bluuebunny/crossref_metadata_2025_split huggingface dataset:
Phosphorites, glass ramps and carbonate factories: The evolution of an epicontinental sea and a late Palaeozoic upwelling system (Phosphoria Rock Complex)
Authors: Matheson Edward J. , Frank Tracy D. 
Published: March 2020

AbstractThe Permian Phosphoria Rock Complex of the western USA contains an enigmatic assemblage of bioelemental rocks (i.e. phosphorites and cherts) that accumulated in a depositional system with no modern analogue. This study utilizes detailed sedimentological, stratigraphic and petrographic examination to evaluate the genetic relations of phosphorites, spiculitic chert and carbonates of the Ervay cycle (depositional sequence) and propose a unified oceanographic model for their deposition. The Ervay cycle contains three marine and one terrestrial facies association, each of which composes the bulk of a single lithostratigraphic unit. The marine facies associations include: (i) granular phosphorites (Retort Member); (ii) spiculitic cherty dolostones (Tosi Member); and (iii) marine to peritidal carbonates (Ervay Member). Red beds and intercalated gypsum (Goose Egg Formation) accumulated in the vast desert adjacent to the sea. The three marine members are chronostratigraphically distinct, successive and conformably stacked. They are not coeval facies belts. They reflect the progressive evolution of the epicontinental sea from the location of: (i) authigenic phosphogenesis (lowstand to transgression); to (ii) a glass ramp with biosiliceous (sponge) deposition (transgression); to (iii) a carbonate ramp (regression). This succession of switching biochemical sediment factories records the evolution of sea‐level, nutrient supply, upwelling, oxygenation and dissolved Si. Intense upwelling, potentially coupled with aeolian input, led to sedimentary condensation and phosphogenesis. Decreased upwelling intensity during transgression increased oxygenation sufficiently for a siliceous sponge benthos. Sponges were favoured over biocalcifiers due to elevated dissolved silica and a low carbonate saturation state. The cessation of sponge dominance and transition to a carbonate ramp occurred due to decreasing upwelling intensity, Si drawdown and an increased carbonate saturation state. These results provide insight into the role of Si loading in faunal turnover on glass ramps and highlight how differences in dissolved Si utilizers in pre‐Cretaceous versus post‐Cretaceous upwelling systems influence the resultant deposits.
Unattractive people are unaware of their (un)attractiveness
Authors: Greitemeyer Tobias 
Published: March 2020

Past research has shown that how people rate their physical attractiveness is only moderately correlated with how they are rated by others, suggesting that at least some people have little insight into their true level of attractiveness. The present research tests the hypothesis that unattractive people are not aware of their unattractiveness. In fact, six studies (overall N = 1,180) showed that unattractive participants considerably overestimated their attractiveness compared to ratings by strangers. In contrast, attractive participants were more accurate. If anything, they underestimated their attractiveness. It was also examined why unattractive people overestimate their attractiveness. As expected, unattractive participants differentiated less between attractive and unattractive stimulus persons than did attractive participants. They were also more likely than attractive participants to select unattractive stimulus persons to compare themselves to. However, these tendencies did not account for why unattractive participants overestimated their attractiveness, nor did affirming participant’s self‐worth. Limitations and avenues for future research are discussed.
A Novel Model-Based Framework for Power Consumption Prognosis in Multirotors Applied to the Battery End of Discharge Prognostics
Authors: Sierra Gina , Goebel Kai 
Published: March 2020

AbstractAccurately estimating the time of battery end of discharge (EOD) in electric unmanned aerial vehicles (UAVs) provides assurance that a given mission can be completed before the energy stored in the battery runs out and aids decision-making processes such as mission replanning to mitigate shortcomings associated with the available energy. The accuracy of the predicted battery EOD time is strongly correlated to the accuracy of the expected power consumption during the mission. This paper reports on a novel model-based framework for power consumption prognosis in multirotors which includes an improved power consumption model that characterizes the power required by a multirotor in axial and nonaxial translation and incorporates the wind effects on the required power. A particle filter is used in conjunction with the concept of artificial evolution to estimate and monitor wind speed, wind direction, and thrust based on measurements of power. Monte Carlo sampling-based predictor is used to predict the trajectories of power used in battery EOD prognostic. The framework is applied to battery EOD prognostic of a quadcopter that performs a delivery mission with low horizontal speed (where rotor tilt is not a significant factor). Results show that predicted trajectories of power accurately represent the uncertainty of future power consumption. Even when certain information (such as aircraft weight) is not available at every time-step, the framework allows tracking the actual EOD time because of its capability to monitor thrust. These results demonstrate the effectiveness of the proposed framework.
Influence of Excitation Frequency, Phase Shift, and Duty Cycle on Cooling Ratio in a Dynamically Forced Impingement Jet Array
Authors: Berthold Arne , Haucke Frank 
Published: March 2020

