bluuebunny/crossref_metadata_2025_split huggingface dataset:
Complete encapsulation of sulfur through interfacial energy control of sulfur solutions for high-performance Li−S batteries
Authors: Gueon Donghee , Ju Min-Young , Moon Jun Hyuk 
Published: May 2020

Significance
Complete encapsulation of high-content sulfur into porous carbon or carbon composites is crucial for high-performance Li−S cells. However, the low-to-moderate compatibility of sulfur-dissolved solution with carbon causes difficulty in completely loading sulfur into the porous host. We control the interfacial energy of the sulfur solution by adding a solvent with high compatibility with the carbon surface. The use of NMP improves the infiltration of sulfur solution effectively, resulting in complete sulfur encapsulation. We observe that the control of sulfur loading greatly affects Li−S battery performance. We identify significantly superior cell performance in the complete encapsulation. Our method can also be applied to effectively load active materials for next-generation energy storage devices.
Cognitive science and the controversy of anthropogenic climate change
Authors: Hohenberger Annette 
Published: May 2020

Abstract
This paper takes a cognitive science perspective on the controversy of anthropogenic climate change (ACC) between deniers and advocates. It argues that cognitive science is a suitable framework due to its interdisciplinarity, experience with controversies, and appeal to meta-principles of cognition. From a Bayesian perspective, deniers seem to reason irrationally (belief polarization) and from an epistemic virtue ethics perspective act viciously. Yet, their behavior can be modelled as rational when taking the factor “worldview” into account and become virtuous in terms of “mandevillian intelligence” at the collective level. Insofar as deniers’ conservatism aims at stability but advocates’ liberalism at change, they jointly resolve the “stability-plasticity dilemma”. A number of outstanding questions are addressed at the end of the paper.
Human evolution
Authors: Abrantes Paulo C. 
Published: May 2020

Abstract
This paper presents a range of approaches going from the complete rejection of any role culture could have played in human evolution, to the other extreme in the range in which the very dichotomy between nature and culture is rejected. We will also go through middle-range standpoints, such as that of gene-culture coevolution theorists, that attach to culture a central role in human evolution. The clash between these approaches is still going on in the contemporary scene, with implications for the way boundaries are set inside disciplines such as Anthropology, as well as for conceiving how it is related to Psychology and Biology, among other disciplines. We will show that some debates in the Philosophy of Biology, concerning an extension of the neo-Darwinian theory of evolution, have contributed to clarify the issues, and have been followed by some anthropologists who are also concerned by the way human development and evolution are separately addressed in orthodox approaches.
A historical controversy about politeness and public argument
Authors: Saltamacchia Francesca , Rocci Andrea 
Published: May 2020

Abstract
This article presents the Nineteenth-Century dispute arising from the criticism that the Italian philosopher Antonio Rosmini expressed against the arguments that the statesman Melchiorre Gioja supported in defense of fashion in his Apologia della moda ‘Apology of Fashion’ (1822) and against the utilitarian ideology that permeates the text. Gioja’s aggressive answer (in 1827) leads Rosmini to write a treatise on polite manners writers must have in public debate, thus offering an interesting ethical treatise. We aim to analyze the controversy adopting an interdisciplinary approach that investigates metapragmatic evaluative comments from the point of view of argumentation in order to reconstruct the argumentative justification behind each evaluation of (im)politeness and to show the principles defended by the disputants.
Controversial images
Authors: Neri Veronica 
Published: May 2020

Abstract
Communicating with controversial images may be a device to draw attention to issues that are key to the interest of people and society alike. A device that can raise public awareness, or, instead, anaesthetise it may lead to make responsible or irresponsible choices. It is this ability of images that will be emphasised by communicative events involving controversial images, astride three media revolutions ad imaginem: printing, photography and digital technology. Lastly, emphasis will be placed on the importance of communication ethics in the choice of a “good” controversial image, one that may enable viewers to see it, ‘listen to it’ and understand it and, thus, to act morally.
The role and the impact of interdisciplinarity on the relational models of intervention in the doctor-patient communication
Authors: Greco Roberto 
Published: May 2020

