bluuebunny/crossref_metadata_2025_split huggingface dataset:
Suspected Laminosioptes cysticola (fowl cyst mite) lesions in backyard chickens in southern England
Authors: Grist Andy , Parsons David G. , Bianco Carlo , Cafiso Alessandra , Foster Aiden P. 
Published: July 2022

AbstractPostmortem examination of poultry from several backyard flocks in the south of England revealed five chickens (Gallus gallus) from one backyard flock with lesions compatible with the fowl cyst mite (Laminosioptes cysticola). All affected birds were mature hens and had subcutaneous and fascial, randomly scattered, 1–5 mm, calcareous nodules. Histological findings included a thin fibrous capsule, embedding glassy, pale basophilic acellular material that stained positive with von Kossa histochemistry consistent with mineralization. There were also some granulomatous lesions, detected in two of five birds, that were biconvex and made of an accumulation of amorphous eosinophilic material, collagen‐like fibrillary material and fibroblasts, embedding some yellow to brown, refractile flakes and fragments of foreign bodies (suspected acarid exoskeletal remnants). Fresh and formalin‐fixed tissues were examined by PCR for mite DNA with no positive results. Laminosioptes mites may be present in British backyard poultry.
Three ytterbium(III) complexes with aromatic N‐donors: Synthesis, structure, photophysical properties and thermal stability
Authors: Zhernakov Maksim A. , Sedykh Alexander E. , Becker Jonathan , Maxeiner Moritz , Müller‐Buschbaum Klaus , Shtyrlin Valery G. 
Published: July 2022

AbstractThree new ytterbium complexes of the general formula [YbL2Cl3] with expanded aromatic N‐donor based ligands based on 1,10‐phenanthroline (dipyrido‐[3,2‐f : 2′,3′‐h]‐quinoxaline (DPQ), 2‐methyldipyrido‐[3,2‐f : 2′,3′‐h]‐quinoxaline (MeDPQ) and 1,10‐phenanthroline (Phen)) were synthesized and characterized using different structural analysis, simultaneous thermal analysis, and photoluminescence, and UV‐Vis‐NIR spectroscopy. The compounds were obtained by the reaction of ytterbium(III) chloride hexahydrate and the corresponding aromatic N‐donor through substitution of water from the coordination sphere with the organic ligand. Photoluminescence studies revealed Yb3+‐based NIR emission of the corresponding compounds with following luminescence lifetimes [Yb(DPQ)2Cl3] (1) – 7.8(1) μs, [Yb(MeDPQ)2Cl3] (2) – 9.3(1) μs, [Yb(Phen)2Cl3] (3) – 8.7(1) μs. The resulting complexes are stable under atmospheric conditions, exhibit good thermal stability, and start to oxidize only at sufficiently high temperatures: (1) at 470 °C, (2) at 430 °C, and (3) at 395 °C.
A Mobile App to Help People Affected by Visual Snow
Authors: Perri Damiano , Simonetti Marco , Gervasi Osvaldo , Amato Natale 
Published: July 2022

AbstractVisual Snow Syndrome is a neurological disease that causes flashing dots to appear throughout the visual field. Patients claim to see an endless stream of flashing dots throughout their visual area. Although patients frequently experience concurrent migraine, visual snow appears to be a distinct phenomenon from prolonged migraine aura. VSS has been linked to eye illness, thalamic dysfunctions, pure cortical phenomena, and disturbing connections between optical networks and nervous system networks. Any process may interact with or be causative of various symptoms and clinical aspects associated with VSS. The pathophysiology of Visual Snow Syndrome (VSS) and its likely location are currently being debated. In this work, the goal we have set as a team is to create an Android software application capable of representing what people with Visual Snow Syndrome perceive. The aim is to help patients to describe (and even show) the symptomatology of their problem to their doctor. That may be a non-trivial problem since sharing with somebody the shapes, the colours, and the movement of artefacts due to VS-related pathology(s) is a highly complex and, in some cases, frustrating task since this pathology is still little known.
Strategies for the Digitalization of Cultural Heritage
Authors: Gervasi Osvaldo , Perri Damiano , Simonetti Marco , Tasso Sergio 
Published: July 2022