Abstract
The cooling ratio on a dynamically forced 7 × 7 impingement jet array is studied experimentally. The current study is focused on determining the influence of a phase shift between every row of nozzles as well as the impact of a duty cycle variation on the cooling ratio. Both parameters are studied in dependency of the impingement distance (H/D = 2, 3, 5), the (nozzle-) Reynolds-number (ReD = 3200, 5200, 7200), and the excitation frequency (f = 0 Hz − 1000 Hz). For every set of parameters, the phase shift between every row of nozzles is varied between Φ=0% and 90%, while the variation of the duty cycle is performed between duty cycle (DC) = 35% and 65%. During all investigations, the dimensionless distance between adjacent nozzles is fixed at Sx/D = Sy/D = 5, and liquid crystal thermography is used to acquire the wall temperatures, which are further processed to calculate the local Nusselt numbers. Generally, the implementation of an excitation frequency allows a case-depending increase in the cooling ratio of up to 52%. Further implementation of a phase shift yields an additional frequency-depending improvement of the cooling ratio. In case of duty cycle variation, the best case revealed an additional 19% improvement in the cooling ratio.
Effect of Matrix Alloying on Braking Performance of Copper-Based Brake Pad Under Continuous Emergency Braking
Authors: Zhang Peng , Zhang Lin , Wei Dongbin , Qu Xuanhui 
Published: March 2020

Abstract
The continuous emergency braking performance of copper-based brake pads alloyed with different Ni contents were tested. The results showed that the copper-based brake pad with high Ni content exhibits improved stability of friction coefficient during the whole emergency braking process, which indicates that Ni helps to reduce the sensitivity of the brake pad to the change of braking conditions. Moreover, the fade phenomenon of friction coefficient is obviously alleviated as the increase in Ni content under high-pressure and high-speed braking conditions. The introduction of Ni enhances the plastic deformation resistance of friction surface and promotes the formation of high-strength mechanical mixed layer and thick tribo-oxide film. This stable tribo-film remained on the contact interface is responsible for the steady mean friction coefficient under different braking conditions. Excessive addition of Ni reduces the plasticity of the friction surface, leading to the change of the main wear mechanism from adhesive wear to delamination
Experimental Characterization of the Electrostatic Levitation Force in MEMS Transducers
Authors: Daeichin Meysam , Miles Ronald N. , Towfighian Shahrzad 
Published: March 2020

Abstract
In this study, a two-step experimental procedure is described to determine the electrostatic levitation force in micro-electromechanical system transducers. In these two steps, the microstructure is excited quasi-statically and dynamically and its response is used to derive the electrostatic force. The experimental results are obtained for a 1 mm by 1 mm plate that employs 112 levitation units. The experimentally obtained force is used in a lumped parameter model to find the microstructure response when it is subjected to different dynamical loads. The natural frequency and the damping ratios in the model are identified from the experimental results. The results show that this procedure can be used as a method to extract the electrostatic force as a function of the microstructure’s degrees-of-freedom. The procedure can be easily used for any microstructure with a wide variety of electrode configurations to predict the response of the system to any input excitation.
Understanding the Effects of Capturing Climate and Occupancy Trends During Concept-Stage Sustainable Building Design
Authors: Lin Sean , Albarhami Bahaa , Mayoral Salvador , Piacenza Joseph 
Published: March 2020

Abstract
This paper presents a model prediction to capture specifically how energy usage in sustainable buildings on college campuses is affected by different variables of student life. The California State University, Fullerton (CSUF) Student Housing Phase III, which received a Platinum Leadership in Energy and Environmental Design (LEED) certification for the Building Design and Construction category, with its performance in a LEED California Nonresidential Title 24 (NRT24) and ASHRAE 90.1 climate zones, is used as a case study to illustrate the method. Through LEED-approved software, the standard compliant energy models are compared with the occupancy-scheduled models along with the actual energy consumption in different climate zones. The results provide insight into how variables within student dormitory life affect the total building energy usage. The total amount of energy consumed per area is one new factor providing understanding into occupancy trends. This new data set reveals more understanding regarding how and where the energy is consumed to maintain a comfortable learning environment. The LEED certification program is one benchmark used to determine sustainable building design. Designers must adhere to set standards before being awarded a U.S. Green Building Council (USGBC) certification such as LEED. The results from this paper will provide input over which variables within student dormitory life affect the energy usage of the building. With the model results, some solutions are presented to update the LEED project certification as well as to reduce student energy usage.
Investigating Information: A Qualitative Analysis of Expert Designers’ Information Representation and Structuring Behaviors
Authors: Damen Nicole B. , Toh Christine 
Published: March 2020

