bluuebunny/crossref_metadata_2025_split huggingface dataset:
Artificial Discretion as a Tool of Governance: A Framework for Understanding the Impact of Artificial Intelligence on Public Administration
Authors: Young Matthew M , Bullock Justin B , Lecy Jesse D 
Published: July 2019

AbstractPublic administration research has documented a shift in the locus of discretion away from street-level bureaucrats to “systems-level bureaucracies” as a result of new information communication technologies that automate bureaucratic processes, and thus shape access to resources and decisions around enforcement and punishment. Advances in artificial intelligence (AI) are accelerating these trends, potentially altering discretion in public management in exciting and in challenging ways. We introduce the concept of “artificial discretion” as a theoretical framework to help public managers consider the impact of AI as they face decisions about whether and how to implement it. We operationalize discretion as the execution of tasks that require nontrivial decisions. Using Salamon’s tools of governance framework, we compare artificial discretion to human discretion as task specificity and environmental complexity vary. We evaluate artificial discretion with the criteria of effectiveness, efficiency, equity, manageability, and political feasibility. Our analysis suggests three principal ways that artificial discretion can improve administrative discretion at the task level: (1) increasing scalability, (2) decreasing cost, and (3) improving quality. At the same time, artificial discretion raises serious concerns with respect to equity, manageability, and political feasibility.
Learning, Fast or Slow
Authors: Barber Brad M , Lee Yi-Tsung , Liu Yu-Jane , Odean Terrance , Zhang Ke 
Published: July 2019

Abstract
Rational models claim “trading to learn” explains widespread excessive speculative trading and challenge behavioral explanations of excessive trading. We argue rational learning models do not explain speculative trading by studying day traders in Taiwan. Consistent with previous studies of learning, unprofitable day traders are more likely than profitable traders to quit. Consistent with models of overconfidence and biased learning (but not with rational learning), the aggregate performance of day traders is negative; 74% of day trading volume is generated by traders with a history of losses; and 97% of day traders are likely to lose money in future day trading.
Received: March 4, 2019; Editorial decision: May 16, 2019 by Editor: Jeffrey Pontiff. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.
Role of Mouse Cytochrome P450 Enzymes of the Cyp2abfgs Subfamilies in the Induction of Lung Inflammation by Cigarette Smoke Exposure
Authors: Hartog Matthew , Zhang Qing-Yu , Ding Xinxin 
Published: July 2019

Abstract
Many constituents of tobacco smoke (TS) require bioactivation to exert toxic effects; however, few studies have examined the role of bioactivation enzymes in the adverse effects of TS exposure. This knowledge gap is a major source of uncertainty for risk assessment and chemoprevention efforts. Our aim is to test the hypothesis that cytochrome P450 (P450) enzyme-mediated bioactivation is essential to the development of TS exposure-induced lung toxicity, by determining the contributions of P450 enzymes in the mouse Cyp2abfgs gene subfamilies to environmental tobacco smoke (ETS)-induced lung inflammation. Adult female wildtype (WT) and Cyp2abfgs-null mice (both on C57BL/6J background) were exposed to filtered air or ETS, intermittently, for 1 or 2 weeks. Lung inflammation was assessed by quantification of inflammatory cells, cytokines, chemokines, and proteins in bronchoalveolar lavage fluid (BALF) and histopathological analysis. Glutathione (GSH) conjugates of 2 ETS constituents, naphthalene (NA), and 3-methylindole (3MI), were measured in mice exposed to ETS for 4 h. Persistent macrophagic and neutrophilic lung inflammation was observed in ETS-exposed WT mice; the extent of which was significantly reduced in ETS-exposed Cyp2abfgs-null mice. Levels of proinflammatory cytokines and chemokines, along with the total protein concentration, were increased in cell-free BALF from ETS-exposed WT mice, but not Cyp2abfgs-null mice. Additionally, GSH conjugates of NA and 3MI were detected in the lungs of WT, but not Cyp2abfgs-null, mice following ETS exposure. These results provide the first in vivo evidence that the mouse Cyp2abfgs gene cluster plays an important role in ETS-induced lung inflammation.
A synthetic approach for assessing the interplay of form and function in the crocodyliform snout
Authors: Drumheller Stephanie K , Wilberg Eric W 
Published: July 2019

