bluuebunny/crossref_metadata_2025_split huggingface dataset:
Criminals, bankruptcy, and cost of debt
Authors: Regenburg Kasper , Seitz Morten Nicklas Bigler 
Published: September 2021

AbstractWe examine whether criminal records of CEOs and rank-and-file employees are associated with firms’ likelihood of bankruptcy, and whether lenders adjust their required cost of debt accordingly. We use a nationwide sample of private firms and criminal registers covering all firm employees. We find that the likelihood of bankruptcy is positively associated with the CEO’s criminal record and the proportion of employees with criminal records. We find some, though less robust, evidence that lenders price a firm’s loan higher when the firm’s CEO has a criminal record and when more of the employees have criminal records. The results suggest that the characteristics of firm employees represent a risk that, to some extent, is priced by lenders.
Outlier detection in non-elliptical data by kernel MRCD
Authors: Schreurs Joachim , Vranckx Iwein , Hubert Mia , Suykens Johan A. K. , Rousseeuw Peter J. 
Published: September 2021

AbstractThe minimum regularized covariance determinant method (MRCD) is a robust estimator for multivariate location and scatter, which detects outliers by fitting a robust covariance matrix to the data. Its regularization ensures that the covariance matrix is well-conditioned in any dimension. The MRCD assumes that the non-outlying observations are roughly elliptically distributed, but many datasets are not of that form. Moreover, the computation time of MRCD increases substantially when the number of variables goes up, and nowadays datasets with many variables are common. The proposed kernel minimum regularized covariance determinant (KMRCD) estimator addresses both issues. It is not restricted to elliptical data because it implicitly computes the MRCD estimates in a kernel-induced feature space. A fast algorithm is constructed that starts from kernel-based initial estimates and exploits the kernel trick to speed up the subsequent computations. Based on the KMRCD estimates, a rule is proposed to flag outliers. The KMRCD algorithm performs well in simulations, and is illustrated on real-life data.
2D and 3D numerical models to evaluate trabecular bone damage
Authors: Buccino Federica , Colombo Chiara , Duarte Daniel Hernando Lozano , Rinaudo Luca , Ulivieri Fabio Massimo , Vergani Laura Maria 
Published: September 2021

AbstractThe comprehension of trabecular bone damage processes could be a crucial hint for understanding how bone damage starts and propagates. Currently, different approaches to bone damage identification could be followed. Clinical approaches start from dual X-ray absorptiometry (DXA) technique that can evaluate bone mineral density (BMD), an indirect indicator of fracture risk. DXA is, in fact, a two-dimensional technology, and BMD alone is not able to predict the effective risk of fractures. First attempts in overcoming this issue have been performed with finite element (FE) methods, combined with the use of three-dimensional high-resolution micro-computed tomographic images. The purpose of this work is to evaluate damage initiation and propagation in trabecular vertebral porcine samples using 2D linear-elastic FE models from DXA images and 3D linear FE models from micro-CT images. Results show that computed values of strains with 2D and 3D approaches (e.g., the minimum principal strain) are of the same order of magnitude. 2D DXA-based models still remain a powerful tool for a preliminary screening of trabecular regions that are prone to fracture, while from 3D micro-CT-based models, it is possible to reach details that permit the localization of the most strained trabecula.
Graphical abstract
Ex vivo lung perfusion: how we do it
Authors: Murala John Santosh , Whited William Michael , Banga Amit , Castillo Robert , Peltz Matthias , Huffman Lynn Custer , Hackmann Amy Elizabeth , Jessen Michael Erik , Torres Fernando , Wait Michael Alton 
Published: September 2021

AbstractLung transplantation is an established treatment for patients with end-stage lung disease. However, a shortage of donors, low lung utilization among potential donors, and waitlist mortality continue to be challenges. In the last decade, ex vivo lung perfusion (EVLP) has expanded the donor pool by allowing prolonged evaluation of marginal donor lungs and allowing reparative therapies for lungs, which are otherwise considered not transplantable. In this review, we describe in detail our experience with EVLP including our workflow, setup, operative technique, and protocols. Our multidisciplinary EVLP program functions with the collaboration of surgeons, pulmonologists, and EVLP nurses who run the pump. EVLP program has been a valuable addition to our program. Since Food and Drug Administration (FDA) approval in 2019, we experienced incremental increased lung transplant volume of 12% annually.
Pore pressure prediction in Niger Delta high pressure, high temperature (HP/HT) domains using well logs and 3D seismic data: a case study of X-field, onshore Niger Delta
Authors: Alabere Abdulquadri O. , Akangbe Olayemi K. 
Published: September 2021