Abstract
This paper aims to evaluate the role and the impact of Interdisciplinarity on the relational models of intervention in the doctor-patient communication. Working Alliance may be one of the main models for the improvement of the relationship between the dyad, analysing the degree of the patient involvement in treatment and his alignment to the purposes of therapy itself. However, to tap into this construct, the performed kind of operation is similar to a specific form of Interdisciplinarity, Theoretical Interdisciplinarity. Theoretical ID begins from an exploration based on the practice, which respects an otherness not only physical (the doctor-patient relationship), but above all, conceptual (the doctor-patient system).
Teachers’ attitudes about gesture for learning and instruction
Authors: Nathan Mitchell J. , Yeo Amelia , Boncoddo Rebecca , Hostetter Autumn B. , Alibali Martha W. 
Published: May 2020

Abstract
We developed and tested a survey instrument to measure teachers’ attitudes about gesture in learning and instruction (TAGLI). Teachers (N = 192) generally believed that instructional gestures are beneficial for learning, and not distracting for students. Teachers had positive expectations, both for gestures that are redundant with (i.e., match) the accompanying speech, and gestures that are complementary to (i.e., mismatch) speech. However, teachers’ attitudes varied with teachers’ grade bands (middle v. high school) and curricular content areas (STEM v. non-STEM). Teachers endorsed a range of reasons for gesture’s pedagogical effectiveness. These reasons largely mirror the reasons teachers reported for why they produced gestures: gestures help make connections between representations and ideas, make abstract concepts more concrete, and they appropriately direct learners’ attention. Teachers reported that they frequently use gestures while teaching, explaining, and in everyday conversation.
Plurality and definiteness in Chengdu Chinese
Authors: Xiong Jiajuan , Huang Chu-Ren 
Published: May 2020

AbstractThe authors identify a plural marker -ɕiɛin Chengdu Chinese that can apply to both count and mass nouns, encoding plurality as well as definiteness. This post-nominal -ɕiɛdiffers from the pre-nominalɕiɛ, as the latter is purely plural but not inherently definite. Our analysis shows that the pre-nominalɕiɛfunctions as a quantifier, which occupies the [Spec, NumP] position, whereas the suffixal -ɕiɛ, by virtue of being a plural marker, is base-generated in the Num0position and move to D0to encode both plurality and definiteness. Moreover, the twoɕiɛs can co-occur in one and the same nominal phrase, exhibiting thedouble definiteness effect. The syntactic analysis ofɕiɛin Chengdu Chinese, coupled with the study ofdiin Cantonese, has theoretical impacts on nominal phrase structures, in particular, on “plurality” and “definiteness”. First, plural markers in classifier languages contrast with those in number languages, as the former, but not the latter, defies numerical modification. Second, definiteness can be expressed by a non-D element, which may check its [+def] feature either by undergoing an upward movement to D (or [Spec, DP]) or by agreeing with the [+def] feature of a demonstrative. Third, the DP-NP distinction is strongly supported by our account of Chengdu Chinese.
Measurement of layer thicknesses with an improved optimization method for depolarizing Mueller matrices
Authors: Grunewald Tobias , Wurm Matthias , Teichert Sven , Bodermann Bernd , Reck Johanna , Richter Uwe 
Published: May 2020