AbstractThe COVID-19 pandemic caused despair, poverty and, above all, pain and death across the planet. Nevertheless, there is no doubt that it has also given a strong global impetus to the digital world, asserting its importance, sustainability and richness of perspectives. With our work we intend to establish a set of best practices aimed at defining methods and technologies that will enable those fascinated by digital technologies to contribute effectively to the digitisation of cultural heritage on a large scale. Various aspects that play a crucial role in the digitisation of artifacts will be discussed, with a focus on the issues involved in the manual realisation of works using Blender and Unity software. For demonstration purposes, two very popular use cases in the Umbria region of Italy are presented: “Piazza IV Novembre” in Perugia with the magnificent “Fontana Maggiore”, the “Palazzo dei Priori” and the Duomo on one side and the Republic square in Foligno on the other, with the Duomo, the Bishop’s house and the Diocesan Museum, the Town Hall and “Palazzo Trinci”. The first realization was carried out using photogrammetry techniques, the software Blender and Unity, while the second was carried out exclusively with Blender and Unity.The theme is highly relevant in Europe, particularly Italy, where the topic is part of the post-COVID-19 National Recovery and Resilience Plan (NRRP).
Asymptotic structure of the gravitational field in five spacetime dimensions: Hamiltonian analysis
Authors: Fuentealba Oscar , Henneaux Marc , Matulich Javier , Troessaert Cédric 
Published: July 2022

Abstract
We develop the analysis of the asymptotic properties of gravity in higher spacetime dimensions D, with a particular emphasis on the case D = 5. Our approach deals with spatial infinity and is Hamiltonian throughout. It is shown that the asymptotic symmetry algebra BMS5, which is realized non linearly, contains a four-fold family of angle- dependent supertranslations. The structure of this non-linear algebra is investigated and a presentation in which the Poincaré subalgebra is linearly realized is constructed. Invariance of the energy is studied. Concluding comments on higher dimensions D ≥ 6 are also given.
Bootstrapping a stress-tensor form factor through eight loops
Authors: Dixon Lance J. , Gürdoğan Ömer , McLeod Andrew J. , Wilhelm Matthias 
Published: July 2022

Abstract
We bootstrap the three-point form factor of the chiral stress-tensor multiplet in planar $$ \mathcal{N} $$
N
= 4 supersymmetric Yang-Mills theory at six, seven, and eight loops, using boundary data from the form factor operator product expansion. This may represent the highest perturbative order to which multi-variate quantities in a unitary four-dimensional quantum field theory have been computed. In computing this form factor, we observe and employ new restrictions on pairs and triples of adjacent letters in the symbol. We provide details about the function space required to describe the form factor through eight loops. Plotting the results on various lines provides striking numerical evidence for a finite radius of convergence of perturbation theory. By the principle of maximal transcendentality, our results are expected to give the highest weight part of the gg → Hg and H → ggg amplitudes in the heavy-top limit of QCD through eight loops. These results were also recently used to discover a new antipodal duality between this form factor and a six-point amplitude in the same theory.
Hyperbolic 5-manifolds that fiber over $$S^1$$
Authors: Italiano Giovanni , Martelli Bruno , Migliorini Matteo 
Published: July 2022

AbstractWe exhibit some finite-volume cusped hyperbolic 5-manifolds that fiber over the circle. These include the smallest hyperbolic 5-manifold known, discovered by Ratcliffe and Tschantz. As a consequence, we build a finite type subgroup of a hyperbolic group that is not hyperbolic.
Of Fears and Budgets: Strategies of Control in Vespa velutina Invasion and Lessons for Best Management Practices
Authors: Pazos Tamara , Álvarez-Figueiró Patricia , Cortés-Vázquez Jose A. , Jácome María Amalia , Servia María J. 
Published: July 2022

AbstractImplementing management practices for the control of invasive species can be a complex task with multiple dimensions, where the identification of stakeholders and drivers of those practices is of paramount importance. The invasive hornetVespa velutinahas spread across Europe and Asia from its native range in SE Asia in recent years. A common control method is the removal and destruction of its nests on citizens’ request to call centers. In this paper we have explored the knowledge and main factors that influence the perceptions of the citizens on the species in an invaded municipality in NW Spain, as well as the management practices of the municipal emergency unit responsible for nest removal activities. Our analysis brings out multiple drivers of management practices that derive both from the citizens’ and practitioners’ knowledge, and highlights several points of conflict between both stakeholder groups connected to (1) the degree of service provided to the local population, (2) the risk of allergic reactions as a motive to urge removals, or (3) the quality of information provided by mass media. Our results support the crucial importance of environmental education programs that seek to increase the knowledge of the general public about the threats of invasive species. Such programs might be incorporated to implement and optimize management plans ofV. velutinaby enhancing communication between experts and local population.
Prevalence and novel risk factors for vitamin D insufficiency in elite athletes: systematic review and meta-analysis
Authors: Harju Tilda , Gray Blair , Mavroedi Alexandra , Farooq Abdulaziz , Reilly John Joseph 
Published: July 2022