AbstractFew wells targeting high temperature, high pressure intervals in most tertiary sedimentary basins have achieved their objective in terms of technicalities and cost. Since most shallow targets have been drilled, exploration focus is drifting into deeper plays both onshore and in deep offshore areas. To ensure safe and economic drilling campaigns, pore pressure prediction methodologies used in the region needs to be improved. The research aims at generating and testing a modification of Eaton’s equation fit for high temperature, high pressure intervals on a field. The evolution of pore pressure in the field was established from offset well data by making several crossplots, and fracture gradient was computed using Mathew and Kelly’s equation. Eaton’s equation parameters were then calibrated using several wells until a desired field scale result was achieved when compared with information from already drilled intervals i.e., kicks and RFT data. Seismic velocity data resulting from high density, high resolution velocity analysis done to target deep overpressured intervals were then used to predict 1D pore pressure models at six selected prospect locations. Analyses reveal depths shallower than 3800 m TVD/MSL with geothermal gradient 3.0 °C/100 m and pressure gradient less than 1.50sg EMW are affected mainly by undercompaction; depths greater than 3800 m TVD/MSL with geothermal gradient of 4.1 °C/10 m and pressure gradients reaching 1.82–2.12sg EMW are affected by unloading with a narrow drilling margin for the deep highly pressured prospect intervals. Eaton’s n-exponent was modified to 6, and it proved accurate in predicting high overpressure in the first prospect wells drilled.
Cognitive Behavior Therapy Targeting Intolerance of Uncertainty Versus Selective Serotonin Reuptake Inhibitor for Generalized Anxiety Disorder: A Randomized Clinical Trial
Authors: Zemestani Mehdi , Beheshti Negar , Rezaei Farzin , van der Heiden Colin , Kendall Philip C. 
Published: September 2021

AbstractGiven the high prevalence and adverse outcomes associated with generalized anxiety disorder (GAD), development and expansion of effective treatment modalities are important. The present study compared the effectiveness of cognitive behavior therapy targeting intolerance of uncertainty (CBT-IU) and selective serotonin reuptake inhibitors (SSRIs) for treating GAD. A total of 30 Iranian patients with GAD (Mage = 25.16 ± 6.73) were randomised to receive either CBT-IU (n = 15) or SSRI (n = 15). Measures included the Structured Clinical Interview for DSM-5 (SCID-5), Penn State Worry Questionnaire (PSWQ), Why Worry-II (WW-II), Intolerance of Uncertainty Scale (IUS), and Negative Problem Orientation Questionnaire (NPOQ). Repeated measures analysis of variance tested differential treatment outcomes. The results of intention-to-treat (ITT) analysis indicated that although both CBT-IU and SSRI were effective treatments for GAD, CBT-IU produced significantly better results than SSRI at post-treatment. This clinical trial provides preliminary cross-cultural support for the treatment of GAD using CBT-IU, with findings suggesting that this non-medication intervention reduces GAD symptoms.
Women and wildlife crime: hidden offenders, protectors and victims
Authors: Kahler Jessica S. , Rinkus Marisa A. 
Published: September 2021

AbstractGender is an explanatory factor in multiple dimensions of conservation, including women's access to and participation in conservation programmes, with gender bias in wildlife research persisting globally. There is reason to believe the current global wildlife crime crisis is no exception, with a lack of critical examination of gendered roles in security for biodiversity conservation. Despite the emergence of high-profile all-women ranger units (e.g. Akashinga in Zimbabwe) there has been a lack of systematic integration of gender within biodiversity protection. Theoretical and methodological applications from criminology have become progressively more common in response to an increase in a wide range of environmental crimes with consequences for women and their communities. Here we consider the implications of the lack of knowledge of women's direct and indirect roles in wildlife security. We used the criminology and conservation literature to identify key gaps in research, and relevant and robust typologies and frameworks informed by criminology to structure future research on women as offenders, protectors (handlers, managers, guardians) and victims of wildlife crime. We argue that more intentional research into the direct and indirect roles of women in wildlife crime is needed to address wildlife crime, protect biodiversity and support social justice in response to wildlife crimes.
Own health, spousal health and transitions in loneliness among middle-aged and older adults in China
Authors: Luo Ye 
Published: September 2021

