bluuebunny/crossref_metadata_2025_split huggingface dataset:
Brain electrical microstate features as biomarkers of a stable motor output
Authors: Croce Pierpaolo , Tecchio Franca , Tamburro Gabriella , Fiedler Patrique , Comani Silvia , Zappasodi Filippo 
Published: October 2022

Abstract

Objective. The aim of the present study was to elucidate the brain dynamics underlying the maintenance of a constant force level exerted during a visually guided isometric contraction task by optimizing a predictive multivariate model based on global and spectral brain dynamics features. Approach. Electroencephalography (EEG) was acquired in 18 subjects who were asked to press a bulb and maintain a constant force level, indicated by a bar on a screen. For intervals of 500 ms, we calculated an index of force stability as well as indices of brain dynamics: microstate metrics (duration, occurrence, global explained variance, directional predominance) and EEG spectral amplitudes in the theta, low alpha, high alpha and beta bands. We optimized a multivariate regression model (partial least square (PLS)) where the microstate features and the spectral amplitudes were the input variables and the indexes of force stability were the output variables. The issues related to the collinearity among the input variables and to the generalizability of the model were addressed using PLS in a nested cross-validation approach. Main results. The optimized PLS regression model reached a good generalizability and succeeded to show the predictive value of microstates and spectral features in inferring the stability of the exerted force. Longer duration and higher occurrence of microstates, associated with visual and executive control networks, corresponded to better contraction performances, in agreement with the role played by the visual system and executive control network for visuo-motor integration. Significance. A combination of microstate metrics and brain rhythm amplitudes could be considered as biomarkers of a stable visually guided motor output not only at a group level, but also at an individual level. Our results may play an important role for a better understanding of the motor control in single trials or in real-time applications as well as in the study of motor control.
Online control of the gain drift with temperature of SiPM arrays used for the readout of LaBr3:Ce crystals
Authors: Bonesini M. , Bertoni R. , Prata M. , Rossella M. 
Published: October 2022

Abstract
LaBr3:Ce crystals have been introduced for radiation imaging in medical physics, with photomultiplier or single SiPM readout. An R&D was pursued with 1/2″ and 1″ LaBr3:Ce crystals, from different producers, to realize compact large area detectors (up to some cm2 area) with SiPM array readout, aiming at high light yields, good energy resolution, good detector linearity and fast time response for low-energy X-rays. A natural application was found inside the FAMU project at RIKEN-RAL muon facility, that aims at a precise measure of the proton Zemach radius to solve the so-called “proton radius puzzle”, triggered by the recent measure of the proton charge radius at PSI. The goal is the detection of characteristic X-rays around 130 keV. Other applications may be foreseen in medical physics, such as PET, and gamma-ray astronomy. A limiting factor is the gain drift of SiPM arrays with temperature, that give a deterioration of the detector’s FWHM energy resolution. To solve this problem, a custom NIM module, based on CAEN A7585 digital power supply, was developed. Test results of the correction of gain drift with temperature for SiPM arrays from Advansid, Sensl, Hamamatsu will be presented. At the 137Cs peak, an energy resolution better than 3% was obtained for a typical LaBr3:Ce crystal, using Hamamatsu S13461 arrays. This compares well with best available results obtained with a PMTs.
Climate change, air pollution and human health
Authors: Vandyck Toon , Ebi Kristie L , Green Donna , Cai Wenjia , Vardoulakis Sotiris 
Published: October 2022

