bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi‐head attention graph convolutional network model: End‐to‐end entity and relation joint extraction based on multi‐head attention graph convolutional network
Authors: Tao Zhihua , Ouyang Chunping , Liu Yongbin , Chung Tonglee , Cao Yixin 
Published: March 2022

AbstractAt present, the entity and relation joint extraction task has attracted more and more scholars' attention in the field of natural language processing (NLP). However, most of their methods rely on NLP tools to construct dependency trees to obtain sentence structure information. The adjacency matrix constructed by the dependency tree can convey syntactic information. Dependency trees obtained through NLP tools are too dependent on the tools and may not be very accurate in contextual semantic description. At the same time, a large amount of irrelevant information will cause redundancy. This paper presents a novel end‐to‐end entity and relation joint extraction based on the multi‐head attention graph convolutional network model (MAGCN), which does not rely on external tools. MAGCN generates an adjacency matrix through a multi‐head attention mechanism to form an attention graph convolutional network model, uses head selection to identify multiple relations, and effectively improve the prediction result of overlapping relations. The authors extensively experiment and prove the method's effectiveness on three public datasets: NYT, WebNLG, and CoNLL04. The results show that the authors’ method outperforms the state‐of‐the‐art research results for the task of entities and relation extraction.
A weighted multi‐source domain adaptation approach for surface defect detection
Authors: Hu Bing , Wang Jianhui 
Published: March 2022

AbstractThis paper proposes a weighted multi‐source domain adaptation (MSDA) method for industrial surface defect detection. The domain adaptation method is usually used to solve inaccurate results due to lacking target training samples. But in the scene of surface defects detection, this method is not adequate because the inspection samples often contain complex texture features. To get better performance, in this paper, we extend the single‐source domain adaptation detection method to the multi‐source domain. At the same time, we weighted different source domains samples during the adaptive training process, and prioritize the alignment of the target domain with the most similar source domain. The experimental results show that our proposed method performs well on the target dataset which improves existing methods' limitations for detecting surface defects with complex textures.
Tomography-based observational measurements of the halo mass function via the submillimeter magnification bias
Authors: Cueli M. M. , Bonavera L. , González-Nuevo J. , Crespo D. , Casas J. M. , Lapi A. 
Published: March 2022

Aims. The main goal of this paper is to derive observational constraints on the halo mass fuction (HMF) by performing a tomographic analysis of the magnification bias signal on a sample of background submillimeter galaxies. The results can then be compared with those from a non-tomographic study.
Methods. We measure the cross-correlation function between a sample of foreground GAMA galaxies with spectroscopic redshifts in the range 0.1 < z < 0.8 (and divided up into four bins) and a sample of background submillimeter galaxies from H-ATLAS with photometric redshifts in the range 1.2 < z < 4.0. We model the weak lensing signal within the halo model formalism and carry out a Markov chain Monte Carlo algorithm to obtain the posterior distribution of all HMF parameters, which we assume to follow the Sheth and Tormen (ST) three-parameter and two-parameter fits.
Results. While the observational constraints on the HMF from the non-tomographic analysis are not stringent, there is a remarkable improvement in terms of uncertainty reduction when tomography is adopted. Moreover, with respect to the traditional ST triple of values from numerical simulations, the results from the three-parameter fit predict a higher number density of halos at masses below ∼1012 M⊙ h−1 at 95% credibility. The two-parameter fit yields even more restricting results, with a larger number density of halos below ∼1013 M⊙ h−1 and a lower one above ∼1014 M⊙ h−1, this time at more than 3σ credibility. Our results are therefore in disagreement with the standard N-body values for the ST fit at 2σ and 3σ, respectively.
Osteopathie bei Schwangeren und nach der Geburt
Authors: Marjanovic Alexandra-Henriette 
Published: March 2022

