bluuebunny/crossref_metadata_2025_split huggingface dataset:
SYNPLA, a method to identify synapses displaying plasticity after learning
Authors: Dore Kim , Pao Yvonne , Soria Lopez Jose , Aronson Sage , Zhan Huiqing , Ghosh Sanchari , Merrill Sabina , Zador Anthony M. , Malinow Roberto , Kebschull Justus M. 
Published: January 2020

Significance
When an animal forms a memory, synapses in specific brain pathways change their strength. Pinpointing which synapses and pathways are modulated in any given learning paradigm, however, is technically challenging and needs to be performed one candidate connection at a time. Here we present SYNPLA, a tool to quickly detect strengthened synapses in genetically or anatomically defined pathways across the brain. To do so, we exploit the temporary translocation of AMPA receptor GluA1 into newly strengthened synapses. Using an assay that can identify proteins less than 40 nm away, we label only synapses that contain both GluA1 and a presynaptic protein exogenously expressed in a specific pathway. SYNPLA thus provides a pathway- and synapse-specific screening tool for memory formation.
Closeness, trust, and perceived social support in child-robot relationship formation
Authors: Straten Caroline L. van , Kühne Rinaldo , Peter Jochen , de Jong Chiara , Barco Alex 
Published: January 2020

Abstract
Social robots and their interactions with children are becoming increasingly sophisticated, with the emergence of child-robot relationships as a likely result. However, adequate measurement instruments
that tap into concepts associated with child-robot relationship formation are scarce. We aimed to develop three measures that can
be used to assess children’s closeness to, trust in, and perceived social support from, a social robot. We established the
validity and reliability of these measures among 87 Dutch children aged 7 to 11 years old. Because of their shortness, the
measures can efficiently be applied by scholars aiming to gain insight into the general process of child-robot relationship
formation and its specific sub-processes, that is, the emergence of closeness, trust, and perceived social support.
Integrative Social Robotics Hands-on
Authors: Fischer Kerstin , Seibt Johanna , Rodogno Raffaele , Rasmussen Maike Kirkegård , Weiss Astrid , Bodenhagen Leon , Juel William Kristian , Krüger Norbert 
Published: January 2020

Abstract
In this paper, we discuss the development of robot use cases in an elderly care facility in the context of
exploring the method of Integrative Social Robotics (ISR) when used on top of a user-centered design approach.
Integrative Social Robotics is a new proposal for how to generate responsible, i.e. culturally and ethically sustainable, social
robotics applications. Starting point for the discussion are the five principles that characterize an ISR approach, which are
discussed in application to the three use cases for robot support in a Danish elderly care facility developed within the
smooth project. The discussion by an interdisciplinary design team explores what attention to the five principles of
ISR can offer for use case development. We report on the consequences of this short-time exposure to the basic ideas of ISR for
use case development and discuss the value of approaching robot development from an ISR perspective.
No evidence for enhanced likeability and social motivation towards robots after synchrony experience
Authors: Henschel Anna , Cross Emily S. 
Published: January 2020

Abstract
A wealth of social psychology studies suggests that moving in synchrony with another person can positively
influence their likeability and prosocial behavior towards them. Recently, human-robot interaction (HRI) researchers have started
to develop real-time, adaptive synchronous movement algorithms for social robots. However, little is known how socially beneficial
synchronous movements with a robot actually are. We predicted that moving in synchrony with a robot would improve its likeability
and participants’ social motivation towards the robot, as measured by the number of questions asked during a free interaction
period. Using a between-subjects design, we implemented the synchrony manipulation via a drawing task. Contrary to predictions, we
found no evidence that participants who moved in synchrony with the robot rated it as more likeable or asked it more questions. By
including validated behavioral and neural measures, future studies can generate a better and more objective estimation of
synchrony’s effects on rapport with social robots.
Characterization of a precision modular sinewave generator
Authors: Kučera J , Kováč J , Palafox L , Behr R , Vojáčková L 
Published: January 2020

