bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinanten der kognitiven Entwicklung bei Kindern – Ergebnisse des Mann-Zeichen-Tests aus der Vorschuluntersuchung
Authors: Braig Stefanie , Fischer Nora , Freudenmann Matthias , Gonser Theodor , Genuneit Jon , Kolassa Iris-Tatjana , Rothenbacher Dietrich 
Published: March 2020

Zusammenfassung
Ziel der Studie Bestimmung von Determinanten und Einflussfaktoren der Wahrnehmungsentwicklung bzw. der kognitiven Entwicklung anhand des Mann-Zeichen-Tests bei Vorschulkindern.
Methodik Datengrundlage bildeten Elternfragebögen, die im Rahmen einer Geburtskohortenstudie (Ersterhebung 2000/2001 in Ulm) eingesetzt wurden mit Folgeerhebungen im zweiten, dritten, vierten und sechsten Lebensjahr. Die kognitive Entwicklung wurde anhand von Zeichnungen von n=298 Kindern anlässlich der Schuleingangsuntersuchung (mittleres Alter=5,8 Jahre, SD=0,4) mithilfe des Mann-Zeichen-Tests gemessen. Bi- und multivariable lineare Regressionsanalysen dienten zur Analyse von möglichen Einflussfaktoren.
Ergebnisse Bei Jungen fand sich eine positive Assoziation zwischen der einer hohen Schulbildung des Vaters und der kindlichen kognitiven Entwicklung (Regressionskoeffizient b, p-Wert: 6,65, p=0,018). Tendenziell konnte darüber hinaus ein negativer Zusammenhang des Besuchs eines Kinderhorts (b=− 0,18/Monat, p=0,074) sowie von allergischen Erkrankungen (b=− 6,02, p=0,075) und der kognitiven Entwicklung gezeigt werden. Ein Fernseh-/Videokonsum von mehr als 30 Min./Tag im Alter von 4 Jahren (b=− 9,37, p=0,005) war deutlich negativ mit den kindlichen kognitiven Fähigkeiten assoziiert. Bei Mädchen zeigten sich Hinweise auf eine negative Assoziation zwischen einer hohen mütterlichen Schulbildung (b=− 4,43, p=0,091) sowie eine positive Assoziation zwischen allergischen Erkrankung und der kognitiven Entwicklung (b=6,42, p=0,075). Eine gleichzeitige Adjustierung für alle relevanten Kovariablen führte sowohl bei Jungen als auch bei Mädchen zur Abschwächung der Assoziationen, jedoch blieb bei Jungen der Zusammenhang der väterlichen Bildung und des Fernseh-/Videokonsums mit den kindlichen kognitiven Fähigkeiten bestehen.
Schlussfolgerung Die Studie zeigt modifizierbare Faktoren auf, die mit der kognitiven Fähigkeit von Jungen und Mädchen im Alter von 6 Jahren in Zusammenhang stehen, insbesondere der frühkindliche Medienkonsum bei Jungen.
Thoracic Aortic Emergencies: Presenting Pathologies and Treatment Strategies
Authors: Sheeran Daniel P. , Zelickson Adam M. , Wilkins Luke R. , Angle J. Fritz , Williams David M. , Khaja Minhaj S. 
Published: March 2020

AbstractThoracic aortic emergencies reflect a wide range of etiologies, pathologic processes, and clinical presentations. Accurate identification with an appropriate treatment algorithm is best accomplished in a multidisciplinary setting with interventional radiologists, vascular surgeons, and cardiothoracic surgeons. While knowledge of thoracic stent graft equipment and technique is essential in the treatment of thoracic aortic emergencies, many clinical settings may employ alternative treatment techniques. This article will review the most common thoracic aortic emergencies and treatment strategies.
Gastrointestinal Bleeding on Call: Questions and Answers and One Person's Opinions
Authors: Funaki Brian 
Published: March 2020