ZusammenfassungDas Diaphragma ist eine wichtige Struktur, die bei jeder Schwangeren geprüft und behandelt werden sollte. Die Herausforderung, alle Dysfunktionsketten zu entdecken, ist für den Anfänger oft
groß. Dennoch lassen sich die gelernten Techniken miteinander gut verbinden und erfolgreich anwenden. Dabei ist das Vertrauen in den eigenen Tastsinn von großer Bedeutung.
Early evolution of diurnal habits in owls (Aves, Strigiformes) documented by a new and exquisitely preserved Miocene owl fossil from China
Authors: Li Zhiheng , Stidham Thomas A. , Zheng Xiaoting , Wang Yan , Zhao Tao , Deng Tao , Zhou Zhonghe 
Published: March 2022

Significance
Owls, with their largely nocturnal habits, contrast strikingly with the vast majority of diurnal birds. A new spectacular late Miocene owl skeleton from China unexpectedly preserves the oldest evidence for daytime behavior in owls. The extinct owl is a member of the clade Surniini, which contains most living diurnal owl species. Analysis of the preserved eye bones documents them as consistent with diurnal birds, and phylogenetically constrained character mapping coincides with a reconstruction of an early evolutionary reversal away from nocturnal habits in this owl group. These results support a potential Miocene origin of nonnocturnal habits in a globally distributed owl group, which may be linked to steppe habitat expansion and climatic cooling in the late Miocene.
More than advice
Authors: Langedijk Rosalyn M. , Ham Jaap 
Published: March 2022

Abstract
Persuasive social robots can influence human behavior through giving advice. The current study investigates whether references to prior discourse and signals of empathy make an advice-giving robot an even more effective persuader and whether participants follow the robot’s advice and drink even more water when the robot additionally uses these strategies. We recruited students and university staff for a lab-study in which three different robot personalities on the same robot type presented health-related information. In one condition, the robot gave advice and referred to something mentioned earlier in the conversation (i.e., to dialog history), in another condition, the robot gave advice and used empathic signals, and in the third condition, the robot gave advice only. Our results show that participants drank significantly more when the advice-giving robot also used the persuasive strategies of empathy and references to dialog history than when the robot only gave advice. This study shows that both strategies increase the persuasiveness of the robot and makes it more influential.
Influencing laughter with AI-mediated communication
Authors: Mills Gregory , Gregoromichelaki Eleni , Howes Chris , Maraev Vladislav 
Published: March 2022

AbstractPrevious experimental findings support the hypothesis that laughter and positive emotions are contagious in face-to-face and mediated communication. To test this hypothesis, we describe four experiments in which participants communicate via a chat tool that artificially adds or removes laughter (e.g.hahaorlol), without participants being aware of the manipulation. We found no evidence to support the contagion hypothesis. However, artificially exposing participants to morelols decreased participants’ use ofhahas but led to more involvement and improved task-performance. Similarly, artificially exposing participants to morehahas decreased use ofhahabut increased lexical alignment. We conclude that, even though the interventions have effects on coordination, they are incompatible with contagion as a primary explanatory mechanism. Instead, these results point to an interpretation that involves a more sophisticated view of dialogue mechanisms along the lines of Conversational Analysis and similar frameworks and we suggest directions for future research.
How COVID-19 changed telephone interpreting in Spain
Authors: Gutiérrez Raquel Lázaro , Méndez Gabriel Cabrera 
Published: March 2022

Abstract
Before the COVID-19 pandemic, telephone interpreters in Spain were used to communicating administrative issues,
medical instructions, and even humanitarian social assistance rendered by social workers and psychologists. However, since March
2020 these interactions have been heavily replaced by conversations mediated by telephone interpreters related to severe acute
respiratory syndrome (SARS) coronavirus infection. This contribution describes the provision of telephone interpreting during the
COVID-19 pandemic using the information reported by the interpreters of the company Dualia Teletraducciones as a case study. It
focuses on healthcare-related services and clients, offering data related to the frequency of use of telephone interpreting, the
most common languages used, and the evolution of clients and services (Emergency Rooms, tracers, pandemic hotels, etc.). This
article also describes the hiring, training and quality monitoring processes, including the main tools developed to facilitate
remote interpreting during the pandemic.
Translating for Canada, eh?
Authors: Bowker Lynne 
Published: March 2022