AbstractThis study examines the effects of own and spousal health on transitions in loneliness over time among married middle-aged and older adults in China, and explores the possible gender differences in these effects using data from the three waves of the China Health and Retirement Longitudinal Study (2011–2015). The sample includes 6,422 men and 6,391 women who were married and aged 45 and older at the baseline survey. Middle-aged and older adults with poorer physical and emotional health statuses are more likely to transition into and less likely to transition out of loneliness in a two-year period. Spouse's emotional health also affects both types of transition in loneliness and spouse's functional limitation affects transition into loneliness through spouse's emotional health. In addition, for married men, their own functional limitation is significantly associated with their transitions into and out of loneliness. For married women, their spouse's functional limitation is significantly associated with their transition into loneliness and this is mainly through its association with spouse's emotional health. Also, for married women, their spouse's emotional health is significantly associated with their transition out of loneliness. Social interventions to reduce feelings of loneliness need to take a couple approach and consider both spouses’ health problems and how they may affect their daily activities and their interactions with each other and with others.
LONGITUDINAL L2 DEVELOPMENT IN THE PROSODIC MARKING OF PRAGMATIC MEANING
Authors: Taguchi Naoko , Hirschi Kevin , Kang Okim 
Published: September 2021

AbstractThis study investigated whether L2 English learners’ prosodic properties in speech acts change as they are immersed in the English-speaking academic community over time, and if so, what individual and contextual factors (proficiency, orientation to language study, and target language contact) potentially affect these changes. Forty-seven Japanese learners of English in an English-medium university in Japan completed a speaking task that elicited two speech acts (request and opinion) three times over one academic year (8 months). Their speech was analyzed for discourse intonational features (e.g., tone choices, prominence ratio, and pitch range). Results showed that all prosodic properties changed over time, although the pace and patterns of changes differed among the properties. Proficiency and language contact significantly affected the change in tone choice, but no other relationship was found between individual/contextual factors and changes in prominence ratio or pitch range.
Biology and non-chemical management of Spermacoce verticillata and Spermacoce densiflora
Authors: Castilho Juliana , Forti Victor Augusto , Monquero Patricia Andrea 
Published: September 2021

AbstractThe weed species Spermacoce densiflora DC. and Spermacoce verticillata L. have shown an increase in their occurrence in cultivated areas in the northeast region of Brazil, and field observations have reported their ineffective control with chemicals. This study aimed to evaluate the germination of S. densiflora and S. verticillata under constant (15, 20, 25, 30 and 35°C) and alternating temperatures (20–30°C) in dark and in constant light; the emergence of seedlings from seven sowing depths (0, 0.5, 1, 2, 4, 6 and 10 cm); the emergence of seedlings under five types of cover crop straw (Crotalaria juncea L., Pennisetum glaucum (L.) R. Br., Sorghum bicolor (L.) Moench, Dolichos lablab L., and Cajanus cajan L.) and four amounts (nil and the average, half and twice the amount of straw produced in the field); and germination at different aqueous cover crop extract concentrations (0, 20, 40, 60 and 100%) to measure allelopathic potential of cover crop straw. The results showed that S. densiflora has positive photoblastic behavior. The alternating temperature provided the highest percentage of germination and germination speed index (GSI) for both species. S. densiflora and S. verticillata seedling emergence decreased with an increase in depth, with no germination at a depth of 10 cm. The presence of straw impaired the emergence of seedlings of S. densiflora and S. verticillata by delaying and even preventing germination from occurring. The gradual increase in the aqueous extract concentrations was accompanied by lower percentages of germination and GSI for S. densiflora and S. verticillata.
SELF-REFERENCE UPFRONT: A STUDY OF SELF-REFERENTIAL GÖDEL NUMBERINGS
Authors: GRABMAYR BALTHASAR , VISSER ALBERT 
Published: September 2021