Abstract
This article takes stock of recent literature on health impacts of climate change and air pollution, and the corresponding health benefits of policy action aiming to reduce greenhouse gas and air pollutant emissions. We focus particularly on the publications in the Focus Collection on ‘Climate Change, Air Pollution and Human Health’, which illustrate advances in three key research areas. First, the impacts of global warming and air pollution are unevenly distributed, as they disproportionately affect vulnerable socio-economic groups including older adults, pregnant women, children, and people with lower earnings or education levels. Second, recent research improves our understanding and quantification of impacts identified in earlier work, and explores novel impact pathways such as the associations between allergies and climate change, and between air pollution and diabetes mellitus, Alzheimer’s disease and Parkinson’s disease. Third, significant synergies in tackling climate change and air pollution can strengthen the case for ambitious policy action. These synergies are heterogeneous across sectors and regions, point to low-hanging fruit among policy options (e.g. phasing out coal), and provide a strong basis for broader sustainable development, improving health and gender equality. Finally, we point out suggestions for future research. Research advances can guide policies to mitigate future climate change, air pollution and the associated health impacts, while informing adaptation strategies that aim to protect the health of the most vulnerable in society.
Large-scale atmospheric features favoring the tropical cyclone activity affecting the Guangdong–Hong Kong–Macao Greater Bay Area of China
Authors: Chen Weizhen , Yang Song , Wu Zeming , Cai Fenying 
Published: October 2022

Abstract
This study analyzes the large-scale circulation associated with the tropical cyclones (TCs) affecting the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) in southern China during the peak TC season (July–September) from 1980 to 2019. The results show that the frequency of the TCs affecting the GBA is closely tied to a meridional Rossby wave train from Southeast Asia to Northeast Asia, manifested by the important roles of the variability of the monsoon trough (MT) and the western North Pacific subtropical high (WNPSH). In the active GBA TC years, intensified and westward-shifted MT and northeastward-shrunk WNPSH cause anomalous southeasterly wind over the southeast coast of China, and hence more TCs move northwestward to the GBA. Furthermore, the cyclonic convergent conditions related to the tacit-and-mutual configurations of MT and WNPSH favor more TC genesis in the west of 140° E over the WNP via significant larger meridional shear vorticity of the zonal winds, ascending motions, and positive vorticity. Opposite features of wind anomalies and TC genesis are seen in the inactive GBA TC years. Both statistical and numerical analyses confirm that the meridional Rossby wave train is associated with a Matsuno–Gill response to the anomalous convective activity over the western Pacific warm pool, which is maintained by the ascending branches of the La Niña-type Walker circulation over the Pacific and the monsoon-enhanced Walker circulation over the Indian Ocean.
Baldcypress false ring formation linked to summer hydroclimatic extremes in the southeastern United States
Authors: Tucker Clay S , Pearl Jessie K , Elliott Emily A , Bregy Joshua C , Friedman Jared M , Therrell Matthew D 
Published: October 2022

Abstract
We describe the utility of false rings in Taxodium distichum (i.e. baldcypress) as a proxy for hydroclimatic extreme events in three different river basins (Pascagoula, Mobile, and Choctawhatchee) that discharge into the northern Gulf of Mexico. False rings occur as a result of a change in the environmental limiting resource for tree stem growth, and in T. distichum, false ring production is usually a result of increases in mid-growing season water availability. Our results show that false ring occurrence (from 1931 to 2018) is similar across sites but occur in different years, suggesting that false ring production is indicative of tree response to its local environment. False ring production in T. distichum has previously been correlated with summer streamflow, the season when tropical cyclone precipitation (TCP) is highest. To assess a stand-wide response, we define high false ring (HFR) years as all years when

⩾

20% of trees produced a false ring. We show total TCP in July is the best predictor for HFR years in T. distichum, and false ring production in smaller river basins captures local TCP better than larger river basins. Additionally, HFR years coincide with summers of anomalously high precipitation, anomalously low temperatures, and a positive phase of the North Atlantic Oscillation. 77% of HFR years occur in seasons when there is heavy tropical cyclone activity near sample sites, building a foundation to use false ring records as robust TCP proxies with hydroclimate reconstruction potential.
Uncovering the key mechanisms of how deep decarbonization benefits air pollution alleviation in China
Authors: Liu Xiaorui , Guo Chaoyi , Ma Xiaotian , Wu Kai , Wang Peng , Huang Zhijiong , Zhou Ziqiao , Huang Chen , Zhang Silu , Wang Minghao , Dai Hancheng 
Published: October 2022