Abstract
There are some commonly-used optimization techniques for the analysis of measured data in spectroscopic Mueller matrix ellipsometry (MME) used, for example, to calculate the layer thicknesses of samples under test. Concentrating on the metrological aspects of MME, we identified a non-optimal treatment of depolarization in all these techniques. We therefore recently developed an improved optimization method to adequately take depolarization in MME into account. In a further step, we also included statistical measurement noise and derived a likelihood function, which enabled us to apply both the maximum likelihood method and Bayesian statistics as well as the Bayesian information criterion for data evaluation. In this paper we concentrate on the application of this new method to measurements of SiO2-layer thicknesses on silicon. With a state-of-the-art SENTECH SENresearch 4.0 Mueller ellipsometer, we measured standard samples of different SiO2-layer thicknesses, whose calibrated thicknesses were between about 6 nm and 1000 nm. The MME results were compared to the calibration data. For all samples, an SiO2-SiO double-layer model turned out to be optimal. The measured total oxide layer thicknesses matched excellently with the calibration values, within the estimated range of uncertainties. All the results are presented here. This is the first comparison with traceable reference measurements demonstrating the validity of our novel MME analysis method.
Novel, clinically applicable method to measure step-width during the swing phase of gait
Authors: Bäcklund Tomas , Öhberg Fredrik , Johansson Gudrun , Grip Helena , Sundström Nina 
Published: May 2020

Abstract

Objective: Step-width during walking is an indicator of stability and balance in patients with neurological disorders, and development of objective tools to measure this clinically would be a great advantage. The aim of this study was to validate an in-house-developed gait analysis system (Striton), based on optical and inertial sensors and a novel method for stride detection, for measuring step-width during the swing phase of gait and temporal parameters. Approach: The step-width and stride-time measurements were validated in an experimental setup, against a 3D motion capture system and on an instrumented walkway. Further, test-retest and day-to-day variability were evaluated, and gait parameters were collected from 87 elderly persons (EP) and four individuals with idiopathic normal pressure hydrocephalus (iNPH) before/after surgery. Main results: Accuracy of the step-width measurement was high: in the experimental setup mean error was 0.08 ± 0.25 cm (R = 1.00) and against the 3D motion capture system 0.04 ± 1.12 cm (R = 0.98). Test-retest and day-to-day measurements were equal within ±0.5 cm. Mean difference in stride time was −0.003 ± 0.008 s between Striton and the instrumented walkway. The Striton system was successfully applied in the clinical setting on individuals with iNPH, which had larger step-width (6.88 cm, n = 4) compared to EP (5.22 cm, n = 87). Significance: We conclude that Striton is a valid, reliable and wearable system for quantitative assessment of step-width and temporal parameters during gait. Initial measurements indicate that the newly defined step-width parameter differs between EP and patients with iNPH and before/after surgery. Thus, there is potential for clinical applicability in patients with reduced gait stability.
Classical analogies for the force acting on an impurity in a Bose–Einstein condensate
Authors: Rønning Jonas , Skaugen Audun , Hernández-García Emilio , Lopez Cristobal , Angheluta Luiza 
Published: May 2020

Abstract
We study the hydrodynamic forces acting on a small impurity moving in a two-dimensional Bose–Einstein condensate at non-zero temperature. The condensate is modelled by the damped-Gross Pitaevskii (dGPE) equation and the impurity by a Gaussian repulsive potential coupled to the condensate. For weak coupling, we obtain analytical expressions for the forces acting on the impurity, and compare them with those computed through direct numerical simulations of the dGPE and with the corresponding expressions for classical forces. For non-steady flows, there is a time-dependent force dominated by inertial effects and which has a correspondence in the Maxey–Riley theory for particles in classical fluids. In the steady-state regime, the force is dominated by a self-induced drag. Unlike at zero temperature, where the drag force vanishes below a critical velocity, at low temperatures the impurity experiences a net drag even at small velocities, as a consequence of the energy dissipation through interactions of the condensate with the thermal cloud. This dissipative force due to thermal drag is similar to the classical Stokes’ drag. There is still a critical velocity above which steady-state drag is dominated by acoustic excitations and behaves non-monotonically with impurity’s speed.
Tubular/helical architecture construction based on rolled-up AlN nanomembranes and resonance as optical microcavity
Authors: Yang Jinyu , Wang Yang , Wang Lu , Tian Ziao , Di Zengfeng , Mei Yongfeng 
Published: May 2020