AbstractInformation organization and utilization are integral to the design and development of creative ideas. However, navigating this often complex information space can be challenging, even for experienced designers. Therefore, a deep analysis of how expert software designers utilize and organize information is needed to provide qualitative insights into their information organization strategies. To address this, four professionals in the software design and development field were recruited for individual 3-hour design sessions. They were asked to generate ideas for a design challenge (reducing distraction-based pedestrian accidents) using information sheets specifically developed to contain different types of information, as identified by prior work. Results reveal individual differences in information approach and categorization, although these were motivated by similar underlying patterns of evaluating the relevance of the information for its ability to inform the project constraints, resources, or (user) requirements. Designer experience and use of design processes and knowledge transfer tools enhanced their ability to turn information into insights.
Lattice Boltzmann Computations of Natural Convection Heat Transfer of Nanofluid in a Square Cavity Heated by Protruding Heat Source
Authors: Faraji Mustapha , Berra El Mehdi 
Published: March 2020

AbstractThis paper reported the mathematical modeling and numerical simulation of natural convection flow of Cu/water nanofluid in a square enclosure using the lattice Boltzmann method (LBM). The cavity is heated from below by heat source and cooled by the top wall. The vertical walls are adiabatic. After validating the numerical code against the numerical and experimental data, simulations were performed for different Rayleigh numbers (104–0.5 × 107), nanoparticles volume fractions (0–8%), and cavity inclination angle (0 deg–90 deg). The effects of the studied parameters on the streamlines, on isotherms distributions within the enclosure, and on the local and average Nusselt numbers are investigated. It was found that heat transfer and fluid flow structure depend closely on the nanoparticle concentration. Results show differences in stream separation between a base fluid and the nanofluid. Also, adding small nanoparticles fractions, less than 6%, to the base fluid enhances the heat transfer for higher Rayleigh numbers and cavity inclination angle less than 30 deg. It is concluded that the optimal dilute suspension of copper nanoparticles can be applied as a passive way to enhance heat transfer in natural convection engineering applications.
Predicting the Operability of Damaged Compressors Using Machine Learning
Authors: Taylor J. V. , Conduit B. , Dickens A. , Hall C. , Hillel M. , Miller R. J. 
Published: March 2020

AbstractThe application of machine learning to aerospace problems faces a particular challenge. For successful learning, a large amount of good quality training data is required, typically tens of thousands of cases. However, due to the time and cost of experimental aerospace testing, these data are scarce. This paper shows that successful learning is possible with two novel techniques: The first technique is rapid testing. Over the last 5 years, the Whittle Laboratory has developed a capability where rebuild and test times of a compressor stage now take 15 min instead of weeks. The second technique is to base machine learning on physical parameters, derived from engineering wisdom developed in industry over many decades. The method is applied to the important industry problem of predicting the effect of blade damage on compressor operability. The current approach has high uncertainty, and it is based on human judgement and correlation of a handful of experimental test cases. It is shown using 100 training cases and 25 test cases that the new method is able to predict the operability of damaged compressor stages with an accuracy of 2% in a 95% confidence interval; far better than is possible by even the most experienced compressor designers. Use of the method is also shown to generate new physical understanding, previously unknown by any of the experts involved in this work. Using this method in the future offers an exciting opportunity to generate understanding of previously intractable problems in aerospace.
Accumulation of Major Linezolid Metabolites in Patients with Renal Impairment
Authors: Souza Ernane , Crass Ryan L. , Felton Jeremy , Hanaya Kengo , Pai Manjunath P. 
Published: March 2020

In patients with renal impairment (
n
= 22 of 39), the median serum concentrations of linezolid, PNU-142300, and PNU-142586 were 1.6-, 3.3-, 2.8-fold higher, respectively, than in patients without renal impairment. Metabolite concentrations in paired samples were poorly correlated with linezolid concentrations (
r
2
= 0.26 for PNU-142300 and 0.06 for PNU-142586). Linezolid and its metabolites share potential toxicophores that deserve characterization to mitigate higher myelosuppression risk in patients with renal impairment.
Is e-cigarette use in non-smoking young adults associated with later smoking? A systematic review and meta-analysis
Authors: Khouja Jasmine N , Suddell Steph F , Peters Sarah E , Taylor Amy E , Munafò Marcus R 
Published: March 2020