Abstract
Addressing climate change and air pollution goals in conjunction would be efficient and cost-effective. Dealing with these two challenges is a common issue for urban clusters pursuing sustainable development. Expected to become the fourth international first-class bay area, the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) takes the lead in exploring a green and low-carbon transition path as a key element of being a pioneering economic reform demonstration zone. Based on an integrated modeling framework that couples an energy-economy model (IMED|CGE), decomposition analysis, and regression methods, the potential contribution of achieving the climate mitigation target to air pollutant reduction in the GBA by 2050 was quantified. The results showed that the transport sector has the most significant potential for carbon reduction. Energy intensity and structural transformations are the main contributors to reducing carbon emissions, with the latter becoming increasingly important over time. Climate policy can effectively reduce air pollutant emissions; however, this effect varies for different pollutants and sectors. Based on the assessment of the synergy index and cost of abatement, sectors with priority for synergic governance were identified. The regression results indicated that the carbon shadow price would be significantly more effective in reducing air pollutant emissions in the post-2030 period than before 2030, except for SO2 and NH3, partially because of the existing actions that cause the synergistic effects to decline. In addition, end-of-pipe removal measures still play a relatively significant role in reducing air pollutants, particularly VOC, NH3, and primary PM2.5. Thus, the findings suggest that priority should be given to sectors with huge synergistic benefits, such as transportation and power generation while paying attention to possible trade-offs.
Discrete space-time resetting model: application to first-passage and transmission statistics
Authors: Das Debraj , Giuggioli Luca 
Published: October 2022

Abstract
We consider the dynamics of lattice random walks with resetting. The walker moving randomly on a lattice of arbitrary dimensions resets at every time step to a given site with a constant probability r. We construct a discrete renewal equation and present closed-form expressions for different quantities of the resetting dynamics in terms of the underlying reset-free propagator or Green’s function. We apply our formalism to the biased random walk dynamics in one-dimensional (1D) unbounded space and show how one recovers in the continuous limits results for diffusion with resetting. The resetting dynamics of biased random walker in 1D domain bounded with periodic and reflecting boundaries is also analyzed. Depending on the bias the first-passage probability in periodic domain shows multi-fold non-monotonicity as r is varied. Finally, we apply our formalism to study the transmission dynamics of two lattice walkers with resetting in 1D domain bounded by periodic and reflecting boundaries. The probability of a definite transmission between the walkers shows non-monotonic behavior as the resetting probabilities are varied.
In situ volumetric imaging and analysis of FRESH 3D bioprinted constructs using optical coherence tomography
Authors: Tashman Joshua W , Shiwarski Daniel J , Coffin Brian , Ruesch Alexander , Lanni Frederick , Kainerstorfer Jana M , Feinberg Adam W 
Published: October 2022

Abstract
As 3D bioprinting has grown as a fabrication technology, so too has the need for improved analytical methods to characterize engineered constructs. This is especially challenging for engineered tissues composed of hydrogels and cells, as these materials readily deform when trying to assess print fidelity and other properties non-destructively. Establishing that the 3D architecture of the bioprinted construct matches its intended anatomic design is critical given the importance of structure-function relationships in most tissue types. Here we report development of a multimaterial bioprinting platform with integrated optical coherence tomography for in situ volumetric imaging, error detection, and 3D reconstruction. We also report improvements to the freeform reversible embedding of suspended hydrogels bioprinting process through new collagen bioink compositions, gelatin microparticle support bath optical clearing, and optimized machine pathing. This enables quantitative 3D volumetric imaging with micron resolution over centimeter length scales, the ability to detect a range of print defect types within a 3D volume, and real-time imaging of the printing process at each print layer. These advances provide a comprehensive methodology for print quality assessment, paving the way toward the production and process control required for achieving regulatory approval and ultimately clinical translation of engineered tissues.
Interaction of excitons with magnetic topological defects in 2D magnetic monolayers: localization and anomalous Hall effect
Authors: Kazemi M , Shahnazaryan V A , Zhumagulov Y V , Bessarab P F , Shelykh I A 
Published: October 2022