Abstract
At the Czech Metrology Institute (CMI) we have developed a precision modular sinewave generator for impedance ratio bridges. The generator was developed to improve previously available designs regarding amplitude and phase accuracy, linearity, absolute stability, stability of the ratio between two outputs and harmonic distortion. It generates up to 7 Vrms in a frequency range from 1 mHz up to 20 kHz, extendable to 100 kHz with small changes to the filters. The amplitude resolution is better than 0.01 μV V−1 of full scale with an output voltage stability of 0.05 μV V−1/30 min and a stability for the ratio between two outputs of 0.02 × 10−6 over several hours. The generator can be powered from internal batteries and is controlled via optically isolated connections. The internal clock and voltage references can be replaced by external ones, optically coupled in the case of the clock. In this paper, we discuss experimental results obtained with the generator used as a signal source in digital impedance bridges with relative combined uncertainties from 10–5 down to 10–8. The generators have been used in a bridge to drive a quantum Hall resistor in the AC regime. The use of a generator with an AC quantum voltmeter will also be discussed. The generator is not only applicable in the field of AC impedance metrology but also for on-site comparisons of AC quantum voltage standards or, in general, where there is a need for precision voltage sources.
In situ steel solidification imaging in continuous casting using magnetic induction tomography
Authors: Soleimani Manuchehr , Li Fang , Spagnul Stefano , Palacios Juan , Barbero José I , Gutiérrez Teresa , Viotto Alberto 
Published: January 2020

Abstract
The solidification process in continuous casting is a critical part of steel production. The speed and quality of the solidification process determines the quality of the final product. Computational fluid dynamics (CFD) simulations are often used to describe the process and to design its control system but, so far, there has been no tool that provides an online measurement of the solidification front of hot steel during the continuous casting process. This paper presents a novel magnetic induction tomography (MIT) solution, developed in the EU-funded SHELL-THICK project, to work in a real casting setting and to provide a real-time and reliable measurement of the shell thickness in a cross section of the strand. The new MIT system was installed at the end of the secondary cooling chamber of a casting unit and tested over several days in a real production process. MIT is able to create an internal map of the electrical conductivity of hot steel deep inside the billet. The image of electrical conductivity is then converted to a temperature profile that allows the measurement of the solid, mushy and liquid layers. In this study, such a conversion is done by synchronizing in one time step the MIT measurement and the thermal map generated with the actual process parameters available at that time. The MIT results were then compared with the results obtained with the CFD and thermal modelling of the industrial process. This is the first time in situ monitoring of the interior structure has been carried out during a real continuous casting.
Suggested quasi-Cassegrain system for multi-beam observation of FAST
Authors: Su Ding-Qiang , Bai Hua , Cui Xiang-Qun 
Published: January 2020

Abstract
FAST, the largest single-dish radio telescope in the world, has a 500-meter diametermain reflector and a 300-meter diameter illuminated area. It has amain reflector that can vary its shape, which continuously changes the shape of the illuminated area in reflector into a paraboloid. In this article, we propose a quasi- Cassegrain system for FAST. The detailed design results are provided. Such a quasi-Cassegrain system only needs to add a 14.6-meter diameter secondary reflector, which is close to the size of the feed cabin. The distance from the secondary reflector to the focus is only 5.08m, and it has excellent image quality. In this quasi-Cassegrain system, the shape of the illuminated area in the main reflector continuously changes into an optimized hyperboloid. Using this quasi-Cassegrain system from frequency 0.5GHz to 8GHz, the multi-beam system can include 7 to 217 feeds. If this system is used in combination with Phased Array Feed (PAF) technology, more multi-beam feeds or a higher working frequency can be used.
Contour detection in Cassini ISS images based on Hierarchical Extreme Learning Machine and Dense Conditional Random Field
Authors: Yang Xi-Qi , Zhang Qing-Feng , Li Zhan 
Published: January 2020

