bluuebunny/crossref_metadata_2025_split huggingface dataset:
Osseous defect of the anteroinferior femoral head: is it associated with femoroacetabular impingement (FAI)?
Authors: Boldt Franca K. , Fritz Benjamin , Zingg Patrick O. , Sutter Reto , Pfirrmann Christian W. A. 
Published: February 2021

AbstractObjectiveTo evaluate the prevalence, morphology, and clinical significance of a repeatedly observed yet not examined circumscript osseous defect at the anteroinferior aspect of the femoral head, termed femoral head defect.Materials and methodsRetrospective study with approval of the institutional review board. There was informed consent by all individuals. Magnetic resonance imaging (MRI) hip examinations of 970 individuals (age 15 to 55) were analyzed for femoral head defect. Patients with femoral head defect were matched for age and gender with patients without defect. Two readers independently assessed MRI images regarding presence, location, and morphology of the defect. MR images and radiographs were analyzed for findings of femoroacetabular impingement (FAI). Femoral torsion was measured. Independentttest and chi-square test were used for statistics.ResultsSixty-eight (7%) of 970 MRI examinations exhibited a femoral head defect in an anteroinferior location of the femoral head (29/400 men, 7.3%; 39/570 women, 6.8%;p = 0.8). The most frequent morphology of femoral head defect was type I, dent-like (34; 50%), followed by type II, crater-like (27; 40%), and III, cystic (7; 10%). Femoral head defect was slightly more common on the right hip (39 individuals; 57%) compared to left (29 individuals; 43%), non-significantly (p = 0.115). There was no association between FAI or its subtypes and the presence of femoral head defect (p = 0.890). Femoral antetorsion was reduced in patients with femoral head defect (12.9° ± 8.6) compared to patients without defect (15.2° ± 8.5), without statistical significance (p = 0.121).ConclusionThe femoral head defect is a common finding in MRI examinations of the hip and is situated in the anteroinferior location. There was no association with FAI yet a non-significant trend towards lower femoral antetorsion in patients with femoral head defects.
α-Particle-induced DNA damage tracks in peripheral blood mononuclear cells of [223Ra]RaCl2-treated prostate cancer patients
Authors: Schumann S. , Eberlein U. , Lapa C. , Müller J. , Serfling S. , Lassmann M. , Scherthan H. 
Published: February 2021

Abstract
Purpose
One therapy option for prostate cancer patients with bone metastases is the use of [223Ra]RaCl2. The α-emitter 223Ra creates DNA damage tracks along α-particle trajectories (α-tracks) in exposed cells that can be revealed by immunofluorescent staining of γ-H2AX+53BP1 DNA double-strand break markers. We investigated the time- and absorbed dose-dependency of the number of α-tracks in peripheral blood mononuclear cells (PBMCs) of patients undergoing their first therapy with [223Ra]RaCl2.

Methods
Multiple blood samples from nine prostate cancer patients were collected before and after administration of [223Ra]RaCl2, up to 4 weeks after treatment. γ-H2AX- and 53BP1-positive α-tracks were microscopically quantified in isolated and immuno-stained PBMCs.

Results
The absorbed doses to the blood were less than 6 mGy up to 4 h after administration and maximally 16 mGy in total. Up to 4 h after administration, the α-track frequency was significantly increased relative to baseline and correlated with the absorbed dose to the blood in the dose range < 3 mGy. In most of the late samples (24 h – 4 weeks after administration), the α-track frequency remained elevated.

Conclusion
The γ-H2AX+53BP1 assay is a potent method for detection of α-particle-induced DNA damages during treatment with or after accidental incorporation of radionuclides even at low absorbed doses. It may serve as a biomarker discriminating α- from β-emitters based on damage geometry.
Flexible models for overdispersed and underdispersed count data
Authors: Cahoy Dexter , Di Nardo Elvira , Polito Federico 
Published: February 2021

