bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of impulsivity, physical development, and mental health to perceptual‐motor control after concussion in adolescents
Authors: Eagle Shawn R. , Kontos Anthony P. , Connaboy Chris 
Published: November 2021

ABSTRACTSport‐related concussion (SRC) can affect multiple domains including impairment in perceptual‐motor control (PMC) in adolescents, potentially increasing subsequent injury risk. Research suggests that impulsivity, physical development, and mental health may be associated with PMC after SRC, but researchers have yet to examine this association. Adolescents (12–18y; n = 48) within 21 days of SRC were compared to 20 healthy adolescents with no concussion history using the Perception‐Action Coupling Task (PACT), Barratt Impulsivity Scale (BIS), Pubertal Development Scale (PDS), Generalized Anxiety Disorder‐7 (GAD‐7) and Personal Health Questionnaire‐9 (PHQ‐9). All outcomes were entered as predictors in linear regression (LR) models to predict PACT outcomes (accuracy; initiation, movement, and reaction times). Concussed adolescents had lower PACT accuracy (p = 0.016), higher PHQ‐9 (p = 0.029), total BIS (p = 0.004), attention impulsivity (p = 0.005), and cognitive instability impulsivity (p = 0.004). All four LRs were statistically significant (R2 = 0.18–0.38; p < 0.05), and included 1 + impulsivity domains as significant predictors (p < 0.05). Cognitive instability impulsivity appeared in 3/4 models of PACT outcomes. ADD/ADHD history, anxiety, and physical development ratings were also significant predictors of PACT outcomes. This study revealed associations between PMC and medical history, impulsivity, physical development and mental health in adolescents following SRC. Future studies should investigate the temporal relationship among these variables in this at‐risk population.Highlights
After SRC, adolescents had deficits in action boundary perception accuracy, while reporting higher depression symptoms and impulsivity, including attention and cognitive instability components.
Certain domains of impulsivity were predictive of action boundary perception accuracy and each perception actualization measure in the concussed group.
ADD/ADHD history, anxiety scores, and physical development ratings were also significant predictors of perceptual‐motor accuracy and actualization time.
A resonant high-pressure sensor based on dual cavities
Authors: Yu Jie , Lu Yulan , Chen Deyong , Wang Junbo , Chen Jian , Xie Bo 
Published: November 2021

Abstract
High-pressure sensors enable expansive demands in ocean sciences, industrial controls, and oil explorations. Successful sensor realized in piezoresistive high-pressure sensors which suffer from the key issue of compromised accuracies due to serious temperature drifts. Herein, this paper presents a high accuracy resonant high-pressure sensor with the pressure range of 70 MPa. Different from conventional resonant high-pressure sensor, the developed sensor utilized a dual-resonator-cavity design to minimize temperature disturbances and improve the pressure sensitivities. Besides, four circle cavities were used to maintain a high vacuum level for resonators after anodic bonding process. In details, Dual resonators, which is parallelly placed in the tensile and compressive stresses areas of a rectangular pressure sensitive diaphragm, are separated vacuum-packaged in the parallel dual cavities. Thus, pressure under measurement bends the pressure sensitive diaphragm, producing an increased pressure sensitivity and a decreased temperature sensitivity by the differential outputs of the dual resonators. Parameterized mathematical models of the sensor were established and the parameters of the models were optimized to adjust the pressure sensitivities and the temperature sensitivities of the sensor. Simplified deep reactive ion etching was used to form the sensing structure of the sensor and only once anodic bonding was used to form vacuum packaging for the dual resonators. Experimental results confirmed that the Q values of the resonators were higher than 32 000. Besides, the temperature sensitivity of the sensor was reduced from 44 Hz °C−1 (494 ppm °C−1) to 1 Hz °C−1 (11 ppm °C−1) by the differential outputs of the dual resonators in the temperature range of −10 °C–60 °C under the pressure of 1000 kPa. In addition, the accuracy of the sensor was better than 0.02% FS within the pressure range of 110–6500 kPa and the temperature range of −10 °C–60 °C by using a polynomial algorithm.
Atomic scale chemical ordering in franckeite—a natural van der Waals superlattice
Authors: Zschiesche Hannes , Aygar Ayse Melis , Langelier Brian , Szkopek Thomas , Botton Gianluigi A 
Published: November 2021