AbstractGastrointestinal (GI) bleeding represents one of the more morbid forms of hemorrhage that interventional radiologists deal with on an on-call basis. Bleeding from the GI tract takes many forms and has many etiologies. While venous bleeds from varices are often treated emergently with placement of a transjugular intrahepatic portosystemic shunt, arterial hemorrhages are treated most effectively with embolization procedures. Embolization must be performed in specific ways, however, in an effort to decrease the risk of bowel ischemia; this also requires choosing the right patients in whom to perform embolization procedures. This article will provide a discussion on when to perform embolization and how, what to do with specific patient populations such as those with coagulopathy, and which patients should be considered for emergent treatment versus those that can be postponed.
Visual pragmatics of abbreviations and otiose strokes in John Lydgate’sSiege of Thebes
Authors: Rogos-Hebda Justyna 
Published: March 2020

Abstract
This paper1 addresses the visual-pragmatic functions of the so-called common mark of abbreviation, or macron, in a section of BL Royal MS 18 D II (ff. 147v–162r) – one of the best known “deluxe” manuscripts containing Lydgate’s Siege of Thebes. Contextualised within the framework of visual pragmatics, or Pragmatics on the Page (Carroll et al. 2013), the manuscript in question is considered here as a visual text (Kendall et al. 2013) – one for which the readers construe the meaning through internalising the physical organisation of discourse. The paper attempts to unpack the ways in which the common mark of abbreviation, employed by the scribes as a visual-pragmatic marker, organises the discourse of the manuscript page on three levels of meaning: textual, interactional and metalinguistic (following Erman 2001). The pragmatic roles of the macron are then confronted with the visual forms and possible functions of its notorious graphic doppelgänger (i.e., the otiose stroke).
Local grammars and diachronic speech act analysis
Authors: Su Hang 
Published: March 2020

AbstractThis paper proposes a method that is designed to facilitate diachronic speech act analysis. The proposed method draws on the corpus linguistic concept of local grammar – an approach which seeks to account for, not the whole of a language, but one meaning or function only. Local grammar descriptions capture both formal and semantic regularities of speech act realisations, and local grammars offer a more reliable way to quantify speech act realisations across time. It is particularly in this respect that it is argued that a local grammar approach can be useful for diachronic speech act studies, which is demonstrated subsequently by tracing one particular speech act, namely “apology”, in a sample of the Corpus of Historical American English (coha).
Variational mean-fluctuation splitting and drift-fluid models
Authors: Tronci Cesare 
Published: March 2020

Abstract
After summarizing the variational approach to splitting mean flow and fluctuation kinetics in the standard Vlasov theory, the same method is applied to the drift-kinetic equation from Littlejohn’s theory of guiding-center motion. This process sheds a new light on drift-ordered fluid (drift-fluid) models, whose anisotropic pressure tensor is then considered in detail. In addition, current drift-fluid models are completed by the insertion of magnetization terms ensuring momentum conservation. Magnetization currents are also shown to lead to challenging aspects when drift-fluid models are coupled to Maxwell’s equations for the evolution of the electromagnetic field. In order to overcome these difficulties, a simplified guiding-center theory is proposed along with its possible applications to hybrid kinetic-fluid models.
Mapping of primary somatosensory cortex of the hand area using a high-density electrocorticography grid for closed-loop brain computer interface
Authors: Kramer Daniel R , Lee Morgan B , Barbaro Michael F , Gogia Angad S , Peng Terrance , Liu Charles Y , Kellis Spencer , Lee Brian 
Published: March 2020

