bluuebunny/crossref_metadata_2025_split huggingface dataset:
Coherent states on the circle: semiclassical matrix elements in the context of Kummer functions and the Zak transformation
Authors: Giesel Kristina , Winnekens David 
Published: July 2023

Abstract
We extend former results for coherent states on the circle in the literature in two ways. On the one hand, we show that expectation values of fractional powers of momentum operators can be computed exactly analytically by means of Kummer’s confluent hypergeometric functions. Earlier, these expectation values have only been obtained by using suitable estimates. On the other hand, we consider the Zak transformation not only to map harmonic oscillator coherent states to coherent states on the circle as it has been discussed before, but we also use the properties of the Zak transformation to derive a relation between matrix elements with respect to coherent states in

L

2

(
R
)

and L
2(S
1). This provides an alternative way for computing semiclassical matrix elements for coherent states on the circle. In certain aspects, this method simplifies the semiclassical computations in particular if one is only interested in the classical limit, that is the zeroth order term in the semiclassical expansion.
Theoretical study of 2D PbSe/Bi2Se3 heterojunctions as gas sensors for the detection of SO2 and Cl2
Authors: Zhang Jiwei , Pang Jianhua , Chen Hui , Wei Guang , Wei Songrui , Wang Kuanyi , Yan Jin 
Published: July 2023

Abstract
In this paper, we construct a two-dimensional PbSe/Bi2Se3 van der Waals heterojunction to study the adsorption of Cl2 and SO2 by this heterojunction. Based on the help of Bader charge, charge density difference diagram, and electron localization function, we find the following conclusions. Among the six configurations, three meet the requirements for semiconductor gas sensor detection materials, namely α-PbSe-Bi2Se3, β-PbSe-Bi2Se3, and Bi2Se3-γ-PbSe. The Bi surface of the configuration α-PbSe-Bi2Se3 does not break the Cl-Cl bond in the Cl2 molecule after the adsorption of Cl2, and the band gap of the adsorbed material is reduced by 73.1%. The band gap of the Pb surface of the α-PbSe-Bi2Se3, β-PbSe-Bi2Se3 and Bi2Se3-γ-PbSe configurations change significantly after the adsorption of SO2, directly changing from a narrow band gap to a metallic material with a low adsorption energy and easy desorption of SO2 from the adsorbed material. Therefore, the two-dimensional PbSe/Bi2Se3 van der Waals heterojunction has the potential to become a core detection material for Cl2 and SO2 gas sensors.
Growing-dimensional partially functional linear models: non-asymptotic optimal prediction error
Authors: Zhang Huiming , Lei Xiaoyu 
Published: July 2023

Abstract
Under the reproducing kernel Hilbert spaces (RKHS), we focus on the penalized least-squares of the partially functional linear models (PFLM), whose predictor contains both functional and traditional multivariate parts, and the multivariate part allows a divergent number of parameters. From the non-asymptotic point of view, we study the rate-optimal upper and lower bounds of the prediction error. An exact upper bound for the excess prediction risk is shown in a non-asymptotic form under a more general assumption known as the effective dimension to the model, by which we also show the prediction consistency when the number of multivariate covariates p slightly increases with the sample size n. Our new finding implies a trade-off between the number of non-functional predictors and the effective dimension of the kernel principal components to ensure prediction consistency in the increasing-dimensional setting. The analysis in our proof hinges on the spectral condition of the sandwich operator of the covariance operator and the reproducing kernel, and on sub-Gaussian and Berstein concentration inequalities for the random elements in Hilbert space. Finally, we derive the non-asymptotic minimax lower bound under the regularity assumption of the Kullback-Leibler divergence of the models.
Optoelectronic and thermoelectric properties of LiCuM (M=S, Se and Te) half-Heuslers: insights first principle calculations
Authors: Azouaoui A , Harbi A , Toual Y , Mouchou S , Moutaabbid M , Hourmatallah A , Benzakour N , Bouslykhane K 
Published: July 2023