AbstractExisting classifications of snout shape within Crocodylia are supported by functional studies, but ecological surveys often reveal a higher than expected diversity of prey items within putatively specialist groups, and research into bite force and predation behaviour does not always reveal significant differences between snout shape groups. The addition of more distantly related crocodyliforms complicates the ecomorphological signal, because these groups often occupy a larger area of morphospace than the crown group alone. Here, we present an expanded classification of snout shapes and diets across Crocodyliformes, bringing together geometric morphometrics, non-hierarchical cluster analyses, phylogenetic analyses, ancestral state reconstructions, ecological surveys of diet, and feeding traces from the fossil record to build and test predictive models for linking snout shape and function across the clade. When applied to living members of the group, these new classifications partition out based on differences in predator body mass and maximal prey size. When applied to fossils, these classifications predict potential prey items and identify possible examples of scavenging. In a phylogenetic context, these ecomorphs reveal differences in dietary strategies and diversity within major crocodyliform clades. Taken together, these patterns suggest that crocodyliform diversity, in terms of both morphology and diet, has been underestimated.
Exfoliated near infrared fluorescent CaCuSi4O10 nanosheets with ultra-high photostability and brightness for biological imaging
Authors: Selvaggio Gabriele , Preiß Helen , Chizhik Alexey , Nißler Robert , Mann Florian A. , Lv Zhiyi , Oswald Tabea A. , Spreinat Alexander , Erpenbeck Luise , Großhans Jörg , Giraldo Juan Pablo , Kruss Sebastian 
Published: July 2019

ABSTRACTImaging of complex (biological) samples in the near infrared (nIR) range of the spectrum is beneficial due to reduced light scattering, absorption, phototoxicity and autofluorescence. However, there are only few near infrared fluorescent materials known and suitable for biomedical applications. Here, we exfoliate the layered pigment CaCuSi4O10 (known as Egyptian Blue, EB) via facile tip sonication into nanosheets (EB-NS) with ultra-high nIR fluorescence stability and brightness. The size of EB-NS can be tailored by tip sonication to diameters < 20 nm and heights down to 1 nm. EB-NS fluoresce at 910 nm and the total fluorescence intensity scales with the number of Cu2+ ions that serve as luminescent centers. Furthermore, EB-NS display no bleaching and ultra-high brightness compared to other nIR fluorophores. The versatility of EB-NS is demonstrated by in vivo single-particle tracking and microrheology measurements in developing Drosophila embryos. Additionally, we show that EB-NS can be uptaken by plants and remotely detected in a low cost stand-off detection setup despite strong plant background fluorescence. In summary, EB-NS are a highly versatile, bright, photostable and biocompatible nIR fluorescent material that has the potential for a wide range of bioimaging applications both in animal and plant systems.
Cell cycle variants duringDrosophilaaccessory gland development
Authors: Box Allison M. , Ramesh Navyashree A. , Nandakumar Shyama , Church Samuel Jaimian , Prasad Dilan , Afrakhteh Ariana , Taichman Russell S. , Buttitta Laura 
Published: July 2019

AbstractTheDrosophila melanogasteraccessory gland is a functional analog of the mammalian prostate containing two secretory epithelial cell types, termed main and secondary cells. This tissue is responsible for making and secreting seminal fluid proteins and other molecules that contribute to successful reproduction. The cells of this tissue are bi-nucleate and polyploid, due to variant cell cycles that include endomitosis and endocycling during metamorphosis. Here we provide evidence of additional cell cycle variants in this tissue. We show that main cells of the gland are connected by ring canals that form after the penultimate mitosis and we describe an additional post-eclosion endocycle required for gland maturation that is dependent on juvenile hormone signaling. We present evidence that the main cells of theDrosophila melanogasteraccessory gland undergo a unique cell cycle reprogramming throughout organ development that results in step-wise cell cycle truncations culminating in cells containing two octoploid nuclei with under-replicated heterochromatin in the mature gland. We propose this tissue as a model to study developmental and hormonal temporal control of cell cycle variants in terminally differentiating tissues.
Extracting Biological Insights from the Project Achilles Genome-Scale CRISPR Screens in Cancer Cell Lines
Authors: Dempster Joshua M. , Rossen Jordan , Kazachkova Mariya , Pan Joshua , Kugener Guillaume , Root David E. , Tsherniak Aviad 
Published: July 2019