Abstract

Objective. The ideal modality for generating sensation in sensorimotor brain computer interfaces (BCI) has not been determined. Here we report the feasibility of using a high-density ‘mini’-electrocorticography (mECoG) grid in a somatosensory BCI system. Approach. Thirteen subjects with intractable epilepsy underwent standard clinical implantation of subdural electrodes for the purpose of seizure localization. An additional high-density mECoG grid was placed (Adtech, 8 by 8, 1.2 mm exposed, 3 mm center-to-center spacing) over the hand area of primary somatosensory cortex. Following implantation, cortical mapping was performed with stimulation parameters of frequency: 50 Hz, pulse-width: 250 µs, pulse duration: 4 s, polarity: alternating, and current that ranged from 0.5 mA to 12 mA at the discretion of the epileptologist. Location of the evoked sensory percepts was recorded along with a description of the sensation. The hand was partitioned into 48 distinct boxes. A box was included if sensation was felt anywhere within the box. Main results. The percentage of the hand covered was 63.9% (± 34.4%) (mean ± s.d.). Mean redundancy, measured as electrode pairs stimulating the same box, was 1.9 (± 2.2) electrodes per box; and mean resolution, measured as boxes included per electrode pair stimulation, was 11.4 (± 13.7) boxes with 8.1 (± 10.7) boxes in the digits and 3.4 (± 6.0) boxes in the palm. Functional utility of the system was assessed by quantifying usable percepts. Under the strictest classification, ‘dermatomally exclusive’ percepts, the mean was 2.8 usable percepts per grid. Allowing ‘perceptually unique’ percepts at the same anatomical location, the mean was 5.5 usable percepts per grid. Significance. Compared to the small area of coverage and redundancy of a microelectrode system, or the poor resolution of a standard ECoG grid, a mECoG is likely the best modality for a somatosensory BCI system with good coverage of the hand and minimal redundancy.
The effect of minimum thrust coefficient control strategy on power output and loads of a wind farm
Authors: Meng Fanzhong , Hou Lio Alan Wai , Liew Jaime 
Published: March 2020

Abstract
The use of down-regulation control strategies for wind turbines potentially optimises the wind farm performance. One of the promising strategies to minimise the wind farm loads and maximise the energy production is by down-regulating the upstream turbine with minimum thrust coefficient (Ct
). Nonetheless, a majority of minimum Ct
control studies is confined to fatigue load analysis of a single turbine. Therefore, this paper focuses on the investigation of the fatigue loads when operating turbines in a wind farm using a minimum Ct
control strategy, as well as extreme loads and energy production. The control strategy is implemented in the DTU Wind Energy controller coupled with the aero-elastic code, HAWC2. The Dynamic Wake Meandering model in HAWC2 is used so that the wake deficits generated from the upstream turbines realistically represent the minimum Ct
control strategy, as well as the interactions between wakes. The main contribution of this paper is to investigate the possible wind farm operating strategy using minimum Ct
control that leads to decrease the lifetime fatigue loads and increase the overall energy production of a wind farm due to the potential extended lifetime of certain wind turbine components.
A Metocean Reference Station for Offshore Wind Energy Research in the U.S.
Authors: Kirincich Anthony 
Published: March 2020

Abstract
There is an acute need for a long-term metocean reference site that will aid the near-term development of the offshore wind energy industry in the United States. High quality, multi-year observations of the wind resource at hub height in areas relevant to offshore wind energy are a requirement for reducing uncertainties in wind resource assessment, improving the fidelity of numerical models, assimilated products of the resource, and forecasts of near-term operational conditions and wind energy power production. Yet, few long-term data sets exist over the U.S. outer continental shelf that can provide accurate guidance for developers, turbine manufacturers, and utility operators. Thus, there is a critical need for robust, long-term data collection at a site having conditions representative of wind energy development areas. Additionally, an efficient and effective location for validating existing measurement systems and testing and verifying the accuracy of new sensors will play a key role in reducing uncertainty of estimates of the wind resource and reducing the cost and risk associated with offshore development.
Lidar-assisted yaw control for wind turbines using a 9-beam nacelle lidar demonstrator
Authors: Kawabata Hirokazu , Kogaki Tetsuya 
Published: March 2020

AbstractIn this study, the relationship between lidar-assisted yaw control and the measurement parameters was clarified using an experimental approach. To investigate the influence of the nacelle lidar configuration on lidar-assisted yaw control, two scan patterns and pulse-integration number settings were varied. The field tests revealed that, in most cases, the relative wind direction was reduced by the lidar-assisted control. The condition with high lidar data availability avoids the influence of noise, and the lidar-assisted control reduces the relative wind direction. These results suggest that in lidar-assisted yaw control, the management of the appropriate lidar data availability is more important than the scan pattern.
In-Blade Measurements of Cyclic Loading on Yawed Turbines with Trailing Edge Flap
Authors: Samara F. , Johnson D. A. 
Published: March 2020

Abstract
Wind turbines operate predominantly in relatively unsteady flow conditions and are typically misaligned with the incoming wind. Based on the literature review, controlling a section of the trailing edge of the turbine blade is found to reduce load fluctuations on wind turbine blades. Here, a detailed experimental setup describes a 3.5 m diameter wind turbine equipped with a trailing edge flap (TEF). The instrumentation of the compact blade was capable of measuring surface pressure and root bending moment, as well as controlling a TEF simultaneously and in time-resolved fashion. The blade is of constant pitch and chord of 178 mm while the TEF covers 20% of the chord and 22% of the 1.47 m aerodynamic blade span. The turbine was tested in a controlled wind generation facility large enough to house the turbine with less than 7% blockage. The wind turbine was tested for a range of tip speed ratios, blade pitch angles, flap angles and yaw cases. Although the turbine blade is capable of cyclically and dynamically change the blade pitch and flap angle, this paper only investigates constant pitch and flap angles. The results show that changes to the flap or pitch angle are capable of manipulating the coefficient of power, root bending moment and normal force coefficient. The results also show that the flap demonstrates similar control authority to that of the pitch system with the flap occupying just 4% of the blade surface area without reducing the power output of the turbine.
The curled wake model: equivalence of shed vorticity models
Authors: Martínez-Tossas Luis A. , Branlard Emmanuel 
Published: March 2020

Abstract
In this work, we explore the spanwise velocities in the wake of a yawed wind turbine. In the curled wake model, these motions are induced by a collection of vortices shed from the rotor plane. The direction of the vorticity generated by yaw is aligned with the main flow (streamwise) direction. The streamwise vorticity induces velocities in the spanwise directions. These are the motions responsible for creating the curled wake mechanism. In this work, we explore a more accurate formulation for this mechanism, using a vortex cylinder. Under certain assumptions, the new and original curled wake models yield the same mathematical formulation. Also, both models predict an elliptic distribution of vortex strength, where the main difference is the location of the vortices.
Characterization of turbulence under different stability conditions using lidar scanning data
Authors: Rai Raj K , Berg Larry K , Newsom Rob , Kaul Colleen M , Mirocha Jeffrey D , Choukulkar Aditya , Brewer Alan , Pichugina Yelena , Banta Robert 
Published: March 2020

Abstract
The spatiotemporal scales of turbulence in the boundary layer flow vary with the static stability of the atmosphere. For example, turbulence structures in unstable conditions are often found to be large and coherent, whereas the turbulent structures in stable conditions are relatively small and sporadic. To better understand the behavior of such turbulent structures under different atmospheric stability conditions in the lower atmosphere, herein, we use scanning lidar data collected over several months during the US Department of Energy’s second Wind Forecast Improvement Project (WFIP 2) in 2016. The radial velocity data from scanning lidar were gathered along the conical surface (PPI mode) and were analyzed using proper orthogonal decomposition (POD) and spectral energy methods. The results from these analyses show that the turbulent structures in daytime unstable conditions are different from those present during nighttime stable conditions in terms of amount of energy and coherent structures. The POD energy is distributed more evenly in all the higher spatial modes in the daytime unstable case compared to the nighttime stable case. Besides characterizing the turbulence in the flow, the lidar data were also used to compare the simulated flow field generated from the WRF-LES framework (Weather Research and Forecasting - large-eddy simulation) with the scanning lidar data. The results from both simulated and lidar scanned data show similar structures - orienting the streak-like structure along the mean wind. This indicates that the streak-like structures can exist in the real atmosphere during unstable atmospheric condition cases.
Mining algorithm for weighted FP-tree frequent item sets based on two-dimensional table
Authors: Li Yuanyuan , Yin Shaohong 
Published: March 2020

Abstract
FP-growth algorithm is a classic algorithm of mining frequent item sets, but there exist certain disadvantages for mining the weighted frequent item sets. Based on the weighted downward closure property of the weighted model, this paper proposed that the weighted support was recorded in the two-dimensional table. This method has saved the process to search for the first conditional pattern base by traversing the weighted FP-tree, improved the efficiency of the weighted frequent item sets generated.
Paragraph-Parallel based Neural Machine Translation Model with Hierarchical Attention
Authors: Zhang Yuqi , Liu Gongshen 
Published: March 2020

Abstract
Neural Machine Translation (NMT) has achieved great developments in recent years, but we still have to face two challenges: establishing a high-quality corpus and exploring optimal parameters of models for long text translation. In this paper, we first attempt to set up a paragraph-parallel corpus based on English and Chinese versions of the novels and then design a hierarchical attention model for it to handle these two challenges. Our encoder and decoder take segmented clauses as input to process the words, clauses, paragraphs at different levels, particularly with a two-layer transformer to capture the context from both source and target languages. The output of the model based on the original transformer is used as another level of abstraction, conditioning on its own previous hidden states. During this process, inter-clause and intra-clause contexts from source and target sides are introduced for translation prediction and both encoder and decoder can profit from contexts in complementary ways. Experimental results show that our hierarchical attention model significantly outperforms six competitive baselines, including ensembles.
A rescheduling approach based on genetic algorithm for flexible scheduling problem subject to machine breakdown
Authors: Nie Li , Wang Xiaogang , Liu Kai , Bai Yuewei 
Published: March 2020

Abstract
In this paper, a rescheduling approach based on genetic algorithm (GA) for solving the flexible scheduling problem subject to machine breakdown is proposed. In the proposed approach, event-driven rolling horizon rescheduling policy is employed to trigger the rescheduling procedure. Computational experiments are conducted on several benchmark data to prove the performance of the proposed approach. The results show that the proposed approach combines the rescheduling strategies of right-shift rescheduling and routing changing rescheduling to optimize the robustness and stability of rescheduling solution simultaneously.
A New Embedded Feature Selection Method using IBALO mixed with MRMR
criteria
Authors: Zhang Yu , Zhao Zhuanzhe , Zhao Shuaishuai , Liu Yongming , He Kang 
Published: March 2020

Abstract
In order to remove irrelevant data and increase classification accuracy in
feature selection, this paper proposed a new Embedded feature selection method
with gathering Minimal Redundancy Maximal Relevance (MRMR) criteria, Sequential
Forward Selection (SFS) and Improved Binary Ant Lion Optimizer (IBALO) together.
Totally, we use three different feature selection methods namely MRMR mixed with
Sequential Forward Selection (MS), MS mixed with Binary Ant Lion Optimizer
(MS-BALO), an improvement of MS-BALO. Experiments prove that the MS-IBALO method
proposed by this paper is efficient compared to MS and MS-BALO methods.
License Plate Character Segmentation Algorithm Based on Improved Regression Model
Authors: Yang Yuping 
Published: March 2020

Abstract
Many character segmentation algorithms in license plate recognition system are not very good for segmentation of complex characters, and there is a phenomenon of character sticking, which results in slow recognition speed and not very good recognition effect of the license plate with complex characters. For such problems, a segmentation algorithm based on the improved regression model on statistical characteristics is presented. Compared with other algorithms, experimental results show that less time is consumed and segmentation effect is better. The recognition rate of license plate can be improved effectively.
A note of a predator-prey model with additive allee effect and feedback controls
Authors: Ren Huailan 
Published: March 2020

Abstract
This study focuses on the investigation of a predator-prey model with additive allee effect and feedback controls. First, we get sufficient conditions of system persistence. Second, the conditions for the existence of the systems global attractivity areestablished by constructing suitable Lyapunov functions. Additionally, by applying the fixed point theory and some new analysis and calculation methods, we obtain the existence and uniqueness of the positive periodic solution of the system. Eventually, we validate the theoretical results by numerical simulations.
Research on Technology of Finger Vein Pattern Recognition Based on FPGA
Authors: Yong Yan 
Published: March 2020

Abstract
Finger vein patterns recognition as a new type of biometric recognition technology, the existing pattern of the finger vein recognition has registered and verified the disadvantage of slow speed. Therefore, in this paper, a finger vein feature extraction and matching recognition algorithm suitable for FPGA is proposed, and the hardware system of finger vein recognition is designed and implemented, including three modules: finger vein image acquisition device, image processing module and matching display module. Finally, the key algorithm is simulated and analyzed. It speeds up the registration and recognition of mobile phone veins.