AbstractIn this paper we examine various requirements on the formalisation choices under which self-reference can be adequately formalised in arithmetic. In particular, we study self-referential numberings, which immediately provide a strong notion of self-reference even for expressively weak languages. The results of this paper suggest that the question whether truly self-referential reasoning can be formalised in arithmetic is more sensitive to the underlying coding apparatus than usually believed. As a case study, we show how this sensitivity affects the formal study of certain principles of self-referential truth.
Parsing Weather Variability and Wildfire Effects on the Post‐Fire Changes in Daily Stream Flows: A Quantile‐Based Statistical Approach and Its Application
Authors: Beyene Mussie T. , Leibowitz Scott G. , Pennino Michael J. 
Published: September 2021

AbstractDetermining wildland fire impacts on streamflow can be problematic as the hydrology in burned watersheds is influenced by post‐fire weather conditions. This study presents a quantile‐based analytical framework for assessing fire impacts on low and peak daily flow magnitudes, while accounting for post‐fire weather influences. This framework entails (a) the bootstrap method to compute the relative change in the post‐fire annual flow and weather statistics, (b) double mass analysis to detect if post‐fire baseflow and quick‐flow yield ratios are significantly altered, and (c) a quantile regression method to parse fire effects on flow at a specific quantile. We illustrate the applicability of this analytical framework using 44 western US streams with at least 5% of their watershed area burned. Results indicate that large, high‐severity burns in upland watersheds can raise the streamflow magnitude at the 0. and 0. quantiles for at least the five post‐fire years. Quantile regression results show that the median fire‐related increase in flow for the five post‐fire years can be up to 5,000% (Standard Error; 2%) at the 0. quantile and 161% ( 10%) at the 0. quantile. The fire‐related increase in flow was often pronounced at the 0. quantile for streams in the Pacific Northwest and California regions. The difference in fire effects on flow (at both quantiles) across streams was related to post‐fire weather, pyrology, physiography, and land cover. The proposed analytical framework can be useful for detecting and quantifying fire effects on the low and peak stream flows in burned watersheds without overlapping disturbances.
Suspended Sediment Concentration Profile in a Typha Latifolia Canopy
Authors: Xu Yuan , Nepf Heidi 
Published: September 2021

AbstractThe transport of sediment in regions with vegetation plays an important role in aquatic ecosystems and landform evolution in river deltas. In this study, flow parameters and suspended sediment concentration (SSC) within an emergent canopy with real plant morphology (Typha latifolia) were measured in a laboratory channel. T. latifolia is a common marsh species with multiple thin leaves emerging from a tight bundle (culm) at the bed. The observed equilibrium SSC profile differed significantly from a Rouse profile, the classic model for SSC over bare beds. The vertical distribution of SSC was nearly uniform in the culm region of the canopy, and decreased with height in the upper canopy region of distributed leaves. The profile of SSC reflected the vertically nonuniform turbulent diffusion, which arose from the plant morphology. A diffusivity model based on cylinder arrays was first validated with tracer data and then adapted to the T. latifolia morphology, providing a way to model turbulent diffusivity in marsh systems. The diffusivity model was successfully used within a random displacement model to predict the spatial evolution and equilibrium SSC profile within the T. latifolia canopy.
Phospholipase D2 is a positive regulator of sirtuin 1 and modulates p53-mediated apoptosis via sirtuin 1
Authors: Lee Hyesung , Jung Taek-Yeol , Lim Seong Hun , Choi Eun Ju , Lee Jinu , Min Do Sik 
Published: September 2021