Abstract
The work is performed to study the structural stability and optoelectronic properties as well as thermoelectric properties of LiCuM (M=S, Se and Te) half-Heusler semiconductors using density functional theory (DFT) and semi-classical Boltzmann transport. The ground state results show that the compounds exhibit semiconducting behavior with a direct band-gap. The elastic parameters indicate that the present compounds are mechanically, dynamically stable and brittle. The calculated optical properties in GGA and GGA+U approaches show that the dominant response in the low ultraviolet and visible energy regions. The thermoelectric properties are evaluated using the Slack model and temperature dependent relaxation time in the temperature range of 100 K to 1000 K. The response of thermoelectric properties to temperature is evaluated and discussed in detail. The figure of merit with relaxation time is found to increase with temperature and reaches the optimal values in GGA and GGA+U at 1000 K are 0.69(0.01), 0.66(0.665) and 0.67(0.778) for LiCuS, LiCuSe and LiCuTe, respectively. The lattice thermal conductivity decreases with increasing temperature. These properties make these compounds promising candidates for optoelectronic and thermoelectric devices.
A hydrodynamic approach to Stark localization
Authors: Capizzi Luca , Vanoni Carlo , Calabrese Pasquale , Gambassi Andrea 
Published: July 2023

AbstractWhen a free Fermi gas on a lattice is subject to the action of a linear potential it does not drift away, as one would naively expect, but it remains spatially localized. Here we revisit this phenomenon, known as Stark localization, within the recently proposed framework of generalized hydrodynamics. In particular, we consider the dynamics of an initial state in the form of a domain wall and we recover known results for the particle density and the particle current, while we derive analytical predictions for relevant observables such as the entanglement entropy and the full counting statistics. Then, we extend the analysis to generic potentials, highlighting the relationship between the occurrence of localization and the presence of peculiar closed orbits in phase space, arising from the lattice dispersion relation. We also compare our analytical predictions with numerical calculations and with the available results, finding perfect agreement. This approach paves the way for an exact treatment of the interacting case known as Stark many-body localization.
A thin flexible zinc battery enabled by simultaneously electro-depositing both electrodes in acetate electrolytes
Authors: Luo Shiqiang , Liu Shiwei , Yang Guoshen , Xie Yinghao , Hiralal Pritesh , Nie Zanxiang , Amaratunga Gehan A.J. , Zhou Hang 
Published: July 2023

Abstract
Electrolytic batteries with the anode or cathode formed by electro-deposition from the electrolytes show promising potential for simplifying the fabrication process of flexible and micro-size rechargeable batteries. Thin flexible zinc batteries with both anode and cathode electro-deposited simultaneously are demonstrated and investigated here. We find that the acetate anions (Ac-) show excellent electro-depositing efficiency for manganese oxide cathodes, which enable a capacity of 0.26 mAh/cm2 with only carbon current collectors and electrolytes.
Study on surface modification and optical properties of Nd-doped phosphate glass
Authors: Kong Zhuang , Jia Jinsheng , Sun Yong , Zhao Jinkai , Na Tianyi , Meng Fanyu , Meng Zheng , Yang Liangliang , Liu Bo , Wang Yiwei , Wang Wei 
Published: July 2023

Abstract
Using laser neodymium glass (N31) as the substrate, through ion exchange and hydrogen reduction process, a high-efficiency light absorption layer was formed from the substrate around the glass. It has been discovered that increasing the ion exchange temperature and time enhanced the exchange depth of laser glass, but excessive temperature and prolonged time will lead to corrosion of laser glass. The experiment shows that the best exchange temperature is 460°C and the best exchange time is 720min. When the hydrogen pressure was 0.8MP, the reduction temperature was 480°C and the reduction time was 12000 min, the absorption rate of the sample at 1053nm was 95.8%.
Identification of adulterated honey with different varieties and concentrations based on hyperspectral imaging technology combined with deep learning
Authors: Wu Xiao , Zhang Jiangkun , Wang Shaobo , Zhu Shihao , Deng Hongyang , Yuan Pin 
Published: July 2023