AbstractOne of the main goals of the Cancer Dependency Map project is to systematically identify cancer vulnerabilities across cancer types to accelerate therapeutic discovery. Project Achilles serves this goal through the in vitro study of genetic dependencies in cancer cell lines using CRISPR/Cas9 (and, previously, RNAi) loss-of-function screens. The project is committed to the public release of its experimental results quarterly on the DepMap Portal (https://depmap.org), on a pre-publication basis. As the experiment has evolved, data processing procedures have changed. Here we present the current and projected Achilles processing pipeline, including recent improvements and the analyses that led us to adopt them, spanning data releases from early 2018 to the first quarter of 2020. Notable changes include quality control metrics, calculation of probabilities of dependency, and correction for screen quality and other biases. Developing and improving methods for extracting biologically-meaningful scores from Achilles experiments is an ongoing process, and we will continue to evaluate and revise data processing procedures to produce the best results.
Impact of dealing with bereaved clients on the psychological wellbeing of veterinarians
Authors: Dow MQ , Chur‐Hansen A , Hamood W , Edwards S 
Published: July 2019

BackgroundResearch has identified that members of the veterinary profession are at high risk of occupational stress, burnout, poor psychological wellbeing and an elevated rate of suicide. Although scholarly interest in veterinarians has increased in recent years, relatively few studies have specifically examined the emotional work in veterinary interactions and what effect dealing with companion animal owners' grief has on the wellbeing of veterinarians. The purpose of this study was to determine if dealing with bereaved clients affected the psychological wellbeing of veterinarians. The concept of compassion fatigue was explored, including whether veterinarians believed that their training had equipped them for communicating with grieving clients.MethodsVeterinary surgeons registered in South Australia in 2015 were invited to complete an online survey, with 105 participants responding.ResultsMany participants, particularly female and younger veterinarians, were experiencing mild to severe psychological distress and nearly half of the sample was experiencing high to very high levels of compassion fatigue. No participants reported seeking psychological or other professional mental health support and the majority had not referred a grieving client to a psychologist or other mental health professional. A significant proportion of veterinarians felt their own mental health was affected by dealing with clients grieving the loss of a companion animal.DiscussionThe findings are discussed in terms of increasing the wellbeing of veterinarians through improved curriculum training and workplace health promotion, particularly considering the high suicide rate reported for the profession.
Quantification of prior impact in terms of effective current sample size
Authors: Wiesenfarth Manuel , Calderazzo Silvia 
Published: July 2019

AbstractBayesian methods allow borrowing of historical information through prior distributions. The concept of prior effective sample size (prior ESS) facilitates quantification and communication of such prior information by equating it to a sample size. Prior information can arise from historical observations; thus, the traditional approach identifies the ESS with such a historical sample size. However, this measure is independent of newly observed data, and thus would not capture an actual “loss of information” induced by the prior in case of prior‐data conflict. We build on a recent work to relate prior impact to the number of (virtual) samples from the current data model and introduce the effective current sample size (ECSS) of a prior, tailored to the application in Bayesian clinical trial designs. Special emphasis is put on robust mixture, power, and commensurate priors. We apply the approach to an adaptive design in which the number of recruited patients is adjusted depending on the effective sample size at an interim analysis. We argue that the ECSS is the appropriate measure in this case, as the aim is to save current (as opposed to historical) patients from recruitment. Furthermore, the ECSS can help overcome lack of consensus in the ESS assessment of mixture priors and can, more broadly, provide further insights into the impact of priors. An R package accompanies the paper.
How to predict biodiversity in space? An evaluation of modelling approaches in marine ecosystems
Authors: Zhang Chongliang , Chen Yong , Xu Binduo , Xue Ying , Ren Yiping 
Published: July 2019