AbstractIn Cassini ISS (Imaging Science Subsystem) images, contour detection is often performed on disk-resolved objects to accurately locate their center. Thus, contour detection is a key problem. Traditional edge detection methods, such as Canny and Roberts, often extract the contour with too much interior details and noise. Although the deep convolutional neural network has been applied successfully in many image tasks, such as classification and object detection, it needs more time and computer resources. In this paper, a contour detection algorithm based on H-ELM (Hierarchical Extreme Learning Machine) and DenseCRF (Dense Conditional Random Field) is proposed for Cassini ISS images. The experimental results show that this algorithm’s performance is better than both traditional machine learning methods, such as Support Vector Machine, Extreme Learning Machine and even deep Convolutional Neural Network. The extracted contour is closer to the actual contour. Moreover, it can be trained and tested quickly on the general configuration of PC, and thus can be applied to contour detection for Cassini ISS images.
Development of image motion compensation system for 1.3m telescope at Vainu Bappu Observatory
Authors: Vallapureddy Sreekanth Reddy , Banyal Ravinder Kumar , Rengaswamy Sridharan , Umesh Kamath P , Selvaraj Aishwarya 
Published: January 2020

Abstract
We developed a tip-tilt system to compensate the turbulence induced image motion for the 1.3 m telescope at Vainu Bappu Observatory, at Kavalur. The instrument is designed to operate at the visible wavelength band (480 − 700 nm) with a field of view of 1′ × 1′. The tilt corrected images have demonstrated up to ≈ 57% improvement in image resolution and a corresponding peak intensity increase by a factor of ≈ 2.8. A closed-loop correction bandwidth of ≈ 26 Hz has been achieved with on-sky tests and the root mean square motion of the star image has been reduced by a factor of ∼ 14. These results are consistent with theoretical and numerical predictions of wave-front aberrations caused by atmospheric turbulence and image quality improvement expected from a real-time control system. In this paper, we present details of the instrument design, laboratory calibration studies and quantify its performance on the telescope.
The mini-GWAC optical follow-up of gravitational wave alerts – results from the O2 campaign and prospects for the upcoming O3 run
Authors: Turpin Damien , Wu Chao , Han Xu-Hui , Xin Li-Ping , Antier Sarah , Leroy Nicolas , Cao Li , Cai Hong-Bo , Cordier Bertrand , Deng Jin-Song , Dong Wen-Long , Feng Qi-Chen , Huang Lei , Jia Lei , Klotz Alain , Lachaud Cyril , Li Hua-Li , Liang En-Wei , Liu Shun-Fang , Lu Xiao-Meng , Meng Xian-Min , Qiu Yu-Lei , Wang Hui-Juan , Wang Jing , Wang Shen , Wang Xiang-Gao , Wei Jian-Yan , Wu Bo-Bing , Xiao Yu-Jie , Xu Da-Wei , Xu Yang , Yang Yuan-Gui , Zhang Pin-Pin , Zhang Ruo-Song , Zhang Shuang-Nan , Zheng Ya-Tong , Zou Si-Cheng 
Published: January 2020

Abstract
The second (O2) observational campaign of gravitational waves (GWs) organized by the LIGO/Virgo Collaborations has led to several breakthroughs such as the detection of GW signals from merger systems involving black holes or neutrons stars. During O2, 14 GW alerts were sent to the astronomical community with sky regions mostly covering over hundreds of square degrees. Among them, six were finally confirmed as real astrophysical events. Since 2013, a new set of ground-based robotic telescopes called Ground-based Wide Angle Camera system (GWAC) project and its pathfinder mini-GWAC has been developed to contribute to the various challenges of multi-messenger and time domain astronomy. The GWAC system is built up in the framework of the ground-segment system of the SVOM mission that will be devoted to the study of the multi-wavelength transient sky in the next decade. During O2, only the mini-GWAC telescope network was fully operational. Due to the wide field of view and fast automatic follow-up capabilities of the mini-GWAC telescopes, they were adept to efficiently cover the sky localization areas of GW event candidates. In this paper, we present the mini-GWAC pipeline we have set up to respond to GW alerts and we report our optical follow-up observations of eight GW alerts detected during the O2 run. Our observations provided the largest coverage of the GW localization areas with a short latency made by any optical facility. We found tens of optical transient candidates in our images, but none of those could be securely associated with any confirmed black hole – black hole merger event. Based on this first experience and the near future technical improvements of our network system, we will be more competitive in detecting the optical counterparts from some GW events that will be identified during the upcoming O3 run, especially those emerging from binary neutron star mergers.
Theoretical approach to study the formation of C2H4O2 isomers in interstellar medium through reaction between interstellar formaldehyde molecules*
Authors: Ahmad Aftab , Shivani  , Misra Alka , Tandon Poonam 
Published: January 2020