Abstract
Honey is an important agricultural and sideline product in China, which contains the high nutritional value and commercial value. An advanced honey adulteration identification model can help beekeepers and consumers better identify honey and avoid losses. Given the complex operation and high technical requirements of traditional honey identification experimental instruments, a new model for quickly and efficiently identifying honey adulteration with different kinds and concentrations was developed in this study. Based on the data of adulterated honey with different varieties and concentrations obtained by hyperspectral imaging technology, a large number of regions of interest were randomly selected as samples. Then, the classification model is established by adopting preprocessing methods such as standardization, centralization, multivariate scattering correction, standard variable transformation, first-order difference, and second-order difference, combining the advantages of convolutional neural network and support vector machine. Finally, the accuracy of the results is compared, and D1-CNN-SVM is determined as the best classification prediction model, with an accuracy rate of 100%. At the same time, through the analysis of the confusion matrix of experimental results, this study summarizes the difficulties in identifying adulterated honey of different varieties and concentrations.
Implementation of FPGA based real-time digital DAQ for high resolution, and high count rate nuclear spectroscopy application
Authors: Kumar Paul Ram , Das Amitabha , Dhara Partha , Banerjee Ayan , Samanta Tapas , Pal Sarbajit , Banerjee K. 
Published: July 2023

Abstract
This paper investigates a digital system for real-time nuclear data (pulse) analysis based on a field programmable gate array and a computer-based data acquisition software for high count rate and high-resolution spectroscopy applications. A novel FPGA-based design is proposed with enhanced universality for real-time energy spectroscopy applications encompassing gamma and charged particles in noisy environments. This design implements an adaptive digital pre-filter for noise reduction without distorting the preamplifier pulse shape for improvement in energy resolution. This adaptive approach can be used for a wide range of input pulses with varying rise and fall times without deteriorating the signal-to-noise ratio. The design incorporates a digital trapezoidal filter with a triggerless peak detection algorithm for improvement in energy resolution. A high-speed dual clock first-in-first-out memory is implemented for handling high data rates. The real-time analysis of the FPGA internal signals and nuclear spectroscopy experiments with high count rate have been carried out with random nuclear pulses using an emulator. The results have been compared with conventional VERSA-Module Euro data acquisition system and CR_RC based digital pulse processing approaches.
CMIP6 skill at predicting interannual to multi-decadal summer monsoon precipitation variability
Authors: Monerie Paul-Arthur , Robson Jon I , Ndiaye Cassien D , Song Cenyao , Turner Andrew G 
Published: July 2023

Abstract
Monsoons affect the economy, agriculture, and human health of two thirds of the world’s population. Therefore, predicting variations in monsoon precipitation is societally important. We explore the ability of climate models from the sixth phase of the Climate Model Intercomparison Project to predict summer monsoon precipitation variability by using hindcasts from the Decadal Climate Prediction Project (Component A). The multi-model ensemble-mean shows significant skill at predicting summer monsoon precipitation from one year to 6–9 years ahead. However, this skill is dependent on the model, monsoon domain, and lead-time. In general, the skill of the multi-model ensemble-mean prediction is low in year 1 but increases for longer-lead times and is largely consistent with externally forced changes. The best captured region is northern Africa for the 2–5 and 6–9 year forecast lead times. In contrast, there is no significant skill using the ensemble-mean over East and South Asia and, furthermore, there is significant spread in skill among models for these domains. By sub-sampling the ensemble we show that the difference in skill between models is tied to the simulation of the externally forced response over East and South Asia, with models with a more skilful forced response capable of better predictions. A further contribution is from skilful prediction of Pacific Ocean temperatures for the South Asian summer monsoon at longer lead-times. Therefore, these results indicate that predictions of the East and South Asian monsoons could be significantly improved.
Schmidt decomposition of parity adapted coherent states for symmetric multi-quDits
Authors: Guerrero Julio , Sojo Antonio , Mayorgas Alberto , Calixto Manuel 
Published: July 2023