AbstractAimBiodiversity prediction becomes increasingly important in the face of global diversity loss, whereas substantial challenges still exist in both conceptual and technical aspects. There exist many predictive models, and an integrative evaluation can help understand their performance in handling the multifacets of biodiversity. This study aims to evaluate the performance of these modelling approaches to predict both α‐ and β‐diversity in diverse ecological contexts.LocationNorth Yellow Sea, China.MethodsThe biodiversity models follow three strategies, “assemble first, predict later”, “predict first, assemble later” and “assemble and predict together”. Hill diversity profile, Fisher's log‐series parameter and the distance decay of similarity are used to measure α‐ and β‐diversity. The evaluation study is conducted based on seasonal bottom trawl surveys from October 2016 to August 2017 in North Yellow Sea, China, allocated to coastal and offshore areas. We evaluate the predictive power of the models using cross‐validation.ResultsFollowing the “assemble first, predict later” approach, macroecological model (MEM) provided the most accurate prediction overall, whereas stacked species distribution model (SSDM) and joint species distribution model (JSDM), following the second and third modelling approaches, tended to overestimate α‐diversity and underestimate β‐diversity. The performances of SSDM and JSDM could be improved by moderately down‐weighting rare species. The relative performances of the three modelling approaches were consistent among seasons and spatial regions.Main conclusionsThe superior performances of MEM in a range of temporal and spatial contexts favour the “assemble first, predict later” approach and imply a tight community assembly in the studied area. The overall predictive powers of varying models suggest that the spatial pattern of marine biodiversity could be fairly well predicted with commonly accessible hydrologic data in a mesoscales. The approach of multi‐model evaluations is applicable to a variety of ecosystems for biodiversity prediction.
A novel specific peroxisome proliferator‐activated receptor γ (PPARγ) modulator YR4‐42 ameliorates hyperglycaemia and dyslipidaemia and hepatic steatosis in diet‐induced obese mice
Authors: Huan Yi , Pan Xuan , Peng Jun , Jia Chunming , Sun Sujuan , Bai Guoliang , Wang Xing , Zhou Tian , Li Rongcui , Liu Shuainan , Li Caina , Liu Quan , Liu Zhanzhu , Shen Zhufang 
Published: July 2019

AbstractAimsTo evaluate a novel tetrahydroisoquinoline derivative YR4‐42 as a selective peroxisome proliferator‐activated receptor γ (PPARγ) modulator (SPPARM) and explore its anti‐diabetic effects in vitro and in vivo.Materials and methodsUsing two standard full PPARγ agonists rosiglitazone and pioglitazone as controls, the PPARγ binding affinity and transactivation action of YR4‐42 were evaluated using biochemical and cell‐based reporter gene assays. The capacity of YR4‐42 to recruit coactivators of PPARγ was also assessed. The effects of YR4‐42 on adipogenesis and glucose consumption and PPARγ Ser273 phosphorylation were investigated in 3T3‐L1 adipocytes. The effects of YR4‐42 and pioglitazone, serving as positive control, on glucose and lipids metabolism were investigated in high‐fat diet‐induced obese (DIO) C57BL/6J mice. The expression of PPARγ target genes involved in glucose and lipid metabolism was also assessed in vitro and in vivo.ResultsIn vitro biochemical and cell‐based functional assays showed that YR4‐42 has much weaker binding affinity, transactivation, and recruitment to PPARγ of the coactivators thyroid hormone receptor‐associated protein complex 220 kDa component (TRAP220) and PPARγ coactivator 1‐α (PGC1α) compared to full agonists. In 3 T3‐L1 adipocytes, YR4‐42 significantly improved glucose consumption without a lipogenesis effect, while blocking tumour necrosis factor α‐mediated phosphorylation of PPARγ at Ser273, thereby upregulating the expression of the PPARγ Ser273 phosphorylation‐dependent genes. Furthermore, in DIO mice, oral administration of YR4‐42 ameliorated the hyperglycaemia, with a similar insulin sensitization effect to that of pioglitazone. Importantly, YR4‐42 also improved hyperlipidaemia‐associated hepatic steatosis without weight gain, which avoids a major side effect of pioglitazone. Thus, YR4‐42 appeared to selectively modulate PPARγ responses. This finding was supported by the gene expression analysis, which showed that YR4‐42 selectively targets PPARγ‐regulated genes mapped to glucose and lipid metabolism in DIO mice.ConclusionsWe conclude that YR4‐42 is a novel anti‐diabetic drug candidate with significant advantages compared to standard PPARγ agonists. YR4‐42 should be further investigated in preclinical and clinical studies.
Moisture content detection of maize seed based on visible/near‐infrared and near‐infrared hyperspectral imaging technology
Authors: Zhang Yanmin , Guo Wenchuan 
Published: July 2019