AbstractWithin the framework of probability models for overdispersed count data, we propose the generalized fractional Poisson distribution (gfPd), which is a natural generalization of the fractional Poisson distribution (fPd), and the standard Poisson distribution. We derive some properties of gfPd and more specifically we study moments, limiting behavior and other features of fPd. The skewness suggests that fPd can be left-skewed, right-skewed or symmetric; this makes the model flexible and appealing in practice. We apply the model to real big count data and estimate the model parameters using maximum likelihood. Then, we turn to the very general class of weighted Poisson distributions (WPD’s) to allow both overdispersion and underdispersion. Similarly to Kemp’s generalized hypergeometric probability distribution, which is based on hypergeometric functions, we analyze a class of WPD’s related to a generalization of Mittag–Leffler functions. The proposed class of distributions includes the well-known COM-Poisson and the hyper-Poisson models. We characterize conditions on the parameters allowing for overdispersion and underdispersion, and analyze two special cases of interest which have not yet appeared in the literature.
A deep learning computer vision iPad application for Sales Rep optimization in the field
Authors: Sykes Edward R. 
Published: February 2021

AbstractComputer vision is becoming an increasingly critical area of research, and its applications to real-world problems are gaining significance. In this paper, we describe the design, development and evaluation of our computer vision Faster R-CNN iPad App for Sales Representatives in grocery store environments. Our system aims to assist Sales Reps to be more productive, reduce errors, and provide increased efficiencies. We report on the creation of the iPad app, the data capturing guidelines we created for the creation of good classifiers and the results of professional Sales Reps evaluating our system. Our system was tested in a variety of conditions in grocery store environments and has an accuracy of 99%, a System Usability Score usability score of 85 (high). It supports up to 40 classifiers running concurrently to perform product identification in less than 3.8 s. We also created a set of data capturing guidelines that will enable other researchers to create their own classifiers for these types of products in complex environments (e.g., products with very similar packaging located on shelves).
Disentangling relationships among eastern Mediterranean Cymbalaria including description of a novel species from the southern Peloponnese (Greece)
Authors: Carnicero Pau , Garcia-Jacas Núria , Sáez Llorenç , Constantinidis Theophanis , Galbany-Casals Mercè 
Published: February 2021

AbstractThe eastern Mediterranean basin hosts a remarkably high plant diversity. Historical connections between currently isolated areas across the Aegean region and long-distance dispersal events have been invoked to explain current distribution patterns of species. According to most recent treatments, at least twoCymbalariaspecies occur in this area,Cymbalaria microcalyxandC. longipes. The former comprises several intraspecific taxa, treated at different ranks by different authors based on morphological data, evidencing the need of a taxonomic revision. Additionally, some populations ofC. microcalyxshow exclusive morphological characters that do not match any described taxon. Here, we aim to shed light on the systematics of eastern MediterraneanCymbalariaand to propose a classification informed by various sources of evidence. We performed molecular phylogenetic analyses using ITS, 3’ETS,ndhF andrpl32-trnL sequences and estimated the ploidy level of some taxa performing relative genome size measures. Molecular data combined with morphology support the division of traditionally delimitedC. microcalyxintoC. acutiloba,C. microcalyxandC. minor, corresponding to well-delimited nrDNA lineages. Furthermore, we propose to combineC. microcalyxsubsp.paradoxaat the species level. A group of specimens previously thought to belong toCymbalaria microcalyxconstitute a well-defined phylogenetic and morphological entity and are described here as a new species,Cymbalaria spetae.Cymbalaria longipesis non-monophyletic, but characterized by being glabrous and diploid, unlike other eastern species. The nrDNA data suggest at least two dispersals from the mainland to the Aegean Islands, potentially facilitated by marine regressions.
QM/MM study of the binding of H2 to MoCu CO dehydrogenase: development and applications of improved H2 van der Waals parameters
Authors: Rovaletti Anna , Greco Claudio , Ryde Ulf 
Published: February 2021