Abstract
The mineral franckeite is a naturally occurring van der Waals superlattice which has recently attracted attention for future applications in optoelectronics, biosensors and beyond. Furthermore, its stacking of incommensurately modulated 2D layers, the pseudo tetragonal Q-layer and the pseudo hexagonal H-layer, is an experimentally accessible prototype for the development of synthetic van der Waals materials and of advanced characterization methods to reveal new insights in their structure and chemistry at the atomic scale that is crucial for deep understanding of its properties. While some experimental studies have been undertaken in the past, much is still unknown on the correlation between local atomic structure and chemical composition within the layers. Here we present an investigation of the atomic structure of franckeite using state-of-the-art high-angle annular dark-field (HAADF) scanning transmission electron microscopy (STEM) and atom probe tomography (APT). With atomic-number image contrast in HAADF STEM direct information about both the geometric structure and its chemistry is provided. By imaging samples under different zone axes within the van der Waals plane, we propose refinements to the structure of the Q-layer and H-layer, including several chemical ordering effects that are expected to impact electronic structure calculations. Additionally, we observe and characterize stacking faults which are possible sources of differences between experimentally determined properties and calculations. Furthermore, we demonstrate advantages and discuss current limitations and perspectives of combining TEM and APT for the atomic scale characterization of incommensurately modulated von der Waals materials.
GaAs/GaAsPBi core–shell nanowires grown by molecular beam epitaxy
Authors: Himwas C , Yordsri V , Thanachayanont C , Tchernycheva M , Panyakeow S , Kanjanachuchai S 
Published: November 2021

Abstract
We report on the growth, structural, and optical properties of GaAs/GaAsPBi core–shell nanowires (NWs) synthesized by molecular beam epitaxy (MBE). The structure presents advantageous optical properties, in particular, for near- and mid-infrared optical applications. Scanning electron microscopy shows that although the stems of GaAs/GaAsP and GaAs/GaAsBi core–shell NWs preserve the hexagonal prism shape, the GaAs/GaAsPBi core–shell NWs develop a quasi-three-fold orientational symmetry affected by the hexagonal prismatic core. Detailed structural analyses of a GaAs/GaAsPBi core–shell stem show that it crystallized with zincblende structure with a nominal shell composition of GaAs0.617P0.362Bi0.021. Photoluminescence of GaAs/GaAsPBi core–shell NWs shows the luminescent peak at 1.02 eV with high internal quantum efficiency at room temperature (IQERT ∼ 6%) superior to those of MBE-grown GaAs core NWs and GaAsPBi multiple quantum wells earlier reported. Energy-dispersive x-ray spectroscopy performed on the GaAs/GaAsPBi core–shell NWs yields an estimated bandgap different from the optically measured value. We attribute this discrepancy to the NW compositional fluctuations that also may explain the high IQERT.
Near-term quantum algorithms for linear systems of equations with regression loss functions
Authors: Huang Hsin-Yuan , Bharti Kishor , Rebentrost Patrick 
Published: November 2021

Abstract
Solving linear systems of equations is essential for many problems in science and technology, including problems in machine learning. Existing quantum algorithms have demonstrated the potential for large speedups, but the required quantum resources are not immediately available on near-term quantum devices. In this work, we study near-term quantum algorithms for linear systems of equations, with a focus on the two-norm and Tikhonov regression settings. We investigate the use of variational algorithms and analyze their optimization landscapes. There exist types of linear systems for which variational algorithms designed to avoid barren plateaus, such as properly-initialized imaginary time evolution and adiabatic-inspired optimization, suffer from a different plateau problem. To circumvent this issue, we design near-term algorithms based on a core idea: the classical combination of variational quantum states (CQS). We exhibit several provable guarantees for these algorithms, supported by the representation of the linear system on a so-called ansatz tree. The CQS approach and the ansatz tree also admit the systematic application of heuristic approaches, including a gradient-based search. We have conducted numerical experiments solving linear systems as large as 2300 × 2300 by considering cases where we can simulate the quantum algorithm efficiently on a classical computer. Our methods may provide benefits for solving linear systems within the reach of near-term quantum devices.
Effects of time on the evolution of a wave packet in the tunneling dynamics
Authors: Jia Lijuan , Xu Long , Zhang Peng , Fu Libin 
Published: November 2021