Abstract
Background and purpose
Vitamin D insufficiency may be common among elite athletes, but prevalence is unclear, and some potentially important risk factors are uncertain. The present study aimed to (a) estimate the prevalence of vitamin D insufficiency in elite athletes, and (b) examine differences in prevalence between the sexes, and between adults and adolescents, from recent studies which used a contemporary definition of insufficiency.

Methods
Four databases (Web of Science, SPORTDiscus, PubMed, and Sports Medicine and Education Index) were searched for studies in elite athletes. Literature selection, data extraction, and risk of bias assessment were conducted independently by two researchers. Vitamin D insufficiency was defined as 25(OH)D < 50 nmol/L. Meta-analysis was conducted, using R software x64 4.0.2, to provide estimates of prevalence of insufficiency for adults and adolescents, and to examine between-sex differences in risk of insufficiency.

Results
From the initial 943 literature search hits, 51 studies were eligible with 5456 participants, 33 studies in adults (12/33 in winter and spring), 15 studies in adolescents (6/15 in winter and spring) and 3 studies with age of study participants not given. Prevalence of vitamin D insufficiency from meta-analysis was 30% (95% CI 22–39%) in adults and prevalence was higher, though not significantly so, at 39% (95% CI 25–55%) in adolescents. Differences in the prevalence of insufficiency between the sexes for the eight studies which provided within-study comparisons was not significant (RR = 1.0; 95% CI 0.79–1.26). Evidence quality was moderate.

Conclusions
Prevalence of vitamin D insufficiency (≤ 50 nmol/L) in elite athletes is high, suggesting a need for greater attention to prevention and treatment. Prevalence estimates in the present study are conservative due to a relative lack of studies in winter. While there was no evidence of higher risk among women than men in the present study, there was less evidence on women.
The expression of the adenosine pathway markers CD39 and CD73 in salivary gland carcinomas harbors the potential for novel immune checkpoint inhibition
Authors: Bauer Arthur , Gebauer Niklas , Knief Juliana , Tharun Lars , Arnold Nele , Riecke Armin , Steinestel Konrad , Witte Hanno M. 
Published: July 2022

Abstract
Background
In salivary gland carcinomas (SGC), there is only a small fraction of entities that appears to profit from immune checkpoint inhibition (ICI). Recent findings connected the activation of adenosine-signaling with a tolerogenic microenvironment. Therefore, the inhibition of adenosine pathway markers (CD39 and/or CD73) can augment ICI and/or display a novel immunotherapeutic strategy beyond ICI. Here, we assessed the immuno-histochemical expression of CD39 and CD73 across a wide spectrum of SGCs.

Methods
In total, 114 patients with SGCs consecutively diagnosed between 2001 and 2021 were assessed for clinicopathological baseline characteristics and underwent confirmatory histopathological review. Immunohistochemical expression levels of CD39 and CD73 were assessed by applying the tumor proportion score (TPS) and the immune proportional score (IPS) comparable to PD-L1 expression analysis in routine clinical practice. Additionally, findings were correlated with PD-L1 expression levels.

Results
The median age was 60.6 and 51.8% patients were female. The cohort covered a spectrum of eight distinct entities. Advanced-stage disease (UICC/AJCC III/IVA-IVC) at initial diagnosis was present in the majority of patients (64/114). Immunohistochemical staining revealed positivity for CD39 and CD73 in 48.2% and 21.1% on tumor cells (TPS ≥ 1%) as well as 46.4% and 42.9% within the immune cell infiltrate (IPS ≥ 1%), respectively. Further comparative analyses revealed immune-cold entities such adenoid cystic carcinoma (AdCC), immune-hot tumors such as adenocarcinoma, not otherwise specified (AC (NOS)) and entities with intermediate immunologic features such as acinic cell carcinoma (ACC).