Abstract
Novel 2D material CrI3 reveals unique combination of 2D ferromagnetism and robust excitonic response. We demonstrate that the possibility of the formation of magnetic topological defects, such as Néel skyrmions, together with large excitonic Zeeman splitting, leads to giant scattering asymmetry, which is the necessary prerequisite for the excitonic anomalous Hall effect. In addition, the diamagnetic effect breaks the inversion symmetry, and in certain cases can result in exciton localization on the skyrmion. This enables the formation of magnetoexcitonic quantum dots with tunable parameters.
Correlation between linear magnetostriction and magnetocaloric effect in the Fe7Se8 single crystals
Authors: Konopelnyk Y , Żuberek R , Nabiałek A , Szymczak H , Puźniak R 
Published: October 2022

Abstract
The effect of the change in size under the influence of an applied magnetic field (magnetostriction) was studied in Fe7Se8 single crystals. It was shown that a systematic change in the unit-cell constants, induced by an external magnetic field and dependent on the direction and magnitude of this field, strongly correlates with the change in the spin reorientation temperature (T
SRT) and the magnetic entropy change, which is strongly dependent on T
SRT and magnetization. The obtained results suggest that the relation between magnetostriction and the change in magnetic entropy (ΔS
m), reported previously for different materials, seems to have universal character, and magnetostriction can be used as an indirect method to estimate the change in magnetic entropy in Fe7Se8 single crystals substituted with transition metals.
Causality in non-fourier heat conduction
Authors: Camacho de la Rosa A , Esquivel-Sirvent R 
Published: October 2022

Abstract
We present a study of the causal response of non-Fourier heat conduction by introducing a dispersive generalized thermal susceptibility and show it obeys Kramers-Kronig relations. In particular, we discuss the Cattaneo-Vernotte and the dual-phase lag models. The constitutive equations are written as a linear response theory and determine the conditions for which the dual-phase lag model does not satisfy Kramers-Kronig relations. An alternative model is presented to describe non-Fourier transport using the similarity with the causal response of viscoelastic materials to avoid this unphysical issue.
Local multifractality in urban systems—the case study of housing prices in the greater Paris region
Authors: Lengyel J , Roux S G , Abry P , Sémécurbe F , Jaffard S 
Published: October 2022

Abstract
Even though the study of fractal and multifractal properties has now become an established approach for statistical urban data analysis, the accurate multifractal characterisation of smaller, district-scale spatial units is still a somewhat challenging task. The latter issue is key for understanding complex spatial correlations within urban regions while the methodological challenge can be mainly attributed to inhomogeneous data availability over their territories. We demonstrate how the approach proposed here for the multifractal analysis of irregular marked point processes is able to estimate local self-similarity and intermittency exponents in a satisfactory manner via combining methods from classical multifractal and geographical analysis. With the aim of emphasizing general applicability, we first introduce the procedure on synthetic data using a multifractal random field as mark superposed on two distinct spatial distributions. We go on to illustrate the methodology on the example of home prices in the greater Paris region, France. In the context of complex urban systems, our findings proclaim the need for separately tackling processes on the geolocation (support) and any attached value (mark, e.g. home prices) of geospatial data points in an attempt to fully describe the phenomenon under observation. In particular, the results are indicators of the strength of global and local spatial dependency in the housing price structure and how these build distinct layered patterns within and outside of the municipal boundary. The derived properties are of potential urban policy and strategic planning relevance for the timely identification of local vulnerabilities while they are also intended to be combinable with existing price indices in the regional economics context.
La2Rh