Abstract
We investigate the time-dependent electron wave packet in a one-dimensional geometry with the potential bent by a homogeneous external field. Based on the behaviors of the wave packet over time, we observe a crossover time. After this crossover time, the temporal evolution of the wave packet comes into a new regime, where the wave packet evolves in a self-similar structure. To establish the time scale of this crossover quantitatively, we utilize the Loschmidt echo function, through which the time at which the crossover occurs can be extracted. We also find the time of the maximum ionization velocity can be comparable with the semi-classical tunneling delay time.
Generalized-hydrodynamic approach to inhomogeneous quenches: correlations, entanglement and quantum effects
Authors: Alba Vincenzo , Bertini Bruno , Fagotti Maurizio , Piroli Lorenzo , Ruggiero Paola 
Published: November 2021

Abstract
We give a pedagogical introduction to the generalized hydrodynamic approach to inhomogeneous quenches in integrable many-body quantum systems. We review recent applications of the theory, focusing in particular on two classes of problems: bipartitioning protocols and trap quenches, which represent two prototypical examples of broken translational symmetry in either the system initial state or post-quench Hamiltonian. We report on exact results that have been obtained for generic time-dependent correlation functions and entanglement evolution, and discuss in detail the range of applicability of the theory. Finally, we present some open questions and suggest perspectives on possible future directions.
Passive Ultra High Frequency RFID sensor with reference tag for crack detection of aluminum alloy structure
Authors: Wang P. , Dong L. , Wang H. , Li G. , Xie X. 
Published: November 2021

Abstract
It can be ensured safe and reliable operation of a metallic
structure by monitoring the positions which are easy to
crack. Because the channel changes with the environment, a tag
sensor in the ultra high frequency (UHF) is vulnerable to
interference. This paper aims to investigate the reliability of
passive RFID sensor systems with a reference tag for crack detection
of aluminum alloy structures when the condition of reading distance
and surrounding environment changes. The impedance and gain of tags
are simulated, which provides theoretical basis for experimental
analysis. With an increase of crack depth, the impedance of the
sensor tag shifts to the low frequency direction, and the reference
tag changes slightly. When dual tags are placed orthogonally, the
gain of the sensor tag changes greatly, which means that it is more
sensitive to crack depth. The backscatter power of the sensor tag
shows a decline trend, and the power of the reference tag remains
unchanged. The sensor features a linear response with the variation
of crack depth. The sensitivity of crack characterization is better
when dual tags are placed orthogonally.
Impacts of supply-side climate change mitigation practices and trade policy regimes under dietary transition: the case of European agriculture
Authors: Clora Francesco , Yu Wusheng , Baudry Gino , Costa Luís 
Published: November 2021