ObjectiveThe aim of this review was to investigate whether e-cigarette use compared with non-use in young non-smokers is associated with subsequent cigarette smoking.Data sourcesPubMed, Embase, Web of Science, Wiley Cochrane Library databases, and the 2018 Society for Research on Nicotine and Tobacco and Society for Behavioural Medicine conference abstracts.Study selectionAll studies of young people (up to age 30 years) with a measure of e-cigarette use prior to smoking and an outcome measure of smoking where an OR could be calculated were included (excluding reviews and animal studies).Data extractionIndependent extraction was completed by multiple authors using a preprepared extraction form.Data synthesisOf 9199 results, 17 studies were included in the meta-analysis. There was strong evidence for an association between e-cigarette use among non-smokers and later smoking (OR: 4.59, 95% CI: 3.60 to 5.85) when the results were meta-analysed in a random-effects model. However, there was high heterogeneity (I2=88%).ConclusionsAlthough the association between e-cigarette use among non-smokers and subsequent smoking appears strong, the available evidence is limited by the reliance on self-report measures of smoking history without biochemical verification. None of the studies included negative controls which would provide stronger evidence for whether the association may be causal. Much of the evidence also failed to consider the nicotine content of e-liquids used by non-smokers meaning it is difficult to make conclusions about whether nicotine is the mechanism driving this association.
The Last Glacial Maximum Balearic Abyssal Plain megabed revisited
Authors: Cattaneo Antonio , Badhani Shray , Caradonna Cristina , Bellucci Massimo , Leroux Estelle , Babonneau Nathalie , Garziglia Sébastien , Poort Jeffrey , Akhmanov Grigorii G. , Bayon Germain , Dennielou Bernard , Jouet Gwenäel , Migeon Sébastien , Rabineau Marina , Droz Laurence , Clare Michael 
Published: March 2020

Abstract
Megabeds are thick sedimentary layers extending over thousands of square kilometres in deep-sea basins and are thought to result from large slope failures triggered by major external events. Such deposits have been found in at least three areas of the Mediterranean Sea. Although their discovery dates back to the early 1980s, many questions remain concerning their initiation, source area, extent and the nature of their emplacement. One of the largest previously documented megabeds was emplaced during the Last Glacial Maximum across the Balearic Abyssal Plain, with a thickness of 8–10 m in water depths of up to 2800 m.

New 3.5 kHz sub-bottom profiles and sediment cores provide greater constraints on the lateral variability of the megabed and allow it to be mapped beyond previous estimates, with a revised areal extent of 90 000–100 000 km
2
. The megabed terminations show a gradual pinchout to the west and an abrupt eastward termination against the steep Sardinia margin. The megabed presents, in seismic profiles and sediment cores, a tripartite subdivision, which most likely corresponds to the changes in flow regimes across the basin, with a central area of sandy facies and an erosional base oriented NNE–SSW; this allows renewed discussions about the sources and triggers of the megabed.
Increased GABAergic transmission in neuropeptide Y-expressing neurons in the dopamine-depleted murine striatum
Authors: Rubi Lena , Fritschy Jean-Marc 
Published: March 2020

As the main input nucleus of the basal ganglia, the striatum plays a central role in planning, control, and execution of movement and motor skill learning. More than 90% of striatal neurons, so-called medium spiny neurons (MSN), are GABAergic projection neurons, innervating primarily the substantia nigra pars reticulata or the globus pallidus internus. The remaining neurons are GABAergic and cholinergic interneurons, synchronizing and controlling striatal output by reciprocal connections with MSN. Besides prominent local cholinergic influence, striatal function is globally regulated by dopamine (DA) from the nigrostriatal pathway. Little is known about whether DA depletion, as occurs in Parkinson’s disease, affects the activity of striatal interneurons. Here we focused on neuropeptide Y (NPY)-expressing interneurons, which are among the major subgroups of GABAergic interneurons in the striatum. We investigated the effects of striatal DA depletion on GABAergic transmission in NPY interneurons by electrophysiologically recording GABAergic spontaneous (s) and miniature (m) inhibitory postsynaptic currents (IPSCs) in identified NPY interneurons in slices from 6-hydroxydopamine (6-OHDA)- and vehicle-injected transgenic NPY-humanized Renilla green fluorescent protein (hrGFP) mice with the whole cell patch-clamp technique. We report a significant increase in sIPSC and mIPSC frequency as well as the occurrence of giant synaptic and burst sIPSCs in the 6-OHDA group, suggesting changes in GABAergic circuit activity and synaptic transmission. IPSC kinetics remained unchanged, pointing to mainly presynaptic changes in GABAergic transmission. These results show that chronic DA depletion following 6-OHDA injection causes activity-dependent and -independent increase of synaptic GABAergic inhibition onto striatal NPY interneurons, confirming their involvement in the functional impairments of the DA-depleted striatum. NEW & NOTEWORTHY Neuropeptide Y (NPY) interneurons regulate the function of striatal projection neurons and are upregulated upon dopamine depletion in the striatum. Here we investigated how dopamine depletion affects NPY circuits and show electrophysiologically that it leads to the occurrence of giant synaptic and burst GABAergic spontaneous inhibitory postsynaptic currents (IPSCs) and to an activity-independent increase in GABAergic miniature IPSC frequency in NPY neurons. We suggest that degeneration of dopaminergic terminals in the striatum causes functional changes in striatal GABAergic function.