Conclusion
Current results indicate entity-specific adenosine signaling signatures. These findings suggest that the adenosine pathway plays a decisive role in tumor immunity among the major spectrum of SGCs. Targeting the adenosine pathway might pose a promising therapeutic option for selected entities.
Prediction of hydraulic blockage at culverts from a single image using deep learning
Authors: Iqbal Umair , Barthelemy Johan , Perez Pascal 
Published: July 2022

AbstractCross-drainage hydraulic structures such as culverts and bridges in urban landscapes are prone to get blocked by the transported debris (e.g., urban, vegetated), which often reduces their hydraulic capacity and triggers flash floods. Unavailability of relevant data from blockage-originated flooding events and complex nature of debris accumulation are highlighted factors hindering the research within the blockage management domain. Wollongong City Council (WCC) blockage conduit policy is the leading formal guidelines to incorporate blockage into design guidelines; however, are criticized by the hydraulic engineers for its dependence on the post-flood visual inspections (i.e., visual blockage) instead of peak floods hydraulic investigations (i.e., hydraulic blockage). Apparently, no quantifiable relationship is reported between the visual blockage and hydraulic blockage; therefore, many consider WCC blockage guidelines invalid. This paper exploits the power of Artificial Intelligence (AI), motivated by its recent success, and attempts to relate visual blockage with hydraulic blockage by proposing a deep learning pipeline to predict hydraulic blockage from an image of the culvert. Two experiments are performed where the conventional pipeline and end-to-end learning approaches are implemented and compared in the context of predicting hydraulic blockage from a single image. In experiment one, the conventional deep learning pipeline approach (i.e., feature extraction using CNN and regression using ANN) is adopted. In contrast, in experiment two, end-to-end deep learning models (i.e., E2E_ MobileNet, E2E_ BlockageNet) are trained and compared with the conventional pipeline approach. Dataset (i.e., Hydraulics-Lab Blockage Dataset (HBD), Visual Hydraulics-Lab Dataset (VHD)) used in this research were collected from laboratory experiments performed using scaled physical models of culverts. E2E_ BlockageNet model was reported best in predicting hydraulic blockage with $$R^2$$

R
2

score of 0.91 and indicated that hydraulic blockage could be interrelated with the visual features at the culvert.
Efficient kNN query for moving objects on time-dependent road networks
Authors: Li Jiajia , Ni Cancan , He Dan , Li Lei , Xia Xiufeng , Zhou Xiaofang 
Published: July 2022

AbstractIn this paper, we study the Time-Dependent k Nearest Neighbor (TD-kNN) query on moving objects that aims to return k objects arriving at the query location with the least traveling cost departing at a given time t. Although the kNN query on moving objects has been widely studied in the scenario of the static road network, the TD-kNN query tends to be more complicated and challenging because under the time-dependent road network, the cost of each edge is measured by a cost function rather than a fixed distance value. To tackle such difficulty, we adopt the framework of GLAD and develop an advanced index structure to support efficient fastest travel cost query on time-dependent road network. In particular, we propose the Time-Dependent H2H (TD-H2H) index, which pre-computes the aggregated weight functions between each node to some specific nodes in the decomposition tree derived from the road network. Additionally, we establish a grid index on moving objects for candidate object retrieval and location update. To further accelerate the TD-kNN query, two pruning strategies are proposed in our solution. Apart from that, we extend our framework to tackle the time-dependent approachable kNN (TD-AkNN) query on moving objects targeting for the application of taxi-hailing service, where the moving object might have been occupied. Extensive experiments with different parameter settings on real-world road network show that our solutions for both TD-kNN and TD-AkNN queries are superior to the competitors in orders of magnitude.
Maximizing the Impact of Voluntary Medical Male Circumcision for HIV Prevention in Zambia by Targeting High-Risk Men: A Pre/Post Program Evaluation
Authors: Lukobo-Durrell M. , Aladesanmi L. , Suraratdecha C. , Laube C. , Grund J. , Mohan D. , Kabila M. , Kaira F. , Habel M. , Hines J. Z. , Mtonga H. , Chituwo O. , Conkling M. , Chipimo P. J. , Kachimba J. , Toledo C. 
Published: July 2022