Abstract
In a situation such as the COVID-19 pandemic, there is a need to distribute up-to-date public health information
quickly and cost effectively in a wide range of languages and language varieties. Open Educational Resources (OER) are materials
that are released under an open license and so can be freely accessed, used, adapted and shared with very few restrictions. There
are currently few localization-related OER available, although the OER format could be a useful way of supporting localization
efforts. This short article introduces the concept of OER, summarizes some key potential benefits of developing OER for the
localization community, and presents Translating for Canada, eh? / Vous traduisez pour le Canada?, an OER that
was developed to support localization efforts in Canadian English and French.
Edible film from microcrystalline cellulose (MCC) of waste banana (Musa paradisiaca) stem and chitosan
Authors: Nurhaliza Y , Nurulhaq F , Yudhanto S M , Suryanti V 
Published: March 2022

Abstract
Indonesia is one of the largest banana producing countries in the world. In 2019, national banana production was 7,280,658 tons, leaving 4 tons of banana stems for every tonne of bananas harvested. Banana stem fiber has high strength, light weight, high water absorption, fire resistance properties and biodegradable. It has high cellulose contain of 46.3%. Therefore, banana stem fiber is potential for a source of microcrystalline cellulose (MCC). The MCC was successfully isolated 34.9% yield. Edible film was fabricated by solvent casting method. Chitosan was added for antibacterial properties of fabricated edible film. The optimum formulation for chitosan and MCC mass were examined to obtain edible film with good water absorption and biodegradability.
The effect of configuration structure of lithium-ion battery: analysis of the temperature distribution performance
Authors: Nugraheni E T , Supriyanto A , Ramelan A H 
Published: March 2022

Abstract
The performance of lithium-ion batteries is affected by both storage temperature and operating temperature, so lithium-ion batteries are very sensitive to temperature. The temperature of the lithium-ion battery must be controlled between 20 ºC – 50 ºC with the temperature difference between cells not exceeding 5 ºC during the charge and discharge cycle. Therefore, the objective of the study is to optimize the influence of the structure of the battery configuration as geometric structures and the addition of distance on the thermal performance of lithium-ion batteries during the discharge process. This study uses 3 geometric structures, namely ring, line and rectangular configurations. Each geometric structure has 4 variations in the distance between cells, namely without being spaced, given a distance of 2, 6 and 10 mm. We carried simulation testing out using COMSOL Multiphysics 5.5 software with a time-dependent solver method. The results showed that variations in the geometric structures of the lithium-ion battery module have an influence on the resulting temperature distribution. Based on the variations used in the study, the geometric structures that produce the lowest temperature distributions are the configuration of line, rectangular, and ring, respectively. The distance between cells negatively affects the resulting temperature distribution. The greater the variation in cell spacing between cells, the temperature of the battery module will decrease.
Efficient algorithms for computing ground states of the 2D random-field Ising model
Authors: Mainou Argyro , Fytas Nikolaos G , Weigel Martin 
Published: March 2022

Abstract
We investigate the application of graph-cut methods for the study of the critical behaviour of the two-dimensional random-field Ising model. We focus on exact ground-state calculations, crossing the phase boundary of the model at zero temperature and varying the disorder strength. For this purpose we employ two different minimum-cut–maximum-flow algorithms, one of augmenting-path and another of push-relabel style. We implement these approaches for the square and triangular lattice problems and compare their computational efficiency.
Thermal pure quantum matrix product states: a simple numerical protocol for finite temperature
Authors: Iwaki Atsushi , Hotta Chisa 
Published: March 2022