Abstract
The three isomers of C2H4O2, viz., glycolaldehyde (HCOCH2OH), acetic acid (CH3COOH) and methyl formate (HCOOCH3), have been detected in copious amounts in the interstellar medium (ISM). The possibility for formation of these molecules through interstellar formaldehyde (HCHO) has been explored by using the quantum chemical approach described by density functional theory (DFT) and second order Moller-Plesset perturbation (MP2) theory with a 6–311G(d,p) basis set in the gas phase as well as in icy grains. The associated molecule-molecule interactions have been discussed to study the formation of isomers of C2H4O2 in ISM. The reactions of two formaldehyde molecules exhibit a considerable potential barrier but due to quantum tunneling, these reactions could be possible in ISM. The chemical pathway is exothermic, which gives rise to a high probability for the formation of all three isomers, viz. glycolaldehyde, methyl formate and acetic acid, in interstellar space. Anharmonic rotational vibration, centrifugal distortion constants and coupling constants are also calculated and results suggest that the vibrations are harmonic in nature.
Search for strong galaxy-galaxy lensing in SDSS-III BOSS
Authors: Cheng Xin-Lun 
Published: January 2020

Abstract
Strong lensing is one of the most spectacular views in the universe. Many cosmological applications have been proposed, but the number of such lensing systems is still limited. In this work, we applied an improved version of a previously developed spectroscopic lensing search method to the SDSS-III BOSS and proposed a list of highly possible candidates. Follow-up CFHT Megacam imaging observations were performed for five systems, and two out of five are probably strong lensing systems with at least one image close to the central galaxy, although no counter images are detected.
Prediction verification of solar cycles 18–24 and a preliminary prediction of the maximum amplitude of solar cycle 25 based on the Precursor Method
Authors: Miao Juan , Wang Xin , Ren Ting-Ling , Li Zhi-Tao 
Published: January 2020

Abstract
Predictions of the strength of solar cycles are important and are necessary for planning long-term missions. A new solar cycle 25 is coming soon, and the amplitude is needed for space weather operators. Some predictions have been made using differentmethods and the values are drastically different. However, since 2015 July 1, the original sunspot number data have been entirely replaced by the Version 2.0 data series, and the sunspot number values have changed greatly. In this paper, using Version 2 smoothed sunspot numbers and aa indices, we verify the predictions for cycles 18–24 based on Ohl’s PrecursorMethod. Then a similar-cycles method is used to evaluate the aa minimum of 9.7 (±1.1) near the start of cycle 25 and based on the linear regression relationship between sunspot maxima and aa minima, our predicted Version 2 maximum sunspot number for cycle 25 is 121.5 (±32.9).
Spatial distributions of sunspot oscillation modes at different temperatures
Authors: Wang Zheng-Kai , Feng Song , Deng Lin-Hua , Meng Yao 
Published: January 2020

Abstract
Three- and five-minute sunspot oscillations have different spatial distributions in the solar atmospheric layers. The spatial distributions are crucial for revealing the physical origin of sunspot oscillations and to investigate their propagation. In this study, six sunspots observed by Solar Dynamics Observatory/Atmospheric Imaging Assembly were used to obtain the spatial distributions of three- and five-minute oscillations. The fast Fourier transform method is applied to represent the power spectra of oscillation modes. We find that, from the temperature minimum to the lower corona, the powers of the five-minute oscillation exhibit a circle-shape distribution around its umbra, and the shapes gradually expand with temperature increase. However, the circle-shape disappears and the powers of the oscillations appear to be very disordered in the higher corona. This indicates that the five-minute oscillation can be suppressed in the high-temperature region. For the three-minute oscillations, from the temperature minimum to the high corona, their powers mostly distribute within an umbra, and part of them are located at the coronal fan loop structures. Moreover, those relative higher powers are mostly concentrated in the position of coronal loop footpoints.
Real-time abnormal light curve detection based on a Gated Recurrent Unit network
Authors: Yan Rui-Qing , Liu Wei , Zhu Meng , Wang Yi-Jing , Dai Cong , Cao Shuo , Wu Kang , Liang Yu-Chen , Yu Xian-Chuan , Zhang Meng-Fei 
Published: January 2020