Abstract
In this paper we study the entanglement in symmetric N-quDit systems. In particular we use generalizations to U(D) of spin U(2) coherent states (CSs) and their projections on definite parity

c

∈

Z

2

D
−
1

(multicomponent Schrödinger cat) states and we analyse their reduced density matrices when tracing out M < N quDits. The eigenvalues (or Schmidt coefficients) of these reduced density matrices are completely characterized, allowing to prove a theorem for the decomposition of a N-quDit Schrödinger cat state with a given parity

c

into a sum over all possible parities of tensor products of Schrödinger cat states of N − M and M particles. Diverse asymptotic properties of the Schmidt eigenvalues are studied and, in particular, for the (rescaled) double thermodynamic limit (

N
,
M
→
∞
,
M

/

N

fixed), we reproduce and generalize to quDits known results for photon loss of parity adapted CSs of the harmonic oscillator, thus providing an unified Schmidt decomposition for both multi-quDits and (multi-mode) photons. These results allow to determine the entanglement properties of these states and also their decoherence properties under quDit loss, where we demonstrate the robustness of these states.
Nonstationary frames of translates and frames from the Weyl–Heisenberg group and the extended affine group*
Authors: Jindal Divya , Vashisht Lalit Kumar 
Published: July 2023

AbstractIn this work, we analyze Gabor frames for the Weyl–Heisenberg group and wavelet frames for the extended affine group. Firstly, we give necessary and sufficient conditions for the existence of nonstationary frames of translates. Using these conditions, we prove the existence of Gabor frames from the Weyl–Heisenberg group and wavelet frames for the extended affine group. We present a representation of functions in the closure of the linear span of a Gabor frame sequence in terms of the Fourier transform of window functions. We show that the canonical dual of frames of translates has the same structure. An approximation of the inverse of the frame operator of nonstationary frames of translates is presented. It is shown that a nonstationary frame of translates is a Riesz basis if it is linearly independent and satisfies the approximation of the inverse frame operator. Finally, we give equivalent conditions for a nonstationary sequence of translates to be linearly independent.
Spectral link and wave breaking enhanced dissipation of turbulent kinetic energy
Authors: Zhang Dongrong 
Published: July 2023

Abstract
At the ocean surface, the wind shear stress not only drives the ocean currents, but also generates waves and breaks waves. The turbulence in the ocean surface layer (OSL) is much enhanced due to wave breaking. A typical field measurement of this enhanced turbulence is the dissipation of turbulent kinetic energy (TKE) ɛ at a depth y below the ocean surface, which scales as

ε
∝

y

−
a

. However, there is significant uncertainty as to the value of this power law exponent a in different field measurements. Here we consider the dissipation of TKE in the OSL by adding the wave breaking influence into the theoretical framework of the spectral link, originally proposed in sheared flows with no waves (Gioia et al 2010 Phys. Rev. Lett.
105 184501). The expanded theory recovers the power law of ɛ and sheds light on the uncertainty of the power law exponent a by relating it to the variation of the turbulent Prandtl number. In addition, we also apply this theory to oscillating-grid turbulence.
Effect of thermal treatment of chromium iron melts on the structure and properties of castings
Authors: Panichkin Aleksander , Wieleba Wojciech , Kenzhegulov Aidar , Uskenbayeva Alma , Mamaeva Axaule , Imbarova Akerke , Kvyatkovskii Sergey , Kasenova Batikha 
Published: July 2023