AbstractThe MoCu CO dehydrogenase enzyme not only transforms CO into CO2but it can also oxidise H2. Even if its hydrogenase activity has been known for decades, a debate is ongoing on the most plausible mode for the binding of H2to the enzyme active site and the hydrogen oxidation mechanism. In the present work, we provide a new perspective on the MoCu-CODH hydrogenase activity by improving the in silico description of the enzyme. Energy refinement—by means of the BigQM approach—was performed on the intermediates involved in the dihydrogen oxidation catalysis reported in our previously published work (Rovaletti, et al. “Theoretical Insights into the Aerobic Hydrogenase Activity of Molybdenum–Copper CO Dehydrogenase.” Inorganics 7 (2019) 135). A suboptimal description of the H2–HN(backbone) interaction was observed when the van der Waals parameters described in previous literature for H2were employed. Therefore, a new set of van der Waals parameters is developed here in order to better describe the hydrogen–backbone interaction. They give rise to improved binding modes of H2in the active site of MoCu CO dehydrogenase. Implications of the resulting outcomes for a better understanding of hydrogen oxidation catalysis mechanisms are proposed and discussed.
Assessing the learning and transfer of gaze behaviours in immersive virtual reality
Authors: Harris David J. , Hardcastle Kyle J. , Wilson Mark R. , Vine Samuel J. 
Published: February 2021

AbstractVirtual reality (VR) has clear potential for improving simulation training in many industries. Yet, methods for testing the fidelity, validity and training efficacy of VR environments are, in general, lagging behind their adoption. There is limited understanding of how readily skills learned in VR will transfer, and what features of training design will facilitate effective transfer. Two potentially important elements are the psychological fidelity of the environment, and the stimulus correspondence with the transfer context. In this study, we examined the effectiveness of VR for training police room searching procedures, and assessed the corresponding development of perceptual-cognitive skill through eye-tracking indices of search efficiency. Participants (n = 54) were assigned to a VR rule-learning and search training task (FTG), a search only training task (SG) or a no-practice control group (CG). Both FTG and SG developed more efficient search behaviours during the training task, as indexed by increases in saccade size and reductions in search rate. The FTG performed marginally better than the CG on a novel VR transfer test, but no better than the SG. More efficient gaze behaviours learned during training were not, however, evident during the transfer test. These findings demonstrate how VR can be used to develop perceptual-cognitive skills, but also highlight the challenges of achieving transfer of training.
Partial caging: a clearance-based definition, datasets, and deep learning
Authors: Welle Michael C. , Varava Anastasiia , Mahler Jeffrey , Goldberg Ken , Kragic Danica , Pokorny Florian T. 
Published: February 2021

AbstractCaging grasps limit the mobility of an object to a bounded component of configuration space. We introduce a notion of partial cage quality based on maximal clearance of an escaping path. As computing this is a computationally demanding task even in a two-dimensional scenario, we propose a deep learning approach. We design two convolutional neural networks and construct a pipeline for real-time planar partial cage quality estimation directly from 2D images of object models and planar caging tools. One neural network, CageMaskNN, is used to identify caging tool locations that can support partial cages, while a second network that we call CageClearanceNN is trained to predict the quality of those configurations. A partial caging dataset of 3811 images of objects and more than 19 million caging tool configurations is used to train and evaluate these networks on previously unseen objects and caging tool configurations. Experiments show that evaluation of a given configuration on a GeForce GTX 1080 GPU takes less than 6 ms. Furthermore, an additional dataset focused on grasp-relevant configurations is curated and consists of 772 objects with 3.7 million configurations. We also use this dataset for 2D Cage acquisition on novel objects. We study how network performance depends on the datasets, as well as how to efficiently deal with unevenly distributed training data. In further analysis, we show that the evaluation pipeline can approximately identify connected regions of successful caging tool placements and we evaluate the continuity of the cage quality score evaluation along caging tool trajectories. Influence of disturbances is investigated and quantitative results are provided.
Contrasting responses of DOM leachates to photodegradation observed in plant species collected along an estuarine salinity gradient
Authors: Schafer Tracey , Powers Leanne , Gonsior Michael , Reddy K. R. , Osborne Todd Z. 
Published: February 2021