AbstractA well-documented barrier to voluntary medical male circumcision (VMMC) is financial loss due to the missed opportunity to work while undergoing and recovering from VMMC. We implemented a 2-phased outcome evaluation to explore how enhanced demand creation and financial compensation equivalent to 3 days of missed work influence uptake of VMMC among men at high risk of HIV exposure in Zambia. In Phase 1, we implemented human-centered design-informed interpersonal communication. In Phase 2, financial compensation of ZMW 200 (~ US$17) was added. The proportion of men undergoing circumcision was significantly higher in Phase 2 compared to Phase 1 (38% vs 3%). The cost of demand creation and compensation per client circumcised was $151.54 in Phase 1 and $34.93 in Phase 2. Financial compensation is a cost-effective strategy for increasing VMMC uptake among high-risk men in Zambia, and VMMC programs may consider similar interventions suited to their context.
A prognostic survival model for women diagnosed with invasive breast cancer in Queensland, Australia
Authors: Baade Peter D , Fowler Helen , Kou Kou , Dunn Jeff , Chambers Suzanne K , Pyke Chris , Aitken Joanne F 
Published: July 2022

AbstractPurposePrognostic models can help inform patients on the future course of their cancer and assist the decision making of clinicians and patients in respect to management and treatment of the cancer. In contrast to previous studies considering survival following treatment, this study aimed to develop a prognostic model to quantify breast cancer-specific survival at the time of diagnosis.MethodsA large (n = 3323), population-based prospective cohort of women were diagnosed with invasive breast cancer in Queensland, Australia between 2010 and 2013, and followed up to December 2018. Data were collected through a validated semi-structured telephone interview and a self-administered questionnaire, along with data linkage to the Queensland Cancer Register and additional extraction from medical records. Flexible parametric survival models, with multiple imputation to deal with missing data, were used.ResultsKey factors identified as being predictive of poorer survival included more advanced stage at diagnosis, higher tumour grade, “triple negative” breast cancers, and being symptom-detected rather than screen detected. The Harrell’s C-statistic for the final predictive model was 0.84 (95% CI 0.82, 0.87), while the area under the ROC curve for 5-year mortality was 0.87. The final model explained about 36% of the variation in survival, with stage at diagnosis alone explaining 26% of the variation.ConclusionsIn addition to confirming the prognostic importance of stage, grade and clinical subtype, these results highlighted the independent survival benefit of breast cancers diagnosed through screening, although lead and length time bias should be considered. Understanding what additional factors contribute to the substantial unexplained variation in survival outcomes remains an important objective.
A Scoping Review of Quality in Early Childhood Publicly-Funded Programs
Authors: McLean Christine , McIsaac Jessie-Lee D. , Mooney Oriana , Morris Sarah B. , Turner Joan 
Published: July 2022

AbstractDefining quality in early learning and child care (ELCC) settings is complex. With an increased emphasis on universal ELCC systems to support greater access for families, research is needed to provide clarity on the concepts that contribute to high-quality programs. In this scoping review, 41 literature sources met our criteria (of a possible 6335) to determine what is known about high-quality early childhood programming in publicly-funded, school-based settings using a systems framework. Using a thematic analysis and consistent with a systems lens, our results suggest an overarching influence from system-level policies that intersect with practice, people and place within early childhood education and care.
Resisting the Gamer’s Dilemma
Authors: Montefiore Thomas , Formosa Paul 
Published: July 2022

AbstractIntuitively, many people seem to hold that engaging in acts of virtual murder in videogames is morally permissible, whereas engaging in acts of virtual child molestation is morally impermissible. The Gamer’s Dilemma (Luck in Ethics Inf Technol 11:31–36, 2009) challenges these intuitions by arguing that it is unclear whether there is a morally relevant difference between these two types of virtual actions. There are two main responses in the literature to this dilemma. First, attempts to resolve the dilemma by defending an account of the relevant moral differences between virtual murder and virtual child molestation. Second, attempts to dissolve the dilemma by undermining the intuitions that ground it. In this paper, we argue that a narrow version of the Gamer’s Dilemma seems to survive attempts to resolve or dissolve it away entirely, since neither approach seems to be able to solve the dilemma for all cases. We thus provide a contextually sensitive version of the dilemma that more accurately tracks onto the intuitions of gamers. However, we also argue that the intuitions that ground the narrow version of the Dilemma may not have a moral foundation, and we put forward alternative non-moral normative foundations that seem to better account for the remaining intuitive difference between the two types of virtual actions. We also respond to proposed solutions to the Gamer’s Dilemma in novel ways and set out areas for future empirical work in this area.