Abstract
The article describes the results of experimental studies for the effect of thermal treatment (TTM) of G-X300CrMo27-1 high-chromium cast iron samples in the solid–liquid and liquid state on the structure, phase composition, and properties of ingots. For ingots with a carbon content of 2.8 to 4.5 wt%, cooled at a rate of 3.3 * 10−2 deg s−1, the dependencies of the structure, phase composition, composition of primary, eutectic carbides and matrix, hardness HV and microhardness of its individual phases and resistance to abrasive wear from the temperature of isothermal holding at TTM. A significant effect of the TTM temperature of melts on the structure and properties of high-chromium cast iron ingots was detected. The temperatures of inflection on the plotted curves for the characteristics of the structure and properties of the ingots were associated with a phase transition in iron at 1400 °C and with a point on the phase diagram liquidus of the Fe-Cr system. This as well as an increase in the concentration of chromium in the composition of primary carbides with an increase in the TTM temperature up to 1480 °C, made it possible to assume that (Cr, Fe)7C3 clusters stable in composition were formed in the melt of such cast irons below ∼1500 °C. The reasons for the decrease in the size of primary carbides during G-X300CrMo27-1 molten chromium iron overheating above 1500 °C were substantiated based on these data. During the TTM of fine-crystalline ingots made of hypereutectic cast iron in the temperature range between the liquidus and solidus lines, it was detected that the primary carbides (Cr, Fe)7C3 recrystallized resulting in a significant decrease in the chromium content and an increase in the iron content in them. At the same time, their sizes did not change significantly. Their share increased, and the share of eutectic carbides decreased. Such a process also had a significant impact on the properties of the resulting ingots. The most preferable temperatures of hot metal cast irons in the liquid and solid–liquid states were identified based on the results of the studies.
Chaining for accurate alignment of erroneous long reads to acyclic variation graphs
Authors: Ma Jun , Cáceres Manuel , Salmela Leena , Mäkinen Veli , Tomescu Alexandru I 
Published: July 2023

Abstract

Motivation
Aligning reads to a variation graph is a standard task in pangenomics, with downstream applications such as improving variant calling. While the vg toolkit [Garrison et al. (Variation graph toolkit improves read mapping by representing genetic variation in the reference. Nat Biotechnol 2018;36:875–9)] is a popular aligner of short reads, GraphAligner [Rautiainen and Marschall (GraphAligner: rapid and versatile sequence-to-graph alignment. Genome Biol 2020;21:253–28)] is the state-of-the-art aligner of erroneous long reads. GraphAligner works by finding candidate read occurrences based on individually extending the best seeds of the read in the variation graph. However, a more principled approach recognized in the community is to co-linearly chain multiple seeds.

Results
We present a new algorithm to co-linearly chain a set of seeds in a string labeled acyclic graph, together with the first efficient implementation of such a co-linear chaining algorithm into a new aligner of erroneous long reads to acyclic variation graphs, GraphChainer. We run experiments aligning real and simulated PacBio CLR reads with average error rates 15% and 5%. Compared to GraphAligner, GraphChainer aligns 12–17% more reads, and 21–28% more total read length, on real PacBio CLR reads from human chromosomes 1, 22, and the whole human pangenome. On both simulated and real data, GraphChainer aligns between 95% and 99% of all reads, and of total read length. We also show that minigraph [Li et al. (The design and construction of reference pangenome graphs with minigraph. Genome Biol 2020;21:265–19.)] and minichain [Chandra and Jain (Sequence to graph alignment using gap-sensitive co-linear chaining. In: Proceedings of the 27th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2023). Springer, 2023, 58–73.)] obtain an accuracy of &lt;60% on this setting.

Availability and implementation
GraphChainer is freely available at https://github.com/algbio/GraphChainer. The datasets and evaluation pipeline can be reached from the previous address.
Integration of event experiences to build relational knowledge in the human brain
Authors: Leshinskaya Anna , Nguyen Mitchell A , Ranganath Charan 
Published: July 2023

Abstract
We investigated how the human brain integrates experiences of specific events to build general knowledge about typical event structure. We examined an episodic memory area important for temporal relations, anterior-lateral entorhinal cortex, and a semantic memory area important for action concepts, middle temporal gyrus, to understand how and when these areas contribute to these processes. Participants underwent functional magnetic resonance imaging while learning and recalling temporal relations among novel events over two sessions 1 week apart. Across distinct contexts, individual temporal relations among events could either be consistent or inconsistent with each other. Within each context, during the recall phase, we measured associative coding as the difference of multivoxel correlations among related vs unrelated pairs of events. Neural regions that form integrative representations should exhibit stronger associative coding in the consistent than the inconsistent contexts. We found evidence of integrative representations that emerged quickly in anterior-lateral entorhinal cortex (at session 1), and only subsequently in middle temporal gyrus, which showed a significant change across sessions. A complementary pattern of findings was seen with signatures during learning. This suggests that integrative representations are established early in anterior-lateral entorhinal cortex and may be a pathway to the later emergence of semantic knowledge in middle temporal gyrus.