Abstract
Aluminum nitride (AlN) has attracted a great amount of interest due to the fact that these group III–V semiconductors present direct band gap behavior and are compatible with current micro-electro-mechanical systems. In this work, three dimensional (3D) AlN architectures including tubes and helices were constructed by rolling up AlN nanomembranes grown on a silicon-on-insulator wafer via magnetron sputtering. The properties of the AlN membrane were characterized through transmission electron microscopy and X-ray diffraction. The thickness of AlN nanomembranes could be tuned via the RIE thinning method, and thus micro-tubes with different diameters were fabricated. The intrinsic strain in AlN membranes was investigated via micro-Raman spectroscopy, which agrees well with theory prediction. Whispering gallery mode was observed in AlN tubular optical microcavity in photoluminescence spectrum. A postprocess involving atomic layer deposition and R6G immersion were employed on as-fabricated AlN tubes to promote the Q-factor. The AlN tubular micro-resonators could offer a novel design route for Si-based integrated light sources. In addition, the rolled-up technology paves a new way for AlN 3D structure fabrication, which is promising for AlN application in MEMS and photonics fields.
An Efficient Hybrid Compact-WENO Scheme for Computational Aerodynamics
Authors: Luo Xin , Wu Songping 
Published: May 2020

Abstract
The hybrid compact-WENO scheme is an effective method to construct a high-resolution shock-capturing scheme for computational aerodynamics. Ren et al. (J. Comput. Phys. 192:365-386, 2003) presented a characteristic-wise hybrid compact-WENO scheme, which combines the high-resolution property of the compact scheme with the shock-capture ability of the WENO scheme. However, it needs to deal with the block-tridiagonal system of linear equations when applied to solve systems of hyperbolic conservation laws (such as Euler equations). Therefore, the scheme is computationally expensive, which limits its application in engineering practice. In this paper, we present a new hybrid compact-WENO scheme. This new scheme also uses the characteristic-wise method. However, it avoids solving the block-tridiagonal system of linear equations by cleverly utilizing the monotone-preserving limiter and the higher dissipative Lax-Friedrich flux splitting. As a result, the scheme has a much higher efficiency than Ren’s scheme. A series of numerical experiments verify the high-resolution property, excellent shock-capture ability, and high efficiency of the presented scheme. Therefore, it is suitable for engineering applications.
Memory-Based Reinforcement Learning for Trans-Domain Tiltrotor Robot Control
Authors: Huo Yujia , Li Yiping , Feng Xisheng 
Published: May 2020

Abstract
Aiming at the problems of motion control with high precision for a new type of air-water trans-domain tiltrotors, a deep reinforcement learning controller is applied to these conditions. Reinforcement learning algorithm with memory capability allows the robot to learn from dynamic information collected in the past. In this paper, the trans-domain tiltrotors are supposed operating as a quad-rotors with fixed-wing in the air. Moreover, simulation is based on ROS and Gazebo platform for training the reinforcement learning repeatedly and the results demonstrate this algorithm gets better accuracy and effectiveness compared with other non-current methods in the conditions of the tiltrotors control task.
Finite Element Simulation of Ball Joint under Hot Forging Process
Authors: Jantepa N. , Suranuntchai S. 
Published: May 2020

Abstract
Nowadays, the finite element method (FEM) has been widely used to forecast the metal forming process and finding the parameter optimized. This work studied the use of FEM as a tool to design and process optimize a hot forging die for producing an automotive part named Ball Joint that part was made from carbon steel grade S45C. The objective of the study was to increase the efficiency of production and extend the life cycle of the machine by using load not exceeding the machine capability. To achieve this objective, the new parameters must produce workpieces without any defects. The defects regularly found in the forging workpieces are the thickness out of specification, the underfilling, and the crack. The parameter of the rougher and finisher process to studies and optimized that cover is the die gap and forming load. The die gap of 4, 3 and 2 millimeters and the forming load not exceeding 85% of machine capability were used in the hot forging simulation. From FEM simulation results, it was found that the die gap of 3 millimeters of the rougher and finisher process was the best to form workpieces without any defects, workpieces thickness within specification and the forming load not exceeding of 85%. In summary, the simulation and experimental results were compatible.
Structural Modelling and Optimization of the Double-Ducted Fan UAV
Authors: Yongjie Zhang , Hao Dong , Xinzhe Chang , Yafeng Wang , Xiaochuan Liu 
Published: May 2020