AbstractA series of abiotic processes affected by salinity changes involve light-mediated reactions and different degradation pathways of organic compounds, including altered photo-oxidation, photo-degradation, and photolysis of organic matter (OM). Sunlight is known to degrade, oxidize, or mineralize dissolved organic matter (DOM) in waterways, creating large changes in compositional structure of DOM near the water surface and ultimately in the mixed layer. DOM derived from various vegetation types has differing levels of susceptibility to photolytic degradation depending on initial chemical composition and in what matrix degradation takes place (e.g., salinity). The effect of sunlight and salinity on degradation of leached DOM derived from three dominant vegetative species, Avicennia germinans, Juncus romerianus, and Taxodium distichum, along a riverine continuum in northeast Florida was determined. Leachates from these three sources in a deionized or seawater matrix were irradiated in a continuous flow-through photolytic system over the course of 20 h. Avicennia germinans and Juncus roemerinaus DOM readily degraded as indicated by decreases in absorbance across all wavelengths during the irradiation period, while Taxodium distichum DOM was found to increase in absorbance across all wavelengths in the freshwater matrix, but not in seawater. PARAFAC analysis indicated differences in photochemical components and % change of absorbance and fluorescence over time indicate the importance and variability of individual contributions to the DOM pool across an estuarine continuum. This work characterizes the photochemical properties of three individual DOM sources, exhibits the need for further research on this topic, and explores the salinity effect on photo-degradation of DOM from unique plant-derived DOM.
Precursor fractions of neurotensin and enkephalin might point to molecular mechanisms of cancer risk modulation during a lifestyle-intervention in germline BRCA1/2 gene mutation carriers
Authors: Grill Sabine , Yahiaoui-Doktor Maryam , Basrai Maryam , Struck Joachim , Schulte Janin , Berling-Ernst Anika , Engel Christoph , Ullrich Mirjam , Lammert Jacqueline , Bischoff Stephan C. , Schmidt Thorsten , Niederberger Uwe , Chronas Dimitrios , Rhiem Kerstin , Schmutzler Rita , Halle Martin , Kiechle Marion 
Published: February 2021

AbstractBackgroundGermlineBRCA1/2mutation carriers (gBMC) face increased cancer risks that are modulated via non-genetic lifestyle factors whose underlying molecular mechanisms are unknown. The peptides Neurotensin (NT) and Enkephalin (ENK)—involved in tumorigenesis and obesity-related diseases—are of interest. We wanted to know whether these biomarkers differ between gBMC and women from the general population and what effect a 1-year lifestyle-intervention has in gBMC.MethodsThe stable precursor fragments pro-NT and pro-ENK were measured at study entry (SE), after 3 and 12 months for 68 women from LIBRE-1 (a controlled lifestyle-intervention feasibility trial for gBMC involving structured endurance training and the Mediterranean Diet). The SE values were compared with a cohort of the general population including female subjects with and without previous cancer disease, non-suggestive for hereditary breast and ovarian cancer (OMA-reference). For LIBRE-1, we analysed the association between the intervention-related change in the two biomarkers and certain lifestyle factors.ResultsAt SE, gBMC had a higher median pro-NT than OMA-reference (in the subgroups with previous cancer 117 vs. 91 pmol/L,p = 0.002). Non-diseased gBMC had lower median pro-ENK levels when compared to the non-diseased reference group. VO2peak and pro-NT 1-year change in LIBRE-1 were inversely correlated (r = − 0.435; CI − 0.653 to − 0.151;p = 0.004). Pro-ENK correlated positively with VO2peak at SE (r = 0.323; CI 0.061–0.544;p = 0.017). Regression analyses showed an inverse association of 1-year changes for pro-NT and Omega-6/Omega-3 (Estimate: − 37.9,p = 0.097/0.080) in multivariate analysis.ConclusionOur results give first indications for lifestyle-related modification particularly of pro-NT in gBMC.
Ruthless Exploiters or Ethical Guardians of the Workforce? Powerful CEOs and their Impact on Workplace Safety and Health
Authors: Haga Jesper , Huhtamäki Fredrik , Sundvik Dennis 
Published: February 2021