Abstract
Targeting the problem of high real-time requirements in astronomical data processing, this paper proposes a real-time early warning model for light curves based on a Gated Recurrent Unit (GRU) network. Using the memory function of the GRU network, a prediction model of the light curve is established, and the model is trained using the collected light curve data, so that the model can predict a star magnitude value for the next moment based on historical star magnitude data. In this paper,we calculate the difference between the model prediction value and the actual observation value and set a threshold. If the difference exceeds the set threshold, the observation value at the next moment is considered to be an abnormal value, and a warning is given. Astronomers can carry out further certification based on the early warning and in combinationwith other means of observation. Themethod proposed in this paper can be applied to real-time observations in time domain astronomy.
The subsurface structure and stratigraphy of the Chang’E-4 landing site: orbital evidence from small craters on the Von Kármán crater floor
Authors: Fu Xiao-Hui , Qiao Le , Zhang Jiang , Ling Zong-Cheng , Li Bo 
Published: January 2020

Abstract
Chang’E-4 (CE-4) successfully landed on the floor of the Von Kármán crater within the South Pole-Aitken basin (SPA). One of its scientific objectives is to determine the subsurface structure and the thickness of lunar regolith at the landing site and along the traverse route of the Yutu-2 rover. Using orbital data, we employed small craters (diameters <1 km) on the floor of the Von Kármán crater as probes to investigate the subsurface structure and stratigraphy of the CE-4 landing site. In this study, 40 dark-haloed craters that penetrate through the surface Finsen ejecta and excavate underlying mare deposits were identified, and 77 bright ray craters that expose only the underlying fresh materials but do not penetrate through the surface Finsen ejecta were found. The excavation depths of these craters and their distances from the Finsen crater center were calculated, and the thickness distribution of Finsen ejecta on the Von Kármán floor was systematically investigated. The boundary between Finsen ejecta and underlying mare basalt at the CE-4 landing site is constrained to a depth of 18m.We have proposed the stratigraphy for the CE-4 site and interpreted the origins of different layers and the geological history of the Von Kármán crater. These results provide valuable geological background for interpreting data from the Lunar Penetrating Radar (LPR) and Visible and Near-infrared Imaging Spectrometer (VNIS) on the Yutu-2 rover. The CE-4 landing site could provide a reference point for crater ejecta distribution and mixing with local materials, to test and improve ejecta thickness models according to the in situ measurements of the CE-4 LPR.
Unlikely alliances and their implications for resource management in the American West
Authors: Hillis Vicken , Berry Kate A , Swette Briana , Aslan Clare , Barry Sheila , Porensky Lauren M 
Published: January 2020

Abstract
Collaborative, or participatory governance is an increasingly common means of addressing natural resource issues, especially in the American West where patchworks of public, private, and tribal interests characterize the region’s resources. In this context, unlikely alliances, or partnerships among diverse actors who have historically been at odds, have a growing potential to shape social and ecological outcomes, for better or worse. While these unlikely alliances have received greater attention in recent years, relatively little research has worked to synthesize the concept across diverse contexts and disciplines. Based on a review of the literature on unlikely alliances in natural resource governance, we develop a framework that synthesizes the individual motivations and contextual factors that influence their formation, as well as the social and ecological outcomes that they create. We use this framework to analyze six illustrative cases of unlikely alliances. Our analysis of these cases suggests that unlikely alliances in the American West are likely to arise in the presence of a crisis, when appropriate leadership is present, when some of the actors have interacted effectively in the past, and when actors need to pool resources. The cases also illustrate some common outcomes, including environmental improvement, transformation of social networks, policy change, and shifts in power relationships. We discuss the implications of unlikely alliances for the social-ecological future of the American West. Our paper highlights the role of unlikely alliances in shaping patterns of natural resource governance, and provides a focus for further research in this realm.