SummaryTo realise accurate and nondestructive detection on moisture content of maize seed based on visible/near‐infrared (Vis/NIR) and near‐infrared (NIR) hyperspectral imaging technology, the hyperspectral images on two sides (embryo and endosperm sides) of each maize seed of four varieties were collected. The effects of average spectra extraction regions, that is centroid region and whole seed region, and different spectral preprocessing methods, were investigated. Uninformative variable elimination (UVE) was used to extract the feature wavelengths, and the partial least squares regression (PLSR) prediction models were established. The results showed that extracting the average spectra from the centroid region did better than from the whole seed region, and S‐G smoothing was prior to other preprocessing methods. The PLSR models established with NIR spectra had better performance than that with Vis/NIR spectra. The model developed for a single variety was superior to that for all varieties together.
Extruded meat alternatives made from Maillard‐reacted beef bone hydrolysate and plant proteins: part I – Effect of moisture content
Authors: Chiang Jie Hong , Hardacre Allan K. , Parker Michael E. 
Published: July 2019

SummaryThis study investigated the effects of moisture content (MC) on the physicochemical properties of extruded meat alternatives made from Maillard‐reacted beef bone hydrolysate and plant proteins. Samples were extruded at 170 °C (maximum barrel temperature), at 3.6 kg h−1 (liquid feed rate) and at 1.8, 2.2, 2.6 and 3.0 kg h−1 (dry feed rates) to obtain MC of 60%MC, 56%MC, 52%MC and 49%MC, respectively. Meat alternatives at 52%MC showed the greatest degree of texturisation. However, meat alternatives at 49%MC were the closest in terms of both textural and microstructural properties to reference sample, boiled chicken breast. Results from protein solubility suggested that a large amount of aggregated proteins were associated with hydrogen bonds, while disulphide bonds were the main contributor in the formation of fibrous structure in meat alternatives. Results showed that the change in MC as process parameter played an important role in the formation of fibrous structure in extruded meat alternatives.
Headspace fingerprinting approach to identify the major pathway influencing volatile patterns of vinasse‐cured duck processed by high pressure, as well as its impact on physicochemical and sensory attributes
Authors: Xia Qiang , Feng Tao , Lou Xiaowei , Wang Ying , Sun Yangying , Pan Daodong , Cao Jinxuan 
Published: July 2019

SummaryAs a decisive attribute, flavour could be influenced by HP treatments through multiple physical and chemical pathways within the high pressure (HP)‐assisted meat curing process. This investigation aimed to identify the major pathway influencing volatile flavour patterns of two representative vinasse‐cured duck (VCD) products with HP treatments (150–300 MPa/15 min), including wet and dry types, by employing headspace fingerprinting as an untargeted approach. Results suggested that HP treatments greatly lowered moisture contents and increased Warner‐Bratzler shear force and thiobarbituric acid reactive substances of the cured samples. According to multivariate models, the volatile flavour patterns of the HP‐processed VCD could be clearly separated from the unprocessed samples, but the VCD pressurised at different intensities represented similar volatile fingerprinting, which was validated by e‐nose analysis. The discriminant analysis (OPLS‐DA) model outlined vinasse‐derived ethanol, acetic acid, 3‐methyl‐1‐butanol, 2‐methyl‐1‐butanol, phenethyl alcohol and 2‐methyl‐3‐octanone as the major discriminant aromas across the unpressurised and pressurised samples.