Abstract
We present several features of a thermal pure quantum matrix product state (TPQ-MPS). TPQ-MPS can simulate finite temperature quantum many-body systems with a numerical cost comparable to the matrix product algorithm for the ground state in one-dimensional systems. Starting from a random matrix product state with auxiliary sites attached to the edges of the system, we successively operate the Hamiltonian with a shift-constant and obtain a series of TPQ-MPS that represents the microcanonical pure state at the highest temperature to the one at the lowest available temperature. How the parameters of the TPQ-MPS protocol influence the effective bond dimension χ of the matrix and the temperature distribution of these microcanonical states is examined.
Four-body variational calculation of a hydrogen-like atom involving an excited muonic molecule
Authors: Yamashita Takuma , Niiyama Motoaki , Yasuda Kazuhiro , Kino Yasushi 
Published: March 2022

Abstract
We report a four-body variational calculation of a hydrogen-like atom consisting of an excited muonic molecule consisting of d, t, and μ, and a ground state electron. Due to the compact size of the muonic molecule dtμ, it behaves as a quasi-nucleus for the electron; however, the system is actually a resonance state because the de-excitation energy of dtμ is sufficient to ionize the electron. We calculate resonance energy levels of the four-body system dtμe using a Gaussian expansion method and a stabilization method. Our best calculation results in a four-body energy of –100.159 88 a.u. which is in good agreement with the value estimated by the first order perturbation theory [Harston et al. Zeitschrift für Physik D 22, 635 (1992)]. We indicate that implementation of the electron-induced polarization of dtμ will be indispensable for the further precise determination of the resonance energy. The present result is the first step towards a full four-body calculation of the muonic molecule under the presence of the electron, which is of importance for development of a muon catalyzed fusion kinetics model.
Numerical analysis of electronic state of CNT/BNNT heterojunction
Authors: Tomiya Mitsuyoshi , Sakamoto Shoichi , Sagara Toshihiro , Yamamoto Masaki , Ishii Masahiro 
Published: March 2022

Abstract
The I-V characteristics of CNT/BNNT heterojunctions, which comprise quantum double barrier systems (DBS), were numerically investigated using density functional theory (DFT) calculations and the non-equilibrium Green’s function (NEGF) method. First, we performed a structural optimisation of the DBS of CNT/BNNT. Next, the I-V characteristics of the heterojunctions were calculated using the SIESTA package. The I-V characteristics remain flat up to a certain bias voltage, and then the current increases with increasing voltage. Our CNT/BNNT double-barrier heterojunctions have resonant states inside the barriers as semiconductor-based double-barrier diodes; these states determine the transmission function. An energy gap was centred at the Fermi energy and sharp peaks in the gap were observed. It was also found that the energy interval of the peaks near the Fermi energy was dependent on the separation length of the two BNNT barriers. Using projected density of states (PDOS) analysis, we also investigated the local behaviour of electrons in the devices.
Tempered Lefschetz thimble method as a solution to the numerical sign problem
Authors: Fukuma Masafumi , Matsumoto Nobuyuki 
Published: March 2022

Abstract
We review the tempered Lefschetz thimble method and its extension, which was recently proposed as a versatile solution to the numerical sign problem. We exemplify the effectiveness of the method by its successful application to a chiral random matrix model.
Asymmetry of anticrossing between atomic steps on metal and semiconductor surfaces
Authors: Khoroshilov V S , Kazantsev D M , Alperovich V L , Coupeau C , Drouet M 
Published: March 2022

Abstract
The interaction between intersecting vicinal and dislocation-induced atomic steps on crystal surfaces is studied experimentally on Au(111) and GaAs(001) and numerically using Monte-Carlo simulation. The interaction between intersecting steps leads to the “anticrossing” phenomenon which consists in the formation of a three-level relief configuration with the upper and lower terraces separated by a nanometer-sized bridge of intermediate height. The anticrossing effect is driven by the effective repulsion of two new combinatory steps bordering the upper and lower terraces. Two types of asymmetry between the combinatory steps are considered. In particular, the reasons for different curvature radii of the upper and lower combinatory steps are discussed, along with the issue of why dislocation-induced steps remain straight under annealing, while vicinal steps obtain clear visible ledges.
Deep level defects in GaAs gradual p-i-n junctions after neutron irradiation
Authors: Lebedeva N M , Soldatenkov F Y , Sobolev M M , Usikova A A 
Published: March 2022