Abstract
The European Union’s Green Deal proposal and Farm to Fork strategy call for both demand and supply measures to reduce emissions from the food system. While research clearly illustrates the importance of dietary transitions, impacts of potential supply-side measures are not well understood in relation to competitiveness concerns and leakage effects. This study assesses trade and GHG emission impacts of two supply-side mitigation strategies (intensification vs. extensification) in the EU, UK and Switzerland (EU + 2), against a 2050 baseline featuring healthy/sustainable diets adopted by European consumers. To capture potential leakage effects arising from changing external trade flows, the two supply-side strategies are assessed against three trade policy regimes (i.e. status quo, regional trade liberalization with and without border carbon adjustment), resulting in six scenarios formulated with detailed inputs from the EUCalc model and other literature and simulated with a purported-designed CGE model. Results show that intensification, while improving the EU + 2’s external trade balance, does not reduce emissions in the EU + 2, compared to the baseline. In contrast, extensification leads to a substantial emission abatement that augments reductions from the assumed dietary transition in the baseline, resulting in a combined 31% agricultural emission reduction in EU + 2 during 2014–2050. However, this is at the expense of reduced net agrifood exports by US$25 billion compared to the baseline and significant carbon leakage at a rate of 48% (i.e. nearly half of agricultural emission reduction in the EU + 2 ‘leaked’ to elsewhere). Furthermore, implementing the EU + 2’s prospective regional trade agreements results in increased territorial emissions. Although a border carbon adjustment by the EU + 2 can improve its trade balance and partially shift mitigation burdens to other countries, the associated reductions in global emissions (and carbon leakage) would be marginal. Finally, different trade and emission effects are identified between the crop and livestock sectors, pointing to the desirability of a mixed agriculture system with intensified livestock sector and extensified crop agriculture in the EU + 2 that balances emission reduction goals and competitiveness concerns.
Understanding and modelling wildfire regimes: an ecological perspective
Authors: Harrison Sandy P , Prentice I Colin , Bloomfield Keith J , Dong Ning , Forkel Matthias , Forrest Matthew , Ningthoujam Ramesh K , Pellegrini Adam , Shen Yicheng , Baudena Mara , Cardoso Anabelle W , Huss Jessica C , Joshi Jaideep , Oliveras Imma , Pausas Juli G , Simpson Kimberley J 
Published: November 2021

Abstract
Recent extreme wildfire seasons in several regions have been associated with exceptionally hot, dry conditions, made more probable by climate change. Much research has focused on extreme fire weather and its drivers, but natural wildfire regimes—and their interactions with human activities—are far from being comprehensively understood. There is a lack of clarity about the ‘causes’ of wildfire, and about how ecosystems could be managed for the co-existence of wildfire and people. We present evidence supporting an ecosystem-centred framework for improved understanding and modelling of wildfire. Wildfire has a long geological history and is a pervasive natural process in contemporary plant communities. In some biomes, wildfire would be more frequent without human settlement; in others they would be unchanged or less frequent. A world without fire would have greater forest cover, especially in present-day savannas. Many species would be missing, because fire regimes have co-evolved with plant traits that resist, adapt to or promote wildfire. Certain plant traits are favoured by different fire frequencies, and may be missing in ecosystems that are normally fire-free. For example, post-fire resprouting is more common among woody plants in high-frequency fire regimes than where fire is infrequent. The impact of habitat fragmentation on wildfire crucially depends on whether the ecosystem is fire-adapted. In normally fire-free ecosystems, fragmentation facilitates wildfire starts and is detrimental to biodiversity. In fire-adapted ecosystems, fragmentation inhibits fires from spreading and fire suppression is detrimental to biodiversity. This interpretation explains observed, counterintuitive patterns of spatial correlation between wildfire and potential ignition sources. Lightning correlates positively with burnt area only in open ecosystems with frequent fire. Human population correlates positively with burnt area only in densely forested regions. Models for vegetation-fire interactions must be informed by insights from fire ecology to make credible future projections in a changing climate.
Breaking of Huygens–Fresnel principle in inhomogeneous Tomonaga–Luttinger liquids
Authors: Gluza Marek , Moosavi Per , Sotiriadis Spyros 
Published: November 2021

Abstract
Tomonaga–Luttinger liquids (TLLs) can be used to effectively describe one-dimensional quantum many-body systems such as ultracold atoms, charges in nanowires, superconducting circuits, and gapless spin chains. Their properties are given by two parameters, the propagation velocity and the Luttinger parameter. Here we study inhomogeneous TLLs where these are promoted to functions of position and demonstrate that they profoundly affect the dynamics: in general, besides curving the light cone, we show that propagation is no longer ballistically localized to the light-cone trajectories, different from standard homogeneous TLLs. Specifically, if the Luttinger parameter depends on position, the dynamics features pronounced spreading into the light cone, which cannot be understood via a simple superposition of waves as in the Huygens–Fresnel principle. This is the case for ultracold atoms in a parabolic trap, which serves as our main motivation, and we discuss possible experimental observations in such systems.
Spectra, eigenstates and transport properties of a

PT

-symmetric ring
Authors: Ortega Adrian , Benet Luis , Larralde Hernán 
Published: November 2021