3+δ

Sb4: a new ternary superconducting rhodium-antimonide
Authors: Cheng Kangqiao , Xie Wei , Zou Shuo , Bu Huanpeng , Bao Jin-Ke , Zhu Zengwei , Guo Hanjie , Cao Chao , Luo Yongkang 
Published: October 2022

Abstract
Rhodium-containing compounds offer a fertile playground to explore novel materials with superconductivity (SC) and other fantastic electronic correlation effects. A new ternary rhodium-antimonide La2Rh

3
+
δ

Sb4 (

δ
≈
1

/

8

) has been synthesized by a Bi-flux method. It crystallizes in the orthorhombic Pr2Ir3Sb4-like structure, with the space group Pnma (No. 62). The crystalline structure appears as stacking the two-dimensional RhSb4- and RhSb5-polyhedra networks along b axis, and the La atoms embed in the cavities of these networks. Band structure calculations confirm it as a multi-band metal with a van-Hove singularity like feature at the Fermi level, whose density of states are mainly of Rh-4d and Sb-5p characters. The calculations also imply that the redundant Rh acts as charge dopant. SC is observed in this material with onset transition at

T
c

o
n

≈
0.8

K. Ultra-low temperature magnetic susceptibility and specific heat measurements suggest that it is an s-wave type-II superconductor. Our work may also imply that the broad

L

n
2

T

m

3
+
δ

Sb4 (Ln = rare earth, Tm = Rh, Ir) family may host new material bases where new superconductors, quantum magnetism and other electronic correlation effects could be found.
A Diaspora Moment
Authors: Prestel Joseph Ben 
Published: October 2022

Abstract
While the West German Left had been a staunch supporter of Israel until 1967, ties between Palestinians and the country’s radical Left flourished after the Six-Day War. At the same time, a Palestine solidarity movement emerged in the Federal Republic. Since the late 1970s, these ties weakened again, and critical questions about Palestinian politics multiplied. How can historians explain these ebbs and flows of pro-Palestinian activism? The untapped Palestinian archive of solidarity movements offers a new perspective on a story of transnational radicalism, situating developments that have long been seen as internal affairs in national histories in a global context. A combined study of Palestinian and German documents reveals the central role that the Palestinian diaspora played in the spread of solidarity movements in Western Europe. The displaced nature of Palestinian politics ultimately illustrates the limitations of national histories and categories like domestic and foreign, internal and external. Looking at Palestinian-West German ties through a Palestinian lens sheds light on a diaspora moment that stretched from the 1950s into the 1980s, when actors without a state shaped leftist politics that bridged Western Europe and the Middle East.
Learning temporal difference embeddings for biomedical hypothesis generation
Authors: Zhou Huiwei , Jiang Haibin , Yao Weihong , Du Xun 
Published: October 2022

Abstract

Motivation
Hypothesis generation (HG) refers to the discovery of meaningful implicit connections between disjoint scientific terms, which is of great significance for drug discovery, prediction of drug side effects and precision treatment. More recently, a few initial studies attempt to model the dynamic meaning of the terms or term pairs for HG. However, most existing methods still fail to accurately capture and utilize the dynamic evolution of scientific term relations.

Results
This article proposes a novel temporal difference embedding (TDE) learning framework to model the temporal difference information evolution of term-pair relations for predicting future interactions. Specifically, the HG problem is formulated as a future connectivity prediction task on a temporal sequence of a dynamic attributed graph. Our approach models both the local neighbor changes of the term-pairs and the changes of the global graph structure over time, learning local and global TDE of node-pairs, respectively. Future term-pair relations can be inferred in a recurrent network based on the local and global TDE. Experiments on three real-world biomedical term relationship datasets show the effectiveness and superiority of the proposed approach.

Availability and implementation
The data and source codes related to TDE are publicly available at https://github.com/Huiweizhou/TDE.

Supplementary information
Supplementary data are available at Bioinformatics online.