Abstract
The high-voltage p+–p0–i–n0–n+ structures based on epitaxial gradual GaAs p0–i–n0 junction grown in hydrogen or argon atmosphere have been studied by capacitance-voltage spectroscopy and deep-level transient spectroscopy, DLTS, before and after neutron irradiation. After neutron irradiation, the broad bands associated with electron emission from the states lying above midgap appear in DLTS spectra of both p0–i–n0 GaAs structures. It is assumed that the carrier emission mechanism in the neutron-irradiated GaAs is the same as that in amorphous materials.
AI for Experimental Controls at Jefferson Lab
Authors: Jeske T. , McSpadden D. , Kalra N. , Britton T. , Jarvis N. , Lawrence D. 
Published: March 2022

Abstract
The AI for Experimental Controls project is developing an AI system to control and calibrate detector systems located at Jefferson Laboratory. Currently, calibrations are performed offline and require significant time and attention from experts. This work would reduce the amount of data and the amount of time spent calibrating in an offline setting. The first use case involves the Central Drift Chamber (CDC) located inside the GlueX spectrometer in Hall D. We use a combination of environmental and experimental data, such as atmospheric pressure, gas temperature, and the flux of incident particles as inputs to a sequential Neural Network (NN) to recommend a high voltage setting and the corresponding calibration constants in order to maintain consistent gain and optimal resolution throughout the experiment. Utilizing AI in this manner represents an initial shift from offline calibration towards near real time calibrations performed at Jefferson Laboratory.
A generic streaming data acquisition system for high-energy physics experiments
Authors: Wang T. , Yang J. , Sun Z. , Zhang L. , Song K. 
Published: March 2022

Abstract
The data acquisition system is a vital component in the high-energy physics experiment. To reduce redundant developments and allow for a fast setup under changing conditions, D-Matrix has been developed as an integrative solution in digital signal domain, including the hardware infrastructure and the data handling logical system. Its philosophy is to abstract different tasks in the data processing and encapsulate them as reusable modules with standard inter-module connectors. Furthermore, D-Matrix builds a unified model to integrate software and hardware design so that the system can be built from a global view. D-Matrix will be used in ion cooler-storage-ring external-target experiments. It aims at the research of phase structure of cold and high baryon density nuclear matter and the equation of states of cold asymmetric nuclear matter at supra-saturation densities. This DAQ can also be used in other high-energy physics experiments with little modifications. This paper presents the architecture and some details of the D-Matrix.
Recent rainfall conditions in the Congo Basin
Authors: Nicholson Sharon E , Klotter Douglas A , Zhou Liming , Hua Wenjian 
Published: March 2022

Abstract
In the Congo Basin, a drying trend in the April–May–June rains prevailed between 1979 and 2014, accompanied by a decline in forest productivity. This article examines the subsequent years, in order to determine whether rainfall conditions have improved and to examine meteorological factors governing conditions in those years. It is shown that a wetter period, comparable to that of 1979–1993, spanned the years 2016–2020. However, the meteorological factors responsible for the wetter conditions appear to be significantly different from those related to the earlier wet period. The wetter conditions of 1979–1993 were associated with changes in the tropical Walker circulation, in moisture flux and flux divergence, and in Pacific sea-surface temperatures (SST), namely a warmer central and eastern Pacific and a cooler western Pacific, compared to the dry phase in 2000–2014. This resulted in a lower-than-average trans-Pacific SST gradient. In contrast, SSTs were almost ubiquitously higher in the 2016–2020 period than in either prior period. However, there was some reduction in the trans-Pacific gradient. The Walker circulation and moisture flux/flux divergence were not factors in this episode. The major factors provoking the return to wetter years appear to be an increase in convective available potential energy and in total column water vapor. This could be related to the general warming of the oceans and land.