Abstract
We study, analytically and numerically, a simple

P
T

-symmetric tight-binding ring with an onsite energy a at the gain and loss sites. We show that if a ≠ 0, the system generically exhibits an unbroken

P
T

-symmetric phase. We study the nature of the spectrum in terms of the singularities in the complex parameter space as well as the behavior of the eigenstates at large values of the gain and loss strength. We find that in addition to the usual exceptional points (EPs), there are ‘diabolical points’, and inverse EPs at which complex eigenvalues reconvert into real eigenvalues. We also study the transport through the system. We calculate the total flux from the source to the drain, and how it splits along the branches of the ring. We find that while usually the density flows from the source to the drain, for certain eigenstates a stationary ‘backflow’ of density from the drain to the source along one of the branches can occur. We also identify two types of singular eigenstates, i.e. states that do not depend on the strength of the gain and loss, and classify them in terms of their transport properties.
Fisheries management policy in Indonesia’s Exclusive Economic Zone area
Authors: Pramoda R , Indahyanti B V , Shafitri N , Zulham A , Koeshendrajana S , Yuliaty C , Kurniasari N , Kurniawan T , Muawanah U , Hafsaridewi R , Rosyidah L , Kuncoro H S 
Published: November 2021

Abstract
The existing fisheries management within the Indonesian Exclusive Economic Zone (EEZ) is based upon several regulations derived from international conventions, national regulations, as well as conventions mutually agreed by Regional Fisheries Management Organizations members, which is intended to ensure that fish resources in the EEZ area can be managed optimally and sustainably. The sole purpose of this qualitative research is to examine national and international policies that regulate fisheries management in the Indonesian EEZ waters. The analysis was carried out qualitatively with a normative juridical approach and then descriptively elaborated. The results showed that the national regulations issued by the government has already referred to the UNCLOS 1982 and WCPFC Conventions, but the implementation has been far from optimal due to the heaps of regulatory references. Therefore, it is of utmost importance that the government set its policies on setting up appropriate regulations and simplifying all national regulations governing fisheries management in the Indonesian EEZ into a single regulation. It is meant to avoid overlapping arrangements and facilitate a much better implementation.
The impacts of climate change on plankton as live food: A review
Authors: Azani N , Ghaffar M A , Suhaimi H , Azra M N , Hassan M M , Jung L H , Rasdi N W 
Published: November 2021

Abstract
Climate change is expected to warm up the ocean surface where majority of life inhabits. Ocean warming influences vertical mixing and stratification patterns, which alter nutrient cycle, plankton production, and aquatic food web. Plankton serves as the first food source for all larval organisms and the base of aquatic ecosystem. Zooplankton community is a crucial component of the aquatic food web. They are critical components in an ecosystem of aquatic and worldwide biogeochemical cycles. Zooplankton contributes as food source to economically valuable fishes, primary-production grazers, and carbon and nutrient cycle drivers. Climate change contributes to dire consequences by altering the baseline of aquatic food web structure. However, the ocean biota itself can influence climate change, and the implications of this are evident from the increase and decrease of wild fisheries production. This review highlights the effect of climate change on phytoplankton and zooplankton production.
Isolation of sea cucumbers’s (Holothuria atra) secondary metabolite using column-chromatography technique
Authors: Agustina S , Bella S , Karina S , Irwan I , Ulfah M 
Published: November 2021

Abstract
Identification of sea cucumbers from Benteng Inong Balee, Aceh Besar and their phytochemistry screening were conducted in December 2020 to January 2021 at Laboratory of Marine Chemistry and Fisheries Biotechnology, Universitas Syiah Kuala. The purpose of this study was to identify the species of sea cucumbers and its secondary metabolite content using phytochemistry screening and column chromatography. The species of sea cucumbers that were identified was Holothuria atra. The extraction method used in sea cucumber extraction was maceration method, while the separation of secondary metabolites used column-chromatography with eluent of n-hexane : ethyl acetate (8:4). The results showed that secondary metabolites obtained from phytochemical tests were flavonoids, saponins and triterpenoids.