AbstractThe allocation of resources among different stakeholders is an ethical dilemma for chief executive officers (CEOs). In this study, we investigate the association between CEO power and workplace injuries and illnesses. We use an establishment-level dataset comprising 31,924 establishment-year observations between 2002 and 2011. Our main result shows that employees at firms with structurally powerful CEOs experience fewer workplace injuries and illnesses and days away from work. We reason that CEOs derive a private benefit from low injury and illness rates and that powerful CEOs are better at influencing employees to take workplace safety and health seriously. Additional analyses reveal fewer injuries and illnesses in firms led by CEOs with expertise power. However, increased injuries and illnesses were linked to firms controlled by CEOs with ownership power. Moreover, we find that structurally powerful CEOs mitigate injury and illness differences in relation to geographical proximity to corporate headquarters. We contribute with both research and practical implications on the topics of CEO power and corporate social responsibility (CSR) in general and workplace safety and health in particular.
Detecting virtual concept drift of regressors without ground truth values
Authors: Oikarinen Emilia , Tiittanen Henri , Henelius Andreas , Puolamäki Kai 
Published: February 2021

AbstractRegression analysis is a standard supervised machine learning method used to model an outcome variable in terms of a set of predictor variables. In most real-world applications the true value of the outcome variable we want to predict is unknown outside the training data, i.e., the ground truth is unknown. Phenomena such as overfitting and concept drift make it difficult to directly observe when the estimate from a model potentially is wrong. In this paper we present an efficient framework for estimating the generalization error of regression functions, applicable to any family of regression functions when the ground truth is unknown. We present a theoretical derivation of the framework and empirically evaluate its strengths and limitations. We find that it performs robustly and is useful for detecting concept drift in datasets in several real-world domains.
Thinking Technology Big Again. Reconsidering the Question of the Transcendental and ‘Technology with a Capital T’ in the Light of the Anthropocene
Authors: Lemmens Pieter 
Published: February 2021

AbstractThis article has two general aims. It first of all critically reconsiders the empirical turn’s dismissal of transcendentalism in the philosophy of technology, in particular through the work of Ihde and Verbeek, and defends the continuing relevance of the notion of the transcencental in thinking about technology today, illustrating this mainly through a reading of Stiegler’s understanding of the human condition as a technical condition and his view of human (noetic) evolution as proceeding from a process of technical exteriorization. The crucial issue that is missed by postphenomenology and the empirical turn is that technology itself in its empiricity occupies the (periodically changing) place of the transcendental. It thus fails to consider the transcendental operativity of technical artifacts within its own empiricist stance. Secondly, it argues for the continuing importance and usefulness of the idea of Technology with a capital T, equally discarded by the representatives of the empirical turn, in particular against the emerging backdrop of the Anthropocene as the age of decisive anthropogenic forcing of the planet and the growing dominance of what has recently been called the technosphere in Earth system science. With Stiegler I show that a proper, inherent dynamic of technology must be acknowledged historically, anthropologically, techno-evolutionarily as well as (techno)phenomenologically. I conclude by demonstrating that our time of planetary crisis summons us to redirect our attention to technology from the empirical to the transcendental, and from the micro-level to the macro-level again.
Phase-field fracture modelling of crack nucleation and propagation in porous rock
Authors: Spetz Alex , Denzer Ralf , Tudisco Erika , Dahlblom Ola 
Published: February 2021

AbstractIn this work, we suggest a modified phase-field model for simulating the evolution of mixed mode fractures and compressive driven fractures in porous artificial rocks and Neapolitan Fine Grained Tuff. The numerical model has been calibrated using experimental observations of rock samples with a single saw cut under uniaxial plane strain compression. For the purpose of validation, results from the numerical model are compared to Meuwissen samples with different angles of rock bridge inclination subjected to uni-axial compression. The simulated results are compared to experimental data, both qualitatively and quantitatively. It is shown that the proposed model is able to capture the emergence of shear cracks between the notches observed in the Neapolitan Fine Grained Tuff samples as well as the propagation pattern of cracks driven by compressive stresses observed in the artificial rock samples. Additionally, the typical types of complex crack patterns observed in experimental tests are successfully reproduced, as well as the critical loads.