AbstractSirtuin 1 (SIRT1) is a nicotinamide adenine dinucleotide-dependent histone deacetylase that plays diverse physiological roles. However, little is known about the regulation of SIRT1 activity. Here, we show that phospholipase D2 (PLD2), but not PLD1, selectively interacts with SIRT1 and increases the deacetylase activity of SIRT1. PLD2 does not interact with the other isozymes of SIRT (SIRT2–7). Two leucine residues in the LXXLL motif (L173 and L174) in the phox domain of PLD2 interact with the region essential for SIRT1 activity. PLD2 stimulates the SIRT1-mediated deacetylation of p53 independent of its lipase activity. In our study, mutagenesis of the LXXLL motif suppressed the interaction of PLD2 with SIRT1 and inhibited SIRT1-mediated p53 deacetylation and p53-induced transactivation of proapoptotic genes. Ultimately, overexpression of wild-type PLD2 but not that of LXXLL-mutant PLD2 protected cells against etoposide-induced apoptosis. Moreover, PLD2 did not protect against apoptosis induced by SIRT1 depletion under genotoxic stress. Collectively, our results suggest that PLD2 is a positive regulator of SIRT1 and modulates p53-mediated apoptosis via SIRT1.
Naloxone precipitated withdrawal increases dopamine release in the dorsal striatum of opioid dependent men
Authors: Shokri-Kojori Ehsan , Wang Gene-Jack , Volkow Nora D. 
Published: September 2021

AbstractDopamine (DA) neurotransmission is critical in the neurobiology of reward and aversion, but its contribution to the aversive state of opioid withdrawal remains unknown in humans. To address this, we used updated voxelwise methods and retrospectively analyzed a [11C]raclopride-PET dataset to measure D2/3receptor availability and relative cerebral blood flow (R1) in male opioid use disorder (OUD) participants (n = 10) during placebo and acute opioid withdrawal conditions. We found that acute withdrawal precipitated by the opioid antagonist naloxone significantly increased dorsal striatal DA release in OUD participants (pFWE < 0.05). Net changes in striatal DA were significantly correlated with a subjective index of withdrawal aversion such that greater DA increases were associated with more aversive responses (r(8) = 0.82,p < 0.005). Withdrawal also affected brain function, as indexed by increases in relative cerebral blood flow in the insula and putamen (pFWE < 0.05). Our findings are different from preclinical studies that have primarily reported decreases in ventral striatal DA during naloxone precipitated withdrawal, whereas this effect was not significant in OUD participants (p = 0.79). In sum, we provide evidence for the contribution of increases in dorsal striatal DA to the aversive state of naloxone precipitated withdrawal in humans.
SARS-CoV-2-specific T cells in infection and vaccination
Authors: Bertoletti Antonio , Le Bert Nina , Qui Martin , Tan Anthony T. 
Published: September 2021

AbstractDuring viral infections, antibodies and T cells act together to prevent pathogen spread and remove virus-infected cells. Virus-specific adaptive immunity can, however, also trigger pathological processes characterized by localized or systemic inflammatory events. The protective and/or pathological role of virus-specific T cells in SARS-CoV-2 infection has been the focus of many studies in COVID-19 patients and in vaccinated individuals. Here, we review the works that have elucidated the function of SARS-CoV-2-specific T cells in patients and in vaccinated individuals. Understanding whether SARS-CoV-2-specific T cells are more linked to protection or pathogenesis is pivotal to define future therapeutic and prophylactic strategies to manage the current pandemic.
Cytotoxic T cells are able to efficiently eliminate cancer cells by additive cytotoxicity
Authors: Weigelin Bettina , den Boer Annemieke Th. , Wagena Esther , Broen Kelly , Dolstra Harry , de Boer Rob J. , Figdor Carl G. , Textor Johannes , Friedl Peter 
Published: September 2021

AbstractLethal hit delivery by cytotoxic T lymphocytes (CTL) towards B lymphoma cells occurs as a binary, “yes/no” process. In non-hematologic solid tumors, however, CTL often fail to kill target cells during 1:1 conjugation. Here we describe a mechanism of “additive cytotoxicity” by which time-dependent integration of sublethal damage events, delivered by multiple CTL transiting between individual tumor cells, mediates effective elimination. Reversible sublethal damage includes perforin-dependent membrane pore formation, nuclear envelope rupture and DNA damage. Statistical modeling reveals that 3 serial hits delivered with decay intervals below 50 min discriminate between tumor cell death or survival after recovery. In live melanoma lesions in vivo, sublethal multi-hit delivery is most effective in interstitial tissue where high CTL densities and swarming support frequent serial CTL-tumor cell encounters. This identifies CTL-mediated cytotoxicity by multi-hit delivery as an incremental and tunable process, whereby accelerating damage magnitude and frequency may improve immune efficacy.