-band involving wireless personal area network (WPAN) applications recommended by IEEE 802.11ad and IEEE 802.15.3c. The outcomes of the constructed antenna elements' tests and simulations agree fairly well. The proposed layout works better than previous efforts in this field.
Multiple serous cavity effusion screening based on smear images using vision transformer
Authors: Wang Chunbao , Wang Xiangyu , Gao Zeyu , Ran Caihong , Li Chen , Ding Caixia 
Published: March 2024

AbstractSerous cavity effusion is a prevalent pathological condition encountered in clinical settings. Fluid samples obtained from these effusions are vital for diagnostic and therapeutic purposes. Traditionally, cytological examination of smears is a common method for diagnosing serous cavity effusion, renowned for its convenience. However, this technique presents limitations that can compromise its efficiency and diagnostic accuracy. This study aims to overcome these challenges and introduce an improved method for the precise detection of malignant cells in serous cavity effusions. We have developed a transformer-based classification framework, specifically employing the vision transformer (ViT) model, to fulfill this objective. Our research involved collecting smear images and corresponding cytological reports from 161 patients who underwent serous cavity drainage. We meticulously annotated 4836 patches from these images, identifying regions with and without malignant cells, thus creating a unique dataset for smear image classification. The findings of our study reveal that deep learning models, particularly the ViT model, exhibit remarkable accuracy in classifying patches as malignant or non-malignant. The ViT model achieved an impressive area under the receiver operating characteristic curve (AUROC) of 0.99, surpassing the performance of the convolutional neural network (CNN) model, which recorded an AUROC of 0.86. Additionally, we validated our models using an external cohort of 127 patients. The ViT model sustained its high-level screening performance, achieving an AUROC of 0.98 at the patient level, compared to the CNN model’s AUROC of 0.84. The visualization of our ViT models confirmed their capability to precisely identify regions containing malignant cells in multiple serous cavity effusion smear images. In summary, our study demonstrates the potential of deep learning models, particularly the ViT model, in automating the screening process for serous cavity effusions. These models offer significant assistance to cytologists in enhancing diagnostic accuracy and efficiency. The ViT model stands out for its advanced self-attention mechanism, making it exceptionally suitable for tasks that necessitate detailed analysis of small, sparsely distributed targets like cellular clusters in serous cavity effusions.