Abstract
This paper aims to model and optimize the structure of a double-ducted fan UAV (unmanned aerial vehicle). The structural model of the UAV is established based on main technical requirements. Aluminum alloy is selected in UAV structure. The static analysis of UAV is performed using finite element method. The section thicknesses of UAV are optimized by a feasible direction method. The optimized structure weight of the UAV is reduced by 18%. This paper provides some useful reference for the structural modelling and optimization of double-ducted fan UAV.
Application of knowledge engineering in spacecraft overall design
Authors: Zhao Hanmo , Sun Zhaowei , Zhang Hongzhu 
Published: May 2020

Abstract
This paper proposes an advanced technology in spacecraft overall design based on knowledge engineering. Knowledge engineering is a branch of artificial intelligence. Applying knowledge engineering technology to improve the efficiency and quality of overall design process and enhance the automation of overall design, moreover focusing on solving overall spacecraft design knowledge representation, knowledge evaluation, knowledge acquisition, knowledge inference and related issues. Unlike the existing methods, this paper uses ontology technology to build a pint-sized spacecraft overall design knowledge base under protégé software environment, which achieves a better performance. Finally, simulations for the designed power subsystem based on the knowledge base are performed, and the simulation results validate the effectiveness, reliability, of the power subsystem designed by the method of spacecraft overall design based on knowledge engineering.
Numerical Simulation on Cold-Flow Impact of the Soft Pulse Separation Device in Dual Pulse Solid Rocket Motor
Authors: Liu Wanli , Chen Xiong , Li Yingkun 
Published: May 2020

Abstract
In this paper, the fluid solid coupling in the cold-flow impact process of the soft pulse separation device of dual pulse solid rocket motor is numerically simulated by using ANSYS Workbench software. This paper mainly analyzes the flow characteristics of the flow field near the interlayer, deformation and stress change of interlayer under the cold-flow impact, and obtain the time of the interlayer failure. Finally, the numerical simulation results are compared with the experimental results of cold-flow impact. Finally, at 8.41 ms, the stress at the prefabricated defect of the interlayer reaches the tensile strength, and the pressure at breaking is 0.745 MPa.
Probabilistic Airport Traffic Demand Prediction Incorporating the Weather Factors
Authors: Tian Wen , Song Jinjin , Guo Yixing , Yang Fan 
Published: May 2020

Abstract
With the development of air transport industry in China, the congestion problem in the terminal areas of busy airports has become increasingly serious. In order to alleviate the increasingly frequent air traffic congestion, it is necessary to accurately and objectively predict traffic flow. Traditionally, most predicted methods are based on the number of aircrafts flight in the terminal area to obtain deterministic traffic flow data, without considering the impact of uncertain factors on the prediction results. Based on the uncertainty of demand, this paper uses a probability density prediction method based on quantile regression neural network and kernel density estimation, to analyse the variation of traffic flow at different quantiles according to the obtained continuous conditional quantile function. Predicting the probability density of traffic flow on a certain day, and then comparing the point prediction value corresponding to the peak value, which consider the weather factor and the conditional probability density prediction curve without considering the weather factor, it is concluded that considering the weather factor can make the traffic flow prediction more accurate.
Feasibility Study of a New Security Verification Process Based on Face Recognition Technology at Airport
Authors: Zhu Taotao , Wang Lijun 
Published: May 2020

Abstract
In order to optimize the mode of manual security identity verification at security checkpoints in the domestic airports in China, this paper proposes a new security identity verification process based on face recognition technology. This paper also presents the carried out practical tests on the feasibility and effectiveness of the proposed process. The new process includes two important steps: self-service centralized verification and automatic face recheck of passengers. The test results show that the process is effective and cost efficient. The technology significantly reduces the rate of human error, dramatically relieves the workload of the security staff and shorten the passenger’s time